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Posted to commits@tvm.apache.org by tq...@apache.org on 2024/02/22 14:22:52 UTC
(tvm-site) branch asf-site updated: deploying docs (apache/tvm@9fd3461c32086caf9c404175b2879baa6e5074f6)
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 c45d88a9d5 deploying docs (apache/tvm@9fd3461c32086caf9c404175b2879baa6e5074f6)
c45d88a9d5 is described below
commit c45d88a9d5a9a248eee492102d507319d362616a
Author: tvm-bot <95...@users.noreply.github.com>
AuthorDate: Thu Feb 22 14:22:45 2024 +0000
deploying docs (apache/tvm@9fd3461c32086caf9c404175b2879baa6e5074f6)
---
.../how_to/compile_models/from_darknet.rst.txt | 2 +-
.../how_to/compile_models/from_oneflow.rst.txt | 2 +-
.../how_to/compile_models/from_paddle.rst.txt | 5 +
.../how_to/compile_models/from_pytorch.rst.txt | 2 +-
.../how_to/compile_models/from_tensorflow.rst.txt | 2 +-
.../compile_models/sg_execution_times.rst.txt | 20 +-
.../deploy_models/deploy_model_on_adreno.rst.txt | 4 +-
.../deploy_model_on_adreno_tvmc.rst.txt | 2 +-
.../deploy_models/deploy_model_on_android.rst.txt | 2 +-
.../deploy_object_detection_pytorch.rst.txt | 4 +-
.../deploy_models/deploy_prequantized.rst.txt | 6 +-
.../deploy_prequantized_tflite.rst.txt | 2 +-
.../deploy_models/sg_execution_times.rst.txt | 20 +-
.../how_to/extend_tvm/sg_execution_times.rst.txt | 8 +-
.../how_to/extend_tvm/use_pass_instrument.rst.txt | 16 +-
.../optimize_operators/opt_conv_cuda.rst.txt | 2 +-
.../optimize_operators/opt_conv_tensorcore.rst.txt | 2 +-
.../how_to/optimize_operators/opt_gemm.rst.txt | 16 +-
.../optimize_operators/sg_execution_times.rst.txt | 8 +-
.../sg_execution_times.rst.txt | 14 +-
.../tune_conv2d_layer_cuda.rst.txt | 2 +-
.../tune_network_cuda.rst.txt | 4 +-
.../tune_network_x86.rst.txt | 4 +-
.../tune_with_autotvm/sg_execution_times.rst.txt | 6 +-
.../tune_with_autotvm/tune_conv2d_cuda.rst.txt | 2 +-
.../work_with_microtvm/micro_autotune.rst.txt | 18 +-
.../work_with_microtvm/micro_pytorch.rst.txt | 4 +-
.../how_to/work_with_microtvm/micro_train.rst.txt | 16 +-
.../work_with_microtvm/sg_execution_times.rst.txt | 14 +-
.../work_with_relay/sg_execution_times.rst.txt | 10 +-
.../how_to/work_with_schedules/intrin_math.rst.txt | 2 +-
.../work_with_schedules/sg_execution_times.rst.txt | 18 +-
.../tutorials/frontend/deploy_detection.rst.txt | 2 +-
.../tutorials/frontend/sg_execution_times.rst.txt | 4 +-
.../tutorials/optimize/sg_execution_times.rst.txt | 6 +-
.../topic/vta/tutorials/sg_execution_times.rst.txt | 6 +-
.../tutorial/auto_scheduler_matmul_x86.rst.txt | 4 +-
docs/_sources/tutorial/autotvm_matmul_x86.rst.txt | 20 +-
docs/_sources/tutorial/autotvm_relay_x86.rst.txt | 60 ++---
.../tutorial/cross_compilation_and_rpc.rst.txt | 2 +-
docs/_sources/tutorial/intro_topi.rst.txt | 2 +-
docs/_sources/tutorial/sg_execution_times.rst.txt | 22 +-
.../tutorial/tensor_expr_get_started.rst.txt | 44 ++--
docs/commit_hash | 2 +-
docs/how_to/compile_models/from_darknet.html | 2 +-
docs/how_to/compile_models/from_oneflow.html | 18 +-
docs/how_to/compile_models/from_paddle.html | 1 +
docs/how_to/compile_models/from_pytorch.html | 16 +-
docs/how_to/compile_models/from_tensorflow.html | 2 +-
docs/how_to/compile_models/sg_execution_times.html | 24 +-
.../deploy_models/deploy_model_on_adreno.html | 4 +-
.../deploy_models/deploy_model_on_adreno_tvmc.html | 15 +-
.../deploy_models/deploy_model_on_android.html | 2 +-
.../deploy_object_detection_pytorch.html | 46 +++-
docs/how_to/deploy_models/deploy_prequantized.html | 11 +-
.../deploy_models/deploy_prequantized_tflite.html | 2 +-
docs/how_to/deploy_models/sg_execution_times.html | 24 +-
docs/how_to/extend_tvm/sg_execution_times.html | 8 +-
docs/how_to/extend_tvm/use_pass_instrument.html | 16 +-
docs/how_to/optimize_operators/opt_conv_cuda.html | 2 +-
.../optimize_operators/opt_conv_tensorcore.html | 2 +-
docs/how_to/optimize_operators/opt_gemm.html | 16 +-
.../optimize_operators/sg_execution_times.html | 8 +-
.../sg_execution_times.html | 14 +-
.../tune_conv2d_layer_cuda.html | 2 +-
.../tune_with_autoscheduler/tune_network_cuda.html | 4 +-
.../tune_with_autoscheduler/tune_network_x86.html | 4 +-
.../tune_with_autotvm/sg_execution_times.html | 6 +-
.../how_to/tune_with_autotvm/tune_conv2d_cuda.html | 2 +-
docs/how_to/work_with_microtvm/micro_autotune.html | 18 +-
docs/how_to/work_with_microtvm/micro_pytorch.html | 6 +-
docs/how_to/work_with_microtvm/micro_train.html | 16 +-
.../work_with_microtvm/sg_execution_times.html | 14 +-
.../how_to/work_with_relay/sg_execution_times.html | 10 +-
docs/how_to/work_with_schedules/intrin_math.html | 2 +-
.../work_with_schedules/sg_execution_times.html | 18 +-
docs/reference/api/python/auto_scheduler.html | 4 +-
.../api/typedoc/classes/ArtifactCache.html | 10 +-
docs/reference/api/typedoc/classes/DLDataType.html | 14 +-
docs/reference/api/typedoc/classes/DLDevice.html | 12 +-
docs/reference/api/typedoc/classes/Instance.html | 104 ++++----
docs/reference/api/typedoc/classes/Module.html | 12 +-
docs/reference/api/typedoc/classes/NDArray.html | 30 +--
docs/reference/api/typedoc/classes/RPCServer.html | 16 +-
docs/reference/api/typedoc/classes/Scalar.html | 8 +-
docs/reference/api/typedoc/classes/TVMArray.html | 16 +-
docs/reference/api/typedoc/classes/TVMObject.html | 12 +-
.../api/typedoc/classes/VirtualMachine.html | 10 +-
.../classes/_internal_.CachedCallStack.html | 36 +--
.../classes/_internal_.CanvasRenderManager.html | 10 +-
.../typedoc/classes/_internal_.Environment.html | 14 +-
.../api/typedoc/classes/_internal_.FFILibrary.html | 22 +-
.../api/typedoc/classes/_internal_.Memory.html | 36 +--
.../typedoc/classes/_internal_.PackedFuncCell.html | 8 +-
.../typedoc/classes/_internal_.RuntimeContext.html | 54 ++--
.../api/typedoc/classes/_internal_.TVMString.html | 14 +-
.../typedoc/classes/_internal_.WebGPUContext.html | 28 +--
.../typedoc/enums/_internal_.RPCServerState.html | 14 +-
docs/reference/api/typedoc/functions/assert.html | 2 +-
.../api/typedoc/functions/createPolyfillWASI.html | 2 +-
.../api/typedoc/functions/deleteNDArrayCache.html | 2 +-
.../api/typedoc/functions/detectGPUDevice.html | 2 +-
.../api/typedoc/functions/hasNDArrayInCache.html | 2 +-
.../api/typedoc/functions/instantiate.html | 2 +-
docs/reference/api/typedoc/functions/wasmPath.html | 2 +-
.../api/typedoc/interfaces/Disposable.html | 4 +-
.../typedoc/interfaces/GPUDeviceDetectOutput.html | 8 +-
.../api/typedoc/interfaces/InitProgressReport.html | 10 +-
.../api/typedoc/interfaces/LibraryProvider.html | 6 +-
.../_internal_.ArtifactCacheTemplate.html | 8 +-
.../interfaces/_internal_.FunctionInfo.html | 8 +-
.../interfaces/_internal_.NDArrayCacheEntry.html | 14 +-
.../interfaces/_internal_.NDArrayShardEntry.html | 10 +-
.../api/typedoc/types/InitProgressCallback.html | 2 +-
docs/reference/api/typedoc/types/PackedFunc.html | 2 +-
.../types/_internal_.FObjectConstructor.html | 2 +-
.../types/_internal_.FTVMWasmAllocSpace.html | 2 +-
.../types/_internal_.FTVMWasmFreeSpace.html | 2 +-
.../types/_internal_.FTVMWasmPackedCFunc.html | 2 +-
.../api/typedoc/types/_internal_.Pointer.html | 2 +-
.../typedoc/types/_internal_.TVMObjectBase.html | 2 +-
docs/searchindex.js | 2 +-
.../vta/tutorials/frontend/deploy_detection.html | 2 +-
.../vta/tutorials/frontend/sg_execution_times.html | 4 +-
.../vta/tutorials/optimize/sg_execution_times.html | 6 +-
docs/topic/vta/tutorials/sg_execution_times.html | 6 +-
docs/tutorial/auto_scheduler_matmul_x86.html | 4 +-
docs/tutorial/autotvm_matmul_x86.html | 20 +-
docs/tutorial/autotvm_relay_x86.html | 278 ++++++++++-----------
docs/tutorial/cross_compilation_and_rpc.html | 2 +-
docs/tutorial/intro_topi.html | 2 +-
docs/tutorial/sg_execution_times.html | 22 +-
docs/tutorial/tensor_expr_get_started.html | 44 ++--
133 files changed, 873 insertions(+), 849 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 70123e6ba1..1932f7dc08 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 33.978 seconds)
+ **Total running time of the script:** ( 1 minutes 33.728 seconds)
.. _sphx_glr_download_how_to_compile_models_from_darknet.py:
diff --git a/docs/_sources/how_to/compile_models/from_oneflow.rst.txt b/docs/_sources/how_to/compile_models/from_oneflow.rst.txt
index 00ec4f2f6f..9a284c7595 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, 42.8MB/s] 25%|##5 | 10.4M/41.5M [00:00<00:01, 27.5MB/s] 36%|###5 | 14.8M/41.5M [00:00<00:00, 33.2MB/s] 44%|####4 | 18.4M/41.5M [00:00<00:00, 31.5MB/s] 54%|#####3 | 22.3M/41.5M [00:00<00:00, 31.3MB/s] 61%|######1 | 25.4M/41.5M [00:00<00:00, 26.6MB/s] 77%|#######7 | 32.0M/41.5M [00:01<00:00, 28.6MB/s] 92%|#########2| 38.3M/41.5M [00:01<00:00, 25.5MB/s] 100%|##########| 41.5M/41.5M [00:01<00:00, 28.7MB/s]
+ 0%| | 0.00/41.5M [00:00<?, ?B/s] 15%|#5 | 6.33M/41.5M [00:00<00:00, 49.2MB/s] 27%|##6 | 11.0M/41.5M [00:00<00:00, 40.2MB/s] 36%|###5 | 14.9M/41.5M [00:00<00:00, 32.8MB/s] 44%|####3 | 18.1M/41.5M [00:00<00:00, 31.2MB/s] 54%|#####3 | 22.3M/41.5M [00:00<00:00, 31.9MB/s] 61%|######1 | 25.4M/41.5M [00:00<00:00, 27.0MB/s] 77%|#######7 | 32.0M/41.5M [00:01<00:00, 31.1MB/s] 92%|#########2| 38.3M/41.5M [00:01<00:00, 27.3MB/s] 100%|##########| 41.5M/41.5M [00:01<00:00, 30.6MB/s]
diff --git a/docs/_sources/how_to/compile_models/from_paddle.rst.txt b/docs/_sources/how_to/compile_models/from_paddle.rst.txt
index 8df75c9e33..4fa698eec7 100644
--- a/docs/_sources/how_to/compile_models/from_paddle.rst.txt
+++ b/docs/_sources/how_to/compile_models/from_paddle.rst.txt
@@ -207,6 +207,11 @@ Look up prediction top 1 index in 1000 class synset.
+.. rst-class:: sphx-glr-timing
+
+ **Total running time of the script:** ( 1 minutes 2.583 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 2369ccccfb..bf0b2ba298 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] 17%|#7 | 7.73M/44.7M [00:00<00:00, 81.0MB/s] 35%|###4 | 15.5M/44.7M [00:00<00:00, 42.1MB/s] 54%|#####3 | 24.0M/44.7M [00:00<00:00, 52.7MB/s] 72%|#######1 | 32.0M/44.7M [00:00<00:00, 49.0MB/s] 86%|########5 | 38.3M/44.7M [00:00<00:00, 49.2MB/s] 97%|#########7| 43.3M/44.7M [00:00<00:00, 48.5MB/s] 100%|##########| 44.7M/44.7M [00:00<00:00, 48.8MB/s]
+ 0%| | 0.00/44.7M [00:00<?, ?B/s] 14%|#4 | 6.30M/44.7M [00:00<00:00, 49.9MB/s] 25%|##4 | 11.1M/44.7M [00:00<00:01, 34.8MB/s] 33%|###2 | 14.6M/44.7M [00:00<00:00, 35.1MB/s] 40%|#### | 18.0M/44.7M [00:00<00:00, 32.8MB/s] 54%|#####3 | 24.0M/44.7M [00:00<00:00, 38.4MB/s] 68%|######7 | 30.2M/44.7M [00:00<00:00, 41.6MB/s] 77%|#######6 | 34.2M/44.7M [00:01<00:00, 30.5MB/s] 90%|########9 | 40.0M/44.7M [00:01<00:00, 32.6MB/s] 100%|##########| 44.7M/44.7M [00:01<00:00, 38.1MB/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 1e7e0f17b7..083e96a56c 100644
--- a/docs/_sources/how_to/compile_models/from_tensorflow.rst.txt
+++ b/docs/_sources/how_to/compile_models/from_tensorflow.rst.txt
@@ -430,7 +430,7 @@ Run the corresponding model on tensorflow
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 29.348 seconds)
+ **Total running time of the script:** ( 1 minutes 30.092 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 917de7e82e..2eff53b38c 100644
--- a/docs/_sources/how_to/compile_models/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/compile_models/sg_execution_times.rst.txt
@@ -5,24 +5,24 @@
Computation times
=================
-**06:31.891** total execution time for **how_to_compile_models** files:
+**06:37.252** total execution time for **how_to_compile_models** files:
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_darknet.py` (``from_darknet.py``) | 01:33.978 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_darknet.py` (``from_darknet.py``) | 01:33.728 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_tensorflow.py` (``from_tensorflow.py``) | 01:29.348 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_tensorflow.py` (``from_tensorflow.py``) | 01:30.092 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_paddle.py` (``from_paddle.py``) | 00:59.782 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_paddle.py` (``from_paddle.py``) | 01:02.583 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_oneflow.py` (``from_oneflow.py``) | 00:41.960 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_oneflow.py` (``from_oneflow.py``) | 00:43.645 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_coreml.py` (``from_coreml.py``) | 00:36.555 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_coreml.py` (``from_coreml.py``) | 00:36.549 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_keras.py` (``from_keras.py``) | 00:27.541 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_pytorch.py` (``from_pytorch.py``) | 00:28.353 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_pytorch.py` (``from_pytorch.py``) | 00:27.397 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_keras.py` (``from_keras.py``) | 00:27.571 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_tflite.py` (``from_tflite.py``) | 00:12.504 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_tflite.py` (``from_tflite.py``) | 00:11.910 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_onnx.py` (``from_onnx.py``) | 00:02.827 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_onnx.py` (``from_onnx.py``) | 00:02.821 | 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 9d6dd52ace..3bc50e1b65 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)
- 3991.4719 3988.9872 4011.1365 3987.8510 6.6811
+ 4059.2602 4058.6477 4065.8484 4057.1226 2.4548
@@ -681,7 +681,7 @@ well as provides information about the model's performance
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 16.485 seconds)
+ **Total running time of the script:** ( 1 minutes 17.551 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 b2342fc49f..8426f3303d 100644
--- a/docs/_sources/how_to/deploy_models/deploy_model_on_adreno_tvmc.rst.txt
+++ b/docs/_sources/how_to/deploy_models/deploy_model_on_adreno_tvmc.rst.txt
@@ -127,7 +127,7 @@ Make a Keras Resnet50 Model
.. code-block:: none
Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/resnet/resnet50_weights_tf_dim_ordering_tf_kernels.h5
- 8192/102967424 [..............................] - ETA: 0s 6635520/102967424 [>.............................] - ETA: 1s 8380416/102967424 [=>............................] - ETA: 2s 15024128/102967424 [===>..........................] - ETA: 2s 16769024/102967424 [===>..........................] - ETA: 2s 23412736/102967424 [=====>........................] - ETA: 2s 25157632/102967424 [======>.......................] - ETA: 2s 33546240/102967424 [========>.....................] - ETA: 1s
40189952/102967424 [==========>...................] - ETA: 1s 41312256/102967424 [===========>..................] - ETA: 1s 41934848/102967424 [===========>..................] - ETA: 1s 48578560/102967424 [=============>................] - ETA: 1s 50323456/102967424 [=============>................] - ETA: 1s 56967168/102967424 [===============>..............] - ETA: 1s 58712064/102967424 [================>.............] - ETA: 1s 65355776/102967424 [==================>...........] -
ETA: 1s 67100672/102967424 [==================>...........] - ETA: 1s 69296128/102967424 [===================>..........] - ETA: 1s 73744384/102967424 [====================>.........] - ETA: 1s 75489280/102967424 [====================>.........] - ETA: 1s 79929344/102967424 [======================>.......] - ETA: 0s 82124800/102967424 [======================>.......] - ETA: 0s 83877888/102967424 [=======================>......] - ETA: 0s 90521600/102967424
[=========================>....] - ETA: 0s 92266496/102967424 [=========================>....] - ETA: 0s 100646912/102967424 [============================>.] - ETA: 0s 102850560/102967424 [============================>.] - ETA: 0s 102967424/102967424 [==============================] - 4s 0us/step
+ 8192/102967424 [..............................] - ETA: 0s 6635520/102967424 [>.............................] - ETA: 1s 8380416/102967424 [=>............................] - ETA: 3s 16769024/102967424 [===>..........................] - ETA: 2s 23412736/102967424 [=====>........................] - ETA: 2s 25157632/102967424 [======>.......................] - ETA: 2s 33546240/102967424 [========>.....................] - ETA: 2s 40189952/102967424 [==========>...................] - ETA: 1s
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ETA: 0s 82124800/102967424 [======================>.......] - ETA: 0s 83877888/102967424 [=======================>......] - ETA: 0s 86671360/102967424 [========================>.....] - ETA: 0s 90521600/102967424 [=========================>....] - ETA: 0s 92266496/102967424 [=========================>....] - ETA: 0s 98910208/102967424 [===========================>..] - ETA: 0s 100646912/102967424 [============================>.] - ETA: 0s 102850560/102967424
[============================>.] - ETA: 0s 102967424/102967424 [==============================] - 3s 0us/step
diff --git a/docs/_sources/how_to/deploy_models/deploy_model_on_android.rst.txt b/docs/_sources/how_to/deploy_models/deploy_model_on_android.rst.txt
index c251a1fa8f..fafa7b5270 100644
--- a/docs/_sources/how_to/deploy_models/deploy_model_on_android.rst.txt
+++ b/docs/_sources/how_to/deploy_models/deploy_model_on_android.rst.txt
@@ -437,7 +437,7 @@ Execute on TVM
Evaluate inference time cost...
Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 13.9940 13.8139 14.6138 13.6694 0.3736
+ 15.8316 15.7870 16.3903 15.2834 0.3887
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 73d36e195d..b171827b57 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] 8%|8 | 14.3M/170M [00:00<00:01, 146MB/s] 17%|#6 | 28.2M/170M [00:00<00:01, 90.9MB/s] 28%|##8 | 48.0M/170M [00:00<00:01, 106MB/s] 35%|###4 | 58.6M/170M [00:00<00:01, 78.2MB/s] 39%|###9 | 66.9M/170M [00:00<00:01, 78.5MB/s] 47%|####7 | 80.0M/170M [00:00<00:01, 87.1MB/s] 64%|######4 | 109M/170M [00:01<00:00, 140MB/s] 73%|#######3 | 124M/170M [00:01<00:00, 125MB/s] 81%|########1 | 138M/170M [00:01<00:00, 101MB/s] 90%|########9 | 153M/170M [00:01<00:00, 113MB/s] 97%|#########7| 165M/170M [00:01<00:00, 109MB/s] 100%|##########| 170M/170M [00:01<00:00, 101MB/s]
+ 0%| | 0.00/170M [00:00<?, ?B/s] 5%|4 | 7.99M/170M [00:00<00:03, 46.7MB/s] 9%|9 | 16.0M/170M [00:00<00:03, 46.7MB/s] 13%|#3 | 22.3M/170M [00:00<00:03, 39.3MB/s] 15%|#5 | 26.1M/170M [00:00<00:03, 37.8MB/s] 19%|#8 | 32.0M/170M [00:00<00:04, 33.5MB/s] 24%|##3 | 40.0M/170M [00:01<00:03, 42.0MB/s] 28%|##8 | 48.0M/170M [00:01<00:02, 49.1MB/s] 33%|###2 | 56.0M/170M [00:01<00:02, 54.4MB/s] 37%|###6 | 62.3M/170M [00:01<00:02, 47.7MB/s] 40%|###9 | 67.2M/170M [00:01<00:02, 40.2MB/s] 42%|####2 | 72.0M/170M [00:01<00:03, 33.6MB/s] 46%|####6 | 78.3M/170M [00:02<00:02, 33.8MB/s] 48%|####8 | 81.8M/170M [00:02<00:02, 33.0MB/s] 51%|##### | 86.3M/170M [00:02<00:03, 26.6MB/s] 52%|#####2 | 89.1M/170M [00:02<00:03, 24.9MB/s] 56%|#####5 | 94.3M/170M [00:02<00:02, 29.5MB/s] 57%|#####7 | 97.4M/170M [00:02<00:02, 29.5MB/
s] 60%|###### | 102M/170M [00:02<00:02, 33.1MB/s] 62%|######2 | 106M/170M [00:03<00:02, 29.6MB/s] 66%|######5 | 112M/170M [00:03<00:01, 31.0MB/s] 70%|######9 | 118M/170M [00:03<00:01, 31.9MB/s] 71%|#######1 | 121M/170M [00:03<00:01, 27.9MB/s] 74%|#######4 | 126M/170M [00:03<00:01, 29.9MB/s] 76%|#######6 | 129M/170M [00:03<00:01, 27.0MB/s] 80%|######## | 136M/170M [00:04<00:01, 31.6MB/s] 85%|########4 | 144M/170M [00:04<00:00, 38.0MB/s] 88%|########7 | 149M/170M [00:04<00:00, 37.0MB/s] 90%|########9 | 153M/170M [00:04<00:00, 36.2MB/s] 93%|#########3| 158M/170M [00:04<00:00, 34.7MB/s] 95%|#########5| 162M/170M [00:04<00:00, 28.7MB/s] 99%|#########8| 168M/170M [00:05<00:00, 33.1MB/s] 100%|##########| 170M/170M [00:05<00:00, 34.7MB/s]
/venv/apache-tvm-py3.8/lib/python3.8/site-packages/torch/nn/functional.py:3912: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
(torch.floor((input.size(i + 2).float() * torch.tensor(scale_factors[i], dtype=torch.float32)).float()))
/venv/apache-tvm-py3.8/lib/python3.8/site-packages/torchvision/ops/boxes.py:157: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
@@ -292,7 +292,7 @@ Get boxes with score larger than 0.9
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 3 minutes 21.696 seconds)
+ **Total running time of the script:** ( 3 minutes 28.448 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 376d406412..944ee7bf78 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] 47%|####6 | 6.30M/13.6M [00:00<00:00, 33.2MB/s] 70%|######9 | 9.48M/13.6M [00:00<00:00, 29.7MB/s] 90%|######### | 12.2M/13.6M [00:00<00:00, 24.3MB/s] 100%|##########| 13.6M/13.6M [00:00<00:00, 28.8MB/s]
+ 0%| | 0.00/13.6M [00:00<?, ?B/s] 47%|####6 | 6.31M/13.6M [00:00<00:00, 50.2MB/s] 82%|########1 | 11.1M/13.6M [00:00<00:00, 42.0MB/s] 100%|##########| 13.6M/13.6M [00:00<00:00, 35.6MB/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)
- 85.9703 85.9319 86.8283 85.6115 0.1936
+ 87.3317 87.2874 88.2684 86.9352 0.2639
@@ -457,7 +457,7 @@ TODO
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 24.481 seconds)
+ **Total running time of the script:** ( 1 minutes 26.126 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 cc71e18b5e..d2999ddc45 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)
- 108.1426 107.9828 109.3475 107.0491 0.5257
+ 107.5189 107.9356 112.5378 105.0232 1.2191
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 4b173eefee..f83c18afae 100644
--- a/docs/_sources/how_to/deploy_models/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/deploy_models/sg_execution_times.rst.txt
@@ -5,24 +5,24 @@
Computation times
=================
-**09:24.693** total execution time for **how_to_deploy_models** files:
+**09:35.800** 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``) | 03:21.696 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_object_detection_pytorch.py` (``deploy_object_detection_pytorch.py``) | 03:28.448 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized.py` (``deploy_prequantized.py``) | 01:24.481 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized.py` (``deploy_prequantized.py``) | 01:26.126 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_adreno.py` (``deploy_model_on_adreno.py``) | 01:16.485 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_adreno.py` (``deploy_model_on_adreno.py``) | 01:17.551 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized_tflite.py` (``deploy_prequantized_tflite.py``) | 00:49.788 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized_tflite.py` (``deploy_prequantized_tflite.py``) | 00:49.960 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_android.py` (``deploy_model_on_android.py``) | 00:48.270 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_android.py` (``deploy_model_on_android.py``) | 00:49.151 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_adreno_tvmc.py` (``deploy_model_on_adreno_tvmc.py``) | 00:46.943 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_adreno_tvmc.py` (``deploy_model_on_adreno_tvmc.py``) | 00:46.319 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_nano.py` (``deploy_model_on_nano.py``) | 00:28.552 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_rasp.py` (``deploy_model_on_rasp.py``) | 00:29.129 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_rasp.py` (``deploy_model_on_rasp.py``) | 00:28.469 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_nano.py` (``deploy_model_on_nano.py``) | 00:29.106 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_sparse.py` (``deploy_sparse.py``) | 00:00.010 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_sparse.py` (``deploy_sparse.py``) | 00:00.008 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/docs/_sources/how_to/extend_tvm/sg_execution_times.rst.txt b/docs/_sources/how_to/extend_tvm/sg_execution_times.rst.txt
index 3239d43337..f1451dafd3 100644
--- a/docs/_sources/how_to/extend_tvm/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/extend_tvm/sg_execution_times.rst.txt
@@ -5,12 +5,12 @@
Computation times
=================
-**00:03.928** total execution time for **how_to_extend_tvm** files:
+**00:03.965** total execution time for **how_to_extend_tvm** files:
+-------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_extend_tvm_use_pass_instrument.py` (``use_pass_instrument.py``) | 00:02.763 | 0.0 MB |
+| :ref:`sphx_glr_how_to_extend_tvm_use_pass_instrument.py` (``use_pass_instrument.py``) | 00:02.816 | 0.0 MB |
+-------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_extend_tvm_use_pass_infra.py` (``use_pass_infra.py``) | 00:01.158 | 0.0 MB |
+| :ref:`sphx_glr_how_to_extend_tvm_use_pass_infra.py` (``use_pass_infra.py``) | 00:01.142 | 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 1d8529e945..5202ca6613 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: 24816us [24816us] (48.62%; 48.62%)
- FoldScaleAxis: 26219us [8us] (51.38%; 51.38%)
- FoldConstant: 26211us [1802us] (51.36%; 99.97%)
- InferType: 24410us [24410us] (47.83%; 93.13%)
+ InferType: 25321us [25321us] (48.62%; 48.62%)
+ FoldScaleAxis: 26762us [8us] (51.38%; 51.38%)
+ FoldConstant: 26754us [1784us] (51.37%; 99.97%)
+ InferType: 24970us [24970us] (47.94%; 93.33%)
@@ -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: 24530us [24530us] (48.41%; 48.41%)
- FoldScaleAxis: 26145us [8us] (51.59%; 51.59%)
- FoldConstant: 26137us [1826us] (51.58%; 99.97%)
- InferType: 24311us [24311us] (47.97%; 93.01%)
+ InferType: 24871us [24871us] (48.34%; 48.34%)
+ FoldScaleAxis: 26577us [7us] (51.66%; 51.66%)
+ FoldConstant: 26570us [1865us] (51.65%; 99.97%)
+ InferType: 24705us [24705us] (48.02%; 92.98%)
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 71f375ae21..41198cf47e 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: 53.460990 ms
+ Convolution: 53.501502 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 b9d7e8e60e..0bd43c26c7 100644
--- a/docs/_sources/how_to/optimize_operators/opt_conv_tensorcore.rst.txt
+++ b/docs/_sources/how_to/optimize_operators/opt_conv_tensorcore.rst.txt
@@ -598,7 +598,7 @@ be able to run on our build server
.. code-block:: none
- conv2d with tensor core: 12.271648 ms
+ conv2d with tensor core: 12.265254 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 9cc779c295..58480de466 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: 0.013877
- Baseline: 3.409652
+ Numpy running time: 0.017896
+ Baseline: 3.354469
@@ -227,7 +227,7 @@ fill 32 * 32 * sizeof(float) which is 4KB in the cache whose total size is 32KB
.. code-block:: none
- Opt1: 0.279256
+ Opt1: 0.291704
@@ -318,7 +318,7 @@ In this tutorial, we chose to vectorize the inner loop row data since it is cach
.. code-block:: none
- Opt2: 0.268241
+ Opt2: 0.272779
@@ -406,7 +406,7 @@ the access pattern for A matrix is more cache friendly.
.. code-block:: none
- Opt3: 0.109007
+ Opt3: 0.114164
@@ -523,7 +523,7 @@ flattening.
.. code-block:: none
- Opt4: 0.101402
+ Opt4: 0.109428
@@ -635,7 +635,7 @@ write to C when all the block results are ready.
.. code-block:: none
- Opt5: 0.094372
+ Opt5: 0.110070
@@ -748,7 +748,7 @@ Furthermore, we can also utilize multi-core processors to do the thread-level pa
.. code-block:: none
- Opt6: 0.112612
+ Opt6: 0.130316
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 6aae704747..b440d932c8 100644
--- a/docs/_sources/how_to/optimize_operators/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/optimize_operators/sg_execution_times.rst.txt
@@ -5,12 +5,12 @@
Computation times
=================
-**00:31.491** total execution time for **how_to_optimize_operators** files:
+**00:33.434** total execution time for **how_to_optimize_operators** files:
+-----------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_optimize_operators_opt_gemm.py` (``opt_gemm.py``) | 00:28.584 | 0.0 MB |
+| :ref:`sphx_glr_how_to_optimize_operators_opt_gemm.py` (``opt_gemm.py``) | 00:30.368 | 0.0 MB |
+-----------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_optimize_operators_opt_conv_tensorcore.py` (``opt_conv_tensorcore.py``) | 00:01.763 | 0.0 MB |
+| :ref:`sphx_glr_how_to_optimize_operators_opt_conv_tensorcore.py` (``opt_conv_tensorcore.py``) | 00:01.807 | 0.0 MB |
+-----------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_optimize_operators_opt_conv_cuda.py` (``opt_conv_cuda.py``) | 00:01.144 | 0.0 MB |
+| :ref:`sphx_glr_how_to_optimize_operators_opt_conv_cuda.py` (``opt_conv_cuda.py``) | 00:01.259 | 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 af19afd795..3c1c282bee 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
=================
-**03:28.744** total execution time for **how_to_tune_with_autoscheduler** files:
+**03:32.107** 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``) | 01:30.204 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_x86.py` (``tune_network_x86.py``) | 01:31.621 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_cuda.py` (``tune_network_cuda.py``) | 01:10.476 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_cuda.py` (``tune_network_cuda.py``) | 01:10.721 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_arm.py` (``tune_network_arm.py``) | 00:17.202 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_arm.py` (``tune_network_arm.py``) | 00:17.498 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_mali.py` (``tune_network_mali.py``) | 00:16.001 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_mali.py` (``tune_network_mali.py``) | 00:16.165 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_conv2d_layer_cuda.py` (``tune_conv2d_layer_cuda.py``) | 00:14.762 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_conv2d_layer_cuda.py` (``tune_conv2d_layer_cuda.py``) | 00:15.999 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_sparse_x86.py` (``tune_sparse_x86.py``) | 00:00.098 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_sparse_x86.py` (``tune_sparse_x86.py``) | 00:00.103 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/docs/_sources/how_to/tune_with_autoscheduler/tune_conv2d_layer_cuda.rst.txt b/docs/_sources/how_to/tune_with_autoscheduler/tune_conv2d_layer_cuda.rst.txt
index d7367b259c..88257b7c33 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: 0.339 ms
+ Execution time of this operator: 0.340 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 41c1643981..40b0ce52ec 100644
--- a/docs/_sources/how_to/tune_with_autoscheduler/tune_network_cuda.rst.txt
+++ b/docs/_sources/how_to/tune_with_autoscheduler/tune_network_cuda.rst.txt
@@ -633,7 +633,7 @@ so we can read the log file and load the best schedules.
Evaluate inference time cost...
Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 3.2146 3.2148 3.2149 3.2140 0.0004
+ 3.2052 3.2052 3.2056 3.2049 0.0003
@@ -660,7 +660,7 @@ Other Tips
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 10.476 seconds)
+ **Total running time of the script:** ( 1 minutes 10.721 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 f29f6da9ca..81a23f5dd9 100644
--- a/docs/_sources/how_to/tune_with_autoscheduler/tune_network_x86.rst.txt
+++ b/docs/_sources/how_to/tune_with_autoscheduler/tune_network_x86.rst.txt
@@ -655,7 +655,7 @@ so we can read the log file and load the best schedules.
Evaluate inference time cost...
Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 700.8062 700.6653 701.5602 700.1931 0.5669
+ 740.6395 740.4472 741.3049 740.1665 0.4842
@@ -682,7 +682,7 @@ Other Tips
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 30.204 seconds)
+ **Total running time of the script:** ( 1 minutes 31.621 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 2addb862ee..98d58e7184 100644
--- a/docs/_sources/how_to/tune_with_autotvm/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/tune_with_autotvm/sg_execution_times.rst.txt
@@ -5,12 +5,12 @@
Computation times
=================
-**00:22.685** total execution time for **how_to_tune_with_autotvm** files:
+**00:23.997** 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``) | 00:22.650 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_conv2d_cuda.py` (``tune_conv2d_cuda.py``) | 00:23.961 | 0.0 MB |
+--------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_x86.py` (``tune_relay_x86.py``) | 00:00.020 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_x86.py` (``tune_relay_x86.py``) | 00:00.021 | 0.0 MB |
+--------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_cuda.py` (``tune_relay_cuda.py``) | 00:00.005 | 0.0 MB |
+--------------------------------------------------------------------------------------------------+-----------+--------+
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 2ab4028ef6..af284e010a 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: 0.037119
+ Time cost of this operator: 0.037234
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 a8fe2f0b0f..245ae0577c 100644
--- a/docs/_sources/how_to/work_with_microtvm/micro_autotune.rst.txt
+++ b/docs/_sources/how_to/work_with_microtvm/micro_autotune.rst.txt
@@ -360,10 +360,10 @@ Timing the untuned program
########## Build without Autotuning ##########
Node Name Ops Time(us) Time(%) Shape Inputs Outputs Measurements(us)
--------- --- -------- ------- ----- ------ ------- ----------------
- tvmgen_default_fused_nn_contrib_conv2d_NCHWc tvmgen_default_fused_nn_contrib_conv2d_NCHWc 294.1 98.727 (1, 2, 10, 10, 3) 2 1 [294.1]
- tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 2.868 0.963 (1, 6, 10, 10) 1 1 [2.868]
- tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.925 0.31 (1, 1, 10, 10, 3) 1 1 [0.925]
- Total_time - 297.892 - - - - -
+ tvmgen_default_fused_nn_contrib_conv2d_NCHWc tvmgen_default_fused_nn_contrib_conv2d_NCHWc 312.6 98.776 (1, 2, 10, 10, 3) 2 1 [312.6]
+ tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 2.929 0.925 (1, 6, 10, 10) 1 1 [2.929]
+ tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.944 0.298 (1, 1, 10, 10, 3) 1 1 [0.944]
+ Total_time - 316.473 - - - - -
@@ -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 97.938 97.132 (1, 6, 10, 10, 1) 2 1 [97.938]
- tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 1.952 1.936 (1, 6, 10, 10) 1 1 [1.952]
- tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.94 0.932 (1, 1, 10, 10, 3) 1 1 [0.94]
- Total_time - 100.83 - - - - -
+ tvmgen_default_fused_nn_contrib_conv2d_NCHWc tvmgen_default_fused_nn_contrib_conv2d_NCHWc 103.2 97.502 (1, 6, 10, 10, 1) 2 1 [103.2]
+ tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 1.716 1.622 (1, 6, 10, 10) 1 1 [1.716]
+ tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.927 0.876 (1, 1, 10, 10, 3) 1 1 [0.927]
+ Total_time - 105.844 - - - - -
@@ -439,7 +439,7 @@ Timing the tuned program
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 23.459 seconds)
+ **Total running time of the script:** ( 1 minutes 24.793 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 eb91aa42f3..36c9f65521 100644
--- a/docs/_sources/how_to/work_with_microtvm/micro_pytorch.rst.txt
+++ b/docs/_sources/how_to/work_with_microtvm/micro_pytorch.rst.txt
@@ -118,7 +118,7 @@ download a cat image and preprocess it to use as the model input.
/venv/apache-tvm-py3.8/lib/python3.8/site-packages/torch/ao/quantization/utils.py:310: UserWarning: must run observer before calling calculate_qparams. Returning default values.
warnings.warn(
Downloading: "https://download.pytorch.org/models/quantized/mobilenet_v2_qnnpack_37f702c5.pth" to /workspace/.cache/torch/hub/checkpoints/mobilenet_v2_qnnpack_37f702c5.pth
- 0%| | 0.00/3.42M [00:00<?, ?B/s] 61%|###### | 2.09M/3.42M [00:00<00:00, 12.2MB/s] 100%|##########| 3.42M/3.42M [00:00<00:00, 19.4MB/s]
+ 0%| | 0.00/3.42M [00:00<?, ?B/s] 61%|###### | 2.09M/3.42M [00:00<00:00, 7.90MB/s] 100%|##########| 3.42M/3.42M [00:00<00:00, 12.7MB/s]
/venv/apache-tvm-py3.8/lib/python3.8/site-packages/torch/_utils.py:314: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
device=storage.device,
/workspace/python/tvm/relay/frontend/pytorch_utils.py:47: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.
@@ -326,7 +326,7 @@ Look up prediction top 1 index in 1000 class synset.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 25.066 seconds)
+ **Total running time of the script:** ( 1 minutes 28.010 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 771c3ec07d..4f0e135c18 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/tmprl1835hm/images/random'
+ '/tmp/tmp2b618u_z/images/random'
@@ -317,8 +317,8 @@ objects to other stuff? We can display some examples from our datasets using ``m
.. code-block:: none
- /tmp/tmprl1835hm/images/target contains 8144 images
- /tmp/tmprl1835hm/images/random contains 5000 images
+ /tmp/tmp2b618u_z/images/target contains 8144 images
+ /tmp/tmp2b618u_z/images/random contains 5000 images
@@ -493,13 +493,13 @@ the time on our validation set).
.. code-block:: none
Epoch 1/3
- 328/328 - 38s - loss: 0.2314 - accuracy: 0.9226 - val_loss: 0.1612 - val_accuracy: 0.9471 - 38s/epoch - 116ms/step
+ 328/328 - 39s - loss: 0.2257 - accuracy: 0.9218 - val_loss: 0.1161 - val_accuracy: 0.9569 - 39s/epoch - 118ms/step
Epoch 2/3
- 328/328 - 34s - loss: 0.1026 - accuracy: 0.9623 - val_loss: 0.1138 - val_accuracy: 0.9615 - 34s/epoch - 105ms/step
+ 328/328 - 35s - loss: 0.1010 - accuracy: 0.9632 - val_loss: 0.0957 - val_accuracy: 0.9671 - 35s/epoch - 107ms/step
Epoch 3/3
- 328/328 - 34s - loss: 0.0646 - accuracy: 0.9768 - val_loss: 0.1049 - val_accuracy: 0.9660 - 34s/epoch - 104ms/step
+ 328/328 - 35s - loss: 0.0676 - accuracy: 0.9742 - val_loss: 0.1324 - val_accuracy: 0.9615 - 35s/epoch - 108ms/step
- <keras.callbacks.History object at 0x7f55d2b4e580>
+ <keras.callbacks.History object at 0x7f274b669bb0>
@@ -860,7 +860,7 @@ Arduino tutorial for how to do that `on GitHub <https://github.com/guberti/tvm-a
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 4 minutes 49.323 seconds)
+ **Total running time of the script:** ( 5 minutes 0.272 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 513a6ff54b..9cde15794b 100644
--- a/docs/_sources/how_to/work_with_microtvm/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/work_with_microtvm/sg_execution_times.rst.txt
@@ -5,20 +5,20 @@
Computation times
=================
-**08:06.286** total execution time for **how_to_work_with_microtvm** files:
+**08:22.382** total execution time for **how_to_work_with_microtvm** files:
+-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_train.py` (``micro_train.py``) | 04:49.323 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_train.py` (``micro_train.py``) | 05:00.272 | 0.0 MB |
+-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_pytorch.py` (``micro_pytorch.py``) | 01:25.066 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_pytorch.py` (``micro_pytorch.py``) | 01:28.010 | 0.0 MB |
+-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_autotune.py` (``micro_autotune.py``) | 01:23.459 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_autotune.py` (``micro_autotune.py``) | 01:24.793 | 0.0 MB |
+-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_aot.py` (``micro_aot.py``) | 00:11.897 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_aot.py` (``micro_aot.py``) | 00:12.187 | 0.0 MB |
+-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_custom_ide.py` (``micro_custom_ide.py``) | 00:08.608 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_custom_ide.py` (``micro_custom_ide.py``) | 00:08.735 | 0.0 MB |
+-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_tflite.py` (``micro_tflite.py``) | 00:07.932 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_tflite.py` (``micro_tflite.py``) | 00:08.385 | 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 68fab3b082..980e0917f1 100644
--- a/docs/_sources/how_to/work_with_relay/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/work_with_relay/sg_execution_times.rst.txt
@@ -5,14 +5,14 @@
Computation times
=================
-**00:37.082** total execution time for **how_to_work_with_relay** files:
+**00:37.899** total execution time for **how_to_work_with_relay** files:
+----------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_relay_using_pipeline_executor.py` (``using_pipeline_executor.py``) | 00:32.234 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_relay_using_pipeline_executor.py` (``using_pipeline_executor.py``) | 00:32.840 | 0.0 MB |
+----------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_relay_using_external_lib.py` (``using_external_lib.py``) | 00:03.105 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_relay_using_external_lib.py` (``using_external_lib.py``) | 00:03.146 | 0.0 MB |
+----------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_relay_build_gcn.py` (``build_gcn.py``) | 00:01.737 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_relay_build_gcn.py` (``build_gcn.py``) | 00:01.906 | 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 |
+| :ref:`sphx_glr_how_to_work_with_relay_using_relay_viz.py` (``using_relay_viz.py``) | 00:00.007 | 0.0 MB |
+----------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/docs/_sources/how_to/work_with_schedules/intrin_math.rst.txt b/docs/_sources/how_to/work_with_schedules/intrin_math.rst.txt
index 9df0a608da..f82e698c90 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 0x7f57bc1ab550>
+ <function my_cuda_math_rule at 0x7f2922579160>
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 e3e8412e72..d54c504d61 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
=================
-**00:05.468** total execution time for **how_to_work_with_schedules** files:
+**00:05.389** total execution time for **how_to_work_with_schedules** files:
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_intrin_math.py` (``intrin_math.py``) | 00:02.484 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_intrin_math.py` (``intrin_math.py``) | 00:02.563 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_tensorize.py` (``tensorize.py``) | 00:01.312 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_tensorize.py` (``tensorize.py``) | 00:01.096 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_reduction.py` (``reduction.py``) | 00:00.704 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_reduction.py` (``reduction.py``) | 00:00.732 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_scan.py` (``scan.py``) | 00:00.690 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_scan.py` (``scan.py``) | 00:00.710 | 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``) | 00:00.119 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_schedule_primitives.py` (``schedule_primitives.py``) | 00:00.068 | 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``) | 00:00.065 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_tedd.py` (``tedd.py``) | 00:00.066 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_tuple_inputs.py` (``tuple_inputs.py``) | 00:00.031 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_tuple_inputs.py` (``tuple_inputs.py``) | 00:00.033 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/docs/_sources/topic/vta/tutorials/frontend/deploy_detection.rst.txt b/docs/_sources/topic/vta/tutorials/frontend/deploy_detection.rst.txt
index 01f4e7ac60..f11a76ac13 100644
--- a/docs/_sources/topic/vta/tutorials/frontend/deploy_detection.rst.txt
+++ b/docs/_sources/topic/vta/tutorials/frontend/deploy_detection.rst.txt
@@ -337,7 +337,7 @@ The compilation steps are:
/workspace/python/tvm/relay/build_module.py:345: DeprecationWarning: Please use input parameter mod (tvm.IRModule) instead of deprecated parameter mod (tvm.relay.function.Function)
warnings.warn(
- yolov3-tiny inference graph built in 25.42s!
+ yolov3-tiny inference graph built in 25.93s!
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 13673a901a..a739da9c94 100644
--- a/docs/_sources/topic/vta/tutorials/frontend/sg_execution_times.rst.txt
+++ b/docs/_sources/topic/vta/tutorials/frontend/sg_execution_times.rst.txt
@@ -5,8 +5,8 @@
Computation times
=================
-**00:58.264** total execution time for **topic_vta_tutorials_frontend** files:
+**00:59.432** total execution time for **topic_vta_tutorials_frontend** files:
+--------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_frontend_deploy_detection.py` (``deploy_detection.py``) | 00:58.264 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_frontend_deploy_detection.py` (``deploy_detection.py``) | 00:59.432 | 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 d4e19ed825..19418a5905 100644
--- a/docs/_sources/topic/vta/tutorials/optimize/sg_execution_times.rst.txt
+++ b/docs/_sources/topic/vta/tutorials/optimize/sg_execution_times.rst.txt
@@ -5,10 +5,10 @@
Computation times
=================
-**00:03.192** total execution time for **topic_vta_tutorials_optimize** files:
+**00:03.249** total execution time for **topic_vta_tutorials_optimize** files:
+--------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_optimize_convolution_opt.py` (``convolution_opt.py``) | 00:02.721 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_optimize_convolution_opt.py` (``convolution_opt.py``) | 00:02.759 | 0.0 MB |
+--------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_optimize_matrix_multiply_opt.py` (``matrix_multiply_opt.py``) | 00:00.472 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_optimize_matrix_multiply_opt.py` (``matrix_multiply_opt.py``) | 00:00.490 | 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 4bd2e8d4f2..5d91aa2ae7 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
=================
-**00:00.778** total execution time for **topic_vta_tutorials** files:
+**00:00.810** total execution time for **topic_vta_tutorials** files:
+---------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_matrix_multiply.py` (``matrix_multiply.py``) | 00:00.402 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_matrix_multiply.py` (``matrix_multiply.py``) | 00:00.420 | 0.0 MB |
+---------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_vta_get_started.py` (``vta_get_started.py``) | 00:00.376 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_vta_get_started.py` (``vta_get_started.py``) | 00:00.391 | 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 b3867e42c0..9cc3d80c41 100644
--- a/docs/_sources/tutorial/auto_scheduler_matmul_x86.rst.txt
+++ b/docs/_sources/tutorial/auto_scheduler_matmul_x86.rst.txt
@@ -318,7 +318,7 @@ We build the binary and check its correctness and performance.
.. code-block:: none
- Execution time of this operator: 91.665 ms
+ Execution time of this operator: 92.537 ms
@@ -434,7 +434,7 @@ operations.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 21.145 seconds)
+ **Total running time of the script:** ( 1 minutes 25.299 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 611c6e02c0..0aa0575006 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: 14.32/14.32 result: MeasureResult(costs=(0.018740483199999998,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6120686531066895, timestamp=1708597752.7817757) [('tile_y', [-1, 128]), ('tile_x', [-1, 64])],None,67
- No: 2 GFLOPS: 9.27/14.32 result: MeasureResult(costs=(0.0289431132,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7348239421844482, timestamp=1708597753.500521) [('tile_y', [-1, 256]), ('tile_x', [-1, 16])],None,48
- No: 3 GFLOPS: 12.08/14.32 result: MeasureResult(costs=(0.022224566600000002,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6474599838256836, timestamp=1708597754.1131027) [('tile_y', [-1, 4]), ('tile_x', [-1, 128])],None,72
- No: 4 GFLOPS: 9.13/14.32 result: MeasureResult(costs=(0.029405623000000002,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.729149580001831, timestamp=1708597754.8457377) [('tile_y', [-1, 512]), ('tile_x', [-1, 256])],None,89
- No: 5 GFLOPS: 10.79/14.32 result: MeasureResult(costs=(0.0248730222,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6983418464660645, timestamp=1708597755.8783028) [('tile_y', [-1, 8]), ('tile_x', [-1, 64])],None,63
- No: 6 GFLOPS: 15.19/15.19 result: MeasureResult(costs=(0.0176763126,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.8060691356658936, timestamp=1708597756.418897) [('tile_y', [-1, 64]), ('tile_x', [-1, 64])],None,66
- No: 7 GFLOPS: 4.44/15.19 result: MeasureResult(costs=(0.060467903200000006,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.2252025604248047, timestamp=1708597757.6484241) [('tile_y', [-1, 4]), ('tile_x', [-1, 2])],None,12
- No: 8 GFLOPS: 7.66/15.19 result: MeasureResult(costs=(0.0350281262,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.8128862380981445, timestamp=1708597758.462843) [('tile_y', [-1, 2]), ('tile_x', [-1, 8])],None,31
- No: 9 GFLOPS: 9.42/15.19 result: MeasureResult(costs=(0.028484761600000002,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6829743385314941, timestamp=1708597759.2563026) [('tile_y', [-1, 8]), ('tile_x', [-1, 16])],None,43
- No: 10 GFLOPS: 13.19/15.19 result: MeasureResult(costs=(0.0203471258,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.554802656173706, timestamp=1708597759.8413284) [('tile_y', [-1, 8]), ('tile_x', [-1, 512])],None,93
+ No: 1 GFLOPS: 10.57/10.57 result: MeasureResult(costs=(0.02539615,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.667186975479126, timestamp=1708609110.3079243) [('tile_y', [-1, 2]), ('tile_x', [-1, 64])],None,61
+ No: 2 GFLOPS: 10.75/10.75 result: MeasureResult(costs=(0.02497338,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6974236965179443, timestamp=1708609110.969929) [('tile_y', [-1, 4]), ('tile_x', [-1, 128])],None,72
+ No: 3 GFLOPS: 1.99/10.75 result: MeasureResult(costs=(0.13476942679999998,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.402428388595581, timestamp=1708609113.377519) [('tile_y', [-1, 8]), ('tile_x', [-1, 1])],None,3
+ No: 4 GFLOPS: 13.79/13.79 result: MeasureResult(costs=(0.019469012,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.5758261680603027, timestamp=1708609113.9527538) [('tile_y', [-1, 16]), ('tile_x', [-1, 128])],None,74
+ No: 5 GFLOPS: 2.11/13.79 result: MeasureResult(costs=(0.12711766279999998,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.2792561054229736, timestamp=1708609116.3984363) [('tile_y', [-1, 4]), ('tile_x', [-1, 1])],None,2
+ No: 6 GFLOPS: 11.63/13.79 result: MeasureResult(costs=(0.0230785632,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6489784717559814, timestamp=1708609117.0205498) [('tile_y', [-1, 128]), ('tile_x', [-1, 32])],None,57
+ No: 7 GFLOPS: 10.64/13.79 result: MeasureResult(costs=(0.025233364399999996,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6624755859375, timestamp=1708609117.6798966) [('tile_y', [-1, 4]), ('tile_x', [-1, 16])],None,42
+ No: 8 GFLOPS: 14.10/14.10 result: MeasureResult(costs=(0.019031461,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6003634929656982, timestamp=1708609118.2385457) [('tile_y', [-1, 128]), ('tile_x', [-1, 64])],None,67
+ No: 9 GFLOPS: 11.29/14.10 result: MeasureResult(costs=(0.0237671796,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6117208003997803, timestamp=1708609118.9605274) [('tile_y', [-1, 64]), ('tile_x', [-1, 256])],None,86
+ No: 10 GFLOPS: 10.65/14.10 result: MeasureResult(costs=(0.025195181,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6273136138916016, timestamp=1708609119.6241844) [('tile_y', [-1, 2]), ('tile_x', [-1, 256])],None,81
diff --git a/docs/_sources/tutorial/autotvm_relay_x86.rst.txt b/docs/_sources/tutorial/autotvm_relay_x86.rst.txt
index 37c3b8a1e0..52d1d9e4fa 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': 464.4068318100108, 'median': 464.3366772500485, 'std': 0.2555413037996094}
+ {'mean': 490.0395544800176, 'median': 490.0826390500242, 'std': 3.0945754273839228}
@@ -582,29 +582,31 @@ the tuning data to.
.. code-block:: none
- [Task 1/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 1/25] Current/Best: 11.88/ 14.36 GFLOPS | Progress: (4/20) | 8.62 s [Task 1/25] Current/Best: 20.24/ 20.24 GFLOPS | Progress: (8/20) | 11.12 s [Task 1/25] Current/Best: 17.16/ 20.24 GFLOPS | Progress: (12/20) | 14.07 s [Task 1/25] Current/Best: 5.90/ 20.24 GFLOPS | Progress: (16/20) | 17.81 s [Task 1/25] Current/Best: 7.42/ 20.24 GFLOPS | Progress: (20/20) | 20.74 s Done.
- [Task 2/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 2/25] Current/Best: 15.98/ 19.99 GFLOPS | Progress: (4/20) | 3.90 s [Task 2/25] Current/Best: 10.83/ 19.99 GFLOPS | Progress: (8/20) | 5.63 s [Task 2/25] Current/Best: 5.47/ 22.36 GFLOPS | Progress: (12/20) | 7.26 s [Task 2/25] Current/Best: 5.24/ 22.36 GFLOPS | Progress: (16/20) | 8.83 s [Task 2/25] Current/Best: 12.61/ 22.36 GFLOPS | Progress: (20/20) | 11.41 s Done.
- [Task 3/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 3/25] Current/Best: 8.07/ 12.76 GFLOPS | Progress: (4/20) | 4.85 s [Task 3/25] Current/Best: 20.79/ 20.79 GFLOPS | Progress: (8/20) | 6.94 s [Task 3/25] Current/Best: 20.88/ 20.88 GFLOPS | Progress: (12/20) | 9.28 s [Task 3/25] Current/Best: 7.15/ 24.68 GFLOPS | Progress: (16/20) | 11.96 s [Task 3/25] Current/Best: 12.91/ 24.68 GFLOPS | Progress: (20/20) | 14.15 s Done.
- [Task 4/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 4/25] Current/Best: 15.87/ 15.87 GFLOPS | Progress: (4/20) | 5.38 s [Task 4/25] Current/Best: 5.27/ 17.36 GFLOPS | Progress: (8/20) | 7.65 s [Task 4/25] Current/Best: 17.41/ 17.41 GFLOPS | Progress: (12/20) | 9.59 s [Task 4/25] Current/Best: 17.06/ 19.34 GFLOPS | Progress: (16/20) | 11.60 s [Task 4/25] Current/Best: 10.54/ 19.34 GFLOPS | Progress: (20/20) | 14.47 s Done.
- [Task 5/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 5/25] Current/Best: 19.39/ 19.39 GFLOPS | Progress: (4/20) | 4.42 s [Task 5/25] Current/Best: 19.13/ 19.39 GFLOPS | Progress: (8/20) | 6.37 s [Task 5/25] Current/Best: 16.16/ 19.39 GFLOPS | Progress: (12/20) | 8.33 s [Task 5/25] Current/Best: 5.35/ 19.39 GFLOPS | Progress: (16/20) | 10.28 s [Task 5/25] Current/Best: 10.88/ 19.39 GFLOPS | Progress: (20/20) | 12.25 s Done.
- [Task 6/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 6/25] Current/Best: 3.76/ 15.66 GFLOPS | Progress: (4/20) | 5.16 s [Task 6/25] Current/Best: 17.71/ 23.97 GFLOPS | Progress: (8/20) | 7.65 s [Task 6/25] Current/Best: 10.94/ 23.97 GFLOPS | Progress: (12/20) | 9.77 s [Task 6/25] Current/Best: 6.75/ 23.97 GFLOPS | Progress: (16/20) | 13.57 s [Task 6/25] Current/Best: 13.43/ 23.97 GFLOPS | Progress: (20/20) | 16.97 s Done.
- [Task 7/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 7/25] Current/Best: 21.31/ 21.66 GFLOPS | Progress: (4/20) | 4.75 s [Task 7/25] Current/Best: 3.24/ 21.66 GFLOPS | Progress: (8/20) | 8.21 s [Task 7/25] Current/Best: 17.91/ 21.66 GFLOPS | Progress: (12/20) | 10.52 s [Task 7/25] Current/Best: 9.25/ 22.68 GFLOPS | Progress: (16/20) | 14.67 s [Task 7/25] Current/Best: 10.93/ 22.68 GFLOPS | Progress: (20/20) | 16.82 s Done.
- [Task 8/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 8/25] Current/Best: 19.90/ 19.90 GFLOPS | Progress: (4/20) | 6.97 s [Task 8/25] Current/Best: 19.35/ 19.90 GFLOPS | Progress: (8/20) | 14.52 s [Task 8/25] Current/Best: 10.74/ 19.90 GFLOPS | Progress: (12/20) | 26.16 s [Task 8/25] Current/Best: 9.56/ 19.90 GFLOPS | Progress: (16/20) | 29.21 s [Task 8/25] Current/Best: 12.96/ 19.90 GFLOPS | Progress: (20/20) | 31.79 s Done.
- [Task 9/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 9/25] Current/Best: 19.04/ 19.04 GFLOPS | Progress: (4/20) | 4.62 s [Task 9/25] Current/Best: 13.28/ 19.43 GFLOPS | Progress: (8/20) | 9.73 s [Task 9/25] Current/Best: 14.65/ 20.62 GFLOPS | Progress: (12/20) | 14.91 s [Task 9/25] Current/Best: 7.74/ 20.62 GFLOPS | Progress: (16/20) | 23.02 s [Task 9/25] Current/Best: 24.35/ 24.35 GFLOPS | Progress: (20/20) | 28.10 s Done.
- [Task 10/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 10/25] Current/Best: 15.84/ 15.93 GFLOPS | Progress: (4/20) | 4.35 s [Task 10/25] Current/Best: 16.42/ 16.42 GFLOPS | Progress: (8/20) | 6.41 s [Task 10/25] Current/Best: 16.97/ 16.97 GFLOPS | Progress: (12/20) | 8.33 s [Task 10/25] Current/Best: 12.54/ 17.25 GFLOPS | Progress: (16/20) | 10.65 s [Task 10/25] Current/Best: 7.71/ 17.25 GFLOPS | Progress: (20/20) | 12.44 s Done.
- [Task 11/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 11/25] Current/Best: 12.79/ 20.63 GFLOPS | Progress: (4/20) | 4.44 s [Task 11/25] Current/Best: 16.64/ 24.91 GFLOPS | Progress: (8/20) | 6.28 s [Task 11/25] Current/Best: 7.25/ 24.91 GFLOPS | Progress: (12/20) | 8.60 s [Task 11/25] Current/Best: 20.27/ 24.91 GFLOPS | Progress: (16/20) | 10.68 s [Task 11/25] Current/Best: 20.06/ 24.91 GFLOPS | Progress: (20/20) | 12.99 s Done.
- [Task 12/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 12/25] Current/Best: 18.61/ 18.61 GFLOPS | Progress: (4/20) | 4.84 s [Task 12/25] Current/Best: 1.67/ 18.61 GFLOPS | Progress: (8/20) | 9.09 s [Task 12/25] Current/Best: 9.24/ 18.61 GFLOPS | Progress: (12/20) | 12.08 s [Task 12/25] Current/Best: 13.17/ 23.59 GFLOPS | Progress: (16/20) | 14.13 s [Task 12/25] Current/Best: 14.73/ 23.59 GFLOPS | Progress: (20/20) | 16.49 s Done.
- [Task 13/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 13/25] Current/Best: 17.68/ 17.68 GFLOPS | Progress: (4/20) | 4.79 s [Task 13/25] Current/Best: 12.59/ 17.68 GFLOPS | Progress: (8/20) | 7.60 s [Task 13/25] Current/Best: 11.84/ 17.68 GFLOPS | Progress: (12/20) | 10.49 s [Task 13/25] Current/Best: 18.56/ 21.16 GFLOPS | Progress: (16/20) | 12.54 s [Task 13/25] Current/Best: 13.14/ 22.98 GFLOPS | Progress: (20/20) | 14.91 s Done.
- [Task 14/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 14/25] Current/Best: 11.54/ 11.54 GFLOPS | Progress: (4/20) | 7.59 s [Task 14/25] Current/Best: 12.62/ 15.31 GFLOPS | Progress: (8/20) | 10.34 s [Task 14/25] Current/Best: 21.36/ 21.36 GFLOPS | Progress: (12/20) | 13.66 s [Task 14/25] Current/Best: 6.46/ 21.36 GFLOPS | Progress: (16/20) | 16.25 s [Task 14/25] Current/Best: 14.29/ 21.36 GFLOPS | Progress: (20/20) | 27.93 s [Task 15/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 15/25] Current/Best: 16.80/ 16.80 GFLOPS | Progress: (4/20) | 6.20 s [Task 15/25] Current/Best: 18.96/ 18.96 GFLOPS | Progress: (8/20) | 8.64 s [Task 15/25] Current/Best: 6.87/ 18.96 GFLOPS | Progress: (12/20) | 12.33 s [Task 15/25] Current/Best: 6.94/ 18.96 GFLOPS | Progress: (16/20) | 14.09 s [Task 15/25] Current/Best: 12.89/ 18.96 GFLOPS | Progress: (20/2
0) | 19.05 s Done.
- [Task 16/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 16/25] Current/Best: 15.22/ 22.43 GFLOPS | Progress: (4/20) | 4.55 s [Task 16/25] Current/Best: 11.36/ 22.43 GFLOPS | Progress: (8/20) | 6.87 s [Task 16/25] Current/Best: 20.61/ 22.43 GFLOPS | Progress: (12/20) | 9.31 s [Task 16/25] Current/Best: 5.11/ 22.43 GFLOPS | Progress: (16/20) | 11.31 s [Task 16/25] Current/Best: 12.69/ 22.43 GFLOPS | Progress: (20/20) | 12.99 s Done.
- [Task 17/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 17/25] Current/Best: 10.74/ 20.76 GFLOPS | Progress: (4/20) | 5.07 s [Task 17/25] Current/Best: 19.69/ 23.95 GFLOPS | Progress: (8/20) | 7.40 s [Task 17/25] Current/Best: 12.96/ 23.95 GFLOPS | Progress: (12/20) | 10.50 s [Task 17/25] Current/Best: 23.69/ 23.95 GFLOPS | Progress: (16/20) | 13.50 s [Task 17/25] Current/Best: 21.28/ 23.95 GFLOPS | Progress: (20/20) | 17.33 s Done.
- [Task 18/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 18/25] Current/Best: 12.55/ 17.86 GFLOPS | Progress: (4/20) | 5.31 s [Task 18/25] Current/Best: 22.44/ 22.44 GFLOPS | Progress: (8/20) | 8.16 s [Task 18/25] Current/Best: 14.35/ 22.44 GFLOPS | Progress: (12/20) | 10.42 s [Task 18/25] Current/Best: 17.55/ 22.44 GFLOPS | Progress: (16/20) | 14.72 s [Task 18/25] Current/Best: 16.96/ 22.44 GFLOPS | Progress: (20/20) | 17.11 s Done.
- [Task 19/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 19/25] Current/Best: 8.64/ 21.12 GFLOPS | Progress: (4/20) | 5.48 s [Task 19/25] Current/Best: 21.10/ 21.12 GFLOPS | Progress: (8/20) | 8.14 s [Task 19/25] Current/Best: 18.90/ 21.12 GFLOPS | Progress: (12/20) | 10.97 s [Task 19/25] Current/Best: 6.83/ 21.12 GFLOPS | Progress: (16/20) | 13.95 s [Task 19/25] Current/Best: 12.50/ 21.12 GFLOPS | Progress: (20/20) | 19.94 s Done.
- [Task 20/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 20/25] Current/Best: 21.54/ 21.54 GFLOPS | Progress: (4/20) | 5.20 s [Task 20/25] Current/Best: 10.93/ 21.54 GFLOPS | Progress: (8/20) | 7.57 s [Task 20/25] Current/Best: 22.53/ 22.53 GFLOPS | Progress: (12/20) | 18.39 s [Task 20/25] Current/Best: 18.75/ 22.53 GFLOPS | Progress: (16/20) | 29.84 s [Task 20/25] Current/Best: 22.18/ 22.56 GFLOPS | Progress: (20/20) | 42.33 s [Task 21/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s Done.
+ [Task 1/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 1/25] Current/Best: 14.42/ 14.42 GFLOPS | Progress: (4/20) | 9.25 s [Task 1/25] Current/Best: 10.04/ 14.42 GFLOPS | Progress: (8/20) | 12.54 s [Task 1/25] Current/Best: 21.15/ 21.15 GFLOPS | Progress: (12/20) | 15.04 s [Task 1/25] Current/Best: 17.27/ 22.83 GFLOPS | Progress: (16/20) | 18.26 s [Task 1/25] Current/Best: 6.89/ 22.83 GFLOPS | Progress: (20/20) | 22.51 s Done.
+ [Task 2/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 2/25] Current/Best: 17.57/ 17.57 GFLOPS | Progress: (4/20) | 3.96 s [Task 2/25] Current/Best: 18.95/ 19.44 GFLOPS | Progress: (8/20) | 5.76 s [Task 2/25] Current/Best: 7.37/ 19.44 GFLOPS | Progress: (12/20) | 7.37 s [Task 2/25] Current/Best: 17.48/ 19.44 GFLOPS | Progress: (16/20) | 9.71 s [Task 2/25] Current/Best: 11.86/ 19.44 GFLOPS | Progress: (20/20) | 11.29 s Done.
+ [Task 3/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 3/25] Current/Best: 12.37/ 22.74 GFLOPS | Progress: (4/20) | 4.53 s [Task 3/25] Current/Best: 19.33/ 22.74 GFLOPS | Progress: (8/20) | 7.85 s [Task 3/25] Current/Best: 21.98/ 22.74 GFLOPS | Progress: (12/20) | 9.95 s [Task 3/25] Current/Best: 5.67/ 22.74 GFLOPS | Progress: (16/20) | 12.55 s [Task 3/25] Current/Best: 19.50/ 22.74 GFLOPS | Progress: (20/20) | 15.02 s Done.
+ [Task 4/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 4/25] Current/Best: 5.53/ 11.30 GFLOPS | Progress: (4/20) | 5.01 s [Task 4/25] Current/Best: 14.38/ 19.72 GFLOPS | Progress: (8/20) | 7.03 s [Task 4/25] Current/Best: 16.13/ 19.72 GFLOPS | Progress: (12/20) | 11.53 s [Task 4/25] Current/Best: 12.97/ 19.72 GFLOPS | Progress: (16/20) | 13.57 s [Task 4/25] Current/Best: 22.94/ 22.94 GFLOPS | Progress: (20/20) | 15.22 s Done.
+ [Task 5/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 5/25] Current/Best: 11.94/ 15.01 GFLOPS | Progress: (4/20) | 4.75 s [Task 5/25] Current/Best: 14.10/ 18.88 GFLOPS | Progress: (8/20) | 6.83 s [Task 5/25] Current/Best: 10.43/ 18.88 GFLOPS | Progress: (12/20) | 8.83 s [Task 5/25] Current/Best: 16.21/ 18.88 GFLOPS | Progress: (16/20) | 10.64 s [Task 5/25] Current/Best: 17.23/ 18.88 GFLOPS | Progress: (20/20) | 12.64 s Done.
+ [Task 6/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 6/25] Current/Best: 5.23/ 13.13 GFLOPS | Progress: (4/20) | 6.85 s [Task 6/25] Current/Best: 12.86/ 17.46 GFLOPS | Progress: (8/20) | 9.33 s [Task 6/25] Current/Best: 8.64/ 17.46 GFLOPS | Progress: (12/20) | 11.93 s [Task 6/25] Current/Best: 9.27/ 17.46 GFLOPS | Progress: (16/20) | 15.02 s [Task 6/25] Current/Best: 9.99/ 17.46 GFLOPS | Progress: (20/20) | 18.68 s Done.
+ [Task 7/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 7/25] Current/Best: 16.03/ 19.30 GFLOPS | Progress: (4/20) | 5.38 s [Task 7/25] Current/Best: 12.28/ 21.97 GFLOPS | Progress: (8/20) | 8.17 s [Task 7/25] Current/Best: 18.55/ 21.97 GFLOPS | Progress: (12/20) | 10.61 s [Task 7/25] Current/Best: 13.19/ 21.97 GFLOPS | Progress: (16/20) | 12.84 s [Task 7/25] Current/Best: 12.64/ 21.97 GFLOPS | Progress: (20/20) | 15.40 s Done.
+ [Task 8/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 8/25] Current/Best: 14.67/ 14.67 GFLOPS | Progress: (4/20) | 6.08 s [Task 8/25] Current/Best: 12.17/ 20.63 GFLOPS | Progress: (8/20) | 8.36 s [Task 8/25] Current/Best: 14.60/ 20.63 GFLOPS | Progress: (12/20) | 20.45 s [Task 8/25] Current/Best: 13.75/ 20.63 GFLOPS | Progress: (16/20) | 24.89 s [Task 8/25] Current/Best: 3.69/ 22.63 GFLOPS | Progress: (20/20) | 28.00 s [Task 9/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 9/25] Current/Best: 12.43/ 23.45 GFLOPS | Progress: (4/20) | 4.22 s [Task 9/25] Current/Best: 6.93/ 23.45 GFLOPS | Progress: (8/20) | 12.19 s [Task 9/25] Current/Best: 9.97/ 23.45 GFLOPS | Progress: (12/20) | 17.83 s [Task 9/25] Current/Best: 10.43/ 23.45 GFLOPS | Progress: (16/20) | 22.94 s [Task 9/25] Current/Best: 8.77/ 23.45 GFLOPS | Progress: (20/2
0) | 34.09 s [Task 10/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 10/25] Current/Best: 12.27/ 16.06 GFLOPS | Progress: (4/20) | 5.35 s [Task 10/25] Current/Best: 13.17/ 16.06 GFLOPS | Progress: (8/20) | 8.09 s [Task 10/25] Current/Best: 14.11/ 18.44 GFLOPS | Progress: (12/20) | 10.17 s [Task 10/25] Current/Best: 9.45/ 20.51 GFLOPS | Progress: (16/20) | 12.79 s [Task 10/25] Current/Best: 3.02/ 20.51 GFLOPS | Progress: (20/20) | 14.88 s Done.
+ [Task 11/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 11/25] Current/Best: 12.51/ 12.51 GFLOPS | Progress: (4/20) | 5.28 s [Task 11/25] Current/Best: 12.87/ 22.82 GFLOPS | Progress: (8/20) | 7.40 s [Task 11/25] Current/Best: 23.67/ 23.67 GFLOPS | Progress: (12/20) | 9.55 s [Task 11/25] Current/Best: 8.86/ 23.67 GFLOPS | Progress: (16/20) | 12.15 s [Task 11/25] Current/Best: 6.27/ 23.67 GFLOPS | Progress: (20/20) | 15.05 s Done.
+ [Task 12/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 12/25] Current/Best: 9.13/ 16.85 GFLOPS | Progress: (4/20) | 5.81 s [Task 12/25] Current/Best: 14.29/ 16.91 GFLOPS | Progress: (8/20) | 8.87 s [Task 12/25] Current/Best: 12.06/ 16.91 GFLOPS | Progress: (12/20) | 11.79 s [Task 12/25] Current/Best: 14.85/ 16.91 GFLOPS | Progress: (16/20) | 14.85 s [Task 12/25] Current/Best: 14.00/ 16.91 GFLOPS | Progress: (20/20) | 17.11 s Done.
+ [Task 13/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 13/25] Current/Best: 9.63/ 22.25 GFLOPS | Progress: (4/20) | 5.39 s [Task 13/25] Current/Best: 8.51/ 22.25 GFLOPS | Progress: (8/20) | 7.79 s [Task 13/25] Current/Best: 20.62/ 22.25 GFLOPS | Progress: (12/20) | 10.77 s [Task 13/25] Current/Best: 21.51/ 22.25 GFLOPS | Progress: (16/20) | 13.30 s [Task 13/25] Current/Best: 18.39/ 22.25 GFLOPS | Progress: (20/20) | 15.54 s Done.
+ [Task 14/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 14/25] Current/Best: 13.50/ 14.30 GFLOPS | Progress: (4/20) | 10.84 s [Task 14/25] Current/Best: 14.59/ 14.59 GFLOPS | Progress: (8/20) | 13.48 s [Task 14/25] Current/Best: 16.06/ 20.75 GFLOPS | Progress: (12/20) | 20.84 s [Task 14/25] Current/Best: 9.48/ 20.75 GFLOPS | Progress: (16/20) | 28.24 s [Task 14/25] Current/Best: 14.05/ 20.75 GFLOPS | Progress: (20/20) | 34.90 s Done.
+ [Task 15/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 15/25] Current/Best: 20.26/ 20.26 GFLOPS | Progress: (4/20) | 4.15 s [Task 15/25] Current/Best: 8.65/ 20.26 GFLOPS | Progress: (8/20) | 10.78 s [Task 15/25] Current/Best: 12.48/ 20.26 GFLOPS | Progress: (12/20) | 14.14 s [Task 15/25] Current/Best: 5.63/ 20.38 GFLOPS | Progress: (16/20) | 16.57 s [Task 15/25] Current/Best: 16.49/ 21.21 GFLOPS | Progress: (20/20) | 24.23 s Done.
+ [Task 16/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 16/25] Current/Best: 10.83/ 15.78 GFLOPS | Progress: (4/20) | 4.54 s [Task 16/25] Current/Best: 18.46/ 18.80 GFLOPS | Progress: (8/20) | 6.13 s [Task 16/25] Current/Best: 11.22/ 18.80 GFLOPS | Progress: (12/20) | 8.36 s [Task 16/25] Current/Best: 11.33/ 18.80 GFLOPS | Progress: (16/20) | 11.36 s [Task 16/25] Current/Best: 13.12/ 18.80 GFLOPS | Progress: (20/20) | 13.15 s Done.
+ [Task 17/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 17/25] Current/Best: 19.99/ 20.31 GFLOPS | Progress: (4/20) | 4.84 s [Task 17/25] Current/Best: 9.65/ 20.31 GFLOPS | Progress: (8/20) | 7.74 s [Task 17/25] Current/Best: 20.40/ 22.93 GFLOPS | Progress: (12/20) | 11.06 s [Task 17/25] Current/Best: 16.07/ 22.93 GFLOPS | Progress: (16/20) | 13.45 s [Task 17/25] Current/Best: 17.95/ 23.09 GFLOPS | Progress: (20/20) | 16.01 s Done.
+ [Task 18/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 18/25] Current/Best: 6.53/ 11.20 GFLOPS | Progress: (4/20) | 6.11 s [Task 18/25] Current/Best: 6.95/ 11.20 GFLOPS | Progress: (8/20) | 9.91 s [Task 18/25] Current/Best: 10.84/ 11.20 GFLOPS | Progress: (12/20) | 14.13 s [Task 18/25] Current/Best: 11.67/ 19.07 GFLOPS | Progress: (16/20) | 16.63 s [Task 18/25] Current/Best: 8.01/ 19.07 GFLOPS | Progress: (20/20) | 20.36 s Done.
+ [Task 19/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 19/25] Current/Best: 4.18/ 19.85 GFLOPS | Progress: (4/20) | 5.34 s [Task 19/25] Current/Best: 6.26/ 19.85 GFLOPS | Progress: (8/20) | 8.24 s Done.
Done.
- [Task 21/25] Current/Best: 18.33/ 18.33 GFLOPS | Progress: (4/20) | 5.25 s [Task 21/25] Current/Best: 5.08/ 18.33 GFLOPS | Progress: (8/20) | 9.21 s [Task 21/25] Current/Best: 12.84/ 18.33 GFLOPS | Progress: (12/20) | 11.29 s [Task 21/25] Current/Best: 5.64/ 18.33 GFLOPS | Progress: (16/20) | 22.49 s [Task 21/25] Current/Best: 4.82/ 18.58 GFLOPS | Progress: (20/20) | 34.65 s [Task 22/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 22/25] Current/Best: 19.23/ 19.23 GFLOPS | Progress: (4/20) | 4.43 s [Task 22/25] Current/Best: 20.29/ 20.29 GFLOPS | Progress: (8/20) | 6.10 s [Task 22/25] Current/Best: 9.24/ 20.29 GFLOPS | Progress: (12/20) | 8.41 s [Task 22/25] Current/Best: 21.30/ 21.30 GFLOPS | Progress: (16/20) | 10.12 s [Task 22/25] Current/Best: 5.10/ 21.30 GFLOPS | Progress: (20/20) | 12.94 s Done.
- [Task 23/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 23/25] Current/Best: 9.30/ 20.95 GFLOPS | Progress: (4/20) | 5.76 s [Task 23/25] Current/Best: 23.46/ 23.46 GFLOPS | Progress: (8/20) | 9.47 s [Task 23/25] Current/Best: 21.38/ 23.46 GFLOPS | Progress: (12/20) | 12.67 s [Task 23/25] Current/Best: 10.70/ 23.46 GFLOPS | Progress: (16/20) | 16.04 s [Task 23/25] Current/Best: 18.62/ 23.46 GFLOPS | Progress: (20/20) | 20.28 s Done.
- [Task 24/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 24/25] Current/Best: 7.66/ 7.66 GFLOPS | Progress: (4/20) | 4.98 s [Task 24/25] Current/Best: 2.15/ 10.24 GFLOPS | Progress: (8/20) | 9.86 s [Task 24/25] Current/Best: 7.63/ 10.24 GFLOPS | Progress: (12/20) | 11.77 s [Task 24/25] Current/Best: 5.22/ 10.24 GFLOPS | Progress: (16/20) | 22.77 s [Task 24/25] Current/Best: 4.30/ 10.24 GFLOPS | Progress: (20/20) | 25.66 s [Task 25/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 25/25] Current/Best: 3.12/ 10.13 GFLOPS | Progress: (4/20) | 8.93 s [Task 25/25] Current/Best: 7.44/ 10.13 GFLOPS | Progress: (8/20) | 19.92 s [Task 25/25] Current/Best: 8.17/ 10.13 GFLOPS | Progress: (12/20) | 30.92 s [Task 25/25] Current/Best: 9.74/ 10.13 GFLOPS | Progress: (16/20) | 36.89 s [Task 25/25] Current/Best: 1.59/ 10.13 GFLOPS | Progress: (20/2
0) | 47.87 s
+ [Task 19/25] Current/Best: 8.16/ 20.69 GFLOPS | Progress: (12/20) | 12.24 s [Task 19/25] Current/Best: 7.58/ 20.69 GFLOPS | Progress: (16/20) | 18.41 s [Task 19/25] Current/Best: 9.37/ 20.69 GFLOPS | Progress: (20/20) | 29.91 s [Task 20/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 20/25] Current/Best: 19.84/ 19.84 GFLOPS | Progress: (4/20) | 9.41 s [Task 20/25] Current/Best: 12.65/ 19.84 GFLOPS | Progress: (8/20) | 13.24 s [Task 20/25] Current/Best: 7.98/ 19.84 GFLOPS | Progress: (12/20) | 18.37 s [Task 20/25] Current/Best: 6.54/ 19.84 GFLOPS | Progress: (16/20) | 24.88 s [Task 20/25] Current/Best: 15.84/ 19.84 GFLOPS | Progress: (20/20) | 36.35 s [Task 21/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 21/25] Current/Best: 10.13/ 14.93 GFLOPS | Progress: (4/20) | 7.14 s [Task 21/25] Current/Best: 13.06/ 18.73 GFLOPS | Progress: (8/
20) | 10.34 s [Task 21/25] Current/Best: 15.16/ 19.45 GFLOPS | Progress: (12/20) | 12.14 s [Task 21/25] Current/Best: 14.35/ 20.82 GFLOPS | Progress: (16/20) | 14.05 s [Task 21/25] Current/Best: 19.39/ 20.82 GFLOPS | Progress: (20/20) | 25.12 s [Task 22/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 22/25] Current/Best: 18.70/ 18.70 GFLOPS | Progress: (4/20) | 5.37 s [Task 22/25] Current/Best: 8.79/ 19.52 GFLOPS | Progress: (8/20) | 7.60 s [Task 22/25] Current/Best: 7.07/ 19.52 GFLOPS | Progress: (12/20) | 10.50 s [Task 22/25] Current/Best: 9.01/ 19.52 GFLOPS | Progress: (16/20) | 17.84 s [Task 22/25] Current/Best: 20.55/ 20.63 GFLOPS | Progress: (20/20) | 19.69 s Done.
+ [Task 23/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 23/25] Current/Best: 5.13/ 23.62 GFLOPS | Progress: (4/20) | 5.44 s [Task 23/25] Current/Best: 6.72/ 23.62 GFLOPS | Progress: (8/20) | 8.90 s [Task 23/25] Current/Best: 20.08/ 23.62 GFLOPS | Progress: (12/20) | 12.94 s [Task 23/25] Current/Best: 3.12/ 23.62 GFLOPS | Progress: (16/20) | 16.90 s [Task 23/25] Current/Best: 22.08/ 23.62 GFLOPS | Progress: (20/20) | 19.19 s Done.
+ [Task 24/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 24/25] Current/Best: 3.62/ 5.43 GFLOPS | Progress: (4/20) | 7.86 s [Task 24/25] Current/Best: 4.14/ 5.43 GFLOPS | Progress: (8/20) | 9.67 s [Task 24/25] Current/Best: 5.96/ 5.96 GFLOPS | Progress: (12/20) | 20.64 s [Task 24/25] Current/Best: 2.98/ 9.73 GFLOPS | Progress: (16/20) | 25.76 s [Task 24/25] Current/Best: 3.98/ 9.73 GFLOPS | Progress: (20/20) | 36.46 s [Task 25/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s Done.
+ Done.
+ Done.
+ Done.
+ [Task 25/25] Current/Best: 1.57/ 9.16 GFLOPS | Progress: (4/20) | 9.23 s [Task 25/25] Current/Best: 3.06/ 9.16 GFLOPS | Progress: (8/20) | 12.47 s [Task 25/25] Current/Best: 8.01/ 9.16 GFLOPS | Progress: (12/20) | 23.45 s [Task 25/25] Current/Best: 3.72/ 9.90 GFLOPS | Progress: (16/20) | 26.66 s [Task 25/25] Current/Best: 7.84/ 9.90 GFLOPS | Progress: (20/20) | 30.02 s
@@ -673,8 +675,6 @@ model using optimized operators to speed up our computations.
.. code-block:: none
Done.
- Done.
- Done.
@@ -708,8 +708,8 @@ Verify that the optimized model runs and produces the same results:
.. code-block:: none
- class='n02123045 tabby, tabby cat' with probability=0.621104
- class='n02123159 tiger cat' with probability=0.356378
+ class='n02123045 tabby, tabby cat' with probability=0.621103
+ class='n02123159 tiger cat' with probability=0.356379
class='n02124075 Egyptian cat' with probability=0.019712
class='n02129604 tiger, Panthera tigris' with probability=0.001215
class='n04040759 radiator' with probability=0.000262
@@ -766,8 +766,8 @@ improvement in comparing the optimized model to the unoptimized model.
.. code-block:: none
- optimized: {'mean': 382.18969886000195, 'median': 381.91253009999855, 'std': 1.1128295883856005}
- unoptimized: {'mean': 464.4068318100108, 'median': 464.3366772500485, 'std': 0.2555413037996094}
+ optimized: {'mean': 425.3099469299923, 'median': 424.521806049961, 'std': 2.220070750264207}
+ unoptimized: {'mean': 490.0395544800176, 'median': 490.0826390500242, 'std': 3.0945754273839228}
@@ -790,7 +790,7 @@ profiling/benchmarking.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 12 minutes 40.892 seconds)
+ **Total running time of the script:** ( 13 minutes 11.392 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 527b22dce6..837860b13d 100644
--- a/docs/_sources/tutorial/cross_compilation_and_rpc.rst.txt
+++ b/docs/_sources/tutorial/cross_compilation_and_rpc.rst.txt
@@ -274,7 +274,7 @@ device and returns the measured cost. Network overhead is excluded.
.. code-block:: none
- 1.31e-07 secs/op
+ 1.239e-07 secs/op
diff --git a/docs/_sources/tutorial/intro_topi.rst.txt b/docs/_sources/tutorial/intro_topi.rst.txt
index ae8d2d8b07..43cf380d5d 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, 0x14567a20)), stage(b, placeholder(b, 0x288a50d0)), 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, 0x162ae250)), stage(b, placeholder(b, 0x16305f70)), 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 c06950390d..c8b128ce6b 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
=================
-**15:58.430** total execution time for **tutorial** files:
+**16:35.699** total execution time for **tutorial** files:
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_autotvm_relay_x86.py` (``autotvm_relay_x86.py``) | 12:40.892 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_autotvm_relay_x86.py` (``autotvm_relay_x86.py``) | 13:11.392 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_auto_scheduler_matmul_x86.py` (``auto_scheduler_matmul_x86.py``) | 01:21.145 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_auto_scheduler_matmul_x86.py` (``auto_scheduler_matmul_x86.py``) | 01:25.299 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_tensor_expr_get_started.py` (``tensor_expr_get_started.py``) | 00:58.720 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_tensor_expr_get_started.py` (``tensor_expr_get_started.py``) | 00:58.753 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_relay_quick_start.py` (``relay_quick_start.py``) | 00:42.030 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_relay_quick_start.py` (``relay_quick_start.py``) | 00:42.411 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_autotvm_matmul_x86.py` (``autotvm_matmul_x86.py``) | 00:13.724 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_autotvm_matmul_x86.py` (``autotvm_matmul_x86.py``) | 00:15.871 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_intro_topi.py` (``intro_topi.py``) | 00:00.876 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_intro_topi.py` (``intro_topi.py``) | 00:00.890 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_tensor_ir_blitz_course.py` (``tensor_ir_blitz_course.py``) | 00:00.851 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_tensor_ir_blitz_course.py` (``tensor_ir_blitz_course.py``) | 00:00.871 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_cross_compilation_and_rpc.py` (``cross_compilation_and_rpc.py``) | 00:00.191 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_cross_compilation_and_rpc.py` (``cross_compilation_and_rpc.py``) | 00:00.212 | 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 7299ea1cf5..44297e3ec0 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: 0.000005
- naive: 0.000006
+ Numpy running time: 0.000008
+ naive: 0.000010
@@ -389,7 +389,7 @@ compile and run this new schedule with the parallel operation applied:
.. code-block:: none
- parallel: 0.000007
+ parallel: 0.000010
@@ -498,10 +498,10 @@ We can now compare the different schedules
.. code-block:: none
Operator Timing Performance
- numpy 5.175559999770485e-06 1.0
- naive 5.655799999999999e-06 1.0927899590094232
- parallel 7.0547e-06 1.36307955087234
- vector 3.79186e-05 7.3264728844186005
+ numpy 7.914670004538493e-06 1.0
+ naive 9.8902e-06 1.249603583513739
+ parallel 9.589399999999998e-06 1.2115982087062593
+ vector 3.79805e-05 4.798747133894517
@@ -922,7 +922,7 @@ matrix multiplication.
.. code-block:: none
- Numpy running time: 0.014590
+ Numpy running time: 0.017845
@@ -980,7 +980,7 @@ optimizations.
.. code-block:: none
- none: 3.389258
+ none: 3.343162
@@ -1080,7 +1080,7 @@ schedule.
.. code-block:: none
- blocking: 0.289026
+ blocking: 0.285374
@@ -1164,7 +1164,7 @@ already cache friendly from our previous optimizations.
.. code-block:: none
- vectorization: 0.273931
+ vectorization: 0.263291
# 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: 0.110150
+ loop permutation: 0.112232
# 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: 0.102308
+ array packing: 0.105345
# 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: 0.094069
+ block caching: 0.109053
# 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: 0.112012
+ parallelization: 0.129850
# 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 3.389258367 1.0
- blocking 0.28902558629999997 0.08527694114858254
- vectorization 0.2739305346 0.08082314917834649
- loop permutation 0.1101500692 0.032499755779167486
- array packing 0.1023076292 0.030185845433364684
- block caching 0.0940690493 0.027755054089684275
- parallelization 0.11201228329999999 0.03304920167509908
+ none 3.3431623696000003 1.0
+ blocking 0.28537433339999996 0.08536059630096404
+ vectorization 0.2632913521 0.07875517937571845
+ loop permutation 0.1122319869 0.03357060605866661
+ array packing 0.10534485850000001 0.03151054207175831
+ block caching 0.1090533122 0.03261980727937181
+ parallelization 0.12984986650000002 0.038840430749265756
diff --git a/docs/commit_hash b/docs/commit_hash
index 2326bfadcb..127e561e78 100644
--- a/docs/commit_hash
+++ b/docs/commit_hash
@@ -1 +1 @@
-ad3dfb4c1c750a006f8cc065a5ef2c3dabf0d89f
+9fd3461c32086caf9c404175b2879baa6e5074f6
diff --git a/docs/how_to/compile_models/from_darknet.html b/docs/how_to/compile_models/from_darknet.html
index 5c9c8a8613..a680326da1 100644
--- a/docs/how_to/compile_models/from_darknet.html
+++ b/docs/how_to/compile_models/from_darknet.html
@@ -604,7 +604,7 @@ 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 33.978 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 33.728 seconds)</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-compile-models-from-darknet-py">
<div class="sphx-glr-download sphx-glr-download-python docutils container">
<p><a class="reference download internal" download="" href="../../_downloads/7716f96385bd5abb6e822041e285be54/from_darknet.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">from_darknet.py</span></code></a></p>
diff --git a/docs/how_to/compile_models/from_oneflow.html b/docs/how_to/compile_models/from_oneflow.html
index 57590bc961..9783cc31be 100644
--- a/docs/how_to/compile_models/from_oneflow.html
+++ b/docs/how_to/compile_models/from_oneflow.html
@@ -468,15 +468,15 @@ Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdo
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Downloading: "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, 42.8MB/s]
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- 61%|######1 | 25.4M/41.5M [00:00<00:00, 26.6MB/s]
- 77%|#######7 | 32.0M/41.5M [00:01<00:00, 28.6MB/s]
- 92%|#########2| 38.3M/41.5M [00:01<00:00, 25.5MB/s]
-100%|##########| 41.5M/41.5M [00:01<00:00, 28.7MB/s]
+ 15%|#5 | 6.33M/41.5M [00:00<00:00, 49.2MB/s]
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+ 36%|###5 | 14.9M/41.5M [00:00<00:00, 32.8MB/s]
+ 44%|####3 | 18.1M/41.5M [00:00<00:00, 31.2MB/s]
+ 54%|#####3 | 22.3M/41.5M [00:00<00:00, 31.9MB/s]
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+ 92%|#########2| 38.3M/41.5M [00:01<00:00, 27.3MB/s]
+100%|##########| 41.5M/41.5M [00:01<00:00, 30.6MB/s]
</pre></div>
</div>
</div>
diff --git a/docs/how_to/compile_models/from_paddle.html b/docs/how_to/compile_models/from_paddle.html
index 12b26b40e5..ae18523139 100644
--- a/docs/how_to/compile_models/from_paddle.html
+++ b/docs/how_to/compile_models/from_paddle.html
@@ -503,6 +503,7 @@ To begin, we’ll install PaddlePaddle>=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 2.583 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 a4f022f106..ec4d55ffd7 100644
--- a/docs/how_to/compile_models/from_pytorch.html
+++ b/docs/how_to/compile_models/from_pytorch.html
@@ -451,13 +451,15 @@ be unstable.</p>
Downloading: "https://download.pytorch.org/models/resnet18-f37072fd.pth" to /workspace/.cache/torch/hub/checkpoints/resnet18-f37072fd.pth
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- 54%|#####3 | 24.0M/44.7M [00:00<00:00, 52.7MB/s]
- 72%|#######1 | 32.0M/44.7M [00:00<00:00, 49.0MB/s]
- 86%|########5 | 38.3M/44.7M [00:00<00:00, 49.2MB/s]
- 97%|#########7| 43.3M/44.7M [00:00<00:00, 48.5MB/s]
-100%|##########| 44.7M/44.7M [00:00<00:00, 48.8MB/s]
+ 14%|#4 | 6.30M/44.7M [00:00<00:00, 49.9MB/s]
+ 25%|##4 | 11.1M/44.7M [00:00<00:01, 34.8MB/s]
+ 33%|###2 | 14.6M/44.7M [00:00<00:00, 35.1MB/s]
+ 40%|#### | 18.0M/44.7M [00:00<00:00, 32.8MB/s]
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+ 68%|######7 | 30.2M/44.7M [00:00<00:00, 41.6MB/s]
+ 77%|#######6 | 34.2M/44.7M [00:01<00:00, 30.5MB/s]
+ 90%|########9 | 40.0M/44.7M [00:01<00:00, 32.6MB/s]
+100%|##########| 44.7M/44.7M [00:01<00:00, 38.1MB/s]
</pre></div>
</div>
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diff --git a/docs/how_to/compile_models/from_tensorflow.html b/docs/how_to/compile_models/from_tensorflow.html
index 19fa1491ed..06fb254ea8 100644
--- a/docs/how_to/compile_models/from_tensorflow.html
+++ b/docs/how_to/compile_models/from_tensorflow.html
@@ -671,7 +671,7 @@ banana (score = 0.00022)
desk (score = 0.00019)
</pre></div>
</div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 29.348 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 30.092 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 fc9df105e2..bde63be32e 100644
--- a/docs/how_to/compile_models/sg_execution_times.html
+++ b/docs/how_to/compile_models/sg_execution_times.html
@@ -360,7 +360,7 @@
<div class="section" id="computation-times">
<span id="sphx-glr-how-to-compile-models-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>06:31.891</strong> total execution time for <strong>how_to_compile_models</strong> files:</p>
+<p><strong>06:37.252</strong> total execution time for <strong>how_to_compile_models</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 81%" />
@@ -369,39 +369,39 @@
</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>01:33.978</p></td>
+<td><p>01:33.728</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>01:29.348</p></td>
+<td><p>01:30.092</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>00:59.782</p></td>
+<td><p>01:02.583</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>00:41.960</p></td>
+<td><p>00:43.645</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>00:36.555</p></td>
+<td><p>00:36.549</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>00:27.541</p></td>
+<tr class="row-even"><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>00:28.353</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>00:27.397</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="from_keras.html#sphx-glr-how-to-compile-models-from-keras-py"><span class="std std-ref">Compile Keras Models</span></a> (<code class="docutils literal notranslate"><span class="pre">from_keras.py</span></code>)</p></td>
+<td><p>00:27.571</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="from_tflite.html#sphx-glr-how-to-compile-models-from-tflite-py"><span class="std std-ref">Compile TFLite Models</span></a> (<code class="docutils literal notranslate"><span class="pre">from_tflite.py</span></code>)</p></td>
-<td><p>00:12.504</p></td>
+<td><p>00:11.910</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="from_onnx.html#sphx-glr-how-to-compile-models-from-onnx-py"><span class="std std-ref">Compile ONNX Models</span></a> (<code class="docutils literal notranslate"><span class="pre">from_onnx.py</span></code>)</p></td>
-<td><p>00:02.827</p></td>
+<td><p>00:02.821</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 bd12cecaba..56d1816885 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)
- 3991.4719 3988.9872 4011.1365 3987.8510 6.6811
+ 4059.2602 4058.6477 4065.8484 4057.1226 2.4548
</pre></div>
</div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 16.485 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 17.551 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 ae1b19bfe8..87b2bc1f6b 100644
--- a/docs/how_to/deploy_models/deploy_model_on_adreno_tvmc.html
+++ b/docs/how_to/deploy_models/deploy_model_on_adreno_tvmc.html
@@ -459,32 +459,29 @@ to run this tutorial with a real device over rpc.</p>
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diff --git a/docs/how_to/deploy_models/deploy_model_on_android.html b/docs/how_to/deploy_models/deploy_model_on_android.html
index 6016bfc046..6a3187ac95 100644
--- a/docs/how_to/deploy_models/deploy_model_on_android.html
+++ b/docs/how_to/deploy_models/deploy_model_on_android.html
@@ -682,7 +682,7 @@ to the remote android device.</p>
Evaluate inference time cost...
Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 13.9940 13.8139 14.6138 13.6694 0.3736
+ 15.8316 15.7870 16.3903 15.2834 0.3887
</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 95ec85151c..04407af70b 100644
--- a/docs/how_to/deploy_models/deploy_object_detection_pytorch.html
+++ b/docs/how_to/deploy_models/deploy_object_detection_pytorch.html
@@ -474,18 +474,38 @@ 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
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/venv/apache-tvm-py3.8/lib/python3.8/site-packages/torch/nn/functional.py:3912: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
(torch.floor((input.size(i + 2).float() * torch.tensor(scale_factors[i], dtype=torch.float32)).float()))
/venv/apache-tvm-py3.8/lib/python3.8/site-packages/torchvision/ops/boxes.py:157: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
@@ -576,7 +596,7 @@ 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 21.696 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes 28.448 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 a5436482d3..adbf9ec8c4 100644
--- a/docs/how_to/deploy_models/deploy_prequantized.html
+++ b/docs/how_to/deploy_models/deploy_prequantized.html
@@ -515,10 +515,9 @@ 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
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</pre></div>
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@@ -609,7 +608,7 @@ output values are identical out of 1000 outputs from mobilenet v2.</p>
</div>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 85.9703 85.9319 86.8283 85.6115 0.1936
+ 87.3317 87.2874 88.2684 86.9352 0.2639
</pre></div>
</div>
<div class="admonition note">
@@ -648,7 +647,7 @@ This includes support for the VNNI 8 bit dot product instruction (CascadeLake or
<div class="section" id="deploy-a-quantized-tflite-model">
<h2>Deploy a quantized TFLite Model<a class="headerlink" href="#deploy-a-quantized-tflite-model" title="Permalink to this headline">¶</a></h2>
<p>TODO</p>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 24.481 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 26.126 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 3b0de56c94..e4df837d97 100644
--- a/docs/how_to/deploy_models/deploy_prequantized_tflite.html
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@@ -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)
- 108.1426 107.9828 109.3475 107.0491 0.5257
+ 107.5189 107.9356 112.5378 105.0232 1.2191
</pre></div>
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<div class="admonition note">
diff --git a/docs/how_to/deploy_models/sg_execution_times.html b/docs/how_to/deploy_models/sg_execution_times.html
index 4519cd6a30..96a789003a 100644
--- a/docs/how_to/deploy_models/sg_execution_times.html
+++ b/docs/how_to/deploy_models/sg_execution_times.html
@@ -360,7 +360,7 @@
<div class="section" id="computation-times">
<span id="sphx-glr-how-to-deploy-models-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>09:24.693</strong> total execution time for <strong>how_to_deploy_models</strong> files:</p>
+<p><strong>09:35.800</strong> total execution time for <strong>how_to_deploy_models</strong> files:</p>
<table class="docutils align-default">
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@@ -369,39 +369,39 @@
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<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>
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<td><p>0.0 MB</p></td>
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<tr class="row-even"><td><p><a class="reference internal" href="deploy_prequantized.html#sphx-glr-how-to-deploy-models-deploy-prequantized-py"><span class="std std-ref">Deploy a Framework-prequantized Model with TVM</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_prequantized.py</span></code>)</p></td>
-<td><p>01:24.481</p></td>
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<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="deploy_model_on_adreno.html#sphx-glr-how-to-deploy-models-deploy-model-on-adreno-py"><span class="std std-ref">Deploy the Pretrained Model on Adreno™</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_model_on_adreno.py</span></code>)</p></td>
-<td><p>01:16.485</p></td>
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<td><p>0.0 MB</p></td>
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<tr class="row-even"><td><p><a class="reference internal" href="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>
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<td><p>0.0 MB</p></td>
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<tr class="row-odd"><td><p><a class="reference internal" href="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>
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<td><p>0.0 MB</p></td>
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<tr class="row-even"><td><p><a class="reference internal" href="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>
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<td><p>0.0 MB</p></td>
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+<td><p>00:29.129</p></td>
<td><p>0.0 MB</p></td>
</tr>
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-<td><p>00:28.469</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="deploy_model_on_nano.html#sphx-glr-how-to-deploy-models-deploy-model-on-nano-py"><span class="std std-ref">Deploy the Pretrained Model on Jetson Nano</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_model_on_nano.py</span></code>)</p></td>
+<td><p>00:29.106</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="deploy_sparse.html#sphx-glr-how-to-deploy-models-deploy-sparse-py"><span class="std std-ref">Deploy a Hugging Face Pruned Model on CPU</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_sparse.py</span></code>)</p></td>
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</tbody>
diff --git a/docs/how_to/extend_tvm/sg_execution_times.html b/docs/how_to/extend_tvm/sg_execution_times.html
index 2c5c6bc4c9..cb94879808 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>
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+<p><strong>00:03.965</strong> total execution time for <strong>how_to_extend_tvm</strong> files:</p>
<table class="docutils align-default">
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@@ -369,15 +369,15 @@
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<tr class="row-odd"><td><p><a class="reference internal" href="use_pass_instrument.html#sphx-glr-how-to-extend-tvm-use-pass-instrument-py"><span class="std std-ref">How to Use TVM Pass Instrument</span></a> (<code class="docutils literal notranslate"><span class="pre">use_pass_instrument.py</span></code>)</p></td>
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<tr class="row-even"><td><p><a class="reference internal" href="use_pass_infra.html#sphx-glr-how-to-extend-tvm-use-pass-infra-py"><span class="std std-ref">How to Use TVM Pass Infra</span></a> (<code class="docutils literal notranslate"><span class="pre">use_pass_infra.py</span></code>)</p></td>
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<td><p>0.0 MB</p></td>
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<tr class="row-odd"><td><p><a class="reference internal" href="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 11ffdb7616..dd6ca137d9 100644
--- a/docs/how_to/extend_tvm/use_pass_instrument.html
+++ b/docs/how_to/extend_tvm/use_pass_instrument.html
@@ -545,10 +545,10 @@ profile the execution time of each passes.</p>
</pre></div>
</div>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Printing results of timing profile...
-InferType: 24816us [24816us] (48.62%; 48.62%)
-FoldScaleAxis: 26219us [8us] (51.38%; 51.38%)
- FoldConstant: 26211us [1802us] (51.36%; 99.97%)
- InferType: 24410us [24410us] (47.83%; 93.13%)
+InferType: 25321us [25321us] (48.62%; 48.62%)
+FoldScaleAxis: 26762us [8us] (51.38%; 51.38%)
+ FoldConstant: 26754us [1784us] (51.37%; 99.97%)
+ InferType: 24970us [24970us] (47.94%; 93.33%)
</pre></div>
</div>
</div>
@@ -570,10 +570,10 @@ Refer to following sections and <a class="reference internal" href="../../refere
</pre></div>
</div>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Printing results of timing profile...
-InferType: 24530us [24530us] (48.41%; 48.41%)
-FoldScaleAxis: 26145us [8us] (51.59%; 51.59%)
- FoldConstant: 26137us [1826us] (51.58%; 99.97%)
- InferType: 24311us [24311us] (47.97%; 93.01%)
+InferType: 24871us [24871us] (48.34%; 48.34%)
+FoldScaleAxis: 26577us [7us] (51.66%; 51.66%)
+ FoldConstant: 26570us [1865us] (51.65%; 99.97%)
+ InferType: 24705us [24705us] (48.02%; 92.98%)
</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 6622afda3c..152cd5295d 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: 53.460990 ms
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Convolution: 53.501502 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 0b4ae9d46a..e0335677ef 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: 12.271648 ms
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>conv2d with tensor core: 12.265254 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 0898a06cb1..b53846baef 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: 0.013877
-Baseline: 3.409652
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Numpy running time: 0.017896
+Baseline: 3.354469
</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: 0.279256
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt1: 0.291704
</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: 0.268241
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt2: 0.272779
</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: 0.109007
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt3: 0.114164
</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: 0.101402
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt4: 0.109428
</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: 0.094372
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt5: 0.110070
</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: 0.112612
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt6: 0.130316
</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 c0b9902622..5a180ee229 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>00:31.491</strong> total execution time for <strong>how_to_optimize_operators</strong> files:</p>
+<p><strong>00:33.434</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>00:28.584</p></td>
+<td><p>00:30.368</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>00:01.763</p></td>
+<td><p>00:01.807</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>00:01.144</p></td>
+<td><p>00:01.259</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 c53afd633c..0a9b481840 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>03:28.744</strong> total execution time for <strong>how_to_tune_with_autoscheduler</strong> files:</p>
+<p><strong>03:32.107</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>01:30.204</p></td>
+<td><p>01:31.621</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>01:10.476</p></td>
+<td><p>01:10.721</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>00:17.202</p></td>
+<td><p>00:17.498</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>00:16.001</p></td>
+<td><p>00:16.165</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>00:14.762</p></td>
+<td><p>00:15.999</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>00:00.098</p></td>
+<td><p>00:00.103</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 2582f50b45..f4084ab655 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: 0.339 ms
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Execution time of this operator: 0.340 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 d09cdb19c2..4fef0fcf22 100644
--- a/docs/how_to/tune_with_autoscheduler/tune_network_cuda.html
+++ b/docs/how_to/tune_with_autoscheduler/tune_network_cuda.html
@@ -923,7 +923,7 @@ so we can read the log file and load the best schedules.</p>
Evaluate inference time cost...
Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 3.2146 3.2148 3.2149 3.2140 0.0004
+ 3.2052 3.2052 3.2056 3.2049 0.0003
</pre></div>
</div>
</div>
@@ -945,7 +945,7 @@ to learn how to use the RPC Tracker and RPC Server.
To use the RPC Tracker in auto-scheduler, replace the runner in <code class="code docutils literal notranslate"><span class="pre">TuningOptions</span></code>
with <a class="reference internal" href="../../reference/api/python/auto_scheduler.html#tvm.auto_scheduler.RPCRunner" title="tvm.auto_scheduler.RPCRunner"><code class="xref any py py-class docutils literal notranslate"><span class="pre">auto_scheduler.RPCRunner</span></code></a>.</p></li>
</ol>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 10.476 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 10.721 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 d9ed0d7624..a79cd803db 100644
--- a/docs/how_to/tune_with_autoscheduler/tune_network_x86.html
+++ b/docs/how_to/tune_with_autoscheduler/tune_network_x86.html
@@ -945,7 +945,7 @@ so we can read the log file and load the best schedules.</p>
Evaluate inference time cost...
Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 700.8062 700.6653 701.5602 700.1931 0.5669
+ 740.6395 740.4472 741.3049 740.1665 0.4842
</pre></div>
</div>
</div>
@@ -967,7 +967,7 @@ to learn how to use the RPC Tracker and RPC Server.
To use the RPC Tracker in auto-scheduler, replace the runner in <code class="code docutils literal notranslate"><span class="pre">TuningOptions</span></code>
with <a class="reference internal" href="../../reference/api/python/auto_scheduler.html#tvm.auto_scheduler.RPCRunner" title="tvm.auto_scheduler.RPCRunner"><code class="xref any py py-class docutils literal notranslate"><span class="pre">auto_scheduler.RPCRunner</span></code></a>.</p></li>
</ol>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 30.204 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 31.621 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 e24195606e..89196701bc 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>00:22.685</strong> total execution time for <strong>how_to_tune_with_autotvm</strong> files:</p>
+<p><strong>00:23.997</strong> total execution time for <strong>how_to_tune_with_autotvm</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 84%" />
@@ -369,11 +369,11 @@
</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>00:22.650</p></td>
+<td><p>00:23.961</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>00:00.020</p></td>
+<td><p>00:00.021</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="tune_relay_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>
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 4fd48ceb45..a7f6ddb947 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: 0.037119
+Time cost of this operator: 0.037234
</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 ef593cb9bf..3b315b11df 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 294.1 98.727 (1, 2, 10, 10, 3) 2 1 [294.1]
-tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 2.868 0.963 (1, 6, 10, 10) 1 1 [2.868]
-tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.925 0.31 (1, 1, 10, 10, 3) 1 1 [0.925]
-Total_time - 297.892 - - - - -
+tvmgen_default_fused_nn_contrib_conv2d_NCHWc tvmgen_default_fused_nn_contrib_conv2d_NCHWc 312.6 98.776 (1, 2, 10, 10, 3) 2 1 [312.6]
+tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 2.929 0.925 (1, 6, 10, 10) 1 1 [2.929]
+tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.944 0.298 (1, 1, 10, 10, 3) 1 1 [0.944]
+Total_time - 316.473 - - - - -
</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 97.938 97.132 (1, 6, 10, 10, 1) 2 1 [97.938]
-tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 1.952 1.936 (1, 6, 10, 10) 1 1 [1.952]
-tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.94 0.932 (1, 1, 10, 10, 3) 1 1 [0.94]
-Total_time - 100.83 - - - - -
+tvmgen_default_fused_nn_contrib_conv2d_NCHWc tvmgen_default_fused_nn_contrib_conv2d_NCHWc 103.2 97.502 (1, 6, 10, 10, 1) 2 1 [103.2]
+tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 1.716 1.622 (1, 6, 10, 10) 1 1 [1.716]
+tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.927 0.876 (1, 1, 10, 10, 3) 1 1 [0.927]
+Total_time - 105.844 - - - - -
</pre></div>
</div>
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+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 24.793 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 fd9115eab3..7d562f731c 100644
--- a/docs/how_to/work_with_microtvm/micro_pytorch.html
+++ b/docs/how_to/work_with_microtvm/micro_pytorch.html
@@ -475,8 +475,8 @@ 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]
- 61%|###### | 2.09M/3.42M [00:00<00:00, 12.2MB/s]
-100%|##########| 3.42M/3.42M [00:00<00:00, 19.4MB/s]
+ 61%|###### | 2.09M/3.42M [00:00<00:00, 7.90MB/s]
+100%|##########| 3.42M/3.42M [00:00<00:00, 12.7MB/s]
/venv/apache-tvm-py3.8/lib/python3.8/site-packages/torch/_utils.py:314: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
device=storage.device,
/workspace/python/tvm/relay/frontend/pytorch_utils.py:47: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.
@@ -604,7 +604,7 @@ 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 25.066 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 28.010 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 c128e3776a..e2dd4cb30f 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/tmprl1835hm/images/random'
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>'/tmp/tmp2b618u_z/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/tmprl1835hm/images/target contains 8144 images
-/tmp/tmprl1835hm/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/tmp2b618u_z/images/target contains 8144 images
+/tmp/tmp2b618u_z/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 - 38s - loss: 0.2314 - accuracy: 0.9226 - val_loss: 0.1612 - val_accuracy: 0.9471 - 38s/epoch - 116ms/step
+328/328 - 39s - loss: 0.2257 - accuracy: 0.9218 - val_loss: 0.1161 - val_accuracy: 0.9569 - 39s/epoch - 118ms/step
Epoch 2/3
-328/328 - 34s - loss: 0.1026 - accuracy: 0.9623 - val_loss: 0.1138 - val_accuracy: 0.9615 - 34s/epoch - 105ms/step
+328/328 - 35s - loss: 0.1010 - accuracy: 0.9632 - val_loss: 0.0957 - val_accuracy: 0.9671 - 35s/epoch - 107ms/step
Epoch 3/3
-328/328 - 34s - loss: 0.0646 - accuracy: 0.9768 - val_loss: 0.1049 - val_accuracy: 0.9660 - 34s/epoch - 104ms/step
+328/328 - 35s - loss: 0.0676 - accuracy: 0.9742 - val_loss: 0.1324 - val_accuracy: 0.9615 - 35s/epoch - 108ms/step
-<keras.callbacks.History object at 0x7f55d2b4e580>
+<keras.callbacks.History object at 0x7f274b669bb0>
</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 49.323 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes 0.272 seconds)</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-work-with-microtvm-micro-train-py">
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<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 608dc34d63..906b1611c4 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>08:06.286</strong> total execution time for <strong>how_to_work_with_microtvm</strong> files:</p>
+<p><strong>08:22.382</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 @@
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<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>
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</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>
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<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>01:23.459</p></td>
+<td><p>01:24.793</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>
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<tr class="row-odd"><td><p><a class="reference internal" href="micro_custom_ide.html#sphx-glr-how-to-work-with-microtvm-micro-custom-ide-py"><span class="std std-ref">9. Bring microTVM to your own development environment</span></a> (<code class="docutils literal notranslate"><span class="pre">micro_custom_ide.py</span></code>)</p></td>
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<td><p>0.0 MB</p></td>
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<tr class="row-even"><td><p><a class="reference internal" href="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>
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<td><p>0.0 MB</p></td>
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<tr class="row-odd"><td><p><a class="reference internal" href="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 080c0ff6fe..1912a4c28f 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>00:37.082</strong> total execution time for <strong>how_to_work_with_relay</strong> files:</p>
+<p><strong>00:37.899</strong> total execution time for <strong>how_to_work_with_relay</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 84%" />
@@ -369,19 +369,19 @@
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<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>
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<td><p>0.0 MB</p></td>
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<tr class="row-even"><td><p><a class="reference internal" href="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>
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<td><p>0.0 MB</p></td>
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<tr class="row-odd"><td><p><a class="reference internal" href="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>
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<td><p>0.0 MB</p></td>
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<tr class="row-even"><td><p><a class="reference internal" href="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>
-<td><p>00:00.006</p></td>
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diff --git a/docs/how_to/work_with_schedules/intrin_math.html b/docs/how_to/work_with_schedules/intrin_math.html
index 874de96a59..2d519d0b80 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 0x7f57bc1ab550>
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span><function my_cuda_math_rule at 0x7f2922579160>
</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 d340509265..ea20cfd253 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>00:05.468</strong> total execution time for <strong>how_to_work_with_schedules</strong> files:</p>
+<p><strong>00:05.389</strong> total execution time for <strong>how_to_work_with_schedules</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 83%" />
@@ -369,35 +369,35 @@
</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>00:02.484</p></td>
+<td><p>00:02.563</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>00:01.312</p></td>
+<td><p>00:01.096</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>00:00.704</p></td>
+<td><p>00:00.732</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>
-<td><p>00:00.690</p></td>
+<td><p>00:00.710</p></td>
<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>00:00.119</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>00:00.068</p></td>
+<td><p>00:00.070</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>00:00.065</p></td>
+<td><p>00:00.066</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>00:00.033</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 f452098e68..8bfe8a8ee8 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 2945d7ba0f..90048317bb 100644
--- a/docs/reference/api/typedoc/classes/ArtifactCache.html
+++ b/docs/reference/api/typedoc/classes/ArtifactCache.html
@@ -27,7 +27,7 @@
<ul class="tsd-hierarchy">
<li><a href="../interfaces/_internal_.ArtifactCacheTemplate.html" class="tsd-signature-type tsd-kind-interface">ArtifactCacheTemplate</a></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L992">runtime.ts:992</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L992">runtime.ts:992</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">
@@ -57,7 +57,7 @@
<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/ad3dfb4c1/web/src/runtime.ts#L996">runtime.ts:996</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L996">runtime.ts:996</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="deleteInCache" class="tsd-anchor"></a>
@@ -75,7 +75,7 @@
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol"><</span><span class="tsd-signature-type">boolean</span><span class="tsd-signature-symbol">></span></h4><aside class="tsd-sources">
<p>Implementation of <a href="../interfaces/_internal_.ArtifactCacheTemplate.html">ArtifactCacheTemplate</a>.<a href="../interfaces/_internal_.ArtifactCacheTemplate.html#deleteInCache">deleteInCache</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L1026">runtime.ts:1026</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L1026">runtime.ts:1026</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="fetchWithCache" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>fetch<wbr/>With<wbr/>Cache</span><a href="#fetchWithCache" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -91,7 +91,7 @@
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol"><</span><span class="tsd-signature-type ">Response</span><span class="tsd-signature-symbol">></span></h4><aside class="tsd-sources">
<p>Implementation of <a href="../interfaces/_internal_.ArtifactCacheTemplate.html">ArtifactCacheTemplate</a>.<a href="../interfaces/_internal_.ArtifactCacheTemplate.html#fetchWithCache">fetchWithCache</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L1000">runtime.ts:1000</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L1000">runtime.ts:1000</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="hasAllKeys" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>has<wbr/>All<wbr/>Keys</span><a href="#hasAllKeys" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -107,7 +107,7 @@
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol"><</span><span class="tsd-signature-type">boolean</span><span class="tsd-signature-symbol">></span></h4><aside class="tsd-sources">
<p>Implementation of <a href="../interfaces/_internal_.ArtifactCacheTemplate.html">ArtifactCacheTemplate</a>.<a href="../interfaces/_internal_.ArtifactCacheTemplate.html#hasAllKeys">hasAllKeys</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L1016">runtime.ts:1016</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L1016">runtime.ts:1016</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 10a957fb2a..7dca7aefc5 100644
--- a/docs/reference/api/typedoc/classes/DLDataType.html
+++ b/docs/reference/api/typedoc/classes/DLDataType.html
@@ -23,7 +23,7 @@
<ul class="tsd-hierarchy">
<li><span class="target">DLDataType</span></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L402">runtime.ts:402</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L402">runtime.ts:402</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
<section class="tsd-panel tsd-index-panel">
<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -62,7 +62,7 @@
<h5><span class="tsd-kind-parameter">lanes</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <a href="DLDataType.html" class="tsd-signature-type tsd-kind-class">DLDataType</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L410">runtime.ts:410</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L410">runtime.ts:410</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Properties</h2>
<section class="tsd-panel tsd-member"><a id="bits" class="tsd-anchor"></a>
@@ -71,21 +71,21 @@
<div class="tsd-comment tsd-typography"><p>Number of bits in the data type.</p>
</div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L406">runtime.ts:406</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L406">runtime.ts:406</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="code" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>code</span><a href="#code" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">code</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div>
<div class="tsd-comment tsd-typography"><p>The type code</p>
</div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L404">runtime.ts:404</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L404">runtime.ts:404</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="lanes" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>lanes</span><a href="#lanes" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">lanes</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div>
<div class="tsd-comment tsd-typography"><p>Number of vector lanes.</p>
</div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L408">runtime.ts:408</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L408">runtime.ts:408</a></li></ul></aside></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
<section class="tsd-panel tsd-member"><a id="numStorageBytes" class="tsd-anchor"></a>
@@ -95,7 +95,7 @@
<li class="tsd-description">
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L425">runtime.ts:425</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L425">runtime.ts:425</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="toString" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>to<wbr/>String</span><a href="#toString" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -103,7 +103,7 @@
<li class="tsd-description">
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">string</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L416">runtime.ts:416</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L416">runtime.ts:416</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 63dfa656f0..65401d14c6 100644
--- a/docs/reference/api/typedoc/classes/DLDevice.html
+++ b/docs/reference/api/typedoc/classes/DLDevice.html
@@ -23,7 +23,7 @@
<ul class="tsd-hierarchy">
<li><span class="target">DLDevice</span></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L342">runtime.ts:342</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L342">runtime.ts:342</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
<section class="tsd-panel tsd-index-panel">
<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -61,7 +61,7 @@
<h5><span class="tsd-kind-parameter">lib</span>: <a href="_internal_.FFILibrary.html" class="tsd-signature-type tsd-kind-class">FFILibrary</a></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <a href="DLDevice.html" class="tsd-signature-type tsd-kind-class">DLDevice</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L350">runtime.ts:350</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L350">runtime.ts:350</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Properties</h2>
<section class="tsd-panel tsd-member"><a id="deviceId" class="tsd-anchor"></a>
@@ -70,14 +70,14 @@
<div class="tsd-comment tsd-typography"><p>The device index.</p>
</div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L346">runtime.ts:346</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L346">runtime.ts:346</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="deviceType" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>device<wbr/>Type</span><a href="#deviceType" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">device<wbr/>Type</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div>
<div class="tsd-comment tsd-typography"><p>The device type code of the device.</p>
</div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L344">runtime.ts:344</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L344">runtime.ts:344</a></li></ul></aside></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
<section class="tsd-panel tsd-member"><a id="sync" class="tsd-anchor"></a>
@@ -89,7 +89,7 @@
</div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol"><</span><span class="tsd-signature-type">void</span><span class="tsd-signature-symbol">></span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L369">runtime.ts:369</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L369">runtime.ts:369</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="toString" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>to<wbr/>String</span><a href="#toString" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -97,7 +97,7 @@
<li class="tsd-description">
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">string</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L376">runtime.ts:376</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L376">runtime.ts:376</a></li></ul></aside></li></ul></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/Instance.html b/docs/reference/api/typedoc/classes/Instance.html
index c57ef6c966..df187112c0 100644
--- a/docs/reference/api/typedoc/classes/Instance.html
+++ b/docs/reference/api/typedoc/classes/Instance.html
@@ -40,7 +40,7 @@ are not tracked through JS native garbage collection mechanism.</p>
<ul class="tsd-hierarchy">
<li><a href="../interfaces/Disposable.html" class="tsd-signature-type tsd-kind-interface">Disposable</a></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L1052">runtime.ts:1052</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L1052">runtime.ts:1052</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
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<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -140,24 +140,24 @@ a WASI object, or an object containing wasmLibraryProvider field.</p>
</div></li></ul></div>
<h4 class="tsd-returns-title">Returns <a href="Instance.html" class="tsd-signature-type tsd-kind-class">Instance</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L1081">runtime.ts:1081</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L1081">runtime.ts:1081</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Properties</h2>
<section class="tsd-panel tsd-member"><a id="cacheMetadata" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>cache<wbr/>Metadata</span><a href="#cacheMetadata" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">cache<wbr/>Metadata</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type ">Record</span><span class="tsd-signature-symbol"><</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/ad3dfb4c1/web/src/runtime.ts#L1055">runtime.ts:1055</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L1055">runtime.ts:1055</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="exports" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>exports</span><a href="#exports" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">exports</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type ">Record</span><span class="tsd-signature-symbol"><</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/ad3dfb4c1/web/src/runtime.ts#L1054">runtime.ts:1054</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L1054">runtime.ts:1054</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="memory" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>memory</span><a href="#memory" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">memory</span><span class="tsd-signature-symbol">:</span> <a href="_internal_.Memory.html" class="tsd-signature-type tsd-kind-class">Memory</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L1053">runtime.ts:1053</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L1053">runtime.ts:1053</a></li></ul></aside></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
<section class="tsd-panel tsd-member"><a id="applyPresenceAndFrequencyPenalty" class="tsd-anchor"></a>
@@ -193,7 +193,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
</div></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">any</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L1784">runtime.ts:1784</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L1784">runtime.ts:1784</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="applyRepetitionPenalty" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>apply<wbr/>Repetition<wbr/>Penalty</span><a href="#applyRepetitionPenalty" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -218,7 +218,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
</div></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">any</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L1771">runtime.ts:1771</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L1771">runtime.ts:1771</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="applySoftmaxWithTemperature" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>apply<wbr/>Softmax<wbr/>With<wbr/>Temperature</span><a href="#applySoftmaxWithTemperature" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -239,7 +239,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
</div></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">any</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L1801">runtime.ts:1801</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L1801">runtime.ts:1801</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="asyncLoadWebGPUPipelines" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>async<wbr/>Load<wbr/>WebGPUPipelines</span><a href="#asyncLoadWebGPUPipelines" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -256,7 +256,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
</div></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol"><</span><span class="tsd-signature-type">void</span><span class="tsd-signature-symbol">></span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L1959">runtime.ts:1959</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L1959">runtime.ts:1959</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="attachToCurrentScope" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>attach<wbr/>To<wbr/>Current<wbr/>Scope</span><a href="#attachToCurrentScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -283,7 +283,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
</div></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type tsd-kind-type-parameter">T</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L1204">runtime.ts:1204</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L1204">runtime.ts:1204</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="beginScope" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>begin<wbr/>Scope</span><a href="#beginScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -293,7 +293,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
</div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L1163">runtime.ts:1163</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L1163">runtime.ts:1163</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="benchmark" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>benchmark</span><a href="#benchmark" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -328,7 +328,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
<h5><span class="tsd-kind-parameter">repeat</span>: <span class="tsd-signature-type">number</span><span class="tsd-signature-symbol"> = 1</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol"><</span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">[]</span><span class="tsd-signature-symbol">></span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L1122">runtime.ts:1122</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L1122">runtime.ts:1122</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="bindCanvas" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>bind<wbr/>Canvas</span><a href="#bindCanvas" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -345,7 +345,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
</div></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L1809">runtime.ts:1809</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L1809">runtime.ts:1809</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="clearCanvas" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>clear<wbr/>Canvas</span><a href="#clearCanvas" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -355,7 +355,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
</div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L1840">runtime.ts:1840</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L1840">runtime.ts:1840</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="cpu" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>cpu</span><a href="#cpu" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -372,7 +372,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
</div></li></ul></div>
<h4 class="tsd-returns-title">Returns <a href="DLDevice.html" class="tsd-signature-type tsd-kind-class">DLDevice</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L1669">runtime.ts:1669</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L1669">runtime.ts:1669</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="createVirtualMachine" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>create<wbr/>Virtual<wbr/>Machine</span><a href="#createVirtualMachine" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -390,7 +390,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
<h4 class="tsd-returns-title">Returns <a href="VirtualMachine.html" class="tsd-signature-type tsd-kind-class">VirtualMachine</a></h4><p>The created virtual machime.</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L1382">runtime.ts:1382</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L1382">runtime.ts:1382</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="detachFromCurrentScope" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>detach<wbr/>From<wbr/>Current<wbr/>Scope</span><a href="#detachFromCurrentScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -416,7 +416,7 @@ so it won't be released via auto-release during endscope.</p>
</div></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type tsd-kind-type-parameter">T</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L1231">runtime.ts:1231</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L1231">runtime.ts:1231</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="device" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>device</span><a href="#device" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -438,7 +438,7 @@ so it won't be released via auto-release during endscope.</p>
<h4 class="tsd-returns-title">Returns <a href="DLDevice.html" class="tsd-signature-type tsd-kind-class">DLDevice</a></h4><p>The created device.</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L1661">runtime.ts:1661</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L1661">runtime.ts:1661</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>dispose</span><a href="#dispose" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -451,7 +451,7 @@ only the first call will take effect.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L1143">runtime.ts:1143</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L1143">runtime.ts:1143</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="empty" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>empty</span><a href="#empty" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -477,7 +477,7 @@ only the first call will take effect.</p>
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<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L1689">runtime.ts:1689</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L1689">runtime.ts:1689</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="endScope" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>end<wbr/>Scope</span><a href="#endScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -490,7 +490,7 @@ a value to parent scope.</p>
</div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L1174">runtime.ts:1174</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L1174">runtime.ts:1174</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="fetchNDArrayCache" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>fetchNDArray<wbr/>Cache</span><a href="#fetchNDArrayCache" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -516,7 +516,7 @@ a value to parent scope.</p>
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<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L1473">runtime.ts:1473</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L1473">runtime.ts:1473</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="getGlobalFunc" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get<wbr/>Global<wbr/>Func</span><a href="#getGlobalFunc" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -534,7 +534,7 @@ a value to parent scope.</p>
<h4 class="tsd-returns-title">Returns <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></h4><p>The result function.</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L1319">runtime.ts:1319</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L1319">runtime.ts:1319</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="getParamsFromCache" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get<wbr/>Params<wbr/>From<wbr/>Cache</span><a href="#getParamsFromCache" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -555,7 +555,7 @@ a value to parent scope.</p>
</div></li></ul></div>
<h4 class="tsd-returns-title">Returns <a href="TVMObject.html" class="tsd-signature-type tsd-kind-class">TVMObject</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L1410">runtime.ts:1410</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L1410">runtime.ts:1410</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="getParamsFromCacheByName" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get<wbr/>Params<wbr/>From<wbr/>Cache<wbr/>By<wbr/>Name</span><a href="#getParamsFromCacheByName" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -573,7 +573,7 @@ a value to parent scope.</p>
<h4 class="tsd-returns-title">Returns <a href="TVMObject.html" class="tsd-signature-type tsd-kind-class">TVMObject</a></h4><p>Parameters read.</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L1421">runtime.ts:1421</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L1421">runtime.ts:1421</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="initWebGPU" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>init<wbr/>WebGPU</span><a href="#initWebGPU" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -590,7 +590,7 @@ a value to parent scope.</p>
</div></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L2024">runtime.ts:2024</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L2024">runtime.ts:2024</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="isPackedFunc" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>is<wbr/>Packed<wbr/>Func</span><a href="#isPackedFunc" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -608,7 +608,7 @@ a value to parent scope.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">boolean</span></h4><p>The check result.</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L1354">runtime.ts:1354</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L1354">runtime.ts:1354</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="listGlobalFuncNames" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>list<wbr/>Global<wbr/>Func<wbr/>Names</span><a href="#listGlobalFuncNames" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -619,7 +619,7 @@ a value to parent scope.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">[]</span></h4><p>The name list.</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L1247">runtime.ts:1247</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L1247">runtime.ts:1247</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="makeShapeTuple" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>make<wbr/>Shape<wbr/>Tuple</span><a href="#makeShapeTuple" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -637,7 +637,7 @@ a value to parent scope.</p>
<h4 class="tsd-returns-title">Returns <a href="TVMObject.html" class="tsd-signature-type tsd-kind-class">TVMObject</a></h4><p>The created shape tuple.</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L1874">runtime.ts:1874</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L1874">runtime.ts:1874</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="makeString" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>make<wbr/>String</span><a href="#makeString" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -655,7 +655,7 @@ a value to parent scope.</p>
<h4 class="tsd-returns-title">Returns <a href="_internal_.TVMString.html" class="tsd-signature-type tsd-kind-class">TVMString</a></h4><p>The result TVMString.</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L1865">runtime.ts:1865</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L1865">runtime.ts:1865</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="makeTVMArray" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>makeTVMArray</span><a href="#makeTVMArray" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -675,7 +675,7 @@ and needs to b explicitly disposed.</p>
<h4 class="tsd-returns-title">Returns <a href="TVMArray.html" class="tsd-signature-type tsd-kind-class">TVMArray</a></h4><p>The result array.</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L1853">runtime.ts:1853</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L1853">runtime.ts:1853</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="moveToParentScope" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>move<wbr/>To<wbr/>Parent<wbr/>Scope</span><a href="#moveToParentScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -700,7 +700,7 @@ alive when exit the current scope.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type tsd-kind-type-parameter">T</span></h4><p>The input obj.</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L1217">runtime.ts:1217</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L1217">runtime.ts:1217</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="ndarrayCacheClear" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>ndarray<wbr/>Cache<wbr/>Clear</span><a href="#ndarrayCacheClear" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -710,7 +710,7 @@ alive when exit the current scope.</p>
</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/ad3dfb4c1/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/9fd3461c3/web/src/runtime.ts#L1461">runtime.ts:1461</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="ndarrayCacheGet" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>ndarray<wbr/>Cache<wbr/>Get</span><a href="#ndarrayCacheGet" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -728,7 +728,7 @@ alive when exit the current scope.</p>
<h4 class="tsd-returns-title">Returns <a href="NDArray.html" class="tsd-signature-type tsd-kind-class">NDArray</a></h4><p>The result.</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L1434">runtime.ts:1434</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L1434">runtime.ts:1434</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="ndarrayCacheRemove" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>ndarray<wbr/>Cache<wbr/>Remove</span><a href="#ndarrayCacheRemove" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -746,7 +746,7 @@ alive when exit the current scope.</p>
<h4 class="tsd-returns-title">Returns <a href="NDArray.html" class="tsd-signature-type tsd-kind-class">NDArray</a></h4><p>The result.</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L1443">runtime.ts:1443</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L1443">runtime.ts:1443</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="ndarrayCacheUpdate" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>ndarray<wbr/>Cache<wbr/>Update</span><a href="#ndarrayCacheUpdate" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -769,7 +769,7 @@ alive when exit the current scope.</p>
<h5><span class="tsd-kind-parameter">override</span>: <span class="tsd-signature-type">boolean</span><span class="tsd-signature-symbol"> = false</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L1452">runtime.ts:1452</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L1452">runtime.ts:1452</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="registerAsyncServerFunc" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>register<wbr/>Async<wbr/>Server<wbr/>Func</span><a href="#registerAsyncServerFunc" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -796,7 +796,7 @@ alive when exit the current scope.</p>
</div></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L1932">runtime.ts:1932</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L1932">runtime.ts:1932</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="registerFunc" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>register<wbr/>Func</span><a href="#registerFunc" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -819,7 +819,7 @@ alive when exit the current scope.</p>
</div></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L1286">runtime.ts:1286</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L1286">runtime.ts:1286</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="registerInitProgressCallback" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>register<wbr/>Init<wbr/>Progress<wbr/>Callback</span><a href="#registerInitProgressCallback" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -836,7 +836,7 @@ alive when exit the current scope.</p>
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<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L1399">runtime.ts:1399</a></li></ul></aside></li></ul></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L1911">runtime.ts:1911</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="runtimeStatsText" class="tsd-anchor"></a>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L1152">runtime.ts:1152</a></li></ul></aside></li></ul></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L1761">runtime.ts:1761</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="scalar" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>scalar</span><a href="#scalar" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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<ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L1651">runtime.ts:1651</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="setPackedArguments" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>set<wbr/>Packed<wbr/>Arguments</span><a href="#setPackedArguments" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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<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/ad3dfb4c1/web/src/runtime.ts#L2157">runtime.ts:2157</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L2157">runtime.ts:2157</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="showImage" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>show<wbr/>Image</span><a href="#showImage" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -966,7 +966,7 @@ Allocate new temporary space from the stack if necessary.</p>
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<ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L1818">runtime.ts:1818</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="systemLib" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>system<wbr/>Lib</span><a href="#systemLib" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L1240">runtime.ts:1240</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="toDLDataType" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>toDLData<wbr/>Type</span><a href="#toDLDataType" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -996,7 +996,7 @@ System lib is a global module that contains self register functions in startup.<
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<ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L1605">runtime.ts:1605</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="toPackedFunc" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>to<wbr/>Packed<wbr/>Func</span><a href="#toPackedFunc" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -1014,7 +1014,7 @@ System lib is a global module that contains self register functions in startup.<
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<ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L1365">runtime.ts:1365</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="typeKey2Index" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>type<wbr/>Key2<wbr/>Index</span><a href="#typeKey2Index" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -1032,7 +1032,7 @@ System lib is a global module that contains self register functions in startup.<
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<ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L1883">runtime.ts:1883</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="uniform" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>uniform</span><a href="#uniform" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -1062,7 +1062,7 @@ System lib is a global module that contains self register functions in startup.<
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<ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L1735">runtime.ts:1735</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="webgpu" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>webgpu</span><a href="#webgpu" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -1079,7 +1079,7 @@ System lib is a global module that contains self register functions in startup.<
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<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L1677">runtime.ts:1677</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L1677">runtime.ts:1677</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="withNewScope" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>with<wbr/>New<wbr/>Scope</span><a href="#withNewScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L1188">runtime.ts:1188</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L1188">runtime.ts:1188</a></li></ul></aside></li></ul></section></section></div>
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<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/Module.html b/docs/reference/api/typedoc/classes/Module.html
index 80672fa50e..de2034b3c5 100644
--- a/docs/reference/api/typedoc/classes/Module.html
+++ b/docs/reference/api/typedoc/classes/Module.html
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L690">runtime.ts:690</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L690">runtime.ts:690</a></li></ul></aside>
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<section class="tsd-panel tsd-index-panel">
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<h4 class="tsd-returns-title">Returns <a href="Module.html" class="tsd-signature-type tsd-kind-class">Module</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L695">runtime.ts:695</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L695">runtime.ts:695</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>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L705">runtime.ts:705</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L705">runtime.ts:705</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="getFunction" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get<wbr/>Function</span><a href="#getFunction" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -110,7 +110,7 @@ only the first call will take effect.</p>
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<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L733">runtime.ts:733</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L733">runtime.ts:733</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="getHandle" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get<wbr/>Handle</span><a href="#getHandle" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -128,7 +128,7 @@ only the first call will take effect.</p>
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<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L720">runtime.ts:720</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L720">runtime.ts:720</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="importModule" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>import<wbr/>Module</span><a href="#importModule" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -145,7 +145,7 @@ only the first call will take effect.</p>
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<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L767">runtime.ts:767</a></li></ul></aside></li></ul></section></section></div>
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<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/NDArray.html b/docs/reference/api/typedoc/classes/NDArray.html
index e928ef0b3a..3b06872345 100644
--- a/docs/reference/api/typedoc/classes/NDArray.html
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<li><a href="../interfaces/Disposable.html" class="tsd-signature-type tsd-kind-interface">Disposable</a></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L433">runtime.ts:433</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L433">runtime.ts:433</a></li></ul></aside>
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<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/ad3dfb4c1/web/src/runtime.ts#L453">runtime.ts:453</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L453">runtime.ts:453</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>
@@ -85,35 +85,35 @@
<div class="tsd-comment tsd-typography"><p>Device of the array.</p>
</div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L443">runtime.ts:443</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L443">runtime.ts:443</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 class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">dtype</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">string</span></div>
<div class="tsd-comment tsd-typography"><p>Data type of the array.</p>
</div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L439">runtime.ts:439</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L439">runtime.ts:439</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 class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">is<wbr/>View</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">boolean</span></div>
<div class="tsd-comment tsd-typography"><p>Whether it is a temporary view that can become invalid after the call.</p>
</div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L445">runtime.ts:445</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L445">runtime.ts:445</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 class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">ndim</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div>
<div class="tsd-comment tsd-typography"><p>Number of dimensions.</p>
</div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L437">runtime.ts:437</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L437">runtime.ts:437</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="shape" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>shape</span><a href="#shape" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<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>
<div class="tsd-comment tsd-typography"><p>Shape of the array.</p>
</div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L441">runtime.ts:441</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L441">runtime.ts:441</a></li></ul></aside></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
<section class="tsd-panel tsd-member"><a id="copyFrom" class="tsd-anchor"></a>
@@ -134,7 +134,7 @@ The number of elements must match.</p>
<h4 class="tsd-returns-title">Returns <a href="NDArray.html" class="tsd-signature-type tsd-kind-class">NDArray</a></h4><p>this</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L553">runtime.ts:553</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L553">runtime.ts:553</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="copyFromRawBytes" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>copy<wbr/>From<wbr/>Raw<wbr/>Bytes</span><a href="#copyFromRawBytes" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -152,7 +152,7 @@ The number of elements must match.</p>
<h4 class="tsd-returns-title">Returns <a href="NDArray.html" class="tsd-signature-type tsd-kind-class">NDArray</a></h4><p>this</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L597">runtime.ts:597</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L597">runtime.ts:597</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>dispose</span><a href="#dispose" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -165,7 +165,7 @@ only the first call will take effect.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L538">runtime.ts:538</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L538">runtime.ts:538</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="getDataPtr" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get<wbr/>Data<wbr/>Ptr</span><a href="#getDataPtr" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -176,7 +176,7 @@ only the first call will take effect.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><p>The handle.</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L531">runtime.ts:531</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L531">runtime.ts:531</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="getHandle" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get<wbr/>Handle</span><a href="#getHandle" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -194,7 +194,7 @@ only the first call will take effect.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><p>The handle.</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L519">runtime.ts:519</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L519">runtime.ts:519</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="toArray" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>to<wbr/>Array</span><a href="#toArray" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -206,7 +206,7 @@ the dtype of the NDArray.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Uint8Array</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type ">Int32Array</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type ">Float32Array</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type ">Float64Array</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type ">Int8Array</span></h4><p>The resu [...]
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L663">runtime.ts:663</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L663">runtime.ts:663</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="toRawBytes" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>to<wbr/>Raw<wbr/>Bytes</span><a href="#toRawBytes" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -217,7 +217,7 @@ the dtype of the NDArray.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Uint8Array</span></h4><p>The result array.</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L632">runtime.ts:632</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L632">runtime.ts:632</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="view" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>view</span><a href="#view" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -235,7 +235,7 @@ the dtype of the NDArray.</p>
<h4 class="tsd-returns-title">Returns <a href="NDArray.html" class="tsd-signature-type tsd-kind-class">NDArray</a></h4><p>The new sliced ndarray.</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L508">runtime.ts:508</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L508">runtime.ts:508</a></li></ul></aside></li></ul></section></section></div>
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<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/RPCServer.html b/docs/reference/api/typedoc/classes/RPCServer.html
index 2edf4cb7f9..50e53bcd6e 100644
--- a/docs/reference/api/typedoc/classes/RPCServer.html
+++ b/docs/reference/api/typedoc/classes/RPCServer.html
@@ -23,7 +23,7 @@
<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/ad3dfb4c1/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/9fd3461c3/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">
@@ -98,7 +98,7 @@
<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/ad3dfb4c1/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/9fd3461c3/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>
@@ -113,12 +113,12 @@
<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/ad3dfb4c1/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/9fd3461c3/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 class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">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/ad3dfb4c1/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/9fd3461c3/web/src/rpc_server.ts#L79">rpc_server.ts:79</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="logger" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>logger</span><a href="#logger" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">logger</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">(</span><span class="tsd-signature-symbol">(</span><span class="tsd-kind-parameter">msg</span><span class="tsd-signature-symbol">)</span><span class="tsd-signature-symbol"> => </span><span class="tsd-signature-type">void</span><span class="tsd-signature-symbol">)</span></div>
@@ -136,22 +136,22 @@
<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/ad3dfb4c1/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/9fd3461c3/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 class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">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/ad3dfb4c1/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/9fd3461c3/web/src/rpc_server.ts#L80">rpc_server.ts:80</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="state" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>state</span><a href="#state" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">state</span><span class="tsd-signature-symbol">:</span> <a href="../enums/_internal_.RPCServerState.html" class="tsd-signature-type tsd-kind-enum">RPCServerState</a><span class="tsd-signature-symbol"> = RPCServerState.InitHeader</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/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/9fd3461c3/web/src/rpc_server.ts#L81">rpc_server.ts:81</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="url" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>url</span><a href="#url" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">url</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">string</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/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/9fd3461c3/web/src/rpc_server.ts#L78">rpc_server.ts:78</a></li></ul></aside></section></section></div>
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<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/Scalar.html b/docs/reference/api/typedoc/classes/Scalar.html
index efb22cec80..734b5c0ae8 100644
--- a/docs/reference/api/typedoc/classes/Scalar.html
+++ b/docs/reference/api/typedoc/classes/Scalar.html
@@ -24,7 +24,7 @@ argument to PackedFunc calls.</p>
<ul class="tsd-hierarchy">
<li><span class="target">Scalar</span></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L280">runtime.ts:280</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L280">runtime.ts:280</a></li></ul></aside>
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@@ -55,7 +55,7 @@ argument to PackedFunc calls.</p>
<h5><span class="tsd-kind-parameter">dtype</span>: <span class="tsd-signature-type">string</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <a href="Scalar.html" class="tsd-signature-type tsd-kind-class">Scalar</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L286">runtime.ts:286</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L286">runtime.ts:286</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Properties</h2>
<section class="tsd-panel tsd-member"><a id="dtype" class="tsd-anchor"></a>
@@ -64,14 +64,14 @@ argument to PackedFunc calls.</p>
<div class="tsd-comment tsd-typography"><p>The data type of the scalar.</p>
</div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L284">runtime.ts:284</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L284">runtime.ts:284</a></li></ul></aside></section>
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<h3 class="tsd-anchor-link"><span>value</span><a href="#value" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">value</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div>
<div class="tsd-comment tsd-typography"><p>The value.</p>
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<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L282">runtime.ts:282</a></li></ul></aside></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L282">runtime.ts:282</a></li></ul></aside></section></section></div>
<div class="col-sidebar">
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diff --git a/docs/reference/api/typedoc/classes/TVMArray.html b/docs/reference/api/typedoc/classes/TVMArray.html
index e040bf3b8c..a5ba8b7be8 100644
--- a/docs/reference/api/typedoc/classes/TVMArray.html
+++ b/docs/reference/api/typedoc/classes/TVMArray.html
@@ -25,7 +25,7 @@
<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/ad3dfb4c1/web/src/runtime.ts#L864">runtime.ts:864</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L864">runtime.ts:864</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
<section class="tsd-panel tsd-index-panel">
<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -63,7 +63,7 @@
<h4 class="tsd-returns-title">Returns <a href="TVMArray.html" class="tsd-signature-type tsd-kind-class">TVMArray</a></h4><aside class="tsd-sources">
<p>Overrides <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#constructor">constructor</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L865">runtime.ts:865</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L865">runtime.ts:865</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
<section class="tsd-panel tsd-member tsd-is-inherited"><a id="dispose" class="tsd-anchor"></a>
@@ -78,7 +78,7 @@ only the first call will take effect.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<p>Inherited from <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#dispose">dispose</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L795">runtime.ts:795</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L795">runtime.ts:795</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="get" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get</span><a href="#get" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -96,7 +96,7 @@ only the first call will take effect.</p>
<h4 class="tsd-returns-title">Returns <a href="../types/_internal_.TVMObjectBase.html" class="tsd-signature-type tsd-kind-type-alias">TVMObjectBase</a></h4><p>The element.</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L884">runtime.ts:884</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L884">runtime.ts:884</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member tsd-is-inherited"><a id="getHandle" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get<wbr/>Handle</span><a href="#getHandle" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures tsd-is-inherited">
@@ -115,7 +115,7 @@ only the first call will take effect.</p>
<aside class="tsd-sources">
<p>Inherited from <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#getHandle">getHandle</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L810">runtime.ts:810</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L810">runtime.ts:810</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="size" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>size</span><a href="#size" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -125,7 +125,7 @@ only the first call will take effect.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><p>the size of the array.</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L876">runtime.ts:876</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L876">runtime.ts:876</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member tsd-is-inherited"><a id="typeIndex" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>type<wbr/>Index</span><a href="#typeIndex" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures tsd-is-inherited">
@@ -136,7 +136,7 @@ only the first call will take effect.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
<p>Inherited from <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#typeIndex">typeIndex</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L818">runtime.ts:818</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L818">runtime.ts:818</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member tsd-is-inherited"><a id="typeKey" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>type<wbr/>Key</span><a href="#typeKey" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures tsd-is-inherited">
@@ -147,7 +147,7 @@ only the first call will take effect.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">string</span></h4><aside class="tsd-sources">
<p>Inherited from <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#typeKey">typeKey</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L838">runtime.ts:838</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L838">runtime.ts:838</a></li></ul></aside></li></ul></section></section></div>
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<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/TVMObject.html b/docs/reference/api/typedoc/classes/TVMObject.html
index e7c6ea2e8b..d989fee74e 100644
--- a/docs/reference/api/typedoc/classes/TVMObject.html
+++ b/docs/reference/api/typedoc/classes/TVMObject.html
@@ -30,7 +30,7 @@
<ul class="tsd-hierarchy">
<li><a href="../interfaces/Disposable.html" class="tsd-signature-type tsd-kind-interface">Disposable</a></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L780">runtime.ts:780</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L780">runtime.ts:780</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
<section class="tsd-panel tsd-index-panel">
<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -65,7 +65,7 @@
<h5><span class="tsd-kind-parameter">ctx</span>: <a href="_internal_.RuntimeContext.html" class="tsd-signature-type tsd-kind-class">RuntimeContext</a></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <a href="TVMObject.html" class="tsd-signature-type tsd-kind-class">TVMObject</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L785">runtime.ts:785</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L785">runtime.ts:785</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
<section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
@@ -80,7 +80,7 @@ only the first call will take effect.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L795">runtime.ts:795</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L795">runtime.ts:795</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="getHandle" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get<wbr/>Handle</span><a href="#getHandle" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -98,7 +98,7 @@ only the first call will take effect.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><p>The handle.</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L810">runtime.ts:810</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L810">runtime.ts:810</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="typeIndex" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>type<wbr/>Index</span><a href="#typeIndex" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -108,7 +108,7 @@ only the first call will take effect.</p>
</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/ad3dfb4c1/web/src/runtime.ts#L818">runtime.ts:818</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L818">runtime.ts:818</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="typeKey" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>type<wbr/>Key</span><a href="#typeKey" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -118,7 +118,7 @@ only the first call will take effect.</p>
</div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">string</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L838">runtime.ts:838</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L838">runtime.ts:838</a></li></ul></aside></li></ul></section></section></div>
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<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/VirtualMachine.html b/docs/reference/api/typedoc/classes/VirtualMachine.html
index da53e02718..52284b9bc1 100644
--- a/docs/reference/api/typedoc/classes/VirtualMachine.html
+++ b/docs/reference/api/typedoc/classes/VirtualMachine.html
@@ -30,7 +30,7 @@
<ul class="tsd-hierarchy">
<li><a href="../interfaces/Disposable.html" class="tsd-signature-type tsd-kind-interface">Disposable</a></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L919">runtime.ts:919</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L919">runtime.ts:919</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
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<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -68,7 +68,7 @@
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<h4 class="tsd-returns-title">Returns <a href="VirtualMachine.html" class="tsd-signature-type tsd-kind-class">VirtualMachine</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L926">runtime.ts:926</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L926">runtime.ts:926</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
<section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
@@ -83,7 +83,7 @@ only the first call will take effect.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L939">runtime.ts:939</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L939">runtime.ts:939</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="getFunction" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get<wbr/>Function</span><a href="#getFunction" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -101,7 +101,7 @@ only the first call will take effect.</p>
<h4 class="tsd-returns-title">Returns <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></h4><p>The result function.</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L947">runtime.ts:947</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L947">runtime.ts:947</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="getInternalModule" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get<wbr/>Internal<wbr/>Module</span><a href="#getInternalModule" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -111,7 +111,7 @@ only the first call will take effect.</p>
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<h4 class="tsd-returns-title">Returns <a href="Module.html" class="tsd-signature-type tsd-kind-class">Module</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L954">runtime.ts:954</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L954">runtime.ts:954</a></li></ul></aside></li></ul></section></section></div>
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<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/_internal_.CachedCallStack.html b/docs/reference/api/typedoc/classes/_internal_.CachedCallStack.html
index 7ddb2cfe80..a610801e6c 100644
--- a/docs/reference/api/typedoc/classes/_internal_.CachedCallStack.html
+++ b/docs/reference/api/typedoc/classes/_internal_.CachedCallStack.html
@@ -36,7 +36,7 @@ can still call into storeXX</li>
<ul class="tsd-hierarchy">
<li><a href="../interfaces/Disposable.html" class="tsd-signature-type tsd-kind-interface">Disposable</a></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/memory.ts#L206">memory.ts:206</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/memory.ts#L206">memory.ts:206</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
<section class="tsd-panel tsd-index-panel">
<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -86,7 +86,7 @@ can still call into storeXX</li>
<h5><span class="tsd-kind-parameter">freeSpace</span>: <a href="../types/_internal_.FTVMWasmFreeSpace.html" class="tsd-signature-type tsd-kind-type-alias">FTVMWasmFreeSpace</a></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <a href="_internal_.CachedCallStack.html" class="tsd-signature-type tsd-kind-class">CachedCallStack</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/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/9fd3461c3/web/src/memory.ts#L225">memory.ts:225</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Properties</h2>
<section class="tsd-panel tsd-member"><a id="tempArgs" class="tsd-anchor"></a>
@@ -95,7 +95,7 @@ can still call into storeXX</li>
<div class="tsd-comment tsd-typography"><p>List of temporay arguments that can be disposed during reset.</p>
</div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/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/9fd3461c3/web/src/memory.ts#L208">memory.ts:208</a></li></ul></aside></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
<section class="tsd-panel tsd-member"><a id="allocPtrArray" class="tsd-anchor"></a>
@@ -115,7 +115,7 @@ can still call into storeXX</li>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><p>The allocated pointer array.</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/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/9fd3461c3/web/src/memory.ts#L312">memory.ts:312</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="allocRawBytes" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>alloc<wbr/>Raw<wbr/>Bytes</span><a href="#allocRawBytes" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -134,7 +134,7 @@ can still call into storeXX</li>
</div></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/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/9fd3461c3/web/src/memory.ts#L284">memory.ts:284</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="allocThenSetArgBytes" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>alloc<wbr/>Then<wbr/>Set<wbr/>Arg<wbr/>Bytes</span><a href="#allocThenSetArgBytes" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -156,7 +156,7 @@ Allocate new temporary space for bytes.</p>
</div></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/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/9fd3461c3/web/src/memory.ts#L389">memory.ts:389</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="allocThenSetArgString" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>alloc<wbr/>Then<wbr/>Set<wbr/>Arg<wbr/>String</span><a href="#allocThenSetArgString" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -180,7 +180,7 @@ and will be filled when we commit the data.</p>
</div></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/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/9fd3461c3/web/src/memory.ts#L377">memory.ts:377</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="commitToWasmMemory" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>commit<wbr/>To<wbr/>Wasm<wbr/>Memory</span><a href="#commitToWasmMemory" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -199,7 +199,7 @@ No further store function should be called.</p>
</div></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/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/9fd3461c3/web/src/memory.ts#L267">memory.ts:267</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>dispose</span><a href="#dispose" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -212,7 +212,7 @@ only the first call will take effect.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/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/9fd3461c3/web/src/memory.ts#L243">memory.ts:243</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="ptrFromOffset" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>ptr<wbr/>From<wbr/>Offset</span><a href="#ptrFromOffset" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -230,7 +230,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
</div></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/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/9fd3461c3/web/src/memory.ts#L321">memory.ts:321</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="reset" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>reset</span><a href="#reset" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -240,7 +240,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
</div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/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/9fd3461c3/web/src/memory.ts#L252">memory.ts:252</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="storeF64" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>store<wbr/>F64</span><a href="#storeF64" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -255,7 +255,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
<h5><span class="tsd-kind-parameter">value</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/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/9fd3461c3/web/src/memory.ts#L360">memory.ts:360</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="storeI32" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>store<wbr/>I32</span><a href="#storeI32" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -270,7 +270,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
<h5><span class="tsd-kind-parameter">value</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/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/9fd3461c3/web/src/memory.ts#L342">memory.ts:342</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="storeI64" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>store<wbr/>I64</span><a href="#storeI64" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -285,7 +285,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
<h5><span class="tsd-kind-parameter">value</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/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/9fd3461c3/web/src/memory.ts#L350">memory.ts:350</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="storePtr" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>store<wbr/>Ptr</span><a href="#storePtr" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -300,7 +300,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
<h5><span class="tsd-kind-parameter">value</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/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/9fd3461c3/web/src/memory.ts#L326">memory.ts:326</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="storeRawBytes" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>store<wbr/>Raw<wbr/>Bytes</span><a href="#storeRawBytes" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -315,7 +315,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
<h5><span class="tsd-kind-parameter">bytes</span>: <span class="tsd-signature-type ">Uint8Array</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/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/9fd3461c3/web/src/memory.ts#L364">memory.ts:364</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="storeU32" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>store<wbr/>U32</span><a href="#storeU32" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -330,7 +330,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
<h5><span class="tsd-kind-parameter">value</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/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/9fd3461c3/web/src/memory.ts#L346">memory.ts:346</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="storeUSize" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>storeUSize</span><a href="#storeUSize" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -345,7 +345,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
<h5><span class="tsd-kind-parameter">value</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/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/9fd3461c3/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 1368527d0b..afae288b24 100644
--- a/docs/reference/api/typedoc/classes/_internal_.CanvasRenderManager.html
+++ b/docs/reference/api/typedoc/classes/_internal_.CanvasRenderManager.html
@@ -29,7 +29,7 @@ which needs to be explicitly disposed.</p>
<ul class="tsd-hierarchy">
<li><a href="../interfaces/Disposable.html" class="tsd-signature-type tsd-kind-interface">Disposable</a></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/webgpu.ts#L168">webgpu.ts:168</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/webgpu.ts#L168">webgpu.ts:168</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
<section class="tsd-panel tsd-index-panel">
<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -61,7 +61,7 @@ which needs to be explicitly disposed.</p>
<h5><span class="tsd-kind-parameter">canvas</span>: <span class="tsd-signature-type ">HTMLCanvasElement</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <a href="_internal_.CanvasRenderManager.html" class="tsd-signature-type tsd-kind-class">CanvasRenderManager</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/webgpu.ts#L177">webgpu.ts:177</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/webgpu.ts#L177">webgpu.ts:177</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
<section class="tsd-panel tsd-member"><a id="clear" class="tsd-anchor"></a>
@@ -71,7 +71,7 @@ which needs to be explicitly disposed.</p>
<li class="tsd-description">
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/webgpu.ts#L251">webgpu.ts:251</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/webgpu.ts#L251">webgpu.ts:251</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>dispose</span><a href="#dispose" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -84,7 +84,7 @@ only the first call will take effect.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/webgpu.ts#L327">webgpu.ts:327</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/webgpu.ts#L327">webgpu.ts:327</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="draw" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>draw</span><a href="#draw" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -101,7 +101,7 @@ only the first call will take effect.</p>
<h5><span class="tsd-kind-parameter">width</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/webgpu.ts#L277">webgpu.ts:277</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/webgpu.ts#L277">webgpu.ts:277</a></li></ul></aside></li></ul></section></section></div>
<div class="col-sidebar">
<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/_internal_.Environment.html b/docs/reference/api/typedoc/classes/_internal_.Environment.html
index e9e5b37ea3..fb389f0305 100644
--- a/docs/reference/api/typedoc/classes/_internal_.Environment.html
+++ b/docs/reference/api/typedoc/classes/_internal_.Environment.html
@@ -28,7 +28,7 @@
<ul class="tsd-hierarchy">
<li><a href="../interfaces/LibraryProvider.html" class="tsd-signature-type tsd-kind-interface">LibraryProvider</a></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/environment.ts#L68">environment.ts:68</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/environment.ts#L68">environment.ts:68</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
<section class="tsd-panel tsd-index-panel">
<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -76,7 +76,7 @@
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4></li></ul></li></ul></li></ul></div>
<h4 class="tsd-returns-title">Returns <a href="_internal_.Environment.html" class="tsd-signature-type tsd-kind-class">Environment</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/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/9fd3461c3/web/src/environment.ts#L88">environment.ts:88</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Properties</h2>
<section class="tsd-panel tsd-member"><a id="imports" class="tsd-anchor"></a>
@@ -86,7 +86,7 @@
</div><aside class="tsd-sources">
<p>Implementation of <a href="../interfaces/LibraryProvider.html">LibraryProvider</a>.<a href="../interfaces/LibraryProvider.html#imports">imports</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/environment.ts#L70">environment.ts:70</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/environment.ts#L70">environment.ts:70</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="logger" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>logger</span><a href="#logger" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">logger</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">(</span><span class="tsd-signature-symbol">(</span><span class="tsd-kind-parameter">msg</span><span class="tsd-signature-symbol">)</span><span class="tsd-signature-symbol"> => </span><span class="tsd-signature-type">void</span><span class="tsd-signature-symbol">)</span></div>
@@ -104,7 +104,7 @@
<h5><span class="tsd-kind-parameter">msg</span>: <span class="tsd-signature-type">string</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4></li></ul></li></ul></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/environment.ts#L69">environment.ts:69</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/environment.ts#L69">environment.ts:69</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="packedCFuncTable" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>packedCFunc<wbr/>Table</span><a href="#packedCFuncTable" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">packedCFunc<wbr/>Table</span><span class="tsd-signature-symbol">:</span> <a href="../types/_internal_.FTVMWasmPackedCFunc.html" class="tsd-signature-type tsd-kind-type-alias">FTVMWasmPackedCFunc</a><span class="tsd-signature-symbol">[]</span><span class="tsd-signature-symbol"> = ...</span></div>
@@ -114,14 +114,14 @@ can call via TVMWasmPackedCFunc.</p>
of functions that do not maps to the address space.</p>
</div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/environment.ts#L78">environment.ts:78</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/environment.ts#L78">environment.ts:78</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="packedCFuncTableFreeId" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>packedCFunc<wbr/>Table<wbr/>Free<wbr/>Id</span><a href="#packedCFuncTableFreeId" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">packedCFunc<wbr/>Table<wbr/>Free<wbr/>Id</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">[]</span><span class="tsd-signature-symbol"> = []</span></div>
<div class="tsd-comment tsd-typography"><p>Free table index that can be recycled.</p>
</div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/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/9fd3461c3/web/src/environment.ts#L84">environment.ts:84</a></li></ul></aside></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
<section class="tsd-panel tsd-member"><a id="start" class="tsd-anchor"></a>
@@ -139,7 +139,7 @@ of functions that do not maps to the address space.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<p>Implementation of <a href="../interfaces/LibraryProvider.html">LibraryProvider</a>.<a href="../interfaces/LibraryProvider.html#start">start</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/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/9fd3461c3/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 7b93d6d359..7bf1221d13 100644
--- a/docs/reference/api/typedoc/classes/_internal_.FFILibrary.html
+++ b/docs/reference/api/typedoc/classes/_internal_.FFILibrary.html
@@ -28,7 +28,7 @@
<ul class="tsd-hierarchy">
<li><a href="../interfaces/Disposable.html" class="tsd-signature-type tsd-kind-interface">Disposable</a></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L44">runtime.ts:44</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L44">runtime.ts:44</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
<section class="tsd-panel tsd-index-panel">
<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -69,29 +69,29 @@
<h5><span class="tsd-kind-parameter">imports</span>: <span class="tsd-signature-type ">Record</span><span class="tsd-signature-symbol"><</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/ad3dfb4c1/web/src/runtime.ts#L52">runtime.ts:52</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L52">runtime.ts:52</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Properties</h2>
<section class="tsd-panel tsd-member"><a id="exports" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>exports</span><a href="#exports" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">exports</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type ">Record</span><span class="tsd-signature-symbol"><</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/ad3dfb4c1/web/src/runtime.ts#L47">runtime.ts:47</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L47">runtime.ts:47</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="memory" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>memory</span><a href="#memory" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">memory</span><span class="tsd-signature-symbol">:</span> <a href="_internal_.Memory.html" class="tsd-signature-type tsd-kind-class">Memory</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L46">runtime.ts:46</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L46">runtime.ts:46</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="wasm32" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>wasm32</span><a href="#wasm32" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">wasm32</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">boolean</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L45">runtime.ts:45</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L45">runtime.ts:45</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="webGPUContext" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><code class="tsd-tag ts-flagOptional">Optional</code> <span>webGPUContext</span><a href="#webGPUContext" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">webGPUContext</span><span class="tsd-signature-symbol">?:</span> <a href="_internal_.WebGPUContext.html" class="tsd-signature-type tsd-kind-class">WebGPUContext</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L48">runtime.ts:48</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L48">runtime.ts:48</a></li></ul></aside></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
<section class="tsd-panel tsd-member"><a id="checkCall" class="tsd-anchor"></a>
@@ -106,7 +106,7 @@
<h5><span class="tsd-kind-parameter">code</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L78">runtime.ts:78</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L78">runtime.ts:78</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>dispose</span><a href="#dispose" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -119,7 +119,7 @@ only the first call will take effect.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L67">runtime.ts:67</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L67">runtime.ts:67</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="getOrAllocCallStack" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get<wbr/>Or<wbr/>Alloc<wbr/>Call<wbr/>Stack</span><a href="#getOrAllocCallStack" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -127,7 +127,7 @@ only the first call will take effect.</p>
<li class="tsd-description">
<h4 class="tsd-returns-title">Returns <a href="_internal_.CachedCallStack.html" class="tsd-signature-type tsd-kind-class">CachedCallStack</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L87">runtime.ts:87</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L87">runtime.ts:87</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="recycleCallStack" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>recycle<wbr/>Call<wbr/>Stack</span><a href="#recycleCallStack" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -140,7 +140,7 @@ only the first call will take effect.</p>
<h5><span class="tsd-kind-parameter">callstack</span>: <a href="_internal_.CachedCallStack.html" class="tsd-signature-type tsd-kind-class">CachedCallStack</a></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L98">runtime.ts:98</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L98">runtime.ts:98</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="sizeofPtr" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>sizeof<wbr/>Ptr</span><a href="#sizeofPtr" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -148,7 +148,7 @@ only the first call will take effect.</p>
<li class="tsd-description">
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L74">runtime.ts:74</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L74">runtime.ts:74</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 de3fb79514..9afab850d2 100644
--- a/docs/reference/api/typedoc/classes/_internal_.Memory.html
+++ b/docs/reference/api/typedoc/classes/_internal_.Memory.html
@@ -24,7 +24,7 @@
<ul class="tsd-hierarchy">
<li><span class="target">Memory</span></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/memory.ts#L31">memory.ts:31</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/memory.ts#L31">memory.ts:31</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
<section class="tsd-panel tsd-index-panel">
<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -70,19 +70,19 @@
<h5><span class="tsd-kind-parameter">memory</span>: <span class="tsd-signature-type ">Memory</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <a href="_internal_.Memory.html" class="tsd-signature-type tsd-kind-class">Memory</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/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/9fd3461c3/web/src/memory.ts#L42">memory.ts:42</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Properties</h2>
<section class="tsd-panel tsd-member"><a id="memory" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>memory</span><a href="#memory" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">memory</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type ">Memory</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/memory.ts#L32">memory.ts:32</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/memory.ts#L32">memory.ts:32</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="wasm32" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>wasm32</span><a href="#wasm32" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">wasm32</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">boolean</span><span class="tsd-signature-symbol"> = true</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/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/9fd3461c3/web/src/memory.ts#L33">memory.ts:33</a></li></ul></aside></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
<section class="tsd-panel tsd-member"><a id="loadCString" class="tsd-anchor"></a>
@@ -101,7 +101,7 @@
</div></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">string</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/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/9fd3461c3/web/src/memory.ts#L154">memory.ts:154</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="loadF32" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>load<wbr/>F32</span><a href="#loadF32" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -114,7 +114,7 @@
<h5><span class="tsd-kind-parameter">ptr</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/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/9fd3461c3/web/src/memory.ts#L90">memory.ts:90</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="loadF64" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>load<wbr/>F64</span><a href="#loadF64" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -127,7 +127,7 @@
<h5><span class="tsd-kind-parameter">ptr</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/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/9fd3461c3/web/src/memory.ts#L97">memory.ts:97</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="loadI32" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>load<wbr/>I32</span><a href="#loadI32" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -140,7 +140,7 @@
<h5><span class="tsd-kind-parameter">ptr</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/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/9fd3461c3/web/src/memory.ts#L74">memory.ts:74</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="loadI64" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>load<wbr/>I64</span><a href="#loadI64" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -153,7 +153,7 @@
<h5><span class="tsd-kind-parameter">ptr</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/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/9fd3461c3/web/src/memory.ts#L81">memory.ts:81</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="loadPointer" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>load<wbr/>Pointer</span><a href="#loadPointer" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -166,7 +166,7 @@
<h5><span class="tsd-kind-parameter">ptr</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/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/9fd3461c3/web/src/memory.ts#L104">memory.ts:104</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="loadRawBytes" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>load<wbr/>Raw<wbr/>Bytes</span><a href="#loadRawBytes" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -187,7 +187,7 @@
</div></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Uint8Array</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/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/9fd3461c3/web/src/memory.ts#L132">memory.ts:132</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="loadTVMBytes" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>loadTVMBytes</span><a href="#loadTVMBytes" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -204,7 +204,7 @@
</div></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Uint8Array</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/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/9fd3461c3/web/src/memory.ts#L145">memory.ts:145</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="loadU16" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>load<wbr/>U16</span><a href="#loadU16" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -217,7 +217,7 @@
<h5><span class="tsd-kind-parameter">ptr</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/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/9fd3461c3/web/src/memory.ts#L60">memory.ts:60</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="loadU32" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>load<wbr/>U32</span><a href="#loadU32" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -230,7 +230,7 @@
<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/ad3dfb4c1/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/9fd3461c3/web/src/memory.ts#L67">memory.ts:67</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="loadU8" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>load<wbr/>U8</span><a href="#loadU8" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -243,7 +243,7 @@
<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/ad3dfb4c1/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/9fd3461c3/web/src/memory.ts#L53">memory.ts:53</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="loadUSize" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>loadUSize</span><a href="#loadUSize" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -256,7 +256,7 @@
<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/ad3dfb4c1/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/9fd3461c3/web/src/memory.ts#L114">memory.ts:114</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="sizeofPtr" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>sizeof<wbr/>Ptr</span><a href="#sizeofPtr" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -264,7 +264,7 @@
<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/ad3dfb4c1/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/9fd3461c3/web/src/memory.ts#L124">memory.ts:124</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="storeRawBytes" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>store<wbr/>Raw<wbr/>Bytes</span><a href="#storeRawBytes" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -285,7 +285,7 @@
</div></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/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/9fd3461c3/web/src/memory.ts#L175">memory.ts:175</a></li></ul></aside></li></ul></section></section></div>
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<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/_internal_.PackedFuncCell.html b/docs/reference/api/typedoc/classes/_internal_.PackedFuncCell.html
index 70a0186647..711e83c470 100644
--- a/docs/reference/api/typedoc/classes/_internal_.PackedFuncCell.html
+++ b/docs/reference/api/typedoc/classes/_internal_.PackedFuncCell.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/ad3dfb4c1/web/src/runtime.ts#L295">runtime.ts:295</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L295">runtime.ts:295</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
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<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -59,7 +59,7 @@
<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/ad3dfb4c1/web/src/runtime.ts#L299">runtime.ts:299</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L299">runtime.ts:299</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
<section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
@@ -74,7 +74,7 @@ only the first call will take effect.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L304">runtime.ts:304</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L304">runtime.ts:304</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="getHandle" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get<wbr/>Handle</span><a href="#getHandle" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -87,7 +87,7 @@ 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/ad3dfb4c1/web/src/runtime.ts#L313">runtime.ts:313</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L313">runtime.ts:313</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 54264703a5..d89a531b29 100644
--- a/docs/reference/api/typedoc/classes/_internal_.RuntimeContext.html
+++ b/docs/reference/api/typedoc/classes/_internal_.RuntimeContext.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/ad3dfb4c1/web/src/runtime.ts#L144">runtime.ts:144</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L144">runtime.ts:144</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
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<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -94,104 +94,104 @@
<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/ad3dfb4c1/web/src/runtime.ts#L167">runtime.ts:167</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L167">runtime.ts:167</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Properties</h2>
<section class="tsd-panel tsd-member"><a id="applyPresenceAndFrequencyPenalty" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>apply<wbr/>Presence<wbr/>And<wbr/>Frequency<wbr/>Penalty</span><a href="#applyPresenceAndFrequencyPenalty" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">apply<wbr/>Presence<wbr/>And<wbr/>Frequency<wbr/>Penalty</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L162">runtime.ts:162</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L162">runtime.ts:162</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="applyRepetitionPenalty" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>apply<wbr/>Repetition<wbr/>Penalty</span><a href="#applyRepetitionPenalty" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">apply<wbr/>Repetition<wbr/>Penalty</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L161">runtime.ts:161</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L161">runtime.ts:161</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="applySoftmaxWithTemperature" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>apply<wbr/>Softmax<wbr/>With<wbr/>Temperature</span><a href="#applySoftmaxWithTemperature" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">apply<wbr/>Softmax<wbr/>With<wbr/>Temperature</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L163">runtime.ts:163</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L163">runtime.ts:163</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="arrayCacheClear" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>array<wbr/>Cache<wbr/>Clear</span><a href="#arrayCacheClear" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">array<wbr/>Cache<wbr/>Clear</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L154">runtime.ts:154</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L154">runtime.ts:154</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 class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">array<wbr/>Cache<wbr/>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/ad3dfb4c1/web/src/runtime.ts#L151">runtime.ts:151</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L151">runtime.ts:151</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="arrayCacheRemove" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>array<wbr/>Cache<wbr/>Remove</span><a href="#arrayCacheRemove" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">array<wbr/>Cache<wbr/>Remove</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L153">runtime.ts:153</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L153">runtime.ts:153</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="arrayCacheUpdate" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>array<wbr/>Cache<wbr/>Update</span><a href="#arrayCacheUpdate" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">array<wbr/>Cache<wbr/>Update</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L152">runtime.ts:152</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L152">runtime.ts:152</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="arrayDecodeStorage" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>array<wbr/>Decode<wbr/>Storage</span><a href="#arrayDecodeStorage" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">array<wbr/>Decode<wbr/>Storage</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L155">runtime.ts:155</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L155">runtime.ts:155</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="arrayGetItem" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>array<wbr/>Get<wbr/>Item</span><a href="#arrayGetItem" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">array<wbr/>Get<wbr/>Item</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L145">runtime.ts:145</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L145">runtime.ts:145</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="arrayGetSize" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>array<wbr/>Get<wbr/>Size</span><a href="#arrayGetSize" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">array<wbr/>Get<wbr/>Size</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L146">runtime.ts:146</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L146">runtime.ts:146</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="arrayMake" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>array<wbr/>Make</span><a href="#arrayMake" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">array<wbr/>Make</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L147">runtime.ts:147</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L147">runtime.ts:147</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="getFFIString" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>getFFIString</span><a href="#getFFIString" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">getFFIString</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L149">runtime.ts:149</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L149">runtime.ts:149</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="getSysLib" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get<wbr/>Sys<wbr/>Lib</span><a href="#getSysLib" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">get<wbr/>Sys<wbr/>Lib</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L150">runtime.ts:150</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L150">runtime.ts:150</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="makeShapeTuple" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>make<wbr/>Shape<wbr/>Tuple</span><a href="#makeShapeTuple" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">make<wbr/>Shape<wbr/>Tuple</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L158">runtime.ts:158</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L158">runtime.ts:158</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="ndarrayCreateView" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>ndarray<wbr/>Create<wbr/>View</span><a href="#ndarrayCreateView" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">ndarray<wbr/>Create<wbr/>View</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L159">runtime.ts:159</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L159">runtime.ts:159</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="paramModuleFromCache" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>param<wbr/>Module<wbr/>From<wbr/>Cache</span><a href="#paramModuleFromCache" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">param<wbr/>Module<wbr/>From<wbr/>Cache</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L156">runtime.ts:156</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L156">runtime.ts:156</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="paramModuleFromCacheByName" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>param<wbr/>Module<wbr/>From<wbr/>Cache<wbr/>By<wbr/>Name</span><a href="#paramModuleFromCacheByName" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">param<wbr/>Module<wbr/>From<wbr/>Cache<wbr/>By<wbr/>Name</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L157">runtime.ts:157</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L157">runtime.ts:157</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="sampleTopPFromLogits" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>sample<wbr/>TopPFrom<wbr/>Logits</span><a href="#sampleTopPFromLogits" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">sample<wbr/>TopPFrom<wbr/>Logits</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L160">runtime.ts:160</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L160">runtime.ts:160</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="stringMake" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>string<wbr/>Make</span><a href="#stringMake" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">string<wbr/>Make</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L148">runtime.ts:148</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L148">runtime.ts:148</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>
@@ -219,7 +219,7 @@
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type tsd-kind-type-parameter">T</span></h4><p>the same object.</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L238">runtime.ts:238</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L238">runtime.ts:238</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="beginScope" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>begin<wbr/>Scope</span><a href="#beginScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -227,7 +227,7 @@
<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/ad3dfb4c1/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/9fd3461c3/web/src/runtime.ts#L212">runtime.ts:212</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="detachFromCurrentScope" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>detach<wbr/>From<wbr/>Current<wbr/>Scope</span><a href="#detachFromCurrentScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -245,7 +245,7 @@
<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/ad3dfb4c1/web/src/runtime.ts#L257">runtime.ts:257</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L257">runtime.ts:257</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>dispose</span><a href="#dispose" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -258,7 +258,7 @@ only the first call will take effect.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L189">runtime.ts:189</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L189">runtime.ts:189</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="endScope" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>end<wbr/>Scope</span><a href="#endScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -266,7 +266,7 @@ only the first call will take effect.</p>
<li class="tsd-description">
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L216">runtime.ts:216</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L216">runtime.ts:216</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="moveToParentScope" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>move<wbr/>To<wbr/>Parent<wbr/>Scope</span><a href="#moveToParentScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -284,7 +284,7 @@ only the first call will take effect.</p>
<h5><span class="tsd-kind-parameter">obj</span>: <span class="tsd-signature-type tsd-kind-type-parameter">T</span></h5></li></ul></div>
<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/ad3dfb4c1/web/src/runtime.ts#L247">runtime.ts:247</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L247">runtime.ts:247</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 ea03b00e75..29dbfa39d2 100644
--- a/docs/reference/api/typedoc/classes/_internal_.TVMString.html
+++ b/docs/reference/api/typedoc/classes/_internal_.TVMString.html
@@ -26,7 +26,7 @@
<ul class="tsd-hierarchy">
<li><span class="target">TVMString</span></li></ul></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L890">runtime.ts:890</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L890">runtime.ts:890</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
<section class="tsd-panel tsd-index-panel">
<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -63,7 +63,7 @@
<h4 class="tsd-returns-title">Returns <a href="_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/ad3dfb4c1/web/src/runtime.ts#L891">runtime.ts:891</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L891">runtime.ts:891</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
<section class="tsd-panel tsd-member tsd-is-inherited"><a id="dispose" class="tsd-anchor"></a>
@@ -78,7 +78,7 @@ only the first call will take effect.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<p>Inherited from <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#dispose">dispose</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L795">runtime.ts:795</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L795">runtime.ts:795</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member tsd-is-inherited"><a id="getHandle" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get<wbr/>Handle</span><a href="#getHandle" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures tsd-is-inherited">
@@ -97,7 +97,7 @@ only the first call will take effect.</p>
<aside class="tsd-sources">
<p>Inherited from <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#getHandle">getHandle</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L810">runtime.ts:810</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L810">runtime.ts:810</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="toString" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>to<wbr/>String</span><a href="#toString" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -107,7 +107,7 @@ only the first call will take effect.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">string</span></h4><p>the size of the array.</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L902">runtime.ts:902</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L902">runtime.ts:902</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member tsd-is-inherited"><a id="typeIndex" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>type<wbr/>Index</span><a href="#typeIndex" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures tsd-is-inherited">
@@ -118,7 +118,7 @@ only the first call will take effect.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
<p>Inherited from <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#typeIndex">typeIndex</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L818">runtime.ts:818</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L818">runtime.ts:818</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member tsd-is-inherited"><a id="typeKey" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>type<wbr/>Key</span><a href="#typeKey" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures tsd-is-inherited">
@@ -129,7 +129,7 @@ only the first call will take effect.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">string</span></h4><aside class="tsd-sources">
<p>Inherited from <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#typeKey">typeKey</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L838">runtime.ts:838</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L838">runtime.ts:838</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 2c90b59f4a..a0ab26661d 100644
--- a/docs/reference/api/typedoc/classes/_internal_.WebGPUContext.html
+++ b/docs/reference/api/typedoc/classes/_internal_.WebGPUContext.html
@@ -25,7 +25,7 @@ Manages all the webgpu resources here.</p>
<ul class="tsd-hierarchy">
<li><span class="target">WebGPUContext</span></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/webgpu.ts#L345">webgpu.ts:345</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/webgpu.ts#L345">webgpu.ts:345</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
<section class="tsd-panel tsd-index-panel">
<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -69,19 +69,19 @@ Manages all the webgpu resources here.</p>
<h5><span class="tsd-kind-parameter">device</span>: <span class="tsd-signature-type ">GPUDevice</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <a href="_internal_.WebGPUContext.html" class="tsd-signature-type tsd-kind-class">WebGPUContext</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/webgpu.ts#L370">webgpu.ts:370</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/webgpu.ts#L370">webgpu.ts:370</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Properties</h2>
<section class="tsd-panel tsd-member"><a id="device" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>device</span><a href="#device" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">device</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type ">GPUDevice</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/webgpu.ts#L346">webgpu.ts:346</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/webgpu.ts#L346">webgpu.ts:346</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="memory" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>memory</span><a href="#memory" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">memory</span><span class="tsd-signature-symbol">:</span> <a href="_internal_.Memory.html" class="tsd-signature-type tsd-kind-class">Memory</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/webgpu.ts#L347">webgpu.ts:347</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/webgpu.ts#L347">webgpu.ts:347</a></li></ul></aside></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
<section class="tsd-panel tsd-member"><a id="bindCanvas" class="tsd-anchor"></a>
@@ -100,7 +100,7 @@ Manages all the webgpu resources here.</p>
</div></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/webgpu.ts#L454">webgpu.ts:454</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/webgpu.ts#L454">webgpu.ts:454</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="clearCanvas" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>clear<wbr/>Canvas</span><a href="#clearCanvas" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -110,7 +110,7 @@ Manages all the webgpu resources here.</p>
</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/ad3dfb4c1/web/src/webgpu.ts#L446">webgpu.ts:446</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/webgpu.ts#L446">webgpu.ts:446</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="copyRawBytesToBuffer" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>copy<wbr/>Raw<wbr/>Bytes<wbr/>To<wbr/>Buffer</span><a href="#copyRawBytesToBuffer" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -139,7 +139,7 @@ Manages all the webgpu resources here.</p>
</div></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/webgpu.ts#L428">webgpu.ts:428</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/webgpu.ts#L428">webgpu.ts:428</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="createShader" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>create<wbr/>Shader</span><a href="#createShader" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -160,7 +160,7 @@ via createComputePipeline</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Function</span></h4><p>The shader</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/webgpu.ts#L466">webgpu.ts:466</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/webgpu.ts#L466">webgpu.ts:466</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="createShaderAsync" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>create<wbr/>Shader<wbr/>Async</span><a href="#createShaderAsync" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -181,7 +181,7 @@ via createComputePipelineAsync</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol"><</span><span class="tsd-signature-type ">Function</span><span class="tsd-signature-symbol">></span></h4><p>The shader</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/webgpu.ts#L478">webgpu.ts:478</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/webgpu.ts#L478">webgpu.ts:478</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>dispose</span><a href="#dispose" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -191,7 +191,7 @@ via createComputePipelineAsync</p>
</div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/webgpu.ts#L378">webgpu.ts:378</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/webgpu.ts#L378">webgpu.ts:378</a></li></ul></aside></li></ul></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/webgpu.ts#L413">webgpu.ts:413</a></li></ul></aside></li></ul></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/webgpu.ts#L734">webgpu.ts:734</a></li></ul></aside></li></ul></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/webgpu.ts#L400">webgpu.ts:400</a></li></ul></aside></li></ul></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/webgpu.ts#L393">webgpu.ts:393</a></li></ul></aside></li></ul></section></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/rpc_server.ts#L27">rpc_server.ts:27</a></li></ul></aside>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/rpc_server.ts#L28">rpc_server.ts:28</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/rpc_server.ts#L29">rpc_server.ts:29</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/rpc_server.ts#L30">rpc_server.ts:30</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/rpc_server.ts#L33">rpc_server.ts:33</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/rpc_server.ts#L32">rpc_server.ts:32</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/rpc_server.ts#L31">rpc_server.ts:31</a></li></ul></aside></section></section></div>
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diff --git a/docs/reference/api/typedoc/functions/assert.html b/docs/reference/api/typedoc/functions/assert.html
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/support.ts#L52">support.ts:52</a></li></ul></aside></li></ul></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/compact.ts#L55">compact.ts:55</a></li></ul></aside></li></ul></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L2478">runtime.ts:2478</a></li></ul></aside></li></ul></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/webgpu.ts#L36">webgpu.ts:36</a></li></ul></aside></li></ul></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L2453">runtime.ts:2453</a></li></ul></aside></li></ul></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L2439">runtime.ts:2439</a></li></ul></aside></li></ul></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/support.ts#L62">support.ts:62</a></li></ul></aside></li></ul></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/types.ts#L46">types.ts:46</a></li></ul></aside>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/types.ts#L52">types.ts:52</a></li></ul></aside></section></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/webgpu.ts#L27">webgpu.ts:27</a></li></ul></aside>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/webgpu.ts#L28">webgpu.ts:28</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/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 class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">adapter<wbr/>Info</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type ">GPUAdapterInfo</span></div><aside class="tsd-sources">
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/webgpu.ts#L29">webgpu.ts:29</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/webgpu.ts#L29">webgpu.ts:29</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/webgpu.ts#L30">webgpu.ts:30</a></li></ul></aside></section></section></div>
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diff --git a/docs/reference/api/typedoc/interfaces/InitProgressReport.html b/docs/reference/api/typedoc/interfaces/InitProgressReport.html
index 3e3dbbbb51..48328696d2 100644
--- a/docs/reference/api/typedoc/interfaces/InitProgressReport.html
+++ b/docs/reference/api/typedoc/interfaces/InitProgressReport.html
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<ul class="tsd-hierarchy">
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<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/runtime.ts#L980">runtime.ts:980</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L980">runtime.ts:980</a></li></ul></aside>
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<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -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 class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><path stroke="none" d="M0 0h24v24H0z" fill="none" id="icon-anchor-a"></path><path d="M10 14a3.5 3.5 0 0 0 5 0l4 -4a3.5 3.5 0 0 0 -5 -5l-.5 .5" id="icon-anchor-b"></path><path d="M14 10a3.5 3.5 0 0 0 -5 0 [...]
<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/ad3dfb4c1/web/src/runtime.ts#L983">runtime.ts:983</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L983">runtime.ts:983</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 class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">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/ad3dfb4c1/web/src/runtime.ts#L981">runtime.ts:981</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L981">runtime.ts:981</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 class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">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/ad3dfb4c1/web/src/runtime.ts#L984">runtime.ts:984</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L984">runtime.ts:984</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 class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">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/ad3dfb4c1/web/src/runtime.ts#L982">runtime.ts:982</a></li></ul></aside></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L982">runtime.ts:982</a></li></ul></aside></section></section></div>
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diff --git a/docs/reference/api/typedoc/interfaces/LibraryProvider.html b/docs/reference/api/typedoc/interfaces/LibraryProvider.html
index 63b87c8a56..c7fd35f695 100644
--- a/docs/reference/api/typedoc/interfaces/LibraryProvider.html
+++ b/docs/reference/api/typedoc/interfaces/LibraryProvider.html
@@ -32,7 +32,7 @@ to allow the library provider to initialize related resources during startup tim
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<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/types.ts#L32">types.ts:32</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/types.ts#L32">types.ts:32</a></li></ul></aside>
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<section class="tsd-panel tsd-index-panel">
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@@ -51,7 +51,7 @@ to allow the library provider to initialize related resources during startup tim
<div class="tsd-comment tsd-typography"><p>The imports that can be passed to WebAssembly instance creation.</p>
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<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/types.ts#L34">types.ts:34</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/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 class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -73,7 +73,7 @@ to allow the library provider to initialize related resources during startup tim
</div></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/ad3dfb4c1/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/9fd3461c3/web/src/types.ts#L39">types.ts:39</a></li></ul></aside></section></section></div>
<div class="col-sidebar">
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<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/interfaces/_internal_.ArtifactCacheTemplate.html b/docs/reference/api/typedoc/interfaces/_internal_.ArtifactCacheTemplate.html
index e0049dae0d..3a42fbf1bc 100644
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<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/artifact_cache.ts#L4">artifact_cache.ts:4</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/artifact_cache.ts#L4">artifact_cache.ts:4</a></li></ul></aside>
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@@ -53,7 +53,7 @@
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<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">any</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/artifact_cache.ts#L18">artifact_cache.ts:18</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/artifact_cache.ts#L18">artifact_cache.ts:18</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="fetchWithCache" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>fetch<wbr/>With<wbr/>Cache</span><a href="#fetchWithCache" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">any</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/artifact_cache.ts#L8">artifact_cache.ts:8</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/artifact_cache.ts#L8">artifact_cache.ts:8</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="hasAllKeys" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>has<wbr/>All<wbr/>Keys</span><a href="#hasAllKeys" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/artifact_cache.ts#L13">artifact_cache.ts:13</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/artifact_cache.ts#L13">artifact_cache.ts:13</a></li></ul></aside></li></ul></section></section></div>
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<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/interfaces/_internal_.FunctionInfo.html b/docs/reference/api/typedoc/interfaces/_internal_.FunctionInfo.html
index 5a2539edbd..61937b2de9 100644
--- a/docs/reference/api/typedoc/interfaces/_internal_.FunctionInfo.html
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/webgpu.ts#L335">webgpu.ts:335</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/webgpu.ts#L335">webgpu.ts:335</a></li></ul></aside>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/webgpu.ts#L337">webgpu.ts:337</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/webgpu.ts#L337">webgpu.ts:337</a></li></ul></aside></section>
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<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/ad3dfb4c1/web/src/webgpu.ts#L338">webgpu.ts:338</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/webgpu.ts#L338">webgpu.ts:338</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="name" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>name</span><a href="#name" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/webgpu.ts#L336">webgpu.ts:336</a></li></ul></aside></section></section></div>
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<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 eb41a6dc41..9bb0702e1c 100644
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L964">runtime.ts:964</a></li></ul></aside>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L967">runtime.ts:967</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L965">runtime.ts:965</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L966">runtime.ts:966</a></li></ul></aside></section></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L974">runtime.ts:974</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L975">runtime.ts:975</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L977">runtime.ts:977</a></li></ul></aside></section></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L987">runtime.ts:987</a></li></ul></aside></div>
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index d5b8acb873..1a19341d4e 100644
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/runtime.ts#L37">runtime.ts:37</a></li></ul></aside></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/ctypes.ts#L194">ctypes.ts:194</a></li></ul></aside></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/ctypes.ts#L197">ctypes.ts:197</a></li></ul></aside></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/ctypes.ts#L206">ctypes.ts:206</a></li></ul></aside></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/9fd3461c3/web/src/ctypes.ts#L25">ctypes.ts:25</a></li></ul></aside></div>
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index 7739f009a1..491e718f62 100644
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diff --git a/docs/topic/vta/tutorials/frontend/deploy_detection.html b/docs/topic/vta/tutorials/frontend/deploy_detection.html
index 0ce657210e..3afbeb3593 100644
--- a/docs/topic/vta/tutorials/frontend/deploy_detection.html
+++ b/docs/topic/vta/tutorials/frontend/deploy_detection.html
@@ -619,7 +619,7 @@ and dense layer which will both be executed in fp32 on the CPU.</p></li>
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<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/workspace/python/tvm/relay/build_module.py:345: DeprecationWarning: Please use input parameter mod (tvm.IRModule) instead of deprecated parameter mod (tvm.relay.function.Function)
warnings.warn(
-yolov3-tiny inference graph built in 25.42s!
+yolov3-tiny inference graph built in 25.93s!
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index 787fe09357..c606f28269 100644
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+++ b/docs/topic/vta/tutorials/frontend/sg_execution_times.html
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-<p><strong>00:58.264</strong> total execution time for <strong>topic_vta_tutorials_frontend</strong> files:</p>
+<p><strong>00:59.432</strong> total execution time for <strong>topic_vta_tutorials_frontend</strong> files:</p>
<table class="docutils align-default">
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<col style="width: 83%" />
@@ -369,7 +369,7 @@
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<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>
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index a6d243fb64..e6867b34c7 100644
--- a/docs/topic/vta/tutorials/optimize/sg_execution_times.html
+++ b/docs/topic/vta/tutorials/optimize/sg_execution_times.html
@@ -360,7 +360,7 @@
<div class="section" id="computation-times">
<span id="sphx-glr-topic-vta-tutorials-optimize-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>00:03.192</strong> total execution time for <strong>topic_vta_tutorials_optimize</strong> files:</p>
+<p><strong>00:03.249</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>00:02.721</p></td>
+<td><p>00:02.759</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>00:00.472</p></td>
+<td><p>00:00.490</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 ebe0d381a3..eafb02a6a1 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>00:00.778</strong> total execution time for <strong>topic_vta_tutorials</strong> files:</p>
+<p><strong>00:00.810</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>00:00.402</p></td>
+<td><p>00:00.420</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>00:00.376</p></td>
+<td><p>00:00.391</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 aa62423a66..0b4dfa20cd 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: 91.665 ms
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Execution time of this operator: 92.537 ms
</pre></div>
</div>
</div>
@@ -661,7 +661,7 @@ automatically optimize a matrix multiplication, without the need to specify a
search template. It ends a series of examples that starts from the Tensor
Expression (TE) language that demonstrates how TVM can optimize computational
operations.</p>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 21.145 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 25.299 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 3f99d556c3..5bfa717c53 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: 14.32/14.32 result: MeasureResult(costs=(0.018740483199999998,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6120686531066895, timestamp=1708597752.7817757) [('tile_y', [-1, 128]), ('tile_x', [-1, 64])],None,67
-No: 2 GFLOPS: 9.27/14.32 result: MeasureResult(costs=(0.0289431132,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7348239421844482, timestamp=1708597753.500521) [('tile_y', [-1, 256]), ('tile_x', [-1, 16])],None,48
-No: 3 GFLOPS: 12.08/14.32 result: MeasureResult(costs=(0.022224566600000002,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6474599838256836, timestamp=1708597754.1131027) [('tile_y', [-1, 4]), ('tile_x', [-1, 128])],None,72
-No: 4 GFLOPS: 9.13/14.32 result: MeasureResult(costs=(0.029405623000000002,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.729149580001831, timestamp=1708597754.8457377) [('tile_y', [-1, 512]), ('tile_x', [-1, 256])],None,89
-No: 5 GFLOPS: 10.79/14.32 result: MeasureResult(costs=(0.0248730222,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6983418464660645, timestamp=1708597755.8783028) [('tile_y', [-1, 8]), ('tile_x', [-1, 64])],None,63
-No: 6 GFLOPS: 15.19/15.19 result: MeasureResult(costs=(0.0176763126,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.8060691356658936, timestamp=1708597756.418897) [('tile_y', [-1, 64]), ('tile_x', [-1, 64])],None,66
-No: 7 GFLOPS: 4.44/15.19 result: MeasureResult(costs=(0.060467903200000006,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.2252025604248047, timestamp=1708597757.6484241) [('tile_y', [-1, 4]), ('tile_x', [-1, 2])],None,12
-No: 8 GFLOPS: 7.66/15.19 result: MeasureResult(costs=(0.0350281262,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.8128862380981445, timestamp=1708597758.462843) [('tile_y', [-1, 2]), ('tile_x', [-1, 8])],None,31
-No: 9 GFLOPS: 9.42/15.19 result: MeasureResult(costs=(0.028484761600000002,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6829743385314941, timestamp=1708597759.2563026) [('tile_y', [-1, 8]), ('tile_x', [-1, 16])],None,43
-No: 10 GFLOPS: 13.19/15.19 result: MeasureResult(costs=(0.0203471258,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.554802656173706, timestamp=1708597759.8413284) [('tile_y', [-1, 8]), ('tile_x', [-1, 512])],None,93
+No: 1 GFLOPS: 10.57/10.57 result: MeasureResult(costs=(0.02539615,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.667186975479126, timestamp=1708609110.3079243) [('tile_y', [-1, 2]), ('tile_x', [-1, 64])],None,61
+No: 2 GFLOPS: 10.75/10.75 result: MeasureResult(costs=(0.02497338,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6974236965179443, timestamp=1708609110.969929) [('tile_y', [-1, 4]), ('tile_x', [-1, 128])],None,72
+No: 3 GFLOPS: 1.99/10.75 result: MeasureResult(costs=(0.13476942679999998,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.402428388595581, timestamp=1708609113.377519) [('tile_y', [-1, 8]), ('tile_x', [-1, 1])],None,3
+No: 4 GFLOPS: 13.79/13.79 result: MeasureResult(costs=(0.019469012,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.5758261680603027, timestamp=1708609113.9527538) [('tile_y', [-1, 16]), ('tile_x', [-1, 128])],None,74
+No: 5 GFLOPS: 2.11/13.79 result: MeasureResult(costs=(0.12711766279999998,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.2792561054229736, timestamp=1708609116.3984363) [('tile_y', [-1, 4]), ('tile_x', [-1, 1])],None,2
+No: 6 GFLOPS: 11.63/13.79 result: MeasureResult(costs=(0.0230785632,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6489784717559814, timestamp=1708609117.0205498) [('tile_y', [-1, 128]), ('tile_x', [-1, 32])],None,57
+No: 7 GFLOPS: 10.64/13.79 result: MeasureResult(costs=(0.025233364399999996,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6624755859375, timestamp=1708609117.6798966) [('tile_y', [-1, 4]), ('tile_x', [-1, 16])],None,42
+No: 8 GFLOPS: 14.10/14.10 result: MeasureResult(costs=(0.019031461,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6003634929656982, timestamp=1708609118.2385457) [('tile_y', [-1, 128]), ('tile_x', [-1, 64])],None,67
+No: 9 GFLOPS: 11.29/14.10 result: MeasureResult(costs=(0.0237671796,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6117208003997803, timestamp=1708609118.9605274) [('tile_y', [-1, 64]), ('tile_x', [-1, 256])],None,86
+No: 10 GFLOPS: 10.65/14.10 result: MeasureResult(costs=(0.025195181,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6273136138916016, timestamp=1708609119.6241844) [('tile_y', [-1, 2]), ('tile_x', [-1, 256])],None,81
</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 1c8381201c..683546fc9d 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': 464.4068318100108, 'median': 464.3366772500485, 'std': 0.2555413037996094}
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>{'mean': 490.0395544800176, 'median': 490.0826390500242, 'std': 3.0945754273839228}
</pre></div>
</div>
</div>
@@ -767,177 +767,179 @@ depending on the specifics of the model and the target platform.</p>
</pre></div>
</div>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>[Task 1/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 1/25] Current/Best: 11.88/ 14.36 GFLOPS | Progress: (4/20) | 8.62 s
-[Task 1/25] Current/Best: 20.24/ 20.24 GFLOPS | Progress: (8/20) | 11.12 s
-[Task 1/25] Current/Best: 17.16/ 20.24 GFLOPS | Progress: (12/20) | 14.07 s
-[Task 1/25] Current/Best: 5.90/ 20.24 GFLOPS | Progress: (16/20) | 17.81 s
-[Task 1/25] Current/Best: 7.42/ 20.24 GFLOPS | Progress: (20/20) | 20.74 s Done.
+[Task 1/25] Current/Best: 14.42/ 14.42 GFLOPS | Progress: (4/20) | 9.25 s
+[Task 1/25] Current/Best: 10.04/ 14.42 GFLOPS | Progress: (8/20) | 12.54 s
+[Task 1/25] Current/Best: 21.15/ 21.15 GFLOPS | Progress: (12/20) | 15.04 s
+[Task 1/25] Current/Best: 17.27/ 22.83 GFLOPS | Progress: (16/20) | 18.26 s
+[Task 1/25] Current/Best: 6.89/ 22.83 GFLOPS | Progress: (20/20) | 22.51 s Done.
[Task 2/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 2/25] Current/Best: 15.98/ 19.99 GFLOPS | Progress: (4/20) | 3.90 s
-[Task 2/25] Current/Best: 10.83/ 19.99 GFLOPS | Progress: (8/20) | 5.63 s
-[Task 2/25] Current/Best: 5.47/ 22.36 GFLOPS | Progress: (12/20) | 7.26 s
-[Task 2/25] Current/Best: 5.24/ 22.36 GFLOPS | Progress: (16/20) | 8.83 s
-[Task 2/25] Current/Best: 12.61/ 22.36 GFLOPS | Progress: (20/20) | 11.41 s Done.
+[Task 2/25] Current/Best: 17.57/ 17.57 GFLOPS | Progress: (4/20) | 3.96 s
+[Task 2/25] Current/Best: 18.95/ 19.44 GFLOPS | Progress: (8/20) | 5.76 s
+[Task 2/25] Current/Best: 7.37/ 19.44 GFLOPS | Progress: (12/20) | 7.37 s
+[Task 2/25] Current/Best: 17.48/ 19.44 GFLOPS | Progress: (16/20) | 9.71 s
+[Task 2/25] Current/Best: 11.86/ 19.44 GFLOPS | Progress: (20/20) | 11.29 s Done.
[Task 3/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 3/25] Current/Best: 8.07/ 12.76 GFLOPS | Progress: (4/20) | 4.85 s
-[Task 3/25] Current/Best: 20.79/ 20.79 GFLOPS | Progress: (8/20) | 6.94 s
-[Task 3/25] Current/Best: 20.88/ 20.88 GFLOPS | Progress: (12/20) | 9.28 s
-[Task 3/25] Current/Best: 7.15/ 24.68 GFLOPS | Progress: (16/20) | 11.96 s
-[Task 3/25] Current/Best: 12.91/ 24.68 GFLOPS | Progress: (20/20) | 14.15 s Done.
+[Task 3/25] Current/Best: 12.37/ 22.74 GFLOPS | Progress: (4/20) | 4.53 s
+[Task 3/25] Current/Best: 19.33/ 22.74 GFLOPS | Progress: (8/20) | 7.85 s
+[Task 3/25] Current/Best: 21.98/ 22.74 GFLOPS | Progress: (12/20) | 9.95 s
+[Task 3/25] Current/Best: 5.67/ 22.74 GFLOPS | Progress: (16/20) | 12.55 s
+[Task 3/25] Current/Best: 19.50/ 22.74 GFLOPS | Progress: (20/20) | 15.02 s Done.
[Task 4/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 4/25] Current/Best: 15.87/ 15.87 GFLOPS | Progress: (4/20) | 5.38 s
-[Task 4/25] Current/Best: 5.27/ 17.36 GFLOPS | Progress: (8/20) | 7.65 s
-[Task 4/25] Current/Best: 17.41/ 17.41 GFLOPS | Progress: (12/20) | 9.59 s
-[Task 4/25] Current/Best: 17.06/ 19.34 GFLOPS | Progress: (16/20) | 11.60 s
-[Task 4/25] Current/Best: 10.54/ 19.34 GFLOPS | Progress: (20/20) | 14.47 s Done.
+[Task 4/25] Current/Best: 5.53/ 11.30 GFLOPS | Progress: (4/20) | 5.01 s
+[Task 4/25] Current/Best: 14.38/ 19.72 GFLOPS | Progress: (8/20) | 7.03 s
+[Task 4/25] Current/Best: 16.13/ 19.72 GFLOPS | Progress: (12/20) | 11.53 s
+[Task 4/25] Current/Best: 12.97/ 19.72 GFLOPS | Progress: (16/20) | 13.57 s
+[Task 4/25] Current/Best: 22.94/ 22.94 GFLOPS | Progress: (20/20) | 15.22 s Done.
[Task 5/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 5/25] Current/Best: 19.39/ 19.39 GFLOPS | Progress: (4/20) | 4.42 s
-[Task 5/25] Current/Best: 19.13/ 19.39 GFLOPS | Progress: (8/20) | 6.37 s
-[Task 5/25] Current/Best: 16.16/ 19.39 GFLOPS | Progress: (12/20) | 8.33 s
-[Task 5/25] Current/Best: 5.35/ 19.39 GFLOPS | Progress: (16/20) | 10.28 s
-[Task 5/25] Current/Best: 10.88/ 19.39 GFLOPS | Progress: (20/20) | 12.25 s Done.
+[Task 5/25] Current/Best: 11.94/ 15.01 GFLOPS | Progress: (4/20) | 4.75 s
+[Task 5/25] Current/Best: 14.10/ 18.88 GFLOPS | Progress: (8/20) | 6.83 s
+[Task 5/25] Current/Best: 10.43/ 18.88 GFLOPS | Progress: (12/20) | 8.83 s
+[Task 5/25] Current/Best: 16.21/ 18.88 GFLOPS | Progress: (16/20) | 10.64 s
+[Task 5/25] Current/Best: 17.23/ 18.88 GFLOPS | Progress: (20/20) | 12.64 s Done.
[Task 6/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 6/25] Current/Best: 3.76/ 15.66 GFLOPS | Progress: (4/20) | 5.16 s
-[Task 6/25] Current/Best: 17.71/ 23.97 GFLOPS | Progress: (8/20) | 7.65 s
-[Task 6/25] Current/Best: 10.94/ 23.97 GFLOPS | Progress: (12/20) | 9.77 s
-[Task 6/25] Current/Best: 6.75/ 23.97 GFLOPS | Progress: (16/20) | 13.57 s
-[Task 6/25] Current/Best: 13.43/ 23.97 GFLOPS | Progress: (20/20) | 16.97 s Done.
+[Task 6/25] Current/Best: 5.23/ 13.13 GFLOPS | Progress: (4/20) | 6.85 s
+[Task 6/25] Current/Best: 12.86/ 17.46 GFLOPS | Progress: (8/20) | 9.33 s
+[Task 6/25] Current/Best: 8.64/ 17.46 GFLOPS | Progress: (12/20) | 11.93 s
+[Task 6/25] Current/Best: 9.27/ 17.46 GFLOPS | Progress: (16/20) | 15.02 s
+[Task 6/25] Current/Best: 9.99/ 17.46 GFLOPS | Progress: (20/20) | 18.68 s Done.
[Task 7/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 7/25] Current/Best: 21.31/ 21.66 GFLOPS | Progress: (4/20) | 4.75 s
-[Task 7/25] Current/Best: 3.24/ 21.66 GFLOPS | Progress: (8/20) | 8.21 s
-[Task 7/25] Current/Best: 17.91/ 21.66 GFLOPS | Progress: (12/20) | 10.52 s
-[Task 7/25] Current/Best: 9.25/ 22.68 GFLOPS | Progress: (16/20) | 14.67 s
-[Task 7/25] Current/Best: 10.93/ 22.68 GFLOPS | Progress: (20/20) | 16.82 s Done.
+[Task 7/25] Current/Best: 16.03/ 19.30 GFLOPS | Progress: (4/20) | 5.38 s
+[Task 7/25] Current/Best: 12.28/ 21.97 GFLOPS | Progress: (8/20) | 8.17 s
+[Task 7/25] Current/Best: 18.55/ 21.97 GFLOPS | Progress: (12/20) | 10.61 s
+[Task 7/25] Current/Best: 13.19/ 21.97 GFLOPS | Progress: (16/20) | 12.84 s
+[Task 7/25] Current/Best: 12.64/ 21.97 GFLOPS | Progress: (20/20) | 15.40 s Done.
[Task 8/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 8/25] Current/Best: 19.90/ 19.90 GFLOPS | Progress: (4/20) | 6.97 s
-[Task 8/25] Current/Best: 19.35/ 19.90 GFLOPS | Progress: (8/20) | 14.52 s
-[Task 8/25] Current/Best: 10.74/ 19.90 GFLOPS | Progress: (12/20) | 26.16 s
-[Task 8/25] Current/Best: 9.56/ 19.90 GFLOPS | Progress: (16/20) | 29.21 s
-[Task 8/25] Current/Best: 12.96/ 19.90 GFLOPS | Progress: (20/20) | 31.79 s Done.
-
+[Task 8/25] Current/Best: 14.67/ 14.67 GFLOPS | Progress: (4/20) | 6.08 s
+[Task 8/25] Current/Best: 12.17/ 20.63 GFLOPS | Progress: (8/20) | 8.36 s
+[Task 8/25] Current/Best: 14.60/ 20.63 GFLOPS | Progress: (12/20) | 20.45 s
+[Task 8/25] Current/Best: 13.75/ 20.63 GFLOPS | Progress: (16/20) | 24.89 s
+[Task 8/25] Current/Best: 3.69/ 22.63 GFLOPS | Progress: (20/20) | 28.00 s
[Task 9/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 9/25] Current/Best: 19.04/ 19.04 GFLOPS | Progress: (4/20) | 4.62 s
-[Task 9/25] Current/Best: 13.28/ 19.43 GFLOPS | Progress: (8/20) | 9.73 s
-[Task 9/25] Current/Best: 14.65/ 20.62 GFLOPS | Progress: (12/20) | 14.91 s
-[Task 9/25] Current/Best: 7.74/ 20.62 GFLOPS | Progress: (16/20) | 23.02 s
-[Task 9/25] Current/Best: 24.35/ 24.35 GFLOPS | Progress: (20/20) | 28.10 s Done.
-
+[Task 9/25] Current/Best: 12.43/ 23.45 GFLOPS | Progress: (4/20) | 4.22 s
+[Task 9/25] Current/Best: 6.93/ 23.45 GFLOPS | Progress: (8/20) | 12.19 s
+[Task 9/25] Current/Best: 9.97/ 23.45 GFLOPS | Progress: (12/20) | 17.83 s
+[Task 9/25] Current/Best: 10.43/ 23.45 GFLOPS | Progress: (16/20) | 22.94 s
+[Task 9/25] Current/Best: 8.77/ 23.45 GFLOPS | Progress: (20/20) | 34.09 s
[Task 10/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 10/25] Current/Best: 15.84/ 15.93 GFLOPS | Progress: (4/20) | 4.35 s
-[Task 10/25] Current/Best: 16.42/ 16.42 GFLOPS | Progress: (8/20) | 6.41 s
-[Task 10/25] Current/Best: 16.97/ 16.97 GFLOPS | Progress: (12/20) | 8.33 s
-[Task 10/25] Current/Best: 12.54/ 17.25 GFLOPS | Progress: (16/20) | 10.65 s
-[Task 10/25] Current/Best: 7.71/ 17.25 GFLOPS | Progress: (20/20) | 12.44 s Done.
+[Task 10/25] Current/Best: 12.27/ 16.06 GFLOPS | Progress: (4/20) | 5.35 s
+[Task 10/25] Current/Best: 13.17/ 16.06 GFLOPS | Progress: (8/20) | 8.09 s
+[Task 10/25] Current/Best: 14.11/ 18.44 GFLOPS | Progress: (12/20) | 10.17 s
+[Task 10/25] Current/Best: 9.45/ 20.51 GFLOPS | Progress: (16/20) | 12.79 s
+[Task 10/25] Current/Best: 3.02/ 20.51 GFLOPS | Progress: (20/20) | 14.88 s Done.
[Task 11/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 11/25] Current/Best: 12.79/ 20.63 GFLOPS | Progress: (4/20) | 4.44 s
-[Task 11/25] Current/Best: 16.64/ 24.91 GFLOPS | Progress: (8/20) | 6.28 s
-[Task 11/25] Current/Best: 7.25/ 24.91 GFLOPS | Progress: (12/20) | 8.60 s
-[Task 11/25] Current/Best: 20.27/ 24.91 GFLOPS | Progress: (16/20) | 10.68 s
-[Task 11/25] Current/Best: 20.06/ 24.91 GFLOPS | Progress: (20/20) | 12.99 s Done.
+[Task 11/25] Current/Best: 12.51/ 12.51 GFLOPS | Progress: (4/20) | 5.28 s
+[Task 11/25] Current/Best: 12.87/ 22.82 GFLOPS | Progress: (8/20) | 7.40 s
+[Task 11/25] Current/Best: 23.67/ 23.67 GFLOPS | Progress: (12/20) | 9.55 s
+[Task 11/25] Current/Best: 8.86/ 23.67 GFLOPS | Progress: (16/20) | 12.15 s
+[Task 11/25] Current/Best: 6.27/ 23.67 GFLOPS | Progress: (20/20) | 15.05 s Done.
[Task 12/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 12/25] Current/Best: 18.61/ 18.61 GFLOPS | Progress: (4/20) | 4.84 s
-[Task 12/25] Current/Best: 1.67/ 18.61 GFLOPS | Progress: (8/20) | 9.09 s
-[Task 12/25] Current/Best: 9.24/ 18.61 GFLOPS | Progress: (12/20) | 12.08 s
-[Task 12/25] Current/Best: 13.17/ 23.59 GFLOPS | Progress: (16/20) | 14.13 s
-[Task 12/25] Current/Best: 14.73/ 23.59 GFLOPS | Progress: (20/20) | 16.49 s Done.
+[Task 12/25] Current/Best: 9.13/ 16.85 GFLOPS | Progress: (4/20) | 5.81 s
+[Task 12/25] Current/Best: 14.29/ 16.91 GFLOPS | Progress: (8/20) | 8.87 s
+[Task 12/25] Current/Best: 12.06/ 16.91 GFLOPS | Progress: (12/20) | 11.79 s
+[Task 12/25] Current/Best: 14.85/ 16.91 GFLOPS | Progress: (16/20) | 14.85 s
+[Task 12/25] Current/Best: 14.00/ 16.91 GFLOPS | Progress: (20/20) | 17.11 s Done.
[Task 13/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 13/25] Current/Best: 17.68/ 17.68 GFLOPS | Progress: (4/20) | 4.79 s
-[Task 13/25] Current/Best: 12.59/ 17.68 GFLOPS | Progress: (8/20) | 7.60 s
-[Task 13/25] Current/Best: 11.84/ 17.68 GFLOPS | Progress: (12/20) | 10.49 s
-[Task 13/25] Current/Best: 18.56/ 21.16 GFLOPS | Progress: (16/20) | 12.54 s
-[Task 13/25] Current/Best: 13.14/ 22.98 GFLOPS | Progress: (20/20) | 14.91 s Done.
+[Task 13/25] Current/Best: 9.63/ 22.25 GFLOPS | Progress: (4/20) | 5.39 s
+[Task 13/25] Current/Best: 8.51/ 22.25 GFLOPS | Progress: (8/20) | 7.79 s
+[Task 13/25] Current/Best: 20.62/ 22.25 GFLOPS | Progress: (12/20) | 10.77 s
+[Task 13/25] Current/Best: 21.51/ 22.25 GFLOPS | Progress: (16/20) | 13.30 s
+[Task 13/25] Current/Best: 18.39/ 22.25 GFLOPS | Progress: (20/20) | 15.54 s Done.
[Task 14/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 14/25] Current/Best: 11.54/ 11.54 GFLOPS | Progress: (4/20) | 7.59 s
-[Task 14/25] Current/Best: 12.62/ 15.31 GFLOPS | Progress: (8/20) | 10.34 s
-[Task 14/25] Current/Best: 21.36/ 21.36 GFLOPS | Progress: (12/20) | 13.66 s
-[Task 14/25] Current/Best: 6.46/ 21.36 GFLOPS | Progress: (16/20) | 16.25 s
-[Task 14/25] Current/Best: 14.29/ 21.36 GFLOPS | Progress: (20/20) | 27.93 s
+[Task 14/25] Current/Best: 13.50/ 14.30 GFLOPS | Progress: (4/20) | 10.84 s
+[Task 14/25] Current/Best: 14.59/ 14.59 GFLOPS | Progress: (8/20) | 13.48 s
+[Task 14/25] Current/Best: 16.06/ 20.75 GFLOPS | Progress: (12/20) | 20.84 s
+[Task 14/25] Current/Best: 9.48/ 20.75 GFLOPS | Progress: (16/20) | 28.24 s
+[Task 14/25] Current/Best: 14.05/ 20.75 GFLOPS | Progress: (20/20) | 34.90 s Done.
+
[Task 15/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 15/25] Current/Best: 16.80/ 16.80 GFLOPS | Progress: (4/20) | 6.20 s
-[Task 15/25] Current/Best: 18.96/ 18.96 GFLOPS | Progress: (8/20) | 8.64 s
-[Task 15/25] Current/Best: 6.87/ 18.96 GFLOPS | Progress: (12/20) | 12.33 s
-[Task 15/25] Current/Best: 6.94/ 18.96 GFLOPS | Progress: (16/20) | 14.09 s
-[Task 15/25] Current/Best: 12.89/ 18.96 GFLOPS | Progress: (20/20) | 19.05 s Done.
+[Task 15/25] Current/Best: 20.26/ 20.26 GFLOPS | Progress: (4/20) | 4.15 s
+[Task 15/25] Current/Best: 8.65/ 20.26 GFLOPS | Progress: (8/20) | 10.78 s
+[Task 15/25] Current/Best: 12.48/ 20.26 GFLOPS | Progress: (12/20) | 14.14 s
+[Task 15/25] Current/Best: 5.63/ 20.38 GFLOPS | Progress: (16/20) | 16.57 s
+[Task 15/25] Current/Best: 16.49/ 21.21 GFLOPS | Progress: (20/20) | 24.23 s Done.
[Task 16/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 16/25] Current/Best: 15.22/ 22.43 GFLOPS | Progress: (4/20) | 4.55 s
-[Task 16/25] Current/Best: 11.36/ 22.43 GFLOPS | Progress: (8/20) | 6.87 s
-[Task 16/25] Current/Best: 20.61/ 22.43 GFLOPS | Progress: (12/20) | 9.31 s
-[Task 16/25] Current/Best: 5.11/ 22.43 GFLOPS | Progress: (16/20) | 11.31 s
-[Task 16/25] Current/Best: 12.69/ 22.43 GFLOPS | Progress: (20/20) | 12.99 s Done.
+[Task 16/25] Current/Best: 10.83/ 15.78 GFLOPS | Progress: (4/20) | 4.54 s
+[Task 16/25] Current/Best: 18.46/ 18.80 GFLOPS | Progress: (8/20) | 6.13 s
+[Task 16/25] Current/Best: 11.22/ 18.80 GFLOPS | Progress: (12/20) | 8.36 s
+[Task 16/25] Current/Best: 11.33/ 18.80 GFLOPS | Progress: (16/20) | 11.36 s
+[Task 16/25] Current/Best: 13.12/ 18.80 GFLOPS | Progress: (20/20) | 13.15 s Done.
[Task 17/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 17/25] Current/Best: 10.74/ 20.76 GFLOPS | Progress: (4/20) | 5.07 s
-[Task 17/25] Current/Best: 19.69/ 23.95 GFLOPS | Progress: (8/20) | 7.40 s
-[Task 17/25] Current/Best: 12.96/ 23.95 GFLOPS | Progress: (12/20) | 10.50 s
-[Task 17/25] Current/Best: 23.69/ 23.95 GFLOPS | Progress: (16/20) | 13.50 s
-[Task 17/25] Current/Best: 21.28/ 23.95 GFLOPS | Progress: (20/20) | 17.33 s Done.
+[Task 17/25] Current/Best: 19.99/ 20.31 GFLOPS | Progress: (4/20) | 4.84 s
+[Task 17/25] Current/Best: 9.65/ 20.31 GFLOPS | Progress: (8/20) | 7.74 s
+[Task 17/25] Current/Best: 20.40/ 22.93 GFLOPS | Progress: (12/20) | 11.06 s
+[Task 17/25] Current/Best: 16.07/ 22.93 GFLOPS | Progress: (16/20) | 13.45 s
+[Task 17/25] Current/Best: 17.95/ 23.09 GFLOPS | Progress: (20/20) | 16.01 s Done.
[Task 18/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 18/25] Current/Best: 12.55/ 17.86 GFLOPS | Progress: (4/20) | 5.31 s
-[Task 18/25] Current/Best: 22.44/ 22.44 GFLOPS | Progress: (8/20) | 8.16 s
-[Task 18/25] Current/Best: 14.35/ 22.44 GFLOPS | Progress: (12/20) | 10.42 s
-[Task 18/25] Current/Best: 17.55/ 22.44 GFLOPS | Progress: (16/20) | 14.72 s
-[Task 18/25] Current/Best: 16.96/ 22.44 GFLOPS | Progress: (20/20) | 17.11 s Done.
+[Task 18/25] Current/Best: 6.53/ 11.20 GFLOPS | Progress: (4/20) | 6.11 s
+[Task 18/25] Current/Best: 6.95/ 11.20 GFLOPS | Progress: (8/20) | 9.91 s
+[Task 18/25] Current/Best: 10.84/ 11.20 GFLOPS | Progress: (12/20) | 14.13 s
+[Task 18/25] Current/Best: 11.67/ 19.07 GFLOPS | Progress: (16/20) | 16.63 s
+[Task 18/25] Current/Best: 8.01/ 19.07 GFLOPS | Progress: (20/20) | 20.36 s Done.
[Task 19/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 19/25] Current/Best: 8.64/ 21.12 GFLOPS | Progress: (4/20) | 5.48 s
-[Task 19/25] Current/Best: 21.10/ 21.12 GFLOPS | Progress: (8/20) | 8.14 s
-[Task 19/25] Current/Best: 18.90/ 21.12 GFLOPS | Progress: (12/20) | 10.97 s
-[Task 19/25] Current/Best: 6.83/ 21.12 GFLOPS | Progress: (16/20) | 13.95 s
-[Task 19/25] Current/Best: 12.50/ 21.12 GFLOPS | Progress: (20/20) | 19.94 s Done.
-
-[Task 20/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 20/25] Current/Best: 21.54/ 21.54 GFLOPS | Progress: (4/20) | 5.20 s
-[Task 20/25] Current/Best: 10.93/ 21.54 GFLOPS | Progress: (8/20) | 7.57 s
-[Task 20/25] Current/Best: 22.53/ 22.53 GFLOPS | Progress: (12/20) | 18.39 s
-[Task 20/25] Current/Best: 18.75/ 22.53 GFLOPS | Progress: (16/20) | 29.84 s
-[Task 20/25] Current/Best: 22.18/ 22.56 GFLOPS | Progress: (20/20) | 42.33 s
-[Task 21/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s Done.
+[Task 19/25] Current/Best: 4.18/ 19.85 GFLOPS | Progress: (4/20) | 5.34 s
+[Task 19/25] Current/Best: 6.26/ 19.85 GFLOPS | Progress: (8/20) | 8.24 s Done.
Done.
-[Task 21/25] Current/Best: 18.33/ 18.33 GFLOPS | Progress: (4/20) | 5.25 s
-[Task 21/25] Current/Best: 5.08/ 18.33 GFLOPS | Progress: (8/20) | 9.21 s
-[Task 21/25] Current/Best: 12.84/ 18.33 GFLOPS | Progress: (12/20) | 11.29 s
-[Task 21/25] Current/Best: 5.64/ 18.33 GFLOPS | Progress: (16/20) | 22.49 s
-[Task 21/25] Current/Best: 4.82/ 18.58 GFLOPS | Progress: (20/20) | 34.65 s
+[Task 19/25] Current/Best: 8.16/ 20.69 GFLOPS | Progress: (12/20) | 12.24 s
+[Task 19/25] Current/Best: 7.58/ 20.69 GFLOPS | Progress: (16/20) | 18.41 s
+[Task 19/25] Current/Best: 9.37/ 20.69 GFLOPS | Progress: (20/20) | 29.91 s
+[Task 20/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
+[Task 20/25] Current/Best: 19.84/ 19.84 GFLOPS | Progress: (4/20) | 9.41 s
+[Task 20/25] Current/Best: 12.65/ 19.84 GFLOPS | Progress: (8/20) | 13.24 s
+[Task 20/25] Current/Best: 7.98/ 19.84 GFLOPS | Progress: (12/20) | 18.37 s
+[Task 20/25] Current/Best: 6.54/ 19.84 GFLOPS | Progress: (16/20) | 24.88 s
+[Task 20/25] Current/Best: 15.84/ 19.84 GFLOPS | Progress: (20/20) | 36.35 s
+[Task 21/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
+[Task 21/25] Current/Best: 10.13/ 14.93 GFLOPS | Progress: (4/20) | 7.14 s
+[Task 21/25] Current/Best: 13.06/ 18.73 GFLOPS | Progress: (8/20) | 10.34 s
+[Task 21/25] Current/Best: 15.16/ 19.45 GFLOPS | Progress: (12/20) | 12.14 s
+[Task 21/25] Current/Best: 14.35/ 20.82 GFLOPS | Progress: (16/20) | 14.05 s
+[Task 21/25] Current/Best: 19.39/ 20.82 GFLOPS | Progress: (20/20) | 25.12 s
[Task 22/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 22/25] Current/Best: 19.23/ 19.23 GFLOPS | Progress: (4/20) | 4.43 s
-[Task 22/25] Current/Best: 20.29/ 20.29 GFLOPS | Progress: (8/20) | 6.10 s
-[Task 22/25] Current/Best: 9.24/ 20.29 GFLOPS | Progress: (12/20) | 8.41 s
-[Task 22/25] Current/Best: 21.30/ 21.30 GFLOPS | Progress: (16/20) | 10.12 s
-[Task 22/25] Current/Best: 5.10/ 21.30 GFLOPS | Progress: (20/20) | 12.94 s Done.
+[Task 22/25] Current/Best: 18.70/ 18.70 GFLOPS | Progress: (4/20) | 5.37 s
+[Task 22/25] Current/Best: 8.79/ 19.52 GFLOPS | Progress: (8/20) | 7.60 s
+[Task 22/25] Current/Best: 7.07/ 19.52 GFLOPS | Progress: (12/20) | 10.50 s
+[Task 22/25] Current/Best: 9.01/ 19.52 GFLOPS | Progress: (16/20) | 17.84 s
+[Task 22/25] Current/Best: 20.55/ 20.63 GFLOPS | Progress: (20/20) | 19.69 s Done.
[Task 23/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 23/25] Current/Best: 9.30/ 20.95 GFLOPS | Progress: (4/20) | 5.76 s
-[Task 23/25] Current/Best: 23.46/ 23.46 GFLOPS | Progress: (8/20) | 9.47 s
-[Task 23/25] Current/Best: 21.38/ 23.46 GFLOPS | Progress: (12/20) | 12.67 s
-[Task 23/25] Current/Best: 10.70/ 23.46 GFLOPS | Progress: (16/20) | 16.04 s
-[Task 23/25] Current/Best: 18.62/ 23.46 GFLOPS | Progress: (20/20) | 20.28 s Done.
+[Task 23/25] Current/Best: 5.13/ 23.62 GFLOPS | Progress: (4/20) | 5.44 s
+[Task 23/25] Current/Best: 6.72/ 23.62 GFLOPS | Progress: (8/20) | 8.90 s
+[Task 23/25] Current/Best: 20.08/ 23.62 GFLOPS | Progress: (12/20) | 12.94 s
+[Task 23/25] Current/Best: 3.12/ 23.62 GFLOPS | Progress: (16/20) | 16.90 s
+[Task 23/25] Current/Best: 22.08/ 23.62 GFLOPS | Progress: (20/20) | 19.19 s Done.
[Task 24/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 24/25] Current/Best: 7.66/ 7.66 GFLOPS | Progress: (4/20) | 4.98 s
-[Task 24/25] Current/Best: 2.15/ 10.24 GFLOPS | Progress: (8/20) | 9.86 s
-[Task 24/25] Current/Best: 7.63/ 10.24 GFLOPS | Progress: (12/20) | 11.77 s
-[Task 24/25] Current/Best: 5.22/ 10.24 GFLOPS | Progress: (16/20) | 22.77 s
-[Task 24/25] Current/Best: 4.30/ 10.24 GFLOPS | Progress: (20/20) | 25.66 s
-[Task 25/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 25/25] Current/Best: 3.12/ 10.13 GFLOPS | Progress: (4/20) | 8.93 s
-[Task 25/25] Current/Best: 7.44/ 10.13 GFLOPS | Progress: (8/20) | 19.92 s
-[Task 25/25] Current/Best: 8.17/ 10.13 GFLOPS | Progress: (12/20) | 30.92 s
-[Task 25/25] Current/Best: 9.74/ 10.13 GFLOPS | Progress: (16/20) | 36.89 s
-[Task 25/25] Current/Best: 1.59/ 10.13 GFLOPS | Progress: (20/20) | 47.87 s
+[Task 24/25] Current/Best: 3.62/ 5.43 GFLOPS | Progress: (4/20) | 7.86 s
+[Task 24/25] Current/Best: 4.14/ 5.43 GFLOPS | Progress: (8/20) | 9.67 s
+[Task 24/25] Current/Best: 5.96/ 5.96 GFLOPS | Progress: (12/20) | 20.64 s
+[Task 24/25] Current/Best: 2.98/ 9.73 GFLOPS | Progress: (16/20) | 25.76 s
+[Task 24/25] Current/Best: 3.98/ 9.73 GFLOPS | Progress: (20/20) | 36.46 s
+[Task 25/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s Done.
+ Done.
+ Done.
+ Done.
+
+[Task 25/25] Current/Best: 1.57/ 9.16 GFLOPS | Progress: (4/20) | 9.23 s
+[Task 25/25] Current/Best: 3.06/ 9.16 GFLOPS | Progress: (8/20) | 12.47 s
+[Task 25/25] Current/Best: 8.01/ 9.16 GFLOPS | Progress: (12/20) | 23.45 s
+[Task 25/25] Current/Best: 3.72/ 9.90 GFLOPS | Progress: (16/20) | 26.66 s
+[Task 25/25] Current/Best: 7.84/ 9.90 GFLOPS | Progress: (20/20) | 30.02 s
</pre></div>
</div>
<p>The output from this tuning process will look something like this:</p>
@@ -985,8 +987,6 @@ model using optimized operators to speed up our computations.</p>
</pre></div>
</div>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Done.
-Done.
-Done.
</pre></div>
</div>
<p>Verify that the optimized model runs and produces the same results:</p>
@@ -1003,8 +1003,8 @@ Done.
<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=0.621104
-class='n02123159 tiger cat' with probability=0.356378
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>class='n02123045 tabby, tabby cat' with probability=0.621103
+class='n02123159 tiger cat' with probability=0.356379
class='n02124075 Egyptian cat' with probability=0.019712
class='n02129604 tiger, Panthera tigris' with probability=0.001215
class='n04040759 radiator' with probability=0.000262
@@ -1041,8 +1041,8 @@ improvement in comparing the optimized model to the unoptimized model.</p>
<span class="nb">print</span><span class="p">(</span><span class="s2">"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': 382.18969886000195, 'median': 381.91253009999855, 'std': 1.1128295883856005}
-unoptimized: {'mean': 464.4068318100108, 'median': 464.3366772500485, 'std': 0.2555413037996094}
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>optimized: {'mean': 425.3099469299923, 'median': 424.521806049961, 'std': 2.220070750264207}
+unoptimized: {'mean': 490.0395544800176, 'median': 490.0826390500242, 'std': 3.0945754273839228}
</pre></div>
</div>
</div>
@@ -1056,7 +1056,7 @@ models.</p>
<p>Here we presented a simple example using ResNet-50 v2 locally. However, TVM
supports many more features including cross-compilation, remote execution and
profiling/benchmarking.</p>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 12 minutes 40.892 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 13 minutes 11.392 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 3b857c2c75..509cd34097 100644
--- a/docs/tutorial/cross_compilation_and_rpc.html
+++ b/docs/tutorial/cross_compilation_and_rpc.html
@@ -558,7 +558,7 @@ device and returns the measured cost. Network overhead is excluded.</p>
<span class="nb">print</span><span class="p">(</span><span class="s2">"</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>1.31e-07 secs/op
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>1.239e-07 secs/op
</pre></div>
</div>
</div>
diff --git a/docs/tutorial/intro_topi.html b/docs/tutorial/intro_topi.html
index 21bd49d505..e093d02233 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, 0x14567a20)), stage(b, placeholder(b, 0x288a50d0)), 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, attr [...]
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>[stage(a, placeholder(a, 0x162ae250)), stage(b, placeholder(b, 0x16305f70)), 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, attr [...]
</pre></div>
</div>
<p>We can test the correctness by comparing with <code class="code docutils literal notranslate"><span class="pre">numpy</span></code> result as follows</p>
diff --git a/docs/tutorial/sg_execution_times.html b/docs/tutorial/sg_execution_times.html
index 7c8a9a8829..bbb4d01576 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>15:58.430</strong> total execution time for <strong>tutorial</strong> files:</p>
+<p><strong>16:35.699</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>12:40.892</p></td>
+<td><p>13:11.392</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="auto_scheduler_matmul_x86.html#sphx-glr-tutorial-auto-scheduler-matmul-x86-py"><span class="std std-ref">Optimizing Operators with Auto-scheduling</span></a> (<code class="docutils literal notranslate"><span class="pre">auto_scheduler_matmul_x86.py</span></code>)</p></td>
-<td><p>01:21.145</p></td>
+<td><p>01:25.299</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="tensor_expr_get_started.html#sphx-glr-tutorial-tensor-expr-get-started-py"><span class="std std-ref">Working with Operators Using Tensor Expression</span></a> (<code class="docutils literal notranslate"><span class="pre">tensor_expr_get_started.py</span></code>)</p></td>
-<td><p>00:58.720</p></td>
+<td><p>00:58.753</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="relay_quick_start.html#sphx-glr-tutorial-relay-quick-start-py"><span class="std std-ref">Quick Start Tutorial for Compiling Deep Learning Models</span></a> (<code class="docutils literal notranslate"><span class="pre">relay_quick_start.py</span></code>)</p></td>
-<td><p>00:42.030</p></td>
+<td><p>00:42.411</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>00:13.724</p></td>
+<td><p>00:15.871</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>00:00.876</p></td>
+<td><p>00:00.890</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>00:00.851</p></td>
+<td><p>00:00.871</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>00:00.191</p></td>
+<td><p>00:00.212</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 427f50f33c..27aff77ef0 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: 0.000005
-naive: 0.000006
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Numpy running time: 0.000008
+naive: 0.000010
</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: 0.000007
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>parallel: 0.000010
</pre></div>
</div>
</div>
@@ -701,10 +701,10 @@ class Module:
</pre></div>
</div>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Operator Timing Performance
- numpy 5.175559999770485e-06 1.0
- naive 5.655799999999999e-06 1.0927899590094232
-parallel 7.0547e-06 1.36307955087234
- vector 3.79186e-05 7.3264728844186005
+ numpy 7.914670004538493e-06 1.0
+ naive 9.8902e-06 1.249603583513739
+parallel 9.589399999999998e-06 1.2115982087062593
+ vector 3.79805e-05 4.798747133894517
</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: 0.014590
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Numpy running time: 0.017845
</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: 3.389258
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>none: 3.343162
</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: 0.289026
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>blocking: 0.285374
</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: 0.273931
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>vectorization: 0.263291
# 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: 0.110150
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>loop permutation: 0.112232
# 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: 0.102308
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>array packing: 0.105345
# 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: 0.094069
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>block caching: 0.109053
# 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: 0.112012
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>parallelization: 0.129850
# 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 3.389258367 1.0
- blocking 0.28902558629999997 0.08527694114858254
- vectorization 0.2739305346 0.08082314917834649
-loop permutation 0.1101500692 0.032499755779167486
- array packing 0.1023076292 0.030185845433364684
- block caching 0.0940690493 0.027755054089684275
- parallelization 0.11201228329999999 0.03304920167509908
+ none 3.3431623696000003 1.0
+ blocking 0.28537433339999996 0.08536059630096404
+ vectorization 0.2632913521 0.07875517937571845
+loop permutation 0.1122319869 0.03357060605866661
+ array packing 0.10534485850000001 0.03151054207175831
+ block caching 0.1090533122 0.03261980727937181
+ parallelization 0.12984986650000002 0.038840430749265756
</pre></div>
</div>
<p>Note that the outputs on the web page reflect the running times on a