You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@tvm.apache.org by tq...@apache.org on 2024/01/24 06:14:00 UTC
(tvm-site) branch asf-site updated: deploying docs (apache/tvm@2c49e01a0a1a69ae578fb27f7f78225d4a55dffd)
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 e5708214c4 deploying docs (apache/tvm@2c49e01a0a1a69ae578fb27f7f78225d4a55dffd)
e5708214c4 is described below
commit e5708214c4f2e2b517016cc900eaf4aef9a89685
Author: tvm-bot <95...@users.noreply.github.com>
AuthorDate: Wed Jan 24 06:13:55 2024 +0000
deploying docs (apache/tvm@2c49e01a0a1a69ae578fb27f7f78225d4a55dffd)
---
.../how_to/compile_models/from_darknet.rst.txt | 2 +-
.../how_to/compile_models/from_mxnet.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 | 22 +-
.../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 +-
.../how_to/deploy_models/deploy_quantized.rst.txt | 2 +-
.../deploy_models/sg_execution_times.rst.txt | 20 +-
.../extend_tvm/bring_your_own_datatypes.rst.txt | 2 +-
.../how_to/extend_tvm/sg_execution_times.rst.txt | 10 +-
.../how_to/extend_tvm/use_pass_instrument.rst.txt | 16 +-
.../optimize_operators/opt_conv_cuda.rst.txt | 2 +-
.../optimize_operators/opt_conv_tensorcore.rst.txt | 2 +-
.../how_to/optimize_operators/opt_gemm.rst.txt | 16 +-
.../optimize_operators/sg_execution_times.rst.txt | 8 +-
.../sg_execution_times.rst.txt | 14 +-
.../tune_conv2d_layer_cuda.rst.txt | 2 +-
.../tune_network_cuda.rst.txt | 4 +-
.../tune_network_x86.rst.txt | 4 +-
.../tune_with_autotvm/sg_execution_times.rst.txt | 10 +-
.../tune_with_autotvm/tune_conv2d_cuda.rst.txt | 2 +-
.../work_with_microtvm/micro_autotune.rst.txt | 18 +-
.../work_with_microtvm/micro_pytorch.rst.txt | 4 +-
.../how_to/work_with_microtvm/micro_train.rst.txt | 16 +-
.../work_with_microtvm/sg_execution_times.rst.txt | 14 +-
.../work_with_relay/sg_execution_times.rst.txt | 8 +-
.../how_to/work_with_schedules/intrin_math.rst.txt | 2 +-
.../work_with_schedules/sg_execution_times.rst.txt | 16 +-
.../tutorials/autotvm/sg_execution_times.rst.txt | 6 +-
.../frontend/deploy_classification.rst.txt | 2 +-
.../tutorials/frontend/deploy_detection.rst.txt | 2 +-
.../tutorials/frontend/sg_execution_times.rst.txt | 6 +-
.../tutorials/optimize/sg_execution_times.rst.txt | 6 +-
.../topic/vta/tutorials/sg_execution_times.rst.txt | 6 +-
.../tutorial/auto_scheduler_matmul_x86.rst.txt | 6 +-
docs/_sources/tutorial/autotvm_matmul_x86.rst.txt | 20 +-
docs/_sources/tutorial/autotvm_relay_x86.rst.txt | 57 +++--
.../tutorial/cross_compilation_and_rpc.rst.txt | 2 +-
docs/_sources/tutorial/intro_topi.rst.txt | 2 +-
docs/_sources/tutorial/sg_execution_times.rst.txt | 22 +-
.../tutorial/tensor_expr_get_started.rst.txt | 46 ++--
docs/commit_hash | 2 +-
docs/how_to/compile_models/from_darknet.html | 2 +-
docs/how_to/compile_models/from_mxnet.html | 2 +-
docs/how_to/compile_models/from_oneflow.html | 15 +-
docs/how_to/compile_models/from_paddle.html | 1 -
docs/how_to/compile_models/from_pytorch.html | 15 +-
docs/how_to/compile_models/from_tensorflow.html | 2 +-
docs/how_to/compile_models/sg_execution_times.html | 26 +-
.../deploy_models/deploy_model_on_adreno.html | 4 +-
.../deploy_models/deploy_model_on_adreno_tvmc.html | 30 +--
.../deploy_models/deploy_model_on_android.html | 2 +-
.../deploy_object_detection_pytorch.html | 58 +++--
docs/how_to/deploy_models/deploy_prequantized.html | 8 +-
.../deploy_models/deploy_prequantized_tflite.html | 2 +-
docs/how_to/deploy_models/deploy_quantized.html | 2 +-
docs/how_to/deploy_models/sg_execution_times.html | 24 +-
.../extend_tvm/bring_your_own_datatypes.html | 2 +-
docs/how_to/extend_tvm/sg_execution_times.html | 10 +-
docs/how_to/extend_tvm/use_pass_instrument.html | 16 +-
docs/how_to/optimize_operators/opt_conv_cuda.html | 2 +-
.../optimize_operators/opt_conv_tensorcore.html | 2 +-
docs/how_to/optimize_operators/opt_gemm.html | 16 +-
.../optimize_operators/sg_execution_times.html | 8 +-
.../sg_execution_times.html | 14 +-
.../tune_conv2d_layer_cuda.html | 2 +-
.../tune_with_autoscheduler/tune_network_cuda.html | 4 +-
.../tune_with_autoscheduler/tune_network_x86.html | 4 +-
.../tune_with_autotvm/sg_execution_times.html | 10 +-
.../how_to/tune_with_autotvm/tune_conv2d_cuda.html | 2 +-
docs/how_to/work_with_microtvm/micro_autotune.html | 18 +-
docs/how_to/work_with_microtvm/micro_pytorch.html | 4 +-
docs/how_to/work_with_microtvm/micro_train.html | 16 +-
.../work_with_microtvm/sg_execution_times.html | 18 +-
.../how_to/work_with_relay/sg_execution_times.html | 8 +-
docs/how_to/work_with_schedules/intrin_math.html | 2 +-
.../work_with_schedules/sg_execution_times.html | 20 +-
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 | 102 ++++----
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 | 52 ++--
.../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/autotvm/sg_execution_times.html | 6 +-
.../tutorials/frontend/deploy_classification.html | 2 +-
.../vta/tutorials/frontend/deploy_detection.html | 2 +-
.../vta/tutorials/frontend/sg_execution_times.html | 10 +-
.../vta/tutorials/optimize/sg_execution_times.html | 6 +-
docs/topic/vta/tutorials/sg_execution_times.html | 6 +-
docs/tutorial/auto_scheduler_matmul_x86.html | 5 +-
docs/tutorial/autotvm_matmul_x86.html | 20 +-
docs/tutorial/autotvm_relay_x86.html | 273 ++++++++++-----------
docs/tutorial/cross_compilation_and_rpc.html | 2 +-
docs/tutorial/intro_topi.html | 2 +-
docs/tutorial/sg_execution_times.html | 22 +-
docs/tutorial/tensor_expr_get_started.html | 46 ++--
141 files changed, 875 insertions(+), 900 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 bb987c6ad3..a262b5de24 100644
--- a/docs/_sources/how_to/compile_models/from_darknet.rst.txt
+++ b/docs/_sources/how_to/compile_models/from_darknet.rst.txt
@@ -318,7 +318,7 @@ The process is no different from other examples.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 33.533 seconds)
+ **Total running time of the script:** ( 1 minutes 29.393 seconds)
.. _sphx_glr_download_how_to_compile_models_from_darknet.py:
diff --git a/docs/_sources/how_to/compile_models/from_mxnet.rst.txt b/docs/_sources/how_to/compile_models/from_mxnet.rst.txt
index 86a8b75e07..bdb624802d 100644
--- a/docs/_sources/how_to/compile_models/from_mxnet.rst.txt
+++ b/docs/_sources/how_to/compile_models/from_mxnet.rst.txt
@@ -116,7 +116,7 @@ In this section, we download a pretrained imagenet model and classify an image.
.. code-block:: none
- Downloading /workspace/.mxnet/models/resnet18_v1-a0666292.zip0bee5008-281b-4a9c-95c3-2c75e97079b2 from https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/models/resnet18_v1-a0666292.zip...
+ Downloading /workspace/.mxnet/models/resnet18_v1-a0666292.zipa4fc587e-2ab1-48d9-9a63-9164ee6fdd3e from https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/models/resnet18_v1-a0666292.zip...
x (1, 3, 224, 224)
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 b9996b70bc..327dbbe103 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, 52.6MB/s]
35%|###4 | 14.3M/41.5M [00:00<00:00, 49.1MB/s]
46%|####5 | 19.1M/41.5M [00:00<00:00, 46.7MB/s]
57%|#####6 | 23.5M/41.5M [00:00<00:00, 40.9MB/s]
66%|######6 | 27.4M/41.5M [00:00<00:00, 38.5MB/s]
77%|#######7 | 32.0M/41.5M [00:00<00:00, 34.6MB/s]
92%|#########2| 38.3M/41.5M [00:00<00:00, 40.8MB/s]
100%|##########| 41.5M/41.5M [00:01<00:00, 40.9MB/s]
+
0%| | 0.00/41.5M [00:00<?, ?B/s]
19%|#9 | 7.99M/41.5M [00:00<00:00, 81.9MB/s]
39%|###8 | 16.0M/41.5M [00:00<00:00, 68.1MB/s]
55%|#####4 | 22.6M/41.5M [00:00<00:00, 61.3MB/s]
69%|######8 | 28.6M/41.5M [00:00<00:00, 56.1MB/s]
82%|########1 | 34.0M/41.5M [00:00<00:00, 48.4MB/s]
93%|#########3| 38.7M/41.5M [00:00<00:00, 40.3MB/s]
100%|##########| 41.5M/41.5M [00:00<00:00, 49.1MB/s]
diff --git a/docs/_sources/how_to/compile_models/from_paddle.rst.txt b/docs/_sources/how_to/compile_models/from_paddle.rst.txt
index 1d94560e21..8df75c9e33 100644
--- a/docs/_sources/how_to/compile_models/from_paddle.rst.txt
+++ b/docs/_sources/how_to/compile_models/from_paddle.rst.txt
@@ -207,11 +207,6 @@ Look up prediction top 1 index in 1000 class synset.
-.. rst-class:: sphx-glr-timing
-
- **Total running time of the script:** ( 1 minutes 1.164 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 b630567957..c09554d9b6 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, 48.8MB/s]
25%|##4 | 11.0M/44.7M [00:00<00:01, 34.1MB/s]
36%|###5 | 16.0M/44.7M [00:00<00:00, 36.8MB/s]
54%|#####3 | 24.0M/44.7M [00:00<00:00, 47.7MB/s]
68%|######7 | 30.3M/44.7M [00:00<00:00, 50.9MB/s]
79%|#######9 | 35.3M/44.7M [00:00<00:00, 51.0MB/s]
90%|######### | 40.3M/44.7M [00:01<00:00, 33.6MB/s]
100%|##########| 44.7M/44.7M [00:01<00:00, 42.4MB/s]
+
0%| | 0.00/44.7M [00:00<?, ?B/s]
18%|#7 | 7.99M/44.7M [00:00<00:00, 54.6MB/s]
36%|###5 | 16.0M/44.7M [00:00<00:00, 55.4MB/s]
54%|#####3 | 24.1M/44.7M [00:00<00:00, 65.0MB/s]
68%|######8 | 30.5M/44.7M [00:00<00:00, 63.6MB/s]
82%|########2 | 36.7M/44.7M [00:00<00:00, 62.1MB/s]
96%|#########5| 42.7M/44.7M [00:00<00:00, 56.6MB/s]
100%|##########| 44.7M/44.7M [00:00<00:00, 61.1MB/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 c4f2febd0d..10af0428b3 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 30.193 seconds)
+ **Total running time of the script:** ( 1 minutes 36.706 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 cb6859a4de..09cd25700d 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
@@ -5,26 +5,26 @@
Computation times
=================
-**07:08.245** total execution time for **how_to_compile_models** files:
+**07:14.693** total execution time for **how_to_compile_models** files:
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_darknet.py` (``from_darknet.py``) | 01:33.533 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_tensorflow.py` (``from_tensorflow.py``) | 01:36.706 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_tensorflow.py` (``from_tensorflow.py``) | 01:30.193 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_darknet.py` (``from_darknet.py``) | 01:29.393 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_paddle.py` (``from_paddle.py``) | 01:01.164 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_paddle.py` (``from_paddle.py``) | 00:59.236 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_oneflow.py` (``from_oneflow.py``) | 00:41.438 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_oneflow.py` (``from_oneflow.py``) | 00:44.501 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_coreml.py` (``from_coreml.py``) | 00:37.506 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_coreml.py` (``from_coreml.py``) | 00:40.446 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_mxnet.py` (``from_mxnet.py``) | 00:34.015 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_mxnet.py` (``from_mxnet.py``) | 00:36.176 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_pytorch.py` (``from_pytorch.py``) | 00:28.325 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_pytorch.py` (``from_pytorch.py``) | 00:27.238 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_keras.py` (``from_keras.py``) | 00:26.734 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_keras.py` (``from_keras.py``) | 00:25.312 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_tflite.py` (``from_tflite.py``) | 00:12.547 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_tflite.py` (``from_tflite.py``) | 00:12.687 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_onnx.py` (``from_onnx.py``) | 00:02.790 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_onnx.py` (``from_onnx.py``) | 00:02.999 | 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 89f38c64b8..8366456d31 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)
- 3993.8469 3993.8320 3996.9046 3990.5170 2.1393
+ 3990.8041 3990.5159 3993.2942 3989.1620 1.3313
@@ -681,7 +681,7 @@ well as provides information about the model's performance
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 17.242 seconds)
+ **Total running time of the script:** ( 1 minutes 18.663 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 e70f3f4f5d..d19ba7a743 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
4440064/102967424 [>.............................] - ETA: 1s
8380416/102967424 [=>............................] - ETA: 1s
16769024/102967424 [===>..........................] - ETA: 1s
25157632/102967424 [======>.......................] - ETA: 0s
33546240/102967424 [========>.....................] - ETA: 0s
40189952/102967424 [==========>...................] - ETA: 0s
41934848/102967424 [===========>..................] - ETA: 1s
48578560/102967424 [=============>................] - ETA: 0s
50323456/102967424 [=============>................] - ETA: 0s
56967168/102967424 [===============>..............] - ETA: 0s
58712064/102967424 [================>.............] - ETA: 0s
60907520/102967424 [================>.............] - ETA: 0s
65355776/102967424 [==================>...........] - ETA: 0s
67100672/102967424 [==================>...........] - ETA: 0s
69296128/102967424 [===================>..........] -
ETA: 0s
73744384/102967424 [====================>.........] - ETA: 0s
75489280/102967424 [====================>.........] - ETA: 0s
82124800/102967424 [======================>.......] - ETA: 0s
83877888/102967424 [=======================>......] - ETA: 0s
86073344/102967424 [========================>.....] - ETA: 0s
92176384/102967424 [=========================>....] - ETA: 0s
92266496/102967424 [=========================>....] - ETA: 0s
94461952/102967424
[==========================>...] - ETA: 0s
98910208/102967424 [===========================>..] - ETA: 0s
100646912/102967424 [============================>.] - ETA: 0s
102850560/102967424 [============================>.] - ETA: 0s
102967424/102967424 [==============================] - 2s 0us/step
+
8192/102967424 [..............................] - ETA: 0s
8380416/102967424 [=>............................] - ETA: 1s
16769024/102967424 [===>..........................] - ETA: 0s
25157632/102967424 [======>.......................] - ETA: 0s
33546240/102967424 [========>.....................] - ETA: 0s
41934848/102967424 [===========>..................] - ETA: 0s
50323456/102967424 [=============>................] - ETA: 0s
58712064/102967424 [================>.............] - ETA: 0s
67846144/102967424 [==================>...........] - ETA: 0s
72998912/102967424 [====================>.........] - ETA: 0s
75628544/102967424 [=====================>........] - ETA: 0s
83124224/102967424 [=======================>......] - ETA: 0s
88211456/102967424 [========================>.....] - ETA: 0s
92266496/102967424 [=========================>....] - ETA: 0s
100311040/102967424 [============================>.] - ETA: 0s
102967424/102967424 [==============================] -
1s 0us/step
diff --git a/docs/_sources/how_to/deploy_models/deploy_model_on_android.rst.txt b/docs/_sources/how_to/deploy_models/deploy_model_on_android.rst.txt
index 6499b42cb7..01ac0f8a0c 100644
--- a/docs/_sources/how_to/deploy_models/deploy_model_on_android.rst.txt
+++ b/docs/_sources/how_to/deploy_models/deploy_model_on_android.rst.txt
@@ -437,7 +437,7 @@ Execute on TVM
Evaluate inference time cost...
Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 14.6706 14.6510 14.8877 14.5239 0.0989
+ 16.1846 16.4110 16.8604 15.5076 0.4936
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 cbd88b25d4..39df4c9aac 100644
--- a/docs/_sources/how_to/deploy_models/deploy_object_detection_pytorch.rst.txt
+++ b/docs/_sources/how_to/deploy_models/deploy_object_detection_pytorch.rst.txt
@@ -130,7 +130,7 @@ Load pre-trained maskrcnn from torchvision and do tracing
/venv/apache-tvm-py3.8/lib/python3.8/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=MaskRCNN_ResNet50_FPN_Weights.COCO_V1`. You can also use `weights=MaskRCNN_ResNet50_FPN_Weights.DEFAULT` to get the most up-to-date weights.
warnings.warn(msg)
Downloading: "https://download.pytorch.org/models/maskrcnn_resnet50_fpn_coco-bf2d0c1e.pth" to /workspace/.cache/torch/hub/checkpoints/maskrcnn_resnet50_fpn_coco-bf2d0c1e.pth
-
0%| | 0.00/170M [00:00<?, ?B/s]
4%|3 | 6.30M/170M [00:00<00:03, 44.4MB/s]
6%|6 | 10.5M/170M [00:00<00:04, 36.5MB/s]
9%|9 | 16.0M/170M [00:00<00:05, 31.2MB/s]
13%|#3 | 22.5M/170M [00:00<00:03, 41.2MB/s]
16%|#5 | 26.9M/170M [00:00<00:04, 37.2MB/s]
19%|#8 | 32.0M/170M [00:00<00:04, 34.3MB/s]
24%|##3 | 40.0M/170M [00:01<00:03, 40.7MB/s]
27%|##7 | 46.3M/170M [00:01<00:03, 36.5MB/s]
29%|##9 | 50.0M/170M [00:01<00:03, 34.9MB/s]
33%|###2 | 56.0M/170M [00:01<00:03, 35.8MB/s]
38%|###7 | 64.0M/170M [00:01<00:02, 41.2MB/s]
42%|####2 | 72.0M/170M [00:01<00:02, 44.6MB/s]
46%|####6 | 78.3M/170M [00:02<00:01, 48.8MB/s]
49%|####8 | 83.1M/170M [00:02<00:01, 47.1MB/s]
52%|#####1 | 88.0M/170M [00:02<00:01, 44.9MB/s]
57%|#####6 | 96.0M/170M [00:02<00:01, 49.6MB/s]
61%|######1 | 104M/170M [00:02<00:01, 43.8MB/s
]
66%|######5 | 112M/170M [00:02<00:01, 46.8MB/s]
71%|####### | 120M/170M [00:02<00:01, 49.1MB/s]
74%|#######4 | 126M/170M [00:03<00:00, 47.9MB/s]
77%|#######7 | 131M/170M [00:03<00:01, 35.8MB/s]
79%|#######9 | 135M/170M [00:03<00:01, 27.1MB/s]
81%|########1 | 138M/170M [00:03<00:01, 24.2MB/s]
85%|########4 | 144M/170M [00:03<00:00, 29.2MB/s]
88%|########8 | 150M/170M [00:04<00:00, 29.0MB/s]
90%|######### | 153M/170M [00:04<00:00, 27.2MB/s]
94%|#########4| 160M/170M [00:04<00:00, 31.5MB/s]
98%|#########7| 166M/170M [00:04<00:00, 31.9MB/s]
100%|##########| 170M/170M [00:04<00:00, 37.1MB/s]
+
0%| | 0.00/170M [00:00<?, ?B/s]
4%|3 | 6.30M/170M [00:00<00:04, 42.4MB/s]
6%|6 | 10.4M/170M [00:00<00:04, 40.0MB/s]
8%|8 | 14.3M/170M [00:00<00:04, 35.0MB/s]
13%|#3 | 22.3M/170M [00:00<00:03, 50.7MB/s]
17%|#7 | 29.0M/170M [00:00<00:02, 56.8MB/s]
20%|## | 34.7M/170M [00:00<00:03, 45.3MB/s]
24%|##3 | 40.0M/170M [00:00<00:02, 47.3MB/s]
28%|##8 | 48.0M/170M [00:01<00:02, 51.5MB/s]
33%|###2 | 56.0M/170M [00:01<00:01, 59.9MB/s]
38%|###7 | 64.0M/170M [00:01<00:01, 62.3MB/s]
42%|####2 | 72.0M/170M [00:01<00:01, 66.7MB/s]
46%|####6 | 78.5M/170M [00:01<00:01, 65.5MB/s]
51%|##### | 86.3M/170M [00:01<00:01, 62.1MB/s]
56%|#####6 | 95.3M/170M [00:01<00:01, 70.4MB/s]
60%|###### | 102M/170M [00:01<00:01, 70.4MB/s]
64%|######4 | 109M/170M [00:02<00:01, 57.3MB/s]
70%|######9 | 118M/170M [00:02<00:01, 43.1MB/s]
73%|#######2 | 123M/170M [00:02<00:01, 44.1MB/s]
75%|#######5 | 128M/170M [00:02<00:01, 41.1MB/s]
79%|#######9 | 134M/170M [00:02<00:00, 42.2MB/s]
82%|########1 | 139M/170M [00:02<00:00, 40.6MB/s]
85%|########4 | 144M/170M [00:02<00:00, 42.2MB/s]
88%|########8 | 150M/170M [00:03<00:00, 39.1MB/s]
91%|######### | 154M/170M [00:03<00:00, 37.7MB/s]
94%|#########4| 160M/170M [00:03<00:00, 39.7MB/s]
98%|#########7| 166M/170M [00:03<00:00, 37.8MB/s]
100%|##########| 170M/170M [00:03<00:00, 48.0MB/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 31.503 seconds)
+ **Total running time of the script:** ( 3 minutes 38.432 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 9afdc45ff4..bf2291c209 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]
62%|######1 | 8.35M/13.6M [00:00<00:00, 87.6MB/s]
100%|##########| 13.6M/13.6M [00:00<00:00, 64.9MB/s]
+
0%| | 0.00/13.6M [00:00<?, ?B/s]
60%|#####9 | 8.12M/13.6M [00:00<00:00, 81.5MB/s]
100%|##########| 13.6M/13.6M [00:00<00:00, 98.5MB/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)
- 86.1513 86.0908 90.0663 85.8697 0.4328
+ 86.5255 86.4826 88.7924 86.0693 0.3587
@@ -457,7 +457,7 @@ TODO
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 27.369 seconds)
+ **Total running time of the script:** ( 1 minutes 37.109 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 9bfadfaecb..454b2a0518 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)
- 111.1504 111.1092 111.9353 110.7266 0.2240
+ 107.3578 107.2343 114.7752 106.3129 1.0058
diff --git a/docs/_sources/how_to/deploy_models/deploy_quantized.rst.txt b/docs/_sources/how_to/deploy_models/deploy_quantized.rst.txt
index 08068678f9..44d554fd6c 100644
--- a/docs/_sources/how_to/deploy_models/deploy_quantized.rst.txt
+++ b/docs/_sources/how_to/deploy_models/deploy_quantized.rst.txt
@@ -257,7 +257,7 @@ We create a Relay VM to build and execute the model.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 59.636 seconds)
+ **Total running time of the script:** ( 1 minutes 45.251 seconds)
.. _sphx_glr_download_how_to_deploy_models_deploy_quantized.py:
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 3c939c0605..1a05152c70 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
@@ -5,26 +5,26 @@
Computation times
=================
-**11:43.483** total execution time for **how_to_deploy_models** files:
+**11:59.091** 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``) | 03:31.503 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_object_detection_pytorch.py` (``deploy_object_detection_pytorch.py``) | 03:38.432 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_quantized.py` (``deploy_quantized.py``) | 01:59.636 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_quantized.py` (``deploy_quantized.py``) | 01:45.251 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized.py` (``deploy_prequantized.py``) | 01:27.369 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized.py` (``deploy_prequantized.py``) | 01:37.109 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_adreno.py` (``deploy_model_on_adreno.py``) | 01:17.242 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_adreno.py` (``deploy_model_on_adreno.py``) | 01:18.663 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized_tflite.py` (``deploy_prequantized_tflite.py``) | 00:51.399 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_android.py` (``deploy_model_on_android.py``) | 00:57.082 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_android.py` (``deploy_model_on_android.py``) | 00:50.037 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized_tflite.py` (``deploy_prequantized_tflite.py``) | 00:50.881 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_adreno_tvmc.py` (``deploy_model_on_adreno_tvmc.py``) | 00:46.577 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_adreno_tvmc.py` (``deploy_model_on_adreno_tvmc.py``) | 00:45.197 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_nano.py` (``deploy_model_on_nano.py``) | 00:30.014 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_nano.py` (``deploy_model_on_nano.py``) | 00:33.522 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_rasp.py` (``deploy_model_on_rasp.py``) | 00:29.698 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_rasp.py` (``deploy_model_on_rasp.py``) | 00:32.947 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_how_to_deploy_models_deploy_sparse.py` (``deploy_sparse.py``) | 00:00.007 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/docs/_sources/how_to/extend_tvm/bring_your_own_datatypes.rst.txt b/docs/_sources/how_to/extend_tvm/bring_your_own_datatypes.rst.txt
index 1d9967d9ad..e2df810af8 100644
--- a/docs/_sources/how_to/extend_tvm/bring_your_own_datatypes.rst.txt
+++ b/docs/_sources/how_to/extend_tvm/bring_your_own_datatypes.rst.txt
@@ -463,7 +463,7 @@ First let us define two helper functions to get the mobilenet model and a cat im
.. code-block:: none
- Downloading /workspace/.mxnet/models/mobilenet0.25-9f83e440.zip7b05fe29-9cda-4127-8a61-c5e204d9c3ea from https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/models/mobilenet0.25-9f83e440.zip...
+ Downloading /workspace/.mxnet/models/mobilenet0.25-9f83e440.zipf73e2a6f-c09a-428f-b7cb-fee9d7a076cd from https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/models/mobilenet0.25-9f83e440.zip...
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 ef41165f45..a7cba6ce32 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
@@ -5,14 +5,14 @@
Computation times
=================
-**00:59.309** total execution time for **how_to_extend_tvm** files:
+**01:01.099** total execution time for **how_to_extend_tvm** files:
+-------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_extend_tvm_bring_your_own_datatypes.py` (``bring_your_own_datatypes.py``) | 00:55.236 | 0.0 MB |
+| :ref:`sphx_glr_how_to_extend_tvm_bring_your_own_datatypes.py` (``bring_your_own_datatypes.py``) | 00:57.351 | 0.0 MB |
+-------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_extend_tvm_use_pass_instrument.py` (``use_pass_instrument.py``) | 00:02.858 | 0.0 MB |
+| :ref:`sphx_glr_how_to_extend_tvm_use_pass_instrument.py` (``use_pass_instrument.py``) | 00:02.625 | 0.0 MB |
+-------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_extend_tvm_use_pass_infra.py` (``use_pass_infra.py``) | 00:01.207 | 0.0 MB |
+| :ref:`sphx_glr_how_to_extend_tvm_use_pass_infra.py` (``use_pass_infra.py``) | 00:01.116 | 0.0 MB |
+-------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_extend_tvm_low_level_custom_pass.py` (``low_level_custom_pass.py``) | 00:00.008 | 0.0 MB |
+| :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 bfec51d75c..aa295bd8e3 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: 25204us [25204us] (48.55%; 48.55%)
- FoldScaleAxis: 26713us [9us] (51.45%; 51.45%)
- FoldConstant: 26704us [1841us] (51.44%; 99.96%)
- InferType: 24862us [24862us] (47.89%; 93.10%)
+ InferType: 24150us [24150us] (48.82%; 48.82%)
+ FoldScaleAxis: 25321us [6us] (51.18%; 51.18%)
+ FoldConstant: 25315us [1780us] (51.17%; 99.98%)
+ InferType: 23534us [23534us] (47.57%; 92.97%)
@@ -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: 24769us [24769us] (48.40%; 48.40%)
- FoldScaleAxis: 26412us [7us] (51.60%; 51.60%)
- FoldConstant: 26405us [1865us] (51.59%; 99.97%)
- InferType: 24540us [24540us] (47.95%; 92.94%)
+ InferType: 23367us [23367us] (48.68%; 48.68%)
+ FoldScaleAxis: 24630us [6us] (51.32%; 51.32%)
+ FoldConstant: 24624us [1635us] (51.30%; 99.98%)
+ InferType: 22989us [22989us] (47.90%; 93.36%)
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 966296f810..6a06e955db 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: 53.510112 ms
+ Convolution: 38.704254 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 c2dd335f78..166a7ea6dc 100644
--- a/docs/_sources/how_to/optimize_operators/opt_conv_tensorcore.rst.txt
+++ b/docs/_sources/how_to/optimize_operators/opt_conv_tensorcore.rst.txt
@@ -598,7 +598,7 @@ be able to run on our build server
.. code-block:: none
- conv2d with tensor core: 11.662537 ms
+ conv2d with tensor core: 11.924982 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 3ba87fa58f..a4d1020ac6 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: 0.015975
- Baseline: 3.275939
+ Numpy running time: 0.018782
+ Baseline: 3.591461
@@ -227,7 +227,7 @@ fill 32 * 32 * sizeof(float) which is 4KB in the cache whose total size is 32KB
.. code-block:: none
- Opt1: 0.296591
+ Opt1: 0.312359
@@ -318,7 +318,7 @@ In this tutorial, we chose to vectorize the inner loop row data since it is cach
.. code-block:: none
- Opt2: 0.277526
+ Opt2: 0.293532
@@ -406,7 +406,7 @@ the access pattern for A matrix is more cache friendly.
.. code-block:: none
- Opt3: 0.116117
+ Opt3: 0.124875
@@ -523,7 +523,7 @@ flattening.
.. code-block:: none
- Opt4: 0.104702
+ Opt4: 0.105796
@@ -635,7 +635,7 @@ write to C when all the block results are ready.
.. code-block:: none
- Opt5: 0.097837
+ Opt5: 0.108872
@@ -748,7 +748,7 @@ Furthermore, we can also utilize multi-core processors to do the thread-level pa
.. code-block:: none
- Opt6: 0.116268
+ Opt6: 0.130246
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 454fd34ca5..8513b00a89 100644
--- a/docs/_sources/how_to/optimize_operators/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/optimize_operators/sg_execution_times.rst.txt
@@ -5,12 +5,12 @@
Computation times
=================
-**00:32.313** total execution time for **how_to_optimize_operators** files:
+**00:34.960** total execution time for **how_to_optimize_operators** files:
+-----------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_optimize_operators_opt_gemm.py` (``opt_gemm.py``) | 00:29.126 | 0.0 MB |
+| :ref:`sphx_glr_how_to_optimize_operators_opt_gemm.py` (``opt_gemm.py``) | 00:31.802 | 0.0 MB |
+-----------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_optimize_operators_opt_conv_tensorcore.py` (``opt_conv_tensorcore.py``) | 00:01.914 | 0.0 MB |
+| :ref:`sphx_glr_how_to_optimize_operators_opt_conv_tensorcore.py` (``opt_conv_tensorcore.py``) | 00:01.962 | 0.0 MB |
+-----------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_optimize_operators_opt_conv_cuda.py` (``opt_conv_cuda.py``) | 00:01.273 | 0.0 MB |
+| :ref:`sphx_glr_how_to_optimize_operators_opt_conv_cuda.py` (``opt_conv_cuda.py``) | 00:01.196 | 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 8c9954432a..1d1a6162c6 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
=================
-**03:36.833** total execution time for **how_to_tune_with_autoscheduler** files:
+**03:47.277** 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``) | 01:33.484 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_x86.py` (``tune_network_x86.py``) | 01:37.977 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_cuda.py` (``tune_network_cuda.py``) | 01:13.463 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_cuda.py` (``tune_network_cuda.py``) | 01:14.840 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_arm.py` (``tune_network_arm.py``) | 00:18.120 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_arm.py` (``tune_network_arm.py``) | 00:19.972 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_mali.py` (``tune_network_mali.py``) | 00:16.710 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_mali.py` (``tune_network_mali.py``) | 00:18.384 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_conv2d_layer_cuda.py` (``tune_conv2d_layer_cuda.py``) | 00:14.955 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_conv2d_layer_cuda.py` (``tune_conv2d_layer_cuda.py``) | 00:16.006 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_sparse_x86.py` (``tune_sparse_x86.py``) | 00:00.102 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_sparse_x86.py` (``tune_sparse_x86.py``) | 00:00.099 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/docs/_sources/how_to/tune_with_autoscheduler/tune_conv2d_layer_cuda.rst.txt b/docs/_sources/how_to/tune_with_autoscheduler/tune_conv2d_layer_cuda.rst.txt
index 1f0fb9db63..fb06a4677d 100644
--- a/docs/_sources/how_to/tune_with_autoscheduler/tune_conv2d_layer_cuda.rst.txt
+++ b/docs/_sources/how_to/tune_with_autoscheduler/tune_conv2d_layer_cuda.rst.txt
@@ -766,7 +766,7 @@ We build the binary and check its correctness and performance.
.. code-block:: none
- Execution time of this operator: 0.338 ms
+ Execution time of this operator: 0.346 ms
diff --git a/docs/_sources/how_to/tune_with_autoscheduler/tune_network_cuda.rst.txt b/docs/_sources/how_to/tune_with_autoscheduler/tune_network_cuda.rst.txt
index d5d1b93eb9..2deacf974e 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
@@ -647,7 +647,7 @@ 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)
- 3.1914 3.1915 3.1918 3.1909 0.0004
+ 3.2375 3.2421 3.2441 3.2264 0.0079
@@ -674,7 +674,7 @@ Other Tips
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 13.463 seconds)
+ **Total running time of the script:** ( 1 minutes 14.840 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 e101a7415d..c0079df6c0 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
@@ -666,7 +666,7 @@ so we can read the log file and load the best schedules.
Evaluate inference time cost...
Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 764.0251 763.9178 764.5126 763.6449 0.3623
+ 750.9185 749.6859 753.4208 749.6489 1.7695
@@ -693,7 +693,7 @@ Other Tips
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 33.484 seconds)
+ **Total running time of the script:** ( 1 minutes 37.977 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 ebca59cd59..12dd719a7b 100644
--- a/docs/_sources/how_to/tune_with_autotvm/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/tune_with_autotvm/sg_execution_times.rst.txt
@@ -5,16 +5,16 @@
Computation times
=================
-**00:22.527** total execution time for **how_to_tune_with_autotvm** files:
+**00:24.489** 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``) | 00:22.490 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_conv2d_cuda.py` (``tune_conv2d_cuda.py``) | 00:24.451 | 0.0 MB |
+--------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_x86.py` (``tune_relay_x86.py``) | 00:00.021 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_x86.py` (``tune_relay_x86.py``) | 00:00.022 | 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 |
-+--------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_arm.py` (``tune_relay_arm.py``) | 00:00.005 | 0.0 MB |
+--------------------------------------------------------------------------------------------------+-----------+--------+
+| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_mobile_gpu.py` (``tune_relay_mobile_gpu.py``) | 00:00.005 | 0.0 MB |
++--------------------------------------------------------------------------------------------------+-----------+--------+
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 e17974c8e8..b0d89c7a7c 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: 0.037055
+ Time cost of this operator: 0.037089
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 1285f6242f..0304bcbd81 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 304.8 98.71 (1, 2, 10, 10, 3) 2 1 [304.8]
- tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 3.021 0.978 (1, 6, 10, 10) 1 1 [3.021]
- tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.962 0.311 (1, 1, 10, 10, 3) 1 1 [0.962]
- Total_time - 308.782 - - - - -
+ tvmgen_default_fused_nn_contrib_conv2d_NCHWc tvmgen_default_fused_nn_contrib_conv2d_NCHWc 294.5 98.725 (1, 2, 10, 10, 3) 2 1 [294.5]
+ tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 2.871 0.962 (1, 6, 10, 10) 1 1 [2.871]
+ tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.933 0.313 (1, 1, 10, 10, 3) 1 1 [0.933]
+ Total_time - 298.304 - - - - -
@@ -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 135.6 98.098 (1, 6, 10, 10, 1) 2 1 [135.6]
- tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 1.773 1.283 (1, 6, 10, 10) 1 1 [1.773]
- tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.855 0.619 (1, 3, 10, 10, 1) 1 1 [0.855]
- Total_time - 138.228 - - - - -
+ tvmgen_default_fused_nn_contrib_conv2d_NCHWc tvmgen_default_fused_nn_contrib_conv2d_NCHWc 97.938 97.363 (1, 6, 10, 10, 1) 2 1 [97.938]
+ tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 1.705 1.695 (1, 6, 10, 10) 1 1 [1.705]
+ tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.948 0.942 (1, 1, 10, 10, 3) 1 1 [0.948]
+ Total_time - 100.59 - - - - -
@@ -439,7 +439,7 @@ Timing the tuned program
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 17.103 seconds)
+ **Total running time of the script:** ( 1 minutes 13.544 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 2707316e59..57ba9c4eaa 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]
100%|##########| 3.42M/3.42M [00:00<00:00, 207MB/s]
+
0%| | 0.00/3.42M [00:00<?, ?B/s]
100%|##########| 3.42M/3.42M [00:00<00:00, 107MB/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 29.716 seconds)
+ **Total running time of the script:** ( 1 minutes 32.140 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 bde0c25ba7..424bf23e36 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/tmpk08_4m_c/images/random'
+ '/tmp/tmp9bezrz2s/images/random'
@@ -317,8 +317,8 @@ objects to other stuff? We can display some examples from our datasets using ``m
.. code-block:: none
- /tmp/tmpk08_4m_c/images/target contains 8144 images
- /tmp/tmpk08_4m_c/images/random contains 5000 images
+ /tmp/tmp9bezrz2s/images/target contains 8144 images
+ /tmp/tmp9bezrz2s/images/random contains 5000 images
@@ -493,13 +493,13 @@ the time on our validation set).
.. code-block:: none
Epoch 1/3
- 328/328 - 40s - loss: 0.2428 - accuracy: 0.9180 - val_loss: 0.1277 - val_accuracy: 0.9603 - 40s/epoch - 122ms/step
+ 328/328 - 39s - loss: 0.2084 - accuracy: 0.9259 - val_loss: 0.1176 - val_accuracy: 0.9585 - 39s/epoch - 118ms/step
Epoch 2/3
- 328/328 - 36s - loss: 0.1010 - accuracy: 0.9638 - val_loss: 0.1126 - val_accuracy: 0.9622 - 36s/epoch - 109ms/step
+ 328/328 - 34s - loss: 0.0954 - accuracy: 0.9652 - val_loss: 0.0882 - val_accuracy: 0.9687 - 34s/epoch - 105ms/step
Epoch 3/3
- 328/328 - 35s - loss: 0.0651 - accuracy: 0.9756 - val_loss: 0.1043 - val_accuracy: 0.9690 - 35s/epoch - 108ms/step
+ 328/328 - 34s - loss: 0.0624 - accuracy: 0.9754 - val_loss: 0.0815 - val_accuracy: 0.9739 - 34s/epoch - 104ms/step
- <keras.callbacks.History object at 0x7fe9b3bd0b80>
+ <keras.callbacks.History object at 0x7f6733a71eb0>
@@ -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 34.131 seconds)
+ **Total running time of the script:** ( 4 minutes 9.068 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 6fff796330..236c20957e 100644
--- a/docs/_sources/how_to/work_with_microtvm/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/work_with_microtvm/sg_execution_times.rst.txt
@@ -5,20 +5,20 @@
Computation times
=================
-**07:49.873** total execution time for **how_to_work_with_microtvm** files:
+**07:23.843** total execution time for **how_to_work_with_microtvm** files:
+-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_train.py` (``micro_train.py``) | 04:34.131 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_train.py` (``micro_train.py``) | 04:09.068 | 0.0 MB |
+-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_pytorch.py` (``micro_pytorch.py``) | 01:29.716 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_pytorch.py` (``micro_pytorch.py``) | 01:32.140 | 0.0 MB |
+-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_autotune.py` (``micro_autotune.py``) | 01:17.103 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_autotune.py` (``micro_autotune.py``) | 01:13.544 | 0.0 MB |
+-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_aot.py` (``micro_aot.py``) | 00:11.502 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_aot.py` (``micro_aot.py``) | 00:12.212 | 0.0 MB |
+-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_custom_ide.py` (``micro_custom_ide.py``) | 00:09.078 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_tflite.py` (``micro_tflite.py``) | 00:08.497 | 0.0 MB |
+-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_tflite.py` (``micro_tflite.py``) | 00:08.343 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_custom_ide.py` (``micro_custom_ide.py``) | 00:08.382 | 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 4f5c73ddee..0a1affd8f2 100644
--- a/docs/_sources/how_to/work_with_relay/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/work_with_relay/sg_execution_times.rst.txt
@@ -5,14 +5,14 @@
Computation times
=================
-**00:38.207** total execution time for **how_to_work_with_relay** files:
+**00:40.575** total execution time for **how_to_work_with_relay** files:
+----------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_relay_using_pipeline_executor.py` (``using_pipeline_executor.py``) | 00:33.222 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_relay_using_pipeline_executor.py` (``using_pipeline_executor.py``) | 00:35.038 | 0.0 MB |
+----------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_relay_using_external_lib.py` (``using_external_lib.py``) | 00:03.086 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_relay_using_external_lib.py` (``using_external_lib.py``) | 00:03.363 | 0.0 MB |
+----------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_relay_build_gcn.py` (``build_gcn.py``) | 00:01.893 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_relay_build_gcn.py` (``build_gcn.py``) | 00:02.167 | 0.0 MB |
+----------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_how_to_work_with_relay_using_relay_viz.py` (``using_relay_viz.py``) | 00:00.006 | 0.0 MB |
+----------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/docs/_sources/how_to/work_with_schedules/intrin_math.rst.txt b/docs/_sources/how_to/work_with_schedules/intrin_math.rst.txt
index 259378aa08..ccf08109d0 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 0x7fe9b3343040>
+ <function my_cuda_math_rule at 0x7f6919769ee0>
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 a896f7c51e..5ebf400196 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
=================
-**00:05.678** total execution time for **how_to_work_with_schedules** files:
+**00:05.668** total execution time for **how_to_work_with_schedules** files:
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_intrin_math.py` (``intrin_math.py``) | 00:02.538 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_intrin_math.py` (``intrin_math.py``) | 00:02.534 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_tensorize.py` (``tensorize.py``) | 00:01.433 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_tensorize.py` (``tensorize.py``) | 00:01.422 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_reduction.py` (``reduction.py``) | 00:00.719 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_reduction.py` (``reduction.py``) | 00:00.708 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_how_to_work_with_schedules_scan.py` (``scan.py``) | 00:00.706 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_extern_op.py` (``extern_op.py``) | 00:00.115 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_extern_op.py` (``extern_op.py``) | 00:00.116 | 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``) | 00:00.078 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_tedd.py` (``tedd.py``) | 00:00.066 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_schedule_primitives.py` (``schedule_primitives.py``) | 00:00.067 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_tuple_inputs.py` (``tuple_inputs.py``) | 00:00.031 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_tuple_inputs.py` (``tuple_inputs.py``) | 00:00.037 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/docs/_sources/topic/vta/tutorials/autotvm/sg_execution_times.rst.txt b/docs/_sources/topic/vta/tutorials/autotvm/sg_execution_times.rst.txt
index d111a2c178..b6ee44cf9e 100644
--- a/docs/_sources/topic/vta/tutorials/autotvm/sg_execution_times.rst.txt
+++ b/docs/_sources/topic/vta/tutorials/autotvm/sg_execution_times.rst.txt
@@ -5,10 +5,10 @@
Computation times
=================
-**00:36.079** total execution time for **topic_vta_tutorials_autotvm** files:
+**00:35.069** total execution time for **topic_vta_tutorials_autotvm** files:
+---------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_autotvm_tune_relay_vta.py` (``tune_relay_vta.py``) | 00:36.072 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_autotvm_tune_relay_vta.py` (``tune_relay_vta.py``) | 00:35.061 | 0.0 MB |
+---------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_autotvm_tune_alu_vta.py` (``tune_alu_vta.py``) | 00:00.008 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_autotvm_tune_alu_vta.py` (``tune_alu_vta.py``) | 00:00.007 | 0.0 MB |
+---------------------------------------------------------------------------------------+-----------+--------+
diff --git a/docs/_sources/topic/vta/tutorials/frontend/deploy_classification.rst.txt b/docs/_sources/topic/vta/tutorials/frontend/deploy_classification.rst.txt
index 6727a13744..7567449cf2 100644
--- a/docs/_sources/topic/vta/tutorials/frontend/deploy_classification.rst.txt
+++ b/docs/_sources/topic/vta/tutorials/frontend/deploy_classification.rst.txt
@@ -293,7 +293,7 @@ The compilation steps are:
warnings.warn(
/workspace/vta/tutorials/frontend/deploy_classification.py:212: DeprecationWarning: legacy graph executor behavior of producing json / lib / params will be removed in the next release. Please see documents of tvm.contrib.graph_executor.GraphModule for the new recommended usage.
graph, lib, params = relay.build(
- resnet18_v1 inference graph built in 38.48s!
+ resnet18_v1 inference graph built in 39.61s!
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 8886dd329d..8001b9ef6e 100644
--- a/docs/_sources/topic/vta/tutorials/frontend/deploy_detection.rst.txt
+++ b/docs/_sources/topic/vta/tutorials/frontend/deploy_detection.rst.txt
@@ -337,7 +337,7 @@ The compilation steps are:
/workspace/python/tvm/relay/build_module.py:345: DeprecationWarning: Please use input parameter mod (tvm.IRModule) instead of deprecated parameter mod (tvm.relay.function.Function)
warnings.warn(
- yolov3-tiny inference graph built in 26.14s!
+ yolov3-tiny inference graph built in 24.25s!
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 c663ba1350..4a53cc50ae 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
@@ -5,10 +5,10 @@
Computation times
=================
-**01:59.160** total execution time for **topic_vta_tutorials_frontend** files:
+**01:56.353** total execution time for **topic_vta_tutorials_frontend** files:
+------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_frontend_deploy_detection.py` (``deploy_detection.py``) | 00:59.682 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_frontend_deploy_classification.py` (``deploy_classification.py``) | 00:59.825 | 0.0 MB |
+------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_frontend_deploy_classification.py` (``deploy_classification.py``) | 00:59.477 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_frontend_deploy_detection.py` (``deploy_detection.py``) | 00:56.529 | 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 fa8f9dab7e..8acb521d2a 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
=================
-**00:03.350** total execution time for **topic_vta_tutorials_optimize** files:
+**00:03.187** total execution time for **topic_vta_tutorials_optimize** files:
+--------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_optimize_convolution_opt.py` (``convolution_opt.py``) | 00:02.844 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_optimize_convolution_opt.py` (``convolution_opt.py``) | 00:02.712 | 0.0 MB |
+--------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_optimize_matrix_multiply_opt.py` (``matrix_multiply_opt.py``) | 00:00.506 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_optimize_matrix_multiply_opt.py` (``matrix_multiply_opt.py``) | 00:00.474 | 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 40c140ac0b..f355f8b00a 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
=================
-**00:00.833** total execution time for **topic_vta_tutorials** files:
+**00:00.806** total execution time for **topic_vta_tutorials** files:
+---------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_matrix_multiply.py` (``matrix_multiply.py``) | 00:00.429 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_matrix_multiply.py` (``matrix_multiply.py``) | 00:00.419 | 0.0 MB |
+---------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_vta_get_started.py` (``vta_get_started.py``) | 00:00.404 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_vta_get_started.py` (``vta_get_started.py``) | 00:00.387 | 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 cf75f59040..f56c122b4c 100644
--- a/docs/_sources/tutorial/auto_scheduler_matmul_x86.rst.txt
+++ b/docs/_sources/tutorial/auto_scheduler_matmul_x86.rst.txt
@@ -318,7 +318,7 @@ We build the binary and check its correctness and performance.
.. code-block:: none
- Execution time of this operator: 92.299 ms
+ Execution time of this operator: 91.337 ms
@@ -416,7 +416,7 @@ resume the status and do more 5 trials.
.. code-block:: none
Resume search:
- *E*E*E
+
@@ -434,7 +434,7 @@ operations.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 2 minutes 3.258 seconds)
+ **Total running time of the script:** ( 1 minutes 32.260 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 10f3f0b7c6..72d529a974 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: 10.58/10.58 result: MeasureResult(costs=(0.0253827596,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6824214458465576, timestamp=1706058127.587138) [('tile_y', [-1, 2]), ('tile_x', [-1, 16])],None,41
- No: 2 GFLOPS: 15.31/15.31 result: MeasureResult(costs=(0.0175351962,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.5581717491149902, timestamp=1706058128.131953) [('tile_y', [-1, 16]), ('tile_x', [-1, 128])],None,74
- No: 3 GFLOPS: 8.12/15.31 result: MeasureResult(costs=(0.0330442834,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7833666801452637, timestamp=1706058128.9169834) [('tile_y', [-1, 2]), ('tile_x', [-1, 8])],None,31
- No: 4 GFLOPS: 2.10/15.31 result: MeasureResult(costs=(0.1277370618,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.328038215637207, timestamp=1706058131.2344794) [('tile_y', [-1, 128]), ('tile_x', [-1, 4])],None,27
- No: 5 GFLOPS: 9.15/15.31 result: MeasureResult(costs=(0.0293452378,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7915079593658447, timestamp=1706058132.1371768) [('tile_y', [-1, 512]), ('tile_x', [-1, 128])],None,79
- No: 6 GFLOPS: 0.46/15.31 result: MeasureResult(costs=(0.5858177576,), error_no=MeasureErrorNo.NO_ERROR, all_cost=9.624616384506226, timestamp=1706058141.7742934) [('tile_y', [-1, 512]), ('tile_x', [-1, 1])],None,9
- No: 7 GFLOPS: 11.95/15.31 result: MeasureResult(costs=(0.022454122200000003,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6183779239654541, timestamp=1706058142.3996902) [('tile_y', [-1, 2]), ('tile_x', [-1, 256])],None,81
- No: 8 GFLOPS: 11.39/15.31 result: MeasureResult(costs=(0.0235755302,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6875507831573486, timestamp=1706058143.0416315) [('tile_y', [-1, 4]), ('tile_x', [-1, 128])],None,72
- No: 9 GFLOPS: 13.32/15.31 result: MeasureResult(costs=(0.0201566798,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.5666825771331787, timestamp=1706058143.7179673) [('tile_y', [-1, 8]), ('tile_x', [-1, 256])],None,83
- No: 10 GFLOPS: 1.44/15.31 result: MeasureResult(costs=(0.1865955892,), error_no=MeasureErrorNo.NO_ERROR, all_cost=3.2103676795959473, timestamp=1706058146.9779055) [('tile_y', [-1, 1]), ('tile_x', [-1, 1])],None,0
+ No: 1 GFLOPS: 2.01/2.01 result: MeasureResult(costs=(0.13325683819999998,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.385737419128418, timestamp=1706073963.0827827) [('tile_y', [-1, 512]), ('tile_x', [-1, 4])],None,29
+ No: 2 GFLOPS: 2.10/2.10 result: MeasureResult(costs=(0.12770792520000002,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.313469648361206, timestamp=1706073965.3761868) [('tile_y', [-1, 128]), ('tile_x', [-1, 4])],None,27
+ No: 3 GFLOPS: 2.09/2.10 result: MeasureResult(costs=(0.12869398920000003,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.3024470806121826, timestamp=1706073967.6844275) [('tile_y', [-1, 64]), ('tile_x', [-1, 4])],None,26
+ No: 4 GFLOPS: 10.79/10.79 result: MeasureResult(costs=(0.0248675244,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6688547134399414, timestamp=1706073968.3328793) [('tile_y', [-1, 8]), ('tile_x', [-1, 32])],None,53
+ No: 5 GFLOPS: 7.67/10.79 result: MeasureResult(costs=(0.034998797799999995,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.8425083160400391, timestamp=1706073969.2930872) [('tile_y', [-1, 32]), ('tile_x', [-1, 16])],None,45
+ No: 6 GFLOPS: 2.43/10.79 result: MeasureResult(costs=(0.11058559720000001,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.9967355728149414, timestamp=1706073971.3042562) [('tile_y', [-1, 1]), ('tile_x', [-1, 2])],None,10
+ No: 7 GFLOPS: 3.88/10.79 result: MeasureResult(costs=(0.0692536836,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.3743910789489746, timestamp=1706073972.6627479) [('tile_y', [-1, 32]), ('tile_x', [-1, 8])],None,35
+ No: 8 GFLOPS: 14.47/14.47 result: MeasureResult(costs=(0.0185522044,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.5479202270507812, timestamp=1706073973.2147229) [('tile_y', [-1, 16]), ('tile_x', [-1, 32])],None,54
+ No: 9 GFLOPS: 11.61/14.47 result: MeasureResult(costs=(0.0231120046,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.5830564498901367, timestamp=1706073973.9061275) [('tile_y', [-1, 256]), ('tile_x', [-1, 512])],None,98
+ No: 10 GFLOPS: 0.53/14.47 result: MeasureResult(costs=(0.5109108028,), error_no=MeasureErrorNo.NO_ERROR, all_cost=8.383572578430176, timestamp=1706073982.3325121) [('tile_y', [-1, 256]), ('tile_x', [-1, 1])],None,8
diff --git a/docs/_sources/tutorial/autotvm_relay_x86.rst.txt b/docs/_sources/tutorial/autotvm_relay_x86.rst.txt
index 2c554ec804..48755fac26 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': 472.7061919899279, 'median': 471.73933570011286, 'std': 2.0173617951003946}
+ {'mean': 476.09278967999217, 'median': 475.80901680000807, 'std': 2.364623297288753}
@@ -582,31 +582,29 @@ the tuning data to.
.. code-block:: none
-
[Task 1/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 1/25] Current/Best: 10.85/ 22.48 GFLOPS | Progress: (4/20) | 7.76 s
[Task 1/25] Current/Best: 14.72/ 22.48 GFLOPS | Progress: (8/20) | 12.09 s
[Task 1/25] Current/Best: 12.50/ 22.48 GFLOPS | Progress: (12/20) | 15.52 s
[Task 1/25] Current/Best: 20.09/ 22.48 GFLOPS | Progress: (16/20) | 17.45 s
[Task 1/25] Current/Best: 14.26/ 22.48 GFLOPS | Progress: (20/20) | 21.13 s Done.
-
[Task 2/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 2/25] Current/Best: 15.14/ 15.73 GFLOPS | Progress: (4/20) | 4.08 s
[Task 2/25] Current/Best: 12.66/ 15.73 GFLOPS | Progress: (8/20) | 6.81 s
[Task 2/25] Current/Best: 19.80/ 19.80 GFLOPS | Progress: (12/20) | 8.37 s
[Task 2/25] Current/Best: 19.77/ 19.80 GFLOPS | Progress: (16/20) | 10.07 s
[Task 2/25] Current/Best: 17.12/ 19.80 GFLOPS | Progress: (20/20) | 12.74 s Done.
-
[Task 3/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 3/25] Current/Best: 17.06/ 17.06 GFLOPS | Progress: (4/20) | 5.50 s
[Task 3/25] Current/Best: 17.69/ 21.50 GFLOPS | Progress: (8/20) | 7.77 s
[Task 3/25] Current/Best: 22.41/ 22.41 GFLOPS | Progress: (12/20) | 10.01 s
[Task 3/25] Current/Best: 11.76/ 22.41 GFLOPS | Progress: (16/20) | 12.80 s
[Task 3/25] Current/Best: 12.66/ 22.41 GFLOPS | Progress: (20/20) | 15.23 s Done.
-
[Task 4/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 4/25] Current/Best: 16.32/ 16.32 GFLOPS | Progress: (4/20) | 6.65 s
[Task 4/25] Current/Best: 22.48/ 22.48 GFLOPS | Progress: (8/20) | 8.41 s
[Task 4/25] Current/Best: 12.52/ 22.48 GFLOPS | Progress: (12/20) | 13.38 s
[Task 4/25] Current/Best: 8.13/ 22.48 GFLOPS | Progress: (16/20) | 15.34 s
[Task 4/25] Current/Best: 7.48/ 22.48 GFLOPS | Progress: (20/20) | 20.70 s Done.
-
[Task 5/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 5/25] Current/Best: 8.74/ 13.49 GFLOPS | Progress: (4/20) | 4.46 s
[Task 5/25] Current/Best: 9.03/ 18.58 GFLOPS | Progress: (8/20) | 6.64 s
[Task 5/25] Current/Best: 14.20/ 18.58 GFLOPS | Progress: (12/20) | 8.65 s
[Task 5/25] Current/Best: 5.09/ 18.58 GFLOPS | Progress: (16/20) | 10.68 s
[Task 5/25] Current/Best: 14.49/ 18.58 GFLOPS | Progress: (20/20) | 12.98 s Done.
-
[Task 6/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 6/25] Current/Best: 18.15/ 18.15 GFLOPS | Progress: (4/20) | 6.38 s
[Task 6/25] Current/Best: 15.60/ 18.15 GFLOPS | Progress: (8/20) | 9.83 s
[Task 6/25] Current/Best: 16.98/ 19.83 GFLOPS | Progress: (12/20) | 12.21 s
[Task 6/25] Current/Best: 2.80/ 19.83 GFLOPS | Progress: (16/20) | 17.76 s
[Task 6/25] Current/Best: 11.42/ 19.93 GFLOPS | Progress: (20/20) | 19.94 s Done.
-
[Task 7/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 7/25] Current/Best: 12.85/ 15.67 GFLOPS | Progress: (4/20) | 5.65 s
[Task 7/25] Current/Best: 5.22/ 18.21 GFLOPS | Progress: (8/20) | 8.41 s
[Task 7/25] Current/Best: 9.58/ 18.21 GFLOPS | Progress: (12/20) | 10.98 s
[Task 7/25] Current/Best: 15.53/ 18.21 GFLOPS | Progress: (16/20) | 14.79 s
[Task 7/25] Current/Best: 8.81/ 22.37 GFLOPS | Progress: (20/20) | 17.19 s Done.
-
[Task 8/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 8/25] Current/Best: 14.08/ 14.08 GFLOPS | Progress: (4/20) | 8.82 s
[Task 8/25] Current/Best: 17.46/ 17.46 GFLOPS | Progress: (8/20) | 13.04 s
[Task 8/25] Current/Best: 10.37/ 17.46 GFLOPS | Progress: (12/20) | 24.66 s
[Task 8/25] Current/Best: 7.37/ 17.46 GFLOPS | Progress: (16/20) | 36.39 s
[Task 8/25] Current/Best: 2.83/ 18.04 GFLOPS | Progress: (20/20) | 39.41 s
[Task 9/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 9/25] Current/Best: 15.73/ 20.03 GFLOPS | Progress: (4/20) | 5.41 s
[Task 9/25] Current/Best: 8.46/ 20.03 GFLOPS | Progress: (8/20) | 12.10 s
[Task 9/25] Current/Best: 11.88/ 20.03 GFLOPS | Progress: (12/20) | 14.42 s
[Task 9/25] Current/Best: 15.81/ 20.03 GFLOPS | Progress: (16/20) | 17.61 s
[Task 9/25] Current/Best: 15.78/ 20.03 GFLOPS | Progress: (20/
20) | 21.66 s Done.
-
[Task 10/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 10/25] Current/Best: 14.99/ 20.98 GFLOPS | Progress: (4/20) | 5.08 s
[Task 10/25] Current/Best: 18.99/ 21.75 GFLOPS | Progress: (8/20) | 7.00 s
[Task 10/25] Current/Best: 12.78/ 21.75 GFLOPS | Progress: (12/20) | 9.89 s
[Task 10/25] Current/Best: 17.68/ 21.75 GFLOPS | Progress: (16/20) | 11.61 s
[Task 10/25] Current/Best: 16.78/ 21.75 GFLOPS | Progress: (20/20) | 14.30 s Done.
-
[Task 11/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 11/25] Current/Best: 6.35/ 21.08 GFLOPS | Progress: (4/20) | 4.70 s
[Task 11/25] Current/Best: 7.29/ 21.08 GFLOPS | Progress: (8/20) | 7.41 s
[Task 11/25] Current/Best: 10.13/ 21.91 GFLOPS | Progress: (12/20) | 9.51 s
[Task 11/25] Current/Best: 21.53/ 21.91 GFLOPS | Progress: (16/20) | 11.76 s
[Task 11/25] Current/Best: 11.75/ 21.91 GFLOPS | Progress: (20/20) | 14.27 s Done.
-
[Task 12/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 12/25] Current/Best: 16.54/ 16.75 GFLOPS | Progress: (4/20) | 5.77 s
[Task 12/25] Current/Best: 18.24/ 18.24 GFLOPS | Progress: (8/20) | 8.65 s
[Task 12/25] Current/Best: 21.10/ 21.10 GFLOPS | Progress: (12/20) | 10.65 s
[Task 12/25] Current/Best: 15.03/ 21.10 GFLOPS | Progress: (16/20) | 12.84 s
[Task 12/25] Current/Best: 13.96/ 21.33 GFLOPS | Progress: (20/20) | 15.84 s Done.
-
[Task 13/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 13/25] Current/Best: 8.00/ 20.56 GFLOPS | Progress: (4/20) | 5.53 s
[Task 13/25] Current/Best: 19.83/ 20.56 GFLOPS | Progress: (8/20) | 7.85 s
[Task 13/25] Current/Best: 16.29/ 20.56 GFLOPS | Progress: (12/20) | 11.99 s
[Task 13/25] Current/Best: 12.57/ 20.56 GFLOPS | Progress: (16/20) | 14.71 s
[Task 13/25] Current/Best: 5.11/ 20.56 GFLOPS | Progress: (20/20) | 19.09 s Done.
-
[Task 14/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 14/25] Current/Best: 18.17/ 18.17 GFLOPS | Progress: (4/20) | 9.80 s
[Task 14/25] Current/Best: 22.03/ 22.03 GFLOPS | Progress: (8/20) | 19.28 s
[Task 14/25] Current/Best: 11.93/ 22.03 GFLOPS | Progress: (12/20) | 30.66 s
[Task 14/25] Current/Best: 12.56/ 22.03 GFLOPS | Progress: (16/20) | 39.33 s
[Task 14/25] Current/Best: 19.63/ 22.03 GFLOPS | Progress: (20/20) | 44.21 s
[Task 15/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 15/25] Current/Best: 14.15/ 22.03 GFLOPS | Progress: (4/20) | 4.21 s
[Task 15/25] Current/Best: 11.62/ 22.03 GFLOPS | Progress: (8/20) | 8.03 s
[Task 15/25] Current/Best: 21.52/ 22.03 GFLOPS | Progress: (12/20) | 19.04 s Done.
+
[Task 1/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 1/25] Current/Best: 24.75/ 24.75 GFLOPS | Progress: (4/20) | 7.22 s
[Task 1/25] Current/Best: 10.12/ 24.75 GFLOPS | Progress: (8/20) | 9.76 s
[Task 1/25] Current/Best: 20.55/ 24.75 GFLOPS | Progress: (12/20) | 11.89 s
[Task 1/25] Current/Best: 15.39/ 24.75 GFLOPS | Progress: (16/20) | 13.96 s
[Task 1/25] Current/Best: 22.87/ 24.75 GFLOPS | Progress: (20/20) | 16.03 s Done.
+
[Task 2/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 2/25] Current/Best: 20.91/ 20.91 GFLOPS | Progress: (4/20) | 4.02 s
[Task 2/25] Current/Best: 6.34/ 20.91 GFLOPS | Progress: (8/20) | 5.53 s
[Task 2/25] Current/Best: 6.68/ 20.91 GFLOPS | Progress: (12/20) | 7.30 s
[Task 2/25] Current/Best: 7.03/ 20.91 GFLOPS | Progress: (16/20) | 9.86 s
[Task 2/25] Current/Best: 3.64/ 20.91 GFLOPS | Progress: (20/20) | 11.74 s Done.
+
[Task 3/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 3/25] Current/Best: 13.37/ 19.52 GFLOPS | Progress: (4/20) | 4.78 s
[Task 3/25] Current/Best: 20.74/ 22.09 GFLOPS | Progress: (8/20) | 6.69 s
[Task 3/25] Current/Best: 10.31/ 22.09 GFLOPS | Progress: (12/20) | 9.05 s
[Task 3/25] Current/Best: 24.33/ 24.33 GFLOPS | Progress: (16/20) | 11.39 s
[Task 3/25] Current/Best: 10.34/ 24.33 GFLOPS | Progress: (20/20) | 13.87 s Done.
+
[Task 4/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 4/25] Current/Best: 14.72/ 14.72 GFLOPS | Progress: (4/20) | 5.08 s
[Task 4/25] Current/Best: 9.78/ 14.72 GFLOPS | Progress: (8/20) | 10.00 s
[Task 4/25] Current/Best: 11.72/ 17.80 GFLOPS | Progress: (12/20) | 11.92 s
[Task 4/25] Current/Best: 21.00/ 22.42 GFLOPS | Progress: (16/20) | 14.50 s
[Task 4/25] Current/Best: 15.88/ 22.42 GFLOPS | Progress: (20/20) | 16.44 s Done.
+
[Task 5/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 5/25] Current/Best: 3.95/ 11.22 GFLOPS | Progress: (4/20) | 4.57 s
[Task 5/25] Current/Best: 9.01/ 17.12 GFLOPS | Progress: (8/20) | 6.85 s
[Task 5/25] Current/Best: 7.01/ 19.65 GFLOPS | Progress: (12/20) | 9.01 s
[Task 5/25] Current/Best: 13.92/ 19.65 GFLOPS | Progress: (16/20) | 10.87 s
[Task 5/25] Current/Best: 8.34/ 19.65 GFLOPS | Progress: (20/20) | 13.21 s Done.
+
[Task 6/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 6/25] Current/Best: 14.59/ 16.56 GFLOPS | Progress: (4/20) | 4.77 s
[Task 6/25] Current/Best: 4.95/ 16.56 GFLOPS | Progress: (8/20) | 7.53 s
[Task 6/25] Current/Best: 14.16/ 17.84 GFLOPS | Progress: (12/20) | 10.94 s
[Task 6/25] Current/Best: 7.55/ 23.08 GFLOPS | Progress: (16/20) | 12.98 s
[Task 6/25] Current/Best: 3.66/ 23.08 GFLOPS | Progress: (20/20) | 16.25 s Done.
+
[Task 7/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 7/25] Current/Best: 20.16/ 21.16 GFLOPS | Progress: (4/20) | 4.53 s
[Task 7/25] Current/Best: 19.79/ 22.22 GFLOPS | Progress: (8/20) | 6.67 s
[Task 7/25] Current/Best: 9.28/ 22.22 GFLOPS | Progress: (12/20) | 9.38 s
[Task 7/25] Current/Best: 9.67/ 22.22 GFLOPS | Progress: (16/20) | 12.52 s
[Task 7/25] Current/Best: 7.79/ 22.22 GFLOPS | Progress: (20/20) | 15.20 s Done.
+
[Task 8/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 8/25] Current/Best: 8.24/ 18.96 GFLOPS | Progress: (4/20) | 9.53 s
[Task 8/25] Current/Best: 12.11/ 18.96 GFLOPS | Progress: (8/20) | 15.30 s
[Task 8/25] Current/Best: 12.86/ 18.96 GFLOPS | Progress: (12/20) | 20.66 s
[Task 8/25] Current/Best: 11.98/ 18.96 GFLOPS | Progress: (16/20) | 23.03 s
[Task 8/25] Current/Best: 3.96/ 18.96 GFLOPS | Progress: (20/20) | 26.24 s Done.
+
[Task 9/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 9/25] Current/Best: 13.08/ 17.57 GFLOPS | Progress: (4/20) | 4.58 s
[Task 9/25] Current/Best: 10.18/ 17.57 GFLOPS | Progress: (8/20) | 15.68 s
[Task 9/25] Current/Best: 12.82/ 17.57 GFLOPS | Progress: (12/20) | 18.40 s
[Task 9/25] Current/Best: 13.78/ 17.57 GFLOPS | Progress: (16/20) | 21.99 s
[Task 9/25] Current/Best: 9.84/ 17.57 GFLOPS | Progress: (20/20) | 25.00 s
[Task 10/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 10/25] Current/Best: 10.20/ 19.08 GFLOPS | Progress: (4/20) | 5.30 s
[Task 10/25] Current/Best: 5.90/ 19.08 GFLOPS | Progress: (8/20) | 7.83 s
[Task 10/25] Current/Best: 10.61/ 19.08 GFLOPS | Progress: (12/20) | 10.44 s
[Task 10/25] Current/Best: 11.84/ 19.08 GFLOPS | Progress: (16/20) | 12.34 s
[Task 10/25] Current/Best: 12.02/ 19.08 GFLOPS | Progress: (20/2
0) | 14.62 s Done.
+
[Task 11/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 11/25] Current/Best: 3.22/ 20.86 GFLOPS | Progress: (4/20) | 6.30 s
[Task 11/25] Current/Best: 12.77/ 20.86 GFLOPS | Progress: (8/20) | 8.64 s
[Task 11/25] Current/Best: 13.31/ 20.86 GFLOPS | Progress: (12/20) | 10.76 s
[Task 11/25] Current/Best: 3.22/ 20.86 GFLOPS | Progress: (16/20) | 13.59 s
[Task 11/25] Current/Best: 16.83/ 20.86 GFLOPS | Progress: (20/20) | 15.82 s Done.
+
[Task 12/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 12/25] Current/Best: 18.76/ 18.76 GFLOPS | Progress: (4/20) | 5.80 s
[Task 12/25] Current/Best: 18.03/ 18.76 GFLOPS | Progress: (8/20) | 10.49 s
[Task 12/25] Current/Best: 17.40/ 18.76 GFLOPS | Progress: (12/20) | 14.10 s
[Task 12/25] Current/Best: 8.86/ 18.76 GFLOPS | Progress: (16/20) | 16.28 s
[Task 12/25] Current/Best: 15.03/ 19.00 GFLOPS | Progress: (20/20) | 18.59 s Done.
+
[Task 13/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 13/25] Current/Best: 8.81/ 20.16 GFLOPS | Progress: (4/20) | 4.99 s
[Task 13/25] Current/Best: 9.30/ 20.16 GFLOPS | Progress: (8/20) | 8.08 s
[Task 13/25] Current/Best: 18.92/ 21.27 GFLOPS | Progress: (12/20) | 10.30 s
[Task 13/25] Current/Best: 12.60/ 21.27 GFLOPS | Progress: (16/20) | 13.40 s
[Task 13/25] Current/Best: 17.74/ 21.83 GFLOPS | Progress: (20/20) | 15.31 s Done.
+
[Task 14/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 14/25] Current/Best: 6.38/ 17.36 GFLOPS | Progress: (4/20) | 6.51 s
[Task 14/25] Current/Best: 9.82/ 19.57 GFLOPS | Progress: (8/20) | 8.59 s
[Task 14/25] Current/Best: 13.67/ 19.57 GFLOPS | Progress: (12/20) | 12.23 s
[Task 14/25] Current/Best: 18.19/ 19.57 GFLOPS | Progress: (16/20) | 14.24 s
[Task 14/25] Current/Best: 3.15/ 19.57 GFLOPS | Progress: (20/20) | 26.70 s
[Task 15/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 15/25] Current/Best: 8.58/ 13.61 GFLOPS | Progress: (4/20) | 7.22 s
[Task 15/25] Current/Best: 21.24/ 22.02 GFLOPS | Progress: (8/20) | 18.20 s Done.
Done.
-
[Task 15/25] Current/Best: 3.19/ 22.18 GFLOPS | Progress: (16/20) | 21.96 s
[Task 15/25] Current/Best: 22.94/ 22.94 GFLOPS | Progress: (20/20) | 23.84 s Done.
-
[Task 16/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 16/25] Current/Best: 18.97/ 19.83 GFLOPS | Progress: (4/20) | 3.93 s
[Task 16/25] Current/Best: 14.66/ 24.56 GFLOPS | Progress: (8/20) | 5.62 s
[Task 16/25] Current/Best: 18.48/ 24.56 GFLOPS | Progress: (12/20) | 7.58 s
[Task 16/25] Current/Best: 14.56/ 24.56 GFLOPS | Progress: (16/20) | 9.58 s
[Task 16/25] Current/Best: 18.41/ 24.56 GFLOPS | Progress: (20/20) | 12.63 s Done.
-
[Task 17/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 17/25] Current/Best: 9.59/ 23.36 GFLOPS | Progress: (4/20) | 5.26 s
[Task 17/25] Current/Best: 19.29/ 23.93 GFLOPS | Progress: (8/20) | 8.05 s
[Task 17/25] Current/Best: 9.96/ 23.93 GFLOPS | Progress: (12/20) | 10.63 s
[Task 17/25] Current/Best: 15.89/ 23.93 GFLOPS | Progress: (16/20) | 13.16 s
[Task 17/25] Current/Best: 9.71/ 23.93 GFLOPS | Progress: (20/20) | 15.42 s Done.
-
[Task 18/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 18/25] Current/Best: 14.35/ 14.35 GFLOPS | Progress: (4/20) | 6.07 s
[Task 18/25] Current/Best: 21.04/ 21.44 GFLOPS | Progress: (8/20) | 10.16 s
[Task 18/25] Current/Best: 12.74/ 21.44 GFLOPS | Progress: (12/20) | 16.34 s
[Task 18/25] Current/Best: 11.18/ 21.44 GFLOPS | Progress: (16/20) | 19.57 s
[Task 18/25] Current/Best: 6.50/ 21.44 GFLOPS | Progress: (20/20) | 22.24 s Done.
-
[Task 19/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 19/25] Current/Best: 8.76/ 15.65 GFLOPS | Progress: (4/20) | 8.62 s
[Task 19/25] Current/Best: 15.50/ 18.03 GFLOPS | Progress: (8/20) | 12.81 s
[Task 19/25] Current/Best: 3.19/ 21.03 GFLOPS | Progress: (12/20) | 16.90 s
[Task 19/25] Current/Best: 12.34/ 21.16 GFLOPS | Progress: (16/20) | 20.43 s
[Task 19/25] Current/Best: 6.35/ 21.16 GFLOPS | Progress: (20/20) | 24.62 s Done.
-
[Task 20/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 20/25] Current/Best: 19.41/ 19.41 GFLOPS | Progress: (4/20) | 4.41 s
[Task 20/25] Current/Best: 7.56/ 19.41 GFLOPS | Progress: (8/20) | 15.95 s
[Task 20/25] Current/Best: 14.74/ 19.41 GFLOPS | Progress: (12/20) | 22.88 s
[Task 20/25] Current/Best: 8.92/ 19.41 GFLOPS | Progress: (16/20) | 26.76 s
[Task 20/25] Current/Best: 16.42/ 19.41 GFLOPS | Progress: (20/20) | 36.18 s
[Task 21/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 21/25] Current/Best: 9.50/ 17.92 GFLOPS | Progress: (4/20) | 4.93 s
[Task 21/25] Current/Best: 21.10/ 21.10 GFLOPS | Progress: (8/20) | 7.52 s
[Task 21/25] Current/Best: 11.54/ 21.10 GFLOPS | Progress: (12/20) | 11.89 s
[Task 21/25] Current/Best: 8.74/ 21.10 GFLOPS | Progress: (16/20) | 13.72 s
[Task 21/25] Current/Best: 19.29/ 21.10 GFLOPS | Progress: (20/2
0) | 18.21 s Done.
-
[Task 22/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 22/25] Current/Best: 5.25/ 16.64 GFLOPS | Progress: (4/20) | 7.00 s
[Task 22/25] Current/Best: 17.65/ 19.18 GFLOPS | Progress: (8/20) | 9.16 s
[Task 22/25] Current/Best: 13.70/ 21.57 GFLOPS | Progress: (12/20) | 12.70 s
[Task 22/25] Current/Best: 21.73/ 23.11 GFLOPS | Progress: (16/20) | 14.29 s
[Task 22/25] Current/Best: 17.55/ 23.11 GFLOPS | Progress: (20/20) | 17.37 s Done.
-
[Task 23/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 23/25] Current/Best: 13.18/ 14.71 GFLOPS | Progress: (4/20) | 6.08 s
[Task 23/25] Current/Best: 10.12/ 18.29 GFLOPS | Progress: (8/20) | 8.70 s
[Task 23/25] Current/Best: 5.47/ 18.29 GFLOPS | Progress: (12/20) | 12.22 s
[Task 23/25] Current/Best: 11.43/ 19.98 GFLOPS | Progress: (16/20) | 17.04 s
[Task 23/25] Current/Best: 13.18/ 19.98 GFLOPS | Progress: (20/20) | 19.64 s Done.
-
[Task 24/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 24/25] Current/Best: 5.56/ 6.34 GFLOPS | Progress: (4/20) | 3.82 s
[Task 24/25] Current/Best: 2.34/ 6.40 GFLOPS | Progress: (8/20) | 14.54 s
[Task 24/25] Current/Best: 3.83/ 6.40 GFLOPS | Progress: (12/20) | 27.21 s
[Task 24/25] Current/Best: 3.51/ 8.42 GFLOPS | Progress: (16/20) | 38.22 s
[Task 24/25] Current/Best: 5.87/ 8.42 GFLOPS | Progress: (20/20) | 40.67 s
[Task 25/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s Done.
+
[Task 15/25] Current/Best: 8.47/ 22.02 GFLOPS | Progress: (12/20) | 29.42 s
[Task 15/25] Current/Best: 17.13/ 22.02 GFLOPS | Progress: (16/20) | 31.92 s
[Task 15/25] Current/Best: 16.86/ 22.02 GFLOPS | Progress: (20/20) | 33.62 s
[Task 16/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 16/25] Current/Best: 18.91/ 18.91 GFLOPS | Progress: (4/20) | 5.71 s
[Task 16/25] Current/Best: 18.35/ 18.91 GFLOPS | Progress: (8/20) | 8.05 s
[Task 16/25] Current/Best: 10.39/ 18.91 GFLOPS | Progress: (12/20) | 11.17 s
[Task 16/25] Current/Best: 20.17/ 20.17 GFLOPS | Progress: (16/20) | 12.96 s
[Task 16/25] Current/Best: 4.74/ 20.17 GFLOPS | Progress: (20/20) | 16.02 s Done.
+
[Task 17/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 17/25] Current/Best: 8.04/ 19.10 GFLOPS | Progress: (4/20) | 5.90 s
[Task 17/25] Current/Best: 12.70/ 20.35 GFLOPS | Progress: (8/20) | 8.43 s
[Task 17/25] Current/Best: 20.58/ 20.58 GFLOPS | Progress: (12/20) | 10.72 s
[Task 17/25] Current/Best: 6.36/ 20.58 GFLOPS | Progress: (16/20) | 13.78 s
[Task 17/25] Current/Best: 23.67/ 23.67 GFLOPS | Progress: (20/20) | 17.36 s Done.
+
[Task 18/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 18/25] Current/Best: 13.01/ 13.01 GFLOPS | Progress: (4/20) | 5.26 s
[Task 18/25] Current/Best: 7.19/ 22.93 GFLOPS | Progress: (8/20) | 7.98 s
[Task 18/25] Current/Best: 9.50/ 22.93 GFLOPS | Progress: (12/20) | 12.81 s
[Task 18/25] Current/Best: 7.80/ 22.93 GFLOPS | Progress: (16/20) | 18.22 s
[Task 18/25] Current/Best: 13.98/ 22.93 GFLOPS | Progress: (20/20) | 20.22 s Done.
+
[Task 19/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 19/25] Current/Best: 5.12/ 19.56 GFLOPS | Progress: (4/20) | 7.89 s
[Task 19/25] Current/Best: 10.86/ 19.56 GFLOPS | Progress: (8/20) | 11.99 s
[Task 19/25] Current/Best: 10.35/ 19.56 GFLOPS | Progress: (12/20) | 16.05 s
[Task 19/25] Current/Best: 6.37/ 19.56 GFLOPS | Progress: (16/20) | 19.25 s
[Task 19/25] Current/Best: 10.69/ 19.56 GFLOPS | Progress: (20/20) | 22.24 s Done.
+
[Task 20/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 20/25] Current/Best: 7.27/ 20.44 GFLOPS | Progress: (4/20) | 6.21 s
[Task 20/25] Current/Best: 9.15/ 20.44 GFLOPS | Progress: (8/20) | 12.41 s
[Task 20/25] Current/Best: 15.41/ 20.44 GFLOPS | Progress: (12/20) | 15.54 s
[Task 20/25] Current/Best: 12.86/ 20.44 GFLOPS | Progress: (16/20) | 27.27 s
[Task 20/25] Current/Best: 10.36/ 20.44 GFLOPS | Progress: (20/20) | 36.92 s
[Task 21/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 21/25] Current/Best: 23.20/ 23.20 GFLOPS | Progress: (4/20) | 10.61 s
[Task 21/25] Current/Best: 5.46/ 23.20 GFLOPS | Progress: (8/20) | 21.93 s
[Task 21/25] Current/Best: 19.34/ 23.20 GFLOPS | Progress: (12/20) | 32.94 s
[Task 21/25] Current/Best: 13.03/ 23.20 GFLOPS | Progress: (16/20) | 36.07 s
[Task 21/25] Current/Best: 17.08/ 23.20 GFLOPS | Progress: (20
/20) | 37.84 s
[Task 22/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 22/25] Current/Best: 8.84/ 17.18 GFLOPS | Progress: (4/20) | 4.22 s
[Task 22/25] Current/Best: 20.81/ 20.81 GFLOPS | Progress: (8/20) | 5.96 s
[Task 22/25] Current/Best: 9.65/ 22.57 GFLOPS | Progress: (12/20) | 8.04 s
[Task 22/25] Current/Best: 19.30/ 22.57 GFLOPS | Progress: (16/20) | 9.88 s
[Task 22/25] Current/Best: 6.37/ 22.57 GFLOPS | Progress: (20/20) | 11.86 s Done.
+
[Task 23/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 23/25] Current/Best: 11.23/ 20.60 GFLOPS | Progress: (4/20) | 5.68 s
[Task 23/25] Current/Best: 20.84/ 20.84 GFLOPS | Progress: (8/20) | 8.15 s
[Task 23/25] Current/Best: 13.30/ 20.84 GFLOPS | Progress: (12/20) | 11.83 s
[Task 23/25] Current/Best: 23.38/ 23.38 GFLOPS | Progress: (16/20) | 15.48 s
[Task 23/25] Current/Best: 18.47/ 23.38 GFLOPS | Progress: (20/20) | 19.59 s Done.
+
[Task 24/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s Done.
Done.
-
[Task 25/25] Current/Best: 5.15/ 8.00 GFLOPS | Progress: (4/20) | 4.57 s
[Task 25/25] Current/Best: 1.60/ 8.00 GFLOPS | Progress: (8/20) | 10.37 s
[Task 25/25] Current/Best: 8.30/ 8.30 GFLOPS | Progress: (12/20) | 21.30 s
[Task 25/25] Current/Best: 3.10/ 8.30 GFLOPS | Progress: (16/20) | 32.29 s
[Task 25/25] Current/Best: 1.59/ 9.35 GFLOPS | Progress: (20/20) | 34.83 s
+
[Task 24/25] Current/Best: 5.59/ 5.59 GFLOPS | Progress: (4/20) | 12.71 s
[Task 24/25] Current/Best: 3.82/ 8.45 GFLOPS | Progress: (8/20) | 25.15 s
[Task 24/25] Current/Best: 6.14/ 8.45 GFLOPS | Progress: (12/20) | 37.18 s
[Task 24/25] Current/Best: 3.80/ 10.31 GFLOPS | Progress: (16/20) | 48.12 s
[Task 24/25] Current/Best: 3.98/ 10.31 GFLOPS | Progress: (20/20) | 59.11 s
[Task 25/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 25/25] Current/Best: 7.89/ 7.89 GFLOPS | Progress: (4/20) | 14.51 s
[Task 25/25] Current/Best: 6.02/ 10.26 GFLOPS | Progress: (8/20) | 24.61 s
[Task 25/25] Current/Best: 5.79/ 10.26 GFLOPS | Progress: (12/20) | 29.54 s
[Task 25/25] Current/Best: 1.60/ 10.26 GFLOPS | Progress: (16/20) | 32.33 s
[Task 25/25] Current/Best: 6.21/ 10.26 GFLOPS | Progress: (20/20) | 35.76 s
@@ -675,6 +673,7 @@ model using optimized operators to speed up our computations.
.. code-block:: none
Done.
+ Done.
@@ -708,8 +707,8 @@ 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=0.356377
+ class='n02123045 tabby, tabby cat' with probability=0.621104
+ class='n02123159 tiger cat' with probability=0.356378
class='n02124075 Egyptian cat' with probability=0.019712
class='n02129604 tiger, Panthera tigris' with probability=0.001215
class='n04040759 radiator' with probability=0.000262
@@ -766,8 +765,8 @@ improvement in comparing the optimized model to the unoptimized model.
.. code-block:: none
- optimized: {'mean': 387.59119651003857, 'median': 388.2216256999527, 'std': 1.900046637427125}
- unoptimized: {'mean': 472.7061919899279, 'median': 471.73933570011286, 'std': 2.0173617951003946}
+ optimized: {'mean': 397.097119989985, 'median': 394.8207354999795, 'std': 3.849856717266297}
+ unoptimized: {'mean': 476.09278967999217, 'median': 475.80901680000807, 'std': 2.364623297288753}
@@ -790,7 +789,7 @@ profiling/benchmarking.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 13 minutes 19.203 seconds)
+ **Total running time of the script:** ( 13 minutes 18.530 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 d116ee5984..da48c6518b 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
- 1.208e-07 secs/op
+ 1.105e-07 secs/op
diff --git a/docs/_sources/tutorial/intro_topi.rst.txt b/docs/_sources/tutorial/intro_topi.rst.txt
index a8350da6d2..2b817733aa 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, 0x11240480)), stage(b, placeholder(b, 0x85e65c0)), stage(T_add, compute(T_add, body=[a[ax0, ax1, ax2] + b[ax1, ax2]], axis=[T.iter_var(ax0, T.Range(0, 100), "DataPar", ""), T.iter_var(ax1, T.Range(0, 10), "DataPar", ""), T.iter_var(ax2, T.Range(0, 10), "DataPar", "")], reduce_axis=[], tag=broadcast, attrs={})), stage(T_multiply, compute(T_multiply, body=[a[ax0, ax1, ax2] * b[ax1, ax2]], axis=[T.iter_var(ax0, T.Range(0, 100), "DataPar", ""), T.iter_var(ax1, T. [...]
+ [stage(a, placeholder(a, 0x5c41040)), stage(b, placeholder(b, 0x12a4ddf0)), 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 102bc9a8e2..8e792ed1e5 100644
--- a/docs/_sources/tutorial/sg_execution_times.rst.txt
+++ b/docs/_sources/tutorial/sg_execution_times.rst.txt
@@ -5,24 +5,24 @@
Computation times
=================
-**17:29.292** total execution time for **tutorial** files:
+**16:59.153** total execution time for **tutorial** files:
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_autotvm_relay_x86.py` (``autotvm_relay_x86.py``) | 13:19.203 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_autotvm_relay_x86.py` (``autotvm_relay_x86.py``) | 13:18.530 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_auto_scheduler_matmul_x86.py` (``auto_scheduler_matmul_x86.py``) | 02:03.258 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_auto_scheduler_matmul_x86.py` (``auto_scheduler_matmul_x86.py``) | 01:32.260 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_tensor_expr_get_started.py` (``tensor_expr_get_started.py``) | 00:57.787 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_tensor_expr_get_started.py` (``tensor_expr_get_started.py``) | 00:59.198 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_relay_quick_start.py` (``relay_quick_start.py``) | 00:41.354 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_relay_quick_start.py` (``relay_quick_start.py``) | 00:40.138 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_autotvm_matmul_x86.py` (``autotvm_matmul_x86.py``) | 00:25.685 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_autotvm_matmul_x86.py` (``autotvm_matmul_x86.py``) | 00:27.090 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_intro_topi.py` (``intro_topi.py``) | 00:00.937 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_intro_topi.py` (``intro_topi.py``) | 00:00.932 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_tensor_ir_blitz_course.py` (``tensor_ir_blitz_course.py``) | 00:00.866 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_tensor_ir_blitz_course.py` (``tensor_ir_blitz_course.py``) | 00:00.836 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_cross_compilation_and_rpc.py` (``cross_compilation_and_rpc.py``) | 00:00.202 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_cross_compilation_and_rpc.py` (``cross_compilation_and_rpc.py``) | 00:00.168 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_tutorial_uma.py` (``uma.py``) | 00:00.000 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
@@ -30,7 +30,7 @@ Computation times
+------------------------------------------------------------------------------------------+-----------+--------+
| :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 |
+------------------------------------------------------------------------------------------+-----------+--------+
+| :ref:`sphx_glr_tutorial_install.py` (``install.py``) | 00:00.000 | 0.0 MB |
++------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/docs/_sources/tutorial/tensor_expr_get_started.rst.txt b/docs/_sources/tutorial/tensor_expr_get_started.rst.txt
index 89e756cc4c..0c9aee26ea 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
@@ -389,7 +389,7 @@ compile and run this new schedule with the parallel operation applied:
.. code-block:: none
- parallel: 0.000006
+ parallel: 0.000007
@@ -444,7 +444,7 @@ factor to be the number of threads on your CPU.
.. code-block:: none
- vector: 0.000040
+ vector: 0.000038
# from tvm.script import ir as I
# from tvm.script import tir as T
@@ -498,10 +498,10 @@ We can now compare the different schedules
.. code-block:: none
Operator Timing Performance
- numpy 6.3657799910288305e-06 1.0
- naive 5.8871e-06 0.9248041886927564
- parallel 6.1249e-06 0.9621601765426548
- vector 4.02587e-05 6.3242367874378
+ numpy 7.049400001051253e-06 1.0
+ naive 7.8098e-06 1.107867336061984
+ parallel 6.9586e-06 0.9871194710134603
+ vector 3.8013000000000003e-05 5.392373818244284
@@ -922,7 +922,7 @@ matrix multiplication.
.. code-block:: none
- Numpy running time: 0.015981
+ Numpy running time: 0.017427
@@ -980,7 +980,7 @@ optimizations.
.. code-block:: none
- none: 3.269853
+ none: 3.395569
@@ -1080,7 +1080,7 @@ schedule.
.. code-block:: none
- blocking: 0.300664
+ blocking: 0.278276
@@ -1164,7 +1164,7 @@ already cache friendly from our previous optimizations.
.. code-block:: none
- vectorization: 0.289066
+ vectorization: 0.258321
# 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: 0.113433
+ loop permutation: 0.110095
# 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: 0.101841
+ array packing: 0.102957
# 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: 0.097432
+ block caching: 0.110556
# 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: 0.115812
+ parallelization: 0.131300
# 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 3.2698526877 1.0
- blocking 0.30066430879999995 0.09195041413669493
- vectorization 0.2890656844 0.08840327440051361
- loop permutation 0.11343255 0.03469041600151961
- array packing 0.10184140500000001 0.03114556364667144
- block caching 0.09743238700000001 0.02979717935505331
- parallelization 0.1158119165 0.03541808379797733
+ none 3.3955692862000006 1.0
+ blocking 0.2782758862 0.0819526455640138
+ vectorization 0.2583205924 0.07607578306525677
+ loop permutation 0.11009458030000001 0.03242301099478003
+ array packing 0.10295659900000001 0.030320865316584154
+ block caching 0.11055574730000002 0.03255882533432959
+ parallelization 0.1313004039 0.03866815630404614
diff --git a/docs/commit_hash b/docs/commit_hash
index 8da00e3b8b..fcc6cdca40 100644
--- a/docs/commit_hash
+++ b/docs/commit_hash
@@ -1 +1 @@
-a7478cc2b17346bb4586629700e7047464214a87
+2c49e01a0a1a69ae578fb27f7f78225d4a55dffd
diff --git a/docs/how_to/compile_models/from_darknet.html b/docs/how_to/compile_models/from_darknet.html
index 932097bade..b1931c81da 100644
--- a/docs/how_to/compile_models/from_darknet.html
+++ b/docs/how_to/compile_models/from_darknet.html
@@ -605,7 +605,7 @@ class:['truck 0.9266'] left:471 top:83 right:689 bottom:169
class:['bicycle 0.9984'] left:111 top:113 right:577 bottom:447
</pre></div>
</div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 33.533 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 29.393 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_mxnet.html b/docs/how_to/compile_models/from_mxnet.html
index 34ad9b7b9b..f52a7fc14e 100644
--- a/docs/how_to/compile_models/from_mxnet.html
+++ b/docs/how_to/compile_models/from_mxnet.html
@@ -459,7 +459,7 @@
<span class="nb">print</span><span class="p">(</span><span class="s2">"x"</span><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">x</span><span class="o">.</span><span class="n">shape</span></a><span class="p">)</span>
</pre></div>
</div>
-<img src="../../_images/sphx_glr_from_mxnet_001.png" srcset="../../_images/sphx_glr_from_mxnet_001.png" alt="from mxnet" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Downloading /workspace/.mxnet/models/resnet18_v1-a0666292.zip0bee5008-281b-4a9c-95c3-2c75e97079b2 from https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/models/resnet18_v1-a0666292.zip...
+<img src="../../_images/sphx_glr_from_mxnet_001.png" srcset="../../_images/sphx_glr_from_mxnet_001.png" alt="from mxnet" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Downloading /workspace/.mxnet/models/resnet18_v1-a0666292.zipa4fc587e-2ab1-48d9-9a63-9164ee6fdd3e from https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/models/resnet18_v1-a0666292.zip...
x (1, 3, 224, 224)
</pre></div>
</div>
diff --git a/docs/how_to/compile_models/from_oneflow.html b/docs/how_to/compile_models/from_oneflow.html
index 2ae0a2f01a..211386107e 100644
--- a/docs/how_to/compile_models/from_oneflow.html
+++ b/docs/how_to/compile_models/from_oneflow.html
@@ -469,14 +469,13 @@ Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdo
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Downloading: "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, 52.6MB/s]
- 35%|###4 | 14.3M/41.5M [00:00<00:00, 49.1MB/s]
- 46%|####5 | 19.1M/41.5M [00:00<00:00, 46.7MB/s]
- 57%|#####6 | 23.5M/41.5M [00:00<00:00, 40.9MB/s]
- 66%|######6 | 27.4M/41.5M [00:00<00:00, 38.5MB/s]
- 77%|#######7 | 32.0M/41.5M [00:00<00:00, 34.6MB/s]
- 92%|#########2| 38.3M/41.5M [00:00<00:00, 40.8MB/s]
-100%|##########| 41.5M/41.5M [00:01<00:00, 40.9MB/s]
+ 19%|#9 | 7.99M/41.5M [00:00<00:00, 81.9MB/s]
+ 39%|###8 | 16.0M/41.5M [00:00<00:00, 68.1MB/s]
+ 55%|#####4 | 22.6M/41.5M [00:00<00:00, 61.3MB/s]
+ 69%|######8 | 28.6M/41.5M [00:00<00:00, 56.1MB/s]
+ 82%|########1 | 34.0M/41.5M [00:00<00:00, 48.4MB/s]
+ 93%|#########3| 38.7M/41.5M [00:00<00:00, 40.3MB/s]
+100%|##########| 41.5M/41.5M [00:00<00:00, 49.1MB/s]
</pre></div>
</div>
</div>
diff --git a/docs/how_to/compile_models/from_paddle.html b/docs/how_to/compile_models/from_paddle.html
index 9553149381..8fafeb5974 100644
--- a/docs/how_to/compile_models/from_paddle.html
+++ b/docs/how_to/compile_models/from_paddle.html
@@ -504,7 +504,6 @@ To begin, we’ll install PaddlePaddle>=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: 'tiger cat',
</pre></div>
</div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 1.164 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 4497856a1e..c0206de139 100644
--- a/docs/how_to/compile_models/from_pytorch.html
+++ b/docs/how_to/compile_models/from_pytorch.html
@@ -452,14 +452,13 @@ be unstable.</p>
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, 48.8MB/s]
- 25%|##4 | 11.0M/44.7M [00:00<00:01, 34.1MB/s]
- 36%|###5 | 16.0M/44.7M [00:00<00:00, 36.8MB/s]
- 54%|#####3 | 24.0M/44.7M [00:00<00:00, 47.7MB/s]
- 68%|######7 | 30.3M/44.7M [00:00<00:00, 50.9MB/s]
- 79%|#######9 | 35.3M/44.7M [00:00<00:00, 51.0MB/s]
- 90%|######### | 40.3M/44.7M [00:01<00:00, 33.6MB/s]
-100%|##########| 44.7M/44.7M [00:01<00:00, 42.4MB/s]
+ 18%|#7 | 7.99M/44.7M [00:00<00:00, 54.6MB/s]
+ 36%|###5 | 16.0M/44.7M [00:00<00:00, 55.4MB/s]
+ 54%|#####3 | 24.1M/44.7M [00:00<00:00, 65.0MB/s]
+ 68%|######8 | 30.5M/44.7M [00:00<00:00, 63.6MB/s]
+ 82%|########2 | 36.7M/44.7M [00:00<00:00, 62.1MB/s]
+ 96%|#########5| 42.7M/44.7M [00:00<00:00, 56.6MB/s]
+100%|##########| 44.7M/44.7M [00:00<00:00, 61.1MB/s]
</pre></div>
</div>
</div>
diff --git a/docs/how_to/compile_models/from_tensorflow.html b/docs/how_to/compile_models/from_tensorflow.html
index 0e9b5727ae..1375d1e28b 100644
--- a/docs/how_to/compile_models/from_tensorflow.html
+++ b/docs/how_to/compile_models/from_tensorflow.html
@@ -672,7 +672,7 @@ 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 30.193 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 36.706 seconds)</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-compile-models-from-tensorflow-py">
<div class="sphx-glr-download sphx-glr-download-python docutils container">
<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 344a8a172e..0d72c320b3 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>07:08.245</strong> total execution time for <strong>how_to_compile_models</strong> files:</p>
+<p><strong>07:14.693</strong> total execution time for <strong>how_to_compile_models</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 81%" />
@@ -368,44 +368,44 @@
<col style="width: 8%" />
</colgroup>
<tbody>
-<tr class="row-odd"><td><p><a class="reference internal" href="from_darknet.html#sphx-glr-how-to-compile-models-from-darknet-py"><span class="std std-ref">Compile YOLO-V2 and YOLO-V3 in DarkNet Models</span></a> (<code class="docutils literal notranslate"><span class="pre">from_darknet.py</span></code>)</p></td>
-<td><p>01:33.533</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="from_tensorflow.html#sphx-glr-how-to-compile-models-from-tensorflow-py"><span class="std std-ref">Compile Tensorflow Models</span></a> (<code class="docutils literal notranslate"><span class="pre">from_tensorflow.py</span></code>)</p></td>
+<td><p>01:36.706</p></td>
<td><p>0.0 MB</p></td>
</tr>
-<tr class="row-even"><td><p><a class="reference internal" href="from_tensorflow.html#sphx-glr-how-to-compile-models-from-tensorflow-py"><span class="std std-ref">Compile Tensorflow Models</span></a> (<code class="docutils literal notranslate"><span class="pre">from_tensorflow.py</span></code>)</p></td>
-<td><p>01:30.193</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="from_darknet.html#sphx-glr-how-to-compile-models-from-darknet-py"><span class="std std-ref">Compile YOLO-V2 and YOLO-V3 in DarkNet Models</span></a> (<code class="docutils literal notranslate"><span class="pre">from_darknet.py</span></code>)</p></td>
+<td><p>01:29.393</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="from_paddle.html#sphx-glr-how-to-compile-models-from-paddle-py"><span class="std std-ref">Compile PaddlePaddle Models</span></a> (<code class="docutils literal notranslate"><span class="pre">from_paddle.py</span></code>)</p></td>
-<td><p>01:01.164</p></td>
+<td><p>00:59.236</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="from_oneflow.html#sphx-glr-how-to-compile-models-from-oneflow-py"><span class="std std-ref">Compile OneFlow Models</span></a> (<code class="docutils literal notranslate"><span class="pre">from_oneflow.py</span></code>)</p></td>
-<td><p>00:41.438</p></td>
+<td><p>00:44.501</p></td>
<td><p>0.0 MB</p></td>
</tr>
<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>
-<td><p>00:37.506</p></td>
+<td><p>00:40.446</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="from_mxnet.html#sphx-glr-how-to-compile-models-from-mxnet-py"><span class="std std-ref">Compile MXNet Models</span></a> (<code class="docutils literal notranslate"><span class="pre">from_mxnet.py</span></code>)</p></td>
-<td><p>00:34.015</p></td>
+<td><p>00:36.176</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="from_pytorch.html#sphx-glr-how-to-compile-models-from-pytorch-py"><span class="std std-ref">Compile PyTorch Models</span></a> (<code class="docutils literal notranslate"><span class="pre">from_pytorch.py</span></code>)</p></td>
-<td><p>00:28.325</p></td>
+<td><p>00:27.238</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><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>
-<td><p>00:26.734</p></td>
+<td><p>00:25.312</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><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>
-<td><p>00:12.547</p></td>
+<td><p>00:12.687</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><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>00:02.790</p></td>
+<td><p>00:02.999</p></td>
<td><p>0.0 MB</p></td>
</tr>
</tbody>
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 03fb7b3c9d..92e9e66bf1 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)
- 3993.8469 3993.8320 3996.9046 3990.5170 2.1393
+ 3990.8041 3990.5159 3993.2942 3989.1620 1.3313
</pre></div>
</div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 17.242 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 18.663 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">
<div class="sphx-glr-download sphx-glr-download-python docutils container">
<p><a class="reference download internal" download="" href="../../_downloads/2387d8448da213eb625e6b3d916327d4/deploy_model_on_adreno.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">deploy_model_on_adreno.py</span></code></a></p>
diff --git a/docs/how_to/deploy_models/deploy_model_on_adreno_tvmc.html b/docs/how_to/deploy_models/deploy_model_on_adreno_tvmc.html
index 188993bc50..93154abd7a 100644
--- a/docs/how_to/deploy_models/deploy_model_on_adreno_tvmc.html
+++ b/docs/how_to/deploy_models/deploy_model_on_adreno_tvmc.html
@@ -458,33 +458,21 @@ to run this tutorial with a real device over rpc.</p>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/resnet/resnet50_weights_tf_dim_ordering_tf_kernels.h5
8192/102967424 [..............................] - ETA: 0s
- 4440064/102967424 [>.............................] - ETA: 1s
8380416/102967424 [=>............................] - ETA: 1s
- 16769024/102967424 [===>..........................] - ETA: 1s
+ 16769024/102967424 [===>..........................] - ETA: 0s
25157632/102967424 [======>.......................] - ETA: 0s
33546240/102967424 [========>.....................] - ETA: 0s
- 40189952/102967424 [==========>...................] - ETA: 0s
- 41934848/102967424 [===========>..................] - ETA: 1s
- 48578560/102967424 [=============>................] - ETA: 0s
+ 41934848/102967424 [===========>..................] - ETA: 0s
50323456/102967424 [=============>................] - ETA: 0s
- 56967168/102967424 [===============>..............] - ETA: 0s
58712064/102967424 [================>.............] - ETA: 0s
- 60907520/102967424 [================>.............] - ETA: 0s
- 65355776/102967424 [==================>...........] - ETA: 0s
- 67100672/102967424 [==================>...........] - ETA: 0s
- 69296128/102967424 [===================>..........] - ETA: 0s
- 73744384/102967424 [====================>.........] - ETA: 0s
- 75489280/102967424 [====================>.........] - ETA: 0s
- 82124800/102967424 [======================>.......] - ETA: 0s
- 83877888/102967424 [=======================>......] - ETA: 0s
- 86073344/102967424 [========================>.....] - ETA: 0s
- 92176384/102967424 [=========================>....] - ETA: 0s
+ 67846144/102967424 [==================>...........] - ETA: 0s
+ 72998912/102967424 [====================>.........] - ETA: 0s
+ 75628544/102967424 [=====================>........] - ETA: 0s
+ 83124224/102967424 [=======================>......] - ETA: 0s
+ 88211456/102967424 [========================>.....] - ETA: 0s
92266496/102967424 [=========================>....] - ETA: 0s
- 94461952/102967424 [==========================>...] - ETA: 0s
- 98910208/102967424 [===========================>..] - ETA: 0s
-100646912/102967424 [============================>.] - ETA: 0s
-102850560/102967424 [============================>.] - ETA: 0s
-102967424/102967424 [==============================] - 2s 0us/step
+100311040/102967424 [============================>.] - ETA: 0s
+102967424/102967424 [==============================] - 1s 0us/step
</pre></div>
</div>
</div>
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 0f088d437d..b09d5a8d3d 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)
- 14.6706 14.6510 14.8877 14.5239 0.0989
+ 16.1846 16.4110 16.8604 15.5076 0.4936
</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 87e971116d..bb98db9d26 100644
--- a/docs/how_to/deploy_models/deploy_object_detection_pytorch.html
+++ b/docs/how_to/deploy_models/deploy_object_detection_pytorch.html
@@ -474,35 +474,33 @@ be unstable.</p>
Downloading: "https://download.pytorch.org/models/maskrcnn_resnet50_fpn_coco-bf2d0c1e.pth" to /workspace/.cache/torch/hub/checkpoints/maskrcnn_resnet50_fpn_coco-bf2d0c1e.pth
0%| | 0.00/170M [00:00<?, ?B/s]
- 4%|3 | 6.30M/170M [00:00<00:03, 44.4MB/s]
- 6%|6 | 10.5M/170M [00:00<00:04, 36.5MB/s]
- 9%|9 | 16.0M/170M [00:00<00:05, 31.2MB/s]
- 13%|#3 | 22.5M/170M [00:00<00:03, 41.2MB/s]
- 16%|#5 | 26.9M/170M [00:00<00:04, 37.2MB/s]
- 19%|#8 | 32.0M/170M [00:00<00:04, 34.3MB/s]
- 24%|##3 | 40.0M/170M [00:01<00:03, 40.7MB/s]
- 27%|##7 | 46.3M/170M [00:01<00:03, 36.5MB/s]
- 29%|##9 | 50.0M/170M [00:01<00:03, 34.9MB/s]
- 33%|###2 | 56.0M/170M [00:01<00:03, 35.8MB/s]
- 38%|###7 | 64.0M/170M [00:01<00:02, 41.2MB/s]
- 42%|####2 | 72.0M/170M [00:01<00:02, 44.6MB/s]
- 46%|####6 | 78.3M/170M [00:02<00:01, 48.8MB/s]
- 49%|####8 | 83.1M/170M [00:02<00:01, 47.1MB/s]
- 52%|#####1 | 88.0M/170M [00:02<00:01, 44.9MB/s]
- 57%|#####6 | 96.0M/170M [00:02<00:01, 49.6MB/s]
- 61%|######1 | 104M/170M [00:02<00:01, 43.8MB/s]
- 66%|######5 | 112M/170M [00:02<00:01, 46.8MB/s]
- 71%|####### | 120M/170M [00:02<00:01, 49.1MB/s]
- 74%|#######4 | 126M/170M [00:03<00:00, 47.9MB/s]
- 77%|#######7 | 131M/170M [00:03<00:01, 35.8MB/s]
- 79%|#######9 | 135M/170M [00:03<00:01, 27.1MB/s]
- 81%|########1 | 138M/170M [00:03<00:01, 24.2MB/s]
- 85%|########4 | 144M/170M [00:03<00:00, 29.2MB/s]
- 88%|########8 | 150M/170M [00:04<00:00, 29.0MB/s]
- 90%|######### | 153M/170M [00:04<00:00, 27.2MB/s]
- 94%|#########4| 160M/170M [00:04<00:00, 31.5MB/s]
- 98%|#########7| 166M/170M [00:04<00:00, 31.9MB/s]
-100%|##########| 170M/170M [00:04<00:00, 37.1MB/s]
+ 4%|3 | 6.30M/170M [00:00<00:04, 42.4MB/s]
+ 6%|6 | 10.4M/170M [00:00<00:04, 40.0MB/s]
+ 8%|8 | 14.3M/170M [00:00<00:04, 35.0MB/s]
+ 13%|#3 | 22.3M/170M [00:00<00:03, 50.7MB/s]
+ 17%|#7 | 29.0M/170M [00:00<00:02, 56.8MB/s]
+ 20%|## | 34.7M/170M [00:00<00:03, 45.3MB/s]
+ 24%|##3 | 40.0M/170M [00:00<00:02, 47.3MB/s]
+ 28%|##8 | 48.0M/170M [00:01<00:02, 51.5MB/s]
+ 33%|###2 | 56.0M/170M [00:01<00:01, 59.9MB/s]
+ 38%|###7 | 64.0M/170M [00:01<00:01, 62.3MB/s]
+ 42%|####2 | 72.0M/170M [00:01<00:01, 66.7MB/s]
+ 46%|####6 | 78.5M/170M [00:01<00:01, 65.5MB/s]
+ 51%|##### | 86.3M/170M [00:01<00:01, 62.1MB/s]
+ 56%|#####6 | 95.3M/170M [00:01<00:01, 70.4MB/s]
+ 60%|###### | 102M/170M [00:01<00:01, 70.4MB/s]
+ 64%|######4 | 109M/170M [00:02<00:01, 57.3MB/s]
+ 70%|######9 | 118M/170M [00:02<00:01, 43.1MB/s]
+ 73%|#######2 | 123M/170M [00:02<00:01, 44.1MB/s]
+ 75%|#######5 | 128M/170M [00:02<00:01, 41.1MB/s]
+ 79%|#######9 | 134M/170M [00:02<00:00, 42.2MB/s]
+ 82%|########1 | 139M/170M [00:02<00:00, 40.6MB/s]
+ 85%|########4 | 144M/170M [00:02<00:00, 42.2MB/s]
+ 88%|########8 | 150M/170M [00:03<00:00, 39.1MB/s]
+ 91%|######### | 154M/170M [00:03<00:00, 37.7MB/s]
+ 94%|#########4| 160M/170M [00:03<00:00, 39.7MB/s]
+ 98%|#########7| 166M/170M [00:03<00:00, 37.8MB/s]
+100%|##########| 170M/170M [00:03<00:00, 48.0MB/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).
@@ -593,7 +591,7 @@ torchvision rcnn models.</p>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Get 9 valid boxes
</pre></div>
</div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes 31.503 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes 38.432 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 7be074254d..424370c481 100644
--- a/docs/how_to/deploy_models/deploy_prequantized.html
+++ b/docs/how_to/deploy_models/deploy_prequantized.html
@@ -515,8 +515,8 @@ training. Other models require a full post training calibration.</p>
Downloading: "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]
- 62%|######1 | 8.35M/13.6M [00:00<00:00, 87.6MB/s]
-100%|##########| 13.6M/13.6M [00:00<00:00, 64.9MB/s]
+ 60%|#####9 | 8.12M/13.6M [00:00<00:00, 81.5MB/s]
+100%|##########| 13.6M/13.6M [00:00<00:00, 98.5MB/s]
</pre></div>
</div>
</div>
@@ -607,7 +607,7 @@ output values are identical out of 1000 outputs from mobilenet v2.</p>
</div>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 86.1513 86.0908 90.0663 85.8697 0.4328
+ 86.5255 86.4826 88.7924 86.0693 0.3587
</pre></div>
</div>
<div class="admonition note">
@@ -646,7 +646,7 @@ This includes support for the VNNI 8 bit dot product instruction (CascadeLake or
<div class="section" id="deploy-a-quantized-tflite-model">
<h2>Deploy a quantized TFLite Model<a class="headerlink" href="#deploy-a-quantized-tflite-model" title="Permalink to this headline">¶</a></h2>
<p>TODO</p>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 27.369 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 37.109 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 93637ca8b2..8cf47fe042 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)
- 111.1504 111.1092 111.9353 110.7266 0.2240
+ 107.3578 107.2343 114.7752 106.3129 1.0058
</pre></div>
</div>
<div class="admonition note">
diff --git a/docs/how_to/deploy_models/deploy_quantized.html b/docs/how_to/deploy_models/deploy_quantized.html
index 11587ecab3..4436e0eabf 100644
--- a/docs/how_to/deploy_models/deploy_quantized.html
+++ b/docs/how_to/deploy_models/deploy_quantized.html
@@ -541,7 +541,7 @@ for calibration. But the accuracy might be impacted.</p>
warnings.warn(
</pre></div>
</div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 59.636 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 45.251 seconds)</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-deploy-models-deploy-quantized-py">
<div class="sphx-glr-download sphx-glr-download-python docutils container">
<p><a class="reference download internal" download="" href="../../_downloads/7810ecf51bfc05f7d5e8a400ac3e815d/deploy_quantized.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_quantized.py</span></code></a></p>
diff --git a/docs/how_to/deploy_models/sg_execution_times.html b/docs/how_to/deploy_models/sg_execution_times.html
index 3df1fbe7d9..66f4b9821a 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>11:43.483</strong> total execution time for <strong>how_to_deploy_models</strong> files:</p>
+<p><strong>11:59.091</strong> total execution time for <strong>how_to_deploy_models</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 86%" />
@@ -369,39 +369,39 @@
</colgroup>
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="deploy_object_detection_pytorch.html#sphx-glr-how-to-deploy-models-deploy-object-detection-pytorch-py"><span class="std std-ref">Compile PyTorch Object Detection Models</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_object_detection_pytorch.py</span></code>)</p></td>
-<td><p>03:31.503</p></td>
+<td><p>03:38.432</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="deploy_quantized.html#sphx-glr-how-to-deploy-models-deploy-quantized-py"><span class="std std-ref">Deploy a Quantized Model on Cuda</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_quantized.py</span></code>)</p></td>
-<td><p>01:59.636</p></td>
+<td><p>01:45.251</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="deploy_prequantized.html#sphx-glr-how-to-deploy-models-deploy-prequantized-py"><span class="std std-ref">Deploy a Framework-prequantized Model with TVM</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_prequantized.py</span></code>)</p></td>
-<td><p>01:27.369</p></td>
+<td><p>01:37.109</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.html#sphx-glr-how-to-deploy-models-deploy-model-on-adreno-py"><span class="std std-ref">Deploy the Pretrained Model on Adreno™</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_model_on_adreno.py</span></code>)</p></td>
-<td><p>01:17.242</p></td>
+<td><p>01:18.663</p></td>
<td><p>0.0 MB</p></td>
</tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="deploy_prequantized_tflite.html#sphx-glr-how-to-deploy-models-deploy-prequantized-tflite-py"><span class="std std-ref">Deploy a Framework-prequantized Model with TVM - Part 3 (TFLite)</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_prequantized_tflite.py</span></code>)</p></td>
-<td><p>00:51.399</p></td>
+<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>00:57.082</p></td>
<td><p>0.0 MB</p></td>
</tr>
-<tr class="row-even"><td><p><a class="reference internal" href="deploy_model_on_android.html#sphx-glr-how-to-deploy-models-deploy-model-on-android-py"><span class="std std-ref">Deploy the Pretrained Model on Android</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_model_on_android.py</span></code>)</p></td>
-<td><p>00:50.037</p></td>
+<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>00:50.881</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_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>00:46.577</p></td>
+<td><p>00:45.197</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>00:30.014</p></td>
+<td><p>00:33.522</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>00:29.698</p></td>
+<td><p>00:32.947</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><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/bring_your_own_datatypes.html b/docs/how_to/extend_tvm/bring_your_own_datatypes.html
index bb477df1b7..3173b0ad9f 100644
--- a/docs/how_to/extend_tvm/bring_your_own_datatypes.html
+++ b/docs/how_to/extend_tvm/bring_your_own_datatypes.html
@@ -639,7 +639,7 @@ In this alpha state of the Bring Your Own Datatypes framework, we have not imple
<span class="n">module</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">params</span></a> <span class="o">=</span> <span class="n">get_mobilenet</span><span class="p">()</span>
</pre></div>
</div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Downloading /workspace/.mxnet/models/mobilenet0.25-9f83e440.zip7b05fe29-9cda-4127-8a61-c5e204d9c3ea from https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/models/mobilenet0.25-9f83e440.zip...
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Downloading /workspace/.mxnet/models/mobilenet0.25-9f83e440.zipf73e2a6f-c09a-428f-b7cb-fee9d7a076cd from https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/models/mobilenet0.25-9f83e440.zip...
</pre></div>
</div>
<p>It’s easy to execute MobileNet with native TVM:</p>
diff --git a/docs/how_to/extend_tvm/sg_execution_times.html b/docs/how_to/extend_tvm/sg_execution_times.html
index 55e8a1830d..89140124c0 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>00:59.309</strong> total execution time for <strong>how_to_extend_tvm</strong> files:</p>
+<p><strong>01:01.099</strong> total execution time for <strong>how_to_extend_tvm</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 84%" />
@@ -369,19 +369,19 @@
</colgroup>
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="bring_your_own_datatypes.html#sphx-glr-how-to-extend-tvm-bring-your-own-datatypes-py"><span class="std std-ref">Bring Your Own Datatypes to TVM</span></a> (<code class="docutils literal notranslate"><span class="pre">bring_your_own_datatypes.py</span></code>)</p></td>
-<td><p>00:55.236</p></td>
+<td><p>00:57.351</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><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>00:02.858</p></td>
+<td><p>00:02.625</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><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>00:01.207</p></td>
+<td><p>00:01.116</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><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>
-<td><p>00:00.008</p></td>
+<td><p>00:00.007</p></td>
<td><p>0.0 MB</p></td>
</tr>
</tbody>
diff --git a/docs/how_to/extend_tvm/use_pass_instrument.html b/docs/how_to/extend_tvm/use_pass_instrument.html
index 9bab5c382d..0653015c1b 100644
--- a/docs/how_to/extend_tvm/use_pass_instrument.html
+++ b/docs/how_to/extend_tvm/use_pass_instrument.html
@@ -546,10 +546,10 @@ 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: 25204us [25204us] (48.55%; 48.55%)
-FoldScaleAxis: 26713us [9us] (51.45%; 51.45%)
- FoldConstant: 26704us [1841us] (51.44%; 99.96%)
- InferType: 24862us [24862us] (47.89%; 93.10%)
+InferType: 24150us [24150us] (48.82%; 48.82%)
+FoldScaleAxis: 25321us [6us] (51.18%; 51.18%)
+ FoldConstant: 25315us [1780us] (51.17%; 99.98%)
+ InferType: 23534us [23534us] (47.57%; 92.97%)
</pre></div>
</div>
</div>
@@ -571,10 +571,10 @@ 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: 24769us [24769us] (48.40%; 48.40%)
-FoldScaleAxis: 26412us [7us] (51.60%; 51.60%)
- FoldConstant: 26405us [1865us] (51.59%; 99.97%)
- InferType: 24540us [24540us] (47.95%; 92.94%)
+InferType: 23367us [23367us] (48.68%; 48.68%)
+FoldScaleAxis: 24630us [6us] (51.32%; 51.32%)
+ FoldConstant: 24624us [1635us] (51.30%; 99.98%)
+ InferType: 22989us [22989us] (47.90%; 93.36%)
</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 b0166e971a..cb7f0cee2e 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">"Convolution: </span><span class="si">%f</span><span class="s2"> ms"</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: 53.510112 ms
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Convolution: 38.704254 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 4c0c205e0f..1606c62211 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">"conv2d with tensor core: </span><span class="si">%f</span><span class="s2"> ms"</span> <span class="o">%</span> <span class="p">(</span><span class="n">evaluator</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">w</span><span class="p">,</span> <span class="n">c</span><span class="p">)</span><span class="o">.</span><span class="n">mean</span> <span class="o">* [...]
</pre></div>
</div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>conv2d with tensor core: 11.662537 ms
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>conv2d with tensor core: 11.924982 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 3bf79c4af4..5559b4f2f3 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">"Baseline: </span><span class="si">%f</span><span class="s2">"</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: 0.015975
-Baseline: 3.275939
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Numpy running time: 0.018782
+Baseline: 3.591461
</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">"Opt1: </span><span class="si">%f</span><span class="s2">"</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: 0.296591
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt1: 0.312359
</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">"Opt2: </span><span class="si">%f</span><span class="s2">"</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: 0.277526
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt2: 0.293532
</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">"Opt3: </span><span class="si">%f</span><span class="s2">"</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: 0.116117
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt3: 0.124875
</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">"Opt4: </span><span class="si">%f</span><span class="s2">"</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: 0.104702
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt4: 0.105796
</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">"Opt5: </span><span class="si">%f</span><span class="s2">"</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: 0.097837
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt5: 0.108872
</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">"Opt6: </span><span class="si">%f</span><span class="s2">"</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: 0.116268
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt6: 0.130246
</pre></div>
</div>
<p>Here is the generated IR after parallelization.</p>
diff --git a/docs/how_to/optimize_operators/sg_execution_times.html b/docs/how_to/optimize_operators/sg_execution_times.html
index 9e622280bb..c55e200177 100644
--- a/docs/how_to/optimize_operators/sg_execution_times.html
+++ b/docs/how_to/optimize_operators/sg_execution_times.html
@@ -360,7 +360,7 @@
<div class="section" id="computation-times">
<span id="sphx-glr-how-to-optimize-operators-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>00:32.313</strong> total execution time for <strong>how_to_optimize_operators</strong> files:</p>
+<p><strong>00:34.960</strong> total execution time for <strong>how_to_optimize_operators</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 83%" />
@@ -369,15 +369,15 @@
</colgroup>
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="opt_gemm.html#sphx-glr-how-to-optimize-operators-opt-gemm-py"><span class="std std-ref">How to optimize GEMM on CPU</span></a> (<code class="docutils literal notranslate"><span class="pre">opt_gemm.py</span></code>)</p></td>
-<td><p>00:29.126</p></td>
+<td><p>00:31.802</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="opt_conv_tensorcore.html#sphx-glr-how-to-optimize-operators-opt-conv-tensorcore-py"><span class="std std-ref">How to optimize convolution using TensorCores</span></a> (<code class="docutils literal notranslate"><span class="pre">opt_conv_tensorcore.py</span></code>)</p></td>
-<td><p>00:01.914</p></td>
+<td><p>00:01.962</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="opt_conv_cuda.html#sphx-glr-how-to-optimize-operators-opt-conv-cuda-py"><span class="std std-ref">How to optimize convolution on GPU</span></a> (<code class="docutils literal notranslate"><span class="pre">opt_conv_cuda.py</span></code>)</p></td>
-<td><p>00:01.273</p></td>
+<td><p>00:01.196</p></td>
<td><p>0.0 MB</p></td>
</tr>
</tbody>
diff --git a/docs/how_to/tune_with_autoscheduler/sg_execution_times.html b/docs/how_to/tune_with_autoscheduler/sg_execution_times.html
index 0fca881211..48f1ed5a68 100644
--- a/docs/how_to/tune_with_autoscheduler/sg_execution_times.html
+++ b/docs/how_to/tune_with_autoscheduler/sg_execution_times.html
@@ -360,7 +360,7 @@
<div class="section" id="computation-times">
<span id="sphx-glr-how-to-tune-with-autoscheduler-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>03:36.833</strong> total execution time for <strong>how_to_tune_with_autoscheduler</strong> files:</p>
+<p><strong>03:47.277</strong> total execution time for <strong>how_to_tune_with_autoscheduler</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 85%" />
@@ -369,27 +369,27 @@
</colgroup>
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="tune_network_x86.html#sphx-glr-how-to-tune-with-autoscheduler-tune-network-x86-py"><span class="std std-ref">Auto-scheduling a Neural Network for x86 CPU</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_network_x86.py</span></code>)</p></td>
-<td><p>01:33.484</p></td>
+<td><p>01:37.977</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="tune_network_cuda.html#sphx-glr-how-to-tune-with-autoscheduler-tune-network-cuda-py"><span class="std std-ref">Auto-scheduling a Neural Network for NVIDIA GPU</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_network_cuda.py</span></code>)</p></td>
-<td><p>01:13.463</p></td>
+<td><p>01:14.840</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="tune_network_arm.html#sphx-glr-how-to-tune-with-autoscheduler-tune-network-arm-py"><span class="std std-ref">Auto-scheduling a Neural Network for ARM CPU</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_network_arm.py</span></code>)</p></td>
-<td><p>00:18.120</p></td>
+<td><p>00:19.972</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="tune_network_mali.html#sphx-glr-how-to-tune-with-autoscheduler-tune-network-mali-py"><span class="std std-ref">Auto-scheduling a Neural Network for mali GPU</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_network_mali.py</span></code>)</p></td>
-<td><p>00:16.710</p></td>
+<td><p>00:18.384</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="tune_conv2d_layer_cuda.html#sphx-glr-how-to-tune-with-autoscheduler-tune-conv2d-layer-cuda-py"><span class="std std-ref">Auto-scheduling a Convolution Layer for GPU</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_conv2d_layer_cuda.py</span></code>)</p></td>
-<td><p>00:14.955</p></td>
+<td><p>00:16.006</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="tune_sparse_x86.html#sphx-glr-how-to-tune-with-autoscheduler-tune-sparse-x86-py"><span class="std std-ref">Auto-scheduling Sparse Matrix Multiplication on CPU with Custom Sketch Rule</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_sparse_x86.py</span></code>)</p></td>
-<td><p>00:00.102</p></td>
+<td><p>00:00.099</p></td>
<td><p>0.0 MB</p></td>
</tr>
</tbody>
diff --git a/docs/how_to/tune_with_autoscheduler/tune_conv2d_layer_cuda.html b/docs/how_to/tune_with_autoscheduler/tune_conv2d_layer_cuda.html
index 14488da116..7bd1d9d38b 100644
--- a/docs/how_to/tune_with_autoscheduler/tune_conv2d_layer_cuda.html
+++ b/docs/how_to/tune_with_autoscheduler/tune_conv2d_layer_cuda.html
@@ -1032,7 +1032,7 @@ class Module:
<span class="p">)</span>
</pre></div>
</div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Execution time of this operator: 0.338 ms
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Execution time of this operator: 0.346 ms
</pre></div>
</div>
</div>
diff --git a/docs/how_to/tune_with_autoscheduler/tune_network_cuda.html b/docs/how_to/tune_with_autoscheduler/tune_network_cuda.html
index 8886ff958b..1add711b52 100644
--- a/docs/how_to/tune_with_autoscheduler/tune_network_cuda.html
+++ b/docs/how_to/tune_with_autoscheduler/tune_network_cuda.html
@@ -936,7 +936,7 @@ so we can read the log file and load the best schedules.</p>
Evaluate inference time cost...
Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 3.1914 3.1915 3.1918 3.1909 0.0004
+ 3.2375 3.2421 3.2441 3.2264 0.0079
</pre></div>
</div>
</div>
@@ -958,7 +958,7 @@ to learn how to use the RPC Tracker and RPC Server.
To use the RPC Tracker in auto-scheduler, replace the runner in <code class="code docutils literal notranslate"><span class="pre">TuningOptions</span></code>
with <a class="reference internal" href="../../reference/api/python/auto_scheduler.html#tvm.auto_scheduler.RPCRunner" title="tvm.auto_scheduler.RPCRunner"><code class="xref any py py-class docutils literal notranslate"><span class="pre">auto_scheduler.RPCRunner</span></code></a>.</p></li>
</ol>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 13.463 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 14.840 seconds)</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-tune-with-autoscheduler-tune-network-cuda-py">
<div class="sphx-glr-download sphx-glr-download-python docutils container">
<p><a class="reference download internal" download="" href="../../_downloads/eafe360d52540634c9eea0fa89e804bd/tune_network_cuda.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">tune_network_cuda.py</span></code></a></p>
diff --git a/docs/how_to/tune_with_autoscheduler/tune_network_x86.html b/docs/how_to/tune_with_autoscheduler/tune_network_x86.html
index 540c18e604..fa1e55a40b 100644
--- a/docs/how_to/tune_with_autoscheduler/tune_network_x86.html
+++ b/docs/how_to/tune_with_autoscheduler/tune_network_x86.html
@@ -955,7 +955,7 @@ so we can read the log file and load the best schedules.</p>
Evaluate inference time cost...
Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 764.0251 763.9178 764.5126 763.6449 0.3623
+ 750.9185 749.6859 753.4208 749.6489 1.7695
</pre></div>
</div>
</div>
@@ -977,7 +977,7 @@ to learn how to use the RPC Tracker and RPC Server.
To use the RPC Tracker in auto-scheduler, replace the runner in <code class="code docutils literal notranslate"><span class="pre">TuningOptions</span></code>
with <a class="reference internal" href="../../reference/api/python/auto_scheduler.html#tvm.auto_scheduler.RPCRunner" title="tvm.auto_scheduler.RPCRunner"><code class="xref any py py-class docutils literal notranslate"><span class="pre">auto_scheduler.RPCRunner</span></code></a>.</p></li>
</ol>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 33.484 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 37.977 seconds)</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-tune-with-autoscheduler-tune-network-x86-py">
<div class="sphx-glr-download sphx-glr-download-python docutils container">
<p><a class="reference download internal" download="" href="../../_downloads/e416b94ca1090b0897c0f6e0df95b911/tune_network_x86.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">tune_network_x86.py</span></code></a></p>
diff --git a/docs/how_to/tune_with_autotvm/sg_execution_times.html b/docs/how_to/tune_with_autotvm/sg_execution_times.html
index 12185a8ab3..3d38f356c1 100644
--- a/docs/how_to/tune_with_autotvm/sg_execution_times.html
+++ b/docs/how_to/tune_with_autotvm/sg_execution_times.html
@@ -360,7 +360,7 @@
<div class="section" id="computation-times">
<span id="sphx-glr-how-to-tune-with-autotvm-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>00:22.527</strong> total execution time for <strong>how_to_tune_with_autotvm</strong> files:</p>
+<p><strong>00:24.489</strong> total execution time for <strong>how_to_tune_with_autotvm</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 84%" />
@@ -369,22 +369,22 @@
</colgroup>
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="tune_conv2d_cuda.html#sphx-glr-how-to-tune-with-autotvm-tune-conv2d-cuda-py"><span class="std std-ref">Tuning High Performance Convolution on NVIDIA GPUs</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_conv2d_cuda.py</span></code>)</p></td>
-<td><p>00:22.490</p></td>
+<td><p>00:24.451</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="tune_relay_x86.html#sphx-glr-how-to-tune-with-autotvm-tune-relay-x86-py"><span class="std std-ref">Auto-tuning a Convolutional Network for x86 CPU</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_relay_x86.py</span></code>)</p></td>
-<td><p>00:00.021</p></td>
+<td><p>00:00.022</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="tune_relay_cuda.html#sphx-glr-how-to-tune-with-autotvm-tune-relay-cuda-py"><span class="std std-ref">Auto-tuning a Convolutional Network for NVIDIA GPU</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_relay_cuda.py</span></code>)</p></td>
<td><p>00:00.006</p></td>
<td><p>0.0 MB</p></td>
</tr>
-<tr class="row-even"><td><p><a class="reference internal" href="tune_relay_mobile_gpu.html#sphx-glr-how-to-tune-with-autotvm-tune-relay-mobile-gpu-py"><span class="std std-ref">Auto-tuning a Convolutional Network for Mobile GPU</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_relay_mobile_gpu.py</span></code>)</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="tune_relay_arm.html#sphx-glr-how-to-tune-with-autotvm-tune-relay-arm-py"><span class="std std-ref">Auto-tuning a Convolutional Network for ARM CPU</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_relay_arm.py</span></code>)</p></td>
<td><p>00:00.005</p></td>
<td><p>0.0 MB</p></td>
</tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="tune_relay_arm.html#sphx-glr-how-to-tune-with-autotvm-tune-relay-arm-py"><span class="std std-ref">Auto-tuning a Convolutional Network for ARM CPU</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_relay_arm.py</span></code>)</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="tune_relay_mobile_gpu.html#sphx-glr-how-to-tune-with-autotvm-tune-relay-mobile-gpu-py"><span class="std std-ref">Auto-tuning a Convolutional Network for Mobile GPU</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_relay_mobile_gpu.py</span></code>)</p></td>
<td><p>00:00.005</p></td>
<td><p>0.0 MB</p></td>
</tr>
diff --git a/docs/how_to/tune_with_autotvm/tune_conv2d_cuda.html b/docs/how_to/tune_with_autotvm/tune_conv2d_cuda.html
index 6d83cbc517..09d122e18d 100644
--- a/docs/how_to/tune_with_autotvm/tune_conv2d_cuda.html
+++ b/docs/how_to/tune_with_autotvm/tune_conv2d_cuda.html
@@ -630,7 +630,7 @@ and measure running time.</p>
Best config:
,None
-Time cost of this operator: 0.037055
+Time cost of this operator: 0.037089
</pre></div>
</div>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-tune-with-autotvm-tune-conv2d-cuda-py">
diff --git a/docs/how_to/work_with_microtvm/micro_autotune.html b/docs/how_to/work_with_microtvm/micro_autotune.html
index 528377c562..590de70306 100644
--- a/docs/how_to/work_with_microtvm/micro_autotune.html
+++ b/docs/how_to/work_with_microtvm/micro_autotune.html
@@ -664,10 +664,10 @@ the tuned operator.</p>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>########## Build without Autotuning ##########
Node Name Ops Time(us) Time(%) Shape Inputs Outputs Measurements(us)
--------- --- -------- ------- ----- ------ ------- ----------------
-tvmgen_default_fused_nn_contrib_conv2d_NCHWc tvmgen_default_fused_nn_contrib_conv2d_NCHWc 304.8 98.71 (1, 2, 10, 10, 3) 2 1 [304.8]
-tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 3.021 0.978 (1, 6, 10, 10) 1 1 [3.021]
-tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.962 0.311 (1, 1, 10, 10, 3) 1 1 [0.962]
-Total_time - 308.782 - - - - -
+tvmgen_default_fused_nn_contrib_conv2d_NCHWc tvmgen_default_fused_nn_contrib_conv2d_NCHWc 294.5 98.725 (1, 2, 10, 10, 3) 2 1 [294.5]
+tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 2.871 0.962 (1, 6, 10, 10) 1 1 [2.871]
+tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.933 0.313 (1, 1, 10, 10, 3) 1 1 [0.933]
+Total_time - 298.304 - - - - -
</pre></div>
</div>
</div>
@@ -719,13 +719,13 @@ Total_time -
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>########## Build with Autotuning ##########
Node Name Ops Time(us) Time(%) Shape Inputs Outputs Measurements(us)
--------- --- -------- ------- ----- ------ ------- ----------------
-tvmgen_default_fused_nn_contrib_conv2d_NCHWc tvmgen_default_fused_nn_contrib_conv2d_NCHWc 135.6 98.098 (1, 6, 10, 10, 1) 2 1 [135.6]
-tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 1.773 1.283 (1, 6, 10, 10) 1 1 [1.773]
-tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.855 0.619 (1, 3, 10, 10, 1) 1 1 [0.855]
-Total_time - 138.228 - - - - -
+tvmgen_default_fused_nn_contrib_conv2d_NCHWc tvmgen_default_fused_nn_contrib_conv2d_NCHWc 97.938 97.363 (1, 6, 10, 10, 1) 2 1 [97.938]
+tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 1.705 1.695 (1, 6, 10, 10) 1 1 [1.705]
+tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.948 0.942 (1, 1, 10, 10, 3) 1 1 [0.948]
+Total_time - 100.59 - - - - -
</pre></div>
</div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 17.103 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 13.544 seconds)</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-work-with-microtvm-micro-autotune-py">
<div class="sphx-glr-download sphx-glr-download-python docutils container">
<p><a class="reference download internal" download="" href="../../_downloads/9ccca8fd489a1486ac71b55a55c320c5/micro_autotune.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">micro_autotune.py</span></code></a></p>
diff --git a/docs/how_to/work_with_microtvm/micro_pytorch.html b/docs/how_to/work_with_microtvm/micro_pytorch.html
index 29068350ec..94902aa397 100644
--- a/docs/how_to/work_with_microtvm/micro_pytorch.html
+++ b/docs/how_to/work_with_microtvm/micro_pytorch.html
@@ -475,7 +475,7 @@ download a cat image and preprocess it to use as the model input.</p>
Downloading: "https://download.pytorch.org/models/quantized/mobilenet_v2_qnnpack_37f702c5.pth" to /workspace/.cache/torch/hub/checkpoints/mobilenet_v2_qnnpack_37f702c5.pth
0%| | 0.00/3.42M [00:00<?, ?B/s]
-100%|##########| 3.42M/3.42M [00:00<00:00, 207MB/s]
+100%|##########| 3.42M/3.42M [00:00<00:00, 107MB/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.
@@ -603,7 +603,7 @@ via the host <cite>main.cc`</cite> or if a Zephyr emulated board is selected as
Torch top-1 id: 282, class name: tiger cat
</pre></div>
</div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 29.716 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 32.140 seconds)</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-work-with-microtvm-micro-pytorch-py">
<div class="sphx-glr-download sphx-glr-download-python docutils container">
<p><a class="reference download internal" download="" href="../../_downloads/12b9ecc04c41abaa12022061771821d1/micro_pytorch.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">micro_pytorch.py</span></code></a></p>
diff --git a/docs/how_to/work_with_microtvm/micro_train.html b/docs/how_to/work_with_microtvm/micro_train.html
index fc64f13ca0..125732b035 100644
--- a/docs/how_to/work_with_microtvm/micro_train.html
+++ b/docs/how_to/work_with_microtvm/micro_train.html
@@ -543,7 +543,7 @@ take about <strong>2 minutes</strong> to download the Stanford Cars, while COCO
<a href="https://docs.python.org/3/library/shutil.html#shutil.move" title="shutil.move" class="sphx-glr-backref-module-shutil sphx-glr-backref-type-py-function"><span class="n">shutil</span><span class="o">.</span><span class="n">move</span></a><span class="p">(</span><span class="sa">f</span><span class="s2">"</span><span class="si">{</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-typ [...]
</pre></div>
</div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>'/tmp/tmpk08_4m_c/images/random'
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>'/tmp/tmp9bezrz2s/images/random'
</pre></div>
</div>
</div>
@@ -603,8 +603,8 @@ objects to other stuff? We can display some examples from our datasets using <co
<span class="n">plt</span><span class="o">.</span><span class="n">axis</span><span class="p">(</span><span class="s2">"off"</span><span class="p">)</span>
</pre></div>
</div>
-<img src="../../_images/sphx_glr_micro_train_001.png" srcset="../../_images/sphx_glr_micro_train_001.png" alt="[1.0, 0.0], [1.0, 0.0], [1.0, 0.0], [0.0, 1.0], [0.0, 1.0], [0.0, 1.0], [0.0, 1.0], [0.0, 1.0], [1.0, 0.0], [0.0, 1.0]" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/tmp/tmpk08_4m_c/images/target contains 8144 images
-/tmp/tmpk08_4m_c/images/random contains 5000 images
+<img src="../../_images/sphx_glr_micro_train_001.png" srcset="../../_images/sphx_glr_micro_train_001.png" alt="[1.0, 0.0], [1.0, 0.0], [1.0, 0.0], [0.0, 1.0], [0.0, 1.0], [0.0, 1.0], [0.0, 1.0], [0.0, 1.0], [1.0, 0.0], [0.0, 1.0]" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/tmp/tmp9bezrz2s/images/target contains 8144 images
+/tmp/tmp9bezrz2s/images/random contains 5000 images
</pre></div>
</div>
</div>
@@ -716,13 +716,13 @@ the time on our validation set).</p>
</pre></div>
</div>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Epoch 1/3
-328/328 - 40s - loss: 0.2428 - accuracy: 0.9180 - val_loss: 0.1277 - val_accuracy: 0.9603 - 40s/epoch - 122ms/step
+328/328 - 39s - loss: 0.2084 - accuracy: 0.9259 - val_loss: 0.1176 - val_accuracy: 0.9585 - 39s/epoch - 118ms/step
Epoch 2/3
-328/328 - 36s - loss: 0.1010 - accuracy: 0.9638 - val_loss: 0.1126 - val_accuracy: 0.9622 - 36s/epoch - 109ms/step
+328/328 - 34s - loss: 0.0954 - accuracy: 0.9652 - val_loss: 0.0882 - val_accuracy: 0.9687 - 34s/epoch - 105ms/step
Epoch 3/3
-328/328 - 35s - loss: 0.0651 - accuracy: 0.9756 - val_loss: 0.1043 - val_accuracy: 0.9690 - 35s/epoch - 108ms/step
+328/328 - 34s - loss: 0.0624 - accuracy: 0.9754 - val_loss: 0.0815 - val_accuracy: 0.9739 - 34s/epoch - 104ms/step
-<keras.callbacks.History object at 0x7fe9b3bd0b80>
+<keras.callbacks.History object at 0x7f6733a71eb0>
</pre></div>
</div>
</div>
@@ -986,7 +986,7 @@ as intended.</p>
<p>From here, we could modify the model to read live images from the camera - we have another
Arduino tutorial for how to do that <a class="reference external" href="https://github.com/guberti/tvm-arduino-demos/tree/master/examples/person_detection">on GitHub</a>. Alternatively, we could also
<a class="reference external" href="https://tvm.apache.org/docs/how_to/work_with_microtvm/micro_autotune.html">use TVM’s autotuning capabilities</a> to dramatically improve the model’s performance.</p>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 4 minutes 34.131 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 4 minutes 9.068 seconds)</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-work-with-microtvm-micro-train-py">
<div class="sphx-glr-download sphx-glr-download-python docutils container">
<p><a class="reference download internal" download="" href="../../_downloads/b52cec46baf4f78d6bcd94cbe269c8a6/micro_train.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">micro_train.py</span></code></a></p>
diff --git a/docs/how_to/work_with_microtvm/sg_execution_times.html b/docs/how_to/work_with_microtvm/sg_execution_times.html
index 5486dd2ec4..d56e94e801 100644
--- a/docs/how_to/work_with_microtvm/sg_execution_times.html
+++ b/docs/how_to/work_with_microtvm/sg_execution_times.html
@@ -360,7 +360,7 @@
<div class="section" id="computation-times">
<span id="sphx-glr-how-to-work-with-microtvm-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>07:49.873</strong> total execution time for <strong>how_to_work_with_microtvm</strong> files:</p>
+<p><strong>07:23.843</strong> total execution time for <strong>how_to_work_with_microtvm</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 82%" />
@@ -369,27 +369,27 @@
</colgroup>
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="micro_train.html#sphx-glr-how-to-work-with-microtvm-micro-train-py"><span class="std std-ref">5. Training Vision Models for microTVM on Arduino</span></a> (<code class="docutils literal notranslate"><span class="pre">micro_train.py</span></code>)</p></td>
-<td><p>04:34.131</p></td>
+<td><p>04:09.068</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="micro_pytorch.html#sphx-glr-how-to-work-with-microtvm-micro-pytorch-py"><span class="std std-ref">4. microTVM PyTorch Tutorial</span></a> (<code class="docutils literal notranslate"><span class="pre">micro_pytorch.py</span></code>)</p></td>
-<td><p>01:29.716</p></td>
+<td><p>01:32.140</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="micro_autotune.html#sphx-glr-how-to-work-with-microtvm-micro-autotune-py"><span class="std std-ref">6. Model Tuning with microTVM</span></a> (<code class="docutils literal notranslate"><span class="pre">micro_autotune.py</span></code>)</p></td>
-<td><p>01:17.103</p></td>
+<td><p>01:13.544</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="micro_aot.html#sphx-glr-how-to-work-with-microtvm-micro-aot-py"><span class="std std-ref">3. microTVM Ahead-of-Time (AOT) Compilation</span></a> (<code class="docutils literal notranslate"><span class="pre">micro_aot.py</span></code>)</p></td>
-<td><p>00:11.502</p></td>
+<td><p>00:12.212</p></td>
<td><p>0.0 MB</p></td>
</tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="micro_custom_ide.html#sphx-glr-how-to-work-with-microtvm-micro-custom-ide-py"><span class="std std-ref">9. Bring microTVM to your own development environment</span></a> (<code class="docutils literal notranslate"><span class="pre">micro_custom_ide.py</span></code>)</p></td>
-<td><p>00:09.078</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="micro_tflite.html#sphx-glr-how-to-work-with-microtvm-micro-tflite-py"><span class="std std-ref">2. microTVM TFLite Tutorial</span></a> (<code class="docutils literal notranslate"><span class="pre">micro_tflite.py</span></code>)</p></td>
+<td><p>00:08.497</p></td>
<td><p>0.0 MB</p></td>
</tr>
-<tr class="row-even"><td><p><a class="reference internal" href="micro_tflite.html#sphx-glr-how-to-work-with-microtvm-micro-tflite-py"><span class="std std-ref">2. microTVM TFLite Tutorial</span></a> (<code class="docutils literal notranslate"><span class="pre">micro_tflite.py</span></code>)</p></td>
-<td><p>00:08.343</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="micro_custom_ide.html#sphx-glr-how-to-work-with-microtvm-micro-custom-ide-py"><span class="std std-ref">9. Bring microTVM to your own development environment</span></a> (<code class="docutils literal notranslate"><span class="pre">micro_custom_ide.py</span></code>)</p></td>
+<td><p>00:08.382</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="micro_ethosu.html#sphx-glr-how-to-work-with-microtvm-micro-ethosu-py"><span class="std std-ref">7. Running TVM on bare metal Arm(R) Cortex(R)-M55 CPU and Ethos(TM)-U55 NPU with CMSIS-NN</span></a> (<code class="docutils literal notranslate"><span class="pre">micro_ethosu.py</span></code>)</p></td>
diff --git a/docs/how_to/work_with_relay/sg_execution_times.html b/docs/how_to/work_with_relay/sg_execution_times.html
index f5baec40a3..e74c4b0699 100644
--- a/docs/how_to/work_with_relay/sg_execution_times.html
+++ b/docs/how_to/work_with_relay/sg_execution_times.html
@@ -360,7 +360,7 @@
<div class="section" id="computation-times">
<span id="sphx-glr-how-to-work-with-relay-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>00:38.207</strong> total execution time for <strong>how_to_work_with_relay</strong> files:</p>
+<p><strong>00:40.575</strong> total execution time for <strong>how_to_work_with_relay</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 84%" />
@@ -369,15 +369,15 @@
</colgroup>
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="using_pipeline_executor.html#sphx-glr-how-to-work-with-relay-using-pipeline-executor-py"><span class="std std-ref">Using Pipeline Executor in Relay</span></a> (<code class="docutils literal notranslate"><span class="pre">using_pipeline_executor.py</span></code>)</p></td>
-<td><p>00:33.222</p></td>
+<td><p>00:35.038</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="using_external_lib.html#sphx-glr-how-to-work-with-relay-using-external-lib-py"><span class="std std-ref">Using External Libraries in Relay</span></a> (<code class="docutils literal notranslate"><span class="pre">using_external_lib.py</span></code>)</p></td>
-<td><p>00:03.086</p></td>
+<td><p>00:03.363</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="build_gcn.html#sphx-glr-how-to-work-with-relay-build-gcn-py"><span class="std std-ref">Building a Graph Convolutional Network</span></a> (<code class="docutils literal notranslate"><span class="pre">build_gcn.py</span></code>)</p></td>
-<td><p>00:01.893</p></td>
+<td><p>00:02.167</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="using_relay_viz.html#sphx-glr-how-to-work-with-relay-using-relay-viz-py"><span class="std std-ref">Use Relay Visualizer to Visualize Relay</span></a> (<code class="docutils literal notranslate"><span class="pre">using_relay_viz.py</span></code>)</p></td>
diff --git a/docs/how_to/work_with_schedules/intrin_math.html b/docs/how_to/work_with_schedules/intrin_math.html
index 3192894e78..f98102b9cd 100644
--- a/docs/how_to/work_with_schedules/intrin_math.html
+++ b/docs/how_to/work_with_schedules/intrin_math.html
@@ -572,7 +572,7 @@ The following example customizes CUDA lowering rule for <code class="code docuti
<a href="../../reference/api/python/ir.html#tvm.ir.register_intrin_lowering" title="tvm.ir.register_intrin_lowering" class="sphx-glr-backref-module-tvm-ir sphx-glr-backref-type-py-function"><span class="n">register_intrin_lowering</span></a><span class="p">(</span><span class="s2">"tir.exp"</span><span class="p">,</span> <span class="n">target</span><span class="o">=</span><span class="s2">"cuda"</span><span class="p">,</span> <span class="n">f</span><span class="o">= [...]
</pre></div>
</div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span><function my_cuda_math_rule at 0x7fe9b3343040>
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span><function my_cuda_math_rule at 0x7f6919769ee0>
</pre></div>
</div>
<p>Register the rule to TVM with override option to override existing rule.
diff --git a/docs/how_to/work_with_schedules/sg_execution_times.html b/docs/how_to/work_with_schedules/sg_execution_times.html
index c95624010f..18a57acfba 100644
--- a/docs/how_to/work_with_schedules/sg_execution_times.html
+++ b/docs/how_to/work_with_schedules/sg_execution_times.html
@@ -360,7 +360,7 @@
<div class="section" id="computation-times">
<span id="sphx-glr-how-to-work-with-schedules-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>00:05.678</strong> total execution time for <strong>how_to_work_with_schedules</strong> files:</p>
+<p><strong>00:05.668</strong> total execution time for <strong>how_to_work_with_schedules</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 83%" />
@@ -369,15 +369,15 @@
</colgroup>
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="intrin_math.html#sphx-glr-how-to-work-with-schedules-intrin-math-py"><span class="std std-ref">Intrinsics and Math Functions</span></a> (<code class="docutils literal notranslate"><span class="pre">intrin_math.py</span></code>)</p></td>
-<td><p>00:02.538</p></td>
+<td><p>00:02.534</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="tensorize.html#sphx-glr-how-to-work-with-schedules-tensorize-py"><span class="std std-ref">Use Tensorize to Leverage Hardware Intrinsics</span></a> (<code class="docutils literal notranslate"><span class="pre">tensorize.py</span></code>)</p></td>
-<td><p>00:01.433</p></td>
+<td><p>00:01.422</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="reduction.html#sphx-glr-how-to-work-with-schedules-reduction-py"><span class="std std-ref">Reduction</span></a> (<code class="docutils literal notranslate"><span class="pre">reduction.py</span></code>)</p></td>
-<td><p>00:00.719</p></td>
+<td><p>00:00.708</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="scan.html#sphx-glr-how-to-work-with-schedules-scan-py"><span class="std std-ref">Scan and Recurrent Kernel</span></a> (<code class="docutils literal notranslate"><span class="pre">scan.py</span></code>)</p></td>
@@ -385,19 +385,19 @@
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="extern_op.html#sphx-glr-how-to-work-with-schedules-extern-op-py"><span class="std std-ref">External Tensor Functions</span></a> (<code class="docutils literal notranslate"><span class="pre">extern_op.py</span></code>)</p></td>
-<td><p>00:00.115</p></td>
+<td><p>00:00.116</p></td>
<td><p>0.0 MB</p></td>
</tr>
-<tr class="row-even"><td><p><a class="reference internal" href="schedule_primitives.html#sphx-glr-how-to-work-with-schedules-schedule-primitives-py"><span class="std std-ref">Schedule Primitives in TVM</span></a> (<code class="docutils literal notranslate"><span class="pre">schedule_primitives.py</span></code>)</p></td>
-<td><p>00:00.070</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="tedd.html#sphx-glr-how-to-work-with-schedules-tedd-py"><span class="std std-ref">Use Tensor Expression Debug Display (TEDD) for Visualization</span></a> (<code class="docutils literal notranslate"><span class="pre">tedd.py</span></code>)</p></td>
+<td><p>00:00.078</p></td>
<td><p>0.0 MB</p></td>
</tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="tedd.html#sphx-glr-how-to-work-with-schedules-tedd-py"><span class="std std-ref">Use Tensor Expression Debug Display (TEDD) for Visualization</span></a> (<code class="docutils literal notranslate"><span class="pre">tedd.py</span></code>)</p></td>
-<td><p>00:00.066</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="schedule_primitives.html#sphx-glr-how-to-work-with-schedules-schedule-primitives-py"><span class="std std-ref">Schedule Primitives in TVM</span></a> (<code class="docutils literal notranslate"><span class="pre">schedule_primitives.py</span></code>)</p></td>
+<td><p>00:00.067</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="tuple_inputs.html#sphx-glr-how-to-work-with-schedules-tuple-inputs-py"><span class="std std-ref">Compute and Reduce with Tuple Inputs</span></a> (<code class="docutils literal notranslate"><span class="pre">tuple_inputs.py</span></code>)</p></td>
-<td><p>00:00.031</p></td>
+<td><p>00:00.037</p></td>
<td><p>0.0 MB</p></td>
</tr>
</tbody>
diff --git a/docs/reference/api/python/auto_scheduler.html b/docs/reference/api/python/auto_scheduler.html
index c6ddce383c..8d3c83c9a7 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 00d2e5f239..3924657732 100644
--- a/docs/reference/api/typedoc/classes/ArtifactCache.html
+++ b/docs/reference/api/typedoc/classes/ArtifactCache.html
@@ -24,7 +24,7 @@
<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/a7478cc2b/web/src/runtime.ts#L988">runtime.ts:988</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L988">runtime.ts:988</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">
@@ -53,7 +53,7 @@
<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/a7478cc2b/web/src/runtime.ts#L992">runtime.ts:992</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L992">runtime.ts:992</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>
@@ -68,7 +68,7 @@
<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"><</span><span class="tsd-signature-type ">Response</span><span class="tsd-signature-symbol">></span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L996">runtime.ts:996</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L996">runtime.ts:996</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -81,7 +81,7 @@
<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"><</span><span class="tsd-signature-type">boolean</span><span class="tsd-signature-symbol">></span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L1012">runtime.ts:1012</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L1012">runtime.ts:1012</a></li></ul></aside></li></ul></section></section></div>
<div class="col-sidebar">
<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/DLDataType.html b/docs/reference/api/typedoc/classes/DLDataType.html
index fc06f7b4e2..b3fca3b121 100644
--- a/docs/reference/api/typedoc/classes/DLDataType.html
+++ b/docs/reference/api/typedoc/classes/DLDataType.html
@@ -24,7 +24,7 @@
<ul class="tsd-hierarchy">
<li><span class="target">DLDataType</span></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L398">runtime.ts:398</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L398">runtime.ts:398</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
<section class="tsd-panel tsd-index-panel">
<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -63,7 +63,7 @@
<h5><span class="tsd-kind-parameter">lanes</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <a href="DLDataType.html" class="tsd-signature-type tsd-kind-class">DLDataType</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L406">runtime.ts:406</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L406">runtime.ts:406</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>
@@ -73,7 +73,7 @@
</div>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L402">runtime.ts:402</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L402">runtime.ts:402</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">code</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div>
@@ -81,7 +81,7 @@
</div>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L400">runtime.ts:400</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L400">runtime.ts:400</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 viewBox="0 0 24 24"><use href="#icon-anchor"></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>
@@ -89,7 +89,7 @@
</div>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L404">runtime.ts:404</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L404">runtime.ts:404</a></li></ul></aside></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
<section class="tsd-panel tsd-member"><a id="numStorageBytes" class="tsd-anchor"></a>
@@ -99,7 +99,7 @@
<li class="tsd-description">
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L421">runtime.ts:421</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L421">runtime.ts:421</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -107,7 +107,7 @@
<li class="tsd-description">
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">string</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L412">runtime.ts:412</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L412">runtime.ts:412</a></li></ul></aside></li></ul></section></section></div>
<div class="col-sidebar">
<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/DLDevice.html b/docs/reference/api/typedoc/classes/DLDevice.html
index b17139b232..5c62eda20e 100644
--- a/docs/reference/api/typedoc/classes/DLDevice.html
+++ b/docs/reference/api/typedoc/classes/DLDevice.html
@@ -24,7 +24,7 @@
<ul class="tsd-hierarchy">
<li><span class="target">DLDevice</span></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L338">runtime.ts:338</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L338">runtime.ts:338</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
<section class="tsd-panel tsd-index-panel">
<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -62,7 +62,7 @@
<h5><span class="tsd-kind-parameter">lib</span>: <a href="_internal_.FFILibrary.html" class="tsd-signature-type tsd-kind-class">FFILibrary</a></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <a href="DLDevice.html" class="tsd-signature-type tsd-kind-class">DLDevice</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L346">runtime.ts:346</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L346">runtime.ts:346</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Properties</h2>
<section class="tsd-panel tsd-member"><a id="deviceId" class="tsd-anchor"></a>
@@ -72,7 +72,7 @@
</div>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L342">runtime.ts:342</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L342">runtime.ts:342</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 viewBox="0 0 24 24"><use href="#icon-anchor"></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>
@@ -80,7 +80,7 @@
</div>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L340">runtime.ts:340</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L340">runtime.ts:340</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>
@@ -93,7 +93,7 @@
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol"><</span><span class="tsd-signature-type">void</span><span class="tsd-signature-symbol">></span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L365">runtime.ts:365</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L365">runtime.ts:365</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -101,7 +101,7 @@
<li class="tsd-description">
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">string</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L372">runtime.ts:372</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L372">runtime.ts:372</a></li></ul></aside></li></ul></section></section></div>
<div class="col-sidebar">
<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/Instance.html b/docs/reference/api/typedoc/classes/Instance.html
index 4b946f07dd..ad62995d48 100644
--- a/docs/reference/api/typedoc/classes/Instance.html
+++ b/docs/reference/api/typedoc/classes/Instance.html
@@ -41,7 +41,7 @@ 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/a7478cc2b/web/src/runtime.ts#L1040">runtime.ts:1040</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L1040">runtime.ts:1040</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
<section class="tsd-panel tsd-index-panel">
<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -145,24 +145,24 @@ a WASI object, or an object containing wasmLibraryProvider field.</p>
<h4>See</h4><p>Please use the async version <a href="../functions/instantiate.html" class="tsd-kind-function">instantiate</a> when targeting browsers.</p>
</div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L1069">runtime.ts:1069</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L1069">runtime.ts:1069</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 viewBox="0 0 24 24"><use href="#icon-anchor"></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"><</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">></span><span class="tsd-signature-symbol"> = {}</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L1043">runtime.ts:1043</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L1043">runtime.ts:1043</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 viewBox="0 0 24 24"><use href="#icon-anchor"></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"><</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">></span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L1042">runtime.ts:1042</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L1042">runtime.ts:1042</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 viewBox="0 0 24 24"><use href="#icon-anchor"></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/a7478cc2b/web/src/runtime.ts#L1041">runtime.ts:1041</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L1041">runtime.ts:1041</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="applyRepetitionPenalty" class="tsd-anchor"></a>
@@ -193,7 +193,7 @@ a WASI object, or an object containing wasmLibraryProvider field.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">any</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L1756">runtime.ts:1756</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L1756">runtime.ts:1756</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -217,7 +217,7 @@ a WASI object, or an object containing wasmLibraryProvider field.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">any</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L1765">runtime.ts:1765</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L1765">runtime.ts:1765</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -236,7 +236,7 @@ a WASI object, or an object containing wasmLibraryProvider field.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol"><</span><span class="tsd-signature-type">void</span><span class="tsd-signature-symbol">></span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L1923">runtime.ts:1923</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L1923">runtime.ts:1923</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -265,7 +265,7 @@ a WASI object, or an object containing wasmLibraryProvider field.</p>
<a href="Instance.html#detachFromCurrentScope" class="tsd-kind-method">detachFromCurrentScope</a> to create a detached object.</p>
</div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L1192">runtime.ts:1192</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L1192">runtime.ts:1192</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -276,7 +276,7 @@ a WASI object, or an object containing wasmLibraryProvider field.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L1151">runtime.ts:1151</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L1151">runtime.ts:1151</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -312,7 +312,7 @@ a WASI object, or an object containing wasmLibraryProvider field.</p>
<h4>Repeat</h4><p>The number of times to repeat the run.</p>
</div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L1110">runtime.ts:1110</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L1110">runtime.ts:1110</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -331,7 +331,7 @@ a WASI object, or an object containing wasmLibraryProvider field.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L1773">runtime.ts:1773</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L1773">runtime.ts:1773</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -342,7 +342,7 @@ a WASI object, or an object containing wasmLibraryProvider field.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L1804">runtime.ts:1804</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L1804">runtime.ts:1804</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -361,7 +361,7 @@ a WASI object, or an object containing wasmLibraryProvider field.</p>
<h4 class="tsd-returns-title">Returns <a href="DLDevice.html" class="tsd-signature-type tsd-kind-class">DLDevice</a></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L1654">runtime.ts:1654</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L1654">runtime.ts:1654</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -381,7 +381,7 @@ a WASI object, or an object containing wasmLibraryProvider field.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L1370">runtime.ts:1370</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L1370">runtime.ts:1370</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -409,7 +409,7 @@ so it won't be released via auto-release during endscope.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type tsd-kind-type-parameter">T</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L1219">runtime.ts:1219</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L1219">runtime.ts:1219</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -434,7 +434,7 @@ so it won't be released via auto-release during endscope.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L1646">runtime.ts:1646</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L1646">runtime.ts:1646</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -448,7 +448,7 @@ only the first call will take effect.</p>
<div class="tsd-comment tsd-typography"></div><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/a7478cc2b/web/src/runtime.ts#L1131">runtime.ts:1131</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L1131">runtime.ts:1131</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="empty" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>empty</span><a href="#empty" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -478,7 +478,7 @@ only the first call will take effect.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L1674">runtime.ts:1674</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L1674">runtime.ts:1674</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -492,7 +492,7 @@ a value to parent scope.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L1162">runtime.ts:1162</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L1162">runtime.ts:1162</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -522,7 +522,7 @@ a value to parent scope.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L1461">runtime.ts:1461</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L1461">runtime.ts:1461</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -542,7 +542,7 @@ a value to parent scope.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L1307">runtime.ts:1307</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L1307">runtime.ts:1307</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -566,7 +566,7 @@ 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>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L1398">runtime.ts:1398</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L1398">runtime.ts:1398</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -586,7 +586,7 @@ a value to parent scope.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L1409">runtime.ts:1409</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L1409">runtime.ts:1409</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -605,7 +605,7 @@ a value to parent scope.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L1988">runtime.ts:1988</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L1988">runtime.ts:1988</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -625,7 +625,7 @@ a value to parent scope.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L1342">runtime.ts:1342</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L1342">runtime.ts:1342</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -637,7 +637,7 @@ a value to parent scope.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L1235">runtime.ts:1235</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L1235">runtime.ts:1235</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -657,7 +657,7 @@ a value to parent scope.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L1838">runtime.ts:1838</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L1838">runtime.ts:1838</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -677,7 +677,7 @@ a value to parent scope.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L1829">runtime.ts:1829</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L1829">runtime.ts:1829</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -699,7 +699,7 @@ and needs to b explicitly disposed.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L1817">runtime.ts:1817</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L1817">runtime.ts:1817</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -726,7 +726,7 @@ alive when exit the current scope.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L1205">runtime.ts:1205</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L1205">runtime.ts:1205</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -737,7 +737,7 @@ alive when exit the current scope.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L1449">runtime.ts:1449</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L1449">runtime.ts:1449</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -757,7 +757,7 @@ alive when exit the current scope.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L1422">runtime.ts:1422</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L1422">runtime.ts:1422</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -777,7 +777,7 @@ alive when exit the current scope.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L1431">runtime.ts:1431</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L1431">runtime.ts:1431</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -803,7 +803,7 @@ alive when exit the current scope.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L1440">runtime.ts:1440</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L1440">runtime.ts:1440</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -834,7 +834,7 @@ alive when exit the current scope.</p>
<h4>Note</h4><p>The async function will only be used for serving remote calls in the rpc.</p>
</div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L1896">runtime.ts:1896</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L1896">runtime.ts:1896</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -860,7 +860,7 @@ alive when exit the current scope.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L1274">runtime.ts:1274</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L1274">runtime.ts:1274</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -879,7 +879,7 @@ alive when exit the current scope.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L1387">runtime.ts:1387</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L1387">runtime.ts:1387</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -908,7 +908,7 @@ alive when exit the current scope.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L1875">runtime.ts:1875</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L1875">runtime.ts:1875</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -919,7 +919,7 @@ alive when exit the current scope.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">string</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L1140">runtime.ts:1140</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L1140">runtime.ts:1140</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -949,7 +949,7 @@ alive when exit the current scope.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L1746">runtime.ts:1746</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L1746">runtime.ts:1746</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -974,7 +974,7 @@ alive when exit the current scope.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L1636">runtime.ts:1636</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L1636">runtime.ts:1636</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -1008,7 +1008,7 @@ Allocate new temporary space from the stack if necessary.</p>
<h4>Parma</h4><p>stack The call stack</p>
</div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L2121">runtime.ts:2121</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L2121">runtime.ts:2121</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -1027,7 +1027,7 @@ Allocate new temporary space from the stack if necessary.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L1782">runtime.ts:1782</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L1782">runtime.ts:1782</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -1040,7 +1040,7 @@ System lib is a global module that contains self register functions in startup.<
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L1228">runtime.ts:1228</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L1228">runtime.ts:1228</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -1060,7 +1060,7 @@ System lib is a global module that contains self register functions in startup.<
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L1590">runtime.ts:1590</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L1590">runtime.ts:1590</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -1080,7 +1080,7 @@ System lib is a global module that contains self register functions in startup.<
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L1353">runtime.ts:1353</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L1353">runtime.ts:1353</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -1100,7 +1100,7 @@ System lib is a global module that contains self register functions in startup.<
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L1847">runtime.ts:1847</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L1847">runtime.ts:1847</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -1135,7 +1135,7 @@ System lib is a global module that contains self register functions in startup.<
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L1720">runtime.ts:1720</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L1720">runtime.ts:1720</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -1154,7 +1154,7 @@ System lib is a global module that contains self register functions in startup.<
<h4 class="tsd-returns-title">Returns <a href="DLDevice.html" class="tsd-signature-type tsd-kind-class">DLDevice</a></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L1662">runtime.ts:1662</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L1662">runtime.ts:1662</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -1189,7 +1189,7 @@ System lib is a global module that contains self register functions in startup.<
for the objects that are created in the scope.</p>
</div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L1176">runtime.ts:1176</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L1176">runtime.ts:1176</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/Module.html b/docs/reference/api/typedoc/classes/Module.html
index 4b9489dd72..691f4136d3 100644
--- a/docs/reference/api/typedoc/classes/Module.html
+++ b/docs/reference/api/typedoc/classes/Module.html
@@ -28,7 +28,7 @@
<ul class="tsd-hierarchy">
<li><a href="../interfaces/Disposable.html" class="tsd-signature-type tsd-kind-interface">Disposable</a></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L686">runtime.ts:686</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L686">runtime.ts:686</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">
@@ -74,7 +74,7 @@
<h4 class="tsd-returns-title">Returns <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></h4></li></ul></li></ul></li></ul></div>
<h4 class="tsd-returns-title">Returns <a href="Module.html" class="tsd-signature-type tsd-kind-class">Module</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L691">runtime.ts:691</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L691">runtime.ts:691</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>
@@ -90,7 +90,7 @@ only the first call will take effect.</p>
<div class="tsd-comment tsd-typography"></div><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/a7478cc2b/web/src/runtime.ts#L701">runtime.ts:701</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L701">runtime.ts:701</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -115,7 +115,7 @@ only the first call will take effect.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L729">runtime.ts:729</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L729">runtime.ts:729</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -135,7 +135,7 @@ only the first call will take effect.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L716">runtime.ts:716</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L716">runtime.ts:716</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="importModule" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>import<wbr/>Module</span><a href="#importModule" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -154,7 +154,7 @@ only the first call will take effect.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L763">runtime.ts:763</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L763">runtime.ts:763</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/NDArray.html b/docs/reference/api/typedoc/classes/NDArray.html
index bcb8828b00..3f74607562 100644
--- a/docs/reference/api/typedoc/classes/NDArray.html
+++ b/docs/reference/api/typedoc/classes/NDArray.html
@@ -28,7 +28,7 @@
<ul class="tsd-hierarchy">
<li><a href="../interfaces/Disposable.html" class="tsd-signature-type tsd-kind-interface">Disposable</a></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L429">runtime.ts:429</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L429">runtime.ts:429</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">
@@ -77,7 +77,7 @@
<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="NDArray.html" class="tsd-signature-type tsd-kind-class">NDArray</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L449">runtime.ts:449</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L449">runtime.ts:449</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Properties</h2>
<section class="tsd-panel tsd-member"><a id="device" class="tsd-anchor"></a>
@@ -87,7 +87,7 @@
</div>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L439">runtime.ts:439</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L439">runtime.ts:439</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="dtype" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>dtype</span><a href="#dtype" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<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>
@@ -95,7 +95,7 @@
</div>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L435">runtime.ts:435</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L435">runtime.ts:435</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="isView" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>is<wbr/>View</span><a href="#isView" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">is<wbr/>View</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">boolean</span></div>
@@ -103,7 +103,7 @@
</div>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L441">runtime.ts:441</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L441">runtime.ts:441</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="ndim" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>ndim</span><a href="#ndim" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">ndim</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div>
@@ -111,7 +111,7 @@
</div>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L433">runtime.ts:433</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L433">runtime.ts:433</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="shape" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>shape</span><a href="#shape" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">shape</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">[]</span></div>
@@ -119,7 +119,7 @@
</div>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L437">runtime.ts:437</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L437">runtime.ts:437</a></li></ul></aside></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
<section class="tsd-panel tsd-member"><a id="copyFrom" class="tsd-anchor"></a>
@@ -142,7 +142,7 @@ The number of elements must match.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L549">runtime.ts:549</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L549">runtime.ts:549</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -162,7 +162,7 @@ The number of elements must match.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L593">runtime.ts:593</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L593">runtime.ts:593</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -176,7 +176,7 @@ only the first call will take effect.</p>
<div class="tsd-comment tsd-typography"></div><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/a7478cc2b/web/src/runtime.ts#L534">runtime.ts:534</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L534">runtime.ts:534</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -188,7 +188,7 @@ only the first call will take effect.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L527">runtime.ts:527</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L527">runtime.ts:527</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -208,7 +208,7 @@ only the first call will take effect.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L515">runtime.ts:515</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L515">runtime.ts:515</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -221,7 +221,7 @@ the dtype of the NDArray.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L659">runtime.ts:659</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L659">runtime.ts:659</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -233,7 +233,7 @@ the dtype of the NDArray.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L628">runtime.ts:628</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L628">runtime.ts:628</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="view" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>view</span><a href="#view" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -253,7 +253,7 @@ the dtype of the NDArray.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L504">runtime.ts:504</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L504">runtime.ts:504</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/RPCServer.html b/docs/reference/api/typedoc/classes/RPCServer.html
index 9c66c84268..f699d83f4a 100644
--- a/docs/reference/api/typedoc/classes/RPCServer.html
+++ b/docs/reference/api/typedoc/classes/RPCServer.html
@@ -24,7 +24,7 @@
<ul class="tsd-hierarchy">
<li><span class="target">RPCServer</span></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/rpc_server.ts#L77">rpc_server.ts:77</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/rpc_server.ts#L77">rpc_server.ts:77</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">
@@ -99,7 +99,7 @@
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol"><</span><span class="tsd-signature-type">void</span><span class="tsd-signature-symbol">></span></h4></li></ul></li></ul></li></ul></div>
<h4 class="tsd-returns-title">Returns <a href="RPCServer.html" class="tsd-signature-type tsd-kind-class">RPCServer</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/rpc_server.ts#L100">rpc_server.ts:100</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/rpc_server.ts#L100">rpc_server.ts:100</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Properties</h2>
<section class="tsd-panel tsd-member"><a id="getImports" class="tsd-anchor"></a>
@@ -114,12 +114,12 @@
<li class="tsd-description">
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Record</span><span class="tsd-signature-symbol"><</span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">, </span><span class="tsd-signature-type">unknown</span><span class="tsd-signature-symbol">></span></h4></li></ul></li></ul></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/rpc_server.ts#L83">rpc_server.ts:83</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/rpc_server.ts#L83">rpc_server.ts:83</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="key" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>key</span><a href="#key" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">key</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">string</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/rpc_server.ts#L79">rpc_server.ts:79</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/rpc_server.ts#L79">rpc_server.ts:79</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="logger" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>logger</span><a href="#logger" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></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"> => </span><span class="tsd-signature-type">void</span><span class="tsd-signature-symbol">)</span></div>
@@ -137,22 +137,22 @@
<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/a7478cc2b/web/src/rpc_server.ts#L82">rpc_server.ts:82</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/rpc_server.ts#L82">rpc_server.ts:82</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="socket" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>socket</span><a href="#socket" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">socket</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type ">WebSocket</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/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/2c49e01a0/web/src/rpc_server.ts#L80">rpc_server.ts:80</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="state" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>state</span><a href="#state" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">state</span><span class="tsd-signature-symbol">:</span> <a href="../enums/_internal_.RPCServerState.html" class="tsd-signature-type tsd-kind-enum">RPCServerState</a><span class="tsd-signature-symbol"> = RPCServerState.InitHeader</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/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/2c49e01a0/web/src/rpc_server.ts#L81">rpc_server.ts:81</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="url" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>url</span><a href="#url" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">url</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">string</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/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/2c49e01a0/web/src/rpc_server.ts#L78">rpc_server.ts:78</a></li></ul></aside></section></section></div>
<div class="col-sidebar">
<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/Scalar.html b/docs/reference/api/typedoc/classes/Scalar.html
index f7de219c6b..f550904f44 100644
--- a/docs/reference/api/typedoc/classes/Scalar.html
+++ b/docs/reference/api/typedoc/classes/Scalar.html
@@ -25,7 +25,7 @@ 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/a7478cc2b/web/src/runtime.ts#L276">runtime.ts:276</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L276">runtime.ts:276</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">
@@ -56,7 +56,7 @@ argument to PackedFunc calls.</p>
<h5><span class="tsd-kind-parameter">dtype</span>: <span class="tsd-signature-type">string</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <a href="Scalar.html" class="tsd-signature-type tsd-kind-class">Scalar</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L282">runtime.ts:282</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L282">runtime.ts:282</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Properties</h2>
<section class="tsd-panel tsd-member"><a id="dtype" class="tsd-anchor"></a>
@@ -66,7 +66,7 @@ argument to PackedFunc calls.</p>
</div>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L280">runtime.ts:280</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L280">runtime.ts:280</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="value" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>value</span><a href="#value" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">value</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div>
@@ -74,7 +74,7 @@ argument to PackedFunc calls.</p>
</div>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L278">runtime.ts:278</a></li></ul></aside></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L278">runtime.ts:278</a></li></ul></aside></section></section></div>
<div class="col-sidebar">
<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/TVMArray.html b/docs/reference/api/typedoc/classes/TVMArray.html
index 75ebad74d1..e37a6024fe 100644
--- a/docs/reference/api/typedoc/classes/TVMArray.html
+++ b/docs/reference/api/typedoc/classes/TVMArray.html
@@ -26,7 +26,7 @@
<ul class="tsd-hierarchy">
<li><span class="target">TVMArray</span></li></ul></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L860">runtime.ts:860</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L860">runtime.ts:860</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">
@@ -64,7 +64,7 @@
<h4 class="tsd-returns-title">Returns <a href="TVMArray.html" class="tsd-signature-type tsd-kind-class">TVMArray</a></h4><aside class="tsd-sources">
<p>Overrides <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#constructor">constructor</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L861">runtime.ts:861</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L861">runtime.ts:861</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>
@@ -80,7 +80,7 @@ only the first call will take effect.</p>
<div class="tsd-comment tsd-typography"></div><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/a7478cc2b/web/src/runtime.ts#L791">runtime.ts:791</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L791">runtime.ts:791</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -100,7 +100,7 @@ only the first call will take effect.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L880">runtime.ts:880</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L880">runtime.ts:880</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures tsd-is-inherited">
@@ -121,7 +121,7 @@ only the first call will take effect.</p>
<div class="tsd-comment tsd-typography"></div><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/a7478cc2b/web/src/runtime.ts#L806">runtime.ts:806</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L806">runtime.ts:806</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -131,7 +131,7 @@ only the first call will take effect.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L872">runtime.ts:872</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L872">runtime.ts:872</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures tsd-is-inherited">
@@ -143,7 +143,7 @@ only the first call will take effect.</p>
<div class="tsd-comment tsd-typography"></div><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/a7478cc2b/web/src/runtime.ts#L814">runtime.ts:814</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L814">runtime.ts:814</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures tsd-is-inherited">
@@ -155,7 +155,7 @@ only the first call will take effect.</p>
<div class="tsd-comment tsd-typography"></div><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/a7478cc2b/web/src/runtime.ts#L834">runtime.ts:834</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L834">runtime.ts:834</a></li></ul></aside></li></ul></section></section></div>
<div class="col-sidebar">
<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/TVMObject.html b/docs/reference/api/typedoc/classes/TVMObject.html
index 91a853745b..2db058ec68 100644
--- a/docs/reference/api/typedoc/classes/TVMObject.html
+++ b/docs/reference/api/typedoc/classes/TVMObject.html
@@ -31,7 +31,7 @@
<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/a7478cc2b/web/src/runtime.ts#L776">runtime.ts:776</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L776">runtime.ts:776</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">
@@ -66,7 +66,7 @@
<h5><span class="tsd-kind-parameter">ctx</span>: <a href="_internal_.RuntimeContext.html" class="tsd-signature-type tsd-kind-class">RuntimeContext</a></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <a href="TVMObject.html" class="tsd-signature-type tsd-kind-class">TVMObject</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L781">runtime.ts:781</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L781">runtime.ts:781</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>
@@ -82,7 +82,7 @@ only the first call will take effect.</p>
<div class="tsd-comment tsd-typography"></div><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/a7478cc2b/web/src/runtime.ts#L791">runtime.ts:791</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L791">runtime.ts:791</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -102,7 +102,7 @@ only the first call will take effect.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L806">runtime.ts:806</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L806">runtime.ts:806</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -113,7 +113,7 @@ only the first call will take effect.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L814">runtime.ts:814</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L814">runtime.ts:814</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -124,7 +124,7 @@ only the first call will take effect.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">string</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L834">runtime.ts:834</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L834">runtime.ts:834</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/VirtualMachine.html b/docs/reference/api/typedoc/classes/VirtualMachine.html
index 152ad5ee3a..597e11a377 100644
--- a/docs/reference/api/typedoc/classes/VirtualMachine.html
+++ b/docs/reference/api/typedoc/classes/VirtualMachine.html
@@ -31,7 +31,7 @@
<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/a7478cc2b/web/src/runtime.ts#L915">runtime.ts:915</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L915">runtime.ts:915</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">
@@ -72,7 +72,7 @@
<h4 class="tsd-returns-title">Returns <a href="VirtualMachine.html" class="tsd-signature-type tsd-kind-class">VirtualMachine</a></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L922">runtime.ts:922</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L922">runtime.ts:922</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>
@@ -88,7 +88,7 @@ only the first call will take effect.</p>
<div class="tsd-comment tsd-typography"></div><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/a7478cc2b/web/src/runtime.ts#L935">runtime.ts:935</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L935">runtime.ts:935</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -108,7 +108,7 @@ only the first call will take effect.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L943">runtime.ts:943</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L943">runtime.ts:943</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 viewBox="0 0 24 24"><use href="#icon-anchor"></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 <a href="Module.html" class="tsd-signature-type tsd-kind-class">Module</a></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L950">runtime.ts:950</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L950">runtime.ts:950</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_.CachedCallStack.html b/docs/reference/api/typedoc/classes/_internal_.CachedCallStack.html
index 4e480d6c1a..e2200b5521 100644
--- a/docs/reference/api/typedoc/classes/_internal_.CachedCallStack.html
+++ b/docs/reference/api/typedoc/classes/_internal_.CachedCallStack.html
@@ -37,7 +37,7 @@ 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/a7478cc2b/web/src/memory.ts#L206">memory.ts:206</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/memory.ts#L206">memory.ts:206</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
<section class="tsd-panel tsd-index-panel">
<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -87,7 +87,7 @@ 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/a7478cc2b/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/2c49e01a0/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>
@@ -97,7 +97,7 @@ can still call into storeXX</li>
</div>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/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/2c49e01a0/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>
@@ -119,7 +119,7 @@ can still call into storeXX</li>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/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/2c49e01a0/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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -140,7 +140,7 @@ can still call into storeXX</li>
<h4>Note</h4><p>This function always allocate space that aligns to 64bit.</p>
</div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/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/2c49e01a0/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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -165,7 +165,7 @@ Allocate new temporary space for bytes.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/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/2c49e01a0/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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -192,7 +192,7 @@ and will be filled when we commit the data.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/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/2c49e01a0/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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -213,7 +213,7 @@ No further store function should be called.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/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/2c49e01a0/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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -227,7 +227,7 @@ only the first call will take effect.</p>
<div class="tsd-comment tsd-typography"></div><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/a7478cc2b/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/2c49e01a0/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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -247,7 +247,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/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/2c49e01a0/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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -258,7 +258,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/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/2c49e01a0/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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -273,7 +273,7 @@ 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/a7478cc2b/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/2c49e01a0/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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -288,7 +288,7 @@ 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/a7478cc2b/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/2c49e01a0/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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -303,7 +303,7 @@ 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/a7478cc2b/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/2c49e01a0/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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -318,7 +318,7 @@ 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/a7478cc2b/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/2c49e01a0/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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -333,7 +333,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
<h5><span class="tsd-kind-parameter">bytes</span>: <span class="tsd-signature-type ">Uint8Array</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/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/2c49e01a0/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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -348,7 +348,7 @@ 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/a7478cc2b/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/2c49e01a0/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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -363,7 +363,7 @@ 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/a7478cc2b/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/2c49e01a0/web/src/memory.ts#L334">memory.ts:334</a></li></ul></aside></li></ul></section></section></div>
<div class="col-sidebar">
<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/_internal_.CanvasRenderManager.html b/docs/reference/api/typedoc/classes/_internal_.CanvasRenderManager.html
index 6f61c6b388..ad7abcb846 100644
--- a/docs/reference/api/typedoc/classes/_internal_.CanvasRenderManager.html
+++ b/docs/reference/api/typedoc/classes/_internal_.CanvasRenderManager.html
@@ -30,7 +30,7 @@ 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/a7478cc2b/web/src/webgpu.ts#L158">webgpu.ts:158</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/webgpu.ts#L158">webgpu.ts:158</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
<section class="tsd-panel tsd-index-panel">
<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -62,7 +62,7 @@ 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/a7478cc2b/web/src/webgpu.ts#L167">webgpu.ts:167</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/webgpu.ts#L167">webgpu.ts:167</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>
@@ -72,7 +72,7 @@ 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/a7478cc2b/web/src/webgpu.ts#L241">webgpu.ts:241</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/webgpu.ts#L241">webgpu.ts:241</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -86,7 +86,7 @@ only the first call will take effect.</p>
<div class="tsd-comment tsd-typography"></div><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/a7478cc2b/web/src/webgpu.ts#L317">webgpu.ts:317</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/webgpu.ts#L317">webgpu.ts:317</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -103,7 +103,7 @@ 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/a7478cc2b/web/src/webgpu.ts#L267">webgpu.ts:267</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/webgpu.ts#L267">webgpu.ts:267</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 fdceb53441..799a5a2d1f 100644
--- a/docs/reference/api/typedoc/classes/_internal_.Environment.html
+++ b/docs/reference/api/typedoc/classes/_internal_.Environment.html
@@ -29,7 +29,7 @@
<ul class="tsd-hierarchy">
<li><a href="../interfaces/LibraryProvider.html" class="tsd-signature-type tsd-kind-interface">LibraryProvider</a></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/environment.ts#L68">environment.ts:68</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/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">
@@ -77,7 +77,7 @@
<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/a7478cc2b/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/2c49e01a0/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>
@@ -88,7 +88,7 @@
<div class="tsd-comment tsd-typography"></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/a7478cc2b/web/src/environment.ts#L70">environment.ts:70</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/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 viewBox="0 0 24 24"><use href="#icon-anchor"></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"> => </span><span class="tsd-signature-type">void</span><span class="tsd-signature-symbol">)</span></div>
@@ -106,7 +106,7 @@
<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/a7478cc2b/web/src/environment.ts#L69">environment.ts:69</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/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 viewBox="0 0 24 24"><use href="#icon-anchor"></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>
@@ -117,7 +117,7 @@ of functions that do not maps to the address space.</p>
</div>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/environment.ts#L78">environment.ts:78</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/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 viewBox="0 0 24 24"><use href="#icon-anchor"></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>
@@ -125,7 +125,7 @@ of functions that do not maps to the address space.</p>
</div>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/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/2c49e01a0/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>
@@ -144,7 +144,7 @@ of functions that do not maps to the address space.</p>
<div class="tsd-comment tsd-typography"></div><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/a7478cc2b/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/2c49e01a0/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 211a1daaee..ce577960ae 100644
--- a/docs/reference/api/typedoc/classes/_internal_.FFILibrary.html
+++ b/docs/reference/api/typedoc/classes/_internal_.FFILibrary.html
@@ -29,7 +29,7 @@
<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/a7478cc2b/web/src/runtime.ts#L43">runtime.ts:43</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/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">
@@ -70,29 +70,29 @@
<h5><span class="tsd-kind-parameter">imports</span>: <span class="tsd-signature-type ">Record</span><span class="tsd-signature-symbol"><</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">></span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <a href="_internal_.FFILibrary.html" class="tsd-signature-type tsd-kind-class">FFILibrary</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/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/2c49e01a0/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 viewBox="0 0 24 24"><use href="#icon-anchor"></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"><</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">></span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L46">runtime.ts:46</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/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 viewBox="0 0 24 24"><use href="#icon-anchor"></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/a7478cc2b/web/src/runtime.ts#L45">runtime.ts:45</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">wasm32</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">boolean</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L44">runtime.ts:44</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/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 viewBox="0 0 24 24"><use href="#icon-anchor"></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/a7478cc2b/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/2c49e01a0/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>
@@ -107,7 +107,7 @@
<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/a7478cc2b/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/2c49e01a0/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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -121,7 +121,7 @@ only the first call will take effect.</p>
<div class="tsd-comment tsd-typography"></div><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/a7478cc2b/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/2c49e01a0/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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -129,7 +129,7 @@ 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/a7478cc2b/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/2c49e01a0/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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -142,7 +142,7 @@ 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/a7478cc2b/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/2c49e01a0/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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -150,7 +150,7 @@ 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/a7478cc2b/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/2c49e01a0/web/src/runtime.ts#L73">runtime.ts:73</a></li></ul></aside></li></ul></section></section></div>
<div class="col-sidebar">
<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/_internal_.Memory.html b/docs/reference/api/typedoc/classes/_internal_.Memory.html
index b57aac9dff..5d4abe910a 100644
--- a/docs/reference/api/typedoc/classes/_internal_.Memory.html
+++ b/docs/reference/api/typedoc/classes/_internal_.Memory.html
@@ -25,7 +25,7 @@
<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/a7478cc2b/web/src/memory.ts#L31">memory.ts:31</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/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">
@@ -71,19 +71,19 @@
<h5><span class="tsd-kind-parameter">memory</span>: <span class="tsd-signature-type ">Memory</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <a href="_internal_.Memory.html" class="tsd-signature-type tsd-kind-class">Memory</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/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/2c49e01a0/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 viewBox="0 0 24 24"><use href="#icon-anchor"></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/a7478cc2b/web/src/memory.ts#L32">memory.ts:32</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/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 viewBox="0 0 24 24"><use href="#icon-anchor"></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/a7478cc2b/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/2c49e01a0/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>
@@ -104,7 +104,7 @@
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">string</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/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/2c49e01a0/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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -117,7 +117,7 @@
<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/a7478cc2b/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/2c49e01a0/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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -130,7 +130,7 @@
<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/a7478cc2b/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/2c49e01a0/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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -143,7 +143,7 @@
<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/a7478cc2b/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/2c49e01a0/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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -156,7 +156,7 @@
<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/a7478cc2b/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/2c49e01a0/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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -169,7 +169,7 @@
<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/a7478cc2b/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/2c49e01a0/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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -193,7 +193,7 @@
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Uint8Array</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/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/2c49e01a0/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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -212,7 +212,7 @@
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Uint8Array</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/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/2c49e01a0/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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -225,7 +225,7 @@
<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/a7478cc2b/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/2c49e01a0/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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -238,7 +238,7 @@
<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/a7478cc2b/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/2c49e01a0/web/src/memory.ts#L67">memory.ts:67</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="loadU8" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>load<wbr/>U8</span><a href="#loadU8" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -251,7 +251,7 @@
<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/a7478cc2b/web/src/memory.ts#L53">memory.ts:53</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -264,7 +264,7 @@
<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/a7478cc2b/web/src/memory.ts#L114">memory.ts:114</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/memory.ts#L114">memory.ts:114</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="sizeofPtr" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>sizeof<wbr/>Ptr</span><a href="#sizeofPtr" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -272,7 +272,7 @@
<li class="tsd-description">
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/memory.ts#L124">memory.ts:124</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/memory.ts#L124">memory.ts:124</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="storeRawBytes" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>store<wbr/>Raw<wbr/>Bytes</span><a href="#storeRawBytes" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -296,7 +296,7 @@
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/memory.ts#L175">memory.ts:175</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/memory.ts#L175">memory.ts:175</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_.PackedFuncCell.html b/docs/reference/api/typedoc/classes/_internal_.PackedFuncCell.html
index 0610544401..b616b29ea5 100644
--- a/docs/reference/api/typedoc/classes/_internal_.PackedFuncCell.html
+++ b/docs/reference/api/typedoc/classes/_internal_.PackedFuncCell.html
@@ -29,7 +29,7 @@
<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/a7478cc2b/web/src/runtime.ts#L291">runtime.ts:291</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L291">runtime.ts:291</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">
@@ -60,7 +60,7 @@
<h5><span class="tsd-kind-parameter">lib</span>: <a href="_internal_.FFILibrary.html" class="tsd-signature-type tsd-kind-class">FFILibrary</a></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <a href="_internal_.PackedFuncCell.html" class="tsd-signature-type tsd-kind-class">PackedFuncCell</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L295">runtime.ts:295</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L295">runtime.ts:295</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
<section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
@@ -76,7 +76,7 @@ only the first call will take effect.</p>
<div class="tsd-comment tsd-typography"></div><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/a7478cc2b/web/src/runtime.ts#L300">runtime.ts:300</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L300">runtime.ts:300</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -89,7 +89,7 @@ only the first call will take effect.</p>
<h5><span class="tsd-kind-parameter">requireNotNull</span>: <span class="tsd-signature-type">boolean</span><span class="tsd-signature-symbol"> = true</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L309">runtime.ts:309</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L309">runtime.ts:309</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_.RuntimeContext.html b/docs/reference/api/typedoc/classes/_internal_.RuntimeContext.html
index e515891b4f..ac31292799 100644
--- a/docs/reference/api/typedoc/classes/_internal_.RuntimeContext.html
+++ b/docs/reference/api/typedoc/classes/_internal_.RuntimeContext.html
@@ -29,7 +29,7 @@
<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/a7478cc2b/web/src/runtime.ts#L143">runtime.ts:143</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L143">runtime.ts:143</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">
@@ -94,99 +94,99 @@
<h4 class="tsd-returns-title">Returns <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></h4></li></ul></li></ul></li></ul></div>
<h4 class="tsd-returns-title">Returns <a href="_internal_.RuntimeContext.html" class="tsd-signature-type tsd-kind-class">RuntimeContext</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L165">runtime.ts:165</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L165">runtime.ts:165</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="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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">apply<wbr/>Repetition<wbr/>Penalty</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L160">runtime.ts:160</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L160">runtime.ts:160</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="applySoftmaxWithTemperature" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>apply<wbr/>Softmax<wbr/>With<wbr/>Temperature</span><a href="#applySoftmaxWithTemperature" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">apply<wbr/>Softmax<wbr/>With<wbr/>Temperature</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L161">runtime.ts:161</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L161">runtime.ts:161</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="arrayCacheClear" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>array<wbr/>Cache<wbr/>Clear</span><a href="#arrayCacheClear" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">array<wbr/>Cache<wbr/>Clear</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L153">runtime.ts:153</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L153">runtime.ts:153</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="arrayCacheGet" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>array<wbr/>Cache<wbr/>Get</span><a href="#arrayCacheGet" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">array<wbr/>Cache<wbr/>Get</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L150">runtime.ts:150</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L150">runtime.ts:150</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="arrayCacheRemove" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>array<wbr/>Cache<wbr/>Remove</span><a href="#arrayCacheRemove" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">array<wbr/>Cache<wbr/>Remove</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L152">runtime.ts:152</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L152">runtime.ts:152</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="arrayCacheUpdate" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>array<wbr/>Cache<wbr/>Update</span><a href="#arrayCacheUpdate" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">array<wbr/>Cache<wbr/>Update</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L151">runtime.ts:151</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L151">runtime.ts:151</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="arrayDecodeStorage" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>array<wbr/>Decode<wbr/>Storage</span><a href="#arrayDecodeStorage" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">array<wbr/>Decode<wbr/>Storage</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L154">runtime.ts:154</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L154">runtime.ts:154</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="arrayGetItem" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>array<wbr/>Get<wbr/>Item</span><a href="#arrayGetItem" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">array<wbr/>Get<wbr/>Item</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L144">runtime.ts:144</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L144">runtime.ts:144</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="arrayGetSize" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>array<wbr/>Get<wbr/>Size</span><a href="#arrayGetSize" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">array<wbr/>Get<wbr/>Size</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L145">runtime.ts:145</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L145">runtime.ts:145</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="arrayMake" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>array<wbr/>Make</span><a href="#arrayMake" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">array<wbr/>Make</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L146">runtime.ts:146</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L146">runtime.ts:146</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="getFFIString" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>getFFIString</span><a href="#getFFIString" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></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/a7478cc2b/web/src/runtime.ts#L148">runtime.ts:148</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L148">runtime.ts:148</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="getSysLib" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get<wbr/>Sys<wbr/>Lib</span><a href="#getSysLib" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">get<wbr/>Sys<wbr/>Lib</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L149">runtime.ts:149</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L149">runtime.ts:149</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="makeShapeTuple" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>make<wbr/>Shape<wbr/>Tuple</span><a href="#makeShapeTuple" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">make<wbr/>Shape<wbr/>Tuple</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L157">runtime.ts:157</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L157">runtime.ts:157</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="ndarrayCreateView" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>ndarray<wbr/>Create<wbr/>View</span><a href="#ndarrayCreateView" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">ndarray<wbr/>Create<wbr/>View</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L158">runtime.ts:158</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L158">runtime.ts:158</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="paramModuleFromCache" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>param<wbr/>Module<wbr/>From<wbr/>Cache</span><a href="#paramModuleFromCache" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">param<wbr/>Module<wbr/>From<wbr/>Cache</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L155">runtime.ts:155</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/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>
<h3 class="tsd-anchor-link"><span>param<wbr/>Module<wbr/>From<wbr/>Cache<wbr/>By<wbr/>Name</span><a href="#paramModuleFromCacheByName" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">param<wbr/>Module<wbr/>From<wbr/>Cache<wbr/>By<wbr/>Name</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L156">runtime.ts:156</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L156">runtime.ts:156</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="sampleTopPFromLogits" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>sample<wbr/>TopPFrom<wbr/>Logits</span><a href="#sampleTopPFromLogits" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">sample<wbr/>TopPFrom<wbr/>Logits</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L159">runtime.ts:159</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L159">runtime.ts:159</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="stringMake" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>string<wbr/>Make</span><a href="#stringMake" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">string<wbr/>Make</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/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/2c49e01a0/web/src/runtime.ts#L147">runtime.ts:147</a></li></ul></aside></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
<section class="tsd-panel tsd-member"><a id="attachToCurrentScope" class="tsd-anchor"></a>
@@ -216,7 +216,7 @@
The return value of PackedFunc will be automatically tracked.</p>
</div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L234">runtime.ts:234</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L234">runtime.ts:234</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -224,7 +224,7 @@
<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/a7478cc2b/web/src/runtime.ts#L208">runtime.ts:208</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L208">runtime.ts:208</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -242,7 +242,7 @@
<h5><span class="tsd-kind-parameter">obj</span>: <span class="tsd-signature-type tsd-kind-type-parameter">T</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type tsd-kind-type-parameter">T</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L253">runtime.ts:253</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L253">runtime.ts:253</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -256,7 +256,7 @@ only the first call will take effect.</p>
<div class="tsd-comment tsd-typography"></div><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/a7478cc2b/web/src/runtime.ts#L186">runtime.ts:186</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L186">runtime.ts:186</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -264,7 +264,7 @@ 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/a7478cc2b/web/src/runtime.ts#L212">runtime.ts:212</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L212">runtime.ts:212</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -282,7 +282,7 @@ only the first call will take effect.</p>
<h5><span class="tsd-kind-parameter">obj</span>: <span class="tsd-signature-type tsd-kind-type-parameter">T</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type tsd-kind-type-parameter">T</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L243">runtime.ts:243</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L243">runtime.ts:243</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_.TVMString.html b/docs/reference/api/typedoc/classes/_internal_.TVMString.html
index 5c963629f7..49ac1c405d 100644
--- a/docs/reference/api/typedoc/classes/_internal_.TVMString.html
+++ b/docs/reference/api/typedoc/classes/_internal_.TVMString.html
@@ -27,7 +27,7 @@
<ul class="tsd-hierarchy">
<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/a7478cc2b/web/src/runtime.ts#L886">runtime.ts:886</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L886">runtime.ts:886</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">
@@ -64,7 +64,7 @@
<h4 class="tsd-returns-title">Returns <a href="_internal_.TVMString.html" class="tsd-signature-type tsd-kind-class">TVMString</a></h4><aside class="tsd-sources">
<p>Overrides <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#constructor">constructor</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L887">runtime.ts:887</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L887">runtime.ts:887</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>
@@ -80,7 +80,7 @@ only the first call will take effect.</p>
<div class="tsd-comment tsd-typography"></div><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/a7478cc2b/web/src/runtime.ts#L791">runtime.ts:791</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L791">runtime.ts:791</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures tsd-is-inherited">
@@ -101,7 +101,7 @@ only the first call will take effect.</p>
<div class="tsd-comment tsd-typography"></div><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/a7478cc2b/web/src/runtime.ts#L806">runtime.ts:806</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L806">runtime.ts:806</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -111,7 +111,7 @@ only the first call will take effect.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L898">runtime.ts:898</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L898">runtime.ts:898</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures tsd-is-inherited">
@@ -123,7 +123,7 @@ only the first call will take effect.</p>
<div class="tsd-comment tsd-typography"></div><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/a7478cc2b/web/src/runtime.ts#L814">runtime.ts:814</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L814">runtime.ts:814</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures tsd-is-inherited">
@@ -135,7 +135,7 @@ only the first call will take effect.</p>
<div class="tsd-comment tsd-typography"></div><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/a7478cc2b/web/src/runtime.ts#L834">runtime.ts:834</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L834">runtime.ts:834</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_.WebGPUContext.html b/docs/reference/api/typedoc/classes/_internal_.WebGPUContext.html
index 2550065311..c6a98e97ee 100644
--- a/docs/reference/api/typedoc/classes/_internal_.WebGPUContext.html
+++ b/docs/reference/api/typedoc/classes/_internal_.WebGPUContext.html
@@ -26,7 +26,7 @@ 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/a7478cc2b/web/src/webgpu.ts#L335">webgpu.ts:335</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/webgpu.ts#L335">webgpu.ts:335</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
<section class="tsd-panel tsd-index-panel">
<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -70,19 +70,19 @@ Manages all the webgpu resources here.</p>
<h5><span class="tsd-kind-parameter">device</span>: <span class="tsd-signature-type ">GPUDevice</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <a href="_internal_.WebGPUContext.html" class="tsd-signature-type tsd-kind-class">WebGPUContext</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/webgpu.ts#L360">webgpu.ts:360</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/webgpu.ts#L360">webgpu.ts:360</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Properties</h2>
<section class="tsd-panel tsd-member"><a id="device" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>device</span><a href="#device" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">device</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type ">GPUDevice</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/webgpu.ts#L336">webgpu.ts:336</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/webgpu.ts#L336">webgpu.ts:336</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 viewBox="0 0 24 24"><use href="#icon-anchor"></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/a7478cc2b/web/src/webgpu.ts#L337">webgpu.ts:337</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/webgpu.ts#L337">webgpu.ts:337</a></li></ul></aside></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
<section class="tsd-panel tsd-member"><a id="bindCanvas" class="tsd-anchor"></a>
@@ -103,7 +103,7 @@ Manages all the webgpu resources here.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/webgpu.ts#L444">webgpu.ts:444</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/webgpu.ts#L444">webgpu.ts:444</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -114,7 +114,7 @@ Manages all the webgpu resources here.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/webgpu.ts#L436">webgpu.ts:436</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/webgpu.ts#L436">webgpu.ts:436</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -148,7 +148,7 @@ Manages all the webgpu resources here.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/webgpu.ts#L418">webgpu.ts:418</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/webgpu.ts#L418">webgpu.ts:418</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -171,7 +171,7 @@ via createComputePipeline</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/webgpu.ts#L456">webgpu.ts:456</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/webgpu.ts#L456">webgpu.ts:456</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -194,7 +194,7 @@ via createComputePipelineAsync</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/webgpu.ts#L468">webgpu.ts:468</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/webgpu.ts#L468">webgpu.ts:468</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -205,7 +205,7 @@ via createComputePipelineAsync</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/webgpu.ts#L368">webgpu.ts:368</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/webgpu.ts#L368">webgpu.ts:368</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -234,7 +234,7 @@ via createComputePipelineAsync</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/webgpu.ts#L403">webgpu.ts:403</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/webgpu.ts#L403">webgpu.ts:403</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -251,7 +251,7 @@ via createComputePipelineAsync</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/webgpu.ts#L724">webgpu.ts:724</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/webgpu.ts#L724">webgpu.ts:724</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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -262,7 +262,7 @@ via createComputePipelineAsync</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">string</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/webgpu.ts#L390">webgpu.ts:390</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/webgpu.ts#L390">webgpu.ts:390</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="sync" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>sync</span><a href="#sync" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -273,7 +273,7 @@ via createComputePipelineAsync</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol"><</span><span class="tsd-signature-type">void</span><span class="tsd-signature-symbol">></span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/webgpu.ts#L383">webgpu.ts:383</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/webgpu.ts#L383">webgpu.ts:383</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/enums/_internal_.RPCServerState.html b/docs/reference/api/typedoc/enums/_internal_.RPCServerState.html
index b4a25b1832..5de0b4acde 100644
--- a/docs/reference/api/typedoc/enums/_internal_.RPCServerState.html
+++ b/docs/reference/api/typedoc/enums/_internal_.RPCServerState.html
@@ -17,7 +17,7 @@
<li><a href="_internal_.RPCServerState.html">RPCServerState</a></li></ul>
<h1>Enumeration RPCServerState</h1></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/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/2c49e01a0/web/src/rpc_server.ts#L27">rpc_server.ts:27</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">
@@ -38,32 +38,32 @@
<h3 class="tsd-anchor-link"><span>Init<wbr/>Header</span><a href="#InitHeader" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><g stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round" id="icon-anchor"><path stroke="none" d="M0 0h24v24H0z" fill="none"></path><path d="M10 14a3.5 3.5 0 0 0 5 0l4 -4a3.5 3.5 0 0 0 -5 -5l-.5 .5"></path><path d="M14 10a3.5 3.5 0 0 0 -5 0l-4 4a3.5 3.5 0 0 0 5 5l.5 -.5"></path></g></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-enum-member">Init<wbr/>Header</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">0</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/rpc_server.ts#L28">rpc_server.ts:28</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/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>
<h3 class="tsd-anchor-link"><span>Init<wbr/>Header<wbr/>Key</span><a href="#InitHeaderKey" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-enum-member">Init<wbr/>Header<wbr/>Key</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">1</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/rpc_server.ts#L29">rpc_server.ts:29</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/rpc_server.ts#L29">rpc_server.ts:29</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="InitServer" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>Init<wbr/>Server</span><a href="#InitServer" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-enum-member">Init<wbr/>Server</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">2</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/rpc_server.ts#L30">rpc_server.ts:30</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/rpc_server.ts#L30">rpc_server.ts:30</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="ReceivePacketBody" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>Receive<wbr/>Packet<wbr/>Body</span><a href="#ReceivePacketBody" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-enum-member">Receive<wbr/>Packet<wbr/>Body</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">5</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/rpc_server.ts#L33">rpc_server.ts:33</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/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>
<h3 class="tsd-anchor-link"><span>Receive<wbr/>Packet<wbr/>Header</span><a href="#ReceivePacketHeader" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-enum-member">Receive<wbr/>Packet<wbr/>Header</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">4</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/rpc_server.ts#L32">rpc_server.ts:32</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/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>
<h3 class="tsd-anchor-link"><span>Wait<wbr/>For<wbr/>Callback</span><a href="#WaitForCallback" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-enum-member">Wait<wbr/>For<wbr/>Callback</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">3</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/rpc_server.ts#L31">rpc_server.ts:31</a></li></ul></aside></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/rpc_server.ts#L31">rpc_server.ts:31</a></li></ul></aside></section></section></div>
<div class="col-sidebar">
<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/functions/assert.html b/docs/reference/api/typedoc/functions/assert.html
index 61a2283b79..ca1f74772e 100644
--- a/docs/reference/api/typedoc/functions/assert.html
+++ b/docs/reference/api/typedoc/functions/assert.html
@@ -37,7 +37,7 @@
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-symbol">asserts </span><span class="tsd-kind-parameter">condition</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/support.ts#L52">support.ts:52</a></li></ul></aside></li></ul></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/support.ts#L52">support.ts:52</a></li></ul></aside></li></ul></section></div>
<div class="col-sidebar">
<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/functions/createPolyfillWASI.html b/docs/reference/api/typedoc/functions/createPolyfillWASI.html
index bcf8278e34..4267f53efa 100644
--- a/docs/reference/api/typedoc/functions/createPolyfillWASI.html
+++ b/docs/reference/api/typedoc/functions/createPolyfillWASI.html
@@ -25,7 +25,7 @@
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/compact.ts#L55">compact.ts:55</a></li></ul></aside></li></ul></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/compact.ts#L55">compact.ts:55</a></li></ul></aside></li></ul></section></div>
<div class="col-sidebar">
<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/functions/detectGPUDevice.html b/docs/reference/api/typedoc/functions/detectGPUDevice.html
index a620116000..6e98b115e8 100644
--- a/docs/reference/api/typedoc/functions/detectGPUDevice.html
+++ b/docs/reference/api/typedoc/functions/detectGPUDevice.html
@@ -24,7 +24,7 @@
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol"><</span><a href="../interfaces/GPUDeviceDetectOutput.html" class="tsd-signature-type tsd-kind-interface">GPUDeviceDetectOutput</a><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">undefined</span><span class="tsd-signature-symbol">></span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/webgpu.ts#L36">webgpu.ts:36</a></li></ul></aside></li></ul></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/webgpu.ts#L36">webgpu.ts:36</a></li></ul></aside></li></ul></section></div>
<div class="col-sidebar">
<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/functions/hasNDArrayInCache.html b/docs/reference/api/typedoc/functions/hasNDArrayInCache.html
index 7175c806b1..cc33e1b3b1 100644
--- a/docs/reference/api/typedoc/functions/hasNDArrayInCache.html
+++ b/docs/reference/api/typedoc/functions/hasNDArrayInCache.html
@@ -28,7 +28,7 @@
<h5><span class="tsd-kind-parameter">cacheScope</span>: <span class="tsd-signature-type">string</span><span class="tsd-signature-symbol"> = "tvmjs"</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol"><</span><span class="tsd-signature-type">boolean</span><span class="tsd-signature-symbol">></span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L2417">runtime.ts:2417</a></li></ul></aside></li></ul></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L2417">runtime.ts:2417</a></li></ul></aside></li></ul></section></div>
<div class="col-sidebar">
<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/functions/instantiate.html b/docs/reference/api/typedoc/functions/instantiate.html
index 34670bbc16..8885569ff1 100644
--- a/docs/reference/api/typedoc/functions/instantiate.html
+++ b/docs/reference/api/typedoc/functions/instantiate.html
@@ -57,7 +57,7 @@ by passing its generated js Module as the imports.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol"><</span><a href="../classes/Instance.html" class="tsd-signature-type tsd-kind-class">Instance</a><span class="tsd-signature-symbol">></span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L2403">runtime.ts:2403</a></li></ul></aside></li></ul></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L2403">runtime.ts:2403</a></li></ul></aside></li></ul></section></div>
<div class="col-sidebar">
<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/functions/wasmPath.html b/docs/reference/api/typedoc/functions/wasmPath.html
index 7f753f2814..6883da35ab 100644
--- a/docs/reference/api/typedoc/functions/wasmPath.html
+++ b/docs/reference/api/typedoc/functions/wasmPath.html
@@ -25,7 +25,7 @@
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/support.ts#L62">support.ts:62</a></li></ul></aside></li></ul></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/support.ts#L62">support.ts:62</a></li></ul></aside></li></ul></section></div>
<div class="col-sidebar">
<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/interfaces/Disposable.html b/docs/reference/api/typedoc/interfaces/Disposable.html
index 4a4cc4031a..7be93f316d 100644
--- a/docs/reference/api/typedoc/interfaces/Disposable.html
+++ b/docs/reference/api/typedoc/interfaces/Disposable.html
@@ -38,7 +38,7 @@ which needs to be explicitly disposed.</p>
<li><a href="../classes/TVMObject.html" class="tsd-signature-type tsd-kind-class">TVMObject</a></li>
<li><a href="../classes/VirtualMachine.html" class="tsd-signature-type tsd-kind-class">VirtualMachine</a></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/types.ts#L46">types.ts:46</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/types.ts#L46">types.ts:46</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">
@@ -67,7 +67,7 @@ only the first call will take effect.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4>
<div class="tsd-comment tsd-typography"></div></li></ul></li></ul></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/types.ts#L52">types.ts:52</a></li></ul></aside></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/types.ts#L52">types.ts:52</a></li></ul></aside></section></section></div>
<div class="col-sidebar">
<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/interfaces/GPUDeviceDetectOutput.html b/docs/reference/api/typedoc/interfaces/GPUDeviceDetectOutput.html
index 53eebe771c..12f4b74cf8 100644
--- a/docs/reference/api/typedoc/interfaces/GPUDeviceDetectOutput.html
+++ b/docs/reference/api/typedoc/interfaces/GPUDeviceDetectOutput.html
@@ -20,7 +20,7 @@
<ul class="tsd-hierarchy">
<li><span class="target">GPUDeviceDetectOutput</span></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/webgpu.ts#L27">webgpu.ts:27</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/webgpu.ts#L27">webgpu.ts:27</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">
@@ -38,17 +38,17 @@
<h3 class="tsd-anchor-link"><span>adapter</span><a href="#adapter" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><g stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round" id="icon-anchor"><path stroke="none" d="M0 0h24v24H0z" fill="none"></path><path d="M10 14a3.5 3.5 0 0 0 5 0l4 -4a3.5 3.5 0 0 0 -5 -5l-.5 .5"></path><path d="M14 10a3.5 3.5 0 0 0 -5 0l-4 4a3.5 3.5 0 0 0 5 5l.5 -.5"></path></g></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">adapter</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type ">GPUAdapter</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/webgpu.ts#L28">webgpu.ts:28</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/webgpu.ts#L28">webgpu.ts:28</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="adapterInfo" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>adapter<wbr/>Info</span><a href="#adapterInfo" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">adapter<wbr/>Info</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type ">GPUAdapterInfo</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/webgpu.ts#L29">webgpu.ts:29</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/webgpu.ts#L29">webgpu.ts:29</a></li></ul></aside></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 viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">device</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type ">GPUDevice</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/webgpu.ts#L30">webgpu.ts:30</a></li></ul></aside></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/webgpu.ts#L30">webgpu.ts:30</a></li></ul></aside></section></section></div>
<div class="col-sidebar">
<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/interfaces/InitProgressReport.html b/docs/reference/api/typedoc/interfaces/InitProgressReport.html
index 4c46f79b16..0f0a50e580 100644
--- a/docs/reference/api/typedoc/interfaces/InitProgressReport.html
+++ b/docs/reference/api/typedoc/interfaces/InitProgressReport.html
@@ -20,7 +20,7 @@
<ul class="tsd-hierarchy">
<li><span class="target">InitProgressReport</span></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L976">runtime.ts:976</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L976">runtime.ts:976</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">
@@ -39,22 +39,22 @@
<h3 class="tsd-anchor-link"><span>cache<wbr/>Only</span><a href="#cacheOnly" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><g stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round" id="icon-anchor"><path stroke="none" d="M0 0h24v24H0z" fill="none"></path><path d="M10 14a3.5 3.5 0 0 0 5 0l4 -4a3.5 3.5 0 0 0 -5 -5l-.5 .5"></path><path d="M14 10a3.5 3.5 0 0 0 -5 0l-4 4a3.5 3.5 0 0 0 5 5l.5 -.5"></path></g></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">cache<wbr/>Only</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">boolean</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L979">runtime.ts:979</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L979">runtime.ts:979</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="progress" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>progress</span><a href="#progress" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">progress</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L977">runtime.ts:977</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L977">runtime.ts:977</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="text" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>text</span><a href="#text" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">text</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">string</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L980">runtime.ts:980</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L980">runtime.ts:980</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="timeElapsed" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>time<wbr/>Elapsed</span><a href="#timeElapsed" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">time<wbr/>Elapsed</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L978">runtime.ts:978</a></li></ul></aside></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L978">runtime.ts:978</a></li></ul></aside></section></section></div>
<div class="col-sidebar">
<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/interfaces/LibraryProvider.html b/docs/reference/api/typedoc/interfaces/LibraryProvider.html
index 28c9a68304..00b0669773 100644
--- a/docs/reference/api/typedoc/interfaces/LibraryProvider.html
+++ b/docs/reference/api/typedoc/interfaces/LibraryProvider.html
@@ -33,7 +33,7 @@ to allow the library provider to initialize related resources during startup tim
<ul class="tsd-hierarchy">
<li><a href="../classes/_internal_.Environment.html" class="tsd-signature-type tsd-kind-class">Environment</a></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/types.ts#L32">types.ts:32</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/types.ts#L32">types.ts:32</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">
@@ -53,7 +53,7 @@ to allow the library provider to initialize related resources during startup tim
</div>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/types.ts#L34">types.ts:34</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/types.ts#L34">types.ts:34</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="start" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>start</span><a href="#start" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">start</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">(</span><span class="tsd-signature-symbol">(</span><span class="tsd-kind-parameter">inst</span><span class="tsd-signature-symbol">)</span><span class="tsd-signature-symbol"> => </span><span class="tsd-signature-type">void</span><span class="tsd-signature-symbol">)</span></div>
@@ -77,7 +77,7 @@ to allow the library provider to initialize related resources during startup tim
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4>
<div class="tsd-comment tsd-typography"></div></li></ul></li></ul></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/types.ts#L39">types.ts:39</a></li></ul></aside></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/types.ts#L39">types.ts:39</a></li></ul></aside></section></section></div>
<div class="col-sidebar">
<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/interfaces/_internal_.FunctionInfo.html b/docs/reference/api/typedoc/interfaces/_internal_.FunctionInfo.html
index 770fac0790..09ec008107 100644
--- a/docs/reference/api/typedoc/interfaces/_internal_.FunctionInfo.html
+++ b/docs/reference/api/typedoc/interfaces/_internal_.FunctionInfo.html
@@ -25,7 +25,7 @@
<ul class="tsd-hierarchy">
<li><span class="target">FunctionInfo</span></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/webgpu.ts#L325">webgpu.ts:325</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/webgpu.ts#L325">webgpu.ts:325</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">
@@ -43,17 +43,17 @@
<h3 class="tsd-anchor-link"><span>arg_<wbr/>types</span><a href="#arg_types" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><g stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round" id="icon-anchor"><path stroke="none" d="M0 0h24v24H0z" fill="none"></path><path d="M10 14a3.5 3.5 0 0 0 5 0l4 -4a3.5 3.5 0 0 0 -5 -5l-.5 .5"></path><path d="M14 10a3.5 3.5 0 0 0 -5 0l-4 4a3.5 3.5 0 0 0 5 5l.5 -.5"></path></g></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">arg_<wbr/>types</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">[]</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/webgpu.ts#L327">webgpu.ts:327</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/webgpu.ts#L327">webgpu.ts:327</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="launch_param_tags" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>launch_<wbr/>param_<wbr/>tags</span><a href="#launch_param_tags" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">launch_<wbr/>param_<wbr/>tags</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">[]</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/webgpu.ts#L328">webgpu.ts:328</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/webgpu.ts#L328">webgpu.ts:328</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="name" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>name</span><a href="#name" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">name</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">string</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/webgpu.ts#L326">webgpu.ts:326</a></li></ul></aside></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/webgpu.ts#L326">webgpu.ts:326</a></li></ul></aside></section></section></div>
<div class="col-sidebar">
<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/interfaces/_internal_.NDArrayCacheEntry.html b/docs/reference/api/typedoc/interfaces/_internal_.NDArrayCacheEntry.html
index 2bbe4c8b22..de6ec89d76 100644
--- a/docs/reference/api/typedoc/interfaces/_internal_.NDArrayCacheEntry.html
+++ b/docs/reference/api/typedoc/interfaces/_internal_.NDArrayCacheEntry.html
@@ -21,7 +21,7 @@
<ul class="tsd-hierarchy">
<li><span class="target">NDArrayCacheEntry</span></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L960">runtime.ts:960</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L960">runtime.ts:960</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">
@@ -42,32 +42,32 @@
<h3 class="tsd-anchor-link"><span>byte<wbr/>Offset</span><a href="#byteOffset" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><g stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round" id="icon-anchor"><path stroke="none" d="M0 0h24v24H0z" fill="none"></path><path d="M10 14a3.5 3.5 0 0 0 5 0l4 -4a3.5 3.5 0 0 0 -5 -5l-.5 .5"></path><path d="M14 10a3.5 3.5 0 0 0 -5 0l-4 4a3.5 3.5 0 0 0 5 5l.5 -.5"></path></g></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">byte<wbr/>Offset</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L965">runtime.ts:965</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L965">runtime.ts:965</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="dtype" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>dtype</span><a href="#dtype" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<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><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L963">runtime.ts:963</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L963">runtime.ts:963</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="format" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>format</span><a href="#format" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">format</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">"f32-to-bf16"</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">"raw"</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L964">runtime.ts:964</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L964">runtime.ts:964</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="name" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>name</span><a href="#name" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">name</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">string</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L961">runtime.ts:961</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L961">runtime.ts:961</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="nbytes" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>nbytes</span><a href="#nbytes" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">nbytes</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L966">runtime.ts:966</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L966">runtime.ts:966</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="shape" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>shape</span><a href="#shape" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">shape</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">[]</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L962">runtime.ts:962</a></li></ul></aside></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L962">runtime.ts:962</a></li></ul></aside></section></section></div>
<div class="col-sidebar">
<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/interfaces/_internal_.NDArrayShardEntry.html b/docs/reference/api/typedoc/interfaces/_internal_.NDArrayShardEntry.html
index 6f83297013..309f96506a 100644
--- a/docs/reference/api/typedoc/interfaces/_internal_.NDArrayShardEntry.html
+++ b/docs/reference/api/typedoc/interfaces/_internal_.NDArrayShardEntry.html
@@ -21,7 +21,7 @@
<ul class="tsd-hierarchy">
<li><span class="target">NDArrayShardEntry</span></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L969">runtime.ts:969</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L969">runtime.ts:969</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">
@@ -40,22 +40,22 @@
<h3 class="tsd-anchor-link"><span>data<wbr/>Path</span><a href="#dataPath" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><g stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round" id="icon-anchor"><path stroke="none" d="M0 0h24v24H0z" fill="none"></path><path d="M10 14a3.5 3.5 0 0 0 5 0l4 -4a3.5 3.5 0 0 0 -5 -5l-.5 .5"></path><path d="M14 10a3.5 3.5 0 0 0 -5 0l-4 4a3.5 3.5 0 0 0 5 5l.5 -.5"></path></g></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">data<wbr/>Path</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">string</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L970">runtime.ts:970</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L970">runtime.ts:970</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="format" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>format</span><a href="#format" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">format</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">"raw-shard"</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L971">runtime.ts:971</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L971">runtime.ts:971</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="nbytes" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>nbytes</span><a href="#nbytes" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">nbytes</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L972">runtime.ts:972</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L972">runtime.ts:972</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="records" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>records</span><a href="#records" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">records</span><span class="tsd-signature-symbol">:</span> <a href="_internal_.NDArrayCacheEntry.html" class="tsd-signature-type tsd-kind-interface">NDArrayCacheEntry</a><span class="tsd-signature-symbol">[]</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L973">runtime.ts:973</a></li></ul></aside></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L973">runtime.ts:973</a></li></ul></aside></section></section></div>
<div class="col-sidebar">
<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/types/InitProgressCallback.html b/docs/reference/api/typedoc/types/InitProgressCallback.html
index 0294637589..03e830f240 100644
--- a/docs/reference/api/typedoc/types/InitProgressCallback.html
+++ b/docs/reference/api/typedoc/types/InitProgressCallback.html
@@ -30,7 +30,7 @@
<h5><span class="tsd-kind-parameter">report</span>: <a href="../interfaces/InitProgressReport.html" class="tsd-signature-type tsd-kind-interface">InitProgressReport</a></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/a7478cc2b/web/src/runtime.ts#L983">runtime.ts:983</a></li></ul></aside></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L983">runtime.ts:983</a></li></ul></aside></div>
<div class="col-sidebar">
<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/types/PackedFunc.html b/docs/reference/api/typedoc/types/PackedFunc.html
index 27ea45aef4..ef42b18d32 100644
--- a/docs/reference/api/typedoc/types/PackedFunc.html
+++ b/docs/reference/api/typedoc/types/PackedFunc.html
@@ -38,7 +38,7 @@
<h5><span class="tsd-kind-property">_tvm<wbr/>Packed<wbr/>Cell</span><span class="tsd-signature-symbol">: </span><a href="../classes/_internal_.PackedFuncCell.html" class="tsd-signature-type tsd-kind-class">PackedFuncCell</a></h5></li></ul></div>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L36">runtime.ts:36</a></li></ul></aside></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L36">runtime.ts:36</a></li></ul></aside></div>
<div class="col-sidebar">
<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/types/_internal_.FObjectConstructor.html b/docs/reference/api/typedoc/types/_internal_.FObjectConstructor.html
index 3e83ea763c..49a5b65048 100644
--- a/docs/reference/api/typedoc/types/_internal_.FObjectConstructor.html
+++ b/docs/reference/api/typedoc/types/_internal_.FObjectConstructor.html
@@ -38,7 +38,7 @@
<h4 class="tsd-returns-title">Returns <a href="../classes/TVMObject.html" class="tsd-signature-type tsd-kind-class">TVMObject</a></h4>
<div class="tsd-comment tsd-typography"></div></li></ul></li></ul></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L854">runtime.ts:854</a></li></ul></aside></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L854">runtime.ts:854</a></li></ul></aside></div>
<div class="col-sidebar">
<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/types/_internal_.FTVMWasmAllocSpace.html b/docs/reference/api/typedoc/types/_internal_.FTVMWasmAllocSpace.html
index 1741627dc1..36bad42aea 100644
--- a/docs/reference/api/typedoc/types/_internal_.FTVMWasmAllocSpace.html
+++ b/docs/reference/api/typedoc/types/_internal_.FTVMWasmAllocSpace.html
@@ -34,7 +34,7 @@
<h4 class="tsd-returns-title">Returns <a href="_internal_.Pointer.html" class="tsd-signature-type tsd-kind-type-alias">Pointer</a></h4>
<div class="tsd-comment tsd-typography"></div></li></ul></li></ul></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/ctypes.ts#L194">ctypes.ts:194</a></li></ul></aside></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/ctypes.ts#L194">ctypes.ts:194</a></li></ul></aside></div>
<div class="col-sidebar">
<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/types/_internal_.FTVMWasmFreeSpace.html b/docs/reference/api/typedoc/types/_internal_.FTVMWasmFreeSpace.html
index 719fa0e383..bf73ebd7b5 100644
--- a/docs/reference/api/typedoc/types/_internal_.FTVMWasmFreeSpace.html
+++ b/docs/reference/api/typedoc/types/_internal_.FTVMWasmFreeSpace.html
@@ -34,7 +34,7 @@
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4>
<div class="tsd-comment tsd-typography"></div></li></ul></li></ul></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/ctypes.ts#L197">ctypes.ts:197</a></li></ul></aside></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/ctypes.ts#L197">ctypes.ts:197</a></li></ul></aside></div>
<div class="col-sidebar">
<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/types/_internal_.FTVMWasmPackedCFunc.html b/docs/reference/api/typedoc/types/_internal_.FTVMWasmPackedCFunc.html
index d014e378a9..fc4dbf769c 100644
--- a/docs/reference/api/typedoc/types/_internal_.FTVMWasmPackedCFunc.html
+++ b/docs/reference/api/typedoc/types/_internal_.FTVMWasmPackedCFunc.html
@@ -46,7 +46,7 @@
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4>
<div class="tsd-comment tsd-typography"></div></li></ul></li></ul></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/ctypes.ts#L206">ctypes.ts:206</a></li></ul></aside></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/ctypes.ts#L206">ctypes.ts:206</a></li></ul></aside></div>
<div class="col-sidebar">
<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/types/_internal_.Pointer.html b/docs/reference/api/typedoc/types/_internal_.Pointer.html
index 2c96066521..7b493da6fe 100644
--- a/docs/reference/api/typedoc/types/_internal_.Pointer.html
+++ b/docs/reference/api/typedoc/types/_internal_.Pointer.html
@@ -21,7 +21,7 @@
</div>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/ctypes.ts#L25">ctypes.ts:25</a></li></ul></aside></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/ctypes.ts#L25">ctypes.ts:25</a></li></ul></aside></div>
<div class="col-sidebar">
<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/types/_internal_.TVMObjectBase.html b/docs/reference/api/typedoc/types/_internal_.TVMObjectBase.html
index 79c4fec52a..e1063d908d 100644
--- a/docs/reference/api/typedoc/types/_internal_.TVMObjectBase.html
+++ b/docs/reference/api/typedoc/types/_internal_.TVMObjectBase.html
@@ -21,7 +21,7 @@
</div>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/a7478cc2b/web/src/runtime.ts#L857">runtime.ts:857</a></li></ul></aside></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/2c49e01a0/web/src/runtime.ts#L857">runtime.ts:857</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 84651d77db..e966721862 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/autotvm/sg_execution_times.html b/docs/topic/vta/tutorials/autotvm/sg_execution_times.html
index c51b400d7a..70b48808ac 100644
--- a/docs/topic/vta/tutorials/autotvm/sg_execution_times.html
+++ b/docs/topic/vta/tutorials/autotvm/sg_execution_times.html
@@ -360,7 +360,7 @@
<div class="section" id="computation-times">
<span id="sphx-glr-topic-vta-tutorials-autotvm-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>00:36.079</strong> total execution time for <strong>topic_vta_tutorials_autotvm</strong> files:</p>
+<p><strong>00:35.069</strong> total execution time for <strong>topic_vta_tutorials_autotvm</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 82%" />
@@ -369,11 +369,11 @@
</colgroup>
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="tune_relay_vta.html#sphx-glr-topic-vta-tutorials-autotvm-tune-relay-vta-py"><span class="std std-ref">Auto-tuning a convolutional network on VTA</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_relay_vta.py</span></code>)</p></td>
-<td><p>00:36.072</p></td>
+<td><p>00:35.061</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="tune_alu_vta.html#sphx-glr-topic-vta-tutorials-autotvm-tune-alu-vta-py"><span class="std std-ref">Auto-tuning a ALU fused op on VTA</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_alu_vta.py</span></code>)</p></td>
-<td><p>00:00.008</p></td>
+<td><p>00:00.007</p></td>
<td><p>0.0 MB</p></td>
</tr>
</tbody>
diff --git a/docs/topic/vta/tutorials/frontend/deploy_classification.html b/docs/topic/vta/tutorials/frontend/deploy_classification.html
index ab6e6a55b9..e593496214 100644
--- a/docs/topic/vta/tutorials/frontend/deploy_classification.html
+++ b/docs/topic/vta/tutorials/frontend/deploy_classification.html
@@ -603,7 +603,7 @@ and dense layer which will both be executed in fp32 on the CPU.</p></li>
warnings.warn(
/workspace/vta/tutorials/frontend/deploy_classification.py:212: DeprecationWarning: legacy graph executor behavior of producing json / lib / params will be removed in the next release. Please see documents of tvm.contrib.graph_executor.GraphModule for the new recommended usage.
graph, lib, params = relay.build(
-resnet18_v1 inference graph built in 38.48s!
+resnet18_v1 inference graph built in 39.61s!
</pre></div>
</div>
</div>
diff --git a/docs/topic/vta/tutorials/frontend/deploy_detection.html b/docs/topic/vta/tutorials/frontend/deploy_detection.html
index f2263df7ae..9ea1a2ec43 100644
--- a/docs/topic/vta/tutorials/frontend/deploy_detection.html
+++ b/docs/topic/vta/tutorials/frontend/deploy_detection.html
@@ -621,7 +621,7 @@ and dense layer which will both be executed in fp32 on the CPU.</p></li>
</div>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/workspace/python/tvm/relay/build_module.py:345: DeprecationWarning: Please use input parameter mod (tvm.IRModule) instead of deprecated parameter mod (tvm.relay.function.Function)
warnings.warn(
-yolov3-tiny inference graph built in 26.14s!
+yolov3-tiny inference graph built in 24.25s!
</pre></div>
</div>
</div>
diff --git a/docs/topic/vta/tutorials/frontend/sg_execution_times.html b/docs/topic/vta/tutorials/frontend/sg_execution_times.html
index cc7ced5999..8055abf12d 100644
--- a/docs/topic/vta/tutorials/frontend/sg_execution_times.html
+++ b/docs/topic/vta/tutorials/frontend/sg_execution_times.html
@@ -360,7 +360,7 @@
<div class="section" id="computation-times">
<span id="sphx-glr-topic-vta-tutorials-frontend-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>01:59.160</strong> total execution time for <strong>topic_vta_tutorials_frontend</strong> files:</p>
+<p><strong>01:56.353</strong> total execution time for <strong>topic_vta_tutorials_frontend</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 84%" />
@@ -368,12 +368,12 @@
<col style="width: 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>00:59.682</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="deploy_classification.html#sphx-glr-topic-vta-tutorials-frontend-deploy-classification-py"><span class="std std-ref">Deploy Pretrained Vision Model from MxNet on VTA</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_classification.py</span></code>)</p></td>
+<td><p>00:59.825</p></td>
<td><p>0.0 MB</p></td>
</tr>
-<tr class="row-even"><td><p><a class="reference internal" href="deploy_classification.html#sphx-glr-topic-vta-tutorials-frontend-deploy-classification-py"><span class="std std-ref">Deploy Pretrained Vision Model from MxNet on VTA</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_classification.py</span></code>)</p></td>
-<td><p>00:59.477</p></td>
+<tr class="row-even"><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>00:56.529</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 d6b31ce208..709036b741 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>00:03.350</strong> total execution time for <strong>topic_vta_tutorials_optimize</strong> files:</p>
+<p><strong>00:03.187</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>00:02.844</p></td>
+<td><p>00:02.712</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>00:00.506</p></td>
+<td><p>00:00.474</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 b33ba40128..5a373a24eb 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>00:00.833</strong> total execution time for <strong>topic_vta_tutorials</strong> files:</p>
+<p><strong>00:00.806</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>00:00.429</p></td>
+<td><p>00:00.419</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>00:00.404</p></td>
+<td><p>00:00.387</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 210f6fc3cc..13393077f6 100644
--- a/docs/tutorial/auto_scheduler_matmul_x86.html
+++ b/docs/tutorial/auto_scheduler_matmul_x86.html
@@ -589,7 +589,7 @@ class Module:
<span class="p">)</span>
</pre></div>
</div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Execution time of this operator: 92.299 ms
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Execution time of this operator: 91.337 ms
</pre></div>
</div>
</div>
@@ -651,7 +651,6 @@ resume the status and do more 5 trials.</p>
</pre></div>
</div>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Resume search:
-*E*E*E
</pre></div>
</div>
</div>
@@ -662,7 +661,7 @@ automatically optimize a matrix multiplication, without the need to specify a
search template. It ends a series of examples that starts from the Tensor
Expression (TE) language that demonstrates how TVM can optimize computational
operations.</p>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes 3.258 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 32.260 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 d60b7ee89d..ac26c560b1 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: 10.58/10.58 result: MeasureResult(costs=(0.0253827596,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6824214458465576, timestamp=1706058127.587138) [('tile_y', [-1, 2]), ('tile_x', [-1, 16])],None,41
-No: 2 GFLOPS: 15.31/15.31 result: MeasureResult(costs=(0.0175351962,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.5581717491149902, timestamp=1706058128.131953) [('tile_y', [-1, 16]), ('tile_x', [-1, 128])],None,74
-No: 3 GFLOPS: 8.12/15.31 result: MeasureResult(costs=(0.0330442834,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7833666801452637, timestamp=1706058128.9169834) [('tile_y', [-1, 2]), ('tile_x', [-1, 8])],None,31
-No: 4 GFLOPS: 2.10/15.31 result: MeasureResult(costs=(0.1277370618,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.328038215637207, timestamp=1706058131.2344794) [('tile_y', [-1, 128]), ('tile_x', [-1, 4])],None,27
-No: 5 GFLOPS: 9.15/15.31 result: MeasureResult(costs=(0.0293452378,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7915079593658447, timestamp=1706058132.1371768) [('tile_y', [-1, 512]), ('tile_x', [-1, 128])],None,79
-No: 6 GFLOPS: 0.46/15.31 result: MeasureResult(costs=(0.5858177576,), error_no=MeasureErrorNo.NO_ERROR, all_cost=9.624616384506226, timestamp=1706058141.7742934) [('tile_y', [-1, 512]), ('tile_x', [-1, 1])],None,9
-No: 7 GFLOPS: 11.95/15.31 result: MeasureResult(costs=(0.022454122200000003,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6183779239654541, timestamp=1706058142.3996902) [('tile_y', [-1, 2]), ('tile_x', [-1, 256])],None,81
-No: 8 GFLOPS: 11.39/15.31 result: MeasureResult(costs=(0.0235755302,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6875507831573486, timestamp=1706058143.0416315) [('tile_y', [-1, 4]), ('tile_x', [-1, 128])],None,72
-No: 9 GFLOPS: 13.32/15.31 result: MeasureResult(costs=(0.0201566798,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.5666825771331787, timestamp=1706058143.7179673) [('tile_y', [-1, 8]), ('tile_x', [-1, 256])],None,83
-No: 10 GFLOPS: 1.44/15.31 result: MeasureResult(costs=(0.1865955892,), error_no=MeasureErrorNo.NO_ERROR, all_cost=3.2103676795959473, timestamp=1706058146.9779055) [('tile_y', [-1, 1]), ('tile_x', [-1, 1])],None,0
+No: 1 GFLOPS: 2.01/2.01 result: MeasureResult(costs=(0.13325683819999998,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.385737419128418, timestamp=1706073963.0827827) [('tile_y', [-1, 512]), ('tile_x', [-1, 4])],None,29
+No: 2 GFLOPS: 2.10/2.10 result: MeasureResult(costs=(0.12770792520000002,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.313469648361206, timestamp=1706073965.3761868) [('tile_y', [-1, 128]), ('tile_x', [-1, 4])],None,27
+No: 3 GFLOPS: 2.09/2.10 result: MeasureResult(costs=(0.12869398920000003,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.3024470806121826, timestamp=1706073967.6844275) [('tile_y', [-1, 64]), ('tile_x', [-1, 4])],None,26
+No: 4 GFLOPS: 10.79/10.79 result: MeasureResult(costs=(0.0248675244,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6688547134399414, timestamp=1706073968.3328793) [('tile_y', [-1, 8]), ('tile_x', [-1, 32])],None,53
+No: 5 GFLOPS: 7.67/10.79 result: MeasureResult(costs=(0.034998797799999995,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.8425083160400391, timestamp=1706073969.2930872) [('tile_y', [-1, 32]), ('tile_x', [-1, 16])],None,45
+No: 6 GFLOPS: 2.43/10.79 result: MeasureResult(costs=(0.11058559720000001,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.9967355728149414, timestamp=1706073971.3042562) [('tile_y', [-1, 1]), ('tile_x', [-1, 2])],None,10
+No: 7 GFLOPS: 3.88/10.79 result: MeasureResult(costs=(0.0692536836,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.3743910789489746, timestamp=1706073972.6627479) [('tile_y', [-1, 32]), ('tile_x', [-1, 8])],None,35
+No: 8 GFLOPS: 14.47/14.47 result: MeasureResult(costs=(0.0185522044,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.5479202270507812, timestamp=1706073973.2147229) [('tile_y', [-1, 16]), ('tile_x', [-1, 32])],None,54
+No: 9 GFLOPS: 11.61/14.47 result: MeasureResult(costs=(0.0231120046,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.5830564498901367, timestamp=1706073973.9061275) [('tile_y', [-1, 256]), ('tile_x', [-1, 512])],None,98
+No: 10 GFLOPS: 0.53/14.47 result: MeasureResult(costs=(0.5109108028,), error_no=MeasureErrorNo.NO_ERROR, all_cost=8.383572578430176, timestamp=1706073982.3325121) [('tile_y', [-1, 256]), ('tile_x', [-1, 1])],None,8
</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 f780f1da4d..fcdfb66c98 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>{'mean': 472.7061919899279, 'median': 471.73933570011286, 'std': 2.0173617951003946}
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>{'mean': 476.09278967999217, 'median': 475.80901680000807, 'std': 2.364623297288753}
</pre></div>
</div>
</div>
@@ -767,179 +767,177 @@ depending on the specifics of the model and the target platform.</p>
</pre></div>
</div>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>[Task 1/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 1/25] Current/Best: 10.85/ 22.48 GFLOPS | Progress: (4/20) | 7.76 s
-[Task 1/25] Current/Best: 14.72/ 22.48 GFLOPS | Progress: (8/20) | 12.09 s
-[Task 1/25] Current/Best: 12.50/ 22.48 GFLOPS | Progress: (12/20) | 15.52 s
-[Task 1/25] Current/Best: 20.09/ 22.48 GFLOPS | Progress: (16/20) | 17.45 s
-[Task 1/25] Current/Best: 14.26/ 22.48 GFLOPS | Progress: (20/20) | 21.13 s Done.
+[Task 1/25] Current/Best: 24.75/ 24.75 GFLOPS | Progress: (4/20) | 7.22 s
+[Task 1/25] Current/Best: 10.12/ 24.75 GFLOPS | Progress: (8/20) | 9.76 s
+[Task 1/25] Current/Best: 20.55/ 24.75 GFLOPS | Progress: (12/20) | 11.89 s
+[Task 1/25] Current/Best: 15.39/ 24.75 GFLOPS | Progress: (16/20) | 13.96 s
+[Task 1/25] Current/Best: 22.87/ 24.75 GFLOPS | Progress: (20/20) | 16.03 s Done.
[Task 2/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 2/25] Current/Best: 15.14/ 15.73 GFLOPS | Progress: (4/20) | 4.08 s
-[Task 2/25] Current/Best: 12.66/ 15.73 GFLOPS | Progress: (8/20) | 6.81 s
-[Task 2/25] Current/Best: 19.80/ 19.80 GFLOPS | Progress: (12/20) | 8.37 s
-[Task 2/25] Current/Best: 19.77/ 19.80 GFLOPS | Progress: (16/20) | 10.07 s
-[Task 2/25] Current/Best: 17.12/ 19.80 GFLOPS | Progress: (20/20) | 12.74 s Done.
+[Task 2/25] Current/Best: 20.91/ 20.91 GFLOPS | Progress: (4/20) | 4.02 s
+[Task 2/25] Current/Best: 6.34/ 20.91 GFLOPS | Progress: (8/20) | 5.53 s
+[Task 2/25] Current/Best: 6.68/ 20.91 GFLOPS | Progress: (12/20) | 7.30 s
+[Task 2/25] Current/Best: 7.03/ 20.91 GFLOPS | Progress: (16/20) | 9.86 s
+[Task 2/25] Current/Best: 3.64/ 20.91 GFLOPS | Progress: (20/20) | 11.74 s Done.
[Task 3/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 3/25] Current/Best: 17.06/ 17.06 GFLOPS | Progress: (4/20) | 5.50 s
-[Task 3/25] Current/Best: 17.69/ 21.50 GFLOPS | Progress: (8/20) | 7.77 s
-[Task 3/25] Current/Best: 22.41/ 22.41 GFLOPS | Progress: (12/20) | 10.01 s
-[Task 3/25] Current/Best: 11.76/ 22.41 GFLOPS | Progress: (16/20) | 12.80 s
-[Task 3/25] Current/Best: 12.66/ 22.41 GFLOPS | Progress: (20/20) | 15.23 s Done.
+[Task 3/25] Current/Best: 13.37/ 19.52 GFLOPS | Progress: (4/20) | 4.78 s
+[Task 3/25] Current/Best: 20.74/ 22.09 GFLOPS | Progress: (8/20) | 6.69 s
+[Task 3/25] Current/Best: 10.31/ 22.09 GFLOPS | Progress: (12/20) | 9.05 s
+[Task 3/25] Current/Best: 24.33/ 24.33 GFLOPS | Progress: (16/20) | 11.39 s
+[Task 3/25] Current/Best: 10.34/ 24.33 GFLOPS | Progress: (20/20) | 13.87 s Done.
[Task 4/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 4/25] Current/Best: 16.32/ 16.32 GFLOPS | Progress: (4/20) | 6.65 s
-[Task 4/25] Current/Best: 22.48/ 22.48 GFLOPS | Progress: (8/20) | 8.41 s
-[Task 4/25] Current/Best: 12.52/ 22.48 GFLOPS | Progress: (12/20) | 13.38 s
-[Task 4/25] Current/Best: 8.13/ 22.48 GFLOPS | Progress: (16/20) | 15.34 s
-[Task 4/25] Current/Best: 7.48/ 22.48 GFLOPS | Progress: (20/20) | 20.70 s Done.
+[Task 4/25] Current/Best: 14.72/ 14.72 GFLOPS | Progress: (4/20) | 5.08 s
+[Task 4/25] Current/Best: 9.78/ 14.72 GFLOPS | Progress: (8/20) | 10.00 s
+[Task 4/25] Current/Best: 11.72/ 17.80 GFLOPS | Progress: (12/20) | 11.92 s
+[Task 4/25] Current/Best: 21.00/ 22.42 GFLOPS | Progress: (16/20) | 14.50 s
+[Task 4/25] Current/Best: 15.88/ 22.42 GFLOPS | Progress: (20/20) | 16.44 s Done.
[Task 5/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 5/25] Current/Best: 8.74/ 13.49 GFLOPS | Progress: (4/20) | 4.46 s
-[Task 5/25] Current/Best: 9.03/ 18.58 GFLOPS | Progress: (8/20) | 6.64 s
-[Task 5/25] Current/Best: 14.20/ 18.58 GFLOPS | Progress: (12/20) | 8.65 s
-[Task 5/25] Current/Best: 5.09/ 18.58 GFLOPS | Progress: (16/20) | 10.68 s
-[Task 5/25] Current/Best: 14.49/ 18.58 GFLOPS | Progress: (20/20) | 12.98 s Done.
+[Task 5/25] Current/Best: 3.95/ 11.22 GFLOPS | Progress: (4/20) | 4.57 s
+[Task 5/25] Current/Best: 9.01/ 17.12 GFLOPS | Progress: (8/20) | 6.85 s
+[Task 5/25] Current/Best: 7.01/ 19.65 GFLOPS | Progress: (12/20) | 9.01 s
+[Task 5/25] Current/Best: 13.92/ 19.65 GFLOPS | Progress: (16/20) | 10.87 s
+[Task 5/25] Current/Best: 8.34/ 19.65 GFLOPS | Progress: (20/20) | 13.21 s Done.
[Task 6/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 6/25] Current/Best: 18.15/ 18.15 GFLOPS | Progress: (4/20) | 6.38 s
-[Task 6/25] Current/Best: 15.60/ 18.15 GFLOPS | Progress: (8/20) | 9.83 s
-[Task 6/25] Current/Best: 16.98/ 19.83 GFLOPS | Progress: (12/20) | 12.21 s
-[Task 6/25] Current/Best: 2.80/ 19.83 GFLOPS | Progress: (16/20) | 17.76 s
-[Task 6/25] Current/Best: 11.42/ 19.93 GFLOPS | Progress: (20/20) | 19.94 s Done.
+[Task 6/25] Current/Best: 14.59/ 16.56 GFLOPS | Progress: (4/20) | 4.77 s
+[Task 6/25] Current/Best: 4.95/ 16.56 GFLOPS | Progress: (8/20) | 7.53 s
+[Task 6/25] Current/Best: 14.16/ 17.84 GFLOPS | Progress: (12/20) | 10.94 s
+[Task 6/25] Current/Best: 7.55/ 23.08 GFLOPS | Progress: (16/20) | 12.98 s
+[Task 6/25] Current/Best: 3.66/ 23.08 GFLOPS | Progress: (20/20) | 16.25 s Done.
[Task 7/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 7/25] Current/Best: 12.85/ 15.67 GFLOPS | Progress: (4/20) | 5.65 s
-[Task 7/25] Current/Best: 5.22/ 18.21 GFLOPS | Progress: (8/20) | 8.41 s
-[Task 7/25] Current/Best: 9.58/ 18.21 GFLOPS | Progress: (12/20) | 10.98 s
-[Task 7/25] Current/Best: 15.53/ 18.21 GFLOPS | Progress: (16/20) | 14.79 s
-[Task 7/25] Current/Best: 8.81/ 22.37 GFLOPS | Progress: (20/20) | 17.19 s Done.
+[Task 7/25] Current/Best: 20.16/ 21.16 GFLOPS | Progress: (4/20) | 4.53 s
+[Task 7/25] Current/Best: 19.79/ 22.22 GFLOPS | Progress: (8/20) | 6.67 s
+[Task 7/25] Current/Best: 9.28/ 22.22 GFLOPS | Progress: (12/20) | 9.38 s
+[Task 7/25] Current/Best: 9.67/ 22.22 GFLOPS | Progress: (16/20) | 12.52 s
+[Task 7/25] Current/Best: 7.79/ 22.22 GFLOPS | Progress: (20/20) | 15.20 s Done.
[Task 8/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 8/25] Current/Best: 14.08/ 14.08 GFLOPS | Progress: (4/20) | 8.82 s
-[Task 8/25] Current/Best: 17.46/ 17.46 GFLOPS | Progress: (8/20) | 13.04 s
-[Task 8/25] Current/Best: 10.37/ 17.46 GFLOPS | Progress: (12/20) | 24.66 s
-[Task 8/25] Current/Best: 7.37/ 17.46 GFLOPS | Progress: (16/20) | 36.39 s
-[Task 8/25] Current/Best: 2.83/ 18.04 GFLOPS | Progress: (20/20) | 39.41 s
-[Task 9/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 9/25] Current/Best: 15.73/ 20.03 GFLOPS | Progress: (4/20) | 5.41 s
-[Task 9/25] Current/Best: 8.46/ 20.03 GFLOPS | Progress: (8/20) | 12.10 s
-[Task 9/25] Current/Best: 11.88/ 20.03 GFLOPS | Progress: (12/20) | 14.42 s
-[Task 9/25] Current/Best: 15.81/ 20.03 GFLOPS | Progress: (16/20) | 17.61 s
-[Task 9/25] Current/Best: 15.78/ 20.03 GFLOPS | Progress: (20/20) | 21.66 s Done.
+[Task 8/25] Current/Best: 8.24/ 18.96 GFLOPS | Progress: (4/20) | 9.53 s
+[Task 8/25] Current/Best: 12.11/ 18.96 GFLOPS | Progress: (8/20) | 15.30 s
+[Task 8/25] Current/Best: 12.86/ 18.96 GFLOPS | Progress: (12/20) | 20.66 s
+[Task 8/25] Current/Best: 11.98/ 18.96 GFLOPS | Progress: (16/20) | 23.03 s
+[Task 8/25] Current/Best: 3.96/ 18.96 GFLOPS | Progress: (20/20) | 26.24 s Done.
+[Task 9/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
+[Task 9/25] Current/Best: 13.08/ 17.57 GFLOPS | Progress: (4/20) | 4.58 s
+[Task 9/25] Current/Best: 10.18/ 17.57 GFLOPS | Progress: (8/20) | 15.68 s
+[Task 9/25] Current/Best: 12.82/ 17.57 GFLOPS | Progress: (12/20) | 18.40 s
+[Task 9/25] Current/Best: 13.78/ 17.57 GFLOPS | Progress: (16/20) | 21.99 s
+[Task 9/25] Current/Best: 9.84/ 17.57 GFLOPS | Progress: (20/20) | 25.00 s
[Task 10/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 10/25] Current/Best: 14.99/ 20.98 GFLOPS | Progress: (4/20) | 5.08 s
-[Task 10/25] Current/Best: 18.99/ 21.75 GFLOPS | Progress: (8/20) | 7.00 s
-[Task 10/25] Current/Best: 12.78/ 21.75 GFLOPS | Progress: (12/20) | 9.89 s
-[Task 10/25] Current/Best: 17.68/ 21.75 GFLOPS | Progress: (16/20) | 11.61 s
-[Task 10/25] Current/Best: 16.78/ 21.75 GFLOPS | Progress: (20/20) | 14.30 s Done.
+[Task 10/25] Current/Best: 10.20/ 19.08 GFLOPS | Progress: (4/20) | 5.30 s
+[Task 10/25] Current/Best: 5.90/ 19.08 GFLOPS | Progress: (8/20) | 7.83 s
+[Task 10/25] Current/Best: 10.61/ 19.08 GFLOPS | Progress: (12/20) | 10.44 s
+[Task 10/25] Current/Best: 11.84/ 19.08 GFLOPS | Progress: (16/20) | 12.34 s
+[Task 10/25] Current/Best: 12.02/ 19.08 GFLOPS | Progress: (20/20) | 14.62 s Done.
[Task 11/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 11/25] Current/Best: 6.35/ 21.08 GFLOPS | Progress: (4/20) | 4.70 s
-[Task 11/25] Current/Best: 7.29/ 21.08 GFLOPS | Progress: (8/20) | 7.41 s
-[Task 11/25] Current/Best: 10.13/ 21.91 GFLOPS | Progress: (12/20) | 9.51 s
-[Task 11/25] Current/Best: 21.53/ 21.91 GFLOPS | Progress: (16/20) | 11.76 s
-[Task 11/25] Current/Best: 11.75/ 21.91 GFLOPS | Progress: (20/20) | 14.27 s Done.
+[Task 11/25] Current/Best: 3.22/ 20.86 GFLOPS | Progress: (4/20) | 6.30 s
+[Task 11/25] Current/Best: 12.77/ 20.86 GFLOPS | Progress: (8/20) | 8.64 s
+[Task 11/25] Current/Best: 13.31/ 20.86 GFLOPS | Progress: (12/20) | 10.76 s
+[Task 11/25] Current/Best: 3.22/ 20.86 GFLOPS | Progress: (16/20) | 13.59 s
+[Task 11/25] Current/Best: 16.83/ 20.86 GFLOPS | Progress: (20/20) | 15.82 s Done.
[Task 12/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 12/25] Current/Best: 16.54/ 16.75 GFLOPS | Progress: (4/20) | 5.77 s
-[Task 12/25] Current/Best: 18.24/ 18.24 GFLOPS | Progress: (8/20) | 8.65 s
-[Task 12/25] Current/Best: 21.10/ 21.10 GFLOPS | Progress: (12/20) | 10.65 s
-[Task 12/25] Current/Best: 15.03/ 21.10 GFLOPS | Progress: (16/20) | 12.84 s
-[Task 12/25] Current/Best: 13.96/ 21.33 GFLOPS | Progress: (20/20) | 15.84 s Done.
+[Task 12/25] Current/Best: 18.76/ 18.76 GFLOPS | Progress: (4/20) | 5.80 s
+[Task 12/25] Current/Best: 18.03/ 18.76 GFLOPS | Progress: (8/20) | 10.49 s
+[Task 12/25] Current/Best: 17.40/ 18.76 GFLOPS | Progress: (12/20) | 14.10 s
+[Task 12/25] Current/Best: 8.86/ 18.76 GFLOPS | Progress: (16/20) | 16.28 s
+[Task 12/25] Current/Best: 15.03/ 19.00 GFLOPS | Progress: (20/20) | 18.59 s Done.
[Task 13/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 13/25] Current/Best: 8.00/ 20.56 GFLOPS | Progress: (4/20) | 5.53 s
-[Task 13/25] Current/Best: 19.83/ 20.56 GFLOPS | Progress: (8/20) | 7.85 s
-[Task 13/25] Current/Best: 16.29/ 20.56 GFLOPS | Progress: (12/20) | 11.99 s
-[Task 13/25] Current/Best: 12.57/ 20.56 GFLOPS | Progress: (16/20) | 14.71 s
-[Task 13/25] Current/Best: 5.11/ 20.56 GFLOPS | Progress: (20/20) | 19.09 s Done.
+[Task 13/25] Current/Best: 8.81/ 20.16 GFLOPS | Progress: (4/20) | 4.99 s
+[Task 13/25] Current/Best: 9.30/ 20.16 GFLOPS | Progress: (8/20) | 8.08 s
+[Task 13/25] Current/Best: 18.92/ 21.27 GFLOPS | Progress: (12/20) | 10.30 s
+[Task 13/25] Current/Best: 12.60/ 21.27 GFLOPS | Progress: (16/20) | 13.40 s
+[Task 13/25] Current/Best: 17.74/ 21.83 GFLOPS | Progress: (20/20) | 15.31 s Done.
[Task 14/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 14/25] Current/Best: 18.17/ 18.17 GFLOPS | Progress: (4/20) | 9.80 s
-[Task 14/25] Current/Best: 22.03/ 22.03 GFLOPS | Progress: (8/20) | 19.28 s
-[Task 14/25] Current/Best: 11.93/ 22.03 GFLOPS | Progress: (12/20) | 30.66 s
-[Task 14/25] Current/Best: 12.56/ 22.03 GFLOPS | Progress: (16/20) | 39.33 s
-[Task 14/25] Current/Best: 19.63/ 22.03 GFLOPS | Progress: (20/20) | 44.21 s
+[Task 14/25] Current/Best: 6.38/ 17.36 GFLOPS | Progress: (4/20) | 6.51 s
+[Task 14/25] Current/Best: 9.82/ 19.57 GFLOPS | Progress: (8/20) | 8.59 s
+[Task 14/25] Current/Best: 13.67/ 19.57 GFLOPS | Progress: (12/20) | 12.23 s
+[Task 14/25] Current/Best: 18.19/ 19.57 GFLOPS | Progress: (16/20) | 14.24 s
+[Task 14/25] Current/Best: 3.15/ 19.57 GFLOPS | Progress: (20/20) | 26.70 s
[Task 15/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 15/25] Current/Best: 14.15/ 22.03 GFLOPS | Progress: (4/20) | 4.21 s
-[Task 15/25] Current/Best: 11.62/ 22.03 GFLOPS | Progress: (8/20) | 8.03 s
-[Task 15/25] Current/Best: 21.52/ 22.03 GFLOPS | Progress: (12/20) | 19.04 s Done.
+[Task 15/25] Current/Best: 8.58/ 13.61 GFLOPS | Progress: (4/20) | 7.22 s
+[Task 15/25] Current/Best: 21.24/ 22.02 GFLOPS | Progress: (8/20) | 18.20 s Done.
Done.
-[Task 15/25] Current/Best: 3.19/ 22.18 GFLOPS | Progress: (16/20) | 21.96 s
-[Task 15/25] Current/Best: 22.94/ 22.94 GFLOPS | Progress: (20/20) | 23.84 s Done.
-
+[Task 15/25] Current/Best: 8.47/ 22.02 GFLOPS | Progress: (12/20) | 29.42 s
+[Task 15/25] Current/Best: 17.13/ 22.02 GFLOPS | Progress: (16/20) | 31.92 s
+[Task 15/25] Current/Best: 16.86/ 22.02 GFLOPS | Progress: (20/20) | 33.62 s
[Task 16/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 16/25] Current/Best: 18.97/ 19.83 GFLOPS | Progress: (4/20) | 3.93 s
-[Task 16/25] Current/Best: 14.66/ 24.56 GFLOPS | Progress: (8/20) | 5.62 s
-[Task 16/25] Current/Best: 18.48/ 24.56 GFLOPS | Progress: (12/20) | 7.58 s
-[Task 16/25] Current/Best: 14.56/ 24.56 GFLOPS | Progress: (16/20) | 9.58 s
-[Task 16/25] Current/Best: 18.41/ 24.56 GFLOPS | Progress: (20/20) | 12.63 s Done.
+[Task 16/25] Current/Best: 18.91/ 18.91 GFLOPS | Progress: (4/20) | 5.71 s
+[Task 16/25] Current/Best: 18.35/ 18.91 GFLOPS | Progress: (8/20) | 8.05 s
+[Task 16/25] Current/Best: 10.39/ 18.91 GFLOPS | Progress: (12/20) | 11.17 s
+[Task 16/25] Current/Best: 20.17/ 20.17 GFLOPS | Progress: (16/20) | 12.96 s
+[Task 16/25] Current/Best: 4.74/ 20.17 GFLOPS | Progress: (20/20) | 16.02 s Done.
[Task 17/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 17/25] Current/Best: 9.59/ 23.36 GFLOPS | Progress: (4/20) | 5.26 s
-[Task 17/25] Current/Best: 19.29/ 23.93 GFLOPS | Progress: (8/20) | 8.05 s
-[Task 17/25] Current/Best: 9.96/ 23.93 GFLOPS | Progress: (12/20) | 10.63 s
-[Task 17/25] Current/Best: 15.89/ 23.93 GFLOPS | Progress: (16/20) | 13.16 s
-[Task 17/25] Current/Best: 9.71/ 23.93 GFLOPS | Progress: (20/20) | 15.42 s Done.
+[Task 17/25] Current/Best: 8.04/ 19.10 GFLOPS | Progress: (4/20) | 5.90 s
+[Task 17/25] Current/Best: 12.70/ 20.35 GFLOPS | Progress: (8/20) | 8.43 s
+[Task 17/25] Current/Best: 20.58/ 20.58 GFLOPS | Progress: (12/20) | 10.72 s
+[Task 17/25] Current/Best: 6.36/ 20.58 GFLOPS | Progress: (16/20) | 13.78 s
+[Task 17/25] Current/Best: 23.67/ 23.67 GFLOPS | Progress: (20/20) | 17.36 s Done.
[Task 18/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 18/25] Current/Best: 14.35/ 14.35 GFLOPS | Progress: (4/20) | 6.07 s
-[Task 18/25] Current/Best: 21.04/ 21.44 GFLOPS | Progress: (8/20) | 10.16 s
-[Task 18/25] Current/Best: 12.74/ 21.44 GFLOPS | Progress: (12/20) | 16.34 s
-[Task 18/25] Current/Best: 11.18/ 21.44 GFLOPS | Progress: (16/20) | 19.57 s
-[Task 18/25] Current/Best: 6.50/ 21.44 GFLOPS | Progress: (20/20) | 22.24 s Done.
+[Task 18/25] Current/Best: 13.01/ 13.01 GFLOPS | Progress: (4/20) | 5.26 s
+[Task 18/25] Current/Best: 7.19/ 22.93 GFLOPS | Progress: (8/20) | 7.98 s
+[Task 18/25] Current/Best: 9.50/ 22.93 GFLOPS | Progress: (12/20) | 12.81 s
+[Task 18/25] Current/Best: 7.80/ 22.93 GFLOPS | Progress: (16/20) | 18.22 s
+[Task 18/25] Current/Best: 13.98/ 22.93 GFLOPS | Progress: (20/20) | 20.22 s Done.
[Task 19/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 19/25] Current/Best: 8.76/ 15.65 GFLOPS | Progress: (4/20) | 8.62 s
-[Task 19/25] Current/Best: 15.50/ 18.03 GFLOPS | Progress: (8/20) | 12.81 s
-[Task 19/25] Current/Best: 3.19/ 21.03 GFLOPS | Progress: (12/20) | 16.90 s
-[Task 19/25] Current/Best: 12.34/ 21.16 GFLOPS | Progress: (16/20) | 20.43 s
-[Task 19/25] Current/Best: 6.35/ 21.16 GFLOPS | Progress: (20/20) | 24.62 s Done.
+[Task 19/25] Current/Best: 5.12/ 19.56 GFLOPS | Progress: (4/20) | 7.89 s
+[Task 19/25] Current/Best: 10.86/ 19.56 GFLOPS | Progress: (8/20) | 11.99 s
+[Task 19/25] Current/Best: 10.35/ 19.56 GFLOPS | Progress: (12/20) | 16.05 s
+[Task 19/25] Current/Best: 6.37/ 19.56 GFLOPS | Progress: (16/20) | 19.25 s
+[Task 19/25] Current/Best: 10.69/ 19.56 GFLOPS | Progress: (20/20) | 22.24 s Done.
[Task 20/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 20/25] Current/Best: 19.41/ 19.41 GFLOPS | Progress: (4/20) | 4.41 s
-[Task 20/25] Current/Best: 7.56/ 19.41 GFLOPS | Progress: (8/20) | 15.95 s
-[Task 20/25] Current/Best: 14.74/ 19.41 GFLOPS | Progress: (12/20) | 22.88 s
-[Task 20/25] Current/Best: 8.92/ 19.41 GFLOPS | Progress: (16/20) | 26.76 s
-[Task 20/25] Current/Best: 16.42/ 19.41 GFLOPS | Progress: (20/20) | 36.18 s
+[Task 20/25] Current/Best: 7.27/ 20.44 GFLOPS | Progress: (4/20) | 6.21 s
+[Task 20/25] Current/Best: 9.15/ 20.44 GFLOPS | Progress: (8/20) | 12.41 s
+[Task 20/25] Current/Best: 15.41/ 20.44 GFLOPS | Progress: (12/20) | 15.54 s
+[Task 20/25] Current/Best: 12.86/ 20.44 GFLOPS | Progress: (16/20) | 27.27 s
+[Task 20/25] Current/Best: 10.36/ 20.44 GFLOPS | Progress: (20/20) | 36.92 s
[Task 21/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 21/25] Current/Best: 9.50/ 17.92 GFLOPS | Progress: (4/20) | 4.93 s
-[Task 21/25] Current/Best: 21.10/ 21.10 GFLOPS | Progress: (8/20) | 7.52 s
-[Task 21/25] Current/Best: 11.54/ 21.10 GFLOPS | Progress: (12/20) | 11.89 s
-[Task 21/25] Current/Best: 8.74/ 21.10 GFLOPS | Progress: (16/20) | 13.72 s
-[Task 21/25] Current/Best: 19.29/ 21.10 GFLOPS | Progress: (20/20) | 18.21 s Done.
-
+[Task 21/25] Current/Best: 23.20/ 23.20 GFLOPS | Progress: (4/20) | 10.61 s
+[Task 21/25] Current/Best: 5.46/ 23.20 GFLOPS | Progress: (8/20) | 21.93 s
+[Task 21/25] Current/Best: 19.34/ 23.20 GFLOPS | Progress: (12/20) | 32.94 s
+[Task 21/25] Current/Best: 13.03/ 23.20 GFLOPS | Progress: (16/20) | 36.07 s
+[Task 21/25] Current/Best: 17.08/ 23.20 GFLOPS | Progress: (20/20) | 37.84 s
[Task 22/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 22/25] Current/Best: 5.25/ 16.64 GFLOPS | Progress: (4/20) | 7.00 s
-[Task 22/25] Current/Best: 17.65/ 19.18 GFLOPS | Progress: (8/20) | 9.16 s
-[Task 22/25] Current/Best: 13.70/ 21.57 GFLOPS | Progress: (12/20) | 12.70 s
-[Task 22/25] Current/Best: 21.73/ 23.11 GFLOPS | Progress: (16/20) | 14.29 s
-[Task 22/25] Current/Best: 17.55/ 23.11 GFLOPS | Progress: (20/20) | 17.37 s Done.
+[Task 22/25] Current/Best: 8.84/ 17.18 GFLOPS | Progress: (4/20) | 4.22 s
+[Task 22/25] Current/Best: 20.81/ 20.81 GFLOPS | Progress: (8/20) | 5.96 s
+[Task 22/25] Current/Best: 9.65/ 22.57 GFLOPS | Progress: (12/20) | 8.04 s
+[Task 22/25] Current/Best: 19.30/ 22.57 GFLOPS | Progress: (16/20) | 9.88 s
+[Task 22/25] Current/Best: 6.37/ 22.57 GFLOPS | Progress: (20/20) | 11.86 s Done.
[Task 23/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 23/25] Current/Best: 13.18/ 14.71 GFLOPS | Progress: (4/20) | 6.08 s
-[Task 23/25] Current/Best: 10.12/ 18.29 GFLOPS | Progress: (8/20) | 8.70 s
-[Task 23/25] Current/Best: 5.47/ 18.29 GFLOPS | Progress: (12/20) | 12.22 s
-[Task 23/25] Current/Best: 11.43/ 19.98 GFLOPS | Progress: (16/20) | 17.04 s
-[Task 23/25] Current/Best: 13.18/ 19.98 GFLOPS | Progress: (20/20) | 19.64 s Done.
-
-[Task 24/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 24/25] Current/Best: 5.56/ 6.34 GFLOPS | Progress: (4/20) | 3.82 s
-[Task 24/25] Current/Best: 2.34/ 6.40 GFLOPS | Progress: (8/20) | 14.54 s
-[Task 24/25] Current/Best: 3.83/ 6.40 GFLOPS | Progress: (12/20) | 27.21 s
-[Task 24/25] Current/Best: 3.51/ 8.42 GFLOPS | Progress: (16/20) | 38.22 s
-[Task 24/25] Current/Best: 5.87/ 8.42 GFLOPS | Progress: (20/20) | 40.67 s
-[Task 25/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s Done.
+[Task 23/25] Current/Best: 11.23/ 20.60 GFLOPS | Progress: (4/20) | 5.68 s
+[Task 23/25] Current/Best: 20.84/ 20.84 GFLOPS | Progress: (8/20) | 8.15 s
+[Task 23/25] Current/Best: 13.30/ 20.84 GFLOPS | Progress: (12/20) | 11.83 s
+[Task 23/25] Current/Best: 23.38/ 23.38 GFLOPS | Progress: (16/20) | 15.48 s
+[Task 23/25] Current/Best: 18.47/ 23.38 GFLOPS | Progress: (20/20) | 19.59 s Done.
+
+[Task 24/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s Done.
Done.
-[Task 25/25] Current/Best: 5.15/ 8.00 GFLOPS | Progress: (4/20) | 4.57 s
-[Task 25/25] Current/Best: 1.60/ 8.00 GFLOPS | Progress: (8/20) | 10.37 s
-[Task 25/25] Current/Best: 8.30/ 8.30 GFLOPS | Progress: (12/20) | 21.30 s
-[Task 25/25] Current/Best: 3.10/ 8.30 GFLOPS | Progress: (16/20) | 32.29 s
-[Task 25/25] Current/Best: 1.59/ 9.35 GFLOPS | Progress: (20/20) | 34.83 s
+[Task 24/25] Current/Best: 5.59/ 5.59 GFLOPS | Progress: (4/20) | 12.71 s
+[Task 24/25] Current/Best: 3.82/ 8.45 GFLOPS | Progress: (8/20) | 25.15 s
+[Task 24/25] Current/Best: 6.14/ 8.45 GFLOPS | Progress: (12/20) | 37.18 s
+[Task 24/25] Current/Best: 3.80/ 10.31 GFLOPS | Progress: (16/20) | 48.12 s
+[Task 24/25] Current/Best: 3.98/ 10.31 GFLOPS | Progress: (20/20) | 59.11 s
+[Task 25/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
+[Task 25/25] Current/Best: 7.89/ 7.89 GFLOPS | Progress: (4/20) | 14.51 s
+[Task 25/25] Current/Best: 6.02/ 10.26 GFLOPS | Progress: (8/20) | 24.61 s
+[Task 25/25] Current/Best: 5.79/ 10.26 GFLOPS | Progress: (12/20) | 29.54 s
+[Task 25/25] Current/Best: 1.60/ 10.26 GFLOPS | Progress: (16/20) | 32.33 s
+[Task 25/25] Current/Best: 6.21/ 10.26 GFLOPS | Progress: (20/20) | 35.76 s
</pre></div>
</div>
<p>The output from this tuning process will look something like this:</p>
@@ -987,6 +985,7 @@ 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>
@@ -1003,8 +1002,8 @@ model using optimized operators to speed up our computations.</p>
<span class="nb">print</span><span class="p">(</span><span class="s2">"class='</span><span class="si">%s</span><span class="s2">' with probability=</span><span class="si">%f</span><span class="s2">"</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='n02123045 tabby, tabby cat' with probability=0.621105
-class='n02123159 tiger cat' with probability=0.356377
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>class='n02123045 tabby, tabby cat' with probability=0.621104
+class='n02123159 tiger cat' with probability=0.356378
class='n02124075 Egyptian cat' with probability=0.019712
class='n02129604 tiger, Panthera tigris' with probability=0.001215
class='n04040759 radiator' with probability=0.000262
@@ -1041,8 +1040,8 @@ improvement in comparing the optimized model to the unoptimized model.</p>
<span class="nb">print</span><span class="p">(</span><span class="s2">"unoptimized: </span><span class="si">%s</span><span class="s2">"</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: {'mean': 387.59119651003857, 'median': 388.2216256999527, 'std': 1.900046637427125}
-unoptimized: {'mean': 472.7061919899279, 'median': 471.73933570011286, 'std': 2.0173617951003946}
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>optimized: {'mean': 397.097119989985, 'median': 394.8207354999795, 'std': 3.849856717266297}
+unoptimized: {'mean': 476.09278967999217, 'median': 475.80901680000807, 'std': 2.364623297288753}
</pre></div>
</div>
</div>
@@ -1056,7 +1055,7 @@ models.</p>
<p>Here we presented a simple example using ResNet-50 v2 locally. However, TVM
supports many more features including cross-compilation, remote execution and
profiling/benchmarking.</p>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 13 minutes 19.203 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 13 minutes 18.530 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 d43daba2f3..821dc1fb5e 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">"</span><span class="si">%g</span><span class="s2"> secs/op"</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>1.208e-07 secs/op
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>1.105e-07 secs/op
</pre></div>
</div>
</div>
diff --git a/docs/tutorial/intro_topi.html b/docs/tutorial/intro_topi.html
index 39658ca9de..fae5e963df 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, 0x11240480)), stage(b, placeholder(b, 0x85e65c0)), 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 [...]
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>[stage(a, placeholder(a, 0x5c41040)), stage(b, placeholder(b, 0x12a4ddf0)), 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 [...]
</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 de7dc93cff..008b087829 100644
--- a/docs/tutorial/sg_execution_times.html
+++ b/docs/tutorial/sg_execution_times.html
@@ -360,7 +360,7 @@
<div class="section" id="computation-times">
<span id="sphx-glr-tutorial-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>17:29.292</strong> total execution time for <strong>tutorial</strong> files:</p>
+<p><strong>16:59.153</strong> total execution time for <strong>tutorial</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 83%" />
@@ -369,35 +369,35 @@
</colgroup>
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="autotvm_relay_x86.html#sphx-glr-tutorial-autotvm-relay-x86-py"><span class="std std-ref">Compiling and Optimizing a Model with the Python Interface (AutoTVM)</span></a> (<code class="docutils literal notranslate"><span class="pre">autotvm_relay_x86.py</span></code>)</p></td>
-<td><p>13:19.203</p></td>
+<td><p>13:18.530</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>02:03.258</p></td>
+<td><p>01:32.260</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>00:57.787</p></td>
+<td><p>00:59.198</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>00:41.354</p></td>
+<td><p>00:40.138</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="autotvm_matmul_x86.html#sphx-glr-tutorial-autotvm-matmul-x86-py"><span class="std std-ref">Optimizing Operators with Schedule Templates and AutoTVM</span></a> (<code class="docutils literal notranslate"><span class="pre">autotvm_matmul_x86.py</span></code>)</p></td>
-<td><p>00:25.685</p></td>
+<td><p>00:27.090</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>00:00.937</p></td>
+<td><p>00:00.932</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>00:00.866</p></td>
+<td><p>00:00.836</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>00:00.202</p></td>
+<td><p>00:00.168</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>
@@ -412,11 +412,11 @@
<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="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-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>
<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="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-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>
<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 ace6cc4c72..a332e6670f 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">"naive"</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>
@@ -625,7 +625,7 @@ compile and run this new schedule with the parallel operation applied:</p>
<span class="n">evaluate_addition</span><span class="p">(</span><span class="n">fadd_parallel</span><span class="p">,</span> <a href="../reference/api/python/target.html#tvm.target.Target" title="tvm.target.Target" class="sphx-glr-backref-module-tvm-target sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">tgt</span></a><span class="p">,</span> <span class="s2">"parallel"</span><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.h [...]
</pre></div>
</div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>parallel: 0.000006
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>parallel: 0.000007
</pre></div>
</div>
</div>
@@ -664,7 +664,7 @@ factor to be the number of threads on your CPU.</p>
<span class="nb">print</span><span class="p">(</span><a href="../reference/api/python/driver.html#tvm.lower" title="tvm.lower" class="sphx-glr-backref-module-tvm sphx-glr-backref-type-py-function"><span class="n">tvm</span><span class="o">.</span><span class="n">lower</span></a><span class="p">(</span><a href="../reference/api/python/te.html#tvm.te.Schedule" title="tvm.te.Schedule" class="sphx-glr-backref-module-tvm-te sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class [...]
</pre></div>
</div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>vector: 0.000040
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>vector: 0.000038
# from tvm.script import ir as I
# from tvm.script import tir as T
@@ -701,10 +701,10 @@ class Module:
</pre></div>
</div>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Operator Timing Performance
- numpy 6.3657799910288305e-06 1.0
- naive 5.8871e-06 0.9248041886927564
-parallel 6.1249e-06 0.9621601765426548
- vector 4.02587e-05 6.3242367874378
+ numpy 7.049400001051253e-06 1.0
+ naive 7.8098e-06 1.107867336061984
+parallel 6.9586e-06 0.9871194710134603
+ vector 3.8013000000000003e-05 5.392373818244284
</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: 0.015981
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Numpy running time: 0.017427
</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: 3.269853
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>none: 3.395569
</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: 0.300664
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>blocking: 0.278276
</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: 0.289066
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>vectorization: 0.258321
# 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: 0.113433
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>loop permutation: 0.110095
# 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: 0.101841
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>array packing: 0.102957
# 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: 0.097432
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>block caching: 0.110556
# 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: 0.115812
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>parallelization: 0.131300
# 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 3.2698526877 1.0
- blocking 0.30066430879999995 0.09195041413669493
- vectorization 0.2890656844 0.08840327440051361
-loop permutation 0.11343255 0.03469041600151961
- array packing 0.10184140500000001 0.03114556364667144
- block caching 0.09743238700000001 0.02979717935505331
- parallelization 0.1158119165 0.03541808379797733
+ none 3.3955692862000006 1.0
+ blocking 0.2782758862 0.0819526455640138
+ vectorization 0.2583205924 0.07607578306525677
+loop permutation 0.11009458030000001 0.03242301099478003
+ array packing 0.10295659900000001 0.030320865316584154
+ block caching 0.11055574730000002 0.03255882533432959
+ parallelization 0.1313004039 0.03866815630404614
</pre></div>
</div>
<p>Note that the outputs on the web page reflect the running times on a