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Posted to commits@tvm.apache.org by tq...@apache.org on 2024/02/15 18:18:35 UTC

(tvm-site) branch asf-site updated: deploying docs (apache/tvm@67bd739bed70707f92f1da3c25b380bcb436f366)

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 94d9b544b4 deploying docs (apache/tvm@67bd739bed70707f92f1da3c25b380bcb436f366)
94d9b544b4 is described below

commit 94d9b544b4b2da8a6dde698a95ce0927291dd29f
Author: tvm-bot <95...@users.noreply.github.com>
AuthorDate: Thu Feb 15 18:18:29 2024 +0000

    deploying docs (apache/tvm@67bd739bed70707f92f1da3c25b380bcb436f366)
---
 .../how_to/compile_models/from_darknet.rst.txt     |   2 +-
 .../how_to/compile_models/from_oneflow.rst.txt     |   2 +-
 .../how_to/compile_models/from_paddle.rst.txt      |   5 +
 .../how_to/compile_models/from_pytorch.rst.txt     |   2 +-
 .../how_to/compile_models/from_tensorflow.rst.txt  |   2 +-
 .../compile_models/sg_execution_times.rst.txt      |  20 +-
 .../deploy_models/deploy_model_on_adreno.rst.txt   |   4 +-
 .../deploy_model_on_adreno_tvmc.rst.txt            |   2 +-
 .../deploy_models/deploy_model_on_android.rst.txt  |   2 +-
 .../deploy_object_detection_pytorch.rst.txt        |   4 +-
 .../deploy_models/deploy_prequantized.rst.txt      |   6 +-
 .../deploy_prequantized_tflite.rst.txt             |   2 +-
 .../deploy_models/sg_execution_times.rst.txt       |  18 +-
 .../how_to/extend_tvm/sg_execution_times.rst.txt   |   6 +-
 .../how_to/extend_tvm/use_pass_instrument.rst.txt  |  16 +-
 .../optimize_operators/opt_conv_cuda.rst.txt       |   2 +-
 .../optimize_operators/opt_conv_tensorcore.rst.txt |   2 +-
 .../how_to/optimize_operators/opt_gemm.rst.txt     |  16 +-
 .../optimize_operators/sg_execution_times.rst.txt  |   8 +-
 .../sg_execution_times.rst.txt                     |  14 +-
 .../tune_conv2d_layer_cuda.rst.txt                 |   2 +-
 .../tune_network_cuda.rst.txt                      |   4 +-
 .../tune_network_x86.rst.txt                       |   4 +-
 .../tune_with_autotvm/sg_execution_times.rst.txt   |   6 +-
 .../tune_with_autotvm/tune_conv2d_cuda.rst.txt     |   2 +-
 .../work_with_microtvm/micro_autotune.rst.txt      |  18 +-
 .../work_with_microtvm/micro_pytorch.rst.txt       |   4 +-
 .../how_to/work_with_microtvm/micro_train.rst.txt  |  16 +-
 .../work_with_microtvm/sg_execution_times.rst.txt  |  14 +-
 .../work_with_relay/sg_execution_times.rst.txt     |   8 +-
 .../how_to/work_with_schedules/intrin_math.rst.txt |   2 +-
 .../work_with_schedules/sg_execution_times.rst.txt |  18 +-
 .../tutorials/frontend/deploy_detection.rst.txt    |   7 +-
 .../tutorials/frontend/sg_execution_times.rst.txt  |   4 +-
 .../tutorials/optimize/sg_execution_times.rst.txt  |   6 +-
 .../topic/vta/tutorials/sg_execution_times.rst.txt |   6 +-
 .../tutorial/auto_scheduler_matmul_x86.rst.txt     |  11 +-
 docs/_sources/tutorial/autotvm_matmul_x86.rst.txt  |  20 +-
 docs/_sources/tutorial/autotvm_relay_x86.rst.txt   |  59 ++---
 .../tutorial/cross_compilation_and_rpc.rst.txt     |   2 +-
 docs/_sources/tutorial/intro_topi.rst.txt          |   2 +-
 docs/_sources/tutorial/sg_execution_times.rst.txt  |  24 +-
 .../tutorial/tensor_expr_get_started.rst.txt       |  49 ++--
 docs/commit_hash                                   |   2 +-
 docs/how_to/compile_models/from_darknet.html       |   2 +-
 docs/how_to/compile_models/from_oneflow.html       |  18 +-
 docs/how_to/compile_models/from_paddle.html        |   1 +
 docs/how_to/compile_models/from_pytorch.html       |  14 +-
 docs/how_to/compile_models/from_tensorflow.html    |   2 +-
 docs/how_to/compile_models/sg_execution_times.html |  20 +-
 .../deploy_models/deploy_model_on_adreno.html      |   4 +-
 .../deploy_models/deploy_model_on_adreno_tvmc.html |  22 +-
 .../deploy_models/deploy_model_on_android.html     |   2 +-
 .../deploy_object_detection_pytorch.html           |  63 ++---
 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  |  18 +-
 docs/how_to/extend_tvm/sg_execution_times.html     |   6 +-
 docs/how_to/extend_tvm/use_pass_instrument.html    |  16 +-
 docs/how_to/optimize_operators/opt_conv_cuda.html  |   2 +-
 .../optimize_operators/opt_conv_tensorcore.html    |   2 +-
 docs/how_to/optimize_operators/opt_gemm.html       |  16 +-
 .../optimize_operators/sg_execution_times.html     |   8 +-
 .../sg_execution_times.html                        |  18 +-
 .../tune_conv2d_layer_cuda.html                    |   2 +-
 .../tune_with_autoscheduler/tune_network_cuda.html |   4 +-
 .../tune_with_autoscheduler/tune_network_x86.html  |   4 +-
 .../tune_with_autotvm/sg_execution_times.html      |   6 +-
 .../how_to/tune_with_autotvm/tune_conv2d_cuda.html |   2 +-
 docs/how_to/work_with_microtvm/micro_autotune.html |  18 +-
 docs/how_to/work_with_microtvm/micro_pytorch.html  |   6 +-
 docs/how_to/work_with_microtvm/micro_train.html    |  16 +-
 .../work_with_microtvm/sg_execution_times.html     |  14 +-
 .../how_to/work_with_relay/sg_execution_times.html |   8 +-
 docs/how_to/work_with_schedules/intrin_math.html   |   2 +-
 .../work_with_schedules/sg_execution_times.html    |  18 +-
 .../api/doxygen/classtvm_1_1PrinterConfigNode.html |  37 +--
 docs/reference/api/doxygen/doc_8h_source.html      |   2 +-
 .../api/doxygen/ir__docsifier_8h_source.html       |   2 +-
 .../api/doxygen/script__printer_8h_source.html     | 138 +++++------
 docs/reference/api/python/auto_scheduler.html      |   4 +-
 .../api/typedoc/classes/ArtifactCache.html         |   8 +-
 docs/reference/api/typedoc/classes/DLDataType.html |  14 +-
 docs/reference/api/typedoc/classes/DLDevice.html   |  12 +-
 docs/reference/api/typedoc/classes/Instance.html   | 104 ++++----
 docs/reference/api/typedoc/classes/Module.html     |  12 +-
 docs/reference/api/typedoc/classes/NDArray.html    |  30 +--
 docs/reference/api/typedoc/classes/RPCServer.html  |  16 +-
 docs/reference/api/typedoc/classes/Scalar.html     |   8 +-
 docs/reference/api/typedoc/classes/TVMArray.html   |  16 +-
 docs/reference/api/typedoc/classes/TVMObject.html  |  12 +-
 .../api/typedoc/classes/VirtualMachine.html        |  10 +-
 .../classes/_internal_.CachedCallStack.html        |  36 +--
 .../classes/_internal_.CanvasRenderManager.html    |  10 +-
 .../typedoc/classes/_internal_.Environment.html    |  14 +-
 .../api/typedoc/classes/_internal_.FFILibrary.html |  22 +-
 .../api/typedoc/classes/_internal_.Memory.html     |  36 +--
 .../typedoc/classes/_internal_.PackedFuncCell.html |   8 +-
 .../typedoc/classes/_internal_.RuntimeContext.html |  54 ++--
 .../api/typedoc/classes/_internal_.TVMString.html  |  14 +-
 .../typedoc/classes/_internal_.WebGPUContext.html  |  28 +--
 .../typedoc/enums/_internal_.RPCServerState.html   |  14 +-
 docs/reference/api/typedoc/functions/assert.html   |   2 +-
 .../api/typedoc/functions/createPolyfillWASI.html  |   2 +-
 .../api/typedoc/functions/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 +-
 .../interfaces/_internal_.FunctionInfo.html        |   8 +-
 .../interfaces/_internal_.NDArrayCacheEntry.html   |  14 +-
 .../interfaces/_internal_.NDArrayShardEntry.html   |  10 +-
 .../api/typedoc/types/InitProgressCallback.html    |   2 +-
 docs/reference/api/typedoc/types/PackedFunc.html   |   2 +-
 .../types/_internal_.FObjectConstructor.html       |   2 +-
 .../types/_internal_.FTVMWasmAllocSpace.html       |   2 +-
 .../types/_internal_.FTVMWasmFreeSpace.html        |   2 +-
 .../types/_internal_.FTVMWasmPackedCFunc.html      |   2 +-
 .../api/typedoc/types/_internal_.Pointer.html      |   2 +-
 .../typedoc/types/_internal_.TVMObjectBase.html    |   2 +-
 docs/searchindex.js                                |   2 +-
 .../vta/tutorials/frontend/deploy_detection.html   |   3 +-
 .../vta/tutorials/frontend/sg_execution_times.html |   4 +-
 .../vta/tutorials/optimize/sg_execution_times.html |   6 +-
 docs/topic/vta/tutorials/sg_execution_times.html   |   6 +-
 docs/tutorial/auto_scheduler_matmul_x86.html       |   7 +-
 docs/tutorial/autotvm_matmul_x86.html              |  20 +-
 docs/tutorial/autotvm_relay_x86.html               | 273 +++++++++++----------
 docs/tutorial/cross_compilation_and_rpc.html       |   2 +-
 docs/tutorial/intro_topi.html                      |   2 +-
 docs/tutorial/sg_execution_times.html              |  30 +--
 docs/tutorial/tensor_expr_get_started.html         |  45 ++--
 135 files changed, 976 insertions(+), 944 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 a866052fd9..d89637ff06 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  31.637 seconds)
+   **Total running time of the script:** ( 1 minutes  35.449 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 979064a99a..00fc40bf30 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, 60.2MB/s]      29%|##9       | 12.1M/41.5M [00:00<00:00, 44.4MB/s]      40%|###9      | 16.5M/41.5M [00:00<00:00, 42.7MB/s]      54%|#####3    | 22.3M/41.5M [00:00<00:00, 45.5MB/s]      64%|######4   | 26.7M/41.5M [00:00<00:00, 44.8MB/s]      77%|#######7  | 32.0M/41.5M [00:00<00:00, 42.6MB/s]      89%|########9 | 37.0M/41.5M [00:00<00:00, 45.3MB/s]     100%|#########9| 41.4M/41.5M [00:01<00:00, 40.2MB/s]     100%|##########| 41.5M/41.5M [00:01<00:00, 43.2MB/s]
+       0%|          | 0.00/41.5M [00:00<?, ?B/s]      15%|#5        | 6.33M/41.5M [00:00<00:01, 27.3MB/s]      22%|##1       | 8.94M/41.5M [00:00<00:01, 26.7MB/s]      35%|###4      | 14.3M/41.5M [00:00<00:01, 25.8MB/s]      40%|####      | 16.8M/41.5M [00:00<00:01, 23.9MB/s]      54%|#####3    | 22.3M/41.5M [00:00<00:00, 26.5MB/s]      60%|#####9    | 24.8M/41.5M [00:01<00:00, 23.6MB/s]      80%|#######9  | 33.0M/41.5M [00:01<00:00, 37.5MB/s]      92%|#########2| 38.3M/41.5M [00:01<00:00, 40.9MB/s]     100%|##########| 41.5M/41.5M [00:01<00:00, 32.3MB/s]
 
 
 
diff --git a/docs/_sources/how_to/compile_models/from_paddle.rst.txt b/docs/_sources/how_to/compile_models/from_paddle.rst.txt
index 8df75c9e33..da1e688120 100644
--- a/docs/_sources/how_to/compile_models/from_paddle.rst.txt
+++ b/docs/_sources/how_to/compile_models/from_paddle.rst.txt
@@ -207,6 +207,11 @@ Look up prediction top 1 index in 1000 class synset.
 
 
 
+.. rst-class:: sphx-glr-timing
+
+   **Total running time of the script:** ( 1 minutes  2.454 seconds)
+
+
 .. _sphx_glr_download_how_to_compile_models_from_paddle.py:
 
 .. only:: html
diff --git a/docs/_sources/how_to/compile_models/from_pytorch.rst.txt b/docs/_sources/how_to/compile_models/from_pytorch.rst.txt
index 424eb23e5e..ebe1e2a076 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, 55.4MB/s]      26%|##5       | 11.6M/44.7M [00:00<00:00, 46.1MB/s]      36%|###5      | 16.0M/44.7M [00:00<00:01, 30.0MB/s]      54%|#####3    | 24.0M/44.7M [00:00<00:00, 40.6MB/s]      71%|#######1  | 31.9M/44.7M [00:00<00:00, 51.6MB/s]      84%|########4 | 37.5M/44.7M [00:00<00:00, 46.4MB/s]      95%|#########5| 42.5M/44.7M [00:01<00:00, 41.4MB/s]     100%|##########| 44.7M/44.7M [00:01<00:00, 40.1MB/s]
+       0%|          | 0.00/44.7M [00:00<?, ?B/s]      14%|#4        | 6.30M/44.7M [00:00<00:00, 41.5MB/s]      23%|##2       | 10.3M/44.7M [00:00<00:01, 31.6MB/s]      36%|###5      | 16.0M/44.7M [00:00<00:01, 30.0MB/s]      54%|#####3    | 24.0M/44.7M [00:00<00:00, 37.6MB/s]      62%|######1   | 27.6M/44.7M [00:00<00:00, 32.8MB/s]      72%|#######1  | 32.0M/44.7M [00:01<00:00, 31.3MB/s]      90%|########9 | 40.0M/44.7M [00:01<00:00, 34.2MB/s]     100%|##########| 44.7M/44.7M [00:01<00:00, 37.0MB/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 0a9b891a71..4faf9c4db2 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  27.530 seconds)
+   **Total running time of the script:** ( 1 minutes  30.961 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 e6e93f71f0..1b4f0c5972 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
 =================
-**06:21.908** total execution time for **how_to_compile_models** files:
+**06:42.103** total execution time for **how_to_compile_models** files:
 
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_darknet.py` (``from_darknet.py``)       | 01:31.637 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_darknet.py` (``from_darknet.py``)       | 01:35.449 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_tensorflow.py` (``from_tensorflow.py``) | 01:27.530 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_tensorflow.py` (``from_tensorflow.py``) | 01:30.961 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_paddle.py` (``from_paddle.py``)         | 00:58.592 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_paddle.py` (``from_paddle.py``)         | 01:02.454 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_oneflow.py` (``from_oneflow.py``)       | 00:40.650 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_oneflow.py` (``from_oneflow.py``)       | 00:42.943 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_coreml.py` (``from_coreml.py``)         | 00:36.355 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_coreml.py` (``from_coreml.py``)         | 00:38.529 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_pytorch.py` (``from_pytorch.py``)       | 00:27.236 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_pytorch.py` (``from_pytorch.py``)       | 00:28.661 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_keras.py` (``from_keras.py``)           | 00:26.295 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_keras.py` (``from_keras.py``)           | 00:27.788 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_tflite.py` (``from_tflite.py``)         | 00:10.822 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_tflite.py` (``from_tflite.py``)         | 00:12.412 | 0.0 MB |
 +-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_onnx.py` (``from_onnx.py``)             | 00:02.791 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_onnx.py` (``from_onnx.py``)             | 00:02.907 | 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 ec5e7d1bc9..27ba36e45e 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)  
-     4005.7703    4006.1128    4013.0085    3995.7190      5.6147                  
+     4116.3261    4116.1077    4117.5492    4115.4939      0.7174                  
 
 
 
@@ -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  16.927 seconds)
+   **Total running time of the script:** ( 1 minutes  19.459 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 df25ace705..27435c8667 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: 1s       8159232/102967424 [=>............................] - ETA: 2s       8380416/102967424 [=>............................] - ETA: 3s      15024128/102967424 [===>..........................] - ETA: 2s      16769024/102967424 [===>..........................] - ETA: 2s      23412736/102967424 [=====>........................] - ETA: 2s      25157632/102967424 [======>.......................] - ETA: 2s
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  ETA: 0s      67100672/102967424 [==================>...........] - ETA: 0s      71352320/102967424 [===================>..........] - ETA: 0s      75489280/102967424 [====================>.........] - ETA: 0s      79675392/102967424 [======================>.......] - ETA: 0s      82124800/102967424 [======================>.......] - ETA: 0s      83877888/102967424 [=======================>......] - ETA: 0s      90521600/102967424 [=========================>....] - ETA: 0s      92266496/102967424
  [=========================>....] - ETA: 0s      98910208/102967424 [===========================>..] - ETA: 0s     100646912/102967424 [============================>.] - ETA: 0s     102850560/102967424 [============================>.] - ETA: 0s     102967424/102967424 [==============================] - 3s 0us/step
+          8192/102967424 [..............................] - ETA: 0s       6635520/102967424 [>.............................] - ETA: 1s       8380416/102967424 [=>............................] - ETA: 2s      16769024/102967424 [===>..........................] - ETA: 1s      25157632/102967424 [======>.......................] - ETA: 1s      33546240/102967424 [========>.....................] - ETA: 1s      41934848/102967424 [===========>..................] - ETA: 1s      48578560/102967424 [=============>................] - ETA: 1s
       50323456/102967424 [=============>................] - ETA: 1s      56967168/102967424 [===============>..............] - ETA: 0s      58712064/102967424 [================>.............] - ETA: 1s      63160320/102967424 [=================>............] - ETA: 0s      66756608/102967424 [==================>...........] - ETA: 0s      67100672/102967424 [==================>...........] - ETA: 0s      69296128/102967424 [===================>..........] - ETA: 0s      72540160/102967424 [====================>.........] -
  ETA: 0s      75489280/102967424 [====================>.........] - ETA: 0s      83877888/102967424 [=======================>......] - ETA: 0s      90521600/102967424 [=========================>....] - ETA: 0s      92266496/102967424 [=========================>....] - ETA: 0s      98910208/102967424 [===========================>..] - ETA: 0s     100646912/102967424 [============================>.] - ETA: 0s     102850560/102967424 [============================>.] - ETA: 0s     102967424/102967424
  [==============================] - 3s 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 0f8cafe8fc..7a9e05a364 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)  
-      13.8952      13.8335      14.5689      13.6890       0.2441                  
+      15.3068      15.3268      15.5920      14.9674       0.2129                  
 
 
 
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 95bc4f1664..265343bd92 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<00:07, 22.6MB/s]       6%|5         | 9.76M/170M [00:00<00:06, 27.1MB/s]       8%|8         | 14.3M/170M [00:00<00:05, 31.0MB/s]      10%|#         | 17.5M/170M [00:00<00:05, 27.4MB/s]      13%|#3        | 22.3M/170M [00:00<00:05, 25.9MB/s]      15%|#4        | 24.9M/170M [00:01<00:06, 24.3MB/s]      19%|#8        | 32.0M/170M [00:01<00:04, 30.2MB/s]      24%|##3       | 40.0M/170M [00:01<00:03, 37.8MB/s]      27%|##7       | 46.3M/170M [00:01<00:03, 36.3MB/s]      29%|##9       | 49.8M/170M [00:01<00:03, 34.7MB/s]      33%|###2      | 56.0M/170M [00:01<00:02, 40.1MB/s]      37%|###6      | 62.3M/170M [00:01<00:02, 41.2MB/s]      39%|###9      | 66.3M/170M [00:02<00:03, 34.9MB/s]      42%|####2     | 72.0M/170M [00:02<00:02, 39.4MB/s]      46%|####6     | 78.3M/170M [00:02<00:02, 41.8MB/s]      49%|####8     | 82.5M/170M [00:02<00:02, 38.5MB/s]      54%|#####4    | 91.8M/170M [00:02<00:01, 52.3MB/
 s]      57%|#####7    | 97.2M/170M [00:02<00:01, 42.0MB/s]      61%|######1   | 104M/170M [00:02<00:01, 47.2MB/s]       66%|######5   | 112M/170M [00:03<00:01, 48.4MB/s]      71%|#######   | 120M/170M [00:03<00:00, 56.3MB/s]      74%|#######4  | 126M/170M [00:03<00:00, 54.4MB/s]      78%|#######7  | 132M/170M [00:03<00:00, 51.0MB/s]      81%|########  | 137M/170M [00:03<00:00, 45.1MB/s]      85%|########4 | 144M/170M [00:03<00:00, 51.3MB/s]      89%|########9 | 152M/170M [00:03<00:00, 50.0MB/s]      93%|#########3| 158M/170M [00:04<00:00, 50.1MB/s]      96%|#########6| 163M/170M [00:04<00:00, 46.4MB/s]      99%|#########8| 168M/170M [00:04<00:00, 35.4MB/s]     100%|##########| 170M/170M [00:04<00:00, 39.7MB/s]
+       0%|          | 0.00/170M [00:00<?, ?B/s]       4%|3         | 6.30M/170M [00:00<00:05, 30.1MB/s]       5%|5         | 9.18M/170M [00:00<00:05, 28.8MB/s]       8%|8         | 14.3M/170M [00:00<00:04, 37.0MB/s]      11%|#         | 18.0M/170M [00:00<00:04, 31.9MB/s]      13%|#3        | 22.3M/170M [00:00<00:05, 28.3MB/s]      15%|#5        | 26.0M/170M [00:00<00:04, 30.9MB/s]      18%|#7        | 30.3M/170M [00:01<00:05, 29.1MB/s]      20%|#9        | 33.2M/170M [00:01<00:06, 21.5MB/s]      24%|##3       | 40.1M/170M [00:01<00:04, 31.5MB/s]      27%|##7       | 46.3M/170M [00:01<00:03, 36.3MB/s]      30%|##9       | 50.4M/170M [00:01<00:03, 34.8MB/s]      33%|###2      | 56.0M/170M [00:01<00:03, 34.9MB/s]      38%|###7      | 64.0M/170M [00:02<00:02, 39.9MB/s]      42%|####2     | 72.0M/170M [00:02<00:02, 49.4MB/s]      45%|####5     | 77.2M/170M [00:02<00:02, 44.0MB/s]      48%|####8     | 81.8M/170M [00:02<00:02, 43.8MB/s]      52%|#####1    | 88.0M/170M [00:02<00:01, 44.8MB/
 s]      57%|#####6    | 96.0M/170M [00:02<00:01, 44.3MB/s]      60%|######    | 102M/170M [00:02<00:01, 37.2MB/s]       62%|######2   | 106M/170M [00:03<00:02, 30.0MB/s]      66%|######5   | 112M/170M [00:03<00:01, 34.5MB/s]      71%|#######   | 120M/170M [00:03<00:01, 44.1MB/s]      74%|#######4  | 126M/170M [00:03<00:01, 34.3MB/s]      77%|#######6  | 130M/170M [00:03<00:01, 32.5MB/s]      80%|########  | 136M/170M [00:04<00:01, 30.0MB/s]      82%|########2 | 139M/170M [00:04<00:01, 28.0MB/s]      85%|########4 | 144M/170M [00:04<00:00, 28.8MB/s]      88%|########8 | 150M/170M [00:04<00:00, 31.9MB/s]      92%|#########1| 156M/170M [00:04<00:00, 36.6MB/s]      94%|#########3| 159M/170M [00:04<00:00, 36.0MB/s]      97%|#########6| 164M/170M [00:04<00:00, 39.3MB/s]      99%|#########9| 168M/170M [00:05<00:00, 35.4MB/s]     100%|##########| 170M/170M [00:05<00:00, 35.2MB/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  22.657 seconds)
+   **Total running time of the script:** ( 3 minutes  36.661 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 169b113471..a631f2d790 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, 58.4MB/s]     100%|##########| 13.6M/13.6M [00:00<00:00, 39.8MB/s]
+       0%|          | 0.00/13.6M [00:00<?, ?B/s]      47%|####6     | 6.30M/13.6M [00:00<00:00, 16.7MB/s]      59%|#####8    | 7.99M/13.6M [00:00<00:00, 14.2MB/s]      90%|########9 | 12.2M/13.6M [00:00<00:00, 20.4MB/s]     100%|##########| 13.6M/13.6M [00:00<00:00, 20.4MB/s]
 
 
 
@@ -409,7 +409,7 @@ Here we give an example of how to measure performance of TVM compiled models.
 
     Execution time summary:
      mean (ms)   median (ms)    max (ms)     min (ms)     std (ms)  
-      86.5491      86.0988      90.4162      85.6121       1.1157                  
+      89.0746      89.0106      91.5111      88.4988       0.4167                  
 
 
 
@@ -457,7 +457,7 @@ TODO
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  24.914 seconds)
+   **Total running time of the script:** ( 1 minutes  29.046 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 fce74cd0c8..eab56e7880 100644
--- a/docs/_sources/how_to/deploy_models/deploy_prequantized_tflite.rst.txt
+++ b/docs/_sources/how_to/deploy_models/deploy_prequantized_tflite.rst.txt
@@ -423,7 +423,7 @@ Here we give an example of how to measure performance of TVM compiled models.
 
     Execution time summary:
      mean (ms)   median (ms)    max (ms)     min (ms)     std (ms)  
-      107.1608     106.5409     120.8698     104.3406      2.5093                  
+      110.7225     109.9868     178.6624     109.2901      6.8405                  
 
 
 
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 3e09255b71..4c52f39af1 100644
--- a/docs/_sources/how_to/deploy_models/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/deploy_models/sg_execution_times.rst.txt
@@ -5,24 +5,24 @@
 
 Computation times
 =================
-**09:26.288** total execution time for **how_to_deploy_models** files:
+**09:55.414** 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``) | 03:22.657 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_object_detection_pytorch.py` (``deploy_object_detection_pytorch.py``) | 03:36.661 | 0.0 MB |
 +------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized.py` (``deploy_prequantized.py``)                         | 01:24.914 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized.py` (``deploy_prequantized.py``)                         | 01:29.046 | 0.0 MB |
 +------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_adreno.py` (``deploy_model_on_adreno.py``)                   | 01:16.927 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_adreno.py` (``deploy_model_on_adreno.py``)                   | 01:19.459 | 0.0 MB |
 +------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized_tflite.py` (``deploy_prequantized_tflite.py``)           | 00:50.121 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized_tflite.py` (``deploy_prequantized_tflite.py``)           | 00:51.773 | 0.0 MB |
 +------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_android.py` (``deploy_model_on_android.py``)                 | 00:48.699 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_android.py` (``deploy_model_on_android.py``)                 | 00:50.870 | 0.0 MB |
 +------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_adreno_tvmc.py` (``deploy_model_on_adreno_tvmc.py``)         | 00:45.841 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_adreno_tvmc.py` (``deploy_model_on_adreno_tvmc.py``)         | 00:47.734 | 0.0 MB |
 +------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_rasp.py` (``deploy_model_on_rasp.py``)                       | 00:28.569 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_rasp.py` (``deploy_model_on_rasp.py``)                       | 00:29.962 | 0.0 MB |
 +------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_nano.py` (``deploy_model_on_nano.py``)                       | 00:28.551 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_nano.py` (``deploy_model_on_nano.py``)                       | 00:29.899 | 0.0 MB |
 +------------------------------------------------------------------------------------------------------------------+-----------+--------+
 | :ref:`sphx_glr_how_to_deploy_models_deploy_sparse.py` (``deploy_sparse.py``)                                     | 00:00.008 | 0.0 MB |
 +------------------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/docs/_sources/how_to/extend_tvm/sg_execution_times.rst.txt b/docs/_sources/how_to/extend_tvm/sg_execution_times.rst.txt
index 42ec7b7533..8c5f41f6fd 100644
--- a/docs/_sources/how_to/extend_tvm/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/extend_tvm/sg_execution_times.rst.txt
@@ -5,12 +5,12 @@
 
 Computation times
 =================
-**00:03.766** total execution time for **how_to_extend_tvm** files:
+**00:04.036** total execution time for **how_to_extend_tvm** files:
 
 +-------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_extend_tvm_use_pass_instrument.py` (``use_pass_instrument.py``)     | 00:02.637 | 0.0 MB |
+| :ref:`sphx_glr_how_to_extend_tvm_use_pass_instrument.py` (``use_pass_instrument.py``)     | 00:02.854 | 0.0 MB |
 +-------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_extend_tvm_use_pass_infra.py` (``use_pass_infra.py``)               | 00:01.122 | 0.0 MB |
+| :ref:`sphx_glr_how_to_extend_tvm_use_pass_infra.py` (``use_pass_infra.py``)               | 00:01.175 | 0.0 MB |
 +-------------------------------------------------------------------------------------------+-----------+--------+
 | :ref:`sphx_glr_how_to_extend_tvm_low_level_custom_pass.py` (``low_level_custom_pass.py``) | 00:00.007 | 0.0 MB |
 +-------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/docs/_sources/how_to/extend_tvm/use_pass_instrument.rst.txt b/docs/_sources/how_to/extend_tvm/use_pass_instrument.rst.txt
index fda3ec58eb..22a72f9dcf 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: 24356us [24356us] (48.60%; 48.60%)
-    FoldScaleAxis: 25763us [7us] (51.40%; 51.40%)
-            FoldConstant: 25756us [1806us] (51.39%; 99.97%)
-                    InferType: 23950us [23950us] (47.79%; 92.99%)
+    InferType: 25331us [25331us] (48.48%; 48.48%)
+    FoldScaleAxis: 26914us [8us] (51.52%; 51.52%)
+            FoldConstant: 26906us [1846us] (51.50%; 99.97%)
+                    InferType: 25060us [25060us] (47.97%; 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: 23521us [23521us] (48.60%; 48.60%)
-    FoldScaleAxis: 24873us [5us] (51.40%; 51.40%)
-            FoldConstant: 24868us [1664us] (51.39%; 99.98%)
-                    InferType: 23204us [23204us] (47.95%; 93.31%)
+    InferType: 25260us [25260us] (48.02%; 48.02%)
+    FoldScaleAxis: 27348us [8us] (51.98%; 51.98%)
+            FoldConstant: 27339us [1901us] (51.97%; 99.97%)
+                    InferType: 25438us [25438us] (48.35%; 93.05%)
 
 
 
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 a74f05d061..9ca6721a4b 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: 53.497695 ms
+    Convolution: 53.502944 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 83afce3a75..ebe363a837 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: 12.266832 ms
+    conv2d with tensor core: 12.092211 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 5838882089..445fad10dd 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: 0.013818
-    Baseline: 3.313510
+    Numpy running time: 0.018237
+    Baseline: 3.435389
 
 
 
@@ -227,7 +227,7 @@ fill 32 * 32 * sizeof(float) which is 4KB in the cache whose total size is 32KB
 
  .. code-block:: none
 
-    Opt1: 0.289857
+    Opt1: 0.297902
 
 
 
@@ -318,7 +318,7 @@ In this tutorial, we chose to vectorize the inner loop row data since it is cach
 
  .. code-block:: none
 
-    Opt2: 0.258958
+    Opt2: 0.286532
 
 
 
@@ -406,7 +406,7 @@ the access pattern for A matrix is more cache friendly.
 
  .. code-block:: none
 
-    Opt3: 0.110938
+    Opt3: 0.118285
 
 
 
@@ -523,7 +523,7 @@ flattening.
 
  .. code-block:: none
 
-    Opt4: 0.103325
+    Opt4: 0.107668
 
 
 
@@ -635,7 +635,7 @@ write to C when all the block results are ready.
 
  .. code-block:: none
 
-    Opt5: 0.095177
+    Opt5: 0.112236
 
 
 
@@ -748,7 +748,7 @@ Furthermore, we can also utilize multi-core processors to do the thread-level pa
 
  .. code-block:: none
 
-    Opt6: 0.112953
+    Opt6: 0.133273
 
 
 
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 ae3b10cdaf..ea56236d1b 100644
--- a/docs/_sources/how_to/optimize_operators/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/optimize_operators/sg_execution_times.rst.txt
@@ -5,12 +5,12 @@
 
 Computation times
 =================
-**00:31.515** total execution time for **how_to_optimize_operators** files:
+**00:34.422** total execution time for **how_to_optimize_operators** files:
 
 +-----------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_optimize_operators_opt_gemm.py` (``opt_gemm.py``)                       | 00:28.423 | 0.0 MB |
+| :ref:`sphx_glr_how_to_optimize_operators_opt_gemm.py` (``opt_gemm.py``)                       | 00:31.173 | 0.0 MB |
 +-----------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_optimize_operators_opt_conv_tensorcore.py` (``opt_conv_tensorcore.py``) | 00:01.871 | 0.0 MB |
+| :ref:`sphx_glr_how_to_optimize_operators_opt_conv_tensorcore.py` (``opt_conv_tensorcore.py``) | 00:01.981 | 0.0 MB |
 +-----------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_optimize_operators_opt_conv_cuda.py` (``opt_conv_cuda.py``)             | 00:01.220 | 0.0 MB |
+| :ref:`sphx_glr_how_to_optimize_operators_opt_conv_cuda.py` (``opt_conv_cuda.py``)             | 00:01.268 | 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 0a844ef088..46ac3bdade 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
 =================
-**03:27.124** total execution time for **how_to_tune_with_autoscheduler** files:
+**03:37.978** 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``)             | 01:29.493 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_x86.py` (``tune_network_x86.py``)             | 01:34.455 | 0.0 MB |
 +----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_cuda.py` (``tune_network_cuda.py``)           | 01:09.698 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_cuda.py` (``tune_network_cuda.py``)           | 01:12.560 | 0.0 MB |
 +----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_arm.py` (``tune_network_arm.py``)             | 00:17.129 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_arm.py` (``tune_network_arm.py``)             | 00:18.024 | 0.0 MB |
 +----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_mali.py` (``tune_network_mali.py``)           | 00:15.729 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_conv2d_layer_cuda.py` (``tune_conv2d_layer_cuda.py``) | 00:16.528 | 0.0 MB |
 +----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_conv2d_layer_cuda.py` (``tune_conv2d_layer_cuda.py``) | 00:14.978 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_mali.py` (``tune_network_mali.py``)           | 00:16.309 | 0.0 MB |
 +----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_sparse_x86.py` (``tune_sparse_x86.py``)               | 00:00.097 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_sparse_x86.py` (``tune_sparse_x86.py``)               | 00:00.102 | 0.0 MB |
 +----------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/docs/_sources/how_to/tune_with_autoscheduler/tune_conv2d_layer_cuda.rst.txt b/docs/_sources/how_to/tune_with_autoscheduler/tune_conv2d_layer_cuda.rst.txt
index d85b3f249a..2797b93c6e 100644
--- a/docs/_sources/how_to/tune_with_autoscheduler/tune_conv2d_layer_cuda.rst.txt
+++ b/docs/_sources/how_to/tune_with_autoscheduler/tune_conv2d_layer_cuda.rst.txt
@@ -766,7 +766,7 @@ We build the binary and check its correctness and performance.
 
  .. code-block:: none
 
-    Execution time of this operator: 0.334 ms
+    Execution time of this operator: 0.335 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 9c156d9b43..c7b8a4e312 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)  
-       3.1960       3.1960       3.1964       3.1956       0.0003                  
+       3.1987       3.1984       3.1992       3.1983       0.0004                  
 
 
 
@@ -660,7 +660,7 @@ Other Tips
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  9.698 seconds)
+   **Total running time of the script:** ( 1 minutes  12.560 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 aba948fd77..91d9084ce4 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)  
-      701.1497     699.5665     705.8347     698.0478      3.3704                  
+      749.4577     750.3111     750.4418     747.6202      1.3004                  
 
 
 
@@ -682,7 +682,7 @@ Other Tips
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  29.493 seconds)
+   **Total running time of the script:** ( 1 minutes  34.455 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 ed6b965a6b..8d0fffe528 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
@@ -5,14 +5,14 @@
 
 Computation times
 =================
-**00:22.622** total execution time for **how_to_tune_with_autotvm** files:
+**00:24.093** total execution time for **how_to_tune_with_autotvm** files:
 
 +--------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_conv2d_cuda.py` (``tune_conv2d_cuda.py``)           | 00:22.586 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_conv2d_cuda.py` (``tune_conv2d_cuda.py``)           | 00:24.057 | 0.0 MB |
 +--------------------------------------------------------------------------------------------------+-----------+--------+
 | :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_x86.py` (``tune_relay_x86.py``)               | 00:00.021 | 0.0 MB |
 +--------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_cuda.py` (``tune_relay_cuda.py``)             | 00:00.005 | 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_mobile_gpu.py` (``tune_relay_mobile_gpu.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 86fb14a128..ab82c84133 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: 0.037134
+    Time cost of this operator: 0.037129
 
 
 
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 e4337e7c9b..0dc8ab4df7 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  294.4     98.723   (1, 2, 10, 10, 3)  2       1        [294.4]           
-    tvmgen_default_fused_layout_transform_1       tvmgen_default_fused_layout_transform_1       2.869     0.962    (1, 6, 10, 10)     1       1        [2.869]           
-    tvmgen_default_fused_layout_transform         tvmgen_default_fused_layout_transform         0.939     0.315    (1, 1, 10, 10, 3)  1       1        [0.939]           
-    Total_time                                    -                                             298.208   -        -                  -       -        -                 
+    tvmgen_default_fused_nn_contrib_conv2d_NCHWc  tvmgen_default_fused_nn_contrib_conv2d_NCHWc  302.6     98.701   (1, 2, 10, 10, 3)  2       1        [302.6]           
+    tvmgen_default_fused_layout_transform_1       tvmgen_default_fused_layout_transform_1       2.972     0.97     (1, 6, 10, 10)     1       1        [2.972]           
+    tvmgen_default_fused_layout_transform         tvmgen_default_fused_layout_transform         1.009     0.329    (1, 1, 10, 10, 3)  1       1        [1.009]           
+    Total_time                                    -                                             306.581   -        -                  -       -        -                 
 
 
 
@@ -428,10 +428,10 @@ Timing the tuned program
     ########## Build with Autotuning ##########
     Node Name                                     Ops                                           Time(us)  Time(%)  Shape              Inputs  Outputs  Measurements(us)  
     ---------                                     ---                                           --------  -------  -----              ------  -------  ----------------  
-    tvmgen_default_fused_nn_contrib_conv2d_NCHWc  tvmgen_default_fused_nn_contrib_conv2d_NCHWc  99.625    97.529   (1, 6, 10, 10, 1)  2       1        [99.625]          
-    tvmgen_default_fused_layout_transform_1       tvmgen_default_fused_layout_transform_1       1.703     1.667    (1, 6, 10, 10)     1       1        [1.703]           
-    tvmgen_default_fused_layout_transform         tvmgen_default_fused_layout_transform         0.821     0.804    (1, 3, 10, 10, 1)  1       1        [0.821]           
-    Total_time                                    -                                             102.149   -        -                  -       -        -                 
+    tvmgen_default_fused_nn_contrib_conv2d_NCHWc  tvmgen_default_fused_nn_contrib_conv2d_NCHWc  100.7     97.179   (1, 6, 10, 10, 1)  2       1        [100.7]           
+    tvmgen_default_fused_layout_transform_1       tvmgen_default_fused_layout_transform_1       1.811     1.747    (1, 6, 10, 10)     1       1        [1.811]           
+    tvmgen_default_fused_layout_transform         tvmgen_default_fused_layout_transform         1.112     1.073    (1, 1, 10, 10, 3)  1       1        [1.112]           
+    Total_time                                    -                                             103.623   -        -                  -       -        -                 
 
 
 
@@ -439,7 +439,7 @@ Timing the tuned program
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  22.930 seconds)
+   **Total running time of the script:** ( 1 minutes  27.129 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 4104e97aa6..d98c279278 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, 13.6MB/s]     100%|##########| 3.42M/3.42M [00:00<00:00, 21.5MB/s]
+       0%|          | 0.00/3.42M [00:00<?, ?B/s]      61%|######    | 2.09M/3.42M [00:00<00:00, 14.3MB/s]     100%|##########| 3.42M/3.42M [00:00<00:00, 22.7MB/s]
     /venv/apache-tvm-py3.8/lib/python3.8/site-packages/torch/_utils.py:314: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
       device=storage.device,
     /workspace/python/tvm/relay/frontend/pytorch_utils.py:47: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.
@@ -326,7 +326,7 @@ Look up prediction top 1 index in 1000 class synset.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  25.303 seconds)
+   **Total running time of the script:** ( 1 minutes  29.374 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 7b96ee7c8c..04f70d45c9 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/tmpvxxcw420/images/random'
+    '/tmp/tmp1g_jii1g/images/random'
 
 
 
@@ -317,8 +317,8 @@ objects to other stuff? We can display some examples from our datasets using ``m
 
  .. code-block:: none
 
-    /tmp/tmpvxxcw420/images/target contains 8144 images
-    /tmp/tmpvxxcw420/images/random contains 5000 images
+    /tmp/tmp1g_jii1g/images/target contains 8144 images
+    /tmp/tmp1g_jii1g/images/random contains 5000 images
 
 
 
@@ -493,13 +493,13 @@ the time on our validation set).
  .. code-block:: none
 
     Epoch 1/3
-    328/328 - 39s - loss: 0.2332 - accuracy: 0.9227 - val_loss: 0.1303 - val_accuracy: 0.9520 - 39s/epoch - 117ms/step
+    328/328 - 40s - loss: 0.2389 - accuracy: 0.9195 - val_loss: 0.1277 - val_accuracy: 0.9573 - 40s/epoch - 121ms/step
     Epoch 2/3
-    328/328 - 34s - loss: 0.1017 - accuracy: 0.9624 - val_loss: 0.0958 - val_accuracy: 0.9649 - 34s/epoch - 104ms/step
+    328/328 - 36s - loss: 0.0970 - accuracy: 0.9663 - val_loss: 0.1117 - val_accuracy: 0.9637 - 36s/epoch - 108ms/step
     Epoch 3/3
-    328/328 - 34s - loss: 0.0661 - accuracy: 0.9766 - val_loss: 0.0981 - val_accuracy: 0.9671 - 34s/epoch - 104ms/step
+    328/328 - 35s - loss: 0.0663 - accuracy: 0.9757 - val_loss: 0.1013 - val_accuracy: 0.9694 - 35s/epoch - 108ms/step
 
-    <keras.callbacks.History object at 0x7fd4b3472640>
+    <keras.callbacks.History object at 0x7f4f10a069a0>
 
 
 
@@ -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  49.107 seconds)
+   **Total running time of the script:** ( 4 minutes  46.643 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 865b58cf59..383d90cae9 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
 =================
-**08:04.731** total execution time for **how_to_work_with_microtvm** files:
+**08:12.432** total execution time for **how_to_work_with_microtvm** files:
 
 +-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_train.py` (``micro_train.py``)           | 04:49.107 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_train.py` (``micro_train.py``)           | 04:46.643 | 0.0 MB |
 +-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_pytorch.py` (``micro_pytorch.py``)       | 01:25.303 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_pytorch.py` (``micro_pytorch.py``)       | 01:29.374 | 0.0 MB |
 +-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_autotune.py` (``micro_autotune.py``)     | 01:22.930 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_autotune.py` (``micro_autotune.py``)     | 01:27.129 | 0.0 MB |
 +-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_aot.py` (``micro_aot.py``)               | 00:11.538 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_aot.py` (``micro_aot.py``)               | 00:12.220 | 0.0 MB |
 +-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_custom_ide.py` (``micro_custom_ide.py``) | 00:08.595 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_custom_ide.py` (``micro_custom_ide.py``) | 00:08.967 | 0.0 MB |
 +-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_tflite.py` (``micro_tflite.py``)         | 00:07.258 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_tflite.py` (``micro_tflite.py``)         | 00:08.099 | 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 c6f0fa08ec..c5324b2c9d 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
 =================
-**00:37.898** total execution time for **how_to_work_with_relay** files:
+**00:39.040** 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``) | 00:32.946 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_relay_using_pipeline_executor.py` (``using_pipeline_executor.py``) | 00:33.906 | 0.0 MB |
 +----------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_relay_using_external_lib.py` (``using_external_lib.py``)           | 00:03.121 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_relay_using_external_lib.py` (``using_external_lib.py``)           | 00:03.233 | 0.0 MB |
 +----------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_relay_build_gcn.py` (``build_gcn.py``)                             | 00:01.825 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_relay_build_gcn.py` (``build_gcn.py``)                             | 00:01.894 | 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 b15bc2701e..96f6c7eba9 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 0x7fd4cea1e9d0>
+    <function my_cuda_math_rule at 0x7f51102939d0>
 
 
 
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 8964815010..fc8e147c50 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
 =================
-**00:05.469** total execution time for **how_to_work_with_schedules** files:
+**00:05.487** total execution time for **how_to_work_with_schedules** files:
 
 +------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_intrin_math.py` (``intrin_math.py``)                 | 00:02.571 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_intrin_math.py` (``intrin_math.py``)                 | 00:02.612 | 0.0 MB |
 +------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_tensorize.py` (``tensorize.py``)                     | 00:01.174 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_tensorize.py` (``tensorize.py``)                     | 00:01.114 | 0.0 MB |
 +------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_reduction.py` (``reduction.py``)                     | 00:00.730 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_reduction.py` (``reduction.py``)                     | 00:00.739 | 0.0 MB |
 +------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_scan.py` (``scan.py``)                               | 00:00.713 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_scan.py` (``scan.py``)                               | 00:00.724 | 0.0 MB |
 +------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_extern_op.py` (``extern_op.py``)                     | 00:00.118 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_extern_op.py` (``extern_op.py``)                     | 00:00.128 | 0.0 MB |
 +------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_schedule_primitives.py` (``schedule_primitives.py``) | 00:00.069 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_schedule_primitives.py` (``schedule_primitives.py``) | 00:00.070 | 0.0 MB |
 +------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_tedd.py` (``tedd.py``)                               | 00:00.064 | 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_tuple_inputs.py` (``tuple_inputs.py``)               | 00:00.030 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_tuple_inputs.py` (``tuple_inputs.py``)               | 00:00.031 | 0.0 MB |
 +------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/docs/_sources/topic/vta/tutorials/frontend/deploy_detection.rst.txt b/docs/_sources/topic/vta/tutorials/frontend/deploy_detection.rst.txt
index 9a7836c18e..7d5b730141 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 25.33s!
+    yolov3-tiny inference graph built in 26.66s!
 
 
 
@@ -445,6 +445,11 @@ Download test image
 
 
 
+.. rst-class:: sphx-glr-timing
+
+   **Total running time of the script:** ( 1 minutes  0.411 seconds)
+
+
 .. _sphx_glr_download_topic_vta_tutorials_frontend_deploy_detection.py:
 
 .. only:: html
diff --git a/docs/_sources/topic/vta/tutorials/frontend/sg_execution_times.rst.txt b/docs/_sources/topic/vta/tutorials/frontend/sg_execution_times.rst.txt
index 25465c267d..439d1df9d5 100644
--- a/docs/_sources/topic/vta/tutorials/frontend/sg_execution_times.rst.txt
+++ b/docs/_sources/topic/vta/tutorials/frontend/sg_execution_times.rst.txt
@@ -5,8 +5,8 @@
 
 Computation times
 =================
-**00:57.919** total execution time for **topic_vta_tutorials_frontend** files:
+**01:00.411** total execution time for **topic_vta_tutorials_frontend** files:
 
 +--------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_frontend_deploy_detection.py` (``deploy_detection.py``) | 00:57.919 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_frontend_deploy_detection.py` (``deploy_detection.py``) | 01:00.411 | 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 ad060973c4..804dbf94bc 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
 =================
-**00:03.192** total execution time for **topic_vta_tutorials_optimize** files:
+**00:03.312** total execution time for **topic_vta_tutorials_optimize** files:
 
 +--------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_optimize_convolution_opt.py` (``convolution_opt.py``)         | 00:02.702 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_optimize_convolution_opt.py` (``convolution_opt.py``)         | 00:02.797 | 0.0 MB |
 +--------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_optimize_matrix_multiply_opt.py` (``matrix_multiply_opt.py``) | 00:00.490 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_optimize_matrix_multiply_opt.py` (``matrix_multiply_opt.py``) | 00:00.515 | 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 fdd510057e..454419106c 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
 =================
-**00:00.817** total execution time for **topic_vta_tutorials** files:
+**00:00.838** total execution time for **topic_vta_tutorials** files:
 
 +---------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_matrix_multiply.py` (``matrix_multiply.py``) | 00:00.424 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_matrix_multiply.py` (``matrix_multiply.py``) | 00:00.435 | 0.0 MB |
 +---------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_vta_get_started.py` (``vta_get_started.py``) | 00:00.393 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_vta_get_started.py` (``vta_get_started.py``) | 00:00.403 | 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 c2994268f1..d0775cf510 100644
--- a/docs/_sources/tutorial/auto_scheduler_matmul_x86.rst.txt
+++ b/docs/_sources/tutorial/auto_scheduler_matmul_x86.rst.txt
@@ -207,6 +207,13 @@ trials, we can load the best schedule from the log file and apply it.
 
 
 
+.. rst-class:: sphx-glr-script-out
+
+ .. code-block:: none
+
+    .T
+
+
 
 
 
@@ -318,7 +325,7 @@ We build the binary and check its correctness and performance.
 
  .. code-block:: none
 
-    Execution time of this operator: 90.564 ms
+    Execution time of this operator: 93.445 ms
 
 
 
@@ -434,7 +441,7 @@ operations.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  15.527 seconds)
+   **Total running time of the script:** ( 1 minutes  27.327 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 c135b92b76..a66b08bfa7 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: 11.83/11.83     result: MeasureResult(costs=(0.022691141800000002,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6199727058410645, timestamp=1708011917.8810415)       [('tile_y', [-1, 256]), ('tile_x', [-1, 512])],None,98
-    No: 2   GFLOPS: 10.03/11.83     result: MeasureResult(costs=(0.026763245799999995,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6931114196777344, timestamp=1708011918.5738919)       [('tile_y', [-1, 4]), ('tile_x', [-1, 4])],None,22
-    No: 3   GFLOPS: 10.16/11.83     result: MeasureResult(costs=(0.026412748599999997,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7376604080200195, timestamp=1708011919.2599878)       [('tile_y', [-1, 512]), ('tile_x', [-1, 128])],None,79
-    No: 4   GFLOPS: 8.76/11.83      result: MeasureResult(costs=(0.0306544982,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7452092170715332, timestamp=1708011920.0208437)       [('tile_y', [-1, 1]), ('tile_x', [-1, 8])],None,30
-    No: 5   GFLOPS: 1.40/11.83      result: MeasureResult(costs=(0.1923943968,), error_no=MeasureErrorNo.NO_ERROR, all_cost=3.3096492290496826, timestamp=1708011923.5289671)       [('tile_y', [-1, 2]), ('tile_x', [-1, 1])],None,1
-    No: 6   GFLOPS: 9.17/11.83      result: MeasureResult(costs=(0.029269668999999998,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.710364818572998, timestamp=1708011924.2544389)        [('tile_y', [-1, 1]), ('tile_x', [-1, 32])],None,50
-    No: 7   GFLOPS: 14.41/14.41     result: MeasureResult(costs=(0.018628427,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.5510485172271729, timestamp=1708011924.8063998)        [('tile_y', [-1, 16]), ('tile_x', [-1, 32])],None,54
-    No: 8   GFLOPS: 12.25/14.41     result: MeasureResult(costs=(0.0219187654,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.665583610534668, timestamp=1708011925.411672) [('tile_y', [-1, 64]), ('tile_x', [-1, 32])],None,56
-    No: 9   GFLOPS: 9.09/14.41      result: MeasureResult(costs=(0.029538170000000002,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6980679035186768, timestamp=1708011926.2184541)       [('tile_y', [-1, 2]), ('tile_x', [-1, 16])],None,41
-    No: 10  GFLOPS: 1.06/14.41      result: MeasureResult(costs=(0.25395357939999996,), error_no=MeasureErrorNo.NO_ERROR, all_cost=4.2798850536346436, timestamp=1708011930.5383048)        [('tile_y', [-1, 256]), ('tile_x', [-1, 2])],None,18
+    No: 1   GFLOPS: 14.74/14.74     result: MeasureResult(costs=(0.018216801,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.8373415470123291, timestamp=1708018106.7612963)        [('tile_y', [-1, 64]), ('tile_x', [-1, 64])],None,66
+    No: 2   GFLOPS: 11.92/14.74     result: MeasureResult(costs=(0.0225185756,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6646237373352051, timestamp=1708018107.3830678)       [('tile_y', [-1, 16]), ('tile_x', [-1, 512])],None,94
+    No: 3   GFLOPS: 11.32/14.74     result: MeasureResult(costs=(0.0237115372,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6489806175231934, timestamp=1708018108.0185149)       [('tile_y', [-1, 256]), ('tile_x', [-1, 32])],None,58
+    No: 4   GFLOPS: 2.01/14.74      result: MeasureResult(costs=(0.133230936,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.385519027709961, timestamp=1708018110.4081588) [('tile_y', [-1, 64]), ('tile_x', [-1, 4])],None,26
+    No: 5   GFLOPS: 1.85/14.74      result: MeasureResult(costs=(0.14543748439999998,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.5899622440338135, timestamp=1708018113.1474645)        [('tile_y', [-1, 8]), ('tile_x', [-1, 1])],None,3
+    No: 6   GFLOPS: 7.23/14.74      result: MeasureResult(costs=(0.0371146016,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.8548178672790527, timestamp=1708018114.0004404)       [('tile_y', [-1, 512]), ('tile_x', [-1, 16])],None,49
+    No: 7   GFLOPS: 7.26/14.74      result: MeasureResult(costs=(0.0369837566,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.8821573257446289, timestamp=1708018114.84633) [('tile_y', [-1, 64]), ('tile_x', [-1, 16])],None,46
+    No: 8   GFLOPS: 3.23/14.74      result: MeasureResult(costs=(0.08321260579999999,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.5822629928588867, timestamp=1708018116.4383159)        [('tile_y', [-1, 2]), ('tile_x', [-1, 2])],None,11
+    No: 9   GFLOPS: 3.98/14.74      result: MeasureResult(costs=(0.0674249542,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.3094425201416016, timestamp=1708018117.9055886)       [('tile_y', [-1, 8]), ('tile_x', [-1, 2])],None,13
+    No: 10  GFLOPS: 9.34/14.74      result: MeasureResult(costs=(0.028729216600000003,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7312347888946533, timestamp=1708018118.6198623)       [('tile_y', [-1, 1]), ('tile_x', [-1, 64])],None,60
 
 
 
diff --git a/docs/_sources/tutorial/autotvm_relay_x86.rst.txt b/docs/_sources/tutorial/autotvm_relay_x86.rst.txt
index 730adf9b76..9d72354179 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': 467.02020688007906, 'median': 466.2648031999197, 'std': 1.6591059255929859}
+    {'mean': 494.0246263099107, 'median': 493.60434474983776, 'std': 2.8954121909656414}
 
 
 
@@ -582,30 +582,30 @@ the tuning data to.
 
  .. code-block:: none
 
-     [Task  1/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  1/25]  Current/Best:   14.48/  22.81 GFLOPS | Progress: (4/20) | 7.93 s     [Task  1/25]  Current/Best:   11.61/  22.81 GFLOPS | Progress: (8/20) | 10.29 s     [Task  1/25]  Current/Best:   16.27/  22.81 GFLOPS | Progress: (12/20) | 12.77 s     [Task  1/25]  Current/Best:    7.66/  22.81 GFLOPS | Progress: (16/20) | 15.88 s     [Task  1/25]  Current/Best:   23.69/  23.69 GFLOPS | Progress: (20/20) | 18.97 s Done.
-     [Task  2/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  2/25]  Current/Best:   22.43/  22.43 GFLOPS | Progress: (4/20) | 4.09 s     [Task  2/25]  Current/Best:   18.32/  22.43 GFLOPS | Progress: (8/20) | 5.87 s     [Task  2/25]  Current/Best:   10.74/  22.65 GFLOPS | Progress: (12/20) | 8.25 s     [Task  2/25]  Current/Best:   20.38/  22.65 GFLOPS | Progress: (16/20) | 9.66 s     [Task  2/25]  Current/Best:    6.73/  22.65 GFLOPS | Progress: (20/20) | 11.02 s Done.
-     [Task  3/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  3/25]  Current/Best:   17.26/  20.65 GFLOPS | Progress: (4/20) | 4.78 s     [Task  3/25]  Current/Best:   24.20/  24.20 GFLOPS | Progress: (8/20) | 7.10 s     [Task  3/25]  Current/Best:   20.21/  24.20 GFLOPS | Progress: (12/20) | 9.07 s     [Task  3/25]  Current/Best:    6.24/  24.20 GFLOPS | Progress: (16/20) | 11.79 s     [Task  3/25]  Current/Best:   17.33/  24.20 GFLOPS | Progress: (20/20) | 14.14 s Done.
-     [Task  4/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  4/25]  Current/Best:    6.66/  14.04 GFLOPS | Progress: (4/20) | 4.87 s     [Task  4/25]  Current/Best:   13.58/  16.75 GFLOPS | Progress: (8/20) | 7.43 s     [Task  4/25]  Current/Best:   13.70/  17.42 GFLOPS | Progress: (12/20) | 9.75 s     [Task  4/25]  Current/Best:    5.45/  17.42 GFLOPS | Progress: (16/20) | 12.68 s     [Task  4/25]  Current/Best:   21.45/  21.45 GFLOPS | Progress: (20/20) | 14.86 s Done.
-     [Task  5/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  5/25]  Current/Best:    5.05/  16.37 GFLOPS | Progress: (4/20) | 4.60 s     [Task  5/25]  Current/Best:   18.66/  18.66 GFLOPS | Progress: (8/20) | 6.67 s     [Task  5/25]  Current/Best:    3.12/  18.66 GFLOPS | Progress: (12/20) | 9.34 s     [Task  5/25]  Current/Best:    4.43/  20.34 GFLOPS | Progress: (16/20) | 11.24 s     [Task  5/25]  Current/Best:    5.85/  20.34 GFLOPS | Progress: (20/20) | 13.30 s Done.
-     [Task  6/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  6/25]  Current/Best:   12.96/  18.00 GFLOPS | Progress: (4/20) | 4.38 s     [Task  6/25]  Current/Best:   15.53/  18.23 GFLOPS | Progress: (8/20) | 6.74 s     [Task  6/25]  Current/Best:   10.12/  18.92 GFLOPS | Progress: (12/20) | 9.92 s     [Task  6/25]  Current/Best:   10.62/  18.92 GFLOPS | Progress: (16/20) | 13.43 s     [Task  6/25]  Current/Best:   15.26/  18.92 GFLOPS | Progress: (20/20) | 16.18 s Done.
-     [Task  7/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  7/25]  Current/Best:   10.08/  18.90 GFLOPS | Progress: (4/20) | 5.70 s     [Task  7/25]  Current/Best:   17.90/  18.90 GFLOPS | Progress: (8/20) | 8.12 s     [Task  7/25]  Current/Best:   10.48/  18.90 GFLOPS | Progress: (12/20) | 10.61 s     [Task  7/25]  Current/Best:   15.08/  18.90 GFLOPS | Progress: (16/20) | 14.33 s     [Task  7/25]  Current/Best:   20.70/  20.70 GFLOPS | Progress: (20/20) | 16.83 s Done.
-     [Task  8/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  8/25]  Current/Best:   15.08/  15.08 GFLOPS | Progress: (4/20) | 4.76 s     [Task  8/25]  Current/Best:   11.55/  15.08 GFLOPS | Progress: (8/20) | 8.70 s     [Task  8/25]  Current/Best:   13.43/  16.64 GFLOPS | Progress: (12/20) | 11.64 s     [Task  8/25]  Current/Best:   12.91/  16.64 GFLOPS | Progress: (16/20) | 18.36 s     [Task  8/25]  Current/Best:   15.15/  16.64 GFLOPS | Progress: (20/20) | 20.98 s Done.
-     [Task  9/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  9/25]  Current/Best:   17.34/  17.34 GFLOPS | Progress: (4/20) | 8.46 s     [Task  9/25]  Current/Best:   14.24/  17.45 GFLOPS | Progress: (8/20) | 10.86 s     [Task  9/25]  Current/Best:    8.95/  18.96 GFLOPS | Progress: (12/20) | 13.61 s     [Task  9/25]  Current/Best:   19.76/  19.76 GFLOPS | Progress: (16/20) | 24.66 s     [Task  9/25]  Current/Best:    6.61/  19.76 GFLOPS | Progress: (20/20) | 27.69 s     [Task 10/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 10/25]  Current/Best:   13.05/  15.74 GFLOPS | Progress: (4/20) | 4.58 s     [Task 10/25]  Current/Best:   18.46/  18.46 GFLOPS | Progress: (8/20) | 7.05 s     [Task 10/25]  Current/Best:   18.56/  18.56 GFLOPS | Progress: (12/20) | 8.90 s     [Task 10/25]  Current/Best:   16.70/  18.56 GFLOPS | Progress: (16/20) | 11.02 s     [Task 10/25]  Current/Best:   16.46/  18.56 GFLOPS | Progress: (20/20
 ) | 14.82 s Done.
-     [Task 11/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 11/25]  Current/Best:    3.23/  24.71 GFLOPS | Progress: (4/20) | 5.15 s     [Task 11/25]  Current/Best:    6.30/  24.99 GFLOPS | Progress: (8/20) | 7.19 s     [Task 11/25]  Current/Best:   15.60/  24.99 GFLOPS | Progress: (12/20) | 9.15 s     [Task 11/25]  Current/Best:   13.20/  24.99 GFLOPS | Progress: (16/20) | 11.89 s     [Task 11/25]  Current/Best:   24.48/  24.99 GFLOPS | Progress: (20/20) | 13.88 s Done.
-     [Task 12/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 12/25]  Current/Best:    3.73/  18.70 GFLOPS | Progress: (4/20) | 4.84 s     [Task 12/25]  Current/Best:   16.81/  18.70 GFLOPS | Progress: (8/20) | 10.24 s     [Task 12/25]  Current/Best:    4.30/  18.70 GFLOPS | Progress: (12/20) | 14.55 s     [Task 12/25]  Current/Best:   12.84/  18.70 GFLOPS | Progress: (16/20) | 20.30 s     [Task 12/25]  Current/Best:   17.59/  18.70 GFLOPS | Progress: (20/20) | 23.77 s Done.
-     [Task 13/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 13/25]  Current/Best:   16.44/  20.41 GFLOPS | Progress: (4/20) | 4.64 s     [Task 13/25]  Current/Best:    7.91/  20.41 GFLOPS | Progress: (8/20) | 9.33 s     [Task 13/25]  Current/Best:   13.32/  20.41 GFLOPS | Progress: (12/20) | 13.13 s     [Task 13/25]  Current/Best:    8.34/  22.24 GFLOPS | Progress: (16/20) | 16.38 s     [Task 13/25]  Current/Best:   16.18/  22.24 GFLOPS | Progress: (20/20) | 18.60 s Done.
-     [Task 14/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 14/25]  Current/Best:   13.96/  20.30 GFLOPS | Progress: (4/20) | 9.32 s     [Task 14/25]  Current/Best:    5.93/  20.30 GFLOPS | Progress: (8/20) | 15.78 s     [Task 14/25]  Current/Best:   10.14/  20.30 GFLOPS | Progress: (12/20) | 24.23 s     [Task 14/25]  Current/Best:   10.11/  20.30 GFLOPS | Progress: (16/20) | 30.68 s     [Task 14/25]  Current/Best:   18.80/  20.30 GFLOPS | Progress: (20/20) | 32.90 s Done.
-     [Task 15/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 15/25]  Current/Best:    9.21/  17.71 GFLOPS | Progress: (4/20) | 6.11 s     [Task 15/25]  Current/Best:   12.66/  19.27 GFLOPS | Progress: (8/20) | 10.15 s     [Task 15/25]  Current/Best:   12.53/  19.59 GFLOPS | Progress: (12/20) | 13.23 s     [Task 15/25]  Current/Best:    7.34/  22.61 GFLOPS | Progress: (16/20) | 14.81 s     [Task 15/25]  Current/Best:   17.36/  22.61 GFLOPS | Progress: (20/20) | 16.74 s Done.
-     [Task 16/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 16/25]  Current/Best:   11.05/  20.11 GFLOPS | Progress: (4/20) | 5.34 s     [Task 16/25]  Current/Best:   10.93/  20.11 GFLOPS | Progress: (8/20) | 7.51 s     [Task 16/25]  Current/Best:   11.42/  20.11 GFLOPS | Progress: (12/20) | 10.65 s     [Task 16/25]  Current/Best:   12.34/  20.11 GFLOPS | Progress: (16/20) | 12.92 s     [Task 16/25]  Current/Best:   21.03/  21.03 GFLOPS | Progress: (20/20) | 14.48 s Done.
-     [Task 17/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 17/25]  Current/Best:   20.70/  20.70 GFLOPS | Progress: (4/20) | 4.53 s     [Task 17/25]  Current/Best:    3.19/  20.70 GFLOPS | Progress: (8/20) | 7.91 s     [Task 17/25]  Current/Best:   12.70/  20.70 GFLOPS | Progress: (12/20) | 10.53 s     [Task 17/25]  Current/Best:   20.69/  21.23 GFLOPS | Progress: (16/20) | 14.12 s     [Task 17/25]  Current/Best:   21.72/  21.72 GFLOPS | Progress: (20/20) | 16.36 s Done.
-     [Task 18/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 18/25]  Current/Best:   14.43/  15.41 GFLOPS | Progress: (4/20) | 5.08 s     [Task 18/25]  Current/Best:   13.19/  17.61 GFLOPS | Progress: (8/20) | 7.55 s     [Task 18/25]  Current/Best:   17.91/  18.34 GFLOPS | Progress: (12/20) | 11.29 s     [Task 18/25]  Current/Best:   21.16/  21.16 GFLOPS | Progress: (16/20) | 14.75 s     [Task 18/25]  Current/Best:    5.68/  21.16 GFLOPS | Progress: (20/20) | 16.88 s Done.
-     [Task 19/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 19/25]  Current/Best:    9.18/  18.42 GFLOPS | Progress: (4/20) | 6.49 s     [Task 19/25]  Current/Best:   18.55/  18.75 GFLOPS | Progress: (8/20) | 9.94 s     [Task 19/25]  Current/Best:   10.68/  19.33 GFLOPS | Progress: (12/20) | 13.63 s     [Task 19/25]  Current/Best:   10.93/  21.17 GFLOPS | Progress: (16/20) | 17.39 s     [Task 19/25]  Current/Best:    6.37/  21.17 GFLOPS | Progress: (20/20) | 20.79 s Done.
-     [Task 20/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 20/25]  Current/Best:   16.42/  16.42 GFLOPS | Progress: (4/20) | 14.19 s     [Task 20/25]  Current/Best:   18.12/  18.12 GFLOPS | Progress: (8/20) | 18.40 s     [Task 20/25]  Current/Best:   18.82/  19.52 GFLOPS | Progress: (12/20) | 20.40 s     [Task 20/25]  Current/Best:   18.82/  19.52 GFLOPS | Progress: (16/20) | 29.10 s     [Task 20/25]  Current/Best:   10.78/  19.52 GFLOPS | Progress: (20/20) | 31.96 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:   20.36/  20.59 GFLOPS | Progress: (4/20) | 8.20 s     [Task  1/25]  Current/Best:    9.51/  22.76 GFLOPS | Progress: (8/20) | 10.69 s     [Task  1/25]  Current/Best:   21.04/  22.76 GFLOPS | Progress: (12/20) | 12.95 s     [Task  1/25]  Current/Best:   12.33/  23.09 GFLOPS | Progress: (16/20) | 15.74 s     [Task  1/25]  Current/Best:    8.76/  23.09 GFLOPS | Progress: (20/20) | 19.60 s Done.
+     [Task  2/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  2/25]  Current/Best:   14.75/  15.68 GFLOPS | Progress: (4/20) | 4.32 s     [Task  2/25]  Current/Best:   13.46/  19.73 GFLOPS | Progress: (8/20) | 5.95 s     [Task  2/25]  Current/Best:   17.64/  19.73 GFLOPS | Progress: (12/20) | 7.45 s     [Task  2/25]  Current/Best:   14.63/  19.73 GFLOPS | Progress: (16/20) | 9.01 s     [Task  2/25]  Current/Best:    3.83/  19.73 GFLOPS | Progress: (20/20) | 10.58 s Done.
+     [Task  3/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  3/25]  Current/Best:    7.21/  19.98 GFLOPS | Progress: (4/20) | 4.99 s     [Task  3/25]  Current/Best:   23.54/  23.54 GFLOPS | Progress: (8/20) | 7.16 s     [Task  3/25]  Current/Best:    9.53/  23.54 GFLOPS | Progress: (12/20) | 9.18 s     [Task  3/25]  Current/Best:   22.99/  23.54 GFLOPS | Progress: (16/20) | 11.57 s     [Task  3/25]  Current/Best:    8.15/  23.54 GFLOPS | Progress: (20/20) | 14.12 s Done.
+     [Task  4/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  4/25]  Current/Best:   14.57/  16.76 GFLOPS | Progress: (4/20) | 4.40 s     [Task  4/25]  Current/Best:    8.18/  20.23 GFLOPS | Progress: (8/20) | 6.28 s     [Task  4/25]  Current/Best:   21.23/  21.23 GFLOPS | Progress: (12/20) | 8.34 s     [Task  4/25]  Current/Best:   12.34/  21.23 GFLOPS | Progress: (16/20) | 10.87 s     [Task  4/25]  Current/Best:   12.53/  21.23 GFLOPS | Progress: (20/20) | 13.74 s Done.
+     [Task  5/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  5/25]  Current/Best:   15.37/  15.37 GFLOPS | Progress: (4/20) | 4.54 s     [Task  5/25]  Current/Best:   12.14/  22.54 GFLOPS | Progress: (8/20) | 6.55 s     [Task  5/25]  Current/Best:   14.10/  22.54 GFLOPS | Progress: (12/20) | 8.80 s     [Task  5/25]  Current/Best:   18.53/  22.54 GFLOPS | Progress: (16/20) | 10.99 s     [Task  5/25]  Current/Best:   19.10/  22.54 GFLOPS | Progress: (20/20) | 12.75 s Done.
+     [Task  6/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  6/25]  Current/Best:    6.27/  12.99 GFLOPS | Progress: (4/20) | 5.15 s     [Task  6/25]  Current/Best:    2.91/  12.99 GFLOPS | Progress: (8/20) | 8.96 s     [Task  6/25]  Current/Best:   12.35/  13.58 GFLOPS | Progress: (12/20) | 13.98 s     [Task  6/25]  Current/Best:   18.07/  18.07 GFLOPS | Progress: (16/20) | 16.62 s     [Task  6/25]  Current/Best:    9.64/  18.07 GFLOPS | Progress: (20/20) | 18.80 s Done.
+     [Task  7/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  7/25]  Current/Best:   12.28/  18.77 GFLOPS | Progress: (4/20) | 5.46 s     [Task  7/25]  Current/Best:   21.40/  21.40 GFLOPS | Progress: (8/20) | 7.68 s     [Task  7/25]  Current/Best:   13.83/  21.40 GFLOPS | Progress: (12/20) | 10.22 s     [Task  7/25]  Current/Best:   13.59/  21.40 GFLOPS | Progress: (16/20) | 13.13 s     [Task  7/25]  Current/Best:    3.14/  21.40 GFLOPS | Progress: (20/20) | 15.95 s Done.
+     [Task  8/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  8/25]  Current/Best:   11.07/  16.71 GFLOPS | Progress: (4/20) | 6.20 s     [Task  8/25]  Current/Best:   12.78/  16.71 GFLOPS | Progress: (8/20) | 9.05 s     [Task  8/25]  Current/Best:   14.86/  20.76 GFLOPS | Progress: (12/20) | 11.73 s     [Task  8/25]  Current/Best:   11.19/  20.76 GFLOPS | Progress: (16/20) | 17.94 s     [Task  8/25]  Current/Best:    8.30/  20.76 GFLOPS | Progress: (20/20) | 20.86 s Done.
+     [Task  9/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task  9/25]  Current/Best:   20.39/  20.39 GFLOPS | Progress: (4/20) | 6.35 s     [Task  9/25]  Current/Best:   19.36/  20.39 GFLOPS | Progress: (8/20) | 8.35 s     [Task  9/25]  Current/Best:   13.34/  20.39 GFLOPS | Progress: (12/20) | 13.95 s     [Task  9/25]  Current/Best:   13.36/  20.39 GFLOPS | Progress: (16/20) | 16.87 s     [Task  9/25]  Current/Best:   20.50/  20.50 GFLOPS | Progress: (20/20) | 18.66 s Done.
+     [Task 10/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 10/25]  Current/Best:   17.74/  17.82 GFLOPS | Progress: (4/20) | 5.37 s     [Task 10/25]  Current/Best:    9.52/  21.09 GFLOPS | Progress: (8/20) | 7.06 s     [Task 10/25]  Current/Best:    7.07/  21.09 GFLOPS | Progress: (12/20) | 8.97 s     [Task 10/25]  Current/Best:   11.01/  21.09 GFLOPS | Progress: (16/20) | 10.77 s     [Task 10/25]  Current/Best:   14.45/  21.09 GFLOPS | Progress: (20/20) | 12.82 s Done.
+     [Task 11/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 11/25]  Current/Best:   19.77/  19.77 GFLOPS | Progress: (4/20) | 4.88 s     [Task 11/25]  Current/Best:   12.77/  19.77 GFLOPS | Progress: (8/20) | 7.43 s     [Task 11/25]  Current/Best:   20.66/  20.66 GFLOPS | Progress: (12/20) | 10.14 s     [Task 11/25]  Current/Best:   17.07/  23.79 GFLOPS | Progress: (16/20) | 12.39 s     [Task 11/25]  Current/Best:    6.24/  23.79 GFLOPS | Progress: (20/20) | 15.44 s Done.
+     [Task 12/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 12/25]  Current/Best:   16.25/  18.20 GFLOPS | Progress: (4/20) | 4.63 s     [Task 12/25]  Current/Best:    4.01/  18.20 GFLOPS | Progress: (8/20) | 7.25 s     [Task 12/25]  Current/Best:   13.14/  18.62 GFLOPS | Progress: (12/20) | 9.81 s     [Task 12/25]  Current/Best:   11.55/  18.62 GFLOPS | Progress: (16/20) | 12.88 s     [Task 12/25]  Current/Best:   12.32/  18.62 GFLOPS | Progress: (20/20) | 15.09 s Done.
+     [Task 13/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 13/25]  Current/Best:   18.88/  18.88 GFLOPS | Progress: (4/20) | 5.18 s     [Task 13/25]  Current/Best:    7.40/  18.88 GFLOPS | Progress: (8/20) | 8.16 s     [Task 13/25]  Current/Best:   11.76/  18.88 GFLOPS | Progress: (12/20) | 11.96 s     [Task 13/25]  Current/Best:   12.15/  20.10 GFLOPS | Progress: (16/20) | 15.72 s     [Task 13/25]  Current/Best:    7.60/  20.10 GFLOPS | Progress: (20/20) | 19.30 s Done.
+     [Task 14/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 14/25]  Current/Best:   11.32/  15.15 GFLOPS | Progress: (4/20) | 6.35 s     [Task 14/25]  Current/Best:    3.36/  15.15 GFLOPS | Progress: (8/20) | 10.23 s     [Task 14/25]  Current/Best:   10.37/  15.15 GFLOPS | Progress: (12/20) | 21.88 s     [Task 14/25]  Current/Best:    7.99/  15.15 GFLOPS | Progress: (16/20) | 29.65 s     [Task 14/25]  Current/Best:   12.45/  15.15 GFLOPS | Progress: (20/20) | 32.62 s     [Task 15/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 15/25]  Current/Best:    7.40/  18.25 GFLOPS | Progress: (4/20) | 5.81 s     [Task 15/25]  Current/Best:   13.53/  18.25 GFLOPS | Progress: (8/20) | 8.22 s     [Task 15/25]  Current/Best:    8.77/  18.25 GFLOPS | Progress: (12/20) | 15.06 s     [Task 15/25]  Current/Best:    7.70/  18.25 GFLOPS | Progress: (16/20) | 26.25 s     [Task 15/25]  Current/Best:   12.77/  18.27 GFLOPS | Progress: (20/2
 0) | 29.42 s     [Task 16/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 16/25]  Current/Best:   14.82/  16.40 GFLOPS | Progress: (4/20) | 4.52 s     [Task 16/25]  Current/Best:   18.37/  18.37 GFLOPS | Progress: (8/20) | 6.23 s     [Task 16/25]  Current/Best:   15.53/  18.37 GFLOPS | Progress: (12/20) | 8.26 s     [Task 16/25]  Current/Best:   23.01/  23.01 GFLOPS | Progress: (16/20) | 10.60 s     [Task 16/25]  Current/Best:   14.04/  23.01 GFLOPS | Progress: (20/20) | 12.77 s Done.
+     [Task 17/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 17/25]  Current/Best:   11.55/  22.05 GFLOPS | Progress: (4/20) | 6.30 s     [Task 17/25]  Current/Best:   11.35/  22.05 GFLOPS | Progress: (8/20) | 9.63 s     [Task 17/25]  Current/Best:   10.23/  22.05 GFLOPS | Progress: (12/20) | 13.12 s     [Task 17/25]  Current/Best:    9.68/  22.05 GFLOPS | Progress: (16/20) | 16.78 s     [Task 17/25]  Current/Best:    9.35/  22.05 GFLOPS | Progress: (20/20) | 19.49 s Done.
+     [Task 18/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 18/25]  Current/Best:   13.03/  18.12 GFLOPS | Progress: (4/20) | 4.55 s Done.
      Done.
-     [Task 21/25]  Current/Best:   15.19/  15.19 GFLOPS | Progress: (4/20) | 13.68 s     [Task 21/25]  Current/Best:    7.18/  15.19 GFLOPS | Progress: (8/20) | 25.02 s     [Task 21/25]  Current/Best:   11.54/  19.03 GFLOPS | Progress: (12/20) | 36.12 s     [Task 21/25]  Current/Best:    9.05/  22.56 GFLOPS | Progress: (16/20) | 39.55 s     [Task 21/25]  Current/Best:    9.84/  22.56 GFLOPS | Progress: (20/20) | 50.83 s     [Task 22/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 22/25]  Current/Best:   11.85/  19.94 GFLOPS | Progress: (4/20) | 5.38 s     [Task 22/25]  Current/Best:    2.75/  19.94 GFLOPS | Progress: (8/20) | 7.79 s     [Task 22/25]  Current/Best:    2.78/  19.94 GFLOPS | Progress: (12/20) | 9.94 s     [Task 22/25]  Current/Best:   12.87/  19.94 GFLOPS | Progress: (16/20) | 12.86 s     [Task 22/25]  Current/Best:   19.26/  21.99 GFLOPS | Progress: (20/20) | 14.44 s Done.
-     [Task 23/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 23/25]  Current/Best:   10.31/  20.87 GFLOPS | Progress: (4/20) | 5.63 s     [Task 23/25]  Current/Best:   18.35/  20.87 GFLOPS | Progress: (8/20) | 7.97 s     [Task 23/25]  Current/Best:   15.42/  24.13 GFLOPS | Progress: (12/20) | 10.71 s     [Task 23/25]  Current/Best:    9.34/  24.13 GFLOPS | Progress: (16/20) | 14.56 s     [Task 23/25]  Current/Best:    3.17/  24.13 GFLOPS | Progress: (20/20) | 22.12 s Done.
-     [Task 24/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 24/25]  Current/Best:    8.58/   8.58 GFLOPS | Progress: (4/20) | 13.46 s     [Task 24/25]  Current/Best:    2.66/   8.58 GFLOPS | Progress: (8/20) | 24.51 s     [Task 24/25]  Current/Best:   10.11/  10.11 GFLOPS | Progress: (12/20) | 29.63 s     [Task 24/25]  Current/Best:    2.97/  10.11 GFLOPS | Progress: (16/20) | 40.62 s     [Task 24/25]  Current/Best:    0.94/  10.11 GFLOPS | Progress: (20/20) | 52.82 s Done.
-     [Task 25/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 25/25]  Current/Best:    9.55/  10.01 GFLOPS | Progress: (4/20) | 8.21 s     [Task 25/25]  Current/Best:    2.88/  10.01 GFLOPS | Progress: (8/20) | 19.18 s     [Task 25/25]  Current/Best:    2.80/  10.01 GFLOPS | Progress: (12/20) | 23.44 s     [Task 25/25]  Current/Best:    1.52/  10.14 GFLOPS | Progress: (16/20) | 25.46 s     [Task 25/25]  Current/Best:    6.06/  10.14 GFLOPS | Progress: (20/20) | 30.03 s
+     [Task 18/25]  Current/Best:   19.78/  19.78 GFLOPS | Progress: (8/20) | 6.94 s     [Task 18/25]  Current/Best:   20.72/  20.72 GFLOPS | Progress: (12/20) | 10.47 s     [Task 18/25]  Current/Best:    9.58/  20.72 GFLOPS | Progress: (16/20) | 14.64 s     [Task 18/25]  Current/Best:   15.29/  20.72 GFLOPS | Progress: (20/20) | 16.83 s Done.
+     [Task 19/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 19/25]  Current/Best:   13.26/  21.53 GFLOPS | Progress: (4/20) | 5.15 s     [Task 19/25]  Current/Best:   19.00/  21.53 GFLOPS | Progress: (8/20) | 7.35 s     [Task 19/25]  Current/Best:    3.08/  21.53 GFLOPS | Progress: (12/20) | 12.76 s     [Task 19/25]  Current/Best:    6.69/  21.53 GFLOPS | Progress: (16/20) | 20.32 s     [Task 19/25]  Current/Best:   22.00/  22.00 GFLOPS | Progress: (20/20) | 23.29 s Done.
+     [Task 20/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 20/25]  Current/Best:    7.41/  13.78 GFLOPS | Progress: (4/20) | 6.83 s     [Task 20/25]  Current/Best:    7.36/  13.78 GFLOPS | Progress: (8/20) | 12.55 s     [Task 20/25]  Current/Best:   21.57/  21.57 GFLOPS | Progress: (12/20) | 18.90 s     [Task 20/25]  Current/Best:   11.86/  21.57 GFLOPS | Progress: (16/20) | 22.74 s     [Task 20/25]  Current/Best:   12.77/  21.57 GFLOPS | Progress: (20/20) | 27.70 s Done.
+     [Task 21/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 21/25]  Current/Best:   21.99/  21.99 GFLOPS | Progress: (4/20) | 4.48 s     [Task 21/25]  Current/Best:    8.96/  21.99 GFLOPS | Progress: (8/20) | 9.51 s     [Task 21/25]  Current/Best:    7.33/  21.99 GFLOPS | Progress: (12/20) | 14.05 s     [Task 21/25]  Current/Best:   12.17/  21.99 GFLOPS | Progress: (16/20) | 25.43 s     [Task 21/25]  Current/Best:    7.30/  21.99 GFLOPS | Progress: (20/20) | 30.04 s Done.
+     [Task 22/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 22/25]  Current/Best:   17.35/  17.35 GFLOPS | Progress: (4/20) | 4.34 s     [Task 22/25]  Current/Best:    6.59/  17.35 GFLOPS | Progress: (8/20) | 6.49 s     [Task 22/25]  Current/Best:    9.40/  20.57 GFLOPS | Progress: (12/20) | 9.11 s     [Task 22/25]  Current/Best:   20.43/  20.57 GFLOPS | Progress: (16/20) | 11.77 s     [Task 22/25]  Current/Best:    6.64/  20.57 GFLOPS | Progress: (20/20) | 14.91 s Done.
+     [Task 23/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 23/25]  Current/Best:   12.66/  21.06 GFLOPS | Progress: (4/20) | 5.23 s     [Task 23/25]  Current/Best:    2.70/  21.06 GFLOPS | Progress: (8/20) | 9.07 s     [Task 23/25]  Current/Best:    9.63/  23.77 GFLOPS | Progress: (12/20) | 13.86 s     [Task 23/25]  Current/Best:   17.11/  23.77 GFLOPS | Progress: (16/20) | 18.94 s     [Task 23/25]  Current/Best:    8.38/  23.77 GFLOPS | Progress: (20/20) | 21.56 s Done.
+     [Task 24/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 24/25]  Current/Best:    4.30/   4.30 GFLOPS | Progress: (4/20) | 7.89 s     [Task 24/25]  Current/Best:    5.16/   7.39 GFLOPS | Progress: (8/20) | 11.32 s     [Task 24/25]  Current/Best:    7.18/   7.39 GFLOPS | Progress: (12/20) | 22.32 s     [Task 24/25]  Current/Best:    3.63/   7.39 GFLOPS | Progress: (16/20) | 25.91 s     [Task 24/25]  Current/Best:    5.07/   7.39 GFLOPS | Progress: (20/20) | 36.61 s     [Task 25/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s     [Task 25/25]  Current/Best:    7.75/   8.51 GFLOPS | Progress: (4/20) | 6.77 s     [Task 25/25]  Current/Best:    5.84/   8.51 GFLOPS | Progress: (8/20) | 8.24 s     [Task 25/25]  Current/Best:    9.28/   9.28 GFLOPS | Progress: (12/20) | 19.19 s     [Task 25/25]  Current/Best:    5.91/   9.28 GFLOPS | Progress: (16/20) | 27.07 s     [Task 25/25]  Current/Best:    1.52/   9.28 GFLOPS | Progress: (20/2
 0) | 29.02 s
 
 
 
@@ -674,6 +674,7 @@ model using optimized operators to speed up our computations.
  .. code-block:: none
 
      Done.
+     Done.
 
 
 
@@ -707,8 +708,8 @@ Verify that the optimized model runs and produces the same results:
 
  .. code-block:: none
 
-    class='n02123045 tabby, tabby cat' with probability=0.621105
-    class='n02123159 tiger cat' with probability=0.356378
+    class='n02123045 tabby, tabby cat' with probability=0.621103
+    class='n02123159 tiger cat' with probability=0.356379
     class='n02124075 Egyptian cat' with probability=0.019712
     class='n02129604 tiger, Panthera tigris' with probability=0.001215
     class='n04040759 radiator' with probability=0.000262
@@ -765,8 +766,8 @@ improvement in comparing the optimized model to the unoptimized model.
 
  .. code-block:: none
 
-    optimized: {'mean': 392.4014270400221, 'median': 392.0195533499282, 'std': 1.9212977182785338}
-    unoptimized: {'mean': 467.02020688007906, 'median': 466.2648031999197, 'std': 1.6591059255929859}
+    optimized: {'mean': 411.5034716900118, 'median': 411.0886490499979, 'std': 2.7702720707034203}
+    unoptimized: {'mean': 494.0246263099107, 'median': 493.60434474983776, 'std': 2.8954121909656414}
 
 
 
@@ -789,7 +790,7 @@ profiling/benchmarking.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 13 minutes  6.228 seconds)
+   **Total running time of the script:** ( 12 minutes  38.507 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 776629ea83..5e309d3f0c 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
 
-    1.128e-07 secs/op
+    1.11e-07 secs/op
 
 
 
diff --git a/docs/_sources/tutorial/intro_topi.rst.txt b/docs/_sources/tutorial/intro_topi.rst.txt
index 2de5cc185b..79d20e85b7 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, 0x7acda80)), stage(b, placeholder(b, 0x88d9f10)), 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.R [...]
+    [stage(a, placeholder(a, 0x10e66f30)), stage(b, placeholder(b, 0x30ddde90)), 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 6866b67aae..a5fd4fd0c5 100644
--- a/docs/_sources/tutorial/sg_execution_times.rst.txt
+++ b/docs/_sources/tutorial/sg_execution_times.rst.txt
@@ -5,32 +5,32 @@
 
 Computation times
 =================
-**16:19.611** total execution time for **tutorial** files:
+**16:09.503** total execution time for **tutorial** files:
 
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_autotvm_relay_x86.py` (``autotvm_relay_x86.py``)                 | 13:06.228 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_autotvm_relay_x86.py` (``autotvm_relay_x86.py``)                 | 12:38.507 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_auto_scheduler_matmul_x86.py` (``auto_scheduler_matmul_x86.py``) | 01:15.527 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_auto_scheduler_matmul_x86.py` (``auto_scheduler_matmul_x86.py``) | 01:27.327 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_tensor_expr_get_started.py` (``tensor_expr_get_started.py``)     | 00:56.069 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_tensor_expr_get_started.py` (``tensor_expr_get_started.py``)     | 01:00.368 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_relay_quick_start.py` (``relay_quick_start.py``)                 | 00:40.646 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_relay_quick_start.py` (``relay_quick_start.py``)                 | 00:42.121 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_autotvm_matmul_x86.py` (``autotvm_matmul_x86.py``)               | 00:19.170 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_autotvm_matmul_x86.py` (``autotvm_matmul_x86.py``)               | 00:18.964 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_intro_topi.py` (``intro_topi.py``)                               | 00:00.928 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_tensor_ir_blitz_course.py` (``tensor_ir_blitz_course.py``)       | 00:01.050 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_tensor_ir_blitz_course.py` (``tensor_ir_blitz_course.py``)       | 00:00.850 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_intro_topi.py` (``intro_topi.py``)                               | 00:00.960 | 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``) | 00:00.205 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
 | :ref:`sphx_glr_tutorial_uma.py` (``uma.py``)                                             | 00:00.000 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_tvmc_python.py` (``tvmc_python.py``)                             | 00:00.000 | 0.0 MB |
-+------------------------------------------------------------------------------------------+-----------+--------+
 | :ref:`sphx_glr_tutorial_tvmc_command_line_driver.py` (``tvmc_command_line_driver.py``)   | 00:00.000 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_introduction.py` (``introduction.py``)                           | 00:00.000 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_tvmc_python.py` (``tvmc_python.py``)                             | 00:00.000 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
 | :ref:`sphx_glr_tutorial_install.py` (``install.py``)                                     | 00:00.000 | 0.0 MB |
 +------------------------------------------------------------------------------------------+-----------+--------+
+| :ref:`sphx_glr_tutorial_introduction.py` (``introduction.py``)                           | 00:00.000 | 0.0 MB |
++------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/docs/_sources/tutorial/tensor_expr_get_started.rst.txt b/docs/_sources/tutorial/tensor_expr_get_started.rst.txt
index 845c8845a5..2510f59780 100644
--- a/docs/_sources/tutorial/tensor_expr_get_started.rst.txt
+++ b/docs/_sources/tutorial/tensor_expr_get_started.rst.txt
@@ -285,8 +285,8 @@ helper function to run a profile of the TVM generated code.
 
  .. code-block:: none
 
-    Numpy running time: 0.000006
-    naive: 0.000006
+    Numpy running time: 0.000007
+    naive: 0.000008
 
 
 
@@ -444,7 +444,7 @@ factor to be the number of threads on your CPU.
 
  .. code-block:: none
 
-    vector: 0.000038
+    vector: 0.000039
     # from tvm.script import ir as I
     # from tvm.script import tir as T
 
@@ -498,10 +498,10 @@ We can now compare the different schedules
  .. code-block:: none
 
                 Operator                  Timing             Performance
-                   numpy    5.907220001972746e-06                    1.0
-                   naive              5.7903e-06      0.9802072714519351
-                parallel              7.0881e-06      1.1999045232161478
-                  vector             3.83741e-05       6.496135235725904
+                   numpy    7.20887997886166e-06                     1.0
+                   naive              7.9439e-06      1.1019603632316828
+                parallel    7.030100000000001e-06     0.9752000339323321
+                  vector             3.91776e-05       5.434630638168352
 
 
 
@@ -922,7 +922,7 @@ matrix multiplication.
 
  .. code-block:: none
 
-    Numpy running time: 0.014579
+    Numpy running time: 0.018228
 
 
 
@@ -980,7 +980,7 @@ optimizations.
 
  .. code-block:: none
 
-    none: 3.197968
+    none: 3.418428
 
 
 
@@ -1080,7 +1080,7 @@ schedule.
 
  .. code-block:: none
 
-    blocking: 0.283057
+    blocking: 0.296705
 
 
 
@@ -1164,7 +1164,7 @@ already cache friendly from our previous optimizations.
 
  .. code-block:: none
 
-    vectorization: 0.262342
+    vectorization: 0.280831
     # 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: 0.110630
+    loop permutation: 0.113967
     # 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: 0.104241
+    array packing: 0.105157
     # 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: 0.095257
+    block caching: 0.110904
     # 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: 0.112764
+    parallelization: 0.131456
     # 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            3.1979680744                     1.0
-                blocking            0.2830566536     0.08851140693551383
-           vectorization     0.26234238369999996     0.08203408464270565
-        loop permutation            0.1106303082     0.03459393765860416
-           array packing            0.1042406782     0.03259590958222982
-           block caching            0.0952566973    0.029786631724856096
-         parallelization            0.1127636753     0.03526103847085985
+                    none      3.4184275943999998                     1.0
+                blocking     0.29670512010000005     0.08679578897211586
+           vectorization            0.2808313816     0.08215220999855383
+        loop permutation     0.11396747119999999     0.03333915025337943
+           array packing     0.10515745030000001    0.030761935830458092
+           block caching            0.1109036054     0.03244287098011966
+         parallelization             0.131456411     0.03845522754828837
 
 
 
@@ -1594,6 +1594,11 @@ operations with tunable parameters that allows you to automatically optimize
 the computation for specific platforms.
 
 
+.. rst-class:: sphx-glr-timing
+
+   **Total running time of the script:** ( 1 minutes  0.368 seconds)
+
+
 .. _sphx_glr_download_tutorial_tensor_expr_get_started.py:
 
 .. only:: html
diff --git a/docs/commit_hash b/docs/commit_hash
index 3f80875e6a..41b61a4279 100644
--- a/docs/commit_hash
+++ b/docs/commit_hash
@@ -1 +1 @@
-1a01102f876adec6f66c4a210e688601728fcd5a
+67bd739bed70707f92f1da3c25b380bcb436f366
diff --git a/docs/how_to/compile_models/from_darknet.html b/docs/how_to/compile_models/from_darknet.html
index af66428b55..ce425d1ba6 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  31.637 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  35.449 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 bfa6b22f46..ef30ad9281 100644
--- a/docs/how_to/compile_models/from_oneflow.html
+++ b/docs/how_to/compile_models/from_oneflow.html
@@ -468,15 +468,15 @@ Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdo
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Downloading: &quot;https://oneflow-public.oss-cn-beijing.aliyuncs.com/model_zoo/flowvision/classification/ResNet/resnet18.zip&quot; to /workspace/.oneflow/flowvision_cache/resnet18.zip
 
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+ 92%|#########2| 38.3M/41.5M [00:01&lt;00:00, 40.9MB/s]
+100%|##########| 41.5M/41.5M [00:01&lt;00:00, 32.3MB/s]
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diff --git a/docs/how_to/compile_models/from_paddle.html b/docs/how_to/compile_models/from_paddle.html
index 12b26b40e5..7f31136651 100644
--- a/docs/how_to/compile_models/from_paddle.html
+++ b/docs/how_to/compile_models/from_paddle.html
@@ -503,6 +503,7 @@ To begin, we’ll install PaddlePaddle&gt;=2.1.3:</p>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>TVM prediction top-1 id: 282, class name:  282: &#39;tiger cat&#39;,
 </pre></div>
 </div>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  2.454 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 494d1f8c3e..f6d5d91aef 100644
--- a/docs/how_to/compile_models/from_pytorch.html
+++ b/docs/how_to/compile_models/from_pytorch.html
@@ -451,14 +451,14 @@ be unstable.</p>
 Downloading: &quot;https://download.pytorch.org/models/resnet18-f37072fd.pth&quot; to /workspace/.cache/torch/hub/checkpoints/resnet18-f37072fd.pth
 
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+ 90%|########9 | 40.0M/44.7M [00:01&lt;00:00, 34.2MB/s]
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diff --git a/docs/how_to/compile_models/from_tensorflow.html b/docs/how_to/compile_models/from_tensorflow.html
index ee1d660659..a8e888e84e 100644
--- a/docs/how_to/compile_models/from_tensorflow.html
+++ b/docs/how_to/compile_models/from_tensorflow.html
@@ -671,7 +671,7 @@ banana (score = 0.00022)
 desk (score = 0.00019)
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  27.530 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  30.961 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-compile-models-from-tensorflow-py">
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 <p><a class="reference download internal" download="" href="../../_downloads/7f1d3d1b878694c201c614c807cdebc8/from_tensorflow.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">from_tensorflow.py</span></code></a></p>
diff --git a/docs/how_to/compile_models/sg_execution_times.html b/docs/how_to/compile_models/sg_execution_times.html
index c4f690ebc6..be53e7c0d9 100644
--- a/docs/how_to/compile_models/sg_execution_times.html
+++ b/docs/how_to/compile_models/sg_execution_times.html
@@ -360,7 +360,7 @@
             
   <div class="section" id="computation-times">
 <span id="sphx-glr-how-to-compile-models-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>06:21.908</strong> total execution time for <strong>how_to_compile_models</strong> files:</p>
+<p><strong>06:42.103</strong> total execution time for <strong>how_to_compile_models</strong> files:</p>
 <table class="docutils align-default">
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+<td><p>01:02.454</p></td>
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 <tr class="row-odd"><td><p><a class="reference internal" href="from_coreml.html#sphx-glr-how-to-compile-models-from-coreml-py"><span class="std std-ref">Compile CoreML Models</span></a> (<code class="docutils literal notranslate"><span class="pre">from_coreml.py</span></code>)</p></td>
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 <tr class="row-odd"><td><p><a class="reference internal" href="from_keras.html#sphx-glr-how-to-compile-models-from-keras-py"><span class="std std-ref">Compile Keras Models</span></a> (<code class="docutils literal notranslate"><span class="pre">from_keras.py</span></code>)</p></td>
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 <tr class="row-even"><td><p><a class="reference internal" href="from_tflite.html#sphx-glr-how-to-compile-models-from-tflite-py"><span class="std std-ref">Compile TFLite Models</span></a> (<code class="docutils literal notranslate"><span class="pre">from_tflite.py</span></code>)</p></td>
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 <td><p>0.0 MB</p></td>
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 <tr class="row-odd"><td><p><a class="reference internal" href="from_onnx.html#sphx-glr-how-to-compile-models-from-onnx-py"><span class="std std-ref">Compile ONNX Models</span></a> (<code class="docutils literal notranslate"><span class="pre">from_onnx.py</span></code>)</p></td>
-<td><p>00:02.791</p></td>
+<td><p>00:02.907</p></td>
 <td><p>0.0 MB</p></td>
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diff --git a/docs/how_to/deploy_models/deploy_model_on_adreno.html b/docs/how_to/deploy_models/deploy_model_on_adreno.html
index 832b1d79b2..1cc5df9ffc 100644
--- a/docs/how_to/deploy_models/deploy_model_on_adreno.html
+++ b/docs/how_to/deploy_models/deploy_model_on_adreno.html
@@ -850,10 +850,10 @@ Top5 predictions:
 Evaluate inference time cost...
 Execution time summary:
  mean (ms)   median (ms)    max (ms)     min (ms)     std (ms)
- 4005.7703    4006.1128    4013.0085    3995.7190      5.6147
+ 4116.3261    4116.1077    4117.5492    4115.4939      0.7174
 </pre></div>
 </div>
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+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  19.459 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-deploy-models-deploy-model-on-adreno-py">
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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 12437485ef..8b20b55c64 100644
--- a/docs/how_to/deploy_models/deploy_model_on_adreno_tvmc.html
+++ b/docs/how_to/deploy_models/deploy_model_on_adreno_tvmc.html
@@ -459,25 +459,21 @@ to run this tutorial with a real device over rpc.</p>
 
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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 a9218b7982..33da134c81 100644
--- a/docs/how_to/deploy_models/deploy_model_on_android.html
+++ b/docs/how_to/deploy_models/deploy_model_on_android.html
@@ -682,7 +682,7 @@ to the remote android device.</p>
 Evaluate inference time cost...
 Execution time summary:
  mean (ms)   median (ms)    max (ms)     min (ms)     std (ms)
-  13.8952      13.8335      14.5689      13.6890       0.2441
+  15.3068      15.3268      15.5920      14.9674       0.2129
 </pre></div>
 </div>
 </div>
diff --git a/docs/how_to/deploy_models/deploy_object_detection_pytorch.html b/docs/how_to/deploy_models/deploy_object_detection_pytorch.html
index 806447224c..4299503e98 100644
--- a/docs/how_to/deploy_models/deploy_object_detection_pytorch.html
+++ b/docs/how_to/deploy_models/deploy_object_detection_pytorch.html
@@ -474,36 +474,39 @@ be unstable.</p>
 Downloading: &quot;https://download.pytorch.org/models/maskrcnn_resnet50_fpn_coco-bf2d0c1e.pth&quot; to /workspace/.cache/torch/hub/checkpoints/maskrcnn_resnet50_fpn_coco-bf2d0c1e.pth
 
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 /venv/apache-tvm-py3.8/lib/python3.8/site-packages/torch/nn/functional.py:3912: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
   (torch.floor((input.size(i + 2).float() * torch.tensor(scale_factors[i], dtype=torch.float32)).float()))
 /venv/apache-tvm-py3.8/lib/python3.8/site-packages/torchvision/ops/boxes.py:157: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
@@ -594,7 +597,7 @@ torchvision rcnn models.</p>
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+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  36.661 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-deploy-models-deploy-object-detection-pytorch-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../../_downloads/7795da4b258c8feff986668b95ef57ad/deploy_object_detection_pytorch.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">deploy_object_detection_pytorch.py</span></code></a></p>
diff --git a/docs/how_to/deploy_models/deploy_prequantized.html b/docs/how_to/deploy_models/deploy_prequantized.html
index b7721f7089..77e30b6509 100644
--- a/docs/how_to/deploy_models/deploy_prequantized.html
+++ b/docs/how_to/deploy_models/deploy_prequantized.html
@@ -515,8 +515,10 @@ 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, 58.4MB/s]
-100%|##########| 13.6M/13.6M [00:00&lt;00:00, 39.8MB/s]
+ 47%|####6     | 6.30M/13.6M [00:00&lt;00:00, 16.7MB/s]
+ 59%|#####8    | 7.99M/13.6M [00:00&lt;00:00, 14.2MB/s]
+ 90%|########9 | 12.2M/13.6M [00:00&lt;00:00, 20.4MB/s]
+100%|##########| 13.6M/13.6M [00:00&lt;00:00, 20.4MB/s]
 </pre></div>
 </div>
 </div>
@@ -607,7 +609,7 @@ output values are identical out of 1000 outputs from mobilenet v2.</p>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Execution time summary:
  mean (ms)   median (ms)    max (ms)     min (ms)     std (ms)
-  86.5491      86.0988      90.4162      85.6121       1.1157
+  89.0746      89.0106      91.5111      88.4988       0.4167
 </pre></div>
 </div>
 <div class="admonition note">
@@ -646,7 +648,7 @@ 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  24.914 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  29.046 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 b7eb092287..0b6771c059 100644
--- a/docs/how_to/deploy_models/deploy_prequantized_tflite.html
+++ b/docs/how_to/deploy_models/deploy_prequantized_tflite.html
@@ -600,7 +600,7 @@ TFLite Top-5 labels: [387 102 386 341 349]
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Execution time summary:
  mean (ms)   median (ms)    max (ms)     min (ms)     std (ms)
-  107.1608     106.5409     120.8698     104.3406      2.5093
+  110.7225     109.9868     178.6624     109.2901      6.8405
 </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 aa18ebbb75..f0e2419857 100644
--- a/docs/how_to/deploy_models/sg_execution_times.html
+++ b/docs/how_to/deploy_models/sg_execution_times.html
@@ -360,7 +360,7 @@
             
   <div class="section" id="computation-times">
 <span id="sphx-glr-how-to-deploy-models-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>09:26.288</strong> total execution time for <strong>how_to_deploy_models</strong> files:</p>
+<p><strong>09:55.414</strong> total execution time for <strong>how_to_deploy_models</strong> files:</p>
 <table class="docutils align-default">
 <colgroup>
 <col style="width: 86%" />
@@ -369,35 +369,35 @@
 </colgroup>
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="deploy_object_detection_pytorch.html#sphx-glr-how-to-deploy-models-deploy-object-detection-pytorch-py"><span class="std std-ref">Compile PyTorch Object Detection Models</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_object_detection_pytorch.py</span></code>)</p></td>
-<td><p>03:22.657</p></td>
+<td><p>03:36.661</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>01:24.914</p></td>
+<td><p>01:29.046</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>01:16.927</p></td>
+<td><p>01:19.459</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="deploy_prequantized_tflite.html#sphx-glr-how-to-deploy-models-deploy-prequantized-tflite-py"><span class="std std-ref">Deploy a Framework-prequantized Model with TVM - Part 3 (TFLite)</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_prequantized_tflite.py</span></code>)</p></td>
-<td><p>00:50.121</p></td>
+<td><p>00:51.773</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>00:48.699</p></td>
+<td><p>00:50.870</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="deploy_model_on_adreno_tvmc.html#sphx-glr-how-to-deploy-models-deploy-model-on-adreno-tvmc-py"><span class="std std-ref">Deploy the Pretrained Model on Adreno™ with tvmc Interface</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_model_on_adreno_tvmc.py</span></code>)</p></td>
-<td><p>00:45.841</p></td>
+<td><p>00:47.734</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>00:28.569</p></td>
+<td><p>00:29.962</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>00:28.551</p></td>
+<td><p>00:29.899</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="deploy_sparse.html#sphx-glr-how-to-deploy-models-deploy-sparse-py"><span class="std std-ref">Deploy a Hugging Face Pruned Model on CPU</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_sparse.py</span></code>)</p></td>
diff --git a/docs/how_to/extend_tvm/sg_execution_times.html b/docs/how_to/extend_tvm/sg_execution_times.html
index 169001c3d4..a4d41c0dee 100644
--- a/docs/how_to/extend_tvm/sg_execution_times.html
+++ b/docs/how_to/extend_tvm/sg_execution_times.html
@@ -360,7 +360,7 @@
             
   <div class="section" id="computation-times">
 <span id="sphx-glr-how-to-extend-tvm-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>00:03.766</strong> total execution time for <strong>how_to_extend_tvm</strong> files:</p>
+<p><strong>00:04.036</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>00:02.637</p></td>
+<td><p>00:02.854</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>00:01.122</p></td>
+<td><p>00:01.175</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 68b70521a0..4a3b9b9434 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: 24356us [24356us] (48.60%; 48.60%)
-FoldScaleAxis: 25763us [7us] (51.40%; 51.40%)
-        FoldConstant: 25756us [1806us] (51.39%; 99.97%)
-                InferType: 23950us [23950us] (47.79%; 92.99%)
+InferType: 25331us [25331us] (48.48%; 48.48%)
+FoldScaleAxis: 26914us [8us] (51.52%; 51.52%)
+        FoldConstant: 26906us [1846us] (51.50%; 99.97%)
+                InferType: 25060us [25060us] (47.97%; 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: 23521us [23521us] (48.60%; 48.60%)
-FoldScaleAxis: 24873us [5us] (51.40%; 51.40%)
-        FoldConstant: 24868us [1664us] (51.39%; 99.98%)
-                InferType: 23204us [23204us] (47.95%; 93.31%)
+InferType: 25260us [25260us] (48.02%; 48.02%)
+FoldScaleAxis: 27348us [8us] (51.98%; 51.98%)
+        FoldConstant: 27339us [1901us] (51.97%; 99.97%)
+                InferType: 25438us [25438us] (48.35%; 93.05%)
 </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 e5e5047b0b..9e5730d12b 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: 53.497695 ms
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Convolution: 53.502944 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 a1ff48f9f3..7110b9353c 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: 12.266832 ms
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>conv2d with tensor core: 12.092211 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 3b29fe3609..d94da60206 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: 0.013818
-Baseline: 3.313510
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Numpy running time: 0.018237
+Baseline: 3.435389
 </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: 0.289857
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt1: 0.297902
 </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: 0.258958
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt2: 0.286532
 </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: 0.110938
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt3: 0.118285
 </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: 0.103325
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt4: 0.107668
 </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: 0.095177
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt5: 0.112236
 </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: 0.112953
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt6: 0.133273
 </pre></div>
 </div>
 <p>Here is the generated IR after parallelization.</p>
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diff --git a/docs/how_to/tune_with_autoscheduler/tune_network_x86.html b/docs/how_to/tune_with_autoscheduler/tune_network_x86.html
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diff --git a/docs/how_to/tune_with_autotvm/sg_execution_times.html b/docs/how_to/tune_with_autotvm/sg_execution_times.html
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 <span id="sphx-glr-how-to-tune-with-autotvm-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
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diff --git a/docs/how_to/tune_with_autotvm/tune_conv2d_cuda.html b/docs/how_to/tune_with_autotvm/tune_conv2d_cuda.html
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 Best config:
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+tvmgen_default_fused_layout_transform         tvmgen_default_fused_layout_transform         1.009     0.329    (1, 1, 10, 10, 3)  1       1        [1.009]
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 ---------                                     ---                                           --------  -------  -----              ------  -------  ----------------
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-tvmgen_default_fused_layout_transform_1       tvmgen_default_fused_layout_transform_1       1.703     1.667    (1, 6, 10, 10)     1       1        [1.703]
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+tvmgen_default_fused_layout_transform_1       tvmgen_default_fused_layout_transform_1       1.811     1.747    (1, 6, 10, 10)     1       1        [1.811]
+tvmgen_default_fused_layout_transform         tvmgen_default_fused_layout_transform         1.112     1.073    (1, 1, 10, 10, 3)  1       1        [1.112]
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@@ -475,8 +475,8 @@ download a cat image and preprocess it to use as the model input.</p>
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index d6d8408185..f5197752d0 100644
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@@ -986,7 +986,7 @@ as intended.</p>
 <p>From here, we could modify the model to read live images from the camera - we have another
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index 48e0d3a919..39658c543c 100644
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index 36f8978d47..71314e2d68 100644
--- a/docs/how_to/work_with_schedules/intrin_math.html
+++ b/docs/how_to/work_with_schedules/intrin_math.html
@@ -572,7 +572,7 @@ The following example customizes CUDA lowering rule for <code class="code docuti
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index 30695d710f..55d07221ff 100644
--- a/docs/reference/api/doxygen/classtvm_1_1PrinterConfigNode.html
+++ b/docs/reference/api/doxygen/classtvm_1_1PrinterConfigNode.html
@@ -581,24 +581,25 @@ Additional Inherited Members</h2></td></tr>
 <p>In Relax, whether to show all StructInfo annotations. </p>
 <p>If true (default), all variable bindings will be annotated with the struct info of the variable being bound.</p>
 <p>If false, the annotations will only be shown when they are required for correct parsing of the Relax function. For example, function parameters must always have struct info annotations, but the struct info for expressions within a function body may be inferred from their arguments, and are therefore</p>
-<p>Example: </p><pre class="fragment"># func.show(show_all_struct_info=True)
-@R.function
-def func(
-    A: R.Tensor((10, 20), dtype="float32"),
-    B: R.Tensor((10,20), dtype="float32"),
-) -&gt; R.Tensor((10, 20), dtype="float32"):
-    C: R.Tensor((10,20), dtype="float32") = R.add(A, B2)
-    return C
-
-# func.show(show_all_struct_info=False)
-@R.function
-def func(
-    A: R.Tensor((10, 20), dtype="float32"),
-    B: R.Tensor((10,20), dtype="float32"),
-) -&gt; R.Tensor((10, 20), dtype="float32"):
-    C = R.add(A, B2)
-    return C
-</pre> 
+<p>Example:</p>
+<div class="fragment"><div class="line"><span class="comment"># func.show(show_all_struct_info=True)</span></div>
+<div class="line"><span class="preprocessor">@R.function</span></div>
+<div class="line"><span class="keyword">def </span>func(</div>
+<div class="line">    A: R.Tensor((10, 20), dtype=<span class="stringliteral">&quot;float32&quot;</span>),</div>
+<div class="line">    B: R.Tensor((10,20), dtype=<span class="stringliteral">&quot;float32&quot;</span>),</div>
+<div class="line">) -&gt; R.Tensor((10, 20), dtype=<span class="stringliteral">&quot;float32&quot;</span>):</div>
+<div class="line">    C: R.Tensor((10,20), dtype=<span class="stringliteral">&quot;float32&quot;</span>) = R.add(A, B2)</div>
+<div class="line">    <span class="keywordflow">return</span> C</div>
+<div class="line"> </div>
+<div class="line"><span class="comment"># func.show(show_all_struct_info=False)</span></div>
+<div class="line"><span class="preprocessor">@R.function</span></div>
+<div class="line"><span class="keyword">def </span>func(</div>
+<div class="line">    A: R.Tensor((10, 20), dtype=<span class="stringliteral">&quot;float32&quot;</span>),</div>
+<div class="line">    B: R.Tensor((10,20), dtype=<span class="stringliteral">&quot;float32&quot;</span>),</div>
+<div class="line">) -&gt; R.Tensor((10, 20), dtype=<span class="stringliteral">&quot;float32&quot;</span>):</div>
+<div class="line">    C = R.add(A, B2)</div>
+<div class="line">    <span class="keywordflow">return</span> C</div>
+</div><!-- fragment --> 
 </div>
 </div>
 <a id="aa11acd5d0e720eda7619ae1c7baa8c2c"></a>
diff --git a/docs/reference/api/doxygen/doc_8h_source.html b/docs/reference/api/doxygen/doc_8h_source.html
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 <div class="ttc" id="aclasstvm_1_1AttrVisitor_html"><div class="ttname"><a href="classtvm_1_1AttrVisitor.html">tvm::AttrVisitor</a></div><div class="ttdoc">Visitor class to get the attributes of an AST/IR node. The content is going to be called for each fie...</div><div class="ttdef"><b>Definition:</b> reflection.h:52</div></div>
 <div class="ttc" id="aclasstvm_1_1FloatImm_html"><div class="ttname"><a href="classtvm_1_1FloatImm.html">tvm::FloatImm</a></div><div class="ttdoc">Managed reference class to FloatImmNode.</div><div class="ttdef"><b>Definition:</b> expr.h:576</div></div>
 <div class="ttc" id="aclasstvm_1_1IntImm_html"><div class="ttname"><a href="classtvm_1_1IntImm.html">tvm::IntImm</a></div><div class="ttdoc">Managed reference class to IntImmNode.</div><div class="ttdef"><b>Definition:</b> expr.h:529</div></div>
-<div class="ttc" id="aclasstvm_1_1PrinterConfig_html"><div class="ttname"><a href="classtvm_1_1PrinterConfig.html">tvm::PrinterConfig</a></div><div class="ttdef"><b>Definition:</b> script_printer.h:147</div></div>
+<div class="ttc" id="aclasstvm_1_1PrinterConfig_html"><div class="ttname"><a href="classtvm_1_1PrinterConfig.html">tvm::PrinterConfig</a></div><div class="ttdef"><b>Definition:</b> script_printer.h:149</div></div>
 <div class="ttc" id="aclasstvm_1_1runtime_1_1Array_html"><div class="ttname"><a href="classtvm_1_1runtime_1_1Array.html">tvm::runtime::Array</a></div><div class="ttdoc">Array, container representing a contiguous sequence of ObjectRefs.</div><div class="ttdef"><b>Definition:</b> array.h:289</div></div>
 <div class="ttc" id="aclasstvm_1_1runtime_1_1DataType_html"><div class="ttname"><a href="classtvm_1_1runtime_1_1DataType.html">tvm::runtime::DataType</a></div><div class="ttdoc">Runtime primitive data type.</div><div class="ttdef"><b>Definition:</b> data_type.h:42</div></div>
 <div class="ttc" id="aclasstvm_1_1runtime_1_1DataType_html_a237a714a6a16e14aa01fa4ac52426551"><div class="ttname"><a href="classtvm_1_1runtime_1_1DataType.html#a237a714a6a16e14aa01fa4ac52426551">tvm::runtime::DataType::Float</a></div><div class="ttdeci">static DataType Float(int bits, int lanes=1)</div><div class="ttdoc">Construct an float type.</div><div class="ttdef"><b>Definition:</b> data_type.h:190</div></div>
diff --git a/docs/reference/api/doxygen/ir__docsifier_8h_source.html b/docs/reference/api/doxygen/ir__docsifier_8h_source.html
index db12ff9b07..3e3b584055 100644
--- a/docs/reference/api/doxygen/ir__docsifier_8h_source.html
+++ b/docs/reference/api/doxygen/ir__docsifier_8h_source.html
@@ -284,7 +284,7 @@ $(function() {
 <div class="ttc" id="aclasstvm_1_1AttrVisitor_html"><div class="ttname"><a href="classtvm_1_1AttrVisitor.html">tvm::AttrVisitor</a></div><div class="ttdoc">Visitor class to get the attributes of an AST/IR node. The content is going to be called for each fie...</div><div class="ttdef"><b>Definition:</b> reflection.h:52</div></div>
 <div class="ttc" id="aclasstvm_1_1GlobalInfo_html"><div class="ttname"><a href="classtvm_1_1GlobalInfo.html">tvm::GlobalInfo</a></div><div class="ttdoc">Managed reference to GlobalInfoNode.</div><div class="ttdef"><b>Definition:</b> global_info.h:54</div></div>
 <div class="ttc" id="aclasstvm_1_1ObjectPath_html"><div class="ttname"><a href="classtvm_1_1ObjectPath.html">tvm::ObjectPath</a></div><div class="ttdef"><b>Definition:</b> object_path.h:122</div></div>
-<div class="ttc" id="aclasstvm_1_1PrinterConfig_html"><div class="ttname"><a href="classtvm_1_1PrinterConfig.html">tvm::PrinterConfig</a></div><div class="ttdef"><b>Definition:</b> script_printer.h:147</div></div>
+<div class="ttc" id="aclasstvm_1_1PrinterConfig_html"><div class="ttname"><a href="classtvm_1_1PrinterConfig.html">tvm::PrinterConfig</a></div><div class="ttdef"><b>Definition:</b> script_printer.h:149</div></div>
 <div class="ttc" id="aclasstvm_1_1runtime_1_1Array_html"><div class="ttname"><a href="classtvm_1_1runtime_1_1Array.html">tvm::runtime::Array</a></div><div class="ttdoc">Array, container representing a contiguous sequence of ObjectRefs.</div><div class="ttdef"><b>Definition:</b> array.h:289</div></div>
 <div class="ttc" id="aclasstvm_1_1runtime_1_1ObjectRef_html"><div class="ttname"><a href="classtvm_1_1runtime_1_1ObjectRef.html">tvm::runtime::ObjectRef</a></div><div class="ttdoc">Base class of all object reference.</div><div class="ttdef"><b>Definition:</b> object.h:519</div></div>
 <div class="ttc" id="aclasstvm_1_1runtime_1_1ObjectRef_html_a17d8d5ad92691f9e18e3e0ae8ef69e4f"><div class="ttname"><a href="classtvm_1_1runtime_1_1ObjectRef.html#a17d8d5ad92691f9e18e3e0ae8ef69e4f">tvm::runtime::ObjectRef::defined</a></div><div class="ttdeci">bool defined() const</div><div class="ttdef"><b>Definition:</b> object.h:552</div></div>
diff --git a/docs/reference/api/doxygen/script__printer_8h_source.html b/docs/reference/api/doxygen/script__printer_8h_source.html
index 95665e943f..ebc0bfbd0a 100644
--- a/docs/reference/api/doxygen/script__printer_8h_source.html
+++ b/docs/reference/api/doxygen/script__printer_8h_source.html
@@ -118,98 +118,98 @@ $(function() {
 <div class="line"><a name="l00072"></a><span class="lineno"><a class="line" href="classtvm_1_1PrinterConfigNode.html#a518824def075339074d4451a79e3dd9b">   72</a></span>&#160;  <span class="keywordtype">bool</span> <a class="code" href="classtvm_1_1PrinterConfigNode.html#a518824def075339074d4451a79e3dd9b">syntax_sugar</a> = <span class="keyword">true</span>;</div>
 <div class="line"><a name="l00074"></a><span class="lineno"><a class="line" href="classtvm_1_1PrinterConfigNode.html#a895ea453f71467ba1ff0f0febbec410f">   74</a></span>&#160;  <span class="keywordtype">bool</span> <a class="code" href="classtvm_1_1PrinterConfigNode.html#a895ea453f71467ba1ff0f0febbec410f">show_object_address</a> = <span class="keyword">false</span>;</div>
 <div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160; </div>
-<div class="line"><a name="l00107"></a><span class="lineno"><a class="line" href="classtvm_1_1PrinterConfigNode.html#a7f7bc968aa55a07fb6b10a835c824de7">  107</a></span>&#160;  <span class="keywordtype">bool</span> <a class="code" href="classtvm_1_1PrinterConfigNode.html#a7f7bc968aa55a07fb6b10a835c824de7">show_all_struct_info</a> = <span class="keyword">true</span>;</div>
-<div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160; </div>
-<div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;  <span class="comment">/* \brief Object path to be underlined */</span></div>
-<div class="line"><a name="l00110"></a><span class="lineno"><a class="line" href="classtvm_1_1PrinterConfigNode.html#af9c9ea98dd1057e3841228292643ec5e">  110</a></span>&#160;  <a class="code" href="classtvm_1_1runtime_1_1Array.html">Array&lt;ObjectPath&gt;</a> <a class="code" href="classtvm_1_1PrinterConfigNode.html#af9c9ea98dd1057e3841228292643ec5e">path_to_underline</a> = <a class="code" href="classtvm_1_1runtime_1_1Array.html">Array&lt;ObjectPath&gt;</a>();</div>
-<div class="line"><a name="l00112"></a><span class="lineno"><a class="line" href="classtvm_1_1PrinterConfigNode.html#aefd5b3373f4765540f0e11e78baf693d">  112</a></span>&#160;  <a class="code" href="classtvm_1_1runtime_1_1Map.html">Map&lt;ObjectPath, String&gt;</a> <a class="code" href="classtvm_1_1PrinterConfigNode.html#aefd5b3373f4765540f0e11e78baf693d">path_to_annotate</a> = <a class="code" href="classtvm_1_1runtime_1_1Map.html">Map&lt;ObjectPath, String&gt;</a>();</div>
-<div class="line"><a name="l00114"></a><span class="lineno"><a class="line" href="classtvm_1_1PrinterConfigNode.html#a76b205891ecf851435a83513a514e1d3">  114</a></span>&#160;  <a class="code" href="classtvm_1_1runtime_1_1Array.html">Array&lt;ObjectRef&gt;</a> <a class="code" href="classtvm_1_1PrinterConfigNode.html#a76b205891ecf851435a83513a514e1d3">obj_to_underline</a> = <a class="code" href="classtvm_1_1runtime_1_1Array.html">Array&lt;ObjectRef&gt;</a>();</div>
-<div class="line"><a name="l00116"></a><span class="lineno"><a class="line" href="classtvm_1_1PrinterConfigNode.html#abd7af285839fe88e48b6ff879d19bfed">  116</a></span>&#160;  <a class="code" href="classtvm_1_1runtime_1_1Map.html">Map&lt;ObjectRef, String&gt;</a> <a class="code" href="classtvm_1_1PrinterConfigNode.html#abd7af285839fe88e48b6ff879d19bfed">obj_to_annotate</a> = <a class="code" href="classtvm_1_1runtime_1_1Map.html">Map&lt;ObjectRef, String&gt;</a>();</div>
-<div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160; </div>
-<div class="line"><a name="l00118"></a><span class="lineno"><a class="line" href="classtvm_1_1PrinterConfigNode.html#af560db7326ce64454f992c9828f4fce8">  118</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classtvm_1_1PrinterConfigNode.html#af560db7326ce64454f992c9828f4fce8">VisitAttrs</a>(<a class="code" href="classtvm_1_1AttrVisitor.html">AttrVisitor</a>* v) {</div>
-<div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;    v-&gt;Visit(<span class="stringliteral">&quot;binding_names&quot;</span>, &amp;<a class="code" href="classtvm_1_1PrinterConfigNode.html#ac20912a4c37fd43e1c42e4b874f66aa1">binding_names</a>);</div>
-<div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;    v-&gt;Visit(<span class="stringliteral">&quot;show_meta&quot;</span>, &amp;<a class="code" href="classtvm_1_1PrinterConfigNode.html#aa11acd5d0e720eda7619ae1c7baa8c2c">show_meta</a>);</div>
-<div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;    v-&gt;Visit(<span class="stringliteral">&quot;ir_prefix&quot;</span>, &amp;<a class="code" href="classtvm_1_1PrinterConfigNode.html#afeed5ce9bf46b8e845dfd027103ef24b">ir_prefix</a>);</div>
-<div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;    v-&gt;Visit(<span class="stringliteral">&quot;tir_prefix&quot;</span>, &amp;<a class="code" href="classtvm_1_1PrinterConfigNode.html#a2148a7bfe39c1cc3c645da5a00fc122c">tir_prefix</a>);</div>
-<div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;    v-&gt;Visit(<span class="stringliteral">&quot;relax_prefix&quot;</span>, &amp;<a class="code" href="classtvm_1_1PrinterConfigNode.html#ab16ceb4c8fb205dbd8493273cedd5326">relax_prefix</a>);</div>
-<div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;    v-&gt;Visit(<span class="stringliteral">&quot;module_alias&quot;</span>, &amp;<a class="code" href="classtvm_1_1PrinterConfigNode.html#ae0dade6b77f9b31d60fc3d7180cf5a39">module_alias</a>);</div>
-<div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;    v-&gt;Visit(<span class="stringliteral">&quot;buffer_dtype&quot;</span>, &amp;<a class="code" href="classtvm_1_1PrinterConfigNode.html#aea1a1880a6566f3088af1e2c69ae2b05">buffer_dtype</a>);</div>
-<div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;    v-&gt;Visit(<span class="stringliteral">&quot;int_dtype&quot;</span>, &amp;<a class="code" href="classtvm_1_1PrinterConfigNode.html#a413eca72f3a8ae62d5adbbf43066fd5a">int_dtype</a>);</div>
-<div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;    v-&gt;Visit(<span class="stringliteral">&quot;float_dtype&quot;</span>, &amp;<a class="code" href="classtvm_1_1PrinterConfigNode.html#ac448fdfedc5307fdd0fd7c63601398c6">float_dtype</a>);</div>
-<div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;    v-&gt;Visit(<span class="stringliteral">&quot;verbose_expr&quot;</span>, &amp;<a class="code" href="classtvm_1_1PrinterConfigNode.html#a434403f4e4cb71c75a7be8cba4845901">verbose_expr</a>);</div>
-<div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;    v-&gt;Visit(<span class="stringliteral">&quot;indent_spaces&quot;</span>, &amp;<a class="code" href="classtvm_1_1PrinterConfigNode.html#a91c90f8090acb5b755c0ba3066e6fb74">indent_spaces</a>);</div>
-<div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;    v-&gt;Visit(<span class="stringliteral">&quot;print_line_numbers&quot;</span>, &amp;<a class="code" href="classtvm_1_1PrinterConfigNode.html#a326fadb110a4356ccd783ed0e0b26733">print_line_numbers</a>);</div>
-<div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;    v-&gt;Visit(<span class="stringliteral">&quot;num_context_lines&quot;</span>, &amp;<a class="code" href="classtvm_1_1PrinterConfigNode.html#a977a3ed2d33dfff1c124a770840f973c">num_context_lines</a>);</div>
-<div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;    v-&gt;Visit(<span class="stringliteral">&quot;syntax_sugar&quot;</span>, &amp;<a class="code" href="classtvm_1_1PrinterConfigNode.html#a518824def075339074d4451a79e3dd9b">syntax_sugar</a>);</div>
-<div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;    v-&gt;Visit(<span class="stringliteral">&quot;show_object_address&quot;</span>, &amp;<a class="code" href="classtvm_1_1PrinterConfigNode.html#a895ea453f71467ba1ff0f0febbec410f">show_object_address</a>);</div>
-<div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;    v-&gt;Visit(<span class="stringliteral">&quot;show_all_struct_info&quot;</span>, &amp;<a class="code" href="classtvm_1_1PrinterConfigNode.html#a7f7bc968aa55a07fb6b10a835c824de7">show_all_struct_info</a>);</div>
-<div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;    v-&gt;Visit(<span class="stringliteral">&quot;path_to_underline&quot;</span>, &amp;<a class="code" href="classtvm_1_1PrinterConfigNode.html#af9c9ea98dd1057e3841228292643ec5e">path_to_underline</a>);</div>
-<div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;    v-&gt;Visit(<span class="stringliteral">&quot;path_to_annotate&quot;</span>, &amp;<a class="code" href="classtvm_1_1PrinterConfigNode.html#aefd5b3373f4765540f0e11e78baf693d">path_to_annotate</a>);</div>
-<div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;    v-&gt;Visit(<span class="stringliteral">&quot;obj_to_underline&quot;</span>, &amp;<a class="code" href="classtvm_1_1PrinterConfigNode.html#a76b205891ecf851435a83513a514e1d3">obj_to_underline</a>);</div>
-<div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;    v-&gt;Visit(<span class="stringliteral">&quot;obj_to_annotate&quot;</span>, &amp;<a class="code" href="classtvm_1_1PrinterConfigNode.html#abd7af285839fe88e48b6ff879d19bfed">obj_to_annotate</a>);</div>
-<div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;  }</div>
-<div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160; </div>
-<div class="line"><a name="l00141"></a><span class="lineno"><a class="line" href="classtvm_1_1PrinterConfigNode.html#a3a31aed496a61837309b9e1a9c7803fc">  141</a></span>&#160;  <a class="code" href="classtvm_1_1runtime_1_1Array.html">Array&lt;String&gt;</a> <a class="code" href="classtvm_1_1PrinterConfigNode.html#a3a31aed496a61837309b9e1a9c7803fc">GetBuiltinKeywords</a>();</div>
+<div class="line"><a name="l00109"></a><span class="lineno"><a class="line" href="classtvm_1_1PrinterConfigNode.html#a7f7bc968aa55a07fb6b10a835c824de7">  109</a></span>&#160;  <span class="keywordtype">bool</span> <a class="code" href="classtvm_1_1PrinterConfigNode.html#a7f7bc968aa55a07fb6b10a835c824de7">show_all_struct_info</a> = <span class="keyword">true</span>;</div>
+<div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160; </div>
+<div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;  <span class="comment">/* \brief Object path to be underlined */</span></div>
+<div class="line"><a name="l00112"></a><span class="lineno"><a class="line" href="classtvm_1_1PrinterConfigNode.html#af9c9ea98dd1057e3841228292643ec5e">  112</a></span>&#160;  <a class="code" href="classtvm_1_1runtime_1_1Array.html">Array&lt;ObjectPath&gt;</a> <a class="code" href="classtvm_1_1PrinterConfigNode.html#af9c9ea98dd1057e3841228292643ec5e">path_to_underline</a> = <a class="code" href="classtvm_1_1runtime_1_1Array.html">Array&lt;ObjectPath&gt;</a>();</div>
+<div class="line"><a name="l00114"></a><span class="lineno"><a class="line" href="classtvm_1_1PrinterConfigNode.html#aefd5b3373f4765540f0e11e78baf693d">  114</a></span>&#160;  <a class="code" href="classtvm_1_1runtime_1_1Map.html">Map&lt;ObjectPath, String&gt;</a> <a class="code" href="classtvm_1_1PrinterConfigNode.html#aefd5b3373f4765540f0e11e78baf693d">path_to_annotate</a> = <a class="code" href="classtvm_1_1runtime_1_1Map.html">Map&lt;ObjectPath, String&gt;</a>();</div>
+<div class="line"><a name="l00116"></a><span class="lineno"><a class="line" href="classtvm_1_1PrinterConfigNode.html#a76b205891ecf851435a83513a514e1d3">  116</a></span>&#160;  <a class="code" href="classtvm_1_1runtime_1_1Array.html">Array&lt;ObjectRef&gt;</a> <a class="code" href="classtvm_1_1PrinterConfigNode.html#a76b205891ecf851435a83513a514e1d3">obj_to_underline</a> = <a class="code" href="classtvm_1_1runtime_1_1Array.html">Array&lt;ObjectRef&gt;</a>();</div>
+<div class="line"><a name="l00118"></a><span class="lineno"><a class="line" href="classtvm_1_1PrinterConfigNode.html#abd7af285839fe88e48b6ff879d19bfed">  118</a></span>&#160;  <a class="code" href="classtvm_1_1runtime_1_1Map.html">Map&lt;ObjectRef, String&gt;</a> <a class="code" href="classtvm_1_1PrinterConfigNode.html#abd7af285839fe88e48b6ff879d19bfed">obj_to_annotate</a> = <a class="code" href="classtvm_1_1runtime_1_1Map.html">Map&lt;ObjectRef, String&gt;</a>();</div>
+<div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160; </div>
+<div class="line"><a name="l00120"></a><span class="lineno"><a class="line" href="classtvm_1_1PrinterConfigNode.html#af560db7326ce64454f992c9828f4fce8">  120</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classtvm_1_1PrinterConfigNode.html#af560db7326ce64454f992c9828f4fce8">VisitAttrs</a>(<a class="code" href="classtvm_1_1AttrVisitor.html">AttrVisitor</a>* v) {</div>
+<div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;    v-&gt;Visit(<span class="stringliteral">&quot;binding_names&quot;</span>, &amp;<a class="code" href="classtvm_1_1PrinterConfigNode.html#ac20912a4c37fd43e1c42e4b874f66aa1">binding_names</a>);</div>
+<div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;    v-&gt;Visit(<span class="stringliteral">&quot;show_meta&quot;</span>, &amp;<a class="code" href="classtvm_1_1PrinterConfigNode.html#aa11acd5d0e720eda7619ae1c7baa8c2c">show_meta</a>);</div>
+<div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;    v-&gt;Visit(<span class="stringliteral">&quot;ir_prefix&quot;</span>, &amp;<a class="code" href="classtvm_1_1PrinterConfigNode.html#afeed5ce9bf46b8e845dfd027103ef24b">ir_prefix</a>);</div>
+<div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;    v-&gt;Visit(<span class="stringliteral">&quot;tir_prefix&quot;</span>, &amp;<a class="code" href="classtvm_1_1PrinterConfigNode.html#a2148a7bfe39c1cc3c645da5a00fc122c">tir_prefix</a>);</div>
+<div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;    v-&gt;Visit(<span class="stringliteral">&quot;relax_prefix&quot;</span>, &amp;<a class="code" href="classtvm_1_1PrinterConfigNode.html#ab16ceb4c8fb205dbd8493273cedd5326">relax_prefix</a>);</div>
+<div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;    v-&gt;Visit(<span class="stringliteral">&quot;module_alias&quot;</span>, &amp;<a class="code" href="classtvm_1_1PrinterConfigNode.html#ae0dade6b77f9b31d60fc3d7180cf5a39">module_alias</a>);</div>
+<div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;    v-&gt;Visit(<span class="stringliteral">&quot;buffer_dtype&quot;</span>, &amp;<a class="code" href="classtvm_1_1PrinterConfigNode.html#aea1a1880a6566f3088af1e2c69ae2b05">buffer_dtype</a>);</div>
+<div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;    v-&gt;Visit(<span class="stringliteral">&quot;int_dtype&quot;</span>, &amp;<a class="code" href="classtvm_1_1PrinterConfigNode.html#a413eca72f3a8ae62d5adbbf43066fd5a">int_dtype</a>);</div>
+<div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;    v-&gt;Visit(<span class="stringliteral">&quot;float_dtype&quot;</span>, &amp;<a class="code" href="classtvm_1_1PrinterConfigNode.html#ac448fdfedc5307fdd0fd7c63601398c6">float_dtype</a>);</div>
+<div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;    v-&gt;Visit(<span class="stringliteral">&quot;verbose_expr&quot;</span>, &amp;<a class="code" href="classtvm_1_1PrinterConfigNode.html#a434403f4e4cb71c75a7be8cba4845901">verbose_expr</a>);</div>
+<div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;    v-&gt;Visit(<span class="stringliteral">&quot;indent_spaces&quot;</span>, &amp;<a class="code" href="classtvm_1_1PrinterConfigNode.html#a91c90f8090acb5b755c0ba3066e6fb74">indent_spaces</a>);</div>
+<div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;    v-&gt;Visit(<span class="stringliteral">&quot;print_line_numbers&quot;</span>, &amp;<a class="code" href="classtvm_1_1PrinterConfigNode.html#a326fadb110a4356ccd783ed0e0b26733">print_line_numbers</a>);</div>
+<div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;    v-&gt;Visit(<span class="stringliteral">&quot;num_context_lines&quot;</span>, &amp;<a class="code" href="classtvm_1_1PrinterConfigNode.html#a977a3ed2d33dfff1c124a770840f973c">num_context_lines</a>);</div>
+<div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;    v-&gt;Visit(<span class="stringliteral">&quot;syntax_sugar&quot;</span>, &amp;<a class="code" href="classtvm_1_1PrinterConfigNode.html#a518824def075339074d4451a79e3dd9b">syntax_sugar</a>);</div>
+<div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;    v-&gt;Visit(<span class="stringliteral">&quot;show_object_address&quot;</span>, &amp;<a class="code" href="classtvm_1_1PrinterConfigNode.html#a895ea453f71467ba1ff0f0febbec410f">show_object_address</a>);</div>
+<div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;    v-&gt;Visit(<span class="stringliteral">&quot;show_all_struct_info&quot;</span>, &amp;<a class="code" href="classtvm_1_1PrinterConfigNode.html#a7f7bc968aa55a07fb6b10a835c824de7">show_all_struct_info</a>);</div>
+<div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;    v-&gt;Visit(<span class="stringliteral">&quot;path_to_underline&quot;</span>, &amp;<a class="code" href="classtvm_1_1PrinterConfigNode.html#af9c9ea98dd1057e3841228292643ec5e">path_to_underline</a>);</div>
+<div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;    v-&gt;Visit(<span class="stringliteral">&quot;path_to_annotate&quot;</span>, &amp;<a class="code" href="classtvm_1_1PrinterConfigNode.html#aefd5b3373f4765540f0e11e78baf693d">path_to_annotate</a>);</div>
+<div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;    v-&gt;Visit(<span class="stringliteral">&quot;obj_to_underline&quot;</span>, &amp;<a class="code" href="classtvm_1_1PrinterConfigNode.html#a76b205891ecf851435a83513a514e1d3">obj_to_underline</a>);</div>
+<div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;    v-&gt;Visit(<span class="stringliteral">&quot;obj_to_annotate&quot;</span>, &amp;<a class="code" href="classtvm_1_1PrinterConfigNode.html#abd7af285839fe88e48b6ff879d19bfed">obj_to_annotate</a>);</div>
+<div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;  }</div>
 <div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160; </div>
-<div class="line"><a name="l00143"></a><span class="lineno"><a class="line" href="classtvm_1_1PrinterConfigNode.html#a0e0accb21b68ee692b61db436558297f">  143</a></span>&#160;  <span class="keyword">static</span> constexpr <span class="keyword">const</span> <span class="keywordtype">char</span>* <a class="code" href="classtvm_1_1PrinterConfigNode.html#a0e0accb21b68ee692b61db436558297f">_type_key</a> = <span class="stringliteral">&quot;node.PrinterConfig&quot;</span>;</div>
-<div class="line"><a name="l00144"></a><span class="lineno"><a class="line" href="classtvm_1_1PrinterConfigNode.html#aed421283ca0da143c00c111d6dca7926">  144</a></span>&#160;  <a class="code" href="classtvm_1_1PrinterConfigNode.html#aed421283ca0da143c00c111d6dca7926">TVM_DECLARE_FINAL_OBJECT_INFO</a>(<a class="code" href="classtvm_1_1PrinterConfigNode.html">PrinterConfigNode</a>, <a class="code" href="classtvm_1_1runtime_1_1Object.html">Object</a>);</div>
-<div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;};</div>
-<div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160; </div>
-<div class="line"><a name="l00147"></a><span class="lineno"><a class="line" href="classtvm_1_1PrinterConfig.html">  147</a></span>&#160;<span class="keyword">class </span><a class="code" href="classtvm_1_1PrinterConfig.html">PrinterConfig</a> : <span class="keyword">public</span> <a class="code" href="classtvm_1_1runtime_1_1ObjectRef.html">ObjectRef</a> {</div>
-<div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160; <span class="keyword">public</span>:</div>
-<div class="line"><a name="l00149"></a><span class="lineno"><a class="line" href="classtvm_1_1PrinterConfig.html#a643ddfdf11f3ed02da30740610e0b20f">  149</a></span>&#160;  <span class="keyword">explicit</span> <a class="code" href="classtvm_1_1PrinterConfig.html#a643ddfdf11f3ed02da30740610e0b20f">PrinterConfig</a>(<a class="code" href="classtvm_1_1runtime_1_1Map.html">Map&lt;String, ObjectRef&gt;</a> config_dict = <a class="code" href="classtvm_1_1runtime_1_1Map.html">Map&lt;String, Obje [...]
-<div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160; </div>
-<div class="line"><a name="l00151"></a><span class="lineno"><a class="line" href="classtvm_1_1PrinterConfig.html#a0c3b8496db38588b8c20b387d7238005">  151</a></span>&#160;  <a class="code" href="classtvm_1_1PrinterConfig.html#a0c3b8496db38588b8c20b387d7238005">TVM_DEFINE_MUTABLE_NOTNULLABLE_OBJECT_REF_METHODS</a>(<a class="code" href="classtvm_1_1PrinterConfig.html">PrinterConfig</a>, <a class="code" href="classtvm_1_1runtime_1_1ObjectRef.html">runtime::ObjectRef</a>,</div>
-<div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;                                                    <a class="code" href="classtvm_1_1PrinterConfigNode.html">PrinterConfigNode</a>);</div>
-<div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;};</div>
-<div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160; </div>
-<div class="line"><a name="l00156"></a><span class="lineno"><a class="line" href="classtvm_1_1TVMScriptPrinter.html">  156</a></span>&#160;<span class="keyword">class </span><a class="code" href="classtvm_1_1TVMScriptPrinter.html">TVMScriptPrinter</a> {</div>
-<div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160; <span class="keyword">public</span>:</div>
-<div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;  <span class="comment">/* Convert the object to TVMScript format */</span></div>
-<div class="line"><a name="l00159"></a><span class="lineno"><a class="line" href="classtvm_1_1TVMScriptPrinter.html#a703e7ac95c8a0672506323f6a0ea09f4">  159</a></span>&#160;  <span class="keyword">static</span> std::string <a class="code" href="classtvm_1_1TVMScriptPrinter.html#a703e7ac95c8a0672506323f6a0ea09f4">Script</a>(<span class="keyword">const</span> <a class="code" href="classtvm_1_1runtime_1_1ObjectRef.html">ObjectRef</a>&amp; node, <span class="keyword">const</span> <a class="c [...]
-<div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;  <span class="comment">// Allow registration to be printer.</span></div>
-<div class="line"><a name="l00161"></a><span class="lineno"><a class="line" href="classtvm_1_1TVMScriptPrinter.html#ab2a101e190f9ef724a5d5b6403db6f56">  161</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classtvm_1_1NodeFunctor.html">FType</a> = <a class="code" href="classtvm_1_1NodeFunctor.html">NodeFunctor</a>&lt;std::string(<span class="keyword">const</span> <a class="code" href="classtvm_1_1runtime_1_1ObjectRef.html">ObjectRef</a>&amp;, <span class="keywor [...]
-<div class="line"><a name="l00162"></a><span class="lineno"><a class="line" href="classtvm_1_1TVMScriptPrinter.html#a7fa01f3febf489e9e72ce1af12d05e76">  162</a></span>&#160;  TVM_DLL <span class="keyword">static</span> <a class="code" href="classtvm_1_1NodeFunctor.html">FType</a>&amp; <a class="code" href="classtvm_1_1TVMScriptPrinter.html#a7fa01f3febf489e9e72ce1af12d05e76">vtable</a>();</div>
-<div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;};</div>
-<div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160; </div>
-<div class="line"><a name="l00165"></a><span class="lineno"><a class="line" href="script__printer_8h.html#aeb27774525547e9a0656235a3506bbed">  165</a></span>&#160;<span class="preprocessor">#define TVM_OBJECT_ENABLE_SCRIPT_PRINTER()                                                      \</span></div>
-<div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;<span class="preprocessor">  std::string Script(const Optional&lt;PrinterConfig&gt;&amp; config = NullOpt) const {                   \</span></div>
-<div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160;<span class="preprocessor">    return TVMScriptPrinter::Script(GetRef&lt;ObjectRef&gt;(this), config.value_or(PrinterConfig())); \</span></div>
-<div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;<span class="preprocessor">  }</span></div>
-<div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160; </div>
-<div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;}  <span class="comment">// namespace tvm</span></div>
-<div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;<span class="preprocessor">#endif  </span><span class="comment">// TVM_NODE_SCRIPT_PRINTER_H_</span></div>
+<div class="line"><a name="l00143"></a><span class="lineno"><a class="line" href="classtvm_1_1PrinterConfigNode.html#a3a31aed496a61837309b9e1a9c7803fc">  143</a></span>&#160;  <a class="code" href="classtvm_1_1runtime_1_1Array.html">Array&lt;String&gt;</a> <a class="code" href="classtvm_1_1PrinterConfigNode.html#a3a31aed496a61837309b9e1a9c7803fc">GetBuiltinKeywords</a>();</div>
+<div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160; </div>
+<div class="line"><a name="l00145"></a><span class="lineno"><a class="line" href="classtvm_1_1PrinterConfigNode.html#a0e0accb21b68ee692b61db436558297f">  145</a></span>&#160;  <span class="keyword">static</span> constexpr <span class="keyword">const</span> <span class="keywordtype">char</span>* <a class="code" href="classtvm_1_1PrinterConfigNode.html#a0e0accb21b68ee692b61db436558297f">_type_key</a> = <span class="stringliteral">&quot;node.PrinterConfig&quot;</span>;</div>
+<div class="line"><a name="l00146"></a><span class="lineno"><a class="line" href="classtvm_1_1PrinterConfigNode.html#aed421283ca0da143c00c111d6dca7926">  146</a></span>&#160;  <a class="code" href="classtvm_1_1PrinterConfigNode.html#aed421283ca0da143c00c111d6dca7926">TVM_DECLARE_FINAL_OBJECT_INFO</a>(<a class="code" href="classtvm_1_1PrinterConfigNode.html">PrinterConfigNode</a>, <a class="code" href="classtvm_1_1runtime_1_1Object.html">Object</a>);</div>
+<div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;};</div>
+<div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160; </div>
+<div class="line"><a name="l00149"></a><span class="lineno"><a class="line" href="classtvm_1_1PrinterConfig.html">  149</a></span>&#160;<span class="keyword">class </span><a class="code" href="classtvm_1_1PrinterConfig.html">PrinterConfig</a> : <span class="keyword">public</span> <a class="code" href="classtvm_1_1runtime_1_1ObjectRef.html">ObjectRef</a> {</div>
+<div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160; <span class="keyword">public</span>:</div>
+<div class="line"><a name="l00151"></a><span class="lineno"><a class="line" href="classtvm_1_1PrinterConfig.html#a643ddfdf11f3ed02da30740610e0b20f">  151</a></span>&#160;  <span class="keyword">explicit</span> <a class="code" href="classtvm_1_1PrinterConfig.html#a643ddfdf11f3ed02da30740610e0b20f">PrinterConfig</a>(<a class="code" href="classtvm_1_1runtime_1_1Map.html">Map&lt;String, ObjectRef&gt;</a> config_dict = <a class="code" href="classtvm_1_1runtime_1_1Map.html">Map&lt;String, Obje [...]
+<div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160; </div>
+<div class="line"><a name="l00153"></a><span class="lineno"><a class="line" href="classtvm_1_1PrinterConfig.html#a0c3b8496db38588b8c20b387d7238005">  153</a></span>&#160;  <a class="code" href="classtvm_1_1PrinterConfig.html#a0c3b8496db38588b8c20b387d7238005">TVM_DEFINE_MUTABLE_NOTNULLABLE_OBJECT_REF_METHODS</a>(<a class="code" href="classtvm_1_1PrinterConfig.html">PrinterConfig</a>, <a class="code" href="classtvm_1_1runtime_1_1ObjectRef.html">runtime::ObjectRef</a>,</div>
+<div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;                                                    <a class="code" href="classtvm_1_1PrinterConfigNode.html">PrinterConfigNode</a>);</div>
+<div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;};</div>
+<div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160; </div>
+<div class="line"><a name="l00158"></a><span class="lineno"><a class="line" href="classtvm_1_1TVMScriptPrinter.html">  158</a></span>&#160;<span class="keyword">class </span><a class="code" href="classtvm_1_1TVMScriptPrinter.html">TVMScriptPrinter</a> {</div>
+<div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160; <span class="keyword">public</span>:</div>
+<div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;  <span class="comment">/* Convert the object to TVMScript format */</span></div>
+<div class="line"><a name="l00161"></a><span class="lineno"><a class="line" href="classtvm_1_1TVMScriptPrinter.html#a703e7ac95c8a0672506323f6a0ea09f4">  161</a></span>&#160;  <span class="keyword">static</span> std::string <a class="code" href="classtvm_1_1TVMScriptPrinter.html#a703e7ac95c8a0672506323f6a0ea09f4">Script</a>(<span class="keyword">const</span> <a class="code" href="classtvm_1_1runtime_1_1ObjectRef.html">ObjectRef</a>&amp; node, <span class="keyword">const</span> <a class="c [...]
+<div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;  <span class="comment">// Allow registration to be printer.</span></div>
+<div class="line"><a name="l00163"></a><span class="lineno"><a class="line" href="classtvm_1_1TVMScriptPrinter.html#ab2a101e190f9ef724a5d5b6403db6f56">  163</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classtvm_1_1NodeFunctor.html">FType</a> = <a class="code" href="classtvm_1_1NodeFunctor.html">NodeFunctor</a>&lt;std::string(<span class="keyword">const</span> <a class="code" href="classtvm_1_1runtime_1_1ObjectRef.html">ObjectRef</a>&amp;, <span class="keywor [...]
+<div class="line"><a name="l00164"></a><span class="lineno"><a class="line" href="classtvm_1_1TVMScriptPrinter.html#a7fa01f3febf489e9e72ce1af12d05e76">  164</a></span>&#160;  TVM_DLL <span class="keyword">static</span> <a class="code" href="classtvm_1_1NodeFunctor.html">FType</a>&amp; <a class="code" href="classtvm_1_1TVMScriptPrinter.html#a7fa01f3febf489e9e72ce1af12d05e76">vtable</a>();</div>
+<div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;};</div>
+<div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160; </div>
+<div class="line"><a name="l00167"></a><span class="lineno"><a class="line" href="script__printer_8h.html#aeb27774525547e9a0656235a3506bbed">  167</a></span>&#160;<span class="preprocessor">#define TVM_OBJECT_ENABLE_SCRIPT_PRINTER()                                                      \</span></div>
+<div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;<span class="preprocessor">  std::string Script(const Optional&lt;PrinterConfig&gt;&amp; config = NullOpt) const {                   \</span></div>
+<div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;<span class="preprocessor">    return TVMScriptPrinter::Script(GetRef&lt;ObjectRef&gt;(this), config.value_or(PrinterConfig())); \</span></div>
+<div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;<span class="preprocessor">  }</span></div>
+<div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160; </div>
+<div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;}  <span class="comment">// namespace tvm</span></div>
+<div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;<span class="preprocessor">#endif  </span><span class="comment">// TVM_NODE_SCRIPT_PRINTER_H_</span></div>
 <div class="ttc" id="aclasstvm_1_1AttrVisitor_html"><div class="ttname"><a href="classtvm_1_1AttrVisitor.html">tvm::AttrVisitor</a></div><div class="ttdoc">Visitor class to get the attributes of an AST/IR node. The content is going to be called for each fie...</div><div class="ttdef"><b>Definition:</b> reflection.h:52</div></div>
 <div class="ttc" id="aclasstvm_1_1NodeFunctor_html"><div class="ttname"><a href="classtvm_1_1NodeFunctor.html">tvm::NodeFunctor</a></div><div class="ttdoc">A dynamically dispatched functor on the type of the first argument.</div><div class="ttdef"><b>Definition:</b> functor.h:64</div></div>
 <div class="ttc" id="aclasstvm_1_1PrinterConfigNode_html"><div class="ttname"><a href="classtvm_1_1PrinterConfigNode.html">tvm::PrinterConfigNode</a></div><div class="ttdef"><b>Definition:</b> script_printer.h:36</div></div>
-<div class="ttc" id="aclasstvm_1_1PrinterConfigNode_html_a0e0accb21b68ee692b61db436558297f"><div class="ttname"><a href="classtvm_1_1PrinterConfigNode.html#a0e0accb21b68ee692b61db436558297f">tvm::PrinterConfigNode::_type_key</a></div><div class="ttdeci">static constexpr const char * _type_key</div><div class="ttdef"><b>Definition:</b> script_printer.h:143</div></div>
+<div class="ttc" id="aclasstvm_1_1PrinterConfigNode_html_a0e0accb21b68ee692b61db436558297f"><div class="ttname"><a href="classtvm_1_1PrinterConfigNode.html#a0e0accb21b68ee692b61db436558297f">tvm::PrinterConfigNode::_type_key</a></div><div class="ttdeci">static constexpr const char * _type_key</div><div class="ttdef"><b>Definition:</b> script_printer.h:145</div></div>
 <div class="ttc" id="aclasstvm_1_1PrinterConfigNode_html_a2148a7bfe39c1cc3c645da5a00fc122c"><div class="ttname"><a href="classtvm_1_1PrinterConfigNode.html#a2148a7bfe39c1cc3c645da5a00fc122c">tvm::PrinterConfigNode::tir_prefix</a></div><div class="ttdeci">std::string tir_prefix</div><div class="ttdoc">The prefix of TIR nodes.</div><div class="ttdef"><b>Definition:</b> script_printer.h:45</div></div>
 <div class="ttc" id="aclasstvm_1_1PrinterConfigNode_html_a326fadb110a4356ccd783ed0e0b26733"><div class="ttname"><a href="classtvm_1_1PrinterConfigNode.html#a326fadb110a4356ccd783ed0e0b26733">tvm::PrinterConfigNode::print_line_numbers</a></div><div class="ttdeci">bool print_line_numbers</div><div class="ttdoc">Whether to print line numbers.</div><div class="ttdef"><b>Definition:</b> script_printer.h:68</div></div>
 <div class="ttc" id="aclasstvm_1_1PrinterConfigNode_html_a3a31aed496a61837309b9e1a9c7803fc"><div class="ttname"><a href="classtvm_1_1PrinterConfigNode.html#a3a31aed496a61837309b9e1a9c7803fc">tvm::PrinterConfigNode::GetBuiltinKeywords</a></div><div class="ttdeci">Array&lt; String &gt; GetBuiltinKeywords()</div></div>
 <div class="ttc" id="aclasstvm_1_1PrinterConfigNode_html_a413eca72f3a8ae62d5adbbf43066fd5a"><div class="ttname"><a href="classtvm_1_1PrinterConfigNode.html#a413eca72f3a8ae62d5adbbf43066fd5a">tvm::PrinterConfigNode::int_dtype</a></div><div class="ttdeci">DataType int_dtype</div><div class="ttdoc">Default data type of integer literals.</div><div class="ttdef"><b>Definition:</b> script_printer.h:56</div></div>
 <div class="ttc" id="aclasstvm_1_1PrinterConfigNode_html_a434403f4e4cb71c75a7be8cba4845901"><div class="ttname"><a href="classtvm_1_1PrinterConfigNode.html#a434403f4e4cb71c75a7be8cba4845901">tvm::PrinterConfigNode::verbose_expr</a></div><div class="ttdeci">bool verbose_expr</div><div class="ttdoc">Whether or not to verbose print expressions.</div><div class="ttdef"><b>Definition:</b> script_printer.h:64</div></div>
 <div class="ttc" id="aclasstvm_1_1PrinterConfigNode_html_a518824def075339074d4451a79e3dd9b"><div class="ttname"><a href="classtvm_1_1PrinterConfigNode.html#a518824def075339074d4451a79e3dd9b">tvm::PrinterConfigNode::syntax_sugar</a></div><div class="ttdeci">bool syntax_sugar</div><div class="ttdoc">Whether to output with syntax sugar, set false for complete printing.</div><div class="ttdef"><b>Definition:</b> script_printer.h:72</div></div>
-<div class="ttc" id="aclasstvm_1_1PrinterConfigNode_html_a76b205891ecf851435a83513a514e1d3"><div class="ttname"><a href="classtvm_1_1PrinterConfigNode.html#a76b205891ecf851435a83513a514e1d3">tvm::PrinterConfigNode::obj_to_underline</a></div><div class="ttdeci">Array&lt; ObjectRef &gt; obj_to_underline</div><div class="ttdoc">Object to be underlined.</div><div class="ttdef"><b>Definition:</b> script_printer.h:114</div></div>
-<div class="ttc" id="aclasstvm_1_1PrinterConfigNode_html_a7f7bc968aa55a07fb6b10a835c824de7"><div class="ttname"><a href="classtvm_1_1PrinterConfigNode.html#a7f7bc968aa55a07fb6b10a835c824de7">tvm::PrinterConfigNode::show_all_struct_info</a></div><div class="ttdeci">bool show_all_struct_info</div><div class="ttdoc">In Relax, whether to show all StructInfo annotations.</div><div class="ttdef"><b>Definition:</b> script_printer.h:107</div></div>
+<div class="ttc" id="aclasstvm_1_1PrinterConfigNode_html_a76b205891ecf851435a83513a514e1d3"><div class="ttname"><a href="classtvm_1_1PrinterConfigNode.html#a76b205891ecf851435a83513a514e1d3">tvm::PrinterConfigNode::obj_to_underline</a></div><div class="ttdeci">Array&lt; ObjectRef &gt; obj_to_underline</div><div class="ttdoc">Object to be underlined.</div><div class="ttdef"><b>Definition:</b> script_printer.h:116</div></div>
+<div class="ttc" id="aclasstvm_1_1PrinterConfigNode_html_a7f7bc968aa55a07fb6b10a835c824de7"><div class="ttname"><a href="classtvm_1_1PrinterConfigNode.html#a7f7bc968aa55a07fb6b10a835c824de7">tvm::PrinterConfigNode::show_all_struct_info</a></div><div class="ttdeci">bool show_all_struct_info</div><div class="ttdoc">In Relax, whether to show all StructInfo annotations.</div><div class="ttdef"><b>Definition:</b> script_printer.h:109</div></div>
 <div class="ttc" id="aclasstvm_1_1PrinterConfigNode_html_a895ea453f71467ba1ff0f0febbec410f"><div class="ttname"><a href="classtvm_1_1PrinterConfigNode.html#a895ea453f71467ba1ff0f0febbec410f">tvm::PrinterConfigNode::show_object_address</a></div><div class="ttdeci">bool show_object_address</div><div class="ttdoc">Whether variable names should include the object's address.</div><div class="ttdef"><b>Definition:</b> script_printer.h:74</div></div>
 <div class="ttc" id="aclasstvm_1_1PrinterConfigNode_html_a91c90f8090acb5b755c0ba3066e6fb74"><div class="ttname"><a href="classtvm_1_1PrinterConfigNode.html#a91c90f8090acb5b755c0ba3066e6fb74">tvm::PrinterConfigNode::indent_spaces</a></div><div class="ttdeci">int indent_spaces</div><div class="ttdoc">Number of spaces used for indentation.</div><div class="ttdef"><b>Definition:</b> script_printer.h:66</div></div>
 <div class="ttc" id="aclasstvm_1_1PrinterConfigNode_html_a977a3ed2d33dfff1c124a770840f973c"><div class="ttname"><a href="classtvm_1_1PrinterConfigNode.html#a977a3ed2d33dfff1c124a770840f973c">tvm::PrinterConfigNode::num_context_lines</a></div><div class="ttdeci">int num_context_lines</div><div class="ttdoc">Number of context lines to print around the underlined text.</div><div class="ttdef"><b>Definition:</b> script_printer.h:70</div></div>
 <div class="ttc" id="aclasstvm_1_1PrinterConfigNode_html_aa11acd5d0e720eda7619ae1c7baa8c2c"><div class="ttname"><a href="classtvm_1_1PrinterConfigNode.html#aa11acd5d0e720eda7619ae1c7baa8c2c">tvm::PrinterConfigNode::show_meta</a></div><div class="ttdeci">bool show_meta</div><div class="ttdoc">Whether or not to show metadata.</div><div class="ttdef"><b>Definition:</b> script_printer.h:41</div></div>
 <div class="ttc" id="aclasstvm_1_1PrinterConfigNode_html_ab16ceb4c8fb205dbd8493273cedd5326"><div class="ttname"><a href="classtvm_1_1PrinterConfigNode.html#ab16ceb4c8fb205dbd8493273cedd5326">tvm::PrinterConfigNode::relax_prefix</a></div><div class="ttdeci">std::string relax_prefix</div><div class="ttdoc">The prefix of Relax nodes.</div><div class="ttdef"><b>Definition:</b> script_printer.h:47</div></div>
-<div class="ttc" id="aclasstvm_1_1PrinterConfigNode_html_abd7af285839fe88e48b6ff879d19bfed"><div class="ttname"><a href="classtvm_1_1PrinterConfigNode.html#abd7af285839fe88e48b6ff879d19bfed">tvm::PrinterConfigNode::obj_to_annotate</a></div><div class="ttdeci">Map&lt; ObjectRef, String &gt; obj_to_annotate</div><div class="ttdoc">Object to be annotated.</div><div class="ttdef"><b>Definition:</b> script_printer.h:116</div></div>
+<div class="ttc" id="aclasstvm_1_1PrinterConfigNode_html_abd7af285839fe88e48b6ff879d19bfed"><div class="ttname"><a href="classtvm_1_1PrinterConfigNode.html#abd7af285839fe88e48b6ff879d19bfed">tvm::PrinterConfigNode::obj_to_annotate</a></div><div class="ttdeci">Map&lt; ObjectRef, String &gt; obj_to_annotate</div><div class="ttdoc">Object to be annotated.</div><div class="ttdef"><b>Definition:</b> script_printer.h:118</div></div>
 <div class="ttc" id="aclasstvm_1_1PrinterConfigNode_html_ac20912a4c37fd43e1c42e4b874f66aa1"><div class="ttname"><a href="classtvm_1_1PrinterConfigNode.html#ac20912a4c37fd43e1c42e4b874f66aa1">tvm::PrinterConfigNode::binding_names</a></div><div class="ttdeci">Array&lt; String &gt; binding_names</div><div class="ttdoc">A stack that tracks the names of the binding hierarchy.</div><div class="ttdef"><b>Definition:</b> script_printer.h:39</div></div>
 <div class="ttc" id="aclasstvm_1_1PrinterConfigNode_html_ac448fdfedc5307fdd0fd7c63601398c6"><div class="ttname"><a href="classtvm_1_1PrinterConfigNode.html#ac448fdfedc5307fdd0fd7c63601398c6">tvm::PrinterConfigNode::float_dtype</a></div><div class="ttdeci">DataType float_dtype</div><div class="ttdoc">Default data type of float literals. Right now we always print out the explicit type of floating poin...</div><div class="ttdef"><b>Definition:</b> script_printer.h:62</div></div>
 <div class="ttc" id="aclasstvm_1_1PrinterConfigNode_html_ae0dade6b77f9b31d60fc3d7180cf5a39"><div class="ttname"><a href="classtvm_1_1PrinterConfigNode.html#ae0dade6b77f9b31d60fc3d7180cf5a39">tvm::PrinterConfigNode::module_alias</a></div><div class="ttdeci">std::string module_alias</div><div class="ttdoc">The alias of the current module at cross-function call.</div><div class="ttdef"><b>Definition:</b> script_printer.h:52</div></div>
 <div class="ttc" id="aclasstvm_1_1PrinterConfigNode_html_aea1a1880a6566f3088af1e2c69ae2b05"><div class="ttname"><a href="classtvm_1_1PrinterConfigNode.html#aea1a1880a6566f3088af1e2c69ae2b05">tvm::PrinterConfigNode::buffer_dtype</a></div><div class="ttdeci">DataType buffer_dtype</div><div class="ttdoc">Default data type of TIR buffer.</div><div class="ttdef"><b>Definition:</b> script_printer.h:54</div></div>
 <div class="ttc" id="aclasstvm_1_1PrinterConfigNode_html_aed421283ca0da143c00c111d6dca7926"><div class="ttname"><a href="classtvm_1_1PrinterConfigNode.html#aed421283ca0da143c00c111d6dca7926">tvm::PrinterConfigNode::TVM_DECLARE_FINAL_OBJECT_INFO</a></div><div class="ttdeci">TVM_DECLARE_FINAL_OBJECT_INFO(PrinterConfigNode, Object)</div></div>
-<div class="ttc" id="aclasstvm_1_1PrinterConfigNode_html_aefd5b3373f4765540f0e11e78baf693d"><div class="ttname"><a href="classtvm_1_1PrinterConfigNode.html#aefd5b3373f4765540f0e11e78baf693d">tvm::PrinterConfigNode::path_to_annotate</a></div><div class="ttdeci">Map&lt; ObjectPath, String &gt; path_to_annotate</div><div class="ttdoc">Object path to be annotated.</div><div class="ttdef"><b>Definition:</b> script_printer.h:112</div></div>
-<div class="ttc" id="aclasstvm_1_1PrinterConfigNode_html_af560db7326ce64454f992c9828f4fce8"><div class="ttname"><a href="classtvm_1_1PrinterConfigNode.html#af560db7326ce64454f992c9828f4fce8">tvm::PrinterConfigNode::VisitAttrs</a></div><div class="ttdeci">void VisitAttrs(AttrVisitor *v)</div><div class="ttdef"><b>Definition:</b> script_printer.h:118</div></div>
-<div class="ttc" id="aclasstvm_1_1PrinterConfigNode_html_af9c9ea98dd1057e3841228292643ec5e"><div class="ttname"><a href="classtvm_1_1PrinterConfigNode.html#af9c9ea98dd1057e3841228292643ec5e">tvm::PrinterConfigNode::path_to_underline</a></div><div class="ttdeci">Array&lt; ObjectPath &gt; path_to_underline</div><div class="ttdef"><b>Definition:</b> script_printer.h:110</div></div>
+<div class="ttc" id="aclasstvm_1_1PrinterConfigNode_html_aefd5b3373f4765540f0e11e78baf693d"><div class="ttname"><a href="classtvm_1_1PrinterConfigNode.html#aefd5b3373f4765540f0e11e78baf693d">tvm::PrinterConfigNode::path_to_annotate</a></div><div class="ttdeci">Map&lt; ObjectPath, String &gt; path_to_annotate</div><div class="ttdoc">Object path to be annotated.</div><div class="ttdef"><b>Definition:</b> script_printer.h:114</div></div>
+<div class="ttc" id="aclasstvm_1_1PrinterConfigNode_html_af560db7326ce64454f992c9828f4fce8"><div class="ttname"><a href="classtvm_1_1PrinterConfigNode.html#af560db7326ce64454f992c9828f4fce8">tvm::PrinterConfigNode::VisitAttrs</a></div><div class="ttdeci">void VisitAttrs(AttrVisitor *v)</div><div class="ttdef"><b>Definition:</b> script_printer.h:120</div></div>
+<div class="ttc" id="aclasstvm_1_1PrinterConfigNode_html_af9c9ea98dd1057e3841228292643ec5e"><div class="ttname"><a href="classtvm_1_1PrinterConfigNode.html#af9c9ea98dd1057e3841228292643ec5e">tvm::PrinterConfigNode::path_to_underline</a></div><div class="ttdeci">Array&lt; ObjectPath &gt; path_to_underline</div><div class="ttdef"><b>Definition:</b> script_printer.h:112</div></div>
 <div class="ttc" id="aclasstvm_1_1PrinterConfigNode_html_afeed5ce9bf46b8e845dfd027103ef24b"><div class="ttname"><a href="classtvm_1_1PrinterConfigNode.html#afeed5ce9bf46b8e845dfd027103ef24b">tvm::PrinterConfigNode::ir_prefix</a></div><div class="ttdeci">std::string ir_prefix</div><div class="ttdoc">The prefix of IR nodes.</div><div class="ttdef"><b>Definition:</b> script_printer.h:43</div></div>
-<div class="ttc" id="aclasstvm_1_1PrinterConfig_html"><div class="ttname"><a href="classtvm_1_1PrinterConfig.html">tvm::PrinterConfig</a></div><div class="ttdef"><b>Definition:</b> script_printer.h:147</div></div>
+<div class="ttc" id="aclasstvm_1_1PrinterConfig_html"><div class="ttname"><a href="classtvm_1_1PrinterConfig.html">tvm::PrinterConfig</a></div><div class="ttdef"><b>Definition:</b> script_printer.h:149</div></div>
 <div class="ttc" id="aclasstvm_1_1PrinterConfig_html_a0c3b8496db38588b8c20b387d7238005"><div class="ttname"><a href="classtvm_1_1PrinterConfig.html#a0c3b8496db38588b8c20b387d7238005">tvm::PrinterConfig::TVM_DEFINE_MUTABLE_NOTNULLABLE_OBJECT_REF_METHODS</a></div><div class="ttdeci">TVM_DEFINE_MUTABLE_NOTNULLABLE_OBJECT_REF_METHODS(PrinterConfig, runtime::ObjectRef, PrinterConfigNode)</div></div>
 <div class="ttc" id="aclasstvm_1_1PrinterConfig_html_a643ddfdf11f3ed02da30740610e0b20f"><div class="ttname"><a href="classtvm_1_1PrinterConfig.html#a643ddfdf11f3ed02da30740610e0b20f">tvm::PrinterConfig::PrinterConfig</a></div><div class="ttdeci">PrinterConfig(Map&lt; String, ObjectRef &gt; config_dict=Map&lt; String, ObjectRef &gt;())</div></div>
-<div class="ttc" id="aclasstvm_1_1TVMScriptPrinter_html"><div class="ttname"><a href="classtvm_1_1TVMScriptPrinter.html">tvm::TVMScriptPrinter</a></div><div class="ttdoc">Legacy behavior of ReprPrinter.</div><div class="ttdef"><b>Definition:</b> script_printer.h:156</div></div>
+<div class="ttc" id="aclasstvm_1_1TVMScriptPrinter_html"><div class="ttname"><a href="classtvm_1_1TVMScriptPrinter.html">tvm::TVMScriptPrinter</a></div><div class="ttdoc">Legacy behavior of ReprPrinter.</div><div class="ttdef"><b>Definition:</b> script_printer.h:158</div></div>
 <div class="ttc" id="aclasstvm_1_1TVMScriptPrinter_html_a703e7ac95c8a0672506323f6a0ea09f4"><div class="ttname"><a href="classtvm_1_1TVMScriptPrinter.html#a703e7ac95c8a0672506323f6a0ea09f4">tvm::TVMScriptPrinter::Script</a></div><div class="ttdeci">static std::string Script(const ObjectRef &amp;node, const Optional&lt; PrinterConfig &gt; &amp;cfg)</div></div>
 <div class="ttc" id="aclasstvm_1_1TVMScriptPrinter_html_a7fa01f3febf489e9e72ce1af12d05e76"><div class="ttname"><a href="classtvm_1_1TVMScriptPrinter.html#a7fa01f3febf489e9e72ce1af12d05e76">tvm::TVMScriptPrinter::vtable</a></div><div class="ttdeci">static FType &amp; vtable()</div></div>
 <div class="ttc" id="aclasstvm_1_1runtime_1_1Array_html"><div class="ttname"><a href="classtvm_1_1runtime_1_1Array.html">tvm::runtime::Array</a></div><div class="ttdoc">Array, container representing a contiguous sequence of ObjectRefs.</div><div class="ttdef"><b>Definition:</b> array.h:289</div></div>
diff --git a/docs/reference/api/python/auto_scheduler.html b/docs/reference/api/python/auto_scheduler.html
index e495af1547..859afff29a 100644
--- a/docs/reference/api/python/auto_scheduler.html
+++ b/docs/reference/api/python/auto_scheduler.html
@@ -1637,7 +1637,7 @@ history states as starting point to perform Evolutionary Search).</p></li>
 
 <dl class="py class">
 <dt class="sig sig-object py" id="tvm.auto_scheduler.SketchPolicy">
-<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">tvm.auto_scheduler.</span></span><span class="sig-name descname"><span class="pre">SketchPolicy</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">task</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">program_cost_model</span></span><span class="o"><span class="pre">=</span></span><span class="defau [...]
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">tvm.auto_scheduler.</span></span><span class="sig-name descname"><span class="pre">SketchPolicy</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">task</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">program_cost_model</span></span><span class="o"><span class="pre">=</span></span><span class="defau [...]
 <dd><p>The search policy that searches in a hierarchical search space defined by sketches.
 The policy randomly samples programs from the space defined by sketches and use evolutionary
 search to fine-tune them.</p>
@@ -1921,7 +1921,7 @@ Candidates:
 
 <dl class="py function">
 <dt class="sig sig-object py" id="tvm.auto_scheduler.auto_schedule">
-<span class="sig-prename descclassname"><span class="pre">tvm.auto_scheduler.</span></span><span class="sig-name descname"><span class="pre">auto_schedule</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">task</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">search_policy</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em clas [...]
+<span class="sig-prename descclassname"><span class="pre">tvm.auto_scheduler.</span></span><span class="sig-name descname"><span class="pre">auto_schedule</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">task</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">search_policy</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em clas [...]
 <dd><p>THIS API IS DEPRECATED.</p>
 <p>Run auto scheduling search for a task.</p>
 <dl class="field-list simple">
diff --git a/docs/reference/api/typedoc/classes/ArtifactCache.html b/docs/reference/api/typedoc/classes/ArtifactCache.html
index 0be2d7b1fb..6fb80e61c2 100644
--- a/docs/reference/api/typedoc/classes/ArtifactCache.html
+++ b/docs/reference/api/typedoc/classes/ArtifactCache.html
@@ -23,7 +23,7 @@
 <ul class="tsd-hierarchy">
 <li><span class="target">ArtifactCache</span></li></ul></section><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L991">runtime.ts:991</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L991">runtime.ts:991</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">
@@ -52,7 +52,7 @@
 <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/1a01102f8/web/src/runtime.ts#L995">runtime.ts:995</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L995">runtime.ts:995</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="fetchWithCache" class="tsd-anchor"></a>
@@ -67,7 +67,7 @@
 <h5><span class="tsd-kind-parameter">url</span>: <span class="tsd-signature-type">string</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type ">Response</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/1a01102f8/web/src/runtime.ts#L999">runtime.ts:999</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L999">runtime.ts:999</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">
@@ -80,7 +80,7 @@
 <h5><span class="tsd-kind-parameter">keys</span>: <span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">[]</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">boolean</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/1a01102f8/web/src/runtime.ts#L1015">runtime.ts:1015</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L1015">runtime.ts:1015</a></li></ul></aside></li></ul></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/DLDataType.html b/docs/reference/api/typedoc/classes/DLDataType.html
index 30ba86329f..b08b37b1c1 100644
--- a/docs/reference/api/typedoc/classes/DLDataType.html
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L401">runtime.ts:401</a></li></ul></aside>
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 <h4 class="tsd-returns-title">Returns <a href="DLDataType.html" class="tsd-signature-type tsd-kind-class">DLDataType</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L409">runtime.ts:409</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L409">runtime.ts:409</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>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L405">runtime.ts:405</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L405">runtime.ts:405</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>
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 <div class="tsd-comment tsd-typography"><p>The type code</p>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L403">runtime.ts:403</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L403">runtime.ts:403</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>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L407">runtime.ts:407</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L407">runtime.ts:407</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="numStorageBytes" class="tsd-anchor"></a>
@@ -95,7 +95,7 @@
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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/1a01102f8/web/src/runtime.ts#L424">runtime.ts:424</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L424">runtime.ts:424</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="toString" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>to<wbr/>String</span><a href="#toString" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -103,7 +103,7 @@
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">string</span></h4><aside class="tsd-sources">
 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L415">runtime.ts:415</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/DLDevice.html b/docs/reference/api/typedoc/classes/DLDevice.html
index 911f3a544e..3b36197cf1 100644
--- a/docs/reference/api/typedoc/classes/DLDevice.html
+++ b/docs/reference/api/typedoc/classes/DLDevice.html
@@ -23,7 +23,7 @@
 <ul class="tsd-hierarchy">
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L341">runtime.ts:341</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L341">runtime.ts:341</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
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@@ -61,7 +61,7 @@
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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/1a01102f8/web/src/runtime.ts#L349">runtime.ts:349</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L349">runtime.ts:349</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="deviceId" class="tsd-anchor"></a>
@@ -70,14 +70,14 @@
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L345">runtime.ts:345</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L345">runtime.ts:345</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/1a01102f8/web/src/runtime.ts#L343">runtime.ts:343</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L343">runtime.ts:343</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/1a01102f8/web/src/runtime.ts#L368">runtime.ts:368</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L368">runtime.ts:368</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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@@ -97,7 +97,7 @@
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L375">runtime.ts:375</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L375">runtime.ts:375</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/Instance.html b/docs/reference/api/typedoc/classes/Instance.html
index de894e18b2..2bcf44d248 100644
--- a/docs/reference/api/typedoc/classes/Instance.html
+++ b/docs/reference/api/typedoc/classes/Instance.html
@@ -40,7 +40,7 @@ are not tracked through JS native garbage collection mechanism.</p>
 <ul class="tsd-hierarchy">
 <li><a href="../interfaces/Disposable.html" class="tsd-signature-type tsd-kind-interface">Disposable</a></li></ul></section><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L1043">runtime.ts:1043</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L1043">runtime.ts:1043</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
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@@ -140,24 +140,24 @@ a WASI object, or an object containing wasmLibraryProvider field.</p>
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 <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/1a01102f8/web/src/runtime.ts#L1072">runtime.ts:1072</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L1072">runtime.ts:1072</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/1a01102f8/web/src/runtime.ts#L1046">runtime.ts:1046</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L1046">runtime.ts:1046</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/1a01102f8/web/src/runtime.ts#L1045">runtime.ts:1045</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L1045">runtime.ts:1045</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/1a01102f8/web/src/runtime.ts#L1044">runtime.ts:1044</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L1044">runtime.ts:1044</a></li></ul></aside></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Methods</h2>
 <section class="tsd-panel tsd-member"><a id="applyPresenceAndFrequencyPenalty" class="tsd-anchor"></a>
@@ -193,7 +193,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">any</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L1772">runtime.ts:1772</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L1772">runtime.ts:1772</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="applyRepetitionPenalty" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>apply<wbr/>Repetition<wbr/>Penalty</span><a href="#applyRepetitionPenalty" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -218,7 +218,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">any</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L1759">runtime.ts:1759</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L1759">runtime.ts:1759</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="applySoftmaxWithTemperature" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>apply<wbr/>Softmax<wbr/>With<wbr/>Temperature</span><a href="#applySoftmaxWithTemperature" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -239,7 +239,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">any</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L1789">runtime.ts:1789</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L1789">runtime.ts:1789</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="asyncLoadWebGPUPipelines" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>async<wbr/>Load<wbr/>WebGPUPipelines</span><a href="#asyncLoadWebGPUPipelines" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -256,7 +256,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">void</span><span class="tsd-signature-symbol">&gt;</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L1947">runtime.ts:1947</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L1947">runtime.ts:1947</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="attachToCurrentScope" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>attach<wbr/>To<wbr/>Current<wbr/>Scope</span><a href="#attachToCurrentScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -283,7 +283,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type tsd-kind-type-parameter">T</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/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/67bd739be/web/src/runtime.ts#L1195">runtime.ts:1195</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="beginScope" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>begin<wbr/>Scope</span><a href="#beginScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -293,7 +293,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 </div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L1154">runtime.ts:1154</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L1154">runtime.ts:1154</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="benchmark" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>benchmark</span><a href="#benchmark" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -328,7 +328,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 <h5><span class="tsd-kind-parameter">repeat</span>: <span class="tsd-signature-type">number</span><span class="tsd-signature-symbol"> = 1</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">[]</span><span class="tsd-signature-symbol">&gt;</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L1113">runtime.ts:1113</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L1113">runtime.ts:1113</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="bindCanvas" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>bind<wbr/>Canvas</span><a href="#bindCanvas" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -345,7 +345,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L1797">runtime.ts:1797</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L1797">runtime.ts:1797</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="clearCanvas" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>clear<wbr/>Canvas</span><a href="#clearCanvas" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -355,7 +355,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 </div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L1828">runtime.ts:1828</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L1828">runtime.ts:1828</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="cpu" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>cpu</span><a href="#cpu" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -372,7 +372,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <a href="DLDevice.html" class="tsd-signature-type tsd-kind-class">DLDevice</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L1657">runtime.ts:1657</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L1657">runtime.ts:1657</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="createVirtualMachine" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>create<wbr/>Virtual<wbr/>Machine</span><a href="#createVirtualMachine" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -390,7 +390,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
 <h4 class="tsd-returns-title">Returns <a href="VirtualMachine.html" class="tsd-signature-type tsd-kind-class">VirtualMachine</a></h4><p>The created virtual machime.</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L1373">runtime.ts:1373</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L1373">runtime.ts:1373</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="detachFromCurrentScope" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>detach<wbr/>From<wbr/>Current<wbr/>Scope</span><a href="#detachFromCurrentScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -416,7 +416,7 @@ so it won&#39;t be released via auto-release during endscope.</p>
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type tsd-kind-type-parameter">T</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L1222">runtime.ts:1222</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L1222">runtime.ts:1222</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="device" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>device</span><a href="#device" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -438,7 +438,7 @@ so it won&#39;t be released via auto-release during endscope.</p>
 <h4 class="tsd-returns-title">Returns <a href="DLDevice.html" class="tsd-signature-type tsd-kind-class">DLDevice</a></h4><p>The created device.</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L1649">runtime.ts:1649</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L1649">runtime.ts:1649</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>dispose</span><a href="#dispose" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -451,7 +451,7 @@ only the first call will take effect.</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L1134">runtime.ts:1134</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L1134">runtime.ts:1134</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="empty" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>empty</span><a href="#empty" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -477,7 +477,7 @@ only the first call will take effect.</p>
 <h4 class="tsd-returns-title">Returns <a href="NDArray.html" class="tsd-signature-type tsd-kind-class">NDArray</a></h4><p>The created ndarray.</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L1677">runtime.ts:1677</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L1677">runtime.ts:1677</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="endScope" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>end<wbr/>Scope</span><a href="#endScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -490,7 +490,7 @@ a value to parent scope.</p>
 </div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L1165">runtime.ts:1165</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L1165">runtime.ts:1165</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="fetchNDArrayCache" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>fetchNDArray<wbr/>Cache</span><a href="#fetchNDArrayCache" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -516,7 +516,7 @@ a value to parent scope.</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">any</span><span class="tsd-signature-symbol">&gt;</span></h4><p>The meta data</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L1464">runtime.ts:1464</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L1464">runtime.ts:1464</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getGlobalFunc" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Global<wbr/>Func</span><a href="#getGlobalFunc" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -534,7 +534,7 @@ a value to parent scope.</p>
 <h4 class="tsd-returns-title">Returns <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></h4><p>The result function.</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L1310">runtime.ts:1310</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L1310">runtime.ts:1310</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getParamsFromCache" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Params<wbr/>From<wbr/>Cache</span><a href="#getParamsFromCache" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -555,7 +555,7 @@ a value to parent scope.</p>
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 <h4 class="tsd-returns-title">Returns <a href="TVMObject.html" class="tsd-signature-type tsd-kind-class">TVMObject</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L1401">runtime.ts:1401</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L1401">runtime.ts:1401</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getParamsFromCacheByName" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Params<wbr/>From<wbr/>Cache<wbr/>By<wbr/>Name</span><a href="#getParamsFromCacheByName" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -573,7 +573,7 @@ a value to parent scope.</p>
 <h4 class="tsd-returns-title">Returns <a href="TVMObject.html" class="tsd-signature-type tsd-kind-class">TVMObject</a></h4><p>Parameters read.</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L1412">runtime.ts:1412</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L1412">runtime.ts:1412</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="initWebGPU" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>init<wbr/>WebGPU</span><a href="#initWebGPU" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -590,7 +590,7 @@ a value to parent scope.</p>
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L2012">runtime.ts:2012</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L2012">runtime.ts:2012</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="isPackedFunc" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>is<wbr/>Packed<wbr/>Func</span><a href="#isPackedFunc" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -608,7 +608,7 @@ a value to parent scope.</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">boolean</span></h4><p>The check result.</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L1345">runtime.ts:1345</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L1345">runtime.ts:1345</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="listGlobalFuncNames" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>list<wbr/>Global<wbr/>Func<wbr/>Names</span><a href="#listGlobalFuncNames" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -619,7 +619,7 @@ a value to parent scope.</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">[]</span></h4><p>The name list.</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L1238">runtime.ts:1238</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L1238">runtime.ts:1238</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="makeShapeTuple" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>make<wbr/>Shape<wbr/>Tuple</span><a href="#makeShapeTuple" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -637,7 +637,7 @@ a value to parent scope.</p>
 <h4 class="tsd-returns-title">Returns <a href="TVMObject.html" class="tsd-signature-type tsd-kind-class">TVMObject</a></h4><p>The created shape tuple.</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L1862">runtime.ts:1862</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L1862">runtime.ts:1862</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="makeString" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>make<wbr/>String</span><a href="#makeString" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -655,7 +655,7 @@ a value to parent scope.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L1853">runtime.ts:1853</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L1853">runtime.ts:1853</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="makeTVMArray" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>makeTVMArray</span><a href="#makeTVMArray" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -675,7 +675,7 @@ and needs to b explicitly disposed.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L1841">runtime.ts:1841</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L1841">runtime.ts:1841</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="moveToParentScope" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>move<wbr/>To<wbr/>Parent<wbr/>Scope</span><a href="#moveToParentScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -700,7 +700,7 @@ alive when exit the current scope.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L1208">runtime.ts:1208</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L1208">runtime.ts:1208</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="ndarrayCacheClear" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>ndarray<wbr/>Cache<wbr/>Clear</span><a href="#ndarrayCacheClear" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -710,7 +710,7 @@ alive when exit the current scope.</p>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L1452">runtime.ts:1452</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L1452">runtime.ts:1452</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="ndarrayCacheGet" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>ndarray<wbr/>Cache<wbr/>Get</span><a href="#ndarrayCacheGet" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -728,7 +728,7 @@ alive when exit the current scope.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L1425">runtime.ts:1425</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L1425">runtime.ts:1425</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="ndarrayCacheRemove" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>ndarray<wbr/>Cache<wbr/>Remove</span><a href="#ndarrayCacheRemove" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -746,7 +746,7 @@ alive when exit the current scope.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L1434">runtime.ts:1434</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L1434">runtime.ts:1434</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="ndarrayCacheUpdate" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>ndarray<wbr/>Cache<wbr/>Update</span><a href="#ndarrayCacheUpdate" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -769,7 +769,7 @@ alive when exit the current scope.</p>
 <h5><span class="tsd-kind-parameter">override</span>: <span class="tsd-signature-type">boolean</span><span class="tsd-signature-symbol"> = false</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L1443">runtime.ts:1443</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L1443">runtime.ts:1443</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="registerAsyncServerFunc" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>register<wbr/>Async<wbr/>Server<wbr/>Func</span><a href="#registerAsyncServerFunc" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -796,7 +796,7 @@ alive when exit the current scope.</p>
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L1920">runtime.ts:1920</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L1920">runtime.ts:1920</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="registerFunc" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>register<wbr/>Func</span><a href="#registerFunc" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -819,7 +819,7 @@ alive when exit the current scope.</p>
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L1277">runtime.ts:1277</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L1277">runtime.ts:1277</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="registerInitProgressCallback" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>register<wbr/>Init<wbr/>Progress<wbr/>Callback</span><a href="#registerInitProgressCallback" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -836,7 +836,7 @@ alive when exit the current scope.</p>
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L1390">runtime.ts:1390</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L1390">runtime.ts:1390</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="registerObjectConstructor" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>register<wbr/>Object<wbr/>Constructor</span><a href="#registerObjectConstructor" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -861,7 +861,7 @@ alive when exit the current scope.</p>
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L1899">runtime.ts:1899</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L1899">runtime.ts:1899</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="runtimeStatsText" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>runtime<wbr/>Stats<wbr/>Text</span><a href="#runtimeStatsText" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -871,7 +871,7 @@ alive when exit the current scope.</p>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L1143">runtime.ts:1143</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L1143">runtime.ts:1143</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="sampleTopPFromLogits" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>sample<wbr/>TopPFrom<wbr/>Logits</span><a href="#sampleTopPFromLogits" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -897,7 +897,7 @@ alive when exit the current scope.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L1749">runtime.ts:1749</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L1749">runtime.ts:1749</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="scalar" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>scalar</span><a href="#scalar" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -919,7 +919,7 @@ alive when exit the current scope.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L1639">runtime.ts:1639</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L1639">runtime.ts:1639</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>
 <ul class="tsd-signatures">
@@ -949,7 +949,7 @@ Allocate new temporary space from the stack if necessary.</p>
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L2145">runtime.ts:2145</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L2145">runtime.ts:2145</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>
 <ul class="tsd-signatures">
@@ -966,7 +966,7 @@ Allocate new temporary space from the stack if necessary.</p>
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L1806">runtime.ts:1806</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L1806">runtime.ts:1806</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>
 <ul class="tsd-signatures">
@@ -978,7 +978,7 @@ System lib is a global module that contains self register functions in startup.<
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L1231">runtime.ts:1231</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L1231">runtime.ts:1231</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="toDLDataType" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>toDLData<wbr/>Type</span><a href="#toDLDataType" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -996,7 +996,7 @@ System lib is a global module that contains self register functions in startup.<
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L1593">runtime.ts:1593</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L1593">runtime.ts:1593</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="toPackedFunc" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>to<wbr/>Packed<wbr/>Func</span><a href="#toPackedFunc" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -1014,7 +1014,7 @@ System lib is a global module that contains self register functions in startup.<
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L1356">runtime.ts:1356</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L1356">runtime.ts:1356</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="typeKey2Index" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>type<wbr/>Key2<wbr/>Index</span><a href="#typeKey2Index" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -1032,7 +1032,7 @@ System lib is a global module that contains self register functions in startup.<
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L1871">runtime.ts:1871</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L1871">runtime.ts:1871</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="uniform" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>uniform</span><a href="#uniform" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -1062,7 +1062,7 @@ System lib is a global module that contains self register functions in startup.<
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L1723">runtime.ts:1723</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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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L1665">runtime.ts:1665</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="withNewScope" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>with<wbr/>New<wbr/>Scope</span><a href="#withNewScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L1179">runtime.ts:1179</a></li></ul></aside></li></ul></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/Module.html b/docs/reference/api/typedoc/classes/Module.html
index 198c935fa1..67455d885e 100644
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L689">runtime.ts:689</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L689">runtime.ts:689</a></li></ul></aside>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L694">runtime.ts:694</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/1a01102f8/web/src/runtime.ts#L704">runtime.ts:704</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L704">runtime.ts:704</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/67bd739be/web/src/runtime.ts#L732">runtime.ts:732</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getHandle" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Handle</span><a href="#getHandle" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -128,7 +128,7 @@ only the first call will take effect.</p>
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 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L719">runtime.ts:719</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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 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L766">runtime.ts:766</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 f29ba1c49c..c5957a31d4 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/1a01102f8/web/src/runtime.ts#L432">runtime.ts:432</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L432">runtime.ts:432</a></li></ul></aside>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L452">runtime.ts:452</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L452">runtime.ts:452</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/1a01102f8/web/src/runtime.ts#L442">runtime.ts:442</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L442">runtime.ts:442</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/1a01102f8/web/src/runtime.ts#L438">runtime.ts:438</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L438">runtime.ts:438</a></li></ul></aside></section>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L444">runtime.ts:444</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L444">runtime.ts:444</a></li></ul></aside></section>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L436">runtime.ts:436</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L436">runtime.ts:436</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="shape" class="tsd-anchor"></a>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L440">runtime.ts:440</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L440">runtime.ts:440</a></li></ul></aside></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Methods</h2>
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@@ -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/1a01102f8/web/src/runtime.ts#L552">runtime.ts:552</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L552">runtime.ts:552</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="copyFromRawBytes" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>copy<wbr/>From<wbr/>Raw<wbr/>Bytes</span><a href="#copyFromRawBytes" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -152,7 +152,7 @@ The number of elements must match.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L596">runtime.ts:596</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L596">runtime.ts:596</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">
@@ -165,7 +165,7 @@ only the first call will take effect.</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L537">runtime.ts:537</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L537">runtime.ts:537</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getDataPtr" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Data<wbr/>Ptr</span><a href="#getDataPtr" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -176,7 +176,7 @@ only the first call will take effect.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L530">runtime.ts:530</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L530">runtime.ts:530</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getHandle" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Handle</span><a href="#getHandle" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -194,7 +194,7 @@ only the first call will take effect.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L518">runtime.ts:518</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L518">runtime.ts:518</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="toArray" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>to<wbr/>Array</span><a href="#toArray" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -206,7 +206,7 @@ the dtype of the NDArray.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L662">runtime.ts:662</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L662">runtime.ts:662</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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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L631">runtime.ts:631</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="view" class="tsd-anchor"></a>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L507">runtime.ts:507</a></li></ul></aside></li></ul></section></section></div>
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index a4753b6305..77106371fd 100644
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/rpc_server.ts#L77">rpc_server.ts:77</a></li></ul></aside>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/rpc_server.ts#L100">rpc_server.ts:100</a></li></ul></aside></li></ul></section></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/rpc_server.ts#L83">rpc_server.ts:83</a></li></ul></aside></section>
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 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/rpc_server.ts#L79">rpc_server.ts:79</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="logger" class="tsd-anchor"></a>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/rpc_server.ts#L82">rpc_server.ts:82</a></li></ul></aside></section>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/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/67bd739be/web/src/rpc_server.ts#L80">rpc_server.ts:80</a></li></ul></aside></section>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/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/67bd739be/web/src/rpc_server.ts#L81">rpc_server.ts:81</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="url" class="tsd-anchor"></a>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/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/67bd739be/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 0a743236e6..8e8613f717 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/1a01102f8/web/src/runtime.ts#L279">runtime.ts:279</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L279">runtime.ts:279</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
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@@ -55,7 +55,7 @@ argument to PackedFunc calls.</p>
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 <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/1a01102f8/web/src/runtime.ts#L285">runtime.ts:285</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L285">runtime.ts:285</a></li></ul></aside></li></ul></section></section>
 <section class="tsd-panel-group tsd-member-group">
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 <section class="tsd-panel tsd-member"><a id="dtype" class="tsd-anchor"></a>
@@ -64,14 +64,14 @@ argument to PackedFunc calls.</p>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L283">runtime.ts:283</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L283">runtime.ts:283</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="value" class="tsd-anchor"></a>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L281">runtime.ts:281</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 5fc5d0eb49..eddf55f8cd 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/67bd739be/web/src/runtime.ts#L863">runtime.ts:863</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/1a01102f8/web/src/runtime.ts#L864">runtime.ts:864</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L864">runtime.ts:864</a></li></ul></aside></li></ul></section></section>
 <section class="tsd-panel-group tsd-member-group">
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@@ -78,7 +78,7 @@ only the first call will take effect.</p>
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 <p>Inherited from <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#dispose">dispose</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L794">runtime.ts:794</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L794">runtime.ts:794</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>
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@@ -96,7 +96,7 @@ only the first call will take effect.</p>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L883">runtime.ts:883</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L883">runtime.ts:883</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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-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L809">runtime.ts:809</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L809">runtime.ts:809</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/1a01102f8/web/src/runtime.ts#L875">runtime.ts:875</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L875">runtime.ts:875</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/1a01102f8/web/src/runtime.ts#L817">runtime.ts:817</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L817">runtime.ts:817</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member tsd-is-inherited"><a id="typeKey" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>type<wbr/>Key</span><a href="#typeKey" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -147,7 +147,7 @@ only the first call will take effect.</p>
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 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L837">runtime.ts:837</a></li></ul></aside></li></ul></section></section></div>
 <div class="col-sidebar">
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 <div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/TVMObject.html b/docs/reference/api/typedoc/classes/TVMObject.html
index da23b07066..f0bf871875 100644
--- a/docs/reference/api/typedoc/classes/TVMObject.html
+++ b/docs/reference/api/typedoc/classes/TVMObject.html
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L779">runtime.ts:779</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L779">runtime.ts:779</a></li></ul></aside>
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@@ -65,7 +65,7 @@
 <h5><span class="tsd-kind-parameter">ctx</span>: <a href="_internal_.RuntimeContext.html" class="tsd-signature-type tsd-kind-class">RuntimeContext</a></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <a href="TVMObject.html" class="tsd-signature-type tsd-kind-class">TVMObject</a></h4><aside class="tsd-sources">
 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L784">runtime.ts:784</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/1a01102f8/web/src/runtime.ts#L794">runtime.ts:794</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L794">runtime.ts:794</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getHandle" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Handle</span><a href="#getHandle" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -98,7 +98,7 @@ only the first call will take effect.</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L809">runtime.ts:809</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L809">runtime.ts:809</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="typeIndex" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>type<wbr/>Index</span><a href="#typeIndex" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -108,7 +108,7 @@ only the first call will take effect.</p>
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L817">runtime.ts:817</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L817">runtime.ts:817</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="typeKey" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>type<wbr/>Key</span><a href="#typeKey" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -118,7 +118,7 @@ only the first call will take effect.</p>
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">string</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L837">runtime.ts:837</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L837">runtime.ts:837</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 75a8862366..ba4e026ce2 100644
--- a/docs/reference/api/typedoc/classes/VirtualMachine.html
+++ b/docs/reference/api/typedoc/classes/VirtualMachine.html
@@ -30,7 +30,7 @@
 <ul class="tsd-hierarchy">
 <li><a href="../interfaces/Disposable.html" class="tsd-signature-type tsd-kind-interface">Disposable</a></li></ul></section><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L918">runtime.ts:918</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L918">runtime.ts:918</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
 <section class="tsd-panel tsd-index-panel">
 <details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -68,7 +68,7 @@
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 <h4 class="tsd-returns-title">Returns <a href="VirtualMachine.html" class="tsd-signature-type tsd-kind-class">VirtualMachine</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L925">runtime.ts:925</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L925">runtime.ts:925</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/1a01102f8/web/src/runtime.ts#L938">runtime.ts:938</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L938">runtime.ts:938</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getFunction" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Function</span><a href="#getFunction" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -101,7 +101,7 @@ only the first call will take effect.</p>
 <h4 class="tsd-returns-title">Returns <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></h4><p>The result function.</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L946">runtime.ts:946</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L946">runtime.ts:946</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getInternalModule" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>Internal<wbr/>Module</span><a href="#getInternalModule" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -111,7 +111,7 @@ only the first call will take effect.</p>
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 <h4 class="tsd-returns-title">Returns <a href="Module.html" class="tsd-signature-type tsd-kind-class">Module</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L953">runtime.ts:953</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L953">runtime.ts:953</a></li></ul></aside></li></ul></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/_internal_.CachedCallStack.html b/docs/reference/api/typedoc/classes/_internal_.CachedCallStack.html
index b5dc0d4742..706b0b9028 100644
--- a/docs/reference/api/typedoc/classes/_internal_.CachedCallStack.html
+++ b/docs/reference/api/typedoc/classes/_internal_.CachedCallStack.html
@@ -36,7 +36,7 @@ can still call into storeXX</li>
 <ul class="tsd-hierarchy">
 <li><a href="../interfaces/Disposable.html" class="tsd-signature-type tsd-kind-interface">Disposable</a></li></ul></section><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/memory.ts#L206">memory.ts:206</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/memory.ts#L206">memory.ts:206</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
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 <details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -86,7 +86,7 @@ can still call into storeXX</li>
 <h5><span class="tsd-kind-parameter">freeSpace</span>: <a href="../types/_internal_.FTVMWasmFreeSpace.html" class="tsd-signature-type tsd-kind-type-alias">FTVMWasmFreeSpace</a></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <a href="_internal_.CachedCallStack.html" class="tsd-signature-type tsd-kind-class">CachedCallStack</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/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/67bd739be/web/src/memory.ts#L225">memory.ts:225</a></li></ul></aside></li></ul></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Properties</h2>
 <section class="tsd-panel tsd-member"><a id="tempArgs" class="tsd-anchor"></a>
@@ -95,7 +95,7 @@ can still call into storeXX</li>
 <div class="tsd-comment tsd-typography"><p>List of temporay arguments that can be disposed during reset.</p>
 </div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/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/67bd739be/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/1a01102f8/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/67bd739be/web/src/memory.ts#L312">memory.ts:312</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="allocRawBytes" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>alloc<wbr/>Raw<wbr/>Bytes</span><a href="#allocRawBytes" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -134,7 +134,7 @@ can still call into storeXX</li>
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/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/67bd739be/web/src/memory.ts#L284">memory.ts:284</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="allocThenSetArgBytes" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>alloc<wbr/>Then<wbr/>Set<wbr/>Arg<wbr/>Bytes</span><a href="#allocThenSetArgBytes" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -156,7 +156,7 @@ Allocate new temporary space for bytes.</p>
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/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/67bd739be/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/1a01102f8/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/67bd739be/web/src/memory.ts#L377">memory.ts:377</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="commitToWasmMemory" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>commit<wbr/>To<wbr/>Wasm<wbr/>Memory</span><a href="#commitToWasmMemory" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -199,7 +199,7 @@ No further store function should be called.</p>
 </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/1a01102f8/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/67bd739be/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/1a01102f8/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/67bd739be/web/src/memory.ts#L243">memory.ts:243</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="ptrFromOffset" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>ptr<wbr/>From<wbr/>Offset</span><a href="#ptrFromOffset" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -230,7 +230,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
 </div></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/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/67bd739be/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/1a01102f8/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/67bd739be/web/src/memory.ts#L252">memory.ts:252</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="storeF64" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>store<wbr/>F64</span><a href="#storeF64" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -255,7 +255,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
 <h5><span class="tsd-kind-parameter">value</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/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/67bd739be/web/src/memory.ts#L360">memory.ts:360</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="storeI32" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>store<wbr/>I32</span><a href="#storeI32" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -270,7 +270,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
 <h5><span class="tsd-kind-parameter">value</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/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/67bd739be/web/src/memory.ts#L342">memory.ts:342</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="storeI64" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>store<wbr/>I64</span><a href="#storeI64" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -285,7 +285,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/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/67bd739be/web/src/memory.ts#L350">memory.ts:350</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="storePtr" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>store<wbr/>Ptr</span><a href="#storePtr" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -300,7 +300,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/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/67bd739be/web/src/memory.ts#L326">memory.ts:326</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="storeRawBytes" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>store<wbr/>Raw<wbr/>Bytes</span><a href="#storeRawBytes" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -315,7 +315,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/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/67bd739be/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/1a01102f8/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/67bd739be/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/1a01102f8/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/67bd739be/web/src/memory.ts#L334">memory.ts:334</a></li></ul></aside></li></ul></section></section></div>
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 <div class="page-menu">
 <div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/_internal_.CanvasRenderManager.html b/docs/reference/api/typedoc/classes/_internal_.CanvasRenderManager.html
index bb3ff87ee8..a73cf0dbb5 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/1a01102f8/web/src/webgpu.ts#L168">webgpu.ts:168</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/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/1a01102f8/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/67bd739be/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/1a01102f8/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/67bd739be/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/1a01102f8/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/67bd739be/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/1a01102f8/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/67bd739be/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 291c40d636..0d1039c37c 100644
--- a/docs/reference/api/typedoc/classes/_internal_.Environment.html
+++ b/docs/reference/api/typedoc/classes/_internal_.Environment.html
@@ -28,7 +28,7 @@
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 <li><a href="../interfaces/LibraryProvider.html" class="tsd-signature-type tsd-kind-interface">LibraryProvider</a></li></ul></section><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/environment.ts#L68">environment.ts:68</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/environment.ts#L68">environment.ts:68</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
 <section class="tsd-panel tsd-index-panel">
 <details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -76,7 +76,7 @@
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4></li></ul></li></ul></li></ul></div>
 <h4 class="tsd-returns-title">Returns <a href="_internal_.Environment.html" class="tsd-signature-type tsd-kind-class">Environment</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/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/67bd739be/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/1a01102f8/web/src/environment.ts#L70">environment.ts:70</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/environment.ts#L70">environment.ts:70</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="logger" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>logger</span><a href="#logger" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">logger</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">(</span><span class="tsd-signature-symbol">(</span><span class="tsd-kind-parameter">msg</span><span class="tsd-signature-symbol">)</span><span class="tsd-signature-symbol"> =&gt; </span><span class="tsd-signature-type">void</span><span class="tsd-signature-symbol">)</span></div>
@@ -104,7 +104,7 @@
 <h5><span class="tsd-kind-parameter">msg</span>: <span class="tsd-signature-type">string</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4></li></ul></li></ul></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/environment.ts#L69">environment.ts:69</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/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/1a01102f8/web/src/environment.ts#L78">environment.ts:78</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/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/1a01102f8/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/67bd739be/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/1a01102f8/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/67bd739be/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 49c9432d36..0508d338ca 100644
--- a/docs/reference/api/typedoc/classes/_internal_.FFILibrary.html
+++ b/docs/reference/api/typedoc/classes/_internal_.FFILibrary.html
@@ -28,7 +28,7 @@
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 <li><a href="../interfaces/Disposable.html" class="tsd-signature-type tsd-kind-interface">Disposable</a></li></ul></section><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L43">runtime.ts:43</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L43">runtime.ts:43</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
 <section class="tsd-panel tsd-index-panel">
 <details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -69,29 +69,29 @@
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 <h4 class="tsd-returns-title">Returns <a href="_internal_.FFILibrary.html" class="tsd-signature-type tsd-kind-class">FFILibrary</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L51">runtime.ts:51</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L51">runtime.ts:51</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/1a01102f8/web/src/runtime.ts#L46">runtime.ts:46</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L46">runtime.ts:46</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/1a01102f8/web/src/runtime.ts#L45">runtime.ts:45</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L45">runtime.ts:45</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="wasm32" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>wasm32</span><a href="#wasm32" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L44">runtime.ts:44</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L44">runtime.ts:44</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/1a01102f8/web/src/runtime.ts#L47">runtime.ts:47</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L47">runtime.ts:47</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/1a01102f8/web/src/runtime.ts#L77">runtime.ts:77</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L77">runtime.ts:77</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/1a01102f8/web/src/runtime.ts#L66">runtime.ts:66</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L66">runtime.ts:66</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/1a01102f8/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/67bd739be/web/src/runtime.ts#L86">runtime.ts:86</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/1a01102f8/web/src/runtime.ts#L97">runtime.ts:97</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L97">runtime.ts:97</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/1a01102f8/web/src/runtime.ts#L73">runtime.ts:73</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L73">runtime.ts:73</a></li></ul></aside></li></ul></section></section></div>
 <div class="col-sidebar">
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 <div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/_internal_.Memory.html b/docs/reference/api/typedoc/classes/_internal_.Memory.html
index 09079b3481..dc3dd22ae6 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/1a01102f8/web/src/memory.ts#L31">memory.ts:31</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/memory.ts#L31">memory.ts:31</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
 <section class="tsd-panel tsd-index-panel">
 <details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
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 <h5><span class="tsd-kind-parameter">memory</span>: <span class="tsd-signature-type ">Memory</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <a href="_internal_.Memory.html" class="tsd-signature-type tsd-kind-class">Memory</a></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/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/67bd739be/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/1a01102f8/web/src/memory.ts#L32">memory.ts:32</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/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/1a01102f8/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/67bd739be/web/src/memory.ts#L33">memory.ts:33</a></li></ul></aside></section></section>
 <section class="tsd-panel-group tsd-member-group">
 <h2>Methods</h2>
 <section class="tsd-panel tsd-member"><a id="loadCString" class="tsd-anchor"></a>
@@ -101,7 +101,7 @@
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">string</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/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/67bd739be/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/1a01102f8/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/67bd739be/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/1a01102f8/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/67bd739be/web/src/memory.ts#L97">memory.ts:97</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="loadI32" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>load<wbr/>I32</span><a href="#loadI32" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -140,7 +140,7 @@
 <h5><span class="tsd-kind-parameter">ptr</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/memory.ts#L74">memory.ts:74</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/memory.ts#L74">memory.ts:74</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="loadI64" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>load<wbr/>I64</span><a href="#loadI64" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -153,7 +153,7 @@
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 <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/1a01102f8/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/67bd739be/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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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/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/67bd739be/web/src/memory.ts#L104">memory.ts:104</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="loadRawBytes" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>load<wbr/>Raw<wbr/>Bytes</span><a href="#loadRawBytes" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -187,7 +187,7 @@
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Uint8Array</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/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/67bd739be/web/src/memory.ts#L132">memory.ts:132</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="loadTVMBytes" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>loadTVMBytes</span><a href="#loadTVMBytes" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -204,7 +204,7 @@
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Uint8Array</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/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/67bd739be/web/src/memory.ts#L145">memory.ts:145</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="loadU16" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>load<wbr/>U16</span><a href="#loadU16" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -217,7 +217,7 @@
 <h5><span class="tsd-kind-parameter">ptr</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/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/67bd739be/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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 <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/1a01102f8/web/src/memory.ts#L67">memory.ts:67</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/memory.ts#L67">memory.ts:67</a></li></ul></aside></li></ul></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/memory.ts#L53">memory.ts:53</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="loadUSize" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>loadUSize</span><a href="#loadUSize" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/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>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/memory.ts#L124">memory.ts:124</a></li></ul></aside></li></ul></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/memory.ts#L175">memory.ts:175</a></li></ul></aside></li></ul></section></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L294">runtime.ts:294</a></li></ul></aside>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L298">runtime.ts:298</a></li></ul></aside></li></ul></section></section>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L303">runtime.ts:303</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L303">runtime.ts:303</a></li></ul></aside></li></ul></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L312">runtime.ts:312</a></li></ul></aside></li></ul></section></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L166">runtime.ts:166</a></li></ul></aside></li></ul></section></section>
 <section class="tsd-panel-group tsd-member-group">
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 <div class="tsd-signature"><span class="tsd-kind-property">apply<wbr/>Presence<wbr/>And<wbr/>Frequency<wbr/>Penalty</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L161">runtime.ts:161</a></li></ul></aside></section>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L160">runtime.ts:160</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L160">runtime.ts:160</a></li></ul></aside></section>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L162">runtime.ts:162</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L162">runtime.ts:162</a></li></ul></aside></section>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L153">runtime.ts:153</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L153">runtime.ts:153</a></li></ul></aside></section>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L150">runtime.ts:150</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L150">runtime.ts:150</a></li></ul></aside></section>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L152">runtime.ts:152</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L152">runtime.ts:152</a></li></ul></aside></section>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L151">runtime.ts:151</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L151">runtime.ts:151</a></li></ul></aside></section>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L154">runtime.ts:154</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L154">runtime.ts:154</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L144">runtime.ts:144</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L145">runtime.ts:145</a></li></ul></aside></section>
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 <h3 class="tsd-anchor-link"><span>getFFIString</span><a href="#getFFIString" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <div class="tsd-signature"><span class="tsd-kind-property">getFFIString</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L148">runtime.ts:148</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L148">runtime.ts:148</a></li></ul></aside></section>
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 <div class="tsd-signature"><span class="tsd-kind-property">get<wbr/>Sys<wbr/>Lib</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L149">runtime.ts:149</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L149">runtime.ts:149</a></li></ul></aside></section>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L157">runtime.ts:157</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L157">runtime.ts:157</a></li></ul></aside></section>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L158">runtime.ts:158</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L158">runtime.ts:158</a></li></ul></aside></section>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L155">runtime.ts:155</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L155">runtime.ts:155</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/1a01102f8/web/src/runtime.ts#L156">runtime.ts:156</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L156">runtime.ts:156</a></li></ul></aside></section>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L159">runtime.ts:159</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L159">runtime.ts:159</a></li></ul></aside></section>
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 <div class="tsd-signature"><span class="tsd-kind-property">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/1a01102f8/web/src/runtime.ts#L147">runtime.ts:147</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L147">runtime.ts:147</a></li></ul></aside></section></section>
 <section class="tsd-panel-group tsd-member-group">
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@@ -219,7 +219,7 @@
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L237">runtime.ts:237</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L237">runtime.ts:237</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="beginScope" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>begin<wbr/>Scope</span><a href="#beginScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -227,7 +227,7 @@
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L211">runtime.ts:211</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L211">runtime.ts:211</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="detachFromCurrentScope" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>detach<wbr/>From<wbr/>Current<wbr/>Scope</span><a href="#detachFromCurrentScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -245,7 +245,7 @@
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 <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/1a01102f8/web/src/runtime.ts#L256">runtime.ts:256</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L256">runtime.ts:256</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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@@ -258,7 +258,7 @@ only the first call will take effect.</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L188">runtime.ts:188</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L188">runtime.ts:188</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="endScope" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>end<wbr/>Scope</span><a href="#endScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -266,7 +266,7 @@ only the first call will take effect.</p>
 <li class="tsd-description">
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L215">runtime.ts:215</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L215">runtime.ts:215</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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@@ -284,7 +284,7 @@ only the first call will take effect.</p>
 <h5><span class="tsd-kind-parameter">obj</span>: <span class="tsd-signature-type tsd-kind-type-parameter">T</span></h5></li></ul></div>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L246">runtime.ts:246</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L246">runtime.ts:246</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 3da206a4fc..772487e0d7 100644
--- a/docs/reference/api/typedoc/classes/_internal_.TVMString.html
+++ b/docs/reference/api/typedoc/classes/_internal_.TVMString.html
@@ -26,7 +26,7 @@
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 <li><span class="target">TVMString</span></li></ul></li></ul></section><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L889">runtime.ts:889</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L889">runtime.ts:889</a></li></ul></aside>
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 <details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
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 <p>Overrides <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#constructor">constructor</a></p>
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L890">runtime.ts:890</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L890">runtime.ts:890</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/1a01102f8/web/src/runtime.ts#L794">runtime.ts:794</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L794">runtime.ts:794</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/1a01102f8/web/src/runtime.ts#L809">runtime.ts:809</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L809">runtime.ts:809</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/1a01102f8/web/src/runtime.ts#L901">runtime.ts:901</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L901">runtime.ts:901</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/1a01102f8/web/src/runtime.ts#L817">runtime.ts:817</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L817">runtime.ts:817</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/1a01102f8/web/src/runtime.ts#L837">runtime.ts:837</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L837">runtime.ts:837</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 e7e3e3b94d..8480a56da8 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/1a01102f8/web/src/webgpu.ts#L345">webgpu.ts:345</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/webgpu.ts#L345">webgpu.ts:345</a></li></ul></aside>
 <section class="tsd-panel-group tsd-index-group">
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@@ -69,19 +69,19 @@ Manages all the webgpu resources here.</p>
 <h5><span class="tsd-kind-parameter">device</span>: <span class="tsd-signature-type ">GPUDevice</span></h5></li></ul></div>
 <h4 class="tsd-returns-title">Returns <a href="_internal_.WebGPUContext.html" class="tsd-signature-type tsd-kind-class">WebGPUContext</a></h4><aside class="tsd-sources">
 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/webgpu.ts#L370">webgpu.ts:370</a></li></ul></aside></li></ul></section></section>
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 <div class="tsd-signature"><span class="tsd-kind-property">device</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type ">GPUDevice</span></div><aside class="tsd-sources">
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/webgpu.ts#L346">webgpu.ts:346</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/webgpu.ts#L346">webgpu.ts:346</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="memory" class="tsd-anchor"></a>
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 <div class="tsd-signature"><span class="tsd-kind-property">memory</span><span class="tsd-signature-symbol">:</span> <a href="_internal_.Memory.html" class="tsd-signature-type tsd-kind-class">Memory</a></div><aside class="tsd-sources">
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/webgpu.ts#L347">webgpu.ts:347</a></li></ul></aside></section></section>
 <section class="tsd-panel-group tsd-member-group">
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 <section class="tsd-panel tsd-member"><a id="bindCanvas" class="tsd-anchor"></a>
@@ -100,7 +100,7 @@ Manages all the webgpu resources here.</p>
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/webgpu.ts#L454">webgpu.ts:454</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="clearCanvas" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>clear<wbr/>Canvas</span><a href="#clearCanvas" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
 <ul class="tsd-signatures">
@@ -110,7 +110,7 @@ Manages all the webgpu resources here.</p>
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/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/67bd739be/web/src/webgpu.ts#L446">webgpu.ts:446</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="copyRawBytesToBuffer" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>copy<wbr/>Raw<wbr/>Bytes<wbr/>To<wbr/>Buffer</span><a href="#copyRawBytesToBuffer" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -139,7 +139,7 @@ Manages all the webgpu resources here.</p>
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 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/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/67bd739be/web/src/webgpu.ts#L428">webgpu.ts:428</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="createShader" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>create<wbr/>Shader</span><a href="#createShader" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -160,7 +160,7 @@ via createComputePipeline</p>
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 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/webgpu.ts#L466">webgpu.ts:466</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="createShaderAsync" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>create<wbr/>Shader<wbr/>Async</span><a href="#createShaderAsync" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -181,7 +181,7 @@ via createComputePipelineAsync</p>
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 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/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/67bd739be/web/src/webgpu.ts#L478">webgpu.ts:478</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>dispose</span><a href="#dispose" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -191,7 +191,7 @@ via createComputePipelineAsync</p>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/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/67bd739be/web/src/webgpu.ts#L378">webgpu.ts:378</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="drawImageFromBuffer" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>draw<wbr/>Image<wbr/>From<wbr/>Buffer</span><a href="#drawImageFromBuffer" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -216,7 +216,7 @@ via createComputePipelineAsync</p>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/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/67bd739be/web/src/webgpu.ts#L413">webgpu.ts:413</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="getDeviceAPI" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>get<wbr/>DeviceAPI</span><a href="#getDeviceAPI" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -232,7 +232,7 @@ via createComputePipelineAsync</p>
 <h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Function</span></h4><p>The corresponding device api.</p>
 <aside class="tsd-sources">
 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/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/67bd739be/web/src/webgpu.ts#L734">webgpu.ts:734</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="runtimeStatsText" class="tsd-anchor"></a>
 <h3 class="tsd-anchor-link"><span>runtime<wbr/>Stats<wbr/>Text</span><a href="#runtimeStatsText" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -242,7 +242,7 @@ via createComputePipelineAsync</p>
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 <ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/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/67bd739be/web/src/webgpu.ts#L400">webgpu.ts:400</a></li></ul></aside></li></ul></section>
 <section class="tsd-panel tsd-member"><a id="sync" class="tsd-anchor"></a>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/webgpu.ts#L393">webgpu.ts:393</a></li></ul></aside></li></ul></section></section></div>
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diff --git a/docs/reference/api/typedoc/enums/_internal_.RPCServerState.html b/docs/reference/api/typedoc/enums/_internal_.RPCServerState.html
index 80bcbba953..0afb5bcd0b 100644
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+++ b/docs/reference/api/typedoc/enums/_internal_.RPCServerState.html
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/rpc_server.ts#L27">rpc_server.ts:27</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/rpc_server.ts#L27">rpc_server.ts:27</a></li></ul></aside>
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 <ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/rpc_server.ts#L28">rpc_server.ts:28</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="InitHeaderKey" class="tsd-anchor"></a>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/rpc_server.ts#L29">rpc_server.ts:29</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="InitServer" class="tsd-anchor"></a>
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 <div class="tsd-signature"><span class="tsd-kind-enum-member">Init<wbr/>Server</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">2</span></div><aside class="tsd-sources">
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/rpc_server.ts#L30">rpc_server.ts:30</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="ReceivePacketBody" class="tsd-anchor"></a>
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 <div class="tsd-signature"><span class="tsd-kind-enum-member">Receive<wbr/>Packet<wbr/>Body</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">5</span></div><aside class="tsd-sources">
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/rpc_server.ts#L33">rpc_server.ts:33</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="ReceivePacketHeader" class="tsd-anchor"></a>
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 <div class="tsd-signature"><span class="tsd-kind-enum-member">Receive<wbr/>Packet<wbr/>Header</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">4</span></div><aside class="tsd-sources">
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/rpc_server.ts#L32">rpc_server.ts:32</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="WaitForCallback" class="tsd-anchor"></a>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/rpc_server.ts#L31">rpc_server.ts:31</a></li></ul></aside></section></section></div>
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diff --git a/docs/reference/api/typedoc/functions/assert.html b/docs/reference/api/typedoc/functions/assert.html
index 6bbb085480..36a845f9ea 100644
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/support.ts#L52">support.ts:52</a></li></ul></aside></li></ul></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L2441">runtime.ts:2441</a></li></ul></aside></li></ul></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/webgpu.ts#L30">webgpu.ts:30</a></li></ul></aside></section></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L983">runtime.ts:983</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L981">runtime.ts:981</a></li></ul></aside></section></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/types.ts#L34">types.ts:34</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/webgpu.ts#L338">webgpu.ts:338</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/webgpu.ts#L336">webgpu.ts:336</a></li></ul></aside></section></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L968">runtime.ts:968</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L966">runtime.ts:966</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L967">runtime.ts:967</a></li></ul></aside></section>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L964">runtime.ts:964</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L964">runtime.ts:964</a></li></ul></aside></section>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L969">runtime.ts:969</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L969">runtime.ts:969</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L965">runtime.ts:965</a></li></ul></aside></section></section></div>
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index c192da2781..bf08620051 100644
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L972">runtime.ts:972</a></li></ul></aside>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L973">runtime.ts:973</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L973">runtime.ts:973</a></li></ul></aside></section>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L974">runtime.ts:974</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L974">runtime.ts:974</a></li></ul></aside></section>
 <section class="tsd-panel tsd-member"><a id="nbytes" class="tsd-anchor"></a>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L975">runtime.ts:975</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L975">runtime.ts:975</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L976">runtime.ts:976</a></li></ul></aside></section></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L986">runtime.ts:986</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
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L36">runtime.ts:36</a></li></ul></aside></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L857">runtime.ts:857</a></li></ul></aside></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/ctypes.ts#L194">ctypes.ts:194</a></li></ul></aside></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/ctypes.ts#L197">ctypes.ts:197</a></li></ul></aside></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/ctypes.ts#L206">ctypes.ts:206</a></li></ul></aside></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/ctypes.ts#L25">ctypes.ts:25</a></li></ul></aside></div>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/1a01102f8/web/src/runtime.ts#L860">runtime.ts:860</a></li></ul></aside></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/67bd739be/web/src/runtime.ts#L860">runtime.ts:860</a></li></ul></aside></div>
 <div class="col-sidebar">
 <div class="page-menu">
 <div class="tsd-navigation settings">
diff --git a/docs/searchindex.js b/docs/searchindex.js
index 366b241022..e4116908b0 100644
--- a/docs/searchindex.js
+++ b/docs/searchindex.js
@@ -1 +1 @@
-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
+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 2337cd31ad..fb08512b04 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 25.33s!
+yolov3-tiny inference graph built in 26.66s!
 </pre></div>
 </div>
 </div>
@@ -704,6 +704,7 @@ Download test image</p>
         alu_counter     :           849056
 </pre></div>
 </div>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  0.411 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 10b0b6dca3..9560340d37 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>00:57.919</strong> total execution time for <strong>topic_vta_tutorials_frontend</strong> files:</p>
+<p><strong>01:00.411</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>00:57.919</p></td>
+<td><p>01:00.411</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 aa62b3b886..76653ca4eb 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>00:03.192</strong> total execution time for <strong>topic_vta_tutorials_optimize</strong> files:</p>
+<p><strong>00:03.312</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>00:02.702</p></td>
+<td><p>00:02.797</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>00:00.490</p></td>
+<td><p>00:00.515</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 20a8985be5..d22ab60aef 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>00:00.817</strong> total execution time for <strong>topic_vta_tutorials</strong> files:</p>
+<p><strong>00:00.838</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>00:00.424</p></td>
+<td><p>00:00.435</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>00:00.393</p></td>
+<td><p>00:00.403</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 ccea4bbf87..f364d98c53 100644
--- a/docs/tutorial/auto_scheduler_matmul_x86.html
+++ b/docs/tutorial/auto_scheduler_matmul_x86.html
@@ -512,6 +512,9 @@ trials, we can load the best schedule from the log file and apply it.</p>
 <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">sch</span></a><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">args</span></a> <span class="o">=</span> <a href="../reference/api/pyth [...]
 </pre></div>
 </div>
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>.T
+</pre></div>
+</div>
 </div>
 <div class="section" id="inspecting-the-optimized-schedule">
 <h2>Inspecting the Optimized Schedule<a class="headerlink" href="#inspecting-the-optimized-schedule" title="Permalink to this headline">¶</a></h2>
@@ -589,7 +592,7 @@ 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: 90.564 ms
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Execution time of this operator: 93.445 ms
 </pre></div>
 </div>
 </div>
@@ -661,7 +664,7 @@ 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  15.527 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  27.327 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 ac27caebfd..1e333f9f56 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: 11.83/11.83     result: MeasureResult(costs=(0.022691141800000002,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6199727058410645, timestamp=1708011917.8810415)       [(&#39;tile_y&#39;, [-1, 256]), (&#39;tile_x&#39;, [-1, 512])],None,98
-No: 2   GFLOPS: 10.03/11.83     result: MeasureResult(costs=(0.026763245799999995,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6931114196777344, timestamp=1708011918.5738919)       [(&#39;tile_y&#39;, [-1, 4]), (&#39;tile_x&#39;, [-1, 4])],None,22
-No: 3   GFLOPS: 10.16/11.83     result: MeasureResult(costs=(0.026412748599999997,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7376604080200195, timestamp=1708011919.2599878)       [(&#39;tile_y&#39;, [-1, 512]), (&#39;tile_x&#39;, [-1, 128])],None,79
-No: 4   GFLOPS: 8.76/11.83      result: MeasureResult(costs=(0.0306544982,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7452092170715332, timestamp=1708011920.0208437)       [(&#39;tile_y&#39;, [-1, 1]), (&#39;tile_x&#39;, [-1, 8])],None,30
-No: 5   GFLOPS: 1.40/11.83      result: MeasureResult(costs=(0.1923943968,), error_no=MeasureErrorNo.NO_ERROR, all_cost=3.3096492290496826, timestamp=1708011923.5289671)       [(&#39;tile_y&#39;, [-1, 2]), (&#39;tile_x&#39;, [-1, 1])],None,1
-No: 6   GFLOPS: 9.17/11.83      result: MeasureResult(costs=(0.029269668999999998,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.710364818572998, timestamp=1708011924.2544389)        [(&#39;tile_y&#39;, [-1, 1]), (&#39;tile_x&#39;, [-1, 32])],None,50
-No: 7   GFLOPS: 14.41/14.41     result: MeasureResult(costs=(0.018628427,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.5510485172271729, timestamp=1708011924.8063998)        [(&#39;tile_y&#39;, [-1, 16]), (&#39;tile_x&#39;, [-1, 32])],None,54
-No: 8   GFLOPS: 12.25/14.41     result: MeasureResult(costs=(0.0219187654,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.665583610534668, timestamp=1708011925.411672) [(&#39;tile_y&#39;, [-1, 64]), (&#39;tile_x&#39;, [-1, 32])],None,56
-No: 9   GFLOPS: 9.09/14.41      result: MeasureResult(costs=(0.029538170000000002,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6980679035186768, timestamp=1708011926.2184541)       [(&#39;tile_y&#39;, [-1, 2]), (&#39;tile_x&#39;, [-1, 16])],None,41
-No: 10  GFLOPS: 1.06/14.41      result: MeasureResult(costs=(0.25395357939999996,), error_no=MeasureErrorNo.NO_ERROR, all_cost=4.2798850536346436, timestamp=1708011930.5383048)        [(&#39;tile_y&#39;, [-1, 256]), (&#39;tile_x&#39;, [-1, 2])],None,18
+No: 1   GFLOPS: 14.74/14.74     result: MeasureResult(costs=(0.018216801,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.8373415470123291, timestamp=1708018106.7612963)        [(&#39;tile_y&#39;, [-1, 64]), (&#39;tile_x&#39;, [-1, 64])],None,66
+No: 2   GFLOPS: 11.92/14.74     result: MeasureResult(costs=(0.0225185756,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6646237373352051, timestamp=1708018107.3830678)       [(&#39;tile_y&#39;, [-1, 16]), (&#39;tile_x&#39;, [-1, 512])],None,94
+No: 3   GFLOPS: 11.32/14.74     result: MeasureResult(costs=(0.0237115372,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6489806175231934, timestamp=1708018108.0185149)       [(&#39;tile_y&#39;, [-1, 256]), (&#39;tile_x&#39;, [-1, 32])],None,58
+No: 4   GFLOPS: 2.01/14.74      result: MeasureResult(costs=(0.133230936,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.385519027709961, timestamp=1708018110.4081588) [(&#39;tile_y&#39;, [-1, 64]), (&#39;tile_x&#39;, [-1, 4])],None,26
+No: 5   GFLOPS: 1.85/14.74      result: MeasureResult(costs=(0.14543748439999998,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.5899622440338135, timestamp=1708018113.1474645)        [(&#39;tile_y&#39;, [-1, 8]), (&#39;tile_x&#39;, [-1, 1])],None,3
+No: 6   GFLOPS: 7.23/14.74      result: MeasureResult(costs=(0.0371146016,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.8548178672790527, timestamp=1708018114.0004404)       [(&#39;tile_y&#39;, [-1, 512]), (&#39;tile_x&#39;, [-1, 16])],None,49
+No: 7   GFLOPS: 7.26/14.74      result: MeasureResult(costs=(0.0369837566,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.8821573257446289, timestamp=1708018114.84633) [(&#39;tile_y&#39;, [-1, 64]), (&#39;tile_x&#39;, [-1, 16])],None,46
+No: 8   GFLOPS: 3.23/14.74      result: MeasureResult(costs=(0.08321260579999999,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.5822629928588867, timestamp=1708018116.4383159)        [(&#39;tile_y&#39;, [-1, 2]), (&#39;tile_x&#39;, [-1, 2])],None,11
+No: 9   GFLOPS: 3.98/14.74      result: MeasureResult(costs=(0.0674249542,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.3094425201416016, timestamp=1708018117.9055886)       [(&#39;tile_y&#39;, [-1, 8]), (&#39;tile_x&#39;, [-1, 2])],None,13
+No: 10  GFLOPS: 9.34/14.74      result: MeasureResult(costs=(0.028729216600000003,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7312347888946533, timestamp=1708018118.6198623)       [(&#39;tile_y&#39;, [-1, 1]), (&#39;tile_x&#39;, [-1, 64])],None,60
 </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 214c5e63d9..7e17b9d903 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;: 467.02020688007906, &#39;median&#39;: 466.2648031999197, &#39;std&#39;: 1.6591059255929859}
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>{&#39;mean&#39;: 494.0246263099107, &#39;median&#39;: 493.60434474983776, &#39;std&#39;: 2.8954121909656414}
 </pre></div>
 </div>
 </div>
@@ -767,178 +767,178 @@ depending on the specifics of the model and the target platform.</p>
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>[Task  1/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  1/25]  Current/Best:   14.48/  22.81 GFLOPS | Progress: (4/20) | 7.93 s
-[Task  1/25]  Current/Best:   11.61/  22.81 GFLOPS | Progress: (8/20) | 10.29 s
-[Task  1/25]  Current/Best:   16.27/  22.81 GFLOPS | Progress: (12/20) | 12.77 s
-[Task  1/25]  Current/Best:    7.66/  22.81 GFLOPS | Progress: (16/20) | 15.88 s
-[Task  1/25]  Current/Best:   23.69/  23.69 GFLOPS | Progress: (20/20) | 18.97 s Done.
+[Task  1/25]  Current/Best:   20.36/  20.59 GFLOPS | Progress: (4/20) | 8.20 s
+[Task  1/25]  Current/Best:    9.51/  22.76 GFLOPS | Progress: (8/20) | 10.69 s
+[Task  1/25]  Current/Best:   21.04/  22.76 GFLOPS | Progress: (12/20) | 12.95 s
+[Task  1/25]  Current/Best:   12.33/  23.09 GFLOPS | Progress: (16/20) | 15.74 s
+[Task  1/25]  Current/Best:    8.76/  23.09 GFLOPS | Progress: (20/20) | 19.60 s Done.
 
 [Task  2/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  2/25]  Current/Best:   22.43/  22.43 GFLOPS | Progress: (4/20) | 4.09 s
-[Task  2/25]  Current/Best:   18.32/  22.43 GFLOPS | Progress: (8/20) | 5.87 s
-[Task  2/25]  Current/Best:   10.74/  22.65 GFLOPS | Progress: (12/20) | 8.25 s
-[Task  2/25]  Current/Best:   20.38/  22.65 GFLOPS | Progress: (16/20) | 9.66 s
-[Task  2/25]  Current/Best:    6.73/  22.65 GFLOPS | Progress: (20/20) | 11.02 s Done.
+[Task  2/25]  Current/Best:   14.75/  15.68 GFLOPS | Progress: (4/20) | 4.32 s
+[Task  2/25]  Current/Best:   13.46/  19.73 GFLOPS | Progress: (8/20) | 5.95 s
+[Task  2/25]  Current/Best:   17.64/  19.73 GFLOPS | Progress: (12/20) | 7.45 s
+[Task  2/25]  Current/Best:   14.63/  19.73 GFLOPS | Progress: (16/20) | 9.01 s
+[Task  2/25]  Current/Best:    3.83/  19.73 GFLOPS | Progress: (20/20) | 10.58 s Done.
 
 [Task  3/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  3/25]  Current/Best:   17.26/  20.65 GFLOPS | Progress: (4/20) | 4.78 s
-[Task  3/25]  Current/Best:   24.20/  24.20 GFLOPS | Progress: (8/20) | 7.10 s
-[Task  3/25]  Current/Best:   20.21/  24.20 GFLOPS | Progress: (12/20) | 9.07 s
-[Task  3/25]  Current/Best:    6.24/  24.20 GFLOPS | Progress: (16/20) | 11.79 s
-[Task  3/25]  Current/Best:   17.33/  24.20 GFLOPS | Progress: (20/20) | 14.14 s Done.
+[Task  3/25]  Current/Best:    7.21/  19.98 GFLOPS | Progress: (4/20) | 4.99 s
+[Task  3/25]  Current/Best:   23.54/  23.54 GFLOPS | Progress: (8/20) | 7.16 s
+[Task  3/25]  Current/Best:    9.53/  23.54 GFLOPS | Progress: (12/20) | 9.18 s
+[Task  3/25]  Current/Best:   22.99/  23.54 GFLOPS | Progress: (16/20) | 11.57 s
+[Task  3/25]  Current/Best:    8.15/  23.54 GFLOPS | Progress: (20/20) | 14.12 s Done.
 
 [Task  4/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  4/25]  Current/Best:    6.66/  14.04 GFLOPS | Progress: (4/20) | 4.87 s
-[Task  4/25]  Current/Best:   13.58/  16.75 GFLOPS | Progress: (8/20) | 7.43 s
-[Task  4/25]  Current/Best:   13.70/  17.42 GFLOPS | Progress: (12/20) | 9.75 s
-[Task  4/25]  Current/Best:    5.45/  17.42 GFLOPS | Progress: (16/20) | 12.68 s
-[Task  4/25]  Current/Best:   21.45/  21.45 GFLOPS | Progress: (20/20) | 14.86 s Done.
+[Task  4/25]  Current/Best:   14.57/  16.76 GFLOPS | Progress: (4/20) | 4.40 s
+[Task  4/25]  Current/Best:    8.18/  20.23 GFLOPS | Progress: (8/20) | 6.28 s
+[Task  4/25]  Current/Best:   21.23/  21.23 GFLOPS | Progress: (12/20) | 8.34 s
+[Task  4/25]  Current/Best:   12.34/  21.23 GFLOPS | Progress: (16/20) | 10.87 s
+[Task  4/25]  Current/Best:   12.53/  21.23 GFLOPS | Progress: (20/20) | 13.74 s Done.
 
 [Task  5/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  5/25]  Current/Best:    5.05/  16.37 GFLOPS | Progress: (4/20) | 4.60 s
-[Task  5/25]  Current/Best:   18.66/  18.66 GFLOPS | Progress: (8/20) | 6.67 s
-[Task  5/25]  Current/Best:    3.12/  18.66 GFLOPS | Progress: (12/20) | 9.34 s
-[Task  5/25]  Current/Best:    4.43/  20.34 GFLOPS | Progress: (16/20) | 11.24 s
-[Task  5/25]  Current/Best:    5.85/  20.34 GFLOPS | Progress: (20/20) | 13.30 s Done.
+[Task  5/25]  Current/Best:   15.37/  15.37 GFLOPS | Progress: (4/20) | 4.54 s
+[Task  5/25]  Current/Best:   12.14/  22.54 GFLOPS | Progress: (8/20) | 6.55 s
+[Task  5/25]  Current/Best:   14.10/  22.54 GFLOPS | Progress: (12/20) | 8.80 s
+[Task  5/25]  Current/Best:   18.53/  22.54 GFLOPS | Progress: (16/20) | 10.99 s
+[Task  5/25]  Current/Best:   19.10/  22.54 GFLOPS | Progress: (20/20) | 12.75 s Done.
 
 [Task  6/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  6/25]  Current/Best:   12.96/  18.00 GFLOPS | Progress: (4/20) | 4.38 s
-[Task  6/25]  Current/Best:   15.53/  18.23 GFLOPS | Progress: (8/20) | 6.74 s
-[Task  6/25]  Current/Best:   10.12/  18.92 GFLOPS | Progress: (12/20) | 9.92 s
-[Task  6/25]  Current/Best:   10.62/  18.92 GFLOPS | Progress: (16/20) | 13.43 s
-[Task  6/25]  Current/Best:   15.26/  18.92 GFLOPS | Progress: (20/20) | 16.18 s Done.
+[Task  6/25]  Current/Best:    6.27/  12.99 GFLOPS | Progress: (4/20) | 5.15 s
+[Task  6/25]  Current/Best:    2.91/  12.99 GFLOPS | Progress: (8/20) | 8.96 s
+[Task  6/25]  Current/Best:   12.35/  13.58 GFLOPS | Progress: (12/20) | 13.98 s
+[Task  6/25]  Current/Best:   18.07/  18.07 GFLOPS | Progress: (16/20) | 16.62 s
+[Task  6/25]  Current/Best:    9.64/  18.07 GFLOPS | Progress: (20/20) | 18.80 s Done.
 
 [Task  7/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  7/25]  Current/Best:   10.08/  18.90 GFLOPS | Progress: (4/20) | 5.70 s
-[Task  7/25]  Current/Best:   17.90/  18.90 GFLOPS | Progress: (8/20) | 8.12 s
-[Task  7/25]  Current/Best:   10.48/  18.90 GFLOPS | Progress: (12/20) | 10.61 s
-[Task  7/25]  Current/Best:   15.08/  18.90 GFLOPS | Progress: (16/20) | 14.33 s
-[Task  7/25]  Current/Best:   20.70/  20.70 GFLOPS | Progress: (20/20) | 16.83 s Done.
+[Task  7/25]  Current/Best:   12.28/  18.77 GFLOPS | Progress: (4/20) | 5.46 s
+[Task  7/25]  Current/Best:   21.40/  21.40 GFLOPS | Progress: (8/20) | 7.68 s
+[Task  7/25]  Current/Best:   13.83/  21.40 GFLOPS | Progress: (12/20) | 10.22 s
+[Task  7/25]  Current/Best:   13.59/  21.40 GFLOPS | Progress: (16/20) | 13.13 s
+[Task  7/25]  Current/Best:    3.14/  21.40 GFLOPS | Progress: (20/20) | 15.95 s Done.
 
 [Task  8/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  8/25]  Current/Best:   15.08/  15.08 GFLOPS | Progress: (4/20) | 4.76 s
-[Task  8/25]  Current/Best:   11.55/  15.08 GFLOPS | Progress: (8/20) | 8.70 s
-[Task  8/25]  Current/Best:   13.43/  16.64 GFLOPS | Progress: (12/20) | 11.64 s
-[Task  8/25]  Current/Best:   12.91/  16.64 GFLOPS | Progress: (16/20) | 18.36 s
-[Task  8/25]  Current/Best:   15.15/  16.64 GFLOPS | Progress: (20/20) | 20.98 s Done.
+[Task  8/25]  Current/Best:   11.07/  16.71 GFLOPS | Progress: (4/20) | 6.20 s
+[Task  8/25]  Current/Best:   12.78/  16.71 GFLOPS | Progress: (8/20) | 9.05 s
+[Task  8/25]  Current/Best:   14.86/  20.76 GFLOPS | Progress: (12/20) | 11.73 s
+[Task  8/25]  Current/Best:   11.19/  20.76 GFLOPS | Progress: (16/20) | 17.94 s
+[Task  8/25]  Current/Best:    8.30/  20.76 GFLOPS | Progress: (20/20) | 20.86 s Done.
 
 [Task  9/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task  9/25]  Current/Best:   17.34/  17.34 GFLOPS | Progress: (4/20) | 8.46 s
-[Task  9/25]  Current/Best:   14.24/  17.45 GFLOPS | Progress: (8/20) | 10.86 s
-[Task  9/25]  Current/Best:    8.95/  18.96 GFLOPS | Progress: (12/20) | 13.61 s
-[Task  9/25]  Current/Best:   19.76/  19.76 GFLOPS | Progress: (16/20) | 24.66 s
-[Task  9/25]  Current/Best:    6.61/  19.76 GFLOPS | Progress: (20/20) | 27.69 s
+[Task  9/25]  Current/Best:   20.39/  20.39 GFLOPS | Progress: (4/20) | 6.35 s
+[Task  9/25]  Current/Best:   19.36/  20.39 GFLOPS | Progress: (8/20) | 8.35 s
+[Task  9/25]  Current/Best:   13.34/  20.39 GFLOPS | Progress: (12/20) | 13.95 s
+[Task  9/25]  Current/Best:   13.36/  20.39 GFLOPS | Progress: (16/20) | 16.87 s
+[Task  9/25]  Current/Best:   20.50/  20.50 GFLOPS | Progress: (20/20) | 18.66 s Done.
+
 [Task 10/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 10/25]  Current/Best:   13.05/  15.74 GFLOPS | Progress: (4/20) | 4.58 s
-[Task 10/25]  Current/Best:   18.46/  18.46 GFLOPS | Progress: (8/20) | 7.05 s
-[Task 10/25]  Current/Best:   18.56/  18.56 GFLOPS | Progress: (12/20) | 8.90 s
-[Task 10/25]  Current/Best:   16.70/  18.56 GFLOPS | Progress: (16/20) | 11.02 s
-[Task 10/25]  Current/Best:   16.46/  18.56 GFLOPS | Progress: (20/20) | 14.82 s Done.
+[Task 10/25]  Current/Best:   17.74/  17.82 GFLOPS | Progress: (4/20) | 5.37 s
+[Task 10/25]  Current/Best:    9.52/  21.09 GFLOPS | Progress: (8/20) | 7.06 s
+[Task 10/25]  Current/Best:    7.07/  21.09 GFLOPS | Progress: (12/20) | 8.97 s
+[Task 10/25]  Current/Best:   11.01/  21.09 GFLOPS | Progress: (16/20) | 10.77 s
+[Task 10/25]  Current/Best:   14.45/  21.09 GFLOPS | Progress: (20/20) | 12.82 s Done.
 
 [Task 11/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 11/25]  Current/Best:    3.23/  24.71 GFLOPS | Progress: (4/20) | 5.15 s
-[Task 11/25]  Current/Best:    6.30/  24.99 GFLOPS | Progress: (8/20) | 7.19 s
-[Task 11/25]  Current/Best:   15.60/  24.99 GFLOPS | Progress: (12/20) | 9.15 s
-[Task 11/25]  Current/Best:   13.20/  24.99 GFLOPS | Progress: (16/20) | 11.89 s
-[Task 11/25]  Current/Best:   24.48/  24.99 GFLOPS | Progress: (20/20) | 13.88 s Done.
+[Task 11/25]  Current/Best:   19.77/  19.77 GFLOPS | Progress: (4/20) | 4.88 s
+[Task 11/25]  Current/Best:   12.77/  19.77 GFLOPS | Progress: (8/20) | 7.43 s
+[Task 11/25]  Current/Best:   20.66/  20.66 GFLOPS | Progress: (12/20) | 10.14 s
+[Task 11/25]  Current/Best:   17.07/  23.79 GFLOPS | Progress: (16/20) | 12.39 s
+[Task 11/25]  Current/Best:    6.24/  23.79 GFLOPS | Progress: (20/20) | 15.44 s Done.
 
 [Task 12/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 12/25]  Current/Best:    3.73/  18.70 GFLOPS | Progress: (4/20) | 4.84 s
-[Task 12/25]  Current/Best:   16.81/  18.70 GFLOPS | Progress: (8/20) | 10.24 s
-[Task 12/25]  Current/Best:    4.30/  18.70 GFLOPS | Progress: (12/20) | 14.55 s
-[Task 12/25]  Current/Best:   12.84/  18.70 GFLOPS | Progress: (16/20) | 20.30 s
-[Task 12/25]  Current/Best:   17.59/  18.70 GFLOPS | Progress: (20/20) | 23.77 s Done.
+[Task 12/25]  Current/Best:   16.25/  18.20 GFLOPS | Progress: (4/20) | 4.63 s
+[Task 12/25]  Current/Best:    4.01/  18.20 GFLOPS | Progress: (8/20) | 7.25 s
+[Task 12/25]  Current/Best:   13.14/  18.62 GFLOPS | Progress: (12/20) | 9.81 s
+[Task 12/25]  Current/Best:   11.55/  18.62 GFLOPS | Progress: (16/20) | 12.88 s
+[Task 12/25]  Current/Best:   12.32/  18.62 GFLOPS | Progress: (20/20) | 15.09 s Done.
 
 [Task 13/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 13/25]  Current/Best:   16.44/  20.41 GFLOPS | Progress: (4/20) | 4.64 s
-[Task 13/25]  Current/Best:    7.91/  20.41 GFLOPS | Progress: (8/20) | 9.33 s
-[Task 13/25]  Current/Best:   13.32/  20.41 GFLOPS | Progress: (12/20) | 13.13 s
-[Task 13/25]  Current/Best:    8.34/  22.24 GFLOPS | Progress: (16/20) | 16.38 s
-[Task 13/25]  Current/Best:   16.18/  22.24 GFLOPS | Progress: (20/20) | 18.60 s Done.
+[Task 13/25]  Current/Best:   18.88/  18.88 GFLOPS | Progress: (4/20) | 5.18 s
+[Task 13/25]  Current/Best:    7.40/  18.88 GFLOPS | Progress: (8/20) | 8.16 s
+[Task 13/25]  Current/Best:   11.76/  18.88 GFLOPS | Progress: (12/20) | 11.96 s
+[Task 13/25]  Current/Best:   12.15/  20.10 GFLOPS | Progress: (16/20) | 15.72 s
+[Task 13/25]  Current/Best:    7.60/  20.10 GFLOPS | Progress: (20/20) | 19.30 s Done.
 
 [Task 14/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 14/25]  Current/Best:   13.96/  20.30 GFLOPS | Progress: (4/20) | 9.32 s
-[Task 14/25]  Current/Best:    5.93/  20.30 GFLOPS | Progress: (8/20) | 15.78 s
-[Task 14/25]  Current/Best:   10.14/  20.30 GFLOPS | Progress: (12/20) | 24.23 s
-[Task 14/25]  Current/Best:   10.11/  20.30 GFLOPS | Progress: (16/20) | 30.68 s
-[Task 14/25]  Current/Best:   18.80/  20.30 GFLOPS | Progress: (20/20) | 32.90 s Done.
-
+[Task 14/25]  Current/Best:   11.32/  15.15 GFLOPS | Progress: (4/20) | 6.35 s
+[Task 14/25]  Current/Best:    3.36/  15.15 GFLOPS | Progress: (8/20) | 10.23 s
+[Task 14/25]  Current/Best:   10.37/  15.15 GFLOPS | Progress: (12/20) | 21.88 s
+[Task 14/25]  Current/Best:    7.99/  15.15 GFLOPS | Progress: (16/20) | 29.65 s
+[Task 14/25]  Current/Best:   12.45/  15.15 GFLOPS | Progress: (20/20) | 32.62 s
 [Task 15/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 15/25]  Current/Best:    9.21/  17.71 GFLOPS | Progress: (4/20) | 6.11 s
-[Task 15/25]  Current/Best:   12.66/  19.27 GFLOPS | Progress: (8/20) | 10.15 s
-[Task 15/25]  Current/Best:   12.53/  19.59 GFLOPS | Progress: (12/20) | 13.23 s
-[Task 15/25]  Current/Best:    7.34/  22.61 GFLOPS | Progress: (16/20) | 14.81 s
-[Task 15/25]  Current/Best:   17.36/  22.61 GFLOPS | Progress: (20/20) | 16.74 s Done.
-
+[Task 15/25]  Current/Best:    7.40/  18.25 GFLOPS | Progress: (4/20) | 5.81 s
+[Task 15/25]  Current/Best:   13.53/  18.25 GFLOPS | Progress: (8/20) | 8.22 s
+[Task 15/25]  Current/Best:    8.77/  18.25 GFLOPS | Progress: (12/20) | 15.06 s
+[Task 15/25]  Current/Best:    7.70/  18.25 GFLOPS | Progress: (16/20) | 26.25 s
+[Task 15/25]  Current/Best:   12.77/  18.27 GFLOPS | Progress: (20/20) | 29.42 s
 [Task 16/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 16/25]  Current/Best:   11.05/  20.11 GFLOPS | Progress: (4/20) | 5.34 s
-[Task 16/25]  Current/Best:   10.93/  20.11 GFLOPS | Progress: (8/20) | 7.51 s
-[Task 16/25]  Current/Best:   11.42/  20.11 GFLOPS | Progress: (12/20) | 10.65 s
-[Task 16/25]  Current/Best:   12.34/  20.11 GFLOPS | Progress: (16/20) | 12.92 s
-[Task 16/25]  Current/Best:   21.03/  21.03 GFLOPS | Progress: (20/20) | 14.48 s Done.
+[Task 16/25]  Current/Best:   14.82/  16.40 GFLOPS | Progress: (4/20) | 4.52 s
+[Task 16/25]  Current/Best:   18.37/  18.37 GFLOPS | Progress: (8/20) | 6.23 s
+[Task 16/25]  Current/Best:   15.53/  18.37 GFLOPS | Progress: (12/20) | 8.26 s
+[Task 16/25]  Current/Best:   23.01/  23.01 GFLOPS | Progress: (16/20) | 10.60 s
+[Task 16/25]  Current/Best:   14.04/  23.01 GFLOPS | Progress: (20/20) | 12.77 s Done.
 
 [Task 17/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 17/25]  Current/Best:   20.70/  20.70 GFLOPS | Progress: (4/20) | 4.53 s
-[Task 17/25]  Current/Best:    3.19/  20.70 GFLOPS | Progress: (8/20) | 7.91 s
-[Task 17/25]  Current/Best:   12.70/  20.70 GFLOPS | Progress: (12/20) | 10.53 s
-[Task 17/25]  Current/Best:   20.69/  21.23 GFLOPS | Progress: (16/20) | 14.12 s
-[Task 17/25]  Current/Best:   21.72/  21.72 GFLOPS | Progress: (20/20) | 16.36 s Done.
+[Task 17/25]  Current/Best:   11.55/  22.05 GFLOPS | Progress: (4/20) | 6.30 s
+[Task 17/25]  Current/Best:   11.35/  22.05 GFLOPS | Progress: (8/20) | 9.63 s
+[Task 17/25]  Current/Best:   10.23/  22.05 GFLOPS | Progress: (12/20) | 13.12 s
+[Task 17/25]  Current/Best:    9.68/  22.05 GFLOPS | Progress: (16/20) | 16.78 s
+[Task 17/25]  Current/Best:    9.35/  22.05 GFLOPS | Progress: (20/20) | 19.49 s Done.
 
 [Task 18/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 18/25]  Current/Best:   14.43/  15.41 GFLOPS | Progress: (4/20) | 5.08 s
-[Task 18/25]  Current/Best:   13.19/  17.61 GFLOPS | Progress: (8/20) | 7.55 s
-[Task 18/25]  Current/Best:   17.91/  18.34 GFLOPS | Progress: (12/20) | 11.29 s
-[Task 18/25]  Current/Best:   21.16/  21.16 GFLOPS | Progress: (16/20) | 14.75 s
-[Task 18/25]  Current/Best:    5.68/  21.16 GFLOPS | Progress: (20/20) | 16.88 s Done.
+[Task 18/25]  Current/Best:   13.03/  18.12 GFLOPS | Progress: (4/20) | 4.55 s Done.
+ Done.
+
+[Task 18/25]  Current/Best:   19.78/  19.78 GFLOPS | Progress: (8/20) | 6.94 s
+[Task 18/25]  Current/Best:   20.72/  20.72 GFLOPS | Progress: (12/20) | 10.47 s
+[Task 18/25]  Current/Best:    9.58/  20.72 GFLOPS | Progress: (16/20) | 14.64 s
+[Task 18/25]  Current/Best:   15.29/  20.72 GFLOPS | Progress: (20/20) | 16.83 s Done.
 
 [Task 19/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 19/25]  Current/Best:    9.18/  18.42 GFLOPS | Progress: (4/20) | 6.49 s
-[Task 19/25]  Current/Best:   18.55/  18.75 GFLOPS | Progress: (8/20) | 9.94 s
-[Task 19/25]  Current/Best:   10.68/  19.33 GFLOPS | Progress: (12/20) | 13.63 s
-[Task 19/25]  Current/Best:   10.93/  21.17 GFLOPS | Progress: (16/20) | 17.39 s
-[Task 19/25]  Current/Best:    6.37/  21.17 GFLOPS | Progress: (20/20) | 20.79 s Done.
+[Task 19/25]  Current/Best:   13.26/  21.53 GFLOPS | Progress: (4/20) | 5.15 s
+[Task 19/25]  Current/Best:   19.00/  21.53 GFLOPS | Progress: (8/20) | 7.35 s
+[Task 19/25]  Current/Best:    3.08/  21.53 GFLOPS | Progress: (12/20) | 12.76 s
+[Task 19/25]  Current/Best:    6.69/  21.53 GFLOPS | Progress: (16/20) | 20.32 s
+[Task 19/25]  Current/Best:   22.00/  22.00 GFLOPS | Progress: (20/20) | 23.29 s Done.
 
 [Task 20/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 20/25]  Current/Best:   16.42/  16.42 GFLOPS | Progress: (4/20) | 14.19 s
-[Task 20/25]  Current/Best:   18.12/  18.12 GFLOPS | Progress: (8/20) | 18.40 s
-[Task 20/25]  Current/Best:   18.82/  19.52 GFLOPS | Progress: (12/20) | 20.40 s
-[Task 20/25]  Current/Best:   18.82/  19.52 GFLOPS | Progress: (16/20) | 29.10 s
-[Task 20/25]  Current/Best:   10.78/  19.52 GFLOPS | Progress: (20/20) | 31.96 s
-[Task 21/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s Done.
- Done.
+[Task 20/25]  Current/Best:    7.41/  13.78 GFLOPS | Progress: (4/20) | 6.83 s
+[Task 20/25]  Current/Best:    7.36/  13.78 GFLOPS | Progress: (8/20) | 12.55 s
+[Task 20/25]  Current/Best:   21.57/  21.57 GFLOPS | Progress: (12/20) | 18.90 s
+[Task 20/25]  Current/Best:   11.86/  21.57 GFLOPS | Progress: (16/20) | 22.74 s
+[Task 20/25]  Current/Best:   12.77/  21.57 GFLOPS | Progress: (20/20) | 27.70 s Done.
+
+[Task 21/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
+[Task 21/25]  Current/Best:   21.99/  21.99 GFLOPS | Progress: (4/20) | 4.48 s
+[Task 21/25]  Current/Best:    8.96/  21.99 GFLOPS | Progress: (8/20) | 9.51 s
+[Task 21/25]  Current/Best:    7.33/  21.99 GFLOPS | Progress: (12/20) | 14.05 s
+[Task 21/25]  Current/Best:   12.17/  21.99 GFLOPS | Progress: (16/20) | 25.43 s
+[Task 21/25]  Current/Best:    7.30/  21.99 GFLOPS | Progress: (20/20) | 30.04 s Done.
 
-[Task 21/25]  Current/Best:   15.19/  15.19 GFLOPS | Progress: (4/20) | 13.68 s
-[Task 21/25]  Current/Best:    7.18/  15.19 GFLOPS | Progress: (8/20) | 25.02 s
-[Task 21/25]  Current/Best:   11.54/  19.03 GFLOPS | Progress: (12/20) | 36.12 s
-[Task 21/25]  Current/Best:    9.05/  22.56 GFLOPS | Progress: (16/20) | 39.55 s
-[Task 21/25]  Current/Best:    9.84/  22.56 GFLOPS | Progress: (20/20) | 50.83 s
 [Task 22/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 22/25]  Current/Best:   11.85/  19.94 GFLOPS | Progress: (4/20) | 5.38 s
-[Task 22/25]  Current/Best:    2.75/  19.94 GFLOPS | Progress: (8/20) | 7.79 s
-[Task 22/25]  Current/Best:    2.78/  19.94 GFLOPS | Progress: (12/20) | 9.94 s
-[Task 22/25]  Current/Best:   12.87/  19.94 GFLOPS | Progress: (16/20) | 12.86 s
-[Task 22/25]  Current/Best:   19.26/  21.99 GFLOPS | Progress: (20/20) | 14.44 s Done.
+[Task 22/25]  Current/Best:   17.35/  17.35 GFLOPS | Progress: (4/20) | 4.34 s
+[Task 22/25]  Current/Best:    6.59/  17.35 GFLOPS | Progress: (8/20) | 6.49 s
+[Task 22/25]  Current/Best:    9.40/  20.57 GFLOPS | Progress: (12/20) | 9.11 s
+[Task 22/25]  Current/Best:   20.43/  20.57 GFLOPS | Progress: (16/20) | 11.77 s
+[Task 22/25]  Current/Best:    6.64/  20.57 GFLOPS | Progress: (20/20) | 14.91 s Done.
 
 [Task 23/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 23/25]  Current/Best:   10.31/  20.87 GFLOPS | Progress: (4/20) | 5.63 s
-[Task 23/25]  Current/Best:   18.35/  20.87 GFLOPS | Progress: (8/20) | 7.97 s
-[Task 23/25]  Current/Best:   15.42/  24.13 GFLOPS | Progress: (12/20) | 10.71 s
-[Task 23/25]  Current/Best:    9.34/  24.13 GFLOPS | Progress: (16/20) | 14.56 s
-[Task 23/25]  Current/Best:    3.17/  24.13 GFLOPS | Progress: (20/20) | 22.12 s Done.
+[Task 23/25]  Current/Best:   12.66/  21.06 GFLOPS | Progress: (4/20) | 5.23 s
+[Task 23/25]  Current/Best:    2.70/  21.06 GFLOPS | Progress: (8/20) | 9.07 s
+[Task 23/25]  Current/Best:    9.63/  23.77 GFLOPS | Progress: (12/20) | 13.86 s
+[Task 23/25]  Current/Best:   17.11/  23.77 GFLOPS | Progress: (16/20) | 18.94 s
+[Task 23/25]  Current/Best:    8.38/  23.77 GFLOPS | Progress: (20/20) | 21.56 s Done.
 
 [Task 24/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 24/25]  Current/Best:    8.58/   8.58 GFLOPS | Progress: (4/20) | 13.46 s
-[Task 24/25]  Current/Best:    2.66/   8.58 GFLOPS | Progress: (8/20) | 24.51 s
-[Task 24/25]  Current/Best:   10.11/  10.11 GFLOPS | Progress: (12/20) | 29.63 s
-[Task 24/25]  Current/Best:    2.97/  10.11 GFLOPS | Progress: (16/20) | 40.62 s
-[Task 24/25]  Current/Best:    0.94/  10.11 GFLOPS | Progress: (20/20) | 52.82 s Done.
-
+[Task 24/25]  Current/Best:    4.30/   4.30 GFLOPS | Progress: (4/20) | 7.89 s
+[Task 24/25]  Current/Best:    5.16/   7.39 GFLOPS | Progress: (8/20) | 11.32 s
+[Task 24/25]  Current/Best:    7.18/   7.39 GFLOPS | Progress: (12/20) | 22.32 s
+[Task 24/25]  Current/Best:    3.63/   7.39 GFLOPS | Progress: (16/20) | 25.91 s
+[Task 24/25]  Current/Best:    5.07/   7.39 GFLOPS | Progress: (20/20) | 36.61 s
 [Task 25/25]  Current/Best:    0.00/   0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 25/25]  Current/Best:    9.55/  10.01 GFLOPS | Progress: (4/20) | 8.21 s
-[Task 25/25]  Current/Best:    2.88/  10.01 GFLOPS | Progress: (8/20) | 19.18 s
-[Task 25/25]  Current/Best:    2.80/  10.01 GFLOPS | Progress: (12/20) | 23.44 s
-[Task 25/25]  Current/Best:    1.52/  10.14 GFLOPS | Progress: (16/20) | 25.46 s
-[Task 25/25]  Current/Best:    6.06/  10.14 GFLOPS | Progress: (20/20) | 30.03 s
+[Task 25/25]  Current/Best:    7.75/   8.51 GFLOPS | Progress: (4/20) | 6.77 s
+[Task 25/25]  Current/Best:    5.84/   8.51 GFLOPS | Progress: (8/20) | 8.24 s
+[Task 25/25]  Current/Best:    9.28/   9.28 GFLOPS | Progress: (12/20) | 19.19 s
+[Task 25/25]  Current/Best:    5.91/   9.28 GFLOPS | Progress: (16/20) | 27.07 s
+[Task 25/25]  Current/Best:    1.52/   9.28 GFLOPS | Progress: (20/20) | 29.02 s
 </pre></div>
 </div>
 <p>The output from this tuning process will look something like this:</p>
@@ -986,6 +986,7 @@ model using optimized operators to speed up our computations.</p>
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Done.
+Done.
 </pre></div>
 </div>
 <p>Verify that the optimized model runs and produces the same results:</p>
@@ -1002,8 +1003,8 @@ 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=0.621105
-class=&#39;n02123159 tiger cat&#39; with probability=0.356378
+<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
 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
@@ -1040,8 +1041,8 @@ improvement in comparing the optimized model to the unoptimized model.</p>
 <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;unoptimized: </span><span class="si">%s</span><span class="s2">&quot;</span> <span class="o">%</span> <span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#dict" title="builtins.dict" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">unoptimized</span></a><span class="p">))</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>optimized: {&#39;mean&#39;: 392.4014270400221, &#39;median&#39;: 392.0195533499282, &#39;std&#39;: 1.9212977182785338}
-unoptimized: {&#39;mean&#39;: 467.02020688007906, &#39;median&#39;: 466.2648031999197, &#39;std&#39;: 1.6591059255929859}
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>optimized: {&#39;mean&#39;: 411.5034716900118, &#39;median&#39;: 411.0886490499979, &#39;std&#39;: 2.7702720707034203}
+unoptimized: {&#39;mean&#39;: 494.0246263099107, &#39;median&#39;: 493.60434474983776, &#39;std&#39;: 2.8954121909656414}
 </pre></div>
 </div>
 </div>
@@ -1055,7 +1056,7 @@ models.</p>
 <p>Here we presented a simple example using ResNet-50 v2 locally. However, TVM
 supports many more features including cross-compilation, remote execution and
 profiling/benchmarking.</p>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 13 minutes  6.228 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 12 minutes  38.507 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 4ac3c334d8..9dd0c5e558 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>1.128e-07 secs/op
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>1.11e-07 secs/op
 </pre></div>
 </div>
 </div>
diff --git a/docs/tutorial/intro_topi.html b/docs/tutorial/intro_topi.html
index 96cca040e0..79574a4040 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, 0x7acda80)), stage(b, placeholder(b, 0x88d9f10)), stage(T_add, compute(T_add, body=[a[ax0, ax1, ax2] + b[ax1, ax2]], axis=[T.iter_var(ax0, T.Range(0, 100), &quot;DataPar&quot;, &quot;&quot;), T.iter_var(ax1, T.Range(0, 10), &quot;DataPar&quot;, &quot;&quot;), T.iter_var(ax2, T.Range(0, 10), &quot;DataPar&quot;, &quot;&quot;)], reduce_axis=[], tag=broadcast, attrs= [...]
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>[stage(a, placeholder(a, 0x10e66f30)), stage(b, placeholder(b, 0x30ddde90)), stage(T_add, compute(T_add, body=[a[ax0, ax1, ax2] + b[ax1, ax2]], axis=[T.iter_var(ax0, T.Range(0, 100), &quot;DataPar&quot;, &quot;&quot;), T.iter_var(ax1, T.Range(0, 10), &quot;DataPar&quot;, &quot;&quot;), T.iter_var(ax2, T.Range(0, 10), &quot;DataPar&quot;, &quot;&quot;)], reduce_axis=[], tag=broadcast, attr [...]
 </pre></div>
 </div>
 <p>We can test the correctness by comparing with <code class="code docutils literal notranslate"><span class="pre">numpy</span></code> result as follows</p>
diff --git a/docs/tutorial/sg_execution_times.html b/docs/tutorial/sg_execution_times.html
index e15589706f..c14060408a 100644
--- a/docs/tutorial/sg_execution_times.html
+++ b/docs/tutorial/sg_execution_times.html
@@ -360,7 +360,7 @@
             
   <div class="section" id="computation-times">
 <span id="sphx-glr-tutorial-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>16:19.611</strong> total execution time for <strong>tutorial</strong> files:</p>
+<p><strong>16:09.503</strong> total execution time for <strong>tutorial</strong> files:</p>
 <table class="docutils align-default">
 <colgroup>
 <col style="width: 83%" />
@@ -369,54 +369,54 @@
 </colgroup>
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="autotvm_relay_x86.html#sphx-glr-tutorial-autotvm-relay-x86-py"><span class="std std-ref">Compiling and Optimizing a Model with the Python Interface (AutoTVM)</span></a> (<code class="docutils literal notranslate"><span class="pre">autotvm_relay_x86.py</span></code>)</p></td>
-<td><p>13:06.228</p></td>
+<td><p>12:38.507</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>01:15.527</p></td>
+<td><p>01:27.327</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>00:56.069</p></td>
+<td><p>01:00.368</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>00:40.646</p></td>
+<td><p>00:42.121</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>00:19.170</p></td>
+<td><p>00:18.964</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>00:00.928</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="tensor_ir_blitz_course.html#sphx-glr-tutorial-tensor-ir-blitz-course-py"><span class="std std-ref">Blitz Course to TensorIR</span></a> (<code class="docutils literal notranslate"><span class="pre">tensor_ir_blitz_course.py</span></code>)</p></td>
+<td><p>00:01.050</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>00:00.850</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>00:00.960</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>00:00.205</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="uma.html#sphx-glr-tutorial-uma-py"><span class="std std-ref">Making your Hardware Accelerator TVM-ready with UMA</span></a> (<code class="docutils literal notranslate"><span class="pre">uma.py</span></code>)</p></td>
 <td><p>00:00.000</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="tvmc_python.html#sphx-glr-tutorial-tvmc-python-py"><span class="std std-ref">Getting Starting using TVMC Python: a high-level API for TVM</span></a> (<code class="docutils literal notranslate"><span class="pre">tvmc_python.py</span></code>)</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="tvmc_command_line_driver.html#sphx-glr-tutorial-tvmc-command-line-driver-py"><span class="std std-ref">Compiling and Optimizing a Model with TVMC</span></a> (<code class="docutils literal notranslate"><span class="pre">tvmc_command_line_driver.py</span></code>)</p></td>
 <td><p>00:00.000</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="tvmc_command_line_driver.html#sphx-glr-tutorial-tvmc-command-line-driver-py"><span class="std std-ref">Compiling and Optimizing a Model with TVMC</span></a> (<code class="docutils literal notranslate"><span class="pre">tvmc_command_line_driver.py</span></code>)</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="tvmc_python.html#sphx-glr-tutorial-tvmc-python-py"><span class="std std-ref">Getting Starting using TVMC Python: a high-level API for TVM</span></a> (<code class="docutils literal notranslate"><span class="pre">tvmc_python.py</span></code>)</p></td>
 <td><p>00:00.000</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="introduction.html#sphx-glr-tutorial-introduction-py"><span class="std std-ref">Introduction</span></a> (<code class="docutils literal notranslate"><span class="pre">introduction.py</span></code>)</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="install.html#sphx-glr-tutorial-install-py"><span class="std std-ref">Installing TVM</span></a> (<code class="docutils literal notranslate"><span class="pre">install.py</span></code>)</p></td>
 <td><p>00:00.000</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="install.html#sphx-glr-tutorial-install-py"><span class="std std-ref">Installing TVM</span></a> (<code class="docutils literal notranslate"><span class="pre">install.py</span></code>)</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="introduction.html#sphx-glr-tutorial-introduction-py"><span class="std std-ref">Introduction</span></a> (<code class="docutils literal notranslate"><span class="pre">introduction.py</span></code>)</p></td>
 <td><p>00:00.000</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
diff --git a/docs/tutorial/tensor_expr_get_started.html b/docs/tutorial/tensor_expr_get_started.html
index d02bce090b..4753298739 100644
--- a/docs/tutorial/tensor_expr_get_started.html
+++ b/docs/tutorial/tensor_expr_get_started.html
@@ -569,8 +569,8 @@ helper function to run a profile of the TVM generated code.</p>
 <span class="n">evaluate_addition</span><span class="p">(</span><span class="n">fadd</span><span class="p">,</span> <a href="../reference/api/python/target.html#tvm.target.Target" title="tvm.target.Target" class="sphx-glr-backref-module-tvm-target sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">tgt</span></a><span class="p">,</span> <span class="s2">&quot;naive&quot;</span><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#list" ti [...]
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Numpy running time: 0.000006
-naive: 0.000006
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Numpy running time: 0.000007
+naive: 0.000008
 </pre></div>
 </div>
 </div>
@@ -664,7 +664,7 @@ factor to be the number of threads on your CPU.</p>
 <span class="nb">print</span><span class="p">(</span><a href="../reference/api/python/driver.html#tvm.lower" title="tvm.lower" class="sphx-glr-backref-module-tvm sphx-glr-backref-type-py-function"><span class="n">tvm</span><span class="o">.</span><span class="n">lower</span></a><span class="p">(</span><a href="../reference/api/python/te.html#tvm.te.Schedule" title="tvm.te.Schedule" class="sphx-glr-backref-module-tvm-te sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class [...]
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>vector: 0.000038
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>vector: 0.000039
 # from tvm.script import ir as I
 # from tvm.script import tir as T
 
@@ -701,10 +701,10 @@ class Module:
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Operator                  Timing             Performance
-   numpy    5.907220001972746e-06                    1.0
-   naive              5.7903e-06      0.9802072714519351
-parallel              7.0881e-06      1.1999045232161478
-  vector             3.83741e-05       6.496135235725904
+   numpy    7.20887997886166e-06                     1.0
+   naive              7.9439e-06      1.1019603632316828
+parallel    7.030100000000001e-06     0.9752000339323321
+  vector             3.91776e-05       5.434630638168352
 </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: 0.014579
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Numpy running time: 0.018228
 </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: 3.197968
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>none: 3.418428
 </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: 0.283057
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>blocking: 0.296705
 </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: 0.262342
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>vectorization: 0.280831
 # 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: 0.110630
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>loop permutation: 0.113967
 # 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: 0.104241
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>array packing: 0.105157
 # 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: 0.095257
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>block caching: 0.110904
 # 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: 0.112764
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>parallelization: 0.131456
 # 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            3.1979680744                     1.0
-        blocking            0.2830566536     0.08851140693551383
-   vectorization     0.26234238369999996     0.08203408464270565
-loop permutation            0.1106303082     0.03459393765860416
-   array packing            0.1042406782     0.03259590958222982
-   block caching            0.0952566973    0.029786631724856096
- parallelization            0.1127636753     0.03526103847085985
+            none      3.4184275943999998                     1.0
+        blocking     0.29670512010000005     0.08679578897211586
+   vectorization            0.2808313816     0.08215220999855383
+loop permutation     0.11396747119999999     0.03333915025337943
+   array packing     0.10515745030000001    0.030761935830458092
+   block caching            0.1109036054     0.03244287098011966
+ parallelization             0.131456411     0.03845522754828837
 </pre></div>
 </div>
 <p>Note that the outputs on the web page reflect the running times on a
@@ -1507,6 +1507,7 @@ is</p>
 you can build generic templates of the matrix multiplication and other
 operations with tunable parameters that allows you to automatically optimize
 the computation for specific platforms.</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  0.368 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorial-tensor-expr-get-started-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/40a01cffb015a67aaec0fad7e27cf80d/tensor_expr_get_started.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">tensor_expr_get_started.py</span></code></a></p>