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Posted to commits@tvm.apache.org by tq...@apache.org on 2024/01/24 20:15:06 UTC
(tvm-site) branch asf-site updated: deploying docs (apache/tvm@a86e41bcd27085514d911f1e03d8d8a1db1eef24)
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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 86316883c2 deploying docs (apache/tvm@a86e41bcd27085514d911f1e03d8d8a1db1eef24)
86316883c2 is described below
commit 86316883c22eed21103a0a49b178fccafa9b75ac
Author: tvm-bot <95...@users.noreply.github.com>
AuthorDate: Wed Jan 24 20:15:01 2024 +0000
deploying docs (apache/tvm@a86e41bcd27085514d911f1e03d8d8a1db1eef24)
---
.../how_to/compile_models/from_darknet.rst.txt | 2 +-
.../how_to/compile_models/from_mxnet.rst.txt | 2 +-
.../how_to/compile_models/from_oneflow.rst.txt | 2 +-
.../how_to/compile_models/from_paddle.rst.txt | 2 +-
.../how_to/compile_models/from_pytorch.rst.txt | 2 +-
.../how_to/compile_models/from_tensorflow.rst.txt | 2 +-
.../compile_models/sg_execution_times.rst.txt | 22 +-
.../deploy_models/deploy_model_on_adreno.rst.txt | 4 +-
.../deploy_model_on_adreno_tvmc.rst.txt | 2 +-
.../deploy_models/deploy_model_on_android.rst.txt | 2 +-
.../deploy_object_detection_pytorch.rst.txt | 4 +-
.../deploy_models/deploy_prequantized.rst.txt | 6 +-
.../deploy_prequantized_tflite.rst.txt | 2 +-
.../how_to/deploy_models/deploy_quantized.rst.txt | 2 +-
.../deploy_models/sg_execution_times.rst.txt | 20 +-
.../extend_tvm/bring_your_own_datatypes.rst.txt | 2 +-
.../how_to/extend_tvm/sg_execution_times.rst.txt | 10 +-
.../how_to/extend_tvm/use_pass_instrument.rst.txt | 16 +-
.../optimize_operators/opt_conv_cuda.rst.txt | 2 +-
.../optimize_operators/opt_conv_tensorcore.rst.txt | 2 +-
.../how_to/optimize_operators/opt_gemm.rst.txt | 16 +-
.../optimize_operators/sg_execution_times.rst.txt | 8 +-
.../sg_execution_times.rst.txt | 14 +-
.../tune_conv2d_layer_cuda.rst.txt | 2 +-
.../tune_network_cuda.rst.txt | 4 +-
.../tune_network_x86.rst.txt | 4 +-
.../tune_with_autotvm/sg_execution_times.rst.txt | 6 +-
.../tune_with_autotvm/tune_conv2d_cuda.rst.txt | 2 +-
.../work_with_microtvm/micro_autotune.rst.txt | 18 +-
.../work_with_microtvm/micro_pytorch.rst.txt | 4 +-
.../how_to/work_with_microtvm/micro_train.rst.txt | 16 +-
.../work_with_microtvm/sg_execution_times.rst.txt | 14 +-
.../work_with_relay/sg_execution_times.rst.txt | 8 +-
.../how_to/work_with_schedules/intrin_math.rst.txt | 2 +-
.../work_with_schedules/sg_execution_times.rst.txt | 16 +-
.../tutorials/autotvm/sg_execution_times.rst.txt | 6 +-
.../frontend/deploy_classification.rst.txt | 2 +-
.../tutorials/frontend/deploy_detection.rst.txt | 2 +-
.../tutorials/frontend/sg_execution_times.rst.txt | 6 +-
.../tutorials/optimize/sg_execution_times.rst.txt | 6 +-
.../topic/vta/tutorials/sg_execution_times.rst.txt | 6 +-
.../tutorial/auto_scheduler_matmul_x86.rst.txt | 4 +-
docs/_sources/tutorial/autotvm_matmul_x86.rst.txt | 20 +-
docs/_sources/tutorial/autotvm_relay_x86.rst.txt | 56 ++---
.../tutorial/cross_compilation_and_rpc.rst.txt | 2 +-
docs/_sources/tutorial/intro_topi.rst.txt | 2 +-
docs/_sources/tutorial/sg_execution_times.rst.txt | 18 +-
.../tutorial/tensor_expr_get_started.rst.txt | 46 ++--
docs/commit_hash | 2 +-
docs/how_to/compile_models/from_darknet.html | 2 +-
docs/how_to/compile_models/from_mxnet.html | 2 +-
docs/how_to/compile_models/from_oneflow.html | 14 +-
docs/how_to/compile_models/from_paddle.html | 2 +-
docs/how_to/compile_models/from_pytorch.html | 14 +-
docs/how_to/compile_models/from_tensorflow.html | 2 +-
docs/how_to/compile_models/sg_execution_times.html | 22 +-
.../deploy_models/deploy_model_on_adreno.html | 4 +-
.../deploy_models/deploy_model_on_adreno_tvmc.html | 24 +-
.../deploy_models/deploy_model_on_android.html | 2 +-
.../deploy_object_detection_pytorch.html | 59 ++---
docs/how_to/deploy_models/deploy_prequantized.html | 8 +-
.../deploy_models/deploy_prequantized_tflite.html | 2 +-
docs/how_to/deploy_models/deploy_quantized.html | 2 +-
docs/how_to/deploy_models/sg_execution_times.html | 24 +-
.../extend_tvm/bring_your_own_datatypes.html | 2 +-
docs/how_to/extend_tvm/sg_execution_times.html | 10 +-
docs/how_to/extend_tvm/use_pass_instrument.html | 16 +-
docs/how_to/optimize_operators/opt_conv_cuda.html | 2 +-
.../optimize_operators/opt_conv_tensorcore.html | 2 +-
docs/how_to/optimize_operators/opt_gemm.html | 16 +-
.../optimize_operators/sg_execution_times.html | 8 +-
.../sg_execution_times.html | 14 +-
.../tune_conv2d_layer_cuda.html | 2 +-
.../tune_with_autoscheduler/tune_network_cuda.html | 4 +-
.../tune_with_autoscheduler/tune_network_x86.html | 4 +-
.../tune_with_autotvm/sg_execution_times.html | 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 | 4 +-
docs/how_to/work_with_microtvm/micro_train.html | 16 +-
.../work_with_microtvm/sg_execution_times.html | 14 +-
.../how_to/work_with_relay/sg_execution_times.html | 8 +-
docs/how_to/work_with_schedules/intrin_math.html | 2 +-
.../work_with_schedules/sg_execution_times.html | 16 +-
docs/reference/api/python/auto_scheduler.html | 4 +-
.../api/typedoc/classes/ArtifactCache.html | 8 +-
docs/reference/api/typedoc/classes/DLDataType.html | 14 +-
docs/reference/api/typedoc/classes/DLDevice.html | 12 +-
docs/reference/api/typedoc/classes/Instance.html | 102 ++++----
docs/reference/api/typedoc/classes/Module.html | 12 +-
docs/reference/api/typedoc/classes/NDArray.html | 30 +--
docs/reference/api/typedoc/classes/RPCServer.html | 16 +-
docs/reference/api/typedoc/classes/Scalar.html | 8 +-
docs/reference/api/typedoc/classes/TVMArray.html | 16 +-
docs/reference/api/typedoc/classes/TVMObject.html | 12 +-
.../api/typedoc/classes/VirtualMachine.html | 10 +-
.../classes/_internal_.CachedCallStack.html | 36 +--
.../classes/_internal_.CanvasRenderManager.html | 10 +-
.../typedoc/classes/_internal_.Environment.html | 14 +-
.../api/typedoc/classes/_internal_.FFILibrary.html | 22 +-
.../api/typedoc/classes/_internal_.Memory.html | 36 +--
.../typedoc/classes/_internal_.PackedFuncCell.html | 8 +-
.../typedoc/classes/_internal_.RuntimeContext.html | 52 ++--
.../api/typedoc/classes/_internal_.TVMString.html | 14 +-
.../typedoc/classes/_internal_.WebGPUContext.html | 28 +--
.../typedoc/enums/_internal_.RPCServerState.html | 14 +-
docs/reference/api/typedoc/functions/assert.html | 2 +-
.../api/typedoc/functions/createPolyfillWASI.html | 2 +-
.../api/typedoc/functions/detectGPUDevice.html | 2 +-
.../api/typedoc/functions/hasNDArrayInCache.html | 2 +-
.../api/typedoc/functions/instantiate.html | 2 +-
docs/reference/api/typedoc/functions/wasmPath.html | 2 +-
.../api/typedoc/interfaces/Disposable.html | 4 +-
.../typedoc/interfaces/GPUDeviceDetectOutput.html | 8 +-
.../api/typedoc/interfaces/InitProgressReport.html | 10 +-
.../api/typedoc/interfaces/LibraryProvider.html | 6 +-
.../interfaces/_internal_.FunctionInfo.html | 8 +-
.../interfaces/_internal_.NDArrayCacheEntry.html | 14 +-
.../interfaces/_internal_.NDArrayShardEntry.html | 10 +-
.../api/typedoc/types/InitProgressCallback.html | 2 +-
docs/reference/api/typedoc/types/PackedFunc.html | 2 +-
.../types/_internal_.FObjectConstructor.html | 2 +-
.../types/_internal_.FTVMWasmAllocSpace.html | 2 +-
.../types/_internal_.FTVMWasmFreeSpace.html | 2 +-
.../types/_internal_.FTVMWasmPackedCFunc.html | 2 +-
.../api/typedoc/types/_internal_.Pointer.html | 2 +-
.../typedoc/types/_internal_.TVMObjectBase.html | 2 +-
docs/searchindex.js | 2 +-
.../vta/tutorials/autotvm/sg_execution_times.html | 6 +-
.../tutorials/frontend/deploy_classification.html | 2 +-
.../vta/tutorials/frontend/deploy_detection.html | 2 +-
.../vta/tutorials/frontend/sg_execution_times.html | 10 +-
.../vta/tutorials/optimize/sg_execution_times.html | 6 +-
docs/topic/vta/tutorials/sg_execution_times.html | 6 +-
docs/tutorial/auto_scheduler_matmul_x86.html | 4 +-
docs/tutorial/autotvm_matmul_x86.html | 20 +-
docs/tutorial/autotvm_relay_x86.html | 264 ++++++++++-----------
docs/tutorial/cross_compilation_and_rpc.html | 2 +-
docs/tutorial/intro_topi.html | 2 +-
docs/tutorial/sg_execution_times.html | 22 +-
docs/tutorial/tensor_expr_get_started.html | 46 ++--
141 files changed, 867 insertions(+), 862 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 dd876a48b8..ffdf665847 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 36.154 seconds)
+ **Total running time of the script:** ( 1 minutes 33.008 seconds)
.. _sphx_glr_download_how_to_compile_models_from_darknet.py:
diff --git a/docs/_sources/how_to/compile_models/from_mxnet.rst.txt b/docs/_sources/how_to/compile_models/from_mxnet.rst.txt
index 7c80e91a65..ac6abe2673 100644
--- a/docs/_sources/how_to/compile_models/from_mxnet.rst.txt
+++ b/docs/_sources/how_to/compile_models/from_mxnet.rst.txt
@@ -116,7 +116,7 @@ In this section, we download a pretrained imagenet model and classify an image.
.. code-block:: none
- Downloading /workspace/.mxnet/models/resnet18_v1-a0666292.zipa2a966e0-0f31-4481-8669-929012900653 from https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/models/resnet18_v1-a0666292.zip...
+ Downloading /workspace/.mxnet/models/resnet18_v1-a0666292.zip8437145b-5f33-415a-951f-893a6b4874ef from https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/models/resnet18_v1-a0666292.zip...
x (1, 3, 224, 224)
diff --git a/docs/_sources/how_to/compile_models/from_oneflow.rst.txt b/docs/_sources/how_to/compile_models/from_oneflow.rst.txt
index 9555d84bab..a4d0f69de7 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, 61.9MB/s]
29%|##9 | 12.2M/41.5M [00:00<00:00, 57.1MB/s]
43%|####2 | 17.7M/41.5M [00:00<00:00, 42.6MB/s]
58%|#####7 | 24.0M/41.5M [00:00<00:00, 33.1MB/s]
77%|#######7 | 32.0M/41.5M [00:00<00:00, 39.9MB/s]
92%|#########2| 38.3M/41.5M [00:00<00:00, 39.5MB/s]
100%|##########| 41.5M/41.5M [00:01<00:00, 40.9MB/s]
+
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19%|#9 | 7.99M/41.5M [00:00<00:00, 58.2MB/s]
35%|###4 | 14.3M/41.5M [00:00<00:00, 54.8MB/s]
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77%|#######7 | 32.0M/41.5M [00:00<00:00, 50.7MB/s]
93%|#########2| 38.4M/41.5M [00:00<00:00, 55.3MB/s]
100%|##########| 41.5M/41.5M [00:00<00:00, 50.9MB/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 fb07d34ae0..888a2c6330 100644
--- a/docs/_sources/how_to/compile_models/from_paddle.rst.txt
+++ b/docs/_sources/how_to/compile_models/from_paddle.rst.txt
@@ -209,7 +209,7 @@ Look up prediction top 1 index in 1000 class synset.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 3.243 seconds)
+ **Total running time of the script:** ( 1 minutes 2.751 seconds)
.. _sphx_glr_download_how_to_compile_models_from_paddle.py:
diff --git a/docs/_sources/how_to/compile_models/from_pytorch.rst.txt b/docs/_sources/how_to/compile_models/from_pytorch.rst.txt
index 1784290175..cfebef6f25 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
-
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18%|#7 | 7.99M/44.7M [00:00<00:00, 48.1MB/s]
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77%|#######6 | 34.2M/44.7M [00:00<00:00, 35.4MB/s]
86%|########5 | 38.3M/44.7M [00:01<00:00, 33.8MB/s]
93%|#########2| 41.5M/44.7M [00:01<00:00, 31.8MB/s]
100%|##########| 44.7M/44.7M [00:01<00:00, 39.5MB/s]
+
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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 f9e9ae4702..0c1a8e2603 100644
--- a/docs/_sources/how_to/compile_models/from_tensorflow.rst.txt
+++ b/docs/_sources/how_to/compile_models/from_tensorflow.rst.txt
@@ -430,7 +430,7 @@ Run the corresponding model on tensorflow
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 33.263 seconds)
+ **Total running time of the script:** ( 1 minutes 29.981 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 feb740a589..2f2987cf65 100644
--- a/docs/_sources/how_to/compile_models/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/compile_models/sg_execution_times.rst.txt
@@ -5,26 +5,26 @@
Computation times
=================
-**07:23.348** total execution time for **how_to_compile_models** files:
+**07:10.195** total execution time for **how_to_compile_models** files:
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_darknet.py` (``from_darknet.py``) | 01:36.154 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_darknet.py` (``from_darknet.py``) | 01:33.008 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_tensorflow.py` (``from_tensorflow.py``) | 01:33.263 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_tensorflow.py` (``from_tensorflow.py``) | 01:29.981 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_paddle.py` (``from_paddle.py``) | 01:03.243 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_paddle.py` (``from_paddle.py``) | 01:02.751 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_oneflow.py` (``from_oneflow.py``) | 00:44.596 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_oneflow.py` (``from_oneflow.py``) | 00:43.332 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_coreml.py` (``from_coreml.py``) | 00:39.001 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_coreml.py` (``from_coreml.py``) | 00:37.826 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_mxnet.py` (``from_mxnet.py``) | 00:34.915 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_mxnet.py` (``from_mxnet.py``) | 00:34.302 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_pytorch.py` (``from_pytorch.py``) | 00:30.765 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_pytorch.py` (``from_pytorch.py``) | 00:28.698 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_keras.py` (``from_keras.py``) | 00:26.612 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_keras.py` (``from_keras.py``) | 00:26.161 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_tflite.py` (``from_tflite.py``) | 00:11.832 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_tflite.py` (``from_tflite.py``) | 00:11.236 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_onnx.py` (``from_onnx.py``) | 00:02.967 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_onnx.py` (``from_onnx.py``) | 00:02.900 | 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 df5002d18d..9f4211c0e8 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)
- 4124.9812 4125.0363 4130.5484 4120.7268 2.4942
+ 4123.6688 4121.3606 4143.2259 4118.3797 6.9770
@@ -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 19.947 seconds)
+ **Total running time of the script:** ( 1 minutes 19.332 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 7b2795cec5..8e7379d70a 100644
--- a/docs/_sources/how_to/deploy_models/deploy_model_on_adreno_tvmc.rst.txt
+++ b/docs/_sources/how_to/deploy_models/deploy_model_on_adreno_tvmc.rst.txt
@@ -127,7 +127,7 @@ Make a Keras Resnet50 Model
.. code-block:: none
Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/resnet/resnet50_weights_tf_dim_ordering_tf_kernels.h5
-
8192/102967424 [..............................] - ETA: 0s
8380416/102967424 [=>............................] - ETA: 0s
10575872/102967424 [==>...........................] - ETA: 1s
13828096/102967424 [===>..........................] - ETA: 1s
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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 33ee11c2a9..8eb50983e0 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)
- 16.6370 16.6060 17.3559 15.9961 0.3836
+ 16.1105 16.0713 16.8110 15.6644 0.3204
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 f46a2bbe64..ea076a69f4 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
-
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11%|#1 | 19.5M/170M [00:00<00:03, 43.6MB/s]
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]
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+
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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).
@@ -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 40.402 seconds)
+ **Total running time of the script:** ( 3 minutes 36.275 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 cb19bb0925..aa58e38938 100644
--- a/docs/_sources/how_to/deploy_models/deploy_prequantized.rst.txt
+++ b/docs/_sources/how_to/deploy_models/deploy_prequantized.rst.txt
@@ -227,7 +227,7 @@ training. Other models require a full post training calibration.
/venv/apache-tvm-py3.8/lib/python3.8/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=MobileNet_V2_Weights.IMAGENET1K_V1`. You can also use `weights=MobileNet_V2_Weights.DEFAULT` to get the most up-to-date weights.
warnings.warn(msg)
Downloading: "https://download.pytorch.org/models/mobilenet_v2-b0353104.pth" to /workspace/.cache/torch/hub/checkpoints/mobilenet_v2-b0353104.pth
-
0%| | 0.00/13.6M [00:00<?, ?B/s]
59%|#####8 | 7.99M/13.6M [00:00<00:00, 40.5MB/s]
100%|##########| 13.6M/13.6M [00:00<00:00, 57.9MB/s]
+
0%| | 0.00/13.6M [00:00<?, ?B/s]
59%|#####8 | 7.99M/13.6M [00:00<00:00, 76.5MB/s]
100%|##########| 13.6M/13.6M [00:00<00:00, 105MB/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)
- 88.9559 88.8992 90.8592 88.7334 0.2551
+ 89.1965 89.1515 91.5704 88.7013 0.3616
@@ -457,7 +457,7 @@ TODO
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 30.191 seconds)
+ **Total running time of the script:** ( 1 minutes 28.016 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 d06c9163b5..aaf4aae662 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)
- 109.4565 109.4101 110.4368 109.0710 0.2541
+ 109.8273 109.7246 120.4075 108.9207 1.1114
diff --git a/docs/_sources/how_to/deploy_models/deploy_quantized.rst.txt b/docs/_sources/how_to/deploy_models/deploy_quantized.rst.txt
index bb1ebb8e1e..52dd44b33d 100644
--- a/docs/_sources/how_to/deploy_models/deploy_quantized.rst.txt
+++ b/docs/_sources/how_to/deploy_models/deploy_quantized.rst.txt
@@ -257,7 +257,7 @@ We create a Relay VM to build and execute the model.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 54.575 seconds)
+ **Total running time of the script:** ( 1 minutes 48.531 seconds)
.. _sphx_glr_download_how_to_deploy_models_deploy_quantized.py:
diff --git a/docs/_sources/how_to/deploy_models/sg_execution_times.rst.txt b/docs/_sources/how_to/deploy_models/sg_execution_times.rst.txt
index 4371735574..fe99fe59a0 100644
--- a/docs/_sources/how_to/deploy_models/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/deploy_models/sg_execution_times.rst.txt
@@ -5,26 +5,26 @@
Computation times
=================
-**11:58.974** total execution time for **how_to_deploy_models** files:
+**11:40.643** 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``) | 03:40.402 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_object_detection_pytorch.py` (``deploy_object_detection_pytorch.py``) | 03:36.275 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_quantized.py` (``deploy_quantized.py``) | 01:54.575 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_quantized.py` (``deploy_quantized.py``) | 01:48.531 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized.py` (``deploy_prequantized.py``) | 01:30.191 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized.py` (``deploy_prequantized.py``) | 01:28.016 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_adreno.py` (``deploy_model_on_adreno.py``) | 01:19.947 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_adreno.py` (``deploy_model_on_adreno.py``) | 01:19.332 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_android.py` (``deploy_model_on_android.py``) | 00:52.204 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized_tflite.py` (``deploy_prequantized_tflite.py``) | 00:51.281 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized_tflite.py` (``deploy_prequantized_tflite.py``) | 00:52.086 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_android.py` (``deploy_model_on_android.py``) | 00:50.132 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_adreno_tvmc.py` (``deploy_model_on_adreno_tvmc.py``) | 00:47.382 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_adreno_tvmc.py` (``deploy_model_on_adreno_tvmc.py``) | 00:46.446 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_nano.py` (``deploy_model_on_nano.py``) | 00:31.354 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_nano.py` (``deploy_model_on_nano.py``) | 00:30.422 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_rasp.py` (``deploy_model_on_rasp.py``) | 00:30.828 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_rasp.py` (``deploy_model_on_rasp.py``) | 00:30.202 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_how_to_deploy_models_deploy_sparse.py` (``deploy_sparse.py``) | 00:00.007 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/docs/_sources/how_to/extend_tvm/bring_your_own_datatypes.rst.txt b/docs/_sources/how_to/extend_tvm/bring_your_own_datatypes.rst.txt
index 0e602eaa63..eba5070ea1 100644
--- a/docs/_sources/how_to/extend_tvm/bring_your_own_datatypes.rst.txt
+++ b/docs/_sources/how_to/extend_tvm/bring_your_own_datatypes.rst.txt
@@ -463,7 +463,7 @@ First let us define two helper functions to get the mobilenet model and a cat im
.. code-block:: none
- Downloading /workspace/.mxnet/models/mobilenet0.25-9f83e440.zip464252ec-2b4d-479f-a87c-33f34edcd814 from https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/models/mobilenet0.25-9f83e440.zip...
+ Downloading /workspace/.mxnet/models/mobilenet0.25-9f83e440.zip55edd3f0-3000-43fb-a3aa-64c1eabb619e from https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/models/mobilenet0.25-9f83e440.zip...
diff --git a/docs/_sources/how_to/extend_tvm/sg_execution_times.rst.txt b/docs/_sources/how_to/extend_tvm/sg_execution_times.rst.txt
index ee39f4c737..42787a7e71 100644
--- a/docs/_sources/how_to/extend_tvm/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/extend_tvm/sg_execution_times.rst.txt
@@ -5,14 +5,14 @@
Computation times
=================
-**00:59.240** total execution time for **how_to_extend_tvm** files:
+**00:57.232** total execution time for **how_to_extend_tvm** files:
+-------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_extend_tvm_bring_your_own_datatypes.py` (``bring_your_own_datatypes.py``) | 00:55.154 | 0.0 MB |
+| :ref:`sphx_glr_how_to_extend_tvm_bring_your_own_datatypes.py` (``bring_your_own_datatypes.py``) | 00:53.278 | 0.0 MB |
+-------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_extend_tvm_use_pass_instrument.py` (``use_pass_instrument.py``) | 00:02.864 | 0.0 MB |
+| :ref:`sphx_glr_how_to_extend_tvm_use_pass_instrument.py` (``use_pass_instrument.py``) | 00:02.776 | 0.0 MB |
+-------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_extend_tvm_use_pass_infra.py` (``use_pass_infra.py``) | 00:01.214 | 0.0 MB |
+| :ref:`sphx_glr_how_to_extend_tvm_use_pass_infra.py` (``use_pass_infra.py``) | 00:01.170 | 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 6b3ccf7515..a960e44c1b 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: 25157us [25157us] (48.39%; 48.39%)
- FoldScaleAxis: 26831us [8us] (51.61%; 51.61%)
- FoldConstant: 26823us [1803us] (51.59%; 99.97%)
- InferType: 25020us [25020us] (48.13%; 93.28%)
+ InferType: 25042us [25042us] (48.42%; 48.42%)
+ FoldScaleAxis: 26673us [8us] (51.58%; 51.58%)
+ FoldConstant: 26665us [1806us] (51.56%; 99.97%)
+ InferType: 24859us [24859us] (48.07%; 93.23%)
@@ -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: 24889us [24889us] (48.40%; 48.40%)
- FoldScaleAxis: 26538us [8us] (51.60%; 51.60%)
- FoldConstant: 26531us [1861us] (51.59%; 99.97%)
- InferType: 24669us [24669us] (47.97%; 92.98%)
+ InferType: 24708us [24708us] (47.98%; 47.98%)
+ FoldScaleAxis: 26792us [7us] (52.02%; 52.02%)
+ FoldConstant: 26785us [1863us] (52.01%; 99.97%)
+ InferType: 24922us [24922us] (48.39%; 93.05%)
diff --git a/docs/_sources/how_to/optimize_operators/opt_conv_cuda.rst.txt b/docs/_sources/how_to/optimize_operators/opt_conv_cuda.rst.txt
index b466f194dc..aa6e90583c 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: 53.559265 ms
+ Convolution: 45.397983 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 0870de3a95..57dfd39ec1 100644
--- a/docs/_sources/how_to/optimize_operators/opt_conv_tensorcore.rst.txt
+++ b/docs/_sources/how_to/optimize_operators/opt_conv_tensorcore.rst.txt
@@ -598,7 +598,7 @@ be able to run on our build server
.. code-block:: none
- conv2d with tensor core: 11.852438 ms
+ conv2d with tensor core: 12.273431 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 ad72e9e3e0..d6dce6aade 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: 0.019085
- Baseline: 3.436262
+ Numpy running time: 0.019778
+ Baseline: 3.294138
@@ -227,7 +227,7 @@ fill 32 * 32 * sizeof(float) which is 4KB in the cache whose total size is 32KB
.. code-block:: none
- Opt1: 0.304993
+ Opt1: 0.300577
@@ -318,7 +318,7 @@ In this tutorial, we chose to vectorize the inner loop row data since it is cach
.. code-block:: none
- Opt2: 0.292557
+ Opt2: 0.279936
@@ -406,7 +406,7 @@ the access pattern for A matrix is more cache friendly.
.. code-block:: none
- Opt3: 0.120240
+ Opt3: 0.113987
@@ -523,7 +523,7 @@ flattening.
.. code-block:: none
- Opt4: 0.110445
+ Opt4: 0.111562
@@ -635,7 +635,7 @@ write to C when all the block results are ready.
.. code-block:: none
- Opt5: 0.112501
+ Opt5: 0.116345
@@ -748,7 +748,7 @@ Furthermore, we can also utilize multi-core processors to do the thread-level pa
.. code-block:: none
- Opt6: 0.133147
+ Opt6: 0.138273
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 99c5d66e49..3b232e4855 100644
--- a/docs/_sources/how_to/optimize_operators/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/optimize_operators/sg_execution_times.rst.txt
@@ -5,12 +5,12 @@
Computation times
=================
-**00:34.495** total execution time for **how_to_optimize_operators** files:
+**00:34.219** total execution time for **how_to_optimize_operators** files:
+-----------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_optimize_operators_opt_gemm.py` (``opt_gemm.py``) | 00:31.357 | 0.0 MB |
+| :ref:`sphx_glr_how_to_optimize_operators_opt_gemm.py` (``opt_gemm.py``) | 00:31.050 | 0.0 MB |
+-----------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_optimize_operators_opt_conv_tensorcore.py` (``opt_conv_tensorcore.py``) | 00:01.918 | 0.0 MB |
+| :ref:`sphx_glr_how_to_optimize_operators_opt_conv_tensorcore.py` (``opt_conv_tensorcore.py``) | 00:01.919 | 0.0 MB |
+-----------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_optimize_operators_opt_conv_cuda.py` (``opt_conv_cuda.py``) | 00:01.220 | 0.0 MB |
+| :ref:`sphx_glr_how_to_optimize_operators_opt_conv_cuda.py` (``opt_conv_cuda.py``) | 00:01.249 | 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 6ffda6ef6b..e412dca5e9 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
=================
-**03:40.612** total execution time for **how_to_tune_with_autoscheduler** files:
+**03:35.290** 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``) | 01:35.201 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_x86.py` (``tune_network_x86.py``) | 01:33.353 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_cuda.py` (``tune_network_cuda.py``) | 01:13.784 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_cuda.py` (``tune_network_cuda.py``) | 01:11.999 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_arm.py` (``tune_network_arm.py``) | 00:18.231 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_arm.py` (``tune_network_arm.py``) | 00:17.545 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_mali.py` (``tune_network_mali.py``) | 00:16.690 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_mali.py` (``tune_network_mali.py``) | 00:16.151 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_conv2d_layer_cuda.py` (``tune_conv2d_layer_cuda.py``) | 00:16.604 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_conv2d_layer_cuda.py` (``tune_conv2d_layer_cuda.py``) | 00:16.142 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_sparse_x86.py` (``tune_sparse_x86.py``) | 00:00.102 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_sparse_x86.py` (``tune_sparse_x86.py``) | 00:00.100 | 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 2797b93c6e..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: 0.335 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 6a159f7e85..c30b8c7a10 100644
--- a/docs/_sources/how_to/tune_with_autoscheduler/tune_network_cuda.rst.txt
+++ b/docs/_sources/how_to/tune_with_autoscheduler/tune_network_cuda.rst.txt
@@ -647,7 +647,7 @@ so we can read the log file and load the best schedules.
Evaluate inference time cost...
Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 3.2018 3.2013 3.2029 3.2013 0.0007
+ 3.2300 3.2332 3.2355 3.2212 0.0063
@@ -674,7 +674,7 @@ Other Tips
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 13.784 seconds)
+ **Total running time of the script:** ( 1 minutes 11.999 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 269adf5d17..a2f5e3496b 100644
--- a/docs/_sources/how_to/tune_with_autoscheduler/tune_network_x86.rst.txt
+++ b/docs/_sources/how_to/tune_with_autoscheduler/tune_network_x86.rst.txt
@@ -666,7 +666,7 @@ so we can read the log file and load the best schedules.
Evaluate inference time cost...
Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 755.0028 755.8018 755.9884 753.2182 1.2642
+ 760.5000 759.5902 762.9804 758.9295 1.7745
@@ -693,7 +693,7 @@ Other Tips
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 35.201 seconds)
+ **Total running time of the script:** ( 1 minutes 33.353 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 54042d7545..98e2062f7b 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
=================
-**00:23.959** total execution time for **how_to_tune_with_autotvm** files:
+**00:23.842** 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``) | 00:23.919 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_conv2d_cuda.py` (``tune_conv2d_cuda.py``) | 00:23.809 | 0.0 MB |
+--------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_x86.py` (``tune_relay_x86.py``) | 00:00.023 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_x86.py` (``tune_relay_x86.py``) | 00:00.017 | 0.0 MB |
+--------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_cuda.py` (``tune_relay_cuda.py``) | 00:00.006 | 0.0 MB |
+--------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/docs/_sources/how_to/tune_with_autotvm/tune_conv2d_cuda.rst.txt b/docs/_sources/how_to/tune_with_autotvm/tune_conv2d_cuda.rst.txt
index a3cb04c66f..f686e7c874 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: 0.037215
+ Time cost of this operator: 0.037175
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 4653bfaded..d33c001b6c 100644
--- a/docs/_sources/how_to/work_with_microtvm/micro_autotune.rst.txt
+++ b/docs/_sources/how_to/work_with_microtvm/micro_autotune.rst.txt
@@ -360,10 +360,10 @@ Timing the untuned program
########## Build without Autotuning ##########
Node Name Ops Time(us) Time(%) Shape Inputs Outputs Measurements(us)
--------- --- -------- ------- ----- ------ ------- ----------------
- tvmgen_default_fused_nn_contrib_conv2d_NCHWc tvmgen_default_fused_nn_contrib_conv2d_NCHWc 303.2 98.703 (1, 2, 10, 10, 3) 2 1 [303.2]
- tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 3.012 0.98 (1, 6, 10, 10) 1 1 [3.012]
- tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.972 0.316 (1, 1, 10, 10, 3) 1 1 [0.972]
- Total_time - 307.183 - - - - -
+ tvmgen_default_fused_nn_contrib_conv2d_NCHWc tvmgen_default_fused_nn_contrib_conv2d_NCHWc 301.5 98.717 (1, 2, 10, 10, 3) 2 1 [301.5]
+ tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 2.982 0.976 (1, 6, 10, 10) 1 1 [2.982]
+ tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.937 0.307 (1, 1, 10, 10, 3) 1 1 [0.937]
+ Total_time - 305.419 - - - - -
@@ -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 102.1 97.488 (1, 6, 10, 10, 1) 2 1 [102.1]
- tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 1.77 1.69 (1, 6, 10, 10) 1 1 [1.77]
- tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.861 0.822 (1, 3, 10, 10, 1) 1 1 [0.861]
- Total_time - 104.731 - - - - -
+ tvmgen_default_fused_nn_contrib_conv2d_NCHWc tvmgen_default_fused_nn_contrib_conv2d_NCHWc 102.0 97.521 (1, 6, 10, 10, 1) 2 1 [102.0]
+ tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 1.752 1.675 (1, 6, 10, 10) 1 1 [1.752]
+ tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.841 0.804 (1, 3, 10, 10, 1) 1 1 [0.841]
+ Total_time - 104.593 - - - - -
@@ -439,7 +439,7 @@ Timing the tuned program
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 17.351 seconds)
+ **Total running time of the script:** ( 1 minutes 14.507 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 d701d32ba5..78bc3cd9ca 100644
--- a/docs/_sources/how_to/work_with_microtvm/micro_pytorch.rst.txt
+++ b/docs/_sources/how_to/work_with_microtvm/micro_pytorch.rst.txt
@@ -118,7 +118,7 @@ download a cat image and preprocess it to use as the model input.
/venv/apache-tvm-py3.8/lib/python3.8/site-packages/torch/ao/quantization/utils.py:310: UserWarning: must run observer before calling calculate_qparams. Returning default values.
warnings.warn(
Downloading: "https://download.pytorch.org/models/quantized/mobilenet_v2_qnnpack_37f702c5.pth" to /workspace/.cache/torch/hub/checkpoints/mobilenet_v2_qnnpack_37f702c5.pth
-
0%| | 0.00/3.42M [00:00<?, ?B/s]
100%|##########| 3.42M/3.42M [00:00<00:00, 45.3MB/s]
+
0%| | 0.00/3.42M [00:00<?, ?B/s]
100%|##########| 3.42M/3.42M [00:00<00:00, 117MB/s]
/venv/apache-tvm-py3.8/lib/python3.8/site-packages/torch/_utils.py:314: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
device=storage.device,
/workspace/python/tvm/relay/frontend/pytorch_utils.py:47: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.
@@ -326,7 +326,7 @@ Look up prediction top 1 index in 1000 class synset.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 29.976 seconds)
+ **Total running time of the script:** ( 1 minutes 26.795 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 2815312ee3..c3d5190e86 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/tmprf0spwv5/images/random'
+ '/tmp/tmpfbpwx3f7/images/random'
@@ -317,8 +317,8 @@ objects to other stuff? We can display some examples from our datasets using ``m
.. code-block:: none
- /tmp/tmprf0spwv5/images/target contains 8144 images
- /tmp/tmprf0spwv5/images/random contains 5000 images
+ /tmp/tmpfbpwx3f7/images/target contains 8144 images
+ /tmp/tmpfbpwx3f7/images/random contains 5000 images
@@ -493,13 +493,13 @@ the time on our validation set).
.. code-block:: none
Epoch 1/3
- 328/328 - 40s - loss: 0.2180 - accuracy: 0.9221 - val_loss: 0.1137 - val_accuracy: 0.9611 - 40s/epoch - 121ms/step
+ 328/328 - 39s - loss: 0.2378 - accuracy: 0.9221 - val_loss: 0.1200 - val_accuracy: 0.9566 - 39s/epoch - 118ms/step
Epoch 2/3
- 328/328 - 36s - loss: 0.1010 - accuracy: 0.9647 - val_loss: 0.1113 - val_accuracy: 0.9573 - 36s/epoch - 108ms/step
+ 328/328 - 35s - loss: 0.1030 - accuracy: 0.9625 - val_loss: 0.1035 - val_accuracy: 0.9630 - 35s/epoch - 106ms/step
Epoch 3/3
- 328/328 - 35s - loss: 0.0687 - accuracy: 0.9744 - val_loss: 0.0991 - val_accuracy: 0.9675 - 35s/epoch - 108ms/step
+ 328/328 - 35s - loss: 0.0686 - accuracy: 0.9731 - val_loss: 0.1257 - val_accuracy: 0.9577 - 35s/epoch - 106ms/step
- <keras.callbacks.History object at 0x7fe2c9798a30>
+ <keras.callbacks.History object at 0x7f56e80a9670>
@@ -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 22.679 seconds)
+ **Total running time of the script:** ( 4 minutes 17.930 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 08fb577b02..d7fdda7121 100644
--- a/docs/_sources/how_to/work_with_microtvm/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/work_with_microtvm/sg_execution_times.rst.txt
@@ -5,20 +5,20 @@
Computation times
=================
-**07:38.800** total execution time for **how_to_work_with_microtvm** files:
+**07:27.204** total execution time for **how_to_work_with_microtvm** files:
+-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_train.py` (``micro_train.py``) | 04:22.679 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_train.py` (``micro_train.py``) | 04:17.930 | 0.0 MB |
+-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_pytorch.py` (``micro_pytorch.py``) | 01:29.976 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_pytorch.py` (``micro_pytorch.py``) | 01:26.795 | 0.0 MB |
+-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_autotune.py` (``micro_autotune.py``) | 01:17.351 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_autotune.py` (``micro_autotune.py``) | 01:14.507 | 0.0 MB |
+-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_aot.py` (``micro_aot.py``) | 00:11.535 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_aot.py` (``micro_aot.py``) | 00:11.321 | 0.0 MB |
+-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_custom_ide.py` (``micro_custom_ide.py``) | 00:09.033 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_custom_ide.py` (``micro_custom_ide.py``) | 00:08.704 | 0.0 MB |
+-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_tflite.py` (``micro_tflite.py``) | 00:08.225 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_tflite.py` (``micro_tflite.py``) | 00:07.947 | 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 0db85f7a47..5055924ca8 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
=================
-**00:39.513** total execution time for **how_to_work_with_relay** files:
+**00:38.482** total execution time for **how_to_work_with_relay** files:
+----------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_relay_using_pipeline_executor.py` (``using_pipeline_executor.py``) | 00:34.278 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_relay_using_pipeline_executor.py` (``using_pipeline_executor.py``) | 00:33.477 | 0.0 MB |
+----------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_relay_using_external_lib.py` (``using_external_lib.py``) | 00:03.206 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_relay_using_external_lib.py` (``using_external_lib.py``) | 00:03.130 | 0.0 MB |
+----------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_relay_build_gcn.py` (``build_gcn.py``) | 00:02.023 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_relay_build_gcn.py` (``build_gcn.py``) | 00:01.869 | 0.0 MB |
+----------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_how_to_work_with_relay_using_relay_viz.py` (``using_relay_viz.py``) | 00:00.006 | 0.0 MB |
+----------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/docs/_sources/how_to/work_with_schedules/intrin_math.rst.txt b/docs/_sources/how_to/work_with_schedules/intrin_math.rst.txt
index acd14d857e..e096e02b7f 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 0x7fe2ddfd2310>
+ <function my_cuda_math_rule at 0x7f5ba7df24c0>
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 bc50341bc0..2983ac15a0 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
=================
-**00:05.790** total execution time for **how_to_work_with_schedules** files:
+**00:05.482** total execution time for **how_to_work_with_schedules** files:
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_intrin_math.py` (``intrin_math.py``) | 00:02.638 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_intrin_math.py` (``intrin_math.py``) | 00:02.620 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_tensorize.py` (``tensorize.py``) | 00:01.390 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_tensorize.py` (``tensorize.py``) | 00:01.105 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_reduction.py` (``reduction.py``) | 00:00.741 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_reduction.py` (``reduction.py``) | 00:00.738 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_scan.py` (``scan.py``) | 00:00.732 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_scan.py` (``scan.py``) | 00:00.734 | 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_extern_op.py` (``extern_op.py``) | 00:00.118 | 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``) | 00:00.068 | 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``) | 00:00.032 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/docs/_sources/topic/vta/tutorials/autotvm/sg_execution_times.rst.txt b/docs/_sources/topic/vta/tutorials/autotvm/sg_execution_times.rst.txt
index 9e46e59901..43a693d219 100644
--- a/docs/_sources/topic/vta/tutorials/autotvm/sg_execution_times.rst.txt
+++ b/docs/_sources/topic/vta/tutorials/autotvm/sg_execution_times.rst.txt
@@ -5,10 +5,10 @@
Computation times
=================
-**00:36.156** total execution time for **topic_vta_tutorials_autotvm** files:
+**00:34.691** total execution time for **topic_vta_tutorials_autotvm** files:
+---------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_autotvm_tune_relay_vta.py` (``tune_relay_vta.py``) | 00:36.148 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_autotvm_tune_relay_vta.py` (``tune_relay_vta.py``) | 00:34.684 | 0.0 MB |
+---------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_autotvm_tune_alu_vta.py` (``tune_alu_vta.py``) | 00:00.008 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_autotvm_tune_alu_vta.py` (``tune_alu_vta.py``) | 00:00.007 | 0.0 MB |
+---------------------------------------------------------------------------------------+-----------+--------+
diff --git a/docs/_sources/topic/vta/tutorials/frontend/deploy_classification.rst.txt b/docs/_sources/topic/vta/tutorials/frontend/deploy_classification.rst.txt
index 7af2bb3210..754702dc6b 100644
--- a/docs/_sources/topic/vta/tutorials/frontend/deploy_classification.rst.txt
+++ b/docs/_sources/topic/vta/tutorials/frontend/deploy_classification.rst.txt
@@ -293,7 +293,7 @@ The compilation steps are:
warnings.warn(
/workspace/vta/tutorials/frontend/deploy_classification.py:212: DeprecationWarning: legacy graph executor behavior of producing json / lib / params will be removed in the next release. Please see documents of tvm.contrib.graph_executor.GraphModule for the new recommended usage.
graph, lib, params = relay.build(
- resnet18_v1 inference graph built in 38.72s!
+ resnet18_v1 inference graph built in 36.73s!
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 326bfd128f..779e97a1e0 100644
--- a/docs/_sources/topic/vta/tutorials/frontend/deploy_detection.rst.txt
+++ b/docs/_sources/topic/vta/tutorials/frontend/deploy_detection.rst.txt
@@ -337,7 +337,7 @@ The compilation steps are:
/workspace/python/tvm/relay/build_module.py:345: DeprecationWarning: Please use input parameter mod (tvm.IRModule) instead of deprecated parameter mod (tvm.relay.function.Function)
warnings.warn(
- yolov3-tiny inference graph built in 26.34s!
+ yolov3-tiny inference graph built in 25.19s!
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 d745652c58..37c444df6b 100644
--- a/docs/_sources/topic/vta/tutorials/frontend/sg_execution_times.rst.txt
+++ b/docs/_sources/topic/vta/tutorials/frontend/sg_execution_times.rst.txt
@@ -5,10 +5,10 @@
Computation times
=================
-**01:59.350** total execution time for **topic_vta_tutorials_frontend** files:
+**01:55.130** total execution time for **topic_vta_tutorials_frontend** files:
+------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_frontend_deploy_classification.py` (``deploy_classification.py``) | 00:59.686 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_frontend_deploy_detection.py` (``deploy_detection.py``) | 00:57.850 | 0.0 MB |
+------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_frontend_deploy_detection.py` (``deploy_detection.py``) | 00:59.664 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_frontend_deploy_classification.py` (``deploy_classification.py``) | 00:57.280 | 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 cc07c103f2..ff806f4515 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
=================
-**00:03.383** total execution time for **topic_vta_tutorials_optimize** files:
+**00:03.280** total execution time for **topic_vta_tutorials_optimize** files:
+--------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_optimize_convolution_opt.py` (``convolution_opt.py``) | 00:02.863 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_optimize_convolution_opt.py` (``convolution_opt.py``) | 00:02.781 | 0.0 MB |
+--------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_optimize_matrix_multiply_opt.py` (``matrix_multiply_opt.py``) | 00:00.520 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_optimize_matrix_multiply_opt.py` (``matrix_multiply_opt.py``) | 00:00.499 | 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 59a153137b..a2df33d0c8 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
=================
-**00:00.857** total execution time for **topic_vta_tutorials** files:
+**00:00.837** total execution time for **topic_vta_tutorials** files:
+---------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_matrix_multiply.py` (``matrix_multiply.py``) | 00:00.443 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_matrix_multiply.py` (``matrix_multiply.py``) | 00:00.430 | 0.0 MB |
+---------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_vta_get_started.py` (``vta_get_started.py``) | 00:00.414 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_vta_get_started.py` (``vta_get_started.py``) | 00:00.406 | 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 343f5b0616..958778178f 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: 95.747 ms
+ Execution time of this operator: 94.026 ms
@@ -434,7 +434,7 @@ operations.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 20.766 seconds)
+ **Total running time of the script:** ( 1 minutes 24.345 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 b4e2d7ec44..9f19d76226 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: 1.03/1.03 result: MeasureResult(costs=(0.2614131618,), error_no=MeasureErrorNo.NO_ERROR, all_cost=4.456237316131592, timestamp=1706080303.317918) [('tile_y', [-1, 32]), ('tile_x', [-1, 2])],None,15
- No: 2 GFLOPS: 0.50/1.03 result: MeasureResult(costs=(0.5376759668,), error_no=MeasureErrorNo.NO_ERROR, all_cost=8.874134540557861, timestamp=1706080312.1919332) [('tile_y', [-1, 32]), ('tile_x', [-1, 1])],None,5
- No: 3 GFLOPS: 1.52/1.52 result: MeasureResult(costs=(0.1771407002,), error_no=MeasureErrorNo.NO_ERROR, all_cost=3.067423105239868, timestamp=1706080315.286522) [('tile_y', [-1, 1]), ('tile_x', [-1, 1])],None,0
- No: 4 GFLOPS: 10.43/10.43 result: MeasureResult(costs=(0.025727178,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6735575199127197, timestamp=1706080315.9580333) [('tile_y', [-1, 4]), ('tile_x', [-1, 64])],None,62
- No: 5 GFLOPS: 1.98/10.43 result: MeasureResult(costs=(0.1354929692,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.4150900840759277, timestamp=1706080318.498093) [('tile_y', [-1, 8]), ('tile_x', [-1, 1])],None,3
- No: 6 GFLOPS: 3.44/10.43 result: MeasureResult(costs=(0.07814346900000001,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.5155627727508545, timestamp=1706080320.015694) [('tile_y', [-1, 512]), ('tile_x', [-1, 8])],None,39
- No: 7 GFLOPS: 8.00/10.43 result: MeasureResult(costs=(0.0335737542,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7880275249481201, timestamp=1706080320.8148987) [('tile_y', [-1, 1]), ('tile_x', [-1, 8])],None,30
- No: 8 GFLOPS: 3.65/10.43 result: MeasureResult(costs=(0.07359829120000001,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.4393582344055176, timestamp=1706080322.2500675) [('tile_y', [-1, 128]), ('tile_x', [-1, 8])],None,37
- No: 9 GFLOPS: 11.07/11.07 result: MeasureResult(costs=(0.0242546058,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6384038925170898, timestamp=1706080322.9988668) [('tile_y', [-1, 128]), ('tile_x', [-1, 256])],None,87
- No: 10 GFLOPS: 10.22/11.07 result: MeasureResult(costs=(0.0262538288,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6503252983093262, timestamp=1706080323.6807156) [('tile_y', [-1, 2]), ('tile_x', [-1, 64])],None,61
+ No: 1 GFLOPS: 8.86/8.86 result: MeasureResult(costs=(0.030303070000000005,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7609262466430664, timestamp=1706124138.9349732) [('tile_y', [-1, 256]), ('tile_x', [-1, 16])],None,48
+ No: 2 GFLOPS: 10.29/10.29 result: MeasureResult(costs=(0.0260961502,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7297794818878174, timestamp=1706124139.612983) [('tile_y', [-1, 4]), ('tile_x', [-1, 128])],None,72
+ No: 3 GFLOPS: 11.69/11.69 result: MeasureResult(costs=(0.0229597784,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6188881397247314, timestamp=1706124140.2418802) [('tile_y', [-1, 128]), ('tile_x', [-1, 512])],None,97
+ No: 4 GFLOPS: 9.70/11.69 result: MeasureResult(costs=(0.027681527,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.711867094039917, timestamp=1706124140.9443858) [('tile_y', [-1, 8]), ('tile_x', [-1, 4])],None,23
+ No: 5 GFLOPS: 12.67/12.67 result: MeasureResult(costs=(0.0211803324,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7192549705505371, timestamp=1706124141.8059738) [('tile_y', [-1, 256]), ('tile_x', [-1, 128])],None,78
+ No: 6 GFLOPS: 1.02/12.67 result: MeasureResult(costs=(0.2625723646,), error_no=MeasureErrorNo.NO_ERROR, all_cost=4.454614639282227, timestamp=1706124146.264766) [('tile_y', [-1, 256]), ('tile_x', [-1, 2])],None,18
+ No: 7 GFLOPS: 9.29/12.67 result: MeasureResult(costs=(0.0288972298,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.8758776187896729, timestamp=1706124146.9921706) [('tile_y', [-1, 2]), ('tile_x', [-1, 128])],None,71
+ No: 8 GFLOPS: 1.85/12.67 result: MeasureResult(costs=(0.1452645234,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.5733234882354736, timestamp=1706124149.5710547) [('tile_y', [-1, 4]), ('tile_x', [-1, 1])],None,2
+ No: 9 GFLOPS: 12.12/12.67 result: MeasureResult(costs=(0.022142588,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.5821785926818848, timestamp=1706124150.2973776) [('tile_y', [-1, 16]), ('tile_x', [-1, 16])],None,44
+ No: 10 GFLOPS: 12.86/12.86 result: MeasureResult(costs=(0.020876576,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6023285388946533, timestamp=1706124150.8937674) [('tile_y', [-1, 128]), ('tile_x', [-1, 128])],None,77
diff --git a/docs/_sources/tutorial/autotvm_relay_x86.rst.txt b/docs/_sources/tutorial/autotvm_relay_x86.rst.txt
index a183419434..07123a963c 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': 494.5829668899989, 'median': 494.5038646499995, 'std': 1.1535267186212477}
+ {'mean': 497.74627236000924, 'median': 497.2623973500049, 'std': 2.7403150565333325}
@@ -582,31 +582,30 @@ the tuning data to.
.. code-block:: none
-
[Task 1/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 1/25] Current/Best: 13.76/ 13.84 GFLOPS | Progress: (4/20) | 8.28 s
[Task 1/25] Current/Best: 9.26/ 17.49 GFLOPS | Progress: (8/20) | 16.21 s
[Task 1/25] Current/Best: 13.20/ 17.49 GFLOPS | Progress: (12/20) | 18.84 s
[Task 1/25] Current/Best: 6.87/ 20.09 GFLOPS | Progress: (16/20) | 22.11 s
[Task 1/25] Current/Best: 12.41/ 20.09 GFLOPS | Progress: (20/20) | 25.68 s Done.
-
[Task 2/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 2/25] Current/Best: 16.84/ 21.19 GFLOPS | Progress: (4/20) | 3.97 s
[Task 2/25] Current/Best: 6.66/ 21.19 GFLOPS | Progress: (8/20) | 5.41 s
[Task 2/25] Current/Best: 7.00/ 21.19 GFLOPS | Progress: (12/20) | 8.16 s
[Task 2/25] Current/Best: 13.17/ 21.57 GFLOPS | Progress: (16/20) | 9.70 s
[Task 2/25] Current/Best: 6.92/ 21.57 GFLOPS | Progress: (20/20) | 11.39 s Done.
-
[Task 3/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 3/25] Current/Best: 13.27/ 21.70 GFLOPS | Progress: (4/20) | 4.65 s
[Task 3/25] Current/Best: 22.41/ 22.41 GFLOPS | Progress: (8/20) | 6.85 s
[Task 3/25] Current/Best: 20.44/ 22.41 GFLOPS | Progress: (12/20) | 10.76 s
[Task 3/25] Current/Best: 9.46/ 22.41 GFLOPS | Progress: (16/20) | 14.18 s
[Task 3/25] Current/Best: 6.37/ 22.41 GFLOPS | Progress: (20/20) | 17.02 s Done.
-
[Task 4/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 4/25] Current/Best: 14.54/ 15.66 GFLOPS | Progress: (4/20) | 4.47 s
[Task 4/25] Current/Best: 7.27/ 18.35 GFLOPS | Progress: (8/20) | 6.31 s
[Task 4/25] Current/Best: 13.88/ 19.77 GFLOPS | Progress: (12/20) | 8.37 s
[Task 4/25] Current/Best: 8.85/ 19.83 GFLOPS | Progress: (16/20) | 12.67 s
[Task 4/25] Current/Best: 13.24/ 19.83 GFLOPS | Progress: (20/20) | 15.74 s Done.
-
[Task 5/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 5/25] Current/Best: 14.98/ 14.98 GFLOPS | Progress: (4/20) | 4.23 s
[Task 5/25] Current/Best: 15.77/ 17.89 GFLOPS | Progress: (8/20) | 6.11 s
[Task 5/25] Current/Best: 8.31/ 17.89 GFLOPS | Progress: (12/20) | 8.23 s
[Task 5/25] Current/Best: 22.32/ 22.32 GFLOPS | Progress: (16/20) | 9.97 s
[Task 5/25] Current/Best: 12.21/ 22.32 GFLOPS | Progress: (20/20) | 12.29 s Done.
-
[Task 6/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 6/25] Current/Best: 17.66/ 19.02 GFLOPS | Progress: (4/20) | 4.61 s
[Task 6/25] Current/Best: 5.42/ 19.02 GFLOPS | Progress: (8/20) | 7.49 s
[Task 6/25] Current/Best: 4.14/ 19.02 GFLOPS | Progress: (12/20) | 12.76 s
[Task 6/25] Current/Best: 14.26/ 19.02 GFLOPS | Progress: (16/20) | 16.30 s
[Task 6/25] Current/Best: 14.94/ 20.77 GFLOPS | Progress: (20/20) | 18.84 s Done.
-
[Task 7/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 7/25] Current/Best: 13.81/ 18.09 GFLOPS | Progress: (4/20) | 4.74 s
[Task 7/25] Current/Best: 7.79/ 18.09 GFLOPS | Progress: (8/20) | 7.48 s
[Task 7/25] Current/Best: 6.13/ 19.91 GFLOPS | Progress: (12/20) | 10.06 s
[Task 7/25] Current/Best: 19.32/ 19.91 GFLOPS | Progress: (16/20) | 13.17 s
[Task 7/25] Current/Best: 19.36/ 19.91 GFLOPS | Progress: (20/20) | 15.46 s Done.
-
[Task 8/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 8/25] Current/Best: 7.45/ 15.71 GFLOPS | Progress: (4/20) | 14.54 s
[Task 8/25] Current/Best: 13.37/ 17.32 GFLOPS | Progress: (8/20) | 19.34 s
[Task 8/25] Current/Best: 10.16/ 17.48 GFLOPS | Progress: (12/20) | 23.22 s
[Task 8/25] Current/Best: 14.22/ 17.48 GFLOPS | Progress: (16/20) | 27.28 s
[Task 8/25] Current/Best: 11.31/ 17.48 GFLOPS | Progress: (20/20) | 30.23 s Done.
-
[Task 9/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 9/25] Current/Best: 9.25/ 10.91 GFLOPS | Progress: (4/20) | 8.16 s
[Task 9/25] Current/Best: 7.55/ 11.33 GFLOPS | Progress: (8/20) | 14.74 s
[Task 9/25] Current/Best: 7.64/ 22.83 GFLOPS | Progress: (12/20) | 25.88 s
[Task 9/25] Current/Best: 10.46/ 22.83 GFLOPS | Progress: (16/20) | 29.02 s
[Task 9/25] Current/Best: 19.02/ 22.83 GFLOPS | Progress: (20/20) | 34.03 s
[Task 10/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 10/25] Current/Best: 6.60/ 13.36 GFLOPS | Progress: (4/20) | 4.80 s
[Task 10/25] Current/Best: 14.50/ 14.79 GFLOPS | Progress: (8/20) | 8.74 s
[Task 10/25] Current/Best: 9.80/ 17.03 GFLOPS | Progress: (12/20) | 11.98 s
[Task 10/25] Current/Best: 14.07/ 17.03 GFLOPS | Progress: (16/20) | 14.58 s
[Task 10/25] Current/Best: 1.61/ 17.03 GFLOPS | Progress: (20/2
0) | 17.65 s Done.
-
[Task 11/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 11/25] Current/Best: 17.14/ 17.93 GFLOPS | Progress: (4/20) | 5.14 s
[Task 11/25] Current/Best: 12.10/ 17.93 GFLOPS | Progress: (8/20) | 7.40 s
[Task 11/25] Current/Best: 16.06/ 21.14 GFLOPS | Progress: (12/20) | 9.57 s
[Task 11/25] Current/Best: 12.34/ 22.91 GFLOPS | Progress: (16/20) | 11.89 s
[Task 11/25] Current/Best: 11.50/ 22.91 GFLOPS | Progress: (20/20) | 15.40 s Done.
-
[Task 12/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 12/25] Current/Best: 14.56/ 16.52 GFLOPS | Progress: (4/20) | 4.75 s
[Task 12/25] Current/Best: 11.95/ 18.45 GFLOPS | Progress: (8/20) | 7.37 s
[Task 12/25] Current/Best: 13.25/ 18.45 GFLOPS | Progress: (12/20) | 9.98 s
[Task 12/25] Current/Best: 15.01/ 18.45 GFLOPS | Progress: (16/20) | 12.45 s
[Task 12/25] Current/Best: 1.62/ 18.62 GFLOPS | Progress: (20/20) | 15.52 s Done.
-
[Task 13/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 13/25] Current/Best: 3.11/ 20.69 GFLOPS | Progress: (4/20) | 6.50 s
[Task 13/25] Current/Best: 1.56/ 20.69 GFLOPS | Progress: (8/20) | 11.83 s
[Task 13/25] Current/Best: 4.51/ 20.69 GFLOPS | Progress: (12/20) | 16.03 s
[Task 13/25] Current/Best: 18.14/ 20.69 GFLOPS | Progress: (16/20) | 18.67 s
[Task 13/25] Current/Best: 21.53/ 21.53 GFLOPS | Progress: (20/20) | 21.01 s Done.
-
[Task 14/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 14/25] Current/Best: 7.42/ 16.15 GFLOPS | Progress: (4/20) | 9.27 s
[Task 14/25] Current/Best: 13.38/ 16.15 GFLOPS | Progress: (8/20) | 21.88 s
[Task 14/25] Current/Best: 13.68/ 16.15 GFLOPS | Progress: (12/20) | 25.05 s
[Task 14/25] Current/Best: 13.15/ 21.53 GFLOPS | Progress: (16/20) | 27.71 s
[Task 14/25] Current/Best: 11.15/ 21.53 GFLOPS | Progress: (20/20) | 39.30 s Done.
-
[Task 15/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 15/25] Current/Best: 10.69/ 20.38 GFLOPS | Progress: (4/20) | 4.55 s
[Task 15/25] Current/Best: 9.51/ 20.38 GFLOPS | Progress: (8/20) | 7.57 s
[Task 15/25] Current/Best: 19.27/ 20.38 GFLOPS | Progress: (12/20) | 16.49 s
[Task 15/25] Current/Best: 4.97/ 20.72 GFLOPS | Progress: (16/20) | 18.37 s
[Task 15/25] Current/Best: 17.11/ 22.24 GFLOPS | Progress: (20/20) | 20.00 s Done.
-
[Task 16/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 16/25] Current/Best: 5.99/ 17.59 GFLOPS | Progress: (4/20) | 5.06 s
[Task 16/25] Current/Best: 6.64/ 17.59 GFLOPS | Progress: (8/20) | 7.40 s
[Task 16/25] Current/Best: 18.64/ 18.64 GFLOPS | Progress: (12/20) | 11.10 s
[Task 16/25] Current/Best: 8.03/ 18.64 GFLOPS | Progress: (16/20) | 13.55 s
[Task 16/25] Current/Best: 17.55/ 18.64 GFLOPS | Progress: (20/20) | 16.41 s Done.
-
[Task 17/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 17/25] Current/Best: 17.41/ 17.41 GFLOPS | Progress: (4/20) | 4.81 s
[Task 17/25] Current/Best: 5.22/ 20.94 GFLOPS | Progress: (8/20) | 8.16 s
[Task 17/25] Current/Best: 10.39/ 22.95 GFLOPS | Progress: (12/20) | 10.23 s
[Task 17/25] Current/Best: 4.58/ 22.95 GFLOPS | Progress: (16/20) | 13.38 s
[Task 17/25] Current/Best: 1.56/ 22.95 GFLOPS | Progress: (20/20) | 17.44 s Done.
-
[Task 18/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 18/25] Current/Best: 9.92/ 16.33 GFLOPS | Progress: (4/20) | 8.93 s
[Task 18/25] Current/Best: 12.90/ 21.53 GFLOPS | Progress: (8/20) | 11.19 s
[Task 18/25] Current/Best: 17.14/ 21.53 GFLOPS | Progress: (12/20) | 13.88 s
[Task 18/25] Current/Best: 7.52/ 21.53 GFLOPS | Progress: (16/20) | 19.58 s
[Task 18/25] Current/Best: 6.95/ 21.53 GFLOPS | Progress: (20/20) | 26.07 s Done.
-
[Task 19/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 19/25] Current/Best: 7.70/ 12.06 GFLOPS | Progress: (4/20) | 6.84 s
[Task 19/25] Current/Best: 8.01/ 15.87 GFLOPS | Progress: (8/20) | 12.67 s
[Task 19/25] Current/Best: 4.82/ 20.73 GFLOPS | Progress: (12/20) | 15.34 s
[Task 19/25] Current/Best: 13.76/ 22.11 GFLOPS | Progress: (16/20) | 18.71 s
[Task 19/25] Current/Best: 6.99/ 22.11 GFLOPS | Progress: (20/20) | 22.36 s Done.
-
[Task 20/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 20/25] Current/Best: 2.69/ 15.56 GFLOPS | Progress: (4/20) | 14.83 s
[Task 20/25] Current/Best: 13.53/ 20.15 GFLOPS | Progress: (8/20) | 18.20 s
[Task 20/25] Current/Best: 17.00/ 20.15 GFLOPS | Progress: (12/20) | 29.65 s Done.
-
[Task 20/25] Current/Best: 9.13/ 20.15 GFLOPS | Progress: (16/20) | 36.83 s
[Task 20/25] Current/Best: 14.88/ 20.15 GFLOPS | Progress: (20/20) | 39.04 s Done.
-
[Task 21/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 21/25] Current/Best: 7.42/ 18.72 GFLOPS | Progress: (4/20) | 8.67 s
[Task 21/25] Current/Best: 9.80/ 18.72 GFLOPS | Progress: (8/20) | 12.06 s
[Task 21/25] Current/Best: 7.38/ 21.08 GFLOPS | Progress: (12/20) | 23.21 s
[Task 21/25] Current/Best: 3.13/ 21.08 GFLOPS | Progress: (16/20) | 35.95 s
[Task 21/25] Current/Best: 20.24/ 23.03 GFLOPS | Progress: (20/20) | 38.54 s
[Task 22/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 22/25] Current/Best: 17.83/ 21.16 GFLOPS | Progress: (4/20) | 4.00 s
[Task 22/25] Current/Best: 15.89/ 21.16 GFLOPS | Progress: (8/20) | 6.16 s
[Task 22/25] Current/Best: 18.48/ 21.16 GFLOPS | Progress: (12/20) | 7.99 s
[Task 22/25] Current/Best: 6.29/ 21.16 GFLOPS | Progress: (16/20) | 10.77 s
[Task 22/25] Current/Best: 21.62/ 21.62 GFLOPS | Progress: (20/20
) | 13.77 s Done.
-
[Task 23/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 23/25] Current/Best: 2.70/ 19.80 GFLOPS | Progress: (4/20) | 6.65 s
[Task 23/25] Current/Best: 12.38/ 22.60 GFLOPS | Progress: (8/20) | 11.41 s
[Task 23/25] Current/Best: 19.61/ 22.60 GFLOPS | Progress: (12/20) | 14.26 s
[Task 23/25] Current/Best: 5.82/ 22.60 GFLOPS | Progress: (16/20) | 23.34 s
[Task 23/25] Current/Best: 9.95/ 23.26 GFLOPS | Progress: (20/20) | 27.35 s Done.
-
[Task 24/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 24/25] Current/Best: 5.72/ 5.72 GFLOPS | Progress: (4/20) | 8.27 s
[Task 24/25] Current/Best: 3.35/ 8.93 GFLOPS | Progress: (8/20) | 18.96 s
[Task 24/25] Current/Best: 2.19/ 8.93 GFLOPS | Progress: (12/20) | 24.55 s
[Task 24/25] Current/Best: 3.83/ 8.93 GFLOPS | Progress: (16/20) | 28.00 s
[Task 24/25] Current/Best: 0.62/ 8.93 GFLOPS | Progress: (20/20) | 38.46 s
[Task 25/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 25/25] Current/Best: 4.25/ 8.81 GFLOPS | Progress: (4/20) | 6.10 s
[Task 25/25] Current/Best: 5.84/ 9.77 GFLOPS | Progress: (8/20) | 9.23 s Done.
+
[Task 1/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 1/25] Current/Best: 12.92/ 12.92 GFLOPS | Progress: (4/20) | 8.13 s
[Task 1/25] Current/Best: 12.08/ 17.91 GFLOPS | Progress: (8/20) | 11.75 s
[Task 1/25] Current/Best: 12.65/ 21.32 GFLOPS | Progress: (12/20) | 14.80 s
[Task 1/25] Current/Best: 12.02/ 21.32 GFLOPS | Progress: (16/20) | 17.83 s
[Task 1/25] Current/Best: 6.11/ 21.32 GFLOPS | Progress: (20/20) | 20.59 s Done.
+
[Task 2/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 2/25] Current/Best: 13.84/ 14.21 GFLOPS | Progress: (4/20) | 4.36 s
[Task 2/25] Current/Best: 13.83/ 14.21 GFLOPS | Progress: (8/20) | 6.45 s
[Task 2/25] Current/Best: 15.42/ 17.92 GFLOPS | Progress: (12/20) | 7.90 s
[Task 2/25] Current/Best: 13.09/ 17.92 GFLOPS | Progress: (16/20) | 9.38 s
[Task 2/25] Current/Best: 14.36/ 17.92 GFLOPS | Progress: (20/20) | 11.17 s Done.
+
[Task 3/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 3/25] Current/Best: 3.12/ 19.50 GFLOPS | Progress: (4/20) | 5.95 s
[Task 3/25] Current/Best: 11.43/ 22.73 GFLOPS | Progress: (8/20) | 8.51 s
[Task 3/25] Current/Best: 10.21/ 24.07 GFLOPS | Progress: (12/20) | 10.96 s
[Task 3/25] Current/Best: 20.36/ 24.07 GFLOPS | Progress: (16/20) | 13.35 s
[Task 3/25] Current/Best: 13.95/ 24.07 GFLOPS | Progress: (20/20) | 17.09 s Done.
+
[Task 4/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 4/25] Current/Best: 6.75/ 14.92 GFLOPS | Progress: (4/20) | 4.24 s
[Task 4/25] Current/Best: 12.91/ 18.30 GFLOPS | Progress: (8/20) | 6.73 s
[Task 4/25] Current/Best: 10.00/ 18.32 GFLOPS | Progress: (12/20) | 9.42 s
[Task 4/25] Current/Best: 13.03/ 18.32 GFLOPS | Progress: (16/20) | 11.28 s
[Task 4/25] Current/Best: 10.16/ 18.32 GFLOPS | Progress: (20/20) | 14.46 s Done.
+
[Task 5/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 5/25] Current/Best: 15.06/ 15.22 GFLOPS | Progress: (4/20) | 4.93 s
[Task 5/25] Current/Best: 14.33/ 17.57 GFLOPS | Progress: (8/20) | 6.89 s
[Task 5/25] Current/Best: 10.66/ 17.57 GFLOPS | Progress: (12/20) | 9.61 s
[Task 5/25] Current/Best: 14.05/ 18.80 GFLOPS | Progress: (16/20) | 11.80 s
[Task 5/25] Current/Best: 4.04/ 20.68 GFLOPS | Progress: (20/20) | 14.03 s Done.
+
[Task 6/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 6/25] Current/Best: 18.11/ 18.11 GFLOPS | Progress: (4/20) | 4.72 s
[Task 6/25] Current/Best: 7.61/ 18.11 GFLOPS | Progress: (8/20) | 7.26 s
[Task 6/25] Current/Best: 8.48/ 21.08 GFLOPS | Progress: (12/20) | 9.21 s
[Task 6/25] Current/Best: 5.32/ 21.08 GFLOPS | Progress: (16/20) | 12.40 s
[Task 6/25] Current/Best: 15.37/ 21.08 GFLOPS | Progress: (20/20) | 14.85 s Done.
+
[Task 7/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 7/25] Current/Best: 12.12/ 22.46 GFLOPS | Progress: (4/20) | 4.61 s
[Task 7/25] Current/Best: 18.52/ 22.46 GFLOPS | Progress: (8/20) | 6.82 s
[Task 7/25] Current/Best: 20.97/ 22.46 GFLOPS | Progress: (12/20) | 9.13 s
[Task 7/25] Current/Best: 11.81/ 22.46 GFLOPS | Progress: (16/20) | 11.65 s
[Task 7/25] Current/Best: 18.79/ 22.46 GFLOPS | Progress: (20/20) | 14.09 s Done.
+
[Task 8/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 8/25] Current/Best: 12.06/ 14.32 GFLOPS | Progress: (4/20) | 6.26 s
[Task 8/25] Current/Best: 7.78/ 14.32 GFLOPS | Progress: (8/20) | 9.13 s
[Task 8/25] Current/Best: 5.32/ 14.32 GFLOPS | Progress: (12/20) | 12.41 s
[Task 8/25] Current/Best: 14.34/ 18.79 GFLOPS | Progress: (16/20) | 17.05 s
[Task 8/25] Current/Best: 16.84/ 18.79 GFLOPS | Progress: (20/20) | 19.77 s Done.
+
[Task 9/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 9/25] Current/Best: 6.45/ 19.54 GFLOPS | Progress: (4/20) | 4.24 s
[Task 9/25] Current/Best: 22.22/ 22.22 GFLOPS | Progress: (8/20) | 7.27 s
[Task 9/25] Current/Best: 12.37/ 22.22 GFLOPS | Progress: (12/20) | 12.81 s
[Task 9/25] Current/Best: 15.51/ 22.22 GFLOPS | Progress: (16/20) | 23.95 s
[Task 9/25] Current/Best: 15.65/ 22.22 GFLOPS | Progress: (20/20) | 35.03 s
[Task 10/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 10/25] Current/Best: 4.74/ 18.58 GFLOPS | Progress: (4/20) | 5.15 s
[Task 10/25] Current/Best: 8.54/ 18.58 GFLOPS | Progress: (8/20) | 7.10 s
[Task 10/25] Current/Best: 5.31/ 18.58 GFLOPS | Progress: (12/20) | 9.38 s
[Task 10/25] Current/Best: 12.18/ 18.58 GFLOPS | Progress: (16/20) | 11.42 s
[Task 10/25] Current/Best: 18.09/ 18.58 GFLOPS | Progress: (20/20)
| 13.04 s Done.
+
[Task 11/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 11/25] Current/Best: 20.16/ 20.20 GFLOPS | Progress: (4/20) | 4.49 s
[Task 11/25] Current/Best: 10.13/ 24.27 GFLOPS | Progress: (8/20) | 7.21 s
[Task 11/25] Current/Best: 9.71/ 24.27 GFLOPS | Progress: (12/20) | 9.42 s
[Task 11/25] Current/Best: 10.96/ 24.27 GFLOPS | Progress: (16/20) | 11.89 s
[Task 11/25] Current/Best: 11.44/ 24.27 GFLOPS | Progress: (20/20) | 14.92 s Done.
+
[Task 12/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 12/25] Current/Best: 17.88/ 17.88 GFLOPS | Progress: (4/20) | 11.31 s
[Task 12/25] Current/Best: 12.80/ 17.88 GFLOPS | Progress: (8/20) | 15.22 s
[Task 12/25] Current/Best: 13.98/ 17.88 GFLOPS | Progress: (12/20) | 17.44 s
[Task 12/25] Current/Best: 10.15/ 18.75 GFLOPS | Progress: (16/20) | 19.67 s
[Task 12/25] Current/Best: 12.31/ 18.75 GFLOPS | Progress: (20/20) | 21.78 s Done.
+
[Task 13/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 13/25] Current/Best: 12.24/ 17.96 GFLOPS | Progress: (4/20) | 6.11 s
[Task 13/25] Current/Best: 8.45/ 17.96 GFLOPS | Progress: (8/20) | 10.10 s
[Task 13/25] Current/Best: 17.80/ 17.96 GFLOPS | Progress: (12/20) | 12.53 s
[Task 13/25] Current/Best: 12.18/ 17.96 GFLOPS | Progress: (16/20) | 16.04 s
[Task 13/25] Current/Best: 7.98/ 19.33 GFLOPS | Progress: (20/20) | 19.24 s Done.
+
[Task 14/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 14/25] Current/Best: 2.85/ 13.61 GFLOPS | Progress: (4/20) | 14.55 s
[Task 14/25] Current/Best: 11.16/ 15.11 GFLOPS | Progress: (8/20) | 26.04 s Done.
+
[Task 14/25] Current/Best: 14.04/ 18.31 GFLOPS | Progress: (12/20) | 29.36 s
[Task 14/25] Current/Best: 8.28/ 18.31 GFLOPS | Progress: (16/20) | 33.86 s
[Task 14/25] Current/Best: 16.39/ 18.31 GFLOPS | Progress: (20/20) | 39.82 s Done.
+
[Task 15/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 15/25] Current/Best: 6.51/ 18.32 GFLOPS | Progress: (4/20) | 4.44 s
[Task 15/25] Current/Best: 12.74/ 19.40 GFLOPS | Progress: (8/20) | 7.23 s
[Task 15/25] Current/Best: 17.54/ 19.40 GFLOPS | Progress: (12/20) | 15.01 s
[Task 15/25] Current/Best: 12.53/ 19.40 GFLOPS | Progress: (16/20) | 17.90 s
[Task 15/25] Current/Best: 17.44/ 22.33 GFLOPS | Progress: (20/20) | 19.52 s Done.
+
[Task 16/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 16/25] Current/Best: 11.78/ 14.37 GFLOPS | Progress: (4/20) | 5.78 s
[Task 16/25] Current/Best: 20.01/ 20.01 GFLOPS | Progress: (8/20) | 8.10 s
[Task 16/25] Current/Best: 9.19/ 20.01 GFLOPS | Progress: (12/20) | 10.15 s
[Task 16/25] Current/Best: 9.21/ 20.01 GFLOPS | Progress: (16/20) | 12.15 s
[Task 16/25] Current/Best: 13.83/ 21.21 GFLOPS | Progress: (20/20) | 13.86 s Done.
+
[Task 17/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 17/25] Current/Best: 22.53/ 22.53 GFLOPS | Progress: (4/20) | 4.73 s
[Task 17/25] Current/Best: 11.44/ 22.53 GFLOPS | Progress: (8/20) | 7.82 s
[Task 17/25] Current/Best: 12.28/ 22.53 GFLOPS | Progress: (12/20) | 12.24 s
[Task 17/25] Current/Best: 9.55/ 22.53 GFLOPS | Progress: (16/20) | 15.13 s
[Task 17/25] Current/Best: 11.85/ 22.53 GFLOPS | Progress: (20/20) | 18.67 s Done.
+
[Task 18/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 18/25] Current/Best: 10.25/ 14.65 GFLOPS | Progress: (4/20) | 5.66 s
[Task 18/25] Current/Best: 13.93/ 20.41 GFLOPS | Progress: (8/20) | 11.26 s
[Task 18/25] Current/Best: 3.07/ 20.41 GFLOPS | Progress: (12/20) | 14.48 s
[Task 18/25] Current/Best: 9.24/ 20.41 GFLOPS | Progress: (16/20) | 17.38 s
[Task 18/25] Current/Best: 18.73/ 20.41 GFLOPS | Progress: (20/20) | 19.55 s Done.
+
[Task 19/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 19/25] Current/Best: 16.27/ 19.10 GFLOPS | Progress: (4/20) | 5.43 s
[Task 19/25] Current/Best: 10.86/ 19.10 GFLOPS | Progress: (8/20) | 10.17 s
[Task 19/25] Current/Best: 17.88/ 21.37 GFLOPS | Progress: (12/20) | 12.92 s
[Task 19/25] Current/Best: 19.98/ 21.37 GFLOPS | Progress: (16/20) | 16.44 s
[Task 19/25] Current/Best: 12.79/ 21.37 GFLOPS | Progress: (20/20) | 21.22 s Done.
+
[Task 20/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 20/25] Current/Best: 9.51/ 10.31 GFLOPS | Progress: (4/20) | 14.09 s
[Task 20/25] Current/Best: 9.56/ 10.31 GFLOPS | Progress: (8/20) | 22.06 s
[Task 20/25] Current/Best: 6.11/ 18.17 GFLOPS | Progress: (12/20) | 31.33 s
[Task 20/25] Current/Best: 5.31/ 18.17 GFLOPS | Progress: (16/20) | 35.41 s
[Task 20/25] Current/Best: 11.13/ 18.17 GFLOPS | Progress: (20/20) | 47.58 s
[Task 21/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 21/25] Current/Best: 1.61/ 13.52 GFLOPS | Progress: (4/20) | 6.18 s
[Task 21/25] Current/Best: 11.01/ 22.06 GFLOPS | Progress: (8/20) | 10.55 s
[Task 21/25] Current/Best: 16.56/ 22.06 GFLOPS | Progress: (12/20) | 21.70 s
[Task 21/25] Current/Best: 5.32/ 22.06 GFLOPS | Progress: (16/20) | 24.68 s
[Task 21/25] Current/Best: 19.40/ 22.06 GFLOPS | Progress: (20
/20) | 35.07 s
[Task 22/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 22/25] Current/Best: 16.06/ 18.12 GFLOPS | Progress: (4/20) | 5.56 s
[Task 22/25] Current/Best: 9.60/ 18.27 GFLOPS | Progress: (8/20) | 9.11 s
[Task 22/25] Current/Best: 6.79/ 19.53 GFLOPS | Progress: (12/20) | 14.21 s
[Task 22/25] Current/Best: 5.33/ 19.53 GFLOPS | Progress: (16/20) | 16.04 s
[Task 22/25] Current/Best: 17.72/ 19.53 GFLOPS | Progress: (20/20) | 17.86 s Done.
+
[Task 23/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 23/25] Current/Best: 9.87/ 10.62 GFLOPS | Progress: (4/20) | 9.04 s
[Task 23/25] Current/Best: 18.98/ 19.93 GFLOPS | Progress: (8/20) | 11.21 s
[Task 23/25] Current/Best: 21.49/ 21.49 GFLOPS | Progress: (12/20) | 13.63 s
[Task 23/25] Current/Best: 10.45/ 21.49 GFLOPS | Progress: (16/20) | 18.79 s
[Task 23/25] Current/Best: 5.35/ 22.87 GFLOPS | Progress: (20/20) | 21.11 s Done.
+
[Task 24/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 24/25] Current/Best: 9.42/ 9.42 GFLOPS | Progress: (4/20) | 13.11 s Done.
Done.
-
[Task 25/25] Current/Best: 9.29/ 9.77 GFLOPS | Progress: (12/20) | 20.18 s
[Task 25/25] Current/Best: 8.50/ 9.77 GFLOPS | Progress: (16/20) | 22.66 s
[Task 25/25] Current/Best: 9.21/ 9.77 GFLOPS | Progress: (20/20) | 24.36 s
+
[Task 24/25] Current/Best: 3.30/ 9.42 GFLOPS | Progress: (8/20) | 23.84 s
[Task 24/25] Current/Best: 7.27/ 9.42 GFLOPS | Progress: (12/20) | 34.51 s
[Task 24/25] Current/Best: 3.42/ 9.42 GFLOPS | Progress: (16/20) | 46.84 s
[Task 24/25] Current/Best: 10.32/ 10.32 GFLOPS | Progress: (20/20) | 52.64 s
[Task 25/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
[Task 25/25] Current/Best: 2.72/ 5.76 GFLOPS | Progress: (4/20) | 5.60 s
[Task 25/25] Current/Best: 5.83/ 5.83 GFLOPS | Progress: (8/20) | 7.65 s
[Task 25/25] Current/Best: 7.13/ 9.32 GFLOPS | Progress: (12/20) | 16.38 s
[Task 25/25] Current/Best: 3.03/ 9.32 GFLOPS | Progress: (16/20) | 27.34 s
[Task 25/25] Current/Best: 4.04/ 9.32 GFLOPS | Progress: (20/20) | 30.38 s
@@ -675,6 +674,7 @@ model using optimized operators to speed up our computations.
.. code-block:: none
Done.
+ Done.
@@ -766,8 +766,8 @@ improvement in comparing the optimized model to the unoptimized model.
.. code-block:: none
- optimized: {'mean': 416.63111999999956, 'median': 417.21355294999967, 'std': 2.3161197086228538}
- unoptimized: {'mean': 494.5829668899989, 'median': 494.5038646499995, 'std': 1.1535267186212477}
+ optimized: {'mean': 407.5326616300026, 'median': 407.1109403000264, 'std': 2.6347951910003453}
+ unoptimized: {'mean': 497.74627236000924, 'median': 497.2623973500049, 'std': 2.7403150565333325}
@@ -790,7 +790,7 @@ profiling/benchmarking.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 13 minutes 47.576 seconds)
+ **Total running time of the script:** ( 13 minutes 37.250 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 13dca4c170..4f591f8f3e 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
- 1.221e-07 secs/op
+ 1.296e-07 secs/op
diff --git a/docs/_sources/tutorial/intro_topi.rst.txt b/docs/_sources/tutorial/intro_topi.rst.txt
index 2cb41a03e6..013a4b0021 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, 0x29248ca0)), stage(b, placeholder(b, 0x49e1f50)), 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, 0x1c13cdb0)), stage(b, placeholder(b, 0x7454100)), 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 030296d5cc..712511d51b 100644
--- a/docs/_sources/tutorial/sg_execution_times.rst.txt
+++ b/docs/_sources/tutorial/sg_execution_times.rst.txt
@@ -5,24 +5,24 @@
Computation times
=================
-**17:24.635** total execution time for **tutorial** files:
+**17:02.704** total execution time for **tutorial** files:
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_autotvm_relay_x86.py` (``autotvm_relay_x86.py``) | 13:47.576 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_autotvm_relay_x86.py` (``autotvm_relay_x86.py``) | 13:37.250 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_auto_scheduler_matmul_x86.py` (``auto_scheduler_matmul_x86.py``) | 01:20.766 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_auto_scheduler_matmul_x86.py` (``auto_scheduler_matmul_x86.py``) | 01:24.345 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_tensor_expr_get_started.py` (``tensor_expr_get_started.py``) | 00:59.459 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_tensor_expr_get_started.py` (``tensor_expr_get_started.py``) | 00:58.747 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_relay_quick_start.py` (``relay_quick_start.py``) | 00:42.796 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_relay_quick_start.py` (``relay_quick_start.py``) | 00:41.893 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_autotvm_matmul_x86.py` (``autotvm_matmul_x86.py``) | 00:30.599 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_autotvm_matmul_x86.py` (``autotvm_matmul_x86.py``) | 00:18.455 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_tensor_ir_blitz_course.py` (``tensor_ir_blitz_course.py``) | 00:02.261 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_intro_topi.py` (``intro_topi.py``) | 00:00.953 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_intro_topi.py` (``intro_topi.py``) | 00:00.961 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_tensor_ir_blitz_course.py` (``tensor_ir_blitz_course.py``) | 00:00.859 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_cross_compilation_and_rpc.py` (``cross_compilation_and_rpc.py``) | 00:00.216 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_cross_compilation_and_rpc.py` (``cross_compilation_and_rpc.py``) | 00:00.201 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_tutorial_uma.py` (``uma.py``) | 00:00.000 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/docs/_sources/tutorial/tensor_expr_get_started.rst.txt b/docs/_sources/tutorial/tensor_expr_get_started.rst.txt
index 5ca00b3360..14f13af84c 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: 0.000007
- naive: 0.000007
+ Numpy running time: 0.000008
+ naive: 0.000006
@@ -389,7 +389,7 @@ compile and run this new schedule with the parallel operation applied:
.. code-block:: none
- parallel: 0.000008
+ parallel: 0.000007
@@ -444,7 +444,7 @@ factor to be the number of threads on your CPU.
.. code-block:: none
- vector: 0.000040
+ vector: 0.000039
# from tvm.script import ir as I
# from tvm.script import tir as T
@@ -498,10 +498,10 @@ We can now compare the different schedules
.. code-block:: none
Operator Timing Performance
- numpy 6.675470001482609e-06 1.0
- naive 6.9617e-06 1.0428778795281561
- parallel 8.3246e-06 1.2470432790726529
- vector 3.96798e-05 5.94412078717861
+ numpy 7.623890005561407e-06 1.0
+ naive 5.831999999999999e-06 0.7649638171256045
+ parallel 7.2556000000000005e-06 0.9516926391523554
+ vector 3.9368599999999994e-05 5.163846798849635
@@ -922,7 +922,7 @@ matrix multiplication.
.. code-block:: none
- Numpy running time: 0.018962
+ Numpy running time: 0.019181
@@ -980,7 +980,7 @@ optimizations.
.. code-block:: none
- none: 3.342843
+ none: 3.278328
@@ -1080,7 +1080,7 @@ schedule.
.. code-block:: none
- blocking: 0.297030
+ blocking: 0.304470
@@ -1164,7 +1164,7 @@ already cache friendly from our previous optimizations.
.. code-block:: none
- vectorization: 0.277442
+ vectorization: 0.275954
# 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: 0.118262
+ loop permutation: 0.114093
# 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: 0.107169
+ array packing: 0.106149
# 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: 0.111757
+ block caching: 0.115710
# 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: 0.132057
+ parallelization: 0.136819
# 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 3.3428433187000004 1.0
- blocking 0.29703004439999997 0.08885550894306112
- vectorization 0.2774424416 0.08299594541209149
- loop permutation 0.118261774 0.03537760006232983
- array packing 0.1071693597 0.032059342745886496
- block caching 0.1117568229 0.03343166647231948
- parallelization 0.1320571586 0.03950444158159221
+ none 3.2783281563999997 1.0
+ blocking 0.3044700481 0.09287357261828995
+ vectorization 0.27595422680000004 0.08417529107367674
+ loop permutation 0.1140926551 0.03480208498263564
+ array packing 0.10614854299999998 0.03237886445039837
+ block caching 0.1157099015 0.035295399355952044
+ parallelization 0.1368193044 0.04173447497405023
diff --git a/docs/commit_hash b/docs/commit_hash
index 7f6a7cb8e6..667e6105f0 100644
--- a/docs/commit_hash
+++ b/docs/commit_hash
@@ -1 +1 @@
-7eb45ee5db25fd6ef8db0e456e01d44c9856e655
+a86e41bcd27085514d911f1e03d8d8a1db1eef24
diff --git a/docs/how_to/compile_models/from_darknet.html b/docs/how_to/compile_models/from_darknet.html
index 60dcc86250..2cecd0d559 100644
--- a/docs/how_to/compile_models/from_darknet.html
+++ b/docs/how_to/compile_models/from_darknet.html
@@ -605,7 +605,7 @@ class:['truck 0.9266'] left:471 top:83 right:689 bottom:169
class:['bicycle 0.9984'] left:111 top:113 right:577 bottom:447
</pre></div>
</div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 36.154 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 33.008 seconds)</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-compile-models-from-darknet-py">
<div class="sphx-glr-download sphx-glr-download-python docutils container">
<p><a class="reference download internal" download="" href="../../_downloads/7716f96385bd5abb6e822041e285be54/from_darknet.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">from_darknet.py</span></code></a></p>
diff --git a/docs/how_to/compile_models/from_mxnet.html b/docs/how_to/compile_models/from_mxnet.html
index 097b93df02..154bc1bc88 100644
--- a/docs/how_to/compile_models/from_mxnet.html
+++ b/docs/how_to/compile_models/from_mxnet.html
@@ -459,7 +459,7 @@
<span class="nb">print</span><span class="p">(</span><span class="s2">"x"</span><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">x</span><span class="o">.</span><span class="n">shape</span></a><span class="p">)</span>
</pre></div>
</div>
-<img src="../../_images/sphx_glr_from_mxnet_001.png" srcset="../../_images/sphx_glr_from_mxnet_001.png" alt="from mxnet" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Downloading /workspace/.mxnet/models/resnet18_v1-a0666292.zipa2a966e0-0f31-4481-8669-929012900653 from https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/models/resnet18_v1-a0666292.zip...
+<img src="../../_images/sphx_glr_from_mxnet_001.png" srcset="../../_images/sphx_glr_from_mxnet_001.png" alt="from mxnet" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Downloading /workspace/.mxnet/models/resnet18_v1-a0666292.zip8437145b-5f33-415a-951f-893a6b4874ef from https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/models/resnet18_v1-a0666292.zip...
x (1, 3, 224, 224)
</pre></div>
</div>
diff --git a/docs/how_to/compile_models/from_oneflow.html b/docs/how_to/compile_models/from_oneflow.html
index 031c44880a..94ea363b46 100644
--- a/docs/how_to/compile_models/from_oneflow.html
+++ b/docs/how_to/compile_models/from_oneflow.html
@@ -469,13 +469,13 @@ Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdo
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Downloading: "https://oneflow-public.oss-cn-beijing.aliyuncs.com/model_zoo/flowvision/classification/ResNet/resnet18.zip" to /workspace/.oneflow/flowvision_cache/resnet18.zip
0%| | 0.00/41.5M [00:00<?, ?B/s]
- 15%|#5 | 6.33M/41.5M [00:00<00:00, 61.9MB/s]
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- 43%|####2 | 17.7M/41.5M [00:00<00:00, 42.6MB/s]
- 58%|#####7 | 24.0M/41.5M [00:00<00:00, 33.1MB/s]
- 77%|#######7 | 32.0M/41.5M [00:00<00:00, 39.9MB/s]
- 92%|#########2| 38.3M/41.5M [00:00<00:00, 39.5MB/s]
-100%|##########| 41.5M/41.5M [00:01<00:00, 40.9MB/s]
+ 19%|#9 | 7.99M/41.5M [00:00<00:00, 58.2MB/s]
+ 35%|###4 | 14.3M/41.5M [00:00<00:00, 54.8MB/s]
+ 47%|####7 | 19.5M/41.5M [00:00<00:00, 48.0MB/s]
+ 58%|#####8 | 24.1M/41.5M [00:00<00:00, 40.5MB/s]
+ 77%|#######7 | 32.0M/41.5M [00:00<00:00, 50.7MB/s]
+ 93%|#########2| 38.4M/41.5M [00:00<00:00, 55.3MB/s]
+100%|##########| 41.5M/41.5M [00:00<00:00, 50.9MB/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 eac784a510..de428f8f84 100644
--- a/docs/how_to/compile_models/from_paddle.html
+++ b/docs/how_to/compile_models/from_paddle.html
@@ -504,7 +504,7 @@ 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 3.243 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 2.751 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 a1d115e726..a7678aedcc 100644
--- a/docs/how_to/compile_models/from_pytorch.html
+++ b/docs/how_to/compile_models/from_pytorch.html
@@ -452,14 +452,12 @@ 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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+ 72%|#######1 | 32.0M/44.7M [00:00<00:00, 56.2MB/s]
+ 90%|########9 | 40.0M/44.7M [00:00<00:00, 48.2MB/s]
+100%|##########| 44.7M/44.7M [00:00<00:00, 47.7MB/s]
</pre></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 0555c20c97..bcdaf4a01e 100644
--- a/docs/how_to/compile_models/from_tensorflow.html
+++ b/docs/how_to/compile_models/from_tensorflow.html
@@ -672,7 +672,7 @@ banana (score = 0.00022)
desk (score = 0.00019)
</pre></div>
</div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 33.263 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 29.981 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 429d2a61a0..e9dbf958fd 100644
--- a/docs/how_to/compile_models/sg_execution_times.html
+++ b/docs/how_to/compile_models/sg_execution_times.html
@@ -360,7 +360,7 @@
<div class="section" id="computation-times">
<span id="sphx-glr-how-to-compile-models-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>07:23.348</strong> total execution time for <strong>how_to_compile_models</strong> files:</p>
+<p><strong>07:10.195</strong> total execution time for <strong>how_to_compile_models</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 81%" />
@@ -369,43 +369,43 @@
</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>01:36.154</p></td>
+<td><p>01:33.008</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>01:33.263</p></td>
+<td><p>01:29.981</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="from_paddle.html#sphx-glr-how-to-compile-models-from-paddle-py"><span class="std std-ref">Compile PaddlePaddle Models</span></a> (<code class="docutils literal notranslate"><span class="pre">from_paddle.py</span></code>)</p></td>
-<td><p>01:03.243</p></td>
+<td><p>01:02.751</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>00:44.596</p></td>
+<td><p>00:43.332</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>00:39.001</p></td>
+<td><p>00:37.826</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="from_mxnet.html#sphx-glr-how-to-compile-models-from-mxnet-py"><span class="std std-ref">Compile MXNet Models</span></a> (<code class="docutils literal notranslate"><span class="pre">from_mxnet.py</span></code>)</p></td>
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+<td><p>00:34.302</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>00:30.765</p></td>
+<td><p>00:28.698</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="from_keras.html#sphx-glr-how-to-compile-models-from-keras-py"><span class="std std-ref">Compile Keras Models</span></a> (<code class="docutils literal notranslate"><span class="pre">from_keras.py</span></code>)</p></td>
-<td><p>00:26.612</p></td>
+<td><p>00:26.161</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="from_tflite.html#sphx-glr-how-to-compile-models-from-tflite-py"><span class="std std-ref">Compile TFLite Models</span></a> (<code class="docutils literal notranslate"><span class="pre">from_tflite.py</span></code>)</p></td>
-<td><p>00:11.832</p></td>
+<td><p>00:11.236</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="from_onnx.html#sphx-glr-how-to-compile-models-from-onnx-py"><span class="std std-ref">Compile ONNX Models</span></a> (<code class="docutils literal notranslate"><span class="pre">from_onnx.py</span></code>)</p></td>
-<td><p>00:02.967</p></td>
+<td><p>00:02.900</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 1fc9c23874..41143b0e51 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)
- 4124.9812 4125.0363 4130.5484 4120.7268 2.4942
+ 4123.6688 4121.3606 4143.2259 4118.3797 6.9770
</pre></div>
</div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 19.947 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 19.332 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 0c6c1c581f..db78266725 100644
--- a/docs/how_to/deploy_models/deploy_model_on_adreno_tvmc.html
+++ b/docs/how_to/deploy_models/deploy_model_on_adreno_tvmc.html
@@ -458,23 +458,29 @@ to run this tutorial with a real device over rpc.</p>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/resnet/resnet50_weights_tf_dim_ordering_tf_kernels.h5
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+102850560/102967424 [============================>.] - ETA: 0s
+102967424/102967424 [==============================] - 2s 0us/step
</pre></div>
</div>
</div>
diff --git a/docs/how_to/deploy_models/deploy_model_on_android.html b/docs/how_to/deploy_models/deploy_model_on_android.html
index 90738cc7b4..cb74e505d8 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)
- 16.6370 16.6060 17.3559 15.9961 0.3836
+ 16.1105 16.0713 16.8110 15.6644 0.3204
</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 f8fe4a1b5c..628bcdf43f 100644
--- a/docs/how_to/deploy_models/deploy_object_detection_pytorch.html
+++ b/docs/how_to/deploy_models/deploy_object_detection_pytorch.html
@@ -474,34 +474,35 @@ 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).
@@ -592,7 +593,7 @@ 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 40.402 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes 36.275 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 6a107b1f59..54a58b6c13 100644
--- a/docs/how_to/deploy_models/deploy_prequantized.html
+++ b/docs/how_to/deploy_models/deploy_prequantized.html
@@ -515,8 +515,8 @@ training. Other models require a full post training calibration.</p>
Downloading: "https://download.pytorch.org/models/mobilenet_v2-b0353104.pth" to /workspace/.cache/torch/hub/checkpoints/mobilenet_v2-b0353104.pth
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</pre></div>
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@@ -607,7 +607,7 @@ output values are identical out of 1000 outputs from mobilenet v2.</p>
</div>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 88.9559 88.8992 90.8592 88.7334 0.2551
+ 89.1965 89.1515 91.5704 88.7013 0.3616
</pre></div>
</div>
<div class="admonition note">
@@ -646,7 +646,7 @@ This includes support for the VNNI 8 bit dot product instruction (CascadeLake or
<div class="section" id="deploy-a-quantized-tflite-model">
<h2>Deploy a quantized TFLite Model<a class="headerlink" href="#deploy-a-quantized-tflite-model" title="Permalink to this headline">¶</a></h2>
<p>TODO</p>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 30.191 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 28.016 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 b0114080f3..f492d4c4b1 100644
--- a/docs/how_to/deploy_models/deploy_prequantized_tflite.html
+++ b/docs/how_to/deploy_models/deploy_prequantized_tflite.html
@@ -600,7 +600,7 @@ TFLite Top-5 labels: [387 102 386 341 349]
</div>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 109.4565 109.4101 110.4368 109.0710 0.2541
+ 109.8273 109.7246 120.4075 108.9207 1.1114
</pre></div>
</div>
<div class="admonition note">
diff --git a/docs/how_to/deploy_models/deploy_quantized.html b/docs/how_to/deploy_models/deploy_quantized.html
index 49682e7485..5a21e19614 100644
--- a/docs/how_to/deploy_models/deploy_quantized.html
+++ b/docs/how_to/deploy_models/deploy_quantized.html
@@ -541,7 +541,7 @@ for calibration. But the accuracy might be impacted.</p>
warnings.warn(
</pre></div>
</div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 54.575 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 48.531 seconds)</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-deploy-models-deploy-quantized-py">
<div class="sphx-glr-download sphx-glr-download-python docutils container">
<p><a class="reference download internal" download="" href="../../_downloads/7810ecf51bfc05f7d5e8a400ac3e815d/deploy_quantized.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">deploy_quantized.py</span></code></a></p>
diff --git a/docs/how_to/deploy_models/sg_execution_times.html b/docs/how_to/deploy_models/sg_execution_times.html
index 0f5788b7d1..5141cf16be 100644
--- a/docs/how_to/deploy_models/sg_execution_times.html
+++ b/docs/how_to/deploy_models/sg_execution_times.html
@@ -360,7 +360,7 @@
<div class="section" id="computation-times">
<span id="sphx-glr-how-to-deploy-models-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>11:58.974</strong> total execution time for <strong>how_to_deploy_models</strong> files:</p>
+<p><strong>11:40.643</strong> total execution time for <strong>how_to_deploy_models</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 86%" />
@@ -369,39 +369,39 @@
</colgroup>
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="deploy_object_detection_pytorch.html#sphx-glr-how-to-deploy-models-deploy-object-detection-pytorch-py"><span class="std std-ref">Compile PyTorch Object Detection Models</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_object_detection_pytorch.py</span></code>)</p></td>
-<td><p>03:40.402</p></td>
+<td><p>03:36.275</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="deploy_quantized.html#sphx-glr-how-to-deploy-models-deploy-quantized-py"><span class="std std-ref">Deploy a Quantized Model on Cuda</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_quantized.py</span></code>)</p></td>
-<td><p>01:54.575</p></td>
+<td><p>01:48.531</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="deploy_prequantized.html#sphx-glr-how-to-deploy-models-deploy-prequantized-py"><span class="std std-ref">Deploy a Framework-prequantized Model with TVM</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_prequantized.py</span></code>)</p></td>
-<td><p>01:30.191</p></td>
+<td><p>01:28.016</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="deploy_model_on_adreno.html#sphx-glr-how-to-deploy-models-deploy-model-on-adreno-py"><span class="std std-ref">Deploy the Pretrained Model on Adreno™</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_model_on_adreno.py</span></code>)</p></td>
-<td><p>01:19.947</p></td>
+<td><p>01:19.332</p></td>
<td><p>0.0 MB</p></td>
</tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="deploy_model_on_android.html#sphx-glr-how-to-deploy-models-deploy-model-on-android-py"><span class="std std-ref">Deploy the Pretrained Model on Android</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_model_on_android.py</span></code>)</p></td>
-<td><p>00:52.204</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="deploy_prequantized_tflite.html#sphx-glr-how-to-deploy-models-deploy-prequantized-tflite-py"><span class="std std-ref">Deploy a Framework-prequantized Model with TVM - Part 3 (TFLite)</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_prequantized_tflite.py</span></code>)</p></td>
+<td><p>00:51.281</p></td>
<td><p>0.0 MB</p></td>
</tr>
-<tr class="row-even"><td><p><a class="reference internal" href="deploy_prequantized_tflite.html#sphx-glr-how-to-deploy-models-deploy-prequantized-tflite-py"><span class="std std-ref">Deploy a Framework-prequantized Model with TVM - Part 3 (TFLite)</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_prequantized_tflite.py</span></code>)</p></td>
-<td><p>00:52.086</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="deploy_model_on_android.html#sphx-glr-how-to-deploy-models-deploy-model-on-android-py"><span class="std std-ref">Deploy the Pretrained Model on Android</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_model_on_android.py</span></code>)</p></td>
+<td><p>00:50.132</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="deploy_model_on_adreno_tvmc.html#sphx-glr-how-to-deploy-models-deploy-model-on-adreno-tvmc-py"><span class="std std-ref">Deploy the Pretrained Model on Adreno™ with tvmc Interface</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_model_on_adreno_tvmc.py</span></code>)</p></td>
-<td><p>00:47.382</p></td>
+<td><p>00:46.446</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="deploy_model_on_nano.html#sphx-glr-how-to-deploy-models-deploy-model-on-nano-py"><span class="std std-ref">Deploy the Pretrained Model on Jetson Nano</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_model_on_nano.py</span></code>)</p></td>
-<td><p>00:31.354</p></td>
+<td><p>00:30.422</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="deploy_model_on_rasp.html#sphx-glr-how-to-deploy-models-deploy-model-on-rasp-py"><span class="std std-ref">Deploy the Pretrained Model on Raspberry Pi</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_model_on_rasp.py</span></code>)</p></td>
-<td><p>00:30.828</p></td>
+<td><p>00:30.202</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="deploy_sparse.html#sphx-glr-how-to-deploy-models-deploy-sparse-py"><span class="std std-ref">Deploy a Hugging Face Pruned Model on CPU</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_sparse.py</span></code>)</p></td>
diff --git a/docs/how_to/extend_tvm/bring_your_own_datatypes.html b/docs/how_to/extend_tvm/bring_your_own_datatypes.html
index c5de7e89df..f972a88167 100644
--- a/docs/how_to/extend_tvm/bring_your_own_datatypes.html
+++ b/docs/how_to/extend_tvm/bring_your_own_datatypes.html
@@ -639,7 +639,7 @@ In this alpha state of the Bring Your Own Datatypes framework, we have not imple
<span class="n">module</span><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#dict" title="builtins.dict" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">params</span></a> <span class="o">=</span> <span class="n">get_mobilenet</span><span class="p">()</span>
</pre></div>
</div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Downloading /workspace/.mxnet/models/mobilenet0.25-9f83e440.zip464252ec-2b4d-479f-a87c-33f34edcd814 from https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/models/mobilenet0.25-9f83e440.zip...
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Downloading /workspace/.mxnet/models/mobilenet0.25-9f83e440.zip55edd3f0-3000-43fb-a3aa-64c1eabb619e from https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/models/mobilenet0.25-9f83e440.zip...
</pre></div>
</div>
<p>It’s easy to execute MobileNet with native TVM:</p>
diff --git a/docs/how_to/extend_tvm/sg_execution_times.html b/docs/how_to/extend_tvm/sg_execution_times.html
index b2dfd6ba20..2cf0f20fdd 100644
--- a/docs/how_to/extend_tvm/sg_execution_times.html
+++ b/docs/how_to/extend_tvm/sg_execution_times.html
@@ -360,7 +360,7 @@
<div class="section" id="computation-times">
<span id="sphx-glr-how-to-extend-tvm-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>00:59.240</strong> total execution time for <strong>how_to_extend_tvm</strong> files:</p>
+<p><strong>00:57.232</strong> total execution time for <strong>how_to_extend_tvm</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 84%" />
@@ -369,19 +369,19 @@
</colgroup>
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="bring_your_own_datatypes.html#sphx-glr-how-to-extend-tvm-bring-your-own-datatypes-py"><span class="std std-ref">Bring Your Own Datatypes to TVM</span></a> (<code class="docutils literal notranslate"><span class="pre">bring_your_own_datatypes.py</span></code>)</p></td>
-<td><p>00:55.154</p></td>
+<td><p>00:53.278</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="use_pass_instrument.html#sphx-glr-how-to-extend-tvm-use-pass-instrument-py"><span class="std std-ref">How to Use TVM Pass Instrument</span></a> (<code class="docutils literal notranslate"><span class="pre">use_pass_instrument.py</span></code>)</p></td>
-<td><p>00:02.864</p></td>
+<td><p>00:02.776</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="use_pass_infra.html#sphx-glr-how-to-extend-tvm-use-pass-infra-py"><span class="std std-ref">How to Use TVM Pass Infra</span></a> (<code class="docutils literal notranslate"><span class="pre">use_pass_infra.py</span></code>)</p></td>
-<td><p>00:01.214</p></td>
+<td><p>00:01.170</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="low_level_custom_pass.html#sphx-glr-how-to-extend-tvm-low-level-custom-pass-py"><span class="std std-ref">Writing a Customized Pass</span></a> (<code class="docutils literal notranslate"><span class="pre">low_level_custom_pass.py</span></code>)</p></td>
-<td><p>00:00.008</p></td>
+<td><p>00:00.007</p></td>
<td><p>0.0 MB</p></td>
</tr>
</tbody>
diff --git a/docs/how_to/extend_tvm/use_pass_instrument.html b/docs/how_to/extend_tvm/use_pass_instrument.html
index 2eebc77cde..a46807b970 100644
--- a/docs/how_to/extend_tvm/use_pass_instrument.html
+++ b/docs/how_to/extend_tvm/use_pass_instrument.html
@@ -546,10 +546,10 @@ profile the execution time of each passes.</p>
</pre></div>
</div>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Printing results of timing profile...
-InferType: 25157us [25157us] (48.39%; 48.39%)
-FoldScaleAxis: 26831us [8us] (51.61%; 51.61%)
- FoldConstant: 26823us [1803us] (51.59%; 99.97%)
- InferType: 25020us [25020us] (48.13%; 93.28%)
+InferType: 25042us [25042us] (48.42%; 48.42%)
+FoldScaleAxis: 26673us [8us] (51.58%; 51.58%)
+ FoldConstant: 26665us [1806us] (51.56%; 99.97%)
+ InferType: 24859us [24859us] (48.07%; 93.23%)
</pre></div>
</div>
</div>
@@ -571,10 +571,10 @@ Refer to following sections and <a class="reference internal" href="../../refere
</pre></div>
</div>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Printing results of timing profile...
-InferType: 24889us [24889us] (48.40%; 48.40%)
-FoldScaleAxis: 26538us [8us] (51.60%; 51.60%)
- FoldConstant: 26531us [1861us] (51.59%; 99.97%)
- InferType: 24669us [24669us] (47.97%; 92.98%)
+InferType: 24708us [24708us] (47.98%; 47.98%)
+FoldScaleAxis: 26792us [7us] (52.02%; 52.02%)
+ FoldConstant: 26785us [1863us] (52.01%; 99.97%)
+ InferType: 24922us [24922us] (48.39%; 93.05%)
</pre></div>
</div>
<p>Register empty list to clear existing instruments.</p>
diff --git a/docs/how_to/optimize_operators/opt_conv_cuda.html b/docs/how_to/optimize_operators/opt_conv_cuda.html
index a00bccdfd2..f3d5e4ff3c 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: 53.559265 ms
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Convolution: 45.397983 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 4bf0a5b420..9ec7ea49de 100644
--- a/docs/how_to/optimize_operators/opt_conv_tensorcore.html
+++ b/docs/how_to/optimize_operators/opt_conv_tensorcore.html
@@ -877,7 +877,7 @@ be able to run on our build server</p>
<span class="nb">print</span><span class="p">(</span><span class="s2">"conv2d with tensor core: </span><span class="si">%f</span><span class="s2"> ms"</span> <span class="o">%</span> <span class="p">(</span><span class="n">evaluator</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">w</span><span class="p">,</span> <span class="n">c</span><span class="p">)</span><span class="o">.</span><span class="n">mean</span> <span class="o">* [...]
</pre></div>
</div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>conv2d with tensor core: 11.852438 ms
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>conv2d with tensor core: 12.273431 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 068fde9ce6..c1c9c555c9 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: 0.019085
-Baseline: 3.436262
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Numpy running time: 0.019778
+Baseline: 3.294138
</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: 0.304993
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt1: 0.300577
</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: 0.292557
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt2: 0.279936
</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: 0.120240
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt3: 0.113987
</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: 0.110445
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt4: 0.111562
</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: 0.112501
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt5: 0.116345
</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: 0.133147
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt6: 0.138273
</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 6571c5f913..f5c6e0626a 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>00:34.495</strong> total execution time for <strong>how_to_optimize_operators</strong> files:</p>
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<table class="docutils align-default">
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<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>
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<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>
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diff --git a/docs/how_to/tune_with_autoscheduler/sg_execution_times.html b/docs/how_to/tune_with_autoscheduler/sg_execution_times.html
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+++ b/docs/how_to/tune_with_autoscheduler/sg_execution_times.html
@@ -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>03:40.612</strong> total execution time for <strong>how_to_tune_with_autoscheduler</strong> files:</p>
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<table class="docutils align-default">
<colgroup>
<col style="width: 85%" />
@@ -369,27 +369,27 @@
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<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>
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<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>
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</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>
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<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>
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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="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>
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</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 f687db0a20..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>
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+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Execution time of this operator: 0.340 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 0a4e0b0ba6..fe9bc92357 100644
--- a/docs/how_to/tune_with_autoscheduler/tune_network_cuda.html
+++ b/docs/how_to/tune_with_autoscheduler/tune_network_cuda.html
@@ -936,7 +936,7 @@ so we can read the log file and load the best schedules.</p>
Evaluate inference time cost...
Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 3.2018 3.2013 3.2029 3.2013 0.0007
+ 3.2300 3.2332 3.2355 3.2212 0.0063
</pre></div>
</div>
</div>
@@ -958,7 +958,7 @@ to learn how to use the RPC Tracker and RPC Server.
To use the RPC Tracker in auto-scheduler, replace the runner in <code class="code docutils literal notranslate"><span class="pre">TuningOptions</span></code>
with <a class="reference internal" href="../../reference/api/python/auto_scheduler.html#tvm.auto_scheduler.RPCRunner" title="tvm.auto_scheduler.RPCRunner"><code class="xref any py py-class docutils literal notranslate"><span class="pre">auto_scheduler.RPCRunner</span></code></a>.</p></li>
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<p><a class="reference download internal" download="" href="../../_downloads/eafe360d52540634c9eea0fa89e804bd/tune_network_cuda.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">tune_network_cuda.py</span></code></a></p>
diff --git a/docs/how_to/tune_with_autoscheduler/tune_network_x86.html b/docs/how_to/tune_with_autoscheduler/tune_network_x86.html
index 4c25d67653..44fb4bb55f 100644
--- a/docs/how_to/tune_with_autoscheduler/tune_network_x86.html
+++ b/docs/how_to/tune_with_autoscheduler/tune_network_x86.html
@@ -955,7 +955,7 @@ so we can read the log file and load the best schedules.</p>
Evaluate inference time cost...
Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 755.0028 755.8018 755.9884 753.2182 1.2642
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</pre></div>
</div>
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@@ -977,7 +977,7 @@ to learn how to use the RPC Tracker and RPC Server.
To use the RPC Tracker in auto-scheduler, replace the runner in <code class="code docutils literal notranslate"><span class="pre">TuningOptions</span></code>
with <a class="reference internal" href="../../reference/api/python/auto_scheduler.html#tvm.auto_scheduler.RPCRunner" title="tvm.auto_scheduler.RPCRunner"><code class="xref any py py-class docutils literal notranslate"><span class="pre">auto_scheduler.RPCRunner</span></code></a>.</p></li>
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diff --git a/docs/how_to/tune_with_autotvm/sg_execution_times.html b/docs/how_to/tune_with_autotvm/sg_execution_times.html
index b1566a082a..2840b0649d 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>00:23.959</strong> total execution time for <strong>how_to_tune_with_autotvm</strong> files:</p>
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<table class="docutils align-default">
<colgroup>
<col style="width: 84%" />
@@ -369,11 +369,11 @@
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<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>
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<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>
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<td><p>0.0 MB</p></td>
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diff --git a/docs/how_to/tune_with_autotvm/tune_conv2d_cuda.html b/docs/how_to/tune_with_autotvm/tune_conv2d_cuda.html
index 629bc842e5..5eb2837e50 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
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</pre></div>
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index fa5fc78377..713fb5ae1f 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)
--------- --- -------- ------- ----- ------ ------- ----------------
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-tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 3.012 0.98 (1, 6, 10, 10) 1 1 [3.012]
-tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.972 0.316 (1, 1, 10, 10, 3) 1 1 [0.972]
-Total_time - 307.183 - - - - -
+tvmgen_default_fused_nn_contrib_conv2d_NCHWc tvmgen_default_fused_nn_contrib_conv2d_NCHWc 301.5 98.717 (1, 2, 10, 10, 3) 2 1 [301.5]
+tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 2.982 0.976 (1, 6, 10, 10) 1 1 [2.982]
+tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.937 0.307 (1, 1, 10, 10, 3) 1 1 [0.937]
+Total_time - 305.419 - - - - -
</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 102.1 97.488 (1, 6, 10, 10, 1) 2 1 [102.1]
-tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 1.77 1.69 (1, 6, 10, 10) 1 1 [1.77]
-tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.861 0.822 (1, 3, 10, 10, 1) 1 1 [0.861]
-Total_time - 104.731 - - - - -
+tvmgen_default_fused_nn_contrib_conv2d_NCHWc tvmgen_default_fused_nn_contrib_conv2d_NCHWc 102.0 97.521 (1, 6, 10, 10, 1) 2 1 [102.0]
+tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 1.752 1.675 (1, 6, 10, 10) 1 1 [1.752]
+tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.841 0.804 (1, 3, 10, 10, 1) 1 1 [0.841]
+Total_time - 104.593 - - - - -
</pre></div>
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<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 e662943785..3808c78549 100644
--- a/docs/how_to/work_with_microtvm/micro_pytorch.html
+++ b/docs/how_to/work_with_microtvm/micro_pytorch.html
@@ -475,7 +475,7 @@ download a cat image and preprocess it to use as the model input.</p>
Downloading: "https://download.pytorch.org/models/quantized/mobilenet_v2_qnnpack_37f702c5.pth" to /workspace/.cache/torch/hub/checkpoints/mobilenet_v2_qnnpack_37f702c5.pth
0%| | 0.00/3.42M [00:00<?, ?B/s]
-100%|##########| 3.42M/3.42M [00:00<00:00, 45.3MB/s]
+100%|##########| 3.42M/3.42M [00:00<00:00, 117MB/s]
/venv/apache-tvm-py3.8/lib/python3.8/site-packages/torch/_utils.py:314: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
device=storage.device,
/workspace/python/tvm/relay/frontend/pytorch_utils.py:47: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.
@@ -603,7 +603,7 @@ via the host <cite>main.cc`</cite> or if a Zephyr emulated board is selected as
Torch top-1 id: 282, class name: tiger cat
</pre></div>
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<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-work-with-microtvm-micro-pytorch-py">
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<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 c6dfe29b73..2f549616ea 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>
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</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/tmprf0spwv5/images/target contains 8144 images
-/tmp/tmprf0spwv5/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/tmpfbpwx3f7/images/target contains 8144 images
+/tmp/tmpfbpwx3f7/images/random contains 5000 images
</pre></div>
</div>
</div>
@@ -716,13 +716,13 @@ the time on our validation set).</p>
</pre></div>
</div>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Epoch 1/3
-328/328 - 40s - loss: 0.2180 - accuracy: 0.9221 - val_loss: 0.1137 - val_accuracy: 0.9611 - 40s/epoch - 121ms/step
+328/328 - 39s - loss: 0.2378 - accuracy: 0.9221 - val_loss: 0.1200 - val_accuracy: 0.9566 - 39s/epoch - 118ms/step
Epoch 2/3
-328/328 - 36s - loss: 0.1010 - accuracy: 0.9647 - val_loss: 0.1113 - val_accuracy: 0.9573 - 36s/epoch - 108ms/step
+328/328 - 35s - loss: 0.1030 - accuracy: 0.9625 - val_loss: 0.1035 - val_accuracy: 0.9630 - 35s/epoch - 106ms/step
Epoch 3/3
-328/328 - 35s - loss: 0.0687 - accuracy: 0.9744 - val_loss: 0.0991 - val_accuracy: 0.9675 - 35s/epoch - 108ms/step
+328/328 - 35s - loss: 0.0686 - accuracy: 0.9731 - val_loss: 0.1257 - val_accuracy: 0.9577 - 35s/epoch - 106ms/step
-<keras.callbacks.History object at 0x7fe2c9798a30>
+<keras.callbacks.History object at 0x7f56e80a9670>
</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 22.679 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 4 minutes 17.930 seconds)</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-work-with-microtvm-micro-train-py">
<div class="sphx-glr-download sphx-glr-download-python docutils container">
<p><a class="reference download internal" download="" href="../../_downloads/b52cec46baf4f78d6bcd94cbe269c8a6/micro_train.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">micro_train.py</span></code></a></p>
diff --git a/docs/how_to/work_with_microtvm/sg_execution_times.html b/docs/how_to/work_with_microtvm/sg_execution_times.html
index 0ec2f4dd0b..29a51e6edf 100644
--- a/docs/how_to/work_with_microtvm/sg_execution_times.html
+++ b/docs/how_to/work_with_microtvm/sg_execution_times.html
@@ -360,7 +360,7 @@
<div class="section" id="computation-times">
<span id="sphx-glr-how-to-work-with-microtvm-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>07:38.800</strong> total execution time for <strong>how_to_work_with_microtvm</strong> files:</p>
+<p><strong>07:27.204</strong> total execution time for <strong>how_to_work_with_microtvm</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 82%" />
@@ -369,27 +369,27 @@
</colgroup>
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="micro_train.html#sphx-glr-how-to-work-with-microtvm-micro-train-py"><span class="std std-ref">5. Training Vision Models for microTVM on Arduino</span></a> (<code class="docutils literal notranslate"><span class="pre">micro_train.py</span></code>)</p></td>
-<td><p>04:22.679</p></td>
+<td><p>04:17.930</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="micro_pytorch.html#sphx-glr-how-to-work-with-microtvm-micro-pytorch-py"><span class="std std-ref">4. microTVM PyTorch Tutorial</span></a> (<code class="docutils literal notranslate"><span class="pre">micro_pytorch.py</span></code>)</p></td>
-<td><p>01:29.976</p></td>
+<td><p>01:26.795</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="micro_autotune.html#sphx-glr-how-to-work-with-microtvm-micro-autotune-py"><span class="std std-ref">6. Model Tuning with microTVM</span></a> (<code class="docutils literal notranslate"><span class="pre">micro_autotune.py</span></code>)</p></td>
-<td><p>01:17.351</p></td>
+<td><p>01:14.507</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="micro_aot.html#sphx-glr-how-to-work-with-microtvm-micro-aot-py"><span class="std std-ref">3. microTVM Ahead-of-Time (AOT) Compilation</span></a> (<code class="docutils literal notranslate"><span class="pre">micro_aot.py</span></code>)</p></td>
-<td><p>00:11.535</p></td>
+<td><p>00:11.321</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="micro_custom_ide.html#sphx-glr-how-to-work-with-microtvm-micro-custom-ide-py"><span class="std std-ref">9. Bring microTVM to your own development environment</span></a> (<code class="docutils literal notranslate"><span class="pre">micro_custom_ide.py</span></code>)</p></td>
-<td><p>00:09.033</p></td>
+<td><p>00:08.704</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="micro_tflite.html#sphx-glr-how-to-work-with-microtvm-micro-tflite-py"><span class="std std-ref">2. microTVM TFLite Tutorial</span></a> (<code class="docutils literal notranslate"><span class="pre">micro_tflite.py</span></code>)</p></td>
-<td><p>00:08.225</p></td>
+<td><p>00:07.947</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="micro_ethosu.html#sphx-glr-how-to-work-with-microtvm-micro-ethosu-py"><span class="std std-ref">7. Running TVM on bare metal Arm(R) Cortex(R)-M55 CPU and Ethos(TM)-U55 NPU with CMSIS-NN</span></a> (<code class="docutils literal notranslate"><span class="pre">micro_ethosu.py</span></code>)</p></td>
diff --git a/docs/how_to/work_with_relay/sg_execution_times.html b/docs/how_to/work_with_relay/sg_execution_times.html
index c115a20c8d..2d872959dd 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>00:39.513</strong> total execution time for <strong>how_to_work_with_relay</strong> files:</p>
+<p><strong>00:38.482</strong> total execution time for <strong>how_to_work_with_relay</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 84%" />
@@ -369,15 +369,15 @@
</colgroup>
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="using_pipeline_executor.html#sphx-glr-how-to-work-with-relay-using-pipeline-executor-py"><span class="std std-ref">Using Pipeline Executor in Relay</span></a> (<code class="docutils literal notranslate"><span class="pre">using_pipeline_executor.py</span></code>)</p></td>
-<td><p>00:34.278</p></td>
+<td><p>00:33.477</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="using_external_lib.html#sphx-glr-how-to-work-with-relay-using-external-lib-py"><span class="std std-ref">Using External Libraries in Relay</span></a> (<code class="docutils literal notranslate"><span class="pre">using_external_lib.py</span></code>)</p></td>
-<td><p>00:03.206</p></td>
+<td><p>00:03.130</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="build_gcn.html#sphx-glr-how-to-work-with-relay-build-gcn-py"><span class="std std-ref">Building a Graph Convolutional Network</span></a> (<code class="docutils literal notranslate"><span class="pre">build_gcn.py</span></code>)</p></td>
-<td><p>00:02.023</p></td>
+<td><p>00:01.869</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="using_relay_viz.html#sphx-glr-how-to-work-with-relay-using-relay-viz-py"><span class="std std-ref">Use Relay Visualizer to Visualize Relay</span></a> (<code class="docutils literal notranslate"><span class="pre">using_relay_viz.py</span></code>)</p></td>
diff --git a/docs/how_to/work_with_schedules/intrin_math.html b/docs/how_to/work_with_schedules/intrin_math.html
index 4835d542ab..9c1d399959 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 0x7fe2ddfd2310>
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span><function my_cuda_math_rule at 0x7f5ba7df24c0>
</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 b854c26b4c..801b011df1 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>00:05.790</strong> total execution time for <strong>how_to_work_with_schedules</strong> files:</p>
+<p><strong>00:05.482</strong> total execution time for <strong>how_to_work_with_schedules</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 83%" />
@@ -369,23 +369,23 @@
</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>00:02.638</p></td>
+<td><p>00:02.620</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>00:01.390</p></td>
+<td><p>00:01.105</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>00:00.741</p></td>
+<td><p>00:00.738</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>00:00.732</p></td>
+<td><p>00:00.734</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>00:00.119</p></td>
+<td><p>00:00.118</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>
@@ -393,11 +393,11 @@
<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>00:00.068</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>00:00.032</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 a733d4dffa..3de1b8aeb6 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 d82d95007a..203cdc0545 100644
--- a/docs/reference/api/typedoc/classes/ArtifactCache.html
+++ b/docs/reference/api/typedoc/classes/ArtifactCache.html
@@ -24,7 +24,7 @@
<ul class="tsd-hierarchy">
<li><span class="target">ArtifactCache</span></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L988">runtime.ts:988</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L988">runtime.ts:988</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
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<h4 class="tsd-returns-title">Returns <a href="ArtifactCache.html" class="tsd-signature-type tsd-kind-class">ArtifactCache</a></h4><aside class="tsd-sources">
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L992">runtime.ts:992</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L992">runtime.ts:992</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
<section class="tsd-panel tsd-member"><a id="fetchWithCache" class="tsd-anchor"></a>
@@ -68,7 +68,7 @@
<h5><span class="tsd-kind-parameter">url</span>: <span class="tsd-signature-type">string</span></h5></li></ul></div>
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<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L996">runtime.ts:996</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L996">runtime.ts:996</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="hasAllKeys" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>has<wbr/>All<wbr/>Keys</span><a href="#hasAllKeys" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
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<h5><span class="tsd-kind-parameter">keys</span>: <span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">[]</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol"><</span><span class="tsd-signature-type">boolean</span><span class="tsd-signature-symbol">></span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L1012">runtime.ts:1012</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L1012">runtime.ts:1012</a></li></ul></aside></li></ul></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/DLDataType.html b/docs/reference/api/typedoc/classes/DLDataType.html
index 297e4336a4..ed47a6960f 100644
--- a/docs/reference/api/typedoc/classes/DLDataType.html
+++ b/docs/reference/api/typedoc/classes/DLDataType.html
@@ -24,7 +24,7 @@
<ul class="tsd-hierarchy">
<li><span class="target">DLDataType</span></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L398">runtime.ts:398</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L398">runtime.ts:398</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
<section class="tsd-panel tsd-index-panel">
<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -63,7 +63,7 @@
<h5><span class="tsd-kind-parameter">lanes</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <a href="DLDataType.html" class="tsd-signature-type tsd-kind-class">DLDataType</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L406">runtime.ts:406</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L406">runtime.ts:406</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Properties</h2>
<section class="tsd-panel tsd-member"><a id="bits" class="tsd-anchor"></a>
@@ -73,7 +73,7 @@
</div>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L402">runtime.ts:402</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L402">runtime.ts:402</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="code" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>code</span><a href="#code" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">code</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div>
@@ -81,7 +81,7 @@
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<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L400">runtime.ts:400</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L400">runtime.ts:400</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="lanes" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>lanes</span><a href="#lanes" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">lanes</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div>
@@ -89,7 +89,7 @@
</div>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L404">runtime.ts:404</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L404">runtime.ts:404</a></li></ul></aside></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
<section class="tsd-panel tsd-member"><a id="numStorageBytes" class="tsd-anchor"></a>
@@ -99,7 +99,7 @@
<li class="tsd-description">
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L421">runtime.ts:421</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L421">runtime.ts:421</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="toString" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>to<wbr/>String</span><a href="#toString" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -107,7 +107,7 @@
<li class="tsd-description">
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">string</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L412">runtime.ts:412</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L412">runtime.ts:412</a></li></ul></aside></li></ul></section></section></div>
<div class="col-sidebar">
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<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/DLDevice.html b/docs/reference/api/typedoc/classes/DLDevice.html
index 7cfbe671a8..ab8503c758 100644
--- a/docs/reference/api/typedoc/classes/DLDevice.html
+++ b/docs/reference/api/typedoc/classes/DLDevice.html
@@ -24,7 +24,7 @@
<ul class="tsd-hierarchy">
<li><span class="target">DLDevice</span></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L338">runtime.ts:338</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L338">runtime.ts:338</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
<section class="tsd-panel tsd-index-panel">
<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -62,7 +62,7 @@
<h5><span class="tsd-kind-parameter">lib</span>: <a href="_internal_.FFILibrary.html" class="tsd-signature-type tsd-kind-class">FFILibrary</a></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <a href="DLDevice.html" class="tsd-signature-type tsd-kind-class">DLDevice</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L346">runtime.ts:346</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L346">runtime.ts:346</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Properties</h2>
<section class="tsd-panel tsd-member"><a id="deviceId" class="tsd-anchor"></a>
@@ -72,7 +72,7 @@
</div>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L342">runtime.ts:342</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L342">runtime.ts:342</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="deviceType" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>device<wbr/>Type</span><a href="#deviceType" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">device<wbr/>Type</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div>
@@ -80,7 +80,7 @@
</div>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L340">runtime.ts:340</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L340">runtime.ts:340</a></li></ul></aside></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
<section class="tsd-panel tsd-member"><a id="sync" class="tsd-anchor"></a>
@@ -93,7 +93,7 @@
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol"><</span><span class="tsd-signature-type">void</span><span class="tsd-signature-symbol">></span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L365">runtime.ts:365</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L365">runtime.ts:365</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="toString" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>to<wbr/>String</span><a href="#toString" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -101,7 +101,7 @@
<li class="tsd-description">
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">string</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L372">runtime.ts:372</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L372">runtime.ts:372</a></li></ul></aside></li></ul></section></section></div>
<div class="col-sidebar">
<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/Instance.html b/docs/reference/api/typedoc/classes/Instance.html
index 8408891654..d3e596eb46 100644
--- a/docs/reference/api/typedoc/classes/Instance.html
+++ b/docs/reference/api/typedoc/classes/Instance.html
@@ -41,7 +41,7 @@ are not tracked through JS native garbage collection mechanism.</p>
<ul class="tsd-hierarchy">
<li><a href="../interfaces/Disposable.html" class="tsd-signature-type tsd-kind-interface">Disposable</a></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L1040">runtime.ts:1040</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L1040">runtime.ts:1040</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
<section class="tsd-panel tsd-index-panel">
<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -145,24 +145,24 @@ a WASI object, or an object containing wasmLibraryProvider field.</p>
<h4>See</h4><p>Please use the async version <a href="../functions/instantiate.html" class="tsd-kind-function">instantiate</a> when targeting browsers.</p>
</div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L1069">runtime.ts:1069</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L1069">runtime.ts:1069</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Properties</h2>
<section class="tsd-panel tsd-member"><a id="cacheMetadata" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>cache<wbr/>Metadata</span><a href="#cacheMetadata" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">cache<wbr/>Metadata</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type ">Record</span><span class="tsd-signature-symbol"><</span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">, </span><span class="tsd-signature-type">any</span><span class="tsd-signature-symbol">></span><span class="tsd-signature-symbol"> = {}</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L1043">runtime.ts:1043</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L1043">runtime.ts:1043</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="exports" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>exports</span><a href="#exports" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">exports</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type ">Record</span><span class="tsd-signature-symbol"><</span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">, </span><span class="tsd-signature-type ">Function</span><span class="tsd-signature-symbol">></span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L1042">runtime.ts:1042</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L1042">runtime.ts:1042</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="memory" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>memory</span><a href="#memory" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">memory</span><span class="tsd-signature-symbol">:</span> <a href="_internal_.Memory.html" class="tsd-signature-type tsd-kind-class">Memory</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L1041">runtime.ts:1041</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L1041">runtime.ts:1041</a></li></ul></aside></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
<section class="tsd-panel tsd-member"><a id="applyRepetitionPenalty" class="tsd-anchor"></a>
@@ -193,7 +193,7 @@ a WASI object, or an object containing wasmLibraryProvider field.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">any</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L1756">runtime.ts:1756</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L1756">runtime.ts:1756</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="applySoftmaxWithTemperature" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>apply<wbr/>Softmax<wbr/>With<wbr/>Temperature</span><a href="#applySoftmaxWithTemperature" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -217,7 +217,7 @@ a WASI object, or an object containing wasmLibraryProvider field.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">any</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L1765">runtime.ts:1765</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L1765">runtime.ts:1765</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="asyncLoadWebGPUPipelines" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>async<wbr/>Load<wbr/>WebGPUPipelines</span><a href="#asyncLoadWebGPUPipelines" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -236,7 +236,7 @@ a WASI object, or an object containing wasmLibraryProvider field.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol"><</span><span class="tsd-signature-type">void</span><span class="tsd-signature-symbol">></span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L1923">runtime.ts:1923</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L1923">runtime.ts:1923</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="attachToCurrentScope" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>attach<wbr/>To<wbr/>Current<wbr/>Scope</span><a href="#attachToCurrentScope" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -265,7 +265,7 @@ a WASI object, or an object containing wasmLibraryProvider field.</p>
<a href="Instance.html#detachFromCurrentScope" class="tsd-kind-method">detachFromCurrentScope</a> to create a detached object.</p>
</div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L1192">runtime.ts:1192</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L1192">runtime.ts:1192</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="beginScope" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>begin<wbr/>Scope</span><a href="#beginScope" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -276,7 +276,7 @@ a WASI object, or an object containing wasmLibraryProvider field.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L1151">runtime.ts:1151</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L1151">runtime.ts:1151</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="benchmark" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>benchmark</span><a href="#benchmark" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -312,7 +312,7 @@ a WASI object, or an object containing wasmLibraryProvider field.</p>
<h4>Repeat</h4><p>The number of times to repeat the run.</p>
</div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L1110">runtime.ts:1110</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L1110">runtime.ts:1110</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="bindCanvas" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>bind<wbr/>Canvas</span><a href="#bindCanvas" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -331,7 +331,7 @@ a WASI object, or an object containing wasmLibraryProvider field.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L1773">runtime.ts:1773</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L1773">runtime.ts:1773</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="clearCanvas" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>clear<wbr/>Canvas</span><a href="#clearCanvas" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -342,7 +342,7 @@ a WASI object, or an object containing wasmLibraryProvider field.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L1804">runtime.ts:1804</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L1804">runtime.ts:1804</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="cpu" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>cpu</span><a href="#cpu" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -361,7 +361,7 @@ a WASI object, or an object containing wasmLibraryProvider field.</p>
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<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L1654">runtime.ts:1654</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L1654">runtime.ts:1654</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="createVirtualMachine" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>create<wbr/>Virtual<wbr/>Machine</span><a href="#createVirtualMachine" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -381,7 +381,7 @@ a WASI object, or an object containing wasmLibraryProvider field.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L1370">runtime.ts:1370</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L1370">runtime.ts:1370</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="detachFromCurrentScope" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>detach<wbr/>From<wbr/>Current<wbr/>Scope</span><a href="#detachFromCurrentScope" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -409,7 +409,7 @@ so it won't be released via auto-release during endscope.</p>
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<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L1219">runtime.ts:1219</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L1219">runtime.ts:1219</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="device" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>device</span><a href="#device" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -434,7 +434,7 @@ so it won't be released via auto-release during endscope.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L1646">runtime.ts:1646</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L1646">runtime.ts:1646</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>dispose</span><a href="#dispose" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -448,7 +448,7 @@ only the first call will take effect.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L1131">runtime.ts:1131</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L1131">runtime.ts:1131</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="empty" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>empty</span><a href="#empty" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -478,7 +478,7 @@ only the first call will take effect.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L1674">runtime.ts:1674</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L1674">runtime.ts:1674</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="endScope" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>end<wbr/>Scope</span><a href="#endScope" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -492,7 +492,7 @@ a value to parent scope.</p>
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<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L1162">runtime.ts:1162</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L1162">runtime.ts:1162</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="fetchNDArrayCache" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>fetchNDArray<wbr/>Cache</span><a href="#fetchNDArrayCache" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -522,7 +522,7 @@ a value to parent scope.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/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/a86e41bcd/web/src/runtime.ts#L1461">runtime.ts:1461</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="getGlobalFunc" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get<wbr/>Global<wbr/>Func</span><a href="#getGlobalFunc" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -542,7 +542,7 @@ a value to parent scope.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L1307">runtime.ts:1307</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L1307">runtime.ts:1307</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="getParamsFromCache" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get<wbr/>Params<wbr/>From<wbr/>Cache</span><a href="#getParamsFromCache" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -566,7 +566,7 @@ a value to parent scope.</p>
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<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L1398">runtime.ts:1398</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L1398">runtime.ts:1398</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="getParamsFromCacheByName" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get<wbr/>Params<wbr/>From<wbr/>Cache<wbr/>By<wbr/>Name</span><a href="#getParamsFromCacheByName" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -586,7 +586,7 @@ a value to parent scope.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L1409">runtime.ts:1409</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L1409">runtime.ts:1409</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="initWebGPU" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>init<wbr/>WebGPU</span><a href="#initWebGPU" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -605,7 +605,7 @@ a value to parent scope.</p>
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<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L1988">runtime.ts:1988</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L1988">runtime.ts:1988</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="isPackedFunc" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>is<wbr/>Packed<wbr/>Func</span><a href="#isPackedFunc" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -625,7 +625,7 @@ a value to parent scope.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L1342">runtime.ts:1342</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L1342">runtime.ts:1342</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="listGlobalFuncNames" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>list<wbr/>Global<wbr/>Func<wbr/>Names</span><a href="#listGlobalFuncNames" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -637,7 +637,7 @@ a value to parent scope.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L1235">runtime.ts:1235</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L1235">runtime.ts:1235</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="makeShapeTuple" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>make<wbr/>Shape<wbr/>Tuple</span><a href="#makeShapeTuple" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -657,7 +657,7 @@ a value to parent scope.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L1838">runtime.ts:1838</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L1838">runtime.ts:1838</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="makeString" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>make<wbr/>String</span><a href="#makeString" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -677,7 +677,7 @@ a value to parent scope.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L1829">runtime.ts:1829</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L1829">runtime.ts:1829</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="makeTVMArray" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>makeTVMArray</span><a href="#makeTVMArray" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -699,7 +699,7 @@ and needs to b explicitly disposed.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L1817">runtime.ts:1817</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L1817">runtime.ts:1817</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="moveToParentScope" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>move<wbr/>To<wbr/>Parent<wbr/>Scope</span><a href="#moveToParentScope" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -726,7 +726,7 @@ alive when exit the current scope.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L1205">runtime.ts:1205</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L1205">runtime.ts:1205</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="ndarrayCacheClear" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>ndarray<wbr/>Cache<wbr/>Clear</span><a href="#ndarrayCacheClear" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -737,7 +737,7 @@ alive when exit the current scope.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L1449">runtime.ts:1449</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L1449">runtime.ts:1449</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="ndarrayCacheGet" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>ndarray<wbr/>Cache<wbr/>Get</span><a href="#ndarrayCacheGet" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -757,7 +757,7 @@ alive when exit the current scope.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L1422">runtime.ts:1422</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L1422">runtime.ts:1422</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="ndarrayCacheRemove" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>ndarray<wbr/>Cache<wbr/>Remove</span><a href="#ndarrayCacheRemove" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -777,7 +777,7 @@ alive when exit the current scope.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L1431">runtime.ts:1431</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L1431">runtime.ts:1431</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="ndarrayCacheUpdate" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>ndarray<wbr/>Cache<wbr/>Update</span><a href="#ndarrayCacheUpdate" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -803,7 +803,7 @@ alive when exit the current scope.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L1440">runtime.ts:1440</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L1440">runtime.ts:1440</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="registerAsyncServerFunc" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>register<wbr/>Async<wbr/>Server<wbr/>Func</span><a href="#registerAsyncServerFunc" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -834,7 +834,7 @@ alive when exit the current scope.</p>
<h4>Note</h4><p>The async function will only be used for serving remote calls in the rpc.</p>
</div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L1896">runtime.ts:1896</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L1896">runtime.ts:1896</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="registerFunc" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>register<wbr/>Func</span><a href="#registerFunc" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -860,7 +860,7 @@ alive when exit the current scope.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L1274">runtime.ts:1274</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L1274">runtime.ts:1274</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="registerInitProgressCallback" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>register<wbr/>Init<wbr/>Progress<wbr/>Callback</span><a href="#registerInitProgressCallback" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -879,7 +879,7 @@ alive when exit the current scope.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L1387">runtime.ts:1387</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L1387">runtime.ts:1387</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="registerObjectConstructor" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>register<wbr/>Object<wbr/>Constructor</span><a href="#registerObjectConstructor" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -908,7 +908,7 @@ alive when exit the current scope.</p>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L1875">runtime.ts:1875</a></li></ul></aside></li></ul></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L1140">runtime.ts:1140</a></li></ul></aside></li></ul></section>
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<h3 class="tsd-anchor-link"><span>sample<wbr/>TopPFrom<wbr/>Logits</span><a href="#sampleTopPFromLogits" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L1746">runtime.ts:1746</a></li></ul></aside></li></ul></section>
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<h3 class="tsd-anchor-link"><span>scalar</span><a href="#scalar" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
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@@ -974,7 +974,7 @@ alive when exit the current scope.</p>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L1636">runtime.ts:1636</a></li></ul></aside></li></ul></section>
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<h3 class="tsd-anchor-link"><span>set<wbr/>Packed<wbr/>Arguments</span><a href="#setPackedArguments" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L2121">runtime.ts:2121</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="showImage" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>show<wbr/>Image</span><a href="#showImage" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
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@@ -1027,7 +1027,7 @@ Allocate new temporary space from the stack if necessary.</p>
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<ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L1782">runtime.ts:1782</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="systemLib" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>system<wbr/>Lib</span><a href="#systemLib" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
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@@ -1040,7 +1040,7 @@ 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/a86e41bcd/web/src/runtime.ts#L1228">runtime.ts:1228</a></li></ul></aside></li></ul></section>
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<h3 class="tsd-anchor-link"><span>toDLData<wbr/>Type</span><a href="#toDLDataType" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
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@@ -1060,7 +1060,7 @@ 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/a86e41bcd/web/src/runtime.ts#L1590">runtime.ts:1590</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="toPackedFunc" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>to<wbr/>Packed<wbr/>Func</span><a href="#toPackedFunc" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
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@@ -1080,7 +1080,7 @@ 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/a86e41bcd/web/src/runtime.ts#L1353">runtime.ts:1353</a></li></ul></aside></li></ul></section>
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<h3 class="tsd-anchor-link"><span>type<wbr/>Key2<wbr/>Index</span><a href="#typeKey2Index" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
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@@ -1100,7 +1100,7 @@ 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/7eb45ee5d/web/src/runtime.ts#L1847">runtime.ts:1847</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L1847">runtime.ts:1847</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="uniform" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>uniform</span><a href="#uniform" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
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@@ -1135,7 +1135,7 @@ 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/a86e41bcd/web/src/runtime.ts#L1720">runtime.ts:1720</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="webgpu" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>webgpu</span><a href="#webgpu" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -1154,7 +1154,7 @@ System lib is a global module that contains self register functions in startup.<
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<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L1662">runtime.ts:1662</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L1662">runtime.ts:1662</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="withNewScope" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>with<wbr/>New<wbr/>Scope</span><a href="#withNewScope" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -1189,7 +1189,7 @@ System lib is a global module that contains self register functions in startup.<
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<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L1176">runtime.ts:1176</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L1176">runtime.ts:1176</a></li></ul></aside></li></ul></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/Module.html b/docs/reference/api/typedoc/classes/Module.html
index 50a12f4761..95f74b73aa 100644
--- a/docs/reference/api/typedoc/classes/Module.html
+++ b/docs/reference/api/typedoc/classes/Module.html
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<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L686">runtime.ts:686</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L686">runtime.ts:686</a></li></ul></aside>
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@@ -74,7 +74,7 @@
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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/7eb45ee5d/web/src/runtime.ts#L691">runtime.ts:691</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L691">runtime.ts:691</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
<section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
@@ -90,7 +90,7 @@ only the first call will take effect.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L701">runtime.ts:701</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L701">runtime.ts:701</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="getFunction" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get<wbr/>Function</span><a href="#getFunction" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -115,7 +115,7 @@ only the first call will take effect.</p>
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<ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L729">runtime.ts:729</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="getHandle" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get<wbr/>Handle</span><a href="#getHandle" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -135,7 +135,7 @@ only the first call will take effect.</p>
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<ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L716">runtime.ts:716</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="importModule" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>import<wbr/>Module</span><a href="#importModule" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -154,7 +154,7 @@ only the first call will take effect.</p>
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<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L763">runtime.ts:763</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L763">runtime.ts:763</a></li></ul></aside></li></ul></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/NDArray.html b/docs/reference/api/typedoc/classes/NDArray.html
index 4d3571f304..f1b7c2bad9 100644
--- a/docs/reference/api/typedoc/classes/NDArray.html
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@@ -28,7 +28,7 @@
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<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L429">runtime.ts:429</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L429">runtime.ts:429</a></li></ul></aside>
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<section class="tsd-panel tsd-index-panel">
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<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L449">runtime.ts:449</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L449">runtime.ts:449</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Properties</h2>
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@@ -87,7 +87,7 @@
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<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L439">runtime.ts:439</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L439">runtime.ts:439</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="dtype" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>dtype</span><a href="#dtype" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">dtype</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">string</span></div>
@@ -95,7 +95,7 @@
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L435">runtime.ts:435</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="isView" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>is<wbr/>View</span><a href="#isView" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">is<wbr/>View</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">boolean</span></div>
@@ -103,7 +103,7 @@
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L441">runtime.ts:441</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="ndim" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>ndim</span><a href="#ndim" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">ndim</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div>
@@ -111,7 +111,7 @@
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L433">runtime.ts:433</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L433">runtime.ts:433</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="shape" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>shape</span><a href="#shape" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
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@@ -119,7 +119,7 @@
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L437">runtime.ts:437</a></li></ul></aside></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
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<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L549">runtime.ts:549</a></li></ul></aside></li></ul></section>
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<h3 class="tsd-anchor-link"><span>copy<wbr/>From<wbr/>Raw<wbr/>Bytes</span><a href="#copyFromRawBytes" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
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<ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L593">runtime.ts:593</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>dispose</span><a href="#dispose" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -176,7 +176,7 @@ only the first call will take effect.</p>
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<p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L534">runtime.ts:534</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L534">runtime.ts:534</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="getDataPtr" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get<wbr/>Data<wbr/>Ptr</span><a href="#getDataPtr" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -188,7 +188,7 @@ only the first call will take effect.</p>
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<ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L527">runtime.ts:527</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="getHandle" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get<wbr/>Handle</span><a href="#getHandle" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
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@@ -208,7 +208,7 @@ only the first call will take effect.</p>
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<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L515">runtime.ts:515</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L515">runtime.ts:515</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="toArray" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>to<wbr/>Array</span><a href="#toArray" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -221,7 +221,7 @@ the dtype of the NDArray.</p>
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<ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L659">runtime.ts:659</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="toRawBytes" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>to<wbr/>Raw<wbr/>Bytes</span><a href="#toRawBytes" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -233,7 +233,7 @@ the dtype of the NDArray.</p>
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<ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L628">runtime.ts:628</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="view" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>view</span><a href="#view" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
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@@ -253,7 +253,7 @@ the dtype of the NDArray.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L504">runtime.ts:504</a></li></ul></aside></li></ul></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/RPCServer.html b/docs/reference/api/typedoc/classes/RPCServer.html
index 9ef1f63db1..d6b68294b7 100644
--- a/docs/reference/api/typedoc/classes/RPCServer.html
+++ b/docs/reference/api/typedoc/classes/RPCServer.html
@@ -24,7 +24,7 @@
<ul class="tsd-hierarchy">
<li><span class="target">RPCServer</span></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/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/a86e41bcd/web/src/rpc_server.ts#L77">rpc_server.ts:77</a></li></ul></aside>
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@@ -99,7 +99,7 @@
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<h4 class="tsd-returns-title">Returns <a href="RPCServer.html" class="tsd-signature-type tsd-kind-class">RPCServer</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/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/a86e41bcd/web/src/rpc_server.ts#L100">rpc_server.ts:100</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Properties</h2>
<section class="tsd-panel tsd-member"><a id="getImports" class="tsd-anchor"></a>
@@ -114,12 +114,12 @@
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<ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/rpc_server.ts#L83">rpc_server.ts:83</a></li></ul></aside></section>
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<h3 class="tsd-anchor-link"><span>key</span><a href="#key" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">key</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">string</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/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/a86e41bcd/web/src/rpc_server.ts#L79">rpc_server.ts:79</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="logger" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>logger</span><a href="#logger" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
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<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/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/a86e41bcd/web/src/rpc_server.ts#L82">rpc_server.ts:82</a></li></ul></aside></section>
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<h3 class="tsd-anchor-link"><span>socket</span><a href="#socket" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">socket</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type ">WebSocket</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/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/a86e41bcd/web/src/rpc_server.ts#L80">rpc_server.ts:80</a></li></ul></aside></section>
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<h3 class="tsd-anchor-link"><span>state</span><a href="#state" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
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<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/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/a86e41bcd/web/src/rpc_server.ts#L81">rpc_server.ts:81</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="url" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>url</span><a href="#url" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">url</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">string</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/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/a86e41bcd/web/src/rpc_server.ts#L78">rpc_server.ts:78</a></li></ul></aside></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/Scalar.html b/docs/reference/api/typedoc/classes/Scalar.html
index 494d49d970..e1930a3cc0 100644
--- a/docs/reference/api/typedoc/classes/Scalar.html
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@@ -25,7 +25,7 @@ argument to PackedFunc calls.</p>
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<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/7eb45ee5d/web/src/runtime.ts#L276">runtime.ts:276</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L276">runtime.ts:276</a></li></ul></aside>
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@@ -56,7 +56,7 @@ argument to PackedFunc calls.</p>
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<h4 class="tsd-returns-title">Returns <a href="Scalar.html" class="tsd-signature-type tsd-kind-class">Scalar</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L282">runtime.ts:282</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L282">runtime.ts:282</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Properties</h2>
<section class="tsd-panel tsd-member"><a id="dtype" class="tsd-anchor"></a>
@@ -66,7 +66,7 @@ argument to PackedFunc calls.</p>
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<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L280">runtime.ts:280</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L280">runtime.ts:280</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="value" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>value</span><a href="#value" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">value</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div>
@@ -74,7 +74,7 @@ argument to PackedFunc calls.</p>
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<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L278">runtime.ts:278</a></li></ul></aside></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L278">runtime.ts:278</a></li></ul></aside></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/TVMArray.html b/docs/reference/api/typedoc/classes/TVMArray.html
index 2220d97d50..a561690970 100644
--- a/docs/reference/api/typedoc/classes/TVMArray.html
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<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L860">runtime.ts:860</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L860">runtime.ts:860</a></li></ul></aside>
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@@ -64,7 +64,7 @@
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<p>Overrides <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#constructor">constructor</a></p>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L861">runtime.ts:861</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L861">runtime.ts:861</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
<section class="tsd-panel tsd-member tsd-is-inherited"><a id="dispose" class="tsd-anchor"></a>
@@ -80,7 +80,7 @@ only the first call will take effect.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<p>Inherited from <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#dispose">dispose</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L791">runtime.ts:791</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L791">runtime.ts:791</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="get" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get</span><a href="#get" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
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@@ -100,7 +100,7 @@ only the first call will take effect.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L880">runtime.ts:880</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member tsd-is-inherited"><a id="getHandle" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get<wbr/>Handle</span><a href="#getHandle" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures tsd-is-inherited">
@@ -121,7 +121,7 @@ only the first call will take effect.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<p>Inherited from <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#getHandle">getHandle</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L806">runtime.ts:806</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L806">runtime.ts:806</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="size" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>size</span><a href="#size" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
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@@ -131,7 +131,7 @@ only the first call will take effect.</p>
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<ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L872">runtime.ts:872</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member tsd-is-inherited"><a id="typeIndex" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>type<wbr/>Index</span><a href="#typeIndex" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
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@@ -143,7 +143,7 @@ only the first call will take effect.</p>
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<p>Inherited from <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#typeIndex">typeIndex</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L814">runtime.ts:814</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L814">runtime.ts:814</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member tsd-is-inherited"><a id="typeKey" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>type<wbr/>Key</span><a href="#typeKey" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures tsd-is-inherited">
@@ -155,7 +155,7 @@ only the first call will take effect.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<p>Inherited from <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#typeKey">typeKey</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L834">runtime.ts:834</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L834">runtime.ts:834</a></li></ul></aside></li></ul></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/TVMObject.html b/docs/reference/api/typedoc/classes/TVMObject.html
index 762208420f..22d8ddee02 100644
--- a/docs/reference/api/typedoc/classes/TVMObject.html
+++ b/docs/reference/api/typedoc/classes/TVMObject.html
@@ -31,7 +31,7 @@
<ul class="tsd-hierarchy">
<li><a href="../interfaces/Disposable.html" class="tsd-signature-type tsd-kind-interface">Disposable</a></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L776">runtime.ts:776</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L776">runtime.ts:776</a></li></ul></aside>
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@@ -66,7 +66,7 @@
<h5><span class="tsd-kind-parameter">ctx</span>: <a href="_internal_.RuntimeContext.html" class="tsd-signature-type tsd-kind-class">RuntimeContext</a></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <a href="TVMObject.html" class="tsd-signature-type tsd-kind-class">TVMObject</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L781">runtime.ts:781</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L781">runtime.ts:781</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
<section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
@@ -82,7 +82,7 @@ only the first call will take effect.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L791">runtime.ts:791</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L791">runtime.ts:791</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="getHandle" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get<wbr/>Handle</span><a href="#getHandle" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -102,7 +102,7 @@ only the first call will take effect.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L806">runtime.ts:806</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L806">runtime.ts:806</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="typeIndex" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>type<wbr/>Index</span><a href="#typeIndex" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -113,7 +113,7 @@ only the first call will take effect.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L814">runtime.ts:814</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L814">runtime.ts:814</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="typeKey" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>type<wbr/>Key</span><a href="#typeKey" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -124,7 +124,7 @@ only the first call will take effect.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">string</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L834">runtime.ts:834</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L834">runtime.ts:834</a></li></ul></aside></li></ul></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/VirtualMachine.html b/docs/reference/api/typedoc/classes/VirtualMachine.html
index 690d9f94e1..c851a22240 100644
--- a/docs/reference/api/typedoc/classes/VirtualMachine.html
+++ b/docs/reference/api/typedoc/classes/VirtualMachine.html
@@ -31,7 +31,7 @@
<ul class="tsd-hierarchy">
<li><a href="../interfaces/Disposable.html" class="tsd-signature-type tsd-kind-interface">Disposable</a></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L915">runtime.ts:915</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L915">runtime.ts:915</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
<section class="tsd-panel tsd-index-panel">
<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -72,7 +72,7 @@
<h4 class="tsd-returns-title">Returns <a href="VirtualMachine.html" class="tsd-signature-type tsd-kind-class">VirtualMachine</a></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L922">runtime.ts:922</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L922">runtime.ts:922</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
<section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
@@ -88,7 +88,7 @@ only the first call will take effect.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L935">runtime.ts:935</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L935">runtime.ts:935</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="getFunction" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get<wbr/>Function</span><a href="#getFunction" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -108,7 +108,7 @@ only the first call will take effect.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L943">runtime.ts:943</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L943">runtime.ts:943</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="getInternalModule" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get<wbr/>Internal<wbr/>Module</span><a href="#getInternalModule" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -119,7 +119,7 @@ only the first call will take effect.</p>
<h4 class="tsd-returns-title">Returns <a href="Module.html" class="tsd-signature-type tsd-kind-class">Module</a></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L950">runtime.ts:950</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L950">runtime.ts:950</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 2f08ba5ec4..bea759183a 100644
--- a/docs/reference/api/typedoc/classes/_internal_.CachedCallStack.html
+++ b/docs/reference/api/typedoc/classes/_internal_.CachedCallStack.html
@@ -37,7 +37,7 @@ can still call into storeXX</li>
<ul class="tsd-hierarchy">
<li><a href="../interfaces/Disposable.html" class="tsd-signature-type tsd-kind-interface">Disposable</a></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/memory.ts#L206">memory.ts:206</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/memory.ts#L206">memory.ts:206</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
<section class="tsd-panel tsd-index-panel">
<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -87,7 +87,7 @@ can still call into storeXX</li>
<h5><span class="tsd-kind-parameter">freeSpace</span>: <a href="../types/_internal_.FTVMWasmFreeSpace.html" class="tsd-signature-type tsd-kind-type-alias">FTVMWasmFreeSpace</a></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <a href="_internal_.CachedCallStack.html" class="tsd-signature-type tsd-kind-class">CachedCallStack</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/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/a86e41bcd/web/src/memory.ts#L225">memory.ts:225</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Properties</h2>
<section class="tsd-panel tsd-member"><a id="tempArgs" class="tsd-anchor"></a>
@@ -97,7 +97,7 @@ can still call into storeXX</li>
</div>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/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/a86e41bcd/web/src/memory.ts#L208">memory.ts:208</a></li></ul></aside></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
<section class="tsd-panel tsd-member"><a id="allocPtrArray" class="tsd-anchor"></a>
@@ -119,7 +119,7 @@ can still call into storeXX</li>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/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/a86e41bcd/web/src/memory.ts#L312">memory.ts:312</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="allocRawBytes" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>alloc<wbr/>Raw<wbr/>Bytes</span><a href="#allocRawBytes" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -140,7 +140,7 @@ can still call into storeXX</li>
<h4>Note</h4><p>This function always allocate space that aligns to 64bit.</p>
</div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/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/a86e41bcd/web/src/memory.ts#L284">memory.ts:284</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="allocThenSetArgBytes" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>alloc<wbr/>Then<wbr/>Set<wbr/>Arg<wbr/>Bytes</span><a href="#allocThenSetArgBytes" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -165,7 +165,7 @@ Allocate new temporary space for bytes.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/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/a86e41bcd/web/src/memory.ts#L389">memory.ts:389</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="allocThenSetArgString" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>alloc<wbr/>Then<wbr/>Set<wbr/>Arg<wbr/>String</span><a href="#allocThenSetArgString" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -192,7 +192,7 @@ and will be filled when we commit the data.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/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/a86e41bcd/web/src/memory.ts#L377">memory.ts:377</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="commitToWasmMemory" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>commit<wbr/>To<wbr/>Wasm<wbr/>Memory</span><a href="#commitToWasmMemory" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -213,7 +213,7 @@ No further store function should be called.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/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/a86e41bcd/web/src/memory.ts#L267">memory.ts:267</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>dispose</span><a href="#dispose" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -227,7 +227,7 @@ only the first call will take effect.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/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/a86e41bcd/web/src/memory.ts#L243">memory.ts:243</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="ptrFromOffset" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>ptr<wbr/>From<wbr/>Offset</span><a href="#ptrFromOffset" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -247,7 +247,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/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/a86e41bcd/web/src/memory.ts#L321">memory.ts:321</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="reset" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>reset</span><a href="#reset" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -258,7 +258,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/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/a86e41bcd/web/src/memory.ts#L252">memory.ts:252</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="storeF64" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>store<wbr/>F64</span><a href="#storeF64" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -273,7 +273,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
<h5><span class="tsd-kind-parameter">value</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/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/a86e41bcd/web/src/memory.ts#L360">memory.ts:360</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="storeI32" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>store<wbr/>I32</span><a href="#storeI32" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -288,7 +288,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
<h5><span class="tsd-kind-parameter">value</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/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/a86e41bcd/web/src/memory.ts#L342">memory.ts:342</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="storeI64" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>store<wbr/>I64</span><a href="#storeI64" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -303,7 +303,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
<h5><span class="tsd-kind-parameter">value</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/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/a86e41bcd/web/src/memory.ts#L350">memory.ts:350</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="storePtr" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>store<wbr/>Ptr</span><a href="#storePtr" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -318,7 +318,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
<h5><span class="tsd-kind-parameter">value</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/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/a86e41bcd/web/src/memory.ts#L326">memory.ts:326</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="storeRawBytes" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>store<wbr/>Raw<wbr/>Bytes</span><a href="#storeRawBytes" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -333,7 +333,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
<h5><span class="tsd-kind-parameter">bytes</span>: <span class="tsd-signature-type ">Uint8Array</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/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/a86e41bcd/web/src/memory.ts#L364">memory.ts:364</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="storeU32" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>store<wbr/>U32</span><a href="#storeU32" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -348,7 +348,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
<h5><span class="tsd-kind-parameter">value</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/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/a86e41bcd/web/src/memory.ts#L346">memory.ts:346</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="storeUSize" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>storeUSize</span><a href="#storeUSize" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -363,7 +363,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
<h5><span class="tsd-kind-parameter">value</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/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/a86e41bcd/web/src/memory.ts#L334">memory.ts:334</a></li></ul></aside></li></ul></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/_internal_.CanvasRenderManager.html b/docs/reference/api/typedoc/classes/_internal_.CanvasRenderManager.html
index 1806a57df5..23b9db451b 100644
--- a/docs/reference/api/typedoc/classes/_internal_.CanvasRenderManager.html
+++ b/docs/reference/api/typedoc/classes/_internal_.CanvasRenderManager.html
@@ -30,7 +30,7 @@ which needs to be explicitly disposed.</p>
<ul class="tsd-hierarchy">
<li><a href="../interfaces/Disposable.html" class="tsd-signature-type tsd-kind-interface">Disposable</a></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/webgpu.ts#L158">webgpu.ts:158</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/webgpu.ts#L158">webgpu.ts:158</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
<section class="tsd-panel tsd-index-panel">
<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -62,7 +62,7 @@ which needs to be explicitly disposed.</p>
<h5><span class="tsd-kind-parameter">canvas</span>: <span class="tsd-signature-type ">HTMLCanvasElement</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <a href="_internal_.CanvasRenderManager.html" class="tsd-signature-type tsd-kind-class">CanvasRenderManager</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/webgpu.ts#L167">webgpu.ts:167</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/webgpu.ts#L167">webgpu.ts:167</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
<section class="tsd-panel tsd-member"><a id="clear" class="tsd-anchor"></a>
@@ -72,7 +72,7 @@ which needs to be explicitly disposed.</p>
<li class="tsd-description">
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/webgpu.ts#L241">webgpu.ts:241</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/webgpu.ts#L241">webgpu.ts:241</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>dispose</span><a href="#dispose" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -86,7 +86,7 @@ only the first call will take effect.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/webgpu.ts#L317">webgpu.ts:317</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/webgpu.ts#L317">webgpu.ts:317</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="draw" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>draw</span><a href="#draw" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -103,7 +103,7 @@ only the first call will take effect.</p>
<h5><span class="tsd-kind-parameter">width</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/webgpu.ts#L267">webgpu.ts:267</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/webgpu.ts#L267">webgpu.ts:267</a></li></ul></aside></li></ul></section></section></div>
<div class="col-sidebar">
<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/_internal_.Environment.html b/docs/reference/api/typedoc/classes/_internal_.Environment.html
index d879dac7b3..9ec508ec89 100644
--- a/docs/reference/api/typedoc/classes/_internal_.Environment.html
+++ b/docs/reference/api/typedoc/classes/_internal_.Environment.html
@@ -29,7 +29,7 @@
<ul class="tsd-hierarchy">
<li><a href="../interfaces/LibraryProvider.html" class="tsd-signature-type tsd-kind-interface">LibraryProvider</a></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/environment.ts#L68">environment.ts:68</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/environment.ts#L68">environment.ts:68</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
<section class="tsd-panel tsd-index-panel">
<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -77,7 +77,7 @@
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4></li></ul></li></ul></li></ul></div>
<h4 class="tsd-returns-title">Returns <a href="_internal_.Environment.html" class="tsd-signature-type tsd-kind-class">Environment</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/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/a86e41bcd/web/src/environment.ts#L88">environment.ts:88</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Properties</h2>
<section class="tsd-panel tsd-member"><a id="imports" class="tsd-anchor"></a>
@@ -88,7 +88,7 @@
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<p>Implementation of <a href="../interfaces/LibraryProvider.html">LibraryProvider</a>.<a href="../interfaces/LibraryProvider.html#imports">imports</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/environment.ts#L70">environment.ts:70</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/environment.ts#L70">environment.ts:70</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="logger" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>logger</span><a href="#logger" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">logger</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">(</span><span class="tsd-signature-symbol">(</span><span class="tsd-kind-parameter">msg</span><span class="tsd-signature-symbol">)</span><span class="tsd-signature-symbol"> => </span><span class="tsd-signature-type">void</span><span class="tsd-signature-symbol">)</span></div>
@@ -106,7 +106,7 @@
<h5><span class="tsd-kind-parameter">msg</span>: <span class="tsd-signature-type">string</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4></li></ul></li></ul></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/environment.ts#L69">environment.ts:69</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/environment.ts#L69">environment.ts:69</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="packedCFuncTable" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>packedCFunc<wbr/>Table</span><a href="#packedCFuncTable" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">packedCFunc<wbr/>Table</span><span class="tsd-signature-symbol">:</span> <a href="../types/_internal_.FTVMWasmPackedCFunc.html" class="tsd-signature-type tsd-kind-type-alias">FTVMWasmPackedCFunc</a><span class="tsd-signature-symbol">[]</span><span class="tsd-signature-symbol"> = ...</span></div>
@@ -117,7 +117,7 @@ of functions that do not maps to the address space.</p>
</div>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/environment.ts#L78">environment.ts:78</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/environment.ts#L78">environment.ts:78</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="packedCFuncTableFreeId" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>packedCFunc<wbr/>Table<wbr/>Free<wbr/>Id</span><a href="#packedCFuncTableFreeId" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">packedCFunc<wbr/>Table<wbr/>Free<wbr/>Id</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">[]</span><span class="tsd-signature-symbol"> = []</span></div>
@@ -125,7 +125,7 @@ of functions that do not maps to the address space.</p>
</div>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/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/a86e41bcd/web/src/environment.ts#L84">environment.ts:84</a></li></ul></aside></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
<section class="tsd-panel tsd-member"><a id="start" class="tsd-anchor"></a>
@@ -144,7 +144,7 @@ of functions that do not maps to the address space.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<p>Implementation of <a href="../interfaces/LibraryProvider.html">LibraryProvider</a>.<a href="../interfaces/LibraryProvider.html#start">start</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/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/a86e41bcd/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 37c87ffdc3..cdeaae1c70 100644
--- a/docs/reference/api/typedoc/classes/_internal_.FFILibrary.html
+++ b/docs/reference/api/typedoc/classes/_internal_.FFILibrary.html
@@ -29,7 +29,7 @@
<ul class="tsd-hierarchy">
<li><a href="../interfaces/Disposable.html" class="tsd-signature-type tsd-kind-interface">Disposable</a></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L43">runtime.ts:43</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L43">runtime.ts:43</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
<section class="tsd-panel tsd-index-panel">
<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -70,29 +70,29 @@
<h5><span class="tsd-kind-parameter">imports</span>: <span class="tsd-signature-type ">Record</span><span class="tsd-signature-symbol"><</span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">, </span><span class="tsd-signature-type">any</span><span class="tsd-signature-symbol">></span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <a href="_internal_.FFILibrary.html" class="tsd-signature-type tsd-kind-class">FFILibrary</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L51">runtime.ts:51</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L51">runtime.ts:51</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Properties</h2>
<section class="tsd-panel tsd-member"><a id="exports" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>exports</span><a href="#exports" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">exports</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type ">Record</span><span class="tsd-signature-symbol"><</span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">, </span><span class="tsd-signature-type ">Function</span><span class="tsd-signature-symbol">></span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L46">runtime.ts:46</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L46">runtime.ts:46</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="memory" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>memory</span><a href="#memory" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">memory</span><span class="tsd-signature-symbol">:</span> <a href="_internal_.Memory.html" class="tsd-signature-type tsd-kind-class">Memory</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L45">runtime.ts:45</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L45">runtime.ts:45</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="wasm32" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>wasm32</span><a href="#wasm32" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">wasm32</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">boolean</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L44">runtime.ts:44</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L44">runtime.ts:44</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="webGPUContext" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><code class="tsd-tag ts-flagOptional">Optional</code> <span>webGPUContext</span><a href="#webGPUContext" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">webGPUContext</span><span class="tsd-signature-symbol">?:</span> <a href="_internal_.WebGPUContext.html" class="tsd-signature-type tsd-kind-class">WebGPUContext</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L47">runtime.ts:47</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L47">runtime.ts:47</a></li></ul></aside></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
<section class="tsd-panel tsd-member"><a id="checkCall" class="tsd-anchor"></a>
@@ -107,7 +107,7 @@
<h5><span class="tsd-kind-parameter">code</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L77">runtime.ts:77</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L77">runtime.ts:77</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>dispose</span><a href="#dispose" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -121,7 +121,7 @@ only the first call will take effect.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L66">runtime.ts:66</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L66">runtime.ts:66</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="getOrAllocCallStack" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get<wbr/>Or<wbr/>Alloc<wbr/>Call<wbr/>Stack</span><a href="#getOrAllocCallStack" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -129,7 +129,7 @@ only the first call will take effect.</p>
<li class="tsd-description">
<h4 class="tsd-returns-title">Returns <a href="_internal_.CachedCallStack.html" class="tsd-signature-type tsd-kind-class">CachedCallStack</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L86">runtime.ts:86</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L86">runtime.ts:86</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="recycleCallStack" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>recycle<wbr/>Call<wbr/>Stack</span><a href="#recycleCallStack" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -142,7 +142,7 @@ only the first call will take effect.</p>
<h5><span class="tsd-kind-parameter">callstack</span>: <a href="_internal_.CachedCallStack.html" class="tsd-signature-type tsd-kind-class">CachedCallStack</a></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L97">runtime.ts:97</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L97">runtime.ts:97</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="sizeofPtr" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>sizeof<wbr/>Ptr</span><a href="#sizeofPtr" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -150,7 +150,7 @@ only the first call will take effect.</p>
<li class="tsd-description">
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L73">runtime.ts:73</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L73">runtime.ts:73</a></li></ul></aside></li></ul></section></section></div>
<div class="col-sidebar">
<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/_internal_.Memory.html b/docs/reference/api/typedoc/classes/_internal_.Memory.html
index 26b15b0d3e..5297b0522f 100644
--- a/docs/reference/api/typedoc/classes/_internal_.Memory.html
+++ b/docs/reference/api/typedoc/classes/_internal_.Memory.html
@@ -25,7 +25,7 @@
<ul class="tsd-hierarchy">
<li><span class="target">Memory</span></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/memory.ts#L31">memory.ts:31</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/memory.ts#L31">memory.ts:31</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
<section class="tsd-panel tsd-index-panel">
<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -71,19 +71,19 @@
<h5><span class="tsd-kind-parameter">memory</span>: <span class="tsd-signature-type ">Memory</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <a href="_internal_.Memory.html" class="tsd-signature-type tsd-kind-class">Memory</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/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/a86e41bcd/web/src/memory.ts#L42">memory.ts:42</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Properties</h2>
<section class="tsd-panel tsd-member"><a id="memory" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>memory</span><a href="#memory" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">memory</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type ">Memory</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/memory.ts#L32">memory.ts:32</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/memory.ts#L32">memory.ts:32</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="wasm32" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>wasm32</span><a href="#wasm32" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">wasm32</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">boolean</span><span class="tsd-signature-symbol"> = true</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/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/a86e41bcd/web/src/memory.ts#L33">memory.ts:33</a></li></ul></aside></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
<section class="tsd-panel tsd-member"><a id="loadCString" class="tsd-anchor"></a>
@@ -104,7 +104,7 @@
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">string</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/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/a86e41bcd/web/src/memory.ts#L154">memory.ts:154</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="loadF32" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>load<wbr/>F32</span><a href="#loadF32" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -117,7 +117,7 @@
<h5><span class="tsd-kind-parameter">ptr</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/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/a86e41bcd/web/src/memory.ts#L90">memory.ts:90</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="loadF64" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>load<wbr/>F64</span><a href="#loadF64" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -130,7 +130,7 @@
<h5><span class="tsd-kind-parameter">ptr</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/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/a86e41bcd/web/src/memory.ts#L97">memory.ts:97</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="loadI32" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>load<wbr/>I32</span><a href="#loadI32" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -143,7 +143,7 @@
<h5><span class="tsd-kind-parameter">ptr</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/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/a86e41bcd/web/src/memory.ts#L74">memory.ts:74</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="loadI64" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>load<wbr/>I64</span><a href="#loadI64" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -156,7 +156,7 @@
<h5><span class="tsd-kind-parameter">ptr</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/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/a86e41bcd/web/src/memory.ts#L81">memory.ts:81</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="loadPointer" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>load<wbr/>Pointer</span><a href="#loadPointer" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -169,7 +169,7 @@
<h5><span class="tsd-kind-parameter">ptr</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/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/a86e41bcd/web/src/memory.ts#L104">memory.ts:104</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="loadRawBytes" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>load<wbr/>Raw<wbr/>Bytes</span><a href="#loadRawBytes" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -193,7 +193,7 @@
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Uint8Array</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/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/a86e41bcd/web/src/memory.ts#L132">memory.ts:132</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="loadTVMBytes" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>loadTVMBytes</span><a href="#loadTVMBytes" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -212,7 +212,7 @@
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Uint8Array</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/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/a86e41bcd/web/src/memory.ts#L145">memory.ts:145</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="loadU16" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>load<wbr/>U16</span><a href="#loadU16" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -225,7 +225,7 @@
<h5><span class="tsd-kind-parameter">ptr</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/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/a86e41bcd/web/src/memory.ts#L60">memory.ts:60</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="loadU32" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>load<wbr/>U32</span><a href="#loadU32" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -238,7 +238,7 @@
<h5><span class="tsd-kind-parameter">ptr</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/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/a86e41bcd/web/src/memory.ts#L67">memory.ts:67</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="loadU8" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>load<wbr/>U8</span><a href="#loadU8" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -251,7 +251,7 @@
<h5><span class="tsd-kind-parameter">ptr</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/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/a86e41bcd/web/src/memory.ts#L53">memory.ts:53</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="loadUSize" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>loadUSize</span><a href="#loadUSize" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -264,7 +264,7 @@
<h5><span class="tsd-kind-parameter">ptr</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/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/a86e41bcd/web/src/memory.ts#L114">memory.ts:114</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="sizeofPtr" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>sizeof<wbr/>Ptr</span><a href="#sizeofPtr" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -272,7 +272,7 @@
<li class="tsd-description">
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/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/a86e41bcd/web/src/memory.ts#L124">memory.ts:124</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="storeRawBytes" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>store<wbr/>Raw<wbr/>Bytes</span><a href="#storeRawBytes" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -296,7 +296,7 @@
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/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/a86e41bcd/web/src/memory.ts#L175">memory.ts:175</a></li></ul></aside></li></ul></section></section></div>
<div class="col-sidebar">
<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/_internal_.PackedFuncCell.html b/docs/reference/api/typedoc/classes/_internal_.PackedFuncCell.html
index f3dd05352c..87abf89c80 100644
--- a/docs/reference/api/typedoc/classes/_internal_.PackedFuncCell.html
+++ b/docs/reference/api/typedoc/classes/_internal_.PackedFuncCell.html
@@ -29,7 +29,7 @@
<ul class="tsd-hierarchy">
<li><a href="../interfaces/Disposable.html" class="tsd-signature-type tsd-kind-interface">Disposable</a></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L291">runtime.ts:291</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L291">runtime.ts:291</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
<section class="tsd-panel tsd-index-panel">
<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -60,7 +60,7 @@
<h5><span class="tsd-kind-parameter">lib</span>: <a href="_internal_.FFILibrary.html" class="tsd-signature-type tsd-kind-class">FFILibrary</a></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <a href="_internal_.PackedFuncCell.html" class="tsd-signature-type tsd-kind-class">PackedFuncCell</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L295">runtime.ts:295</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L295">runtime.ts:295</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
<section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
@@ -76,7 +76,7 @@ only the first call will take effect.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L300">runtime.ts:300</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L300">runtime.ts:300</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="getHandle" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get<wbr/>Handle</span><a href="#getHandle" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -89,7 +89,7 @@ only the first call will take effect.</p>
<h5><span class="tsd-kind-parameter">requireNotNull</span>: <span class="tsd-signature-type">boolean</span><span class="tsd-signature-symbol"> = true</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L309">runtime.ts:309</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L309">runtime.ts:309</a></li></ul></aside></li></ul></section></section></div>
<div class="col-sidebar">
<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/_internal_.RuntimeContext.html b/docs/reference/api/typedoc/classes/_internal_.RuntimeContext.html
index 3fbd0399f5..0ad2d3603e 100644
--- a/docs/reference/api/typedoc/classes/_internal_.RuntimeContext.html
+++ b/docs/reference/api/typedoc/classes/_internal_.RuntimeContext.html
@@ -29,7 +29,7 @@
<ul class="tsd-hierarchy">
<li><a href="../interfaces/Disposable.html" class="tsd-signature-type tsd-kind-interface">Disposable</a></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L143">runtime.ts:143</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L143">runtime.ts:143</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
<section class="tsd-panel tsd-index-panel">
<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -94,99 +94,99 @@
<h4 class="tsd-returns-title">Returns <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></h4></li></ul></li></ul></li></ul></div>
<h4 class="tsd-returns-title">Returns <a href="_internal_.RuntimeContext.html" class="tsd-signature-type tsd-kind-class">RuntimeContext</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L165">runtime.ts:165</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L165">runtime.ts:165</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Properties</h2>
<section class="tsd-panel tsd-member"><a id="applyRepetitionPenalty" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>apply<wbr/>Repetition<wbr/>Penalty</span><a href="#applyRepetitionPenalty" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">apply<wbr/>Repetition<wbr/>Penalty</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L160">runtime.ts:160</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L160">runtime.ts:160</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="applySoftmaxWithTemperature" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>apply<wbr/>Softmax<wbr/>With<wbr/>Temperature</span><a href="#applySoftmaxWithTemperature" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">apply<wbr/>Softmax<wbr/>With<wbr/>Temperature</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L161">runtime.ts:161</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L161">runtime.ts:161</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="arrayCacheClear" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>array<wbr/>Cache<wbr/>Clear</span><a href="#arrayCacheClear" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">array<wbr/>Cache<wbr/>Clear</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L153">runtime.ts:153</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L153">runtime.ts:153</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="arrayCacheGet" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>array<wbr/>Cache<wbr/>Get</span><a href="#arrayCacheGet" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">array<wbr/>Cache<wbr/>Get</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L150">runtime.ts:150</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L150">runtime.ts:150</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="arrayCacheRemove" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>array<wbr/>Cache<wbr/>Remove</span><a href="#arrayCacheRemove" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">array<wbr/>Cache<wbr/>Remove</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L152">runtime.ts:152</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L152">runtime.ts:152</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="arrayCacheUpdate" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>array<wbr/>Cache<wbr/>Update</span><a href="#arrayCacheUpdate" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">array<wbr/>Cache<wbr/>Update</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L151">runtime.ts:151</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L151">runtime.ts:151</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="arrayDecodeStorage" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>array<wbr/>Decode<wbr/>Storage</span><a href="#arrayDecodeStorage" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">array<wbr/>Decode<wbr/>Storage</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L154">runtime.ts:154</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L154">runtime.ts:154</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="arrayGetItem" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>array<wbr/>Get<wbr/>Item</span><a href="#arrayGetItem" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">array<wbr/>Get<wbr/>Item</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L144">runtime.ts:144</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L144">runtime.ts:144</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="arrayGetSize" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>array<wbr/>Get<wbr/>Size</span><a href="#arrayGetSize" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">array<wbr/>Get<wbr/>Size</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L145">runtime.ts:145</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L145">runtime.ts:145</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="arrayMake" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>array<wbr/>Make</span><a href="#arrayMake" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">array<wbr/>Make</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L146">runtime.ts:146</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L146">runtime.ts:146</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="getFFIString" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>getFFIString</span><a href="#getFFIString" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">getFFIString</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L148">runtime.ts:148</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L148">runtime.ts:148</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="getSysLib" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get<wbr/>Sys<wbr/>Lib</span><a href="#getSysLib" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">get<wbr/>Sys<wbr/>Lib</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L149">runtime.ts:149</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L149">runtime.ts:149</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="makeShapeTuple" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>make<wbr/>Shape<wbr/>Tuple</span><a href="#makeShapeTuple" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">make<wbr/>Shape<wbr/>Tuple</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L157">runtime.ts:157</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L157">runtime.ts:157</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="ndarrayCreateView" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>ndarray<wbr/>Create<wbr/>View</span><a href="#ndarrayCreateView" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">ndarray<wbr/>Create<wbr/>View</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L158">runtime.ts:158</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L158">runtime.ts:158</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="paramModuleFromCache" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>param<wbr/>Module<wbr/>From<wbr/>Cache</span><a href="#paramModuleFromCache" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">param<wbr/>Module<wbr/>From<wbr/>Cache</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L155">runtime.ts:155</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L155">runtime.ts:155</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="paramModuleFromCacheByName" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>param<wbr/>Module<wbr/>From<wbr/>Cache<wbr/>By<wbr/>Name</span><a href="#paramModuleFromCacheByName" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">param<wbr/>Module<wbr/>From<wbr/>Cache<wbr/>By<wbr/>Name</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L156">runtime.ts:156</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L156">runtime.ts:156</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="sampleTopPFromLogits" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>sample<wbr/>TopPFrom<wbr/>Logits</span><a href="#sampleTopPFromLogits" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">sample<wbr/>TopPFrom<wbr/>Logits</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L159">runtime.ts:159</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L159">runtime.ts:159</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="stringMake" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>string<wbr/>Make</span><a href="#stringMake" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">string<wbr/>Make</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L147">runtime.ts:147</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L147">runtime.ts:147</a></li></ul></aside></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
<section class="tsd-panel tsd-member"><a id="attachToCurrentScope" class="tsd-anchor"></a>
@@ -216,7 +216,7 @@
The return value of PackedFunc will be automatically tracked.</p>
</div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L234">runtime.ts:234</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L234">runtime.ts:234</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="beginScope" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>begin<wbr/>Scope</span><a href="#beginScope" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -224,7 +224,7 @@
<li class="tsd-description">
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L208">runtime.ts:208</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L208">runtime.ts:208</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="detachFromCurrentScope" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>detach<wbr/>From<wbr/>Current<wbr/>Scope</span><a href="#detachFromCurrentScope" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -242,7 +242,7 @@
<h5><span class="tsd-kind-parameter">obj</span>: <span class="tsd-signature-type tsd-kind-type-parameter">T</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type tsd-kind-type-parameter">T</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L253">runtime.ts:253</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L253">runtime.ts:253</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>dispose</span><a href="#dispose" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -256,7 +256,7 @@ only the first call will take effect.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L186">runtime.ts:186</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L186">runtime.ts:186</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="endScope" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>end<wbr/>Scope</span><a href="#endScope" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
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@@ -264,7 +264,7 @@ only the first call will take effect.</p>
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<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/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/a86e41bcd/web/src/runtime.ts#L212">runtime.ts:212</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="moveToParentScope" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>move<wbr/>To<wbr/>Parent<wbr/>Scope</span><a href="#moveToParentScope" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
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@@ -282,7 +282,7 @@ only the first call will take effect.</p>
<h5><span class="tsd-kind-parameter">obj</span>: <span class="tsd-signature-type tsd-kind-type-parameter">T</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type tsd-kind-type-parameter">T</span></h4><aside class="tsd-sources">
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L243">runtime.ts:243</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L243">runtime.ts:243</a></li></ul></aside></li></ul></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/_internal_.TVMString.html b/docs/reference/api/typedoc/classes/_internal_.TVMString.html
index e93dbabf09..a1cf733601 100644
--- a/docs/reference/api/typedoc/classes/_internal_.TVMString.html
+++ b/docs/reference/api/typedoc/classes/_internal_.TVMString.html
@@ -27,7 +27,7 @@
<ul class="tsd-hierarchy">
<li><span class="target">TVMString</span></li></ul></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L886">runtime.ts:886</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L886">runtime.ts:886</a></li></ul></aside>
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<section class="tsd-panel tsd-index-panel">
<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -64,7 +64,7 @@
<h4 class="tsd-returns-title">Returns <a href="_internal_.TVMString.html" class="tsd-signature-type tsd-kind-class">TVMString</a></h4><aside class="tsd-sources">
<p>Overrides <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#constructor">constructor</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L887">runtime.ts:887</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L887">runtime.ts:887</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
<section class="tsd-panel tsd-member tsd-is-inherited"><a id="dispose" class="tsd-anchor"></a>
@@ -80,7 +80,7 @@ only the first call will take effect.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<p>Inherited from <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#dispose">dispose</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L791">runtime.ts:791</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L791">runtime.ts:791</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member tsd-is-inherited"><a id="getHandle" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get<wbr/>Handle</span><a href="#getHandle" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures tsd-is-inherited">
@@ -101,7 +101,7 @@ only the first call will take effect.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<p>Inherited from <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#getHandle">getHandle</a></p>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L806">runtime.ts:806</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L806">runtime.ts:806</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="toString" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>to<wbr/>String</span><a href="#toString" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -111,7 +111,7 @@ only the first call will take effect.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L898">runtime.ts:898</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L898">runtime.ts:898</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member tsd-is-inherited"><a id="typeIndex" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>type<wbr/>Index</span><a href="#typeIndex" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures tsd-is-inherited">
@@ -123,7 +123,7 @@ only the first call will take effect.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<p>Inherited from <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#typeIndex">typeIndex</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L814">runtime.ts:814</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L814">runtime.ts:814</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member tsd-is-inherited"><a id="typeKey" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>type<wbr/>Key</span><a href="#typeKey" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures tsd-is-inherited">
@@ -135,7 +135,7 @@ only the first call will take effect.</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<p>Inherited from <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#typeKey">typeKey</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L834">runtime.ts:834</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L834">runtime.ts:834</a></li></ul></aside></li></ul></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/_internal_.WebGPUContext.html b/docs/reference/api/typedoc/classes/_internal_.WebGPUContext.html
index aa0c5e55e2..3dc202de3b 100644
--- a/docs/reference/api/typedoc/classes/_internal_.WebGPUContext.html
+++ b/docs/reference/api/typedoc/classes/_internal_.WebGPUContext.html
@@ -26,7 +26,7 @@ Manages all the webgpu resources here.</p>
<ul class="tsd-hierarchy">
<li><span class="target">WebGPUContext</span></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/webgpu.ts#L335">webgpu.ts:335</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/webgpu.ts#L335">webgpu.ts:335</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">
@@ -70,19 +70,19 @@ Manages all the webgpu resources here.</p>
<h5><span class="tsd-kind-parameter">device</span>: <span class="tsd-signature-type ">GPUDevice</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <a href="_internal_.WebGPUContext.html" class="tsd-signature-type tsd-kind-class">WebGPUContext</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/webgpu.ts#L360">webgpu.ts:360</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/webgpu.ts#L360">webgpu.ts:360</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Properties</h2>
<section class="tsd-panel tsd-member"><a id="device" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>device</span><a href="#device" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">device</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type ">GPUDevice</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/webgpu.ts#L336">webgpu.ts:336</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/webgpu.ts#L336">webgpu.ts:336</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="memory" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>memory</span><a href="#memory" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">memory</span><span class="tsd-signature-symbol">:</span> <a href="_internal_.Memory.html" class="tsd-signature-type tsd-kind-class">Memory</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/webgpu.ts#L337">webgpu.ts:337</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/webgpu.ts#L337">webgpu.ts:337</a></li></ul></aside></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
<section class="tsd-panel tsd-member"><a id="bindCanvas" class="tsd-anchor"></a>
@@ -103,7 +103,7 @@ Manages all the webgpu resources here.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/webgpu.ts#L444">webgpu.ts:444</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/webgpu.ts#L444">webgpu.ts:444</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="clearCanvas" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>clear<wbr/>Canvas</span><a href="#clearCanvas" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -114,7 +114,7 @@ Manages all the webgpu resources here.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/webgpu.ts#L436">webgpu.ts:436</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/webgpu.ts#L436">webgpu.ts:436</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="copyRawBytesToBuffer" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>copy<wbr/>Raw<wbr/>Bytes<wbr/>To<wbr/>Buffer</span><a href="#copyRawBytesToBuffer" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -148,7 +148,7 @@ Manages all the webgpu resources here.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/webgpu.ts#L418">webgpu.ts:418</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/webgpu.ts#L418">webgpu.ts:418</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="createShader" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>create<wbr/>Shader</span><a href="#createShader" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -171,7 +171,7 @@ via createComputePipeline</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/webgpu.ts#L456">webgpu.ts:456</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/webgpu.ts#L456">webgpu.ts:456</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="createShaderAsync" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>create<wbr/>Shader<wbr/>Async</span><a href="#createShaderAsync" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -194,7 +194,7 @@ via createComputePipelineAsync</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/webgpu.ts#L468">webgpu.ts:468</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/webgpu.ts#L468">webgpu.ts:468</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>dispose</span><a href="#dispose" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -205,7 +205,7 @@ via createComputePipelineAsync</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/webgpu.ts#L368">webgpu.ts:368</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/webgpu.ts#L368">webgpu.ts:368</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="drawImageFromBuffer" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>draw<wbr/>Image<wbr/>From<wbr/>Buffer</span><a href="#drawImageFromBuffer" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -234,7 +234,7 @@ via createComputePipelineAsync</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/webgpu.ts#L403">webgpu.ts:403</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/webgpu.ts#L403">webgpu.ts:403</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="getDeviceAPI" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get<wbr/>DeviceAPI</span><a href="#getDeviceAPI" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -251,7 +251,7 @@ via createComputePipelineAsync</p>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/webgpu.ts#L724">webgpu.ts:724</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/webgpu.ts#L724">webgpu.ts:724</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="runtimeStatsText" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>runtime<wbr/>Stats<wbr/>Text</span><a href="#runtimeStatsText" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -262,7 +262,7 @@ via createComputePipelineAsync</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">string</span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/webgpu.ts#L390">webgpu.ts:390</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/webgpu.ts#L390">webgpu.ts:390</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="sync" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>sync</span><a href="#sync" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -273,7 +273,7 @@ via createComputePipelineAsync</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol"><</span><span class="tsd-signature-type">void</span><span class="tsd-signature-symbol">></span></h4>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/webgpu.ts#L383">webgpu.ts:383</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/webgpu.ts#L383">webgpu.ts:383</a></li></ul></aside></li></ul></section></section></div>
<div class="col-sidebar">
<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/enums/_internal_.RPCServerState.html b/docs/reference/api/typedoc/enums/_internal_.RPCServerState.html
index ee71c93fcb..aafd20c34b 100644
--- a/docs/reference/api/typedoc/enums/_internal_.RPCServerState.html
+++ b/docs/reference/api/typedoc/enums/_internal_.RPCServerState.html
@@ -17,7 +17,7 @@
<li><a href="_internal_.RPCServerState.html">RPCServerState</a></li></ul>
<h1>Enumeration RPCServerState</h1></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/rpc_server.ts#L27">rpc_server.ts:27</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/rpc_server.ts#L27">rpc_server.ts:27</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
<section class="tsd-panel tsd-index-panel">
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/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/a86e41bcd/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/a86e41bcd/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/a86e41bcd/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/a86e41bcd/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/a86e41bcd/web/src/rpc_server.ts#L31">rpc_server.ts:31</a></li></ul></aside></section></section></div>
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index 1337781fe5..bb4bb367ea 100644
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/support.ts#L52">support.ts:52</a></li></ul></aside></li></ul></section></div>
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diff --git a/docs/reference/api/typedoc/functions/createPolyfillWASI.html b/docs/reference/api/typedoc/functions/createPolyfillWASI.html
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/compact.ts#L55">compact.ts:55</a></li></ul></aside></li></ul></section></div>
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diff --git a/docs/reference/api/typedoc/functions/detectGPUDevice.html b/docs/reference/api/typedoc/functions/detectGPUDevice.html
index 63ace03019..8c855587f7 100644
--- a/docs/reference/api/typedoc/functions/detectGPUDevice.html
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/webgpu.ts#L36">webgpu.ts:36</a></li></ul></aside></li></ul></section></div>
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diff --git a/docs/reference/api/typedoc/functions/hasNDArrayInCache.html b/docs/reference/api/typedoc/functions/hasNDArrayInCache.html
index 1dc3c4300e..71f1a04768 100644
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L2417">runtime.ts:2417</a></li></ul></aside></li></ul></section></div>
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diff --git a/docs/reference/api/typedoc/functions/instantiate.html b/docs/reference/api/typedoc/functions/instantiate.html
index 9626976b51..16101c9714 100644
--- a/docs/reference/api/typedoc/functions/instantiate.html
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L2403">runtime.ts:2403</a></li></ul></aside></li></ul></section></div>
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diff --git a/docs/reference/api/typedoc/functions/wasmPath.html b/docs/reference/api/typedoc/functions/wasmPath.html
index fea881d71c..d81e5b571d 100644
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/support.ts#L62">support.ts:62</a></li></ul></aside></li></ul></section></div>
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diff --git a/docs/reference/api/typedoc/interfaces/Disposable.html b/docs/reference/api/typedoc/interfaces/Disposable.html
index 2e02618355..65e25b67c8 100644
--- a/docs/reference/api/typedoc/interfaces/Disposable.html
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/types.ts#L46">types.ts:46</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/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/a86e41bcd/web/src/types.ts#L52">types.ts:52</a></li></ul></aside></section></section></div>
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diff --git a/docs/reference/api/typedoc/interfaces/GPUDeviceDetectOutput.html b/docs/reference/api/typedoc/interfaces/GPUDeviceDetectOutput.html
index 3b0f22e5a9..57bc33eff2 100644
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/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/a86e41bcd/web/src/webgpu.ts#L28">webgpu.ts:28</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/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/a86e41bcd/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 daa271e556..2756b682a9 100644
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L976">runtime.ts:976</a></li></ul></aside>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L979">runtime.ts:979</a></li></ul></aside></section>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L977">runtime.ts:977</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L977">runtime.ts:977</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L980">runtime.ts:980</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L978">runtime.ts:978</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 dc85f99906..1944ea02bf 100644
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/types.ts#L32">types.ts:32</a></li></ul></aside>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/types.ts#L34">types.ts:34</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/types.ts#L39">types.ts:39</a></li></ul></aside></section></section></div>
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index 9b2fcbe64e..04d5f2ed5d 100644
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/webgpu.ts#L325">webgpu.ts:325</a></li></ul></aside>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/webgpu.ts#L327">webgpu.ts:327</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/webgpu.ts#L328">webgpu.ts:328</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/webgpu.ts#L326">webgpu.ts:326</a></li></ul></aside></section></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L960">runtime.ts:960</a></li></ul></aside>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L965">runtime.ts:965</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/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/7eb45ee5d/web/src/runtime.ts#L963">runtime.ts:963</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L963">runtime.ts:963</a></li></ul></aside></section>
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<h3 class="tsd-anchor-link"><span>format</span><a href="#format" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L964">runtime.ts:964</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L964">runtime.ts:964</a></li></ul></aside></section>
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<h3 class="tsd-anchor-link"><span>name</span><a href="#name" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L961">runtime.ts:961</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L961">runtime.ts:961</a></li></ul></aside></section>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L966">runtime.ts:966</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L966">runtime.ts:966</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L962">runtime.ts:962</a></li></ul></aside></section></section></div>
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diff --git a/docs/reference/api/typedoc/interfaces/_internal_.NDArrayShardEntry.html b/docs/reference/api/typedoc/interfaces/_internal_.NDArrayShardEntry.html
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L969">runtime.ts:969</a></li></ul></aside>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L970">runtime.ts:970</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L970">runtime.ts:970</a></li></ul></aside></section>
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<h3 class="tsd-anchor-link"><span>format</span><a href="#format" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L971">runtime.ts:971</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L971">runtime.ts:971</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="nbytes" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>nbytes</span><a href="#nbytes" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
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<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L972">runtime.ts:972</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L972">runtime.ts:972</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="records" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>records</span><a href="#records" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="#icon-anchor"></use></svg></a></h3>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L973">runtime.ts:973</a></li></ul></aside></section></section></div>
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diff --git a/docs/reference/api/typedoc/types/InitProgressCallback.html b/docs/reference/api/typedoc/types/InitProgressCallback.html
index 18ed1f440b..1a482493a1 100644
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L983">runtime.ts:983</a></li></ul></aside></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L983">runtime.ts:983</a></li></ul></aside></div>
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diff --git a/docs/reference/api/typedoc/types/PackedFunc.html b/docs/reference/api/typedoc/types/PackedFunc.html
index b73548855b..a043e73000 100644
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L36">runtime.ts:36</a></li></ul></aside></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L36">runtime.ts:36</a></li></ul></aside></div>
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diff --git a/docs/reference/api/typedoc/types/_internal_.FObjectConstructor.html b/docs/reference/api/typedoc/types/_internal_.FObjectConstructor.html
index 48f705e4b6..904cc20665 100644
--- a/docs/reference/api/typedoc/types/_internal_.FObjectConstructor.html
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L854">runtime.ts:854</a></li></ul></aside></div>
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<div class="tsd-navigation settings">
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/ctypes.ts#L194">ctypes.ts:194</a></li></ul></aside></div>
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diff --git a/docs/reference/api/typedoc/types/_internal_.FTVMWasmFreeSpace.html b/docs/reference/api/typedoc/types/_internal_.FTVMWasmFreeSpace.html
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/ctypes.ts#L197">ctypes.ts:197</a></li></ul></aside></div>
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diff --git a/docs/reference/api/typedoc/types/_internal_.FTVMWasmPackedCFunc.html b/docs/reference/api/typedoc/types/_internal_.FTVMWasmPackedCFunc.html
index d4ddba0004..1b152f8a96 100644
--- a/docs/reference/api/typedoc/types/_internal_.FTVMWasmPackedCFunc.html
+++ b/docs/reference/api/typedoc/types/_internal_.FTVMWasmPackedCFunc.html
@@ -46,7 +46,7 @@
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4>
<div class="tsd-comment tsd-typography"></div></li></ul></li></ul></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/ctypes.ts#L206">ctypes.ts:206</a></li></ul></aside></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/ctypes.ts#L206">ctypes.ts:206</a></li></ul></aside></div>
<div class="col-sidebar">
<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/types/_internal_.Pointer.html b/docs/reference/api/typedoc/types/_internal_.Pointer.html
index 5d0b75d563..553763b421 100644
--- a/docs/reference/api/typedoc/types/_internal_.Pointer.html
+++ b/docs/reference/api/typedoc/types/_internal_.Pointer.html
@@ -21,7 +21,7 @@
</div>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/ctypes.ts#L25">ctypes.ts:25</a></li></ul></aside></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/ctypes.ts#L25">ctypes.ts:25</a></li></ul></aside></div>
<div class="col-sidebar">
<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/types/_internal_.TVMObjectBase.html b/docs/reference/api/typedoc/types/_internal_.TVMObjectBase.html
index 27b806de98..53db180288 100644
--- a/docs/reference/api/typedoc/types/_internal_.TVMObjectBase.html
+++ b/docs/reference/api/typedoc/types/_internal_.TVMObjectBase.html
@@ -21,7 +21,7 @@
</div>
<div class="tsd-comment tsd-typography"></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/7eb45ee5d/web/src/runtime.ts#L857">runtime.ts:857</a></li></ul></aside></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/a86e41bcd/web/src/runtime.ts#L857">runtime.ts:857</a></li></ul></aside></div>
<div class="col-sidebar">
<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/searchindex.js b/docs/searchindex.js
index 880a72f570..8712ac56a3 100644
--- a/docs/searchindex.js
+++ b/docs/searchindex.js
@@ -1 +1 @@
-Search.setIndex({docnames:["arch/benchmark","arch/convert_layout","arch/debugger","arch/device_target_interactions","arch/frontend/tensorflow","arch/hybrid_script","arch/index","arch/inferbound","arch/introduction_to_module_serialization","arch/microtvm_design","arch/microtvm_project_api","arch/model_library_format","arch/pass_infra","arch/relay_intro","arch/relay_op_strategy","arch/runtime","arch/runtimes/vulkan","arch/security","arch/virtual_machine","contribute/ci","contribute/code_gu [...]
\ No newline at end of file
+Search.setIndex({docnames:["arch/benchmark","arch/convert_layout","arch/debugger","arch/device_target_interactions","arch/frontend/tensorflow","arch/hybrid_script","arch/index","arch/inferbound","arch/introduction_to_module_serialization","arch/microtvm_design","arch/microtvm_project_api","arch/model_library_format","arch/pass_infra","arch/relay_intro","arch/relay_op_strategy","arch/runtime","arch/runtimes/vulkan","arch/security","arch/virtual_machine","contribute/ci","contribute/code_gu [...]
\ No newline at end of file
diff --git a/docs/topic/vta/tutorials/autotvm/sg_execution_times.html b/docs/topic/vta/tutorials/autotvm/sg_execution_times.html
index 4dafa92b8b..30c9f43676 100644
--- a/docs/topic/vta/tutorials/autotvm/sg_execution_times.html
+++ b/docs/topic/vta/tutorials/autotvm/sg_execution_times.html
@@ -360,7 +360,7 @@
<div class="section" id="computation-times">
<span id="sphx-glr-topic-vta-tutorials-autotvm-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>00:36.156</strong> total execution time for <strong>topic_vta_tutorials_autotvm</strong> files:</p>
+<p><strong>00:34.691</strong> total execution time for <strong>topic_vta_tutorials_autotvm</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 82%" />
@@ -369,11 +369,11 @@
</colgroup>
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="tune_relay_vta.html#sphx-glr-topic-vta-tutorials-autotvm-tune-relay-vta-py"><span class="std std-ref">Auto-tuning a convolutional network on VTA</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_relay_vta.py</span></code>)</p></td>
-<td><p>00:36.148</p></td>
+<td><p>00:34.684</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="tune_alu_vta.html#sphx-glr-topic-vta-tutorials-autotvm-tune-alu-vta-py"><span class="std std-ref">Auto-tuning a ALU fused op on VTA</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_alu_vta.py</span></code>)</p></td>
-<td><p>00:00.008</p></td>
+<td><p>00:00.007</p></td>
<td><p>0.0 MB</p></td>
</tr>
</tbody>
diff --git a/docs/topic/vta/tutorials/frontend/deploy_classification.html b/docs/topic/vta/tutorials/frontend/deploy_classification.html
index 12664e1875..efa2519c64 100644
--- a/docs/topic/vta/tutorials/frontend/deploy_classification.html
+++ b/docs/topic/vta/tutorials/frontend/deploy_classification.html
@@ -603,7 +603,7 @@ and dense layer which will both be executed in fp32 on the CPU.</p></li>
warnings.warn(
/workspace/vta/tutorials/frontend/deploy_classification.py:212: DeprecationWarning: legacy graph executor behavior of producing json / lib / params will be removed in the next release. Please see documents of tvm.contrib.graph_executor.GraphModule for the new recommended usage.
graph, lib, params = relay.build(
-resnet18_v1 inference graph built in 38.72s!
+resnet18_v1 inference graph built in 36.73s!
</pre></div>
</div>
</div>
diff --git a/docs/topic/vta/tutorials/frontend/deploy_detection.html b/docs/topic/vta/tutorials/frontend/deploy_detection.html
index 193d2045a9..7888e162d4 100644
--- a/docs/topic/vta/tutorials/frontend/deploy_detection.html
+++ b/docs/topic/vta/tutorials/frontend/deploy_detection.html
@@ -621,7 +621,7 @@ and dense layer which will both be executed in fp32 on the CPU.</p></li>
</div>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/workspace/python/tvm/relay/build_module.py:345: DeprecationWarning: Please use input parameter mod (tvm.IRModule) instead of deprecated parameter mod (tvm.relay.function.Function)
warnings.warn(
-yolov3-tiny inference graph built in 26.34s!
+yolov3-tiny inference graph built in 25.19s!
</pre></div>
</div>
</div>
diff --git a/docs/topic/vta/tutorials/frontend/sg_execution_times.html b/docs/topic/vta/tutorials/frontend/sg_execution_times.html
index 18a207b8f3..665535b5c1 100644
--- a/docs/topic/vta/tutorials/frontend/sg_execution_times.html
+++ b/docs/topic/vta/tutorials/frontend/sg_execution_times.html
@@ -360,7 +360,7 @@
<div class="section" id="computation-times">
<span id="sphx-glr-topic-vta-tutorials-frontend-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>01:59.350</strong> total execution time for <strong>topic_vta_tutorials_frontend</strong> files:</p>
+<p><strong>01:55.130</strong> total execution time for <strong>topic_vta_tutorials_frontend</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 84%" />
@@ -368,12 +368,12 @@
<col style="width: 7%" />
</colgroup>
<tbody>
-<tr class="row-odd"><td><p><a class="reference internal" href="deploy_classification.html#sphx-glr-topic-vta-tutorials-frontend-deploy-classification-py"><span class="std std-ref">Deploy Pretrained Vision Model from MxNet on VTA</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_classification.py</span></code>)</p></td>
-<td><p>00:59.686</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="deploy_detection.html#sphx-glr-topic-vta-tutorials-frontend-deploy-detection-py"><span class="std std-ref">Deploy Pretrained Vision Detection Model from Darknet on VTA</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_detection.py</span></code>)</p></td>
+<td><p>00:57.850</p></td>
<td><p>0.0 MB</p></td>
</tr>
-<tr class="row-even"><td><p><a class="reference internal" href="deploy_detection.html#sphx-glr-topic-vta-tutorials-frontend-deploy-detection-py"><span class="std std-ref">Deploy Pretrained Vision Detection Model from Darknet on VTA</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_detection.py</span></code>)</p></td>
-<td><p>00:59.664</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="deploy_classification.html#sphx-glr-topic-vta-tutorials-frontend-deploy-classification-py"><span class="std std-ref">Deploy Pretrained Vision Model from MxNet on VTA</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_classification.py</span></code>)</p></td>
+<td><p>00:57.280</p></td>
<td><p>0.0 MB</p></td>
</tr>
</tbody>
diff --git a/docs/topic/vta/tutorials/optimize/sg_execution_times.html b/docs/topic/vta/tutorials/optimize/sg_execution_times.html
index 3050abb01c..bec1fff079 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>00:03.383</strong> total execution time for <strong>topic_vta_tutorials_optimize</strong> files:</p>
+<p><strong>00:03.280</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>00:02.863</p></td>
+<td><p>00:02.781</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>00:00.520</p></td>
+<td><p>00:00.499</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 40f44208fd..b024f339e6 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>00:00.857</strong> total execution time for <strong>topic_vta_tutorials</strong> files:</p>
+<p><strong>00:00.837</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>00:00.443</p></td>
+<td><p>00:00.430</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>00:00.414</p></td>
+<td><p>00:00.406</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 c7d3454806..51d0e0064e 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: 95.747 ms
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Execution time of this operator: 94.026 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 20.766 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 24.345 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 e972dbca1a..9f9ce04981 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: 1.03/1.03 result: MeasureResult(costs=(0.2614131618,), error_no=MeasureErrorNo.NO_ERROR, all_cost=4.456237316131592, timestamp=1706080303.317918) [('tile_y', [-1, 32]), ('tile_x', [-1, 2])],None,15
-No: 2 GFLOPS: 0.50/1.03 result: MeasureResult(costs=(0.5376759668,), error_no=MeasureErrorNo.NO_ERROR, all_cost=8.874134540557861, timestamp=1706080312.1919332) [('tile_y', [-1, 32]), ('tile_x', [-1, 1])],None,5
-No: 3 GFLOPS: 1.52/1.52 result: MeasureResult(costs=(0.1771407002,), error_no=MeasureErrorNo.NO_ERROR, all_cost=3.067423105239868, timestamp=1706080315.286522) [('tile_y', [-1, 1]), ('tile_x', [-1, 1])],None,0
-No: 4 GFLOPS: 10.43/10.43 result: MeasureResult(costs=(0.025727178,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6735575199127197, timestamp=1706080315.9580333) [('tile_y', [-1, 4]), ('tile_x', [-1, 64])],None,62
-No: 5 GFLOPS: 1.98/10.43 result: MeasureResult(costs=(0.1354929692,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.4150900840759277, timestamp=1706080318.498093) [('tile_y', [-1, 8]), ('tile_x', [-1, 1])],None,3
-No: 6 GFLOPS: 3.44/10.43 result: MeasureResult(costs=(0.07814346900000001,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.5155627727508545, timestamp=1706080320.015694) [('tile_y', [-1, 512]), ('tile_x', [-1, 8])],None,39
-No: 7 GFLOPS: 8.00/10.43 result: MeasureResult(costs=(0.0335737542,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7880275249481201, timestamp=1706080320.8148987) [('tile_y', [-1, 1]), ('tile_x', [-1, 8])],None,30
-No: 8 GFLOPS: 3.65/10.43 result: MeasureResult(costs=(0.07359829120000001,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.4393582344055176, timestamp=1706080322.2500675) [('tile_y', [-1, 128]), ('tile_x', [-1, 8])],None,37
-No: 9 GFLOPS: 11.07/11.07 result: MeasureResult(costs=(0.0242546058,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6384038925170898, timestamp=1706080322.9988668) [('tile_y', [-1, 128]), ('tile_x', [-1, 256])],None,87
-No: 10 GFLOPS: 10.22/11.07 result: MeasureResult(costs=(0.0262538288,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6503252983093262, timestamp=1706080323.6807156) [('tile_y', [-1, 2]), ('tile_x', [-1, 64])],None,61
+No: 1 GFLOPS: 8.86/8.86 result: MeasureResult(costs=(0.030303070000000005,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7609262466430664, timestamp=1706124138.9349732) [('tile_y', [-1, 256]), ('tile_x', [-1, 16])],None,48
+No: 2 GFLOPS: 10.29/10.29 result: MeasureResult(costs=(0.0260961502,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7297794818878174, timestamp=1706124139.612983) [('tile_y', [-1, 4]), ('tile_x', [-1, 128])],None,72
+No: 3 GFLOPS: 11.69/11.69 result: MeasureResult(costs=(0.0229597784,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6188881397247314, timestamp=1706124140.2418802) [('tile_y', [-1, 128]), ('tile_x', [-1, 512])],None,97
+No: 4 GFLOPS: 9.70/11.69 result: MeasureResult(costs=(0.027681527,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.711867094039917, timestamp=1706124140.9443858) [('tile_y', [-1, 8]), ('tile_x', [-1, 4])],None,23
+No: 5 GFLOPS: 12.67/12.67 result: MeasureResult(costs=(0.0211803324,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7192549705505371, timestamp=1706124141.8059738) [('tile_y', [-1, 256]), ('tile_x', [-1, 128])],None,78
+No: 6 GFLOPS: 1.02/12.67 result: MeasureResult(costs=(0.2625723646,), error_no=MeasureErrorNo.NO_ERROR, all_cost=4.454614639282227, timestamp=1706124146.264766) [('tile_y', [-1, 256]), ('tile_x', [-1, 2])],None,18
+No: 7 GFLOPS: 9.29/12.67 result: MeasureResult(costs=(0.0288972298,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.8758776187896729, timestamp=1706124146.9921706) [('tile_y', [-1, 2]), ('tile_x', [-1, 128])],None,71
+No: 8 GFLOPS: 1.85/12.67 result: MeasureResult(costs=(0.1452645234,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.5733234882354736, timestamp=1706124149.5710547) [('tile_y', [-1, 4]), ('tile_x', [-1, 1])],None,2
+No: 9 GFLOPS: 12.12/12.67 result: MeasureResult(costs=(0.022142588,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.5821785926818848, timestamp=1706124150.2973776) [('tile_y', [-1, 16]), ('tile_x', [-1, 16])],None,44
+No: 10 GFLOPS: 12.86/12.86 result: MeasureResult(costs=(0.020876576,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6023285388946533, timestamp=1706124150.8937674) [('tile_y', [-1, 128]), ('tile_x', [-1, 128])],None,77
</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 2dfa3599b6..d2fc0e5c1d 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': 494.5829668899989, 'median': 494.5038646499995, 'std': 1.1535267186212477}
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>{'mean': 497.74627236000924, 'median': 497.2623973500049, 'std': 2.7403150565333325}
</pre></div>
</div>
</div>
@@ -767,179 +767,178 @@ depending on the specifics of the model and the target platform.</p>
</pre></div>
</div>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>[Task 1/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 1/25] Current/Best: 13.76/ 13.84 GFLOPS | Progress: (4/20) | 8.28 s
-[Task 1/25] Current/Best: 9.26/ 17.49 GFLOPS | Progress: (8/20) | 16.21 s
-[Task 1/25] Current/Best: 13.20/ 17.49 GFLOPS | Progress: (12/20) | 18.84 s
-[Task 1/25] Current/Best: 6.87/ 20.09 GFLOPS | Progress: (16/20) | 22.11 s
-[Task 1/25] Current/Best: 12.41/ 20.09 GFLOPS | Progress: (20/20) | 25.68 s Done.
+[Task 1/25] Current/Best: 12.92/ 12.92 GFLOPS | Progress: (4/20) | 8.13 s
+[Task 1/25] Current/Best: 12.08/ 17.91 GFLOPS | Progress: (8/20) | 11.75 s
+[Task 1/25] Current/Best: 12.65/ 21.32 GFLOPS | Progress: (12/20) | 14.80 s
+[Task 1/25] Current/Best: 12.02/ 21.32 GFLOPS | Progress: (16/20) | 17.83 s
+[Task 1/25] Current/Best: 6.11/ 21.32 GFLOPS | Progress: (20/20) | 20.59 s Done.
[Task 2/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 2/25] Current/Best: 16.84/ 21.19 GFLOPS | Progress: (4/20) | 3.97 s
-[Task 2/25] Current/Best: 6.66/ 21.19 GFLOPS | Progress: (8/20) | 5.41 s
-[Task 2/25] Current/Best: 7.00/ 21.19 GFLOPS | Progress: (12/20) | 8.16 s
-[Task 2/25] Current/Best: 13.17/ 21.57 GFLOPS | Progress: (16/20) | 9.70 s
-[Task 2/25] Current/Best: 6.92/ 21.57 GFLOPS | Progress: (20/20) | 11.39 s Done.
+[Task 2/25] Current/Best: 13.84/ 14.21 GFLOPS | Progress: (4/20) | 4.36 s
+[Task 2/25] Current/Best: 13.83/ 14.21 GFLOPS | Progress: (8/20) | 6.45 s
+[Task 2/25] Current/Best: 15.42/ 17.92 GFLOPS | Progress: (12/20) | 7.90 s
+[Task 2/25] Current/Best: 13.09/ 17.92 GFLOPS | Progress: (16/20) | 9.38 s
+[Task 2/25] Current/Best: 14.36/ 17.92 GFLOPS | Progress: (20/20) | 11.17 s Done.
[Task 3/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 3/25] Current/Best: 13.27/ 21.70 GFLOPS | Progress: (4/20) | 4.65 s
-[Task 3/25] Current/Best: 22.41/ 22.41 GFLOPS | Progress: (8/20) | 6.85 s
-[Task 3/25] Current/Best: 20.44/ 22.41 GFLOPS | Progress: (12/20) | 10.76 s
-[Task 3/25] Current/Best: 9.46/ 22.41 GFLOPS | Progress: (16/20) | 14.18 s
-[Task 3/25] Current/Best: 6.37/ 22.41 GFLOPS | Progress: (20/20) | 17.02 s Done.
+[Task 3/25] Current/Best: 3.12/ 19.50 GFLOPS | Progress: (4/20) | 5.95 s
+[Task 3/25] Current/Best: 11.43/ 22.73 GFLOPS | Progress: (8/20) | 8.51 s
+[Task 3/25] Current/Best: 10.21/ 24.07 GFLOPS | Progress: (12/20) | 10.96 s
+[Task 3/25] Current/Best: 20.36/ 24.07 GFLOPS | Progress: (16/20) | 13.35 s
+[Task 3/25] Current/Best: 13.95/ 24.07 GFLOPS | Progress: (20/20) | 17.09 s Done.
[Task 4/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 4/25] Current/Best: 14.54/ 15.66 GFLOPS | Progress: (4/20) | 4.47 s
-[Task 4/25] Current/Best: 7.27/ 18.35 GFLOPS | Progress: (8/20) | 6.31 s
-[Task 4/25] Current/Best: 13.88/ 19.77 GFLOPS | Progress: (12/20) | 8.37 s
-[Task 4/25] Current/Best: 8.85/ 19.83 GFLOPS | Progress: (16/20) | 12.67 s
-[Task 4/25] Current/Best: 13.24/ 19.83 GFLOPS | Progress: (20/20) | 15.74 s Done.
+[Task 4/25] Current/Best: 6.75/ 14.92 GFLOPS | Progress: (4/20) | 4.24 s
+[Task 4/25] Current/Best: 12.91/ 18.30 GFLOPS | Progress: (8/20) | 6.73 s
+[Task 4/25] Current/Best: 10.00/ 18.32 GFLOPS | Progress: (12/20) | 9.42 s
+[Task 4/25] Current/Best: 13.03/ 18.32 GFLOPS | Progress: (16/20) | 11.28 s
+[Task 4/25] Current/Best: 10.16/ 18.32 GFLOPS | Progress: (20/20) | 14.46 s Done.
[Task 5/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 5/25] Current/Best: 14.98/ 14.98 GFLOPS | Progress: (4/20) | 4.23 s
-[Task 5/25] Current/Best: 15.77/ 17.89 GFLOPS | Progress: (8/20) | 6.11 s
-[Task 5/25] Current/Best: 8.31/ 17.89 GFLOPS | Progress: (12/20) | 8.23 s
-[Task 5/25] Current/Best: 22.32/ 22.32 GFLOPS | Progress: (16/20) | 9.97 s
-[Task 5/25] Current/Best: 12.21/ 22.32 GFLOPS | Progress: (20/20) | 12.29 s Done.
+[Task 5/25] Current/Best: 15.06/ 15.22 GFLOPS | Progress: (4/20) | 4.93 s
+[Task 5/25] Current/Best: 14.33/ 17.57 GFLOPS | Progress: (8/20) | 6.89 s
+[Task 5/25] Current/Best: 10.66/ 17.57 GFLOPS | Progress: (12/20) | 9.61 s
+[Task 5/25] Current/Best: 14.05/ 18.80 GFLOPS | Progress: (16/20) | 11.80 s
+[Task 5/25] Current/Best: 4.04/ 20.68 GFLOPS | Progress: (20/20) | 14.03 s Done.
[Task 6/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 6/25] Current/Best: 17.66/ 19.02 GFLOPS | Progress: (4/20) | 4.61 s
-[Task 6/25] Current/Best: 5.42/ 19.02 GFLOPS | Progress: (8/20) | 7.49 s
-[Task 6/25] Current/Best: 4.14/ 19.02 GFLOPS | Progress: (12/20) | 12.76 s
-[Task 6/25] Current/Best: 14.26/ 19.02 GFLOPS | Progress: (16/20) | 16.30 s
-[Task 6/25] Current/Best: 14.94/ 20.77 GFLOPS | Progress: (20/20) | 18.84 s Done.
+[Task 6/25] Current/Best: 18.11/ 18.11 GFLOPS | Progress: (4/20) | 4.72 s
+[Task 6/25] Current/Best: 7.61/ 18.11 GFLOPS | Progress: (8/20) | 7.26 s
+[Task 6/25] Current/Best: 8.48/ 21.08 GFLOPS | Progress: (12/20) | 9.21 s
+[Task 6/25] Current/Best: 5.32/ 21.08 GFLOPS | Progress: (16/20) | 12.40 s
+[Task 6/25] Current/Best: 15.37/ 21.08 GFLOPS | Progress: (20/20) | 14.85 s Done.
[Task 7/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 7/25] Current/Best: 13.81/ 18.09 GFLOPS | Progress: (4/20) | 4.74 s
-[Task 7/25] Current/Best: 7.79/ 18.09 GFLOPS | Progress: (8/20) | 7.48 s
-[Task 7/25] Current/Best: 6.13/ 19.91 GFLOPS | Progress: (12/20) | 10.06 s
-[Task 7/25] Current/Best: 19.32/ 19.91 GFLOPS | Progress: (16/20) | 13.17 s
-[Task 7/25] Current/Best: 19.36/ 19.91 GFLOPS | Progress: (20/20) | 15.46 s Done.
+[Task 7/25] Current/Best: 12.12/ 22.46 GFLOPS | Progress: (4/20) | 4.61 s
+[Task 7/25] Current/Best: 18.52/ 22.46 GFLOPS | Progress: (8/20) | 6.82 s
+[Task 7/25] Current/Best: 20.97/ 22.46 GFLOPS | Progress: (12/20) | 9.13 s
+[Task 7/25] Current/Best: 11.81/ 22.46 GFLOPS | Progress: (16/20) | 11.65 s
+[Task 7/25] Current/Best: 18.79/ 22.46 GFLOPS | Progress: (20/20) | 14.09 s Done.
[Task 8/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 8/25] Current/Best: 7.45/ 15.71 GFLOPS | Progress: (4/20) | 14.54 s
-[Task 8/25] Current/Best: 13.37/ 17.32 GFLOPS | Progress: (8/20) | 19.34 s
-[Task 8/25] Current/Best: 10.16/ 17.48 GFLOPS | Progress: (12/20) | 23.22 s
-[Task 8/25] Current/Best: 14.22/ 17.48 GFLOPS | Progress: (16/20) | 27.28 s
-[Task 8/25] Current/Best: 11.31/ 17.48 GFLOPS | Progress: (20/20) | 30.23 s Done.
+[Task 8/25] Current/Best: 12.06/ 14.32 GFLOPS | Progress: (4/20) | 6.26 s
+[Task 8/25] Current/Best: 7.78/ 14.32 GFLOPS | Progress: (8/20) | 9.13 s
+[Task 8/25] Current/Best: 5.32/ 14.32 GFLOPS | Progress: (12/20) | 12.41 s
+[Task 8/25] Current/Best: 14.34/ 18.79 GFLOPS | Progress: (16/20) | 17.05 s
+[Task 8/25] Current/Best: 16.84/ 18.79 GFLOPS | Progress: (20/20) | 19.77 s Done.
[Task 9/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 9/25] Current/Best: 9.25/ 10.91 GFLOPS | Progress: (4/20) | 8.16 s
-[Task 9/25] Current/Best: 7.55/ 11.33 GFLOPS | Progress: (8/20) | 14.74 s
-[Task 9/25] Current/Best: 7.64/ 22.83 GFLOPS | Progress: (12/20) | 25.88 s
-[Task 9/25] Current/Best: 10.46/ 22.83 GFLOPS | Progress: (16/20) | 29.02 s
-[Task 9/25] Current/Best: 19.02/ 22.83 GFLOPS | Progress: (20/20) | 34.03 s
+[Task 9/25] Current/Best: 6.45/ 19.54 GFLOPS | Progress: (4/20) | 4.24 s
+[Task 9/25] Current/Best: 22.22/ 22.22 GFLOPS | Progress: (8/20) | 7.27 s
+[Task 9/25] Current/Best: 12.37/ 22.22 GFLOPS | Progress: (12/20) | 12.81 s
+[Task 9/25] Current/Best: 15.51/ 22.22 GFLOPS | Progress: (16/20) | 23.95 s
+[Task 9/25] Current/Best: 15.65/ 22.22 GFLOPS | Progress: (20/20) | 35.03 s
[Task 10/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 10/25] Current/Best: 6.60/ 13.36 GFLOPS | Progress: (4/20) | 4.80 s
-[Task 10/25] Current/Best: 14.50/ 14.79 GFLOPS | Progress: (8/20) | 8.74 s
-[Task 10/25] Current/Best: 9.80/ 17.03 GFLOPS | Progress: (12/20) | 11.98 s
-[Task 10/25] Current/Best: 14.07/ 17.03 GFLOPS | Progress: (16/20) | 14.58 s
-[Task 10/25] Current/Best: 1.61/ 17.03 GFLOPS | Progress: (20/20) | 17.65 s Done.
+[Task 10/25] Current/Best: 4.74/ 18.58 GFLOPS | Progress: (4/20) | 5.15 s
+[Task 10/25] Current/Best: 8.54/ 18.58 GFLOPS | Progress: (8/20) | 7.10 s
+[Task 10/25] Current/Best: 5.31/ 18.58 GFLOPS | Progress: (12/20) | 9.38 s
+[Task 10/25] Current/Best: 12.18/ 18.58 GFLOPS | Progress: (16/20) | 11.42 s
+[Task 10/25] Current/Best: 18.09/ 18.58 GFLOPS | Progress: (20/20) | 13.04 s Done.
[Task 11/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 11/25] Current/Best: 17.14/ 17.93 GFLOPS | Progress: (4/20) | 5.14 s
-[Task 11/25] Current/Best: 12.10/ 17.93 GFLOPS | Progress: (8/20) | 7.40 s
-[Task 11/25] Current/Best: 16.06/ 21.14 GFLOPS | Progress: (12/20) | 9.57 s
-[Task 11/25] Current/Best: 12.34/ 22.91 GFLOPS | Progress: (16/20) | 11.89 s
-[Task 11/25] Current/Best: 11.50/ 22.91 GFLOPS | Progress: (20/20) | 15.40 s Done.
+[Task 11/25] Current/Best: 20.16/ 20.20 GFLOPS | Progress: (4/20) | 4.49 s
+[Task 11/25] Current/Best: 10.13/ 24.27 GFLOPS | Progress: (8/20) | 7.21 s
+[Task 11/25] Current/Best: 9.71/ 24.27 GFLOPS | Progress: (12/20) | 9.42 s
+[Task 11/25] Current/Best: 10.96/ 24.27 GFLOPS | Progress: (16/20) | 11.89 s
+[Task 11/25] Current/Best: 11.44/ 24.27 GFLOPS | Progress: (20/20) | 14.92 s Done.
[Task 12/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 12/25] Current/Best: 14.56/ 16.52 GFLOPS | Progress: (4/20) | 4.75 s
-[Task 12/25] Current/Best: 11.95/ 18.45 GFLOPS | Progress: (8/20) | 7.37 s
-[Task 12/25] Current/Best: 13.25/ 18.45 GFLOPS | Progress: (12/20) | 9.98 s
-[Task 12/25] Current/Best: 15.01/ 18.45 GFLOPS | Progress: (16/20) | 12.45 s
-[Task 12/25] Current/Best: 1.62/ 18.62 GFLOPS | Progress: (20/20) | 15.52 s Done.
+[Task 12/25] Current/Best: 17.88/ 17.88 GFLOPS | Progress: (4/20) | 11.31 s
+[Task 12/25] Current/Best: 12.80/ 17.88 GFLOPS | Progress: (8/20) | 15.22 s
+[Task 12/25] Current/Best: 13.98/ 17.88 GFLOPS | Progress: (12/20) | 17.44 s
+[Task 12/25] Current/Best: 10.15/ 18.75 GFLOPS | Progress: (16/20) | 19.67 s
+[Task 12/25] Current/Best: 12.31/ 18.75 GFLOPS | Progress: (20/20) | 21.78 s Done.
[Task 13/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 13/25] Current/Best: 3.11/ 20.69 GFLOPS | Progress: (4/20) | 6.50 s
-[Task 13/25] Current/Best: 1.56/ 20.69 GFLOPS | Progress: (8/20) | 11.83 s
-[Task 13/25] Current/Best: 4.51/ 20.69 GFLOPS | Progress: (12/20) | 16.03 s
-[Task 13/25] Current/Best: 18.14/ 20.69 GFLOPS | Progress: (16/20) | 18.67 s
-[Task 13/25] Current/Best: 21.53/ 21.53 GFLOPS | Progress: (20/20) | 21.01 s Done.
+[Task 13/25] Current/Best: 12.24/ 17.96 GFLOPS | Progress: (4/20) | 6.11 s
+[Task 13/25] Current/Best: 8.45/ 17.96 GFLOPS | Progress: (8/20) | 10.10 s
+[Task 13/25] Current/Best: 17.80/ 17.96 GFLOPS | Progress: (12/20) | 12.53 s
+[Task 13/25] Current/Best: 12.18/ 17.96 GFLOPS | Progress: (16/20) | 16.04 s
+[Task 13/25] Current/Best: 7.98/ 19.33 GFLOPS | Progress: (20/20) | 19.24 s Done.
[Task 14/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 14/25] Current/Best: 7.42/ 16.15 GFLOPS | Progress: (4/20) | 9.27 s
-[Task 14/25] Current/Best: 13.38/ 16.15 GFLOPS | Progress: (8/20) | 21.88 s
-[Task 14/25] Current/Best: 13.68/ 16.15 GFLOPS | Progress: (12/20) | 25.05 s
-[Task 14/25] Current/Best: 13.15/ 21.53 GFLOPS | Progress: (16/20) | 27.71 s
-[Task 14/25] Current/Best: 11.15/ 21.53 GFLOPS | Progress: (20/20) | 39.30 s Done.
+[Task 14/25] Current/Best: 2.85/ 13.61 GFLOPS | Progress: (4/20) | 14.55 s
+[Task 14/25] Current/Best: 11.16/ 15.11 GFLOPS | Progress: (8/20) | 26.04 s Done.
+
+[Task 14/25] Current/Best: 14.04/ 18.31 GFLOPS | Progress: (12/20) | 29.36 s
+[Task 14/25] Current/Best: 8.28/ 18.31 GFLOPS | Progress: (16/20) | 33.86 s
+[Task 14/25] Current/Best: 16.39/ 18.31 GFLOPS | Progress: (20/20) | 39.82 s Done.
[Task 15/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 15/25] Current/Best: 10.69/ 20.38 GFLOPS | Progress: (4/20) | 4.55 s
-[Task 15/25] Current/Best: 9.51/ 20.38 GFLOPS | Progress: (8/20) | 7.57 s
-[Task 15/25] Current/Best: 19.27/ 20.38 GFLOPS | Progress: (12/20) | 16.49 s
-[Task 15/25] Current/Best: 4.97/ 20.72 GFLOPS | Progress: (16/20) | 18.37 s
-[Task 15/25] Current/Best: 17.11/ 22.24 GFLOPS | Progress: (20/20) | 20.00 s Done.
+[Task 15/25] Current/Best: 6.51/ 18.32 GFLOPS | Progress: (4/20) | 4.44 s
+[Task 15/25] Current/Best: 12.74/ 19.40 GFLOPS | Progress: (8/20) | 7.23 s
+[Task 15/25] Current/Best: 17.54/ 19.40 GFLOPS | Progress: (12/20) | 15.01 s
+[Task 15/25] Current/Best: 12.53/ 19.40 GFLOPS | Progress: (16/20) | 17.90 s
+[Task 15/25] Current/Best: 17.44/ 22.33 GFLOPS | Progress: (20/20) | 19.52 s Done.
[Task 16/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 16/25] Current/Best: 5.99/ 17.59 GFLOPS | Progress: (4/20) | 5.06 s
-[Task 16/25] Current/Best: 6.64/ 17.59 GFLOPS | Progress: (8/20) | 7.40 s
-[Task 16/25] Current/Best: 18.64/ 18.64 GFLOPS | Progress: (12/20) | 11.10 s
-[Task 16/25] Current/Best: 8.03/ 18.64 GFLOPS | Progress: (16/20) | 13.55 s
-[Task 16/25] Current/Best: 17.55/ 18.64 GFLOPS | Progress: (20/20) | 16.41 s Done.
+[Task 16/25] Current/Best: 11.78/ 14.37 GFLOPS | Progress: (4/20) | 5.78 s
+[Task 16/25] Current/Best: 20.01/ 20.01 GFLOPS | Progress: (8/20) | 8.10 s
+[Task 16/25] Current/Best: 9.19/ 20.01 GFLOPS | Progress: (12/20) | 10.15 s
+[Task 16/25] Current/Best: 9.21/ 20.01 GFLOPS | Progress: (16/20) | 12.15 s
+[Task 16/25] Current/Best: 13.83/ 21.21 GFLOPS | Progress: (20/20) | 13.86 s Done.
[Task 17/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 17/25] Current/Best: 17.41/ 17.41 GFLOPS | Progress: (4/20) | 4.81 s
-[Task 17/25] Current/Best: 5.22/ 20.94 GFLOPS | Progress: (8/20) | 8.16 s
-[Task 17/25] Current/Best: 10.39/ 22.95 GFLOPS | Progress: (12/20) | 10.23 s
-[Task 17/25] Current/Best: 4.58/ 22.95 GFLOPS | Progress: (16/20) | 13.38 s
-[Task 17/25] Current/Best: 1.56/ 22.95 GFLOPS | Progress: (20/20) | 17.44 s Done.
+[Task 17/25] Current/Best: 22.53/ 22.53 GFLOPS | Progress: (4/20) | 4.73 s
+[Task 17/25] Current/Best: 11.44/ 22.53 GFLOPS | Progress: (8/20) | 7.82 s
+[Task 17/25] Current/Best: 12.28/ 22.53 GFLOPS | Progress: (12/20) | 12.24 s
+[Task 17/25] Current/Best: 9.55/ 22.53 GFLOPS | Progress: (16/20) | 15.13 s
+[Task 17/25] Current/Best: 11.85/ 22.53 GFLOPS | Progress: (20/20) | 18.67 s Done.
[Task 18/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 18/25] Current/Best: 9.92/ 16.33 GFLOPS | Progress: (4/20) | 8.93 s
-[Task 18/25] Current/Best: 12.90/ 21.53 GFLOPS | Progress: (8/20) | 11.19 s
-[Task 18/25] Current/Best: 17.14/ 21.53 GFLOPS | Progress: (12/20) | 13.88 s
-[Task 18/25] Current/Best: 7.52/ 21.53 GFLOPS | Progress: (16/20) | 19.58 s
-[Task 18/25] Current/Best: 6.95/ 21.53 GFLOPS | Progress: (20/20) | 26.07 s Done.
+[Task 18/25] Current/Best: 10.25/ 14.65 GFLOPS | Progress: (4/20) | 5.66 s
+[Task 18/25] Current/Best: 13.93/ 20.41 GFLOPS | Progress: (8/20) | 11.26 s
+[Task 18/25] Current/Best: 3.07/ 20.41 GFLOPS | Progress: (12/20) | 14.48 s
+[Task 18/25] Current/Best: 9.24/ 20.41 GFLOPS | Progress: (16/20) | 17.38 s
+[Task 18/25] Current/Best: 18.73/ 20.41 GFLOPS | Progress: (20/20) | 19.55 s Done.
[Task 19/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 19/25] Current/Best: 7.70/ 12.06 GFLOPS | Progress: (4/20) | 6.84 s
-[Task 19/25] Current/Best: 8.01/ 15.87 GFLOPS | Progress: (8/20) | 12.67 s
-[Task 19/25] Current/Best: 4.82/ 20.73 GFLOPS | Progress: (12/20) | 15.34 s
-[Task 19/25] Current/Best: 13.76/ 22.11 GFLOPS | Progress: (16/20) | 18.71 s
-[Task 19/25] Current/Best: 6.99/ 22.11 GFLOPS | Progress: (20/20) | 22.36 s Done.
+[Task 19/25] Current/Best: 16.27/ 19.10 GFLOPS | Progress: (4/20) | 5.43 s
+[Task 19/25] Current/Best: 10.86/ 19.10 GFLOPS | Progress: (8/20) | 10.17 s
+[Task 19/25] Current/Best: 17.88/ 21.37 GFLOPS | Progress: (12/20) | 12.92 s
+[Task 19/25] Current/Best: 19.98/ 21.37 GFLOPS | Progress: (16/20) | 16.44 s
+[Task 19/25] Current/Best: 12.79/ 21.37 GFLOPS | Progress: (20/20) | 21.22 s Done.
[Task 20/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 20/25] Current/Best: 2.69/ 15.56 GFLOPS | Progress: (4/20) | 14.83 s
-[Task 20/25] Current/Best: 13.53/ 20.15 GFLOPS | Progress: (8/20) | 18.20 s
-[Task 20/25] Current/Best: 17.00/ 20.15 GFLOPS | Progress: (12/20) | 29.65 s Done.
-
-[Task 20/25] Current/Best: 9.13/ 20.15 GFLOPS | Progress: (16/20) | 36.83 s
-[Task 20/25] Current/Best: 14.88/ 20.15 GFLOPS | Progress: (20/20) | 39.04 s Done.
-
+[Task 20/25] Current/Best: 9.51/ 10.31 GFLOPS | Progress: (4/20) | 14.09 s
+[Task 20/25] Current/Best: 9.56/ 10.31 GFLOPS | Progress: (8/20) | 22.06 s
+[Task 20/25] Current/Best: 6.11/ 18.17 GFLOPS | Progress: (12/20) | 31.33 s
+[Task 20/25] Current/Best: 5.31/ 18.17 GFLOPS | Progress: (16/20) | 35.41 s
+[Task 20/25] Current/Best: 11.13/ 18.17 GFLOPS | Progress: (20/20) | 47.58 s
[Task 21/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 21/25] Current/Best: 7.42/ 18.72 GFLOPS | Progress: (4/20) | 8.67 s
-[Task 21/25] Current/Best: 9.80/ 18.72 GFLOPS | Progress: (8/20) | 12.06 s
-[Task 21/25] Current/Best: 7.38/ 21.08 GFLOPS | Progress: (12/20) | 23.21 s
-[Task 21/25] Current/Best: 3.13/ 21.08 GFLOPS | Progress: (16/20) | 35.95 s
-[Task 21/25] Current/Best: 20.24/ 23.03 GFLOPS | Progress: (20/20) | 38.54 s
+[Task 21/25] Current/Best: 1.61/ 13.52 GFLOPS | Progress: (4/20) | 6.18 s
+[Task 21/25] Current/Best: 11.01/ 22.06 GFLOPS | Progress: (8/20) | 10.55 s
+[Task 21/25] Current/Best: 16.56/ 22.06 GFLOPS | Progress: (12/20) | 21.70 s
+[Task 21/25] Current/Best: 5.32/ 22.06 GFLOPS | Progress: (16/20) | 24.68 s
+[Task 21/25] Current/Best: 19.40/ 22.06 GFLOPS | Progress: (20/20) | 35.07 s
[Task 22/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 22/25] Current/Best: 17.83/ 21.16 GFLOPS | Progress: (4/20) | 4.00 s
-[Task 22/25] Current/Best: 15.89/ 21.16 GFLOPS | Progress: (8/20) | 6.16 s
-[Task 22/25] Current/Best: 18.48/ 21.16 GFLOPS | Progress: (12/20) | 7.99 s
-[Task 22/25] Current/Best: 6.29/ 21.16 GFLOPS | Progress: (16/20) | 10.77 s
-[Task 22/25] Current/Best: 21.62/ 21.62 GFLOPS | Progress: (20/20) | 13.77 s Done.
+[Task 22/25] Current/Best: 16.06/ 18.12 GFLOPS | Progress: (4/20) | 5.56 s
+[Task 22/25] Current/Best: 9.60/ 18.27 GFLOPS | Progress: (8/20) | 9.11 s
+[Task 22/25] Current/Best: 6.79/ 19.53 GFLOPS | Progress: (12/20) | 14.21 s
+[Task 22/25] Current/Best: 5.33/ 19.53 GFLOPS | Progress: (16/20) | 16.04 s
+[Task 22/25] Current/Best: 17.72/ 19.53 GFLOPS | Progress: (20/20) | 17.86 s Done.
[Task 23/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 23/25] Current/Best: 2.70/ 19.80 GFLOPS | Progress: (4/20) | 6.65 s
-[Task 23/25] Current/Best: 12.38/ 22.60 GFLOPS | Progress: (8/20) | 11.41 s
-[Task 23/25] Current/Best: 19.61/ 22.60 GFLOPS | Progress: (12/20) | 14.26 s
-[Task 23/25] Current/Best: 5.82/ 22.60 GFLOPS | Progress: (16/20) | 23.34 s
-[Task 23/25] Current/Best: 9.95/ 23.26 GFLOPS | Progress: (20/20) | 27.35 s Done.
+[Task 23/25] Current/Best: 9.87/ 10.62 GFLOPS | Progress: (4/20) | 9.04 s
+[Task 23/25] Current/Best: 18.98/ 19.93 GFLOPS | Progress: (8/20) | 11.21 s
+[Task 23/25] Current/Best: 21.49/ 21.49 GFLOPS | Progress: (12/20) | 13.63 s
+[Task 23/25] Current/Best: 10.45/ 21.49 GFLOPS | Progress: (16/20) | 18.79 s
+[Task 23/25] Current/Best: 5.35/ 22.87 GFLOPS | Progress: (20/20) | 21.11 s Done.
[Task 24/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 24/25] Current/Best: 5.72/ 5.72 GFLOPS | Progress: (4/20) | 8.27 s
-[Task 24/25] Current/Best: 3.35/ 8.93 GFLOPS | Progress: (8/20) | 18.96 s
-[Task 24/25] Current/Best: 2.19/ 8.93 GFLOPS | Progress: (12/20) | 24.55 s
-[Task 24/25] Current/Best: 3.83/ 8.93 GFLOPS | Progress: (16/20) | 28.00 s
-[Task 24/25] Current/Best: 0.62/ 8.93 GFLOPS | Progress: (20/20) | 38.46 s
-[Task 25/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 25/25] Current/Best: 4.25/ 8.81 GFLOPS | Progress: (4/20) | 6.10 s
-[Task 25/25] Current/Best: 5.84/ 9.77 GFLOPS | Progress: (8/20) | 9.23 s Done.
+[Task 24/25] Current/Best: 9.42/ 9.42 GFLOPS | Progress: (4/20) | 13.11 s Done.
Done.
-[Task 25/25] Current/Best: 9.29/ 9.77 GFLOPS | Progress: (12/20) | 20.18 s
-[Task 25/25] Current/Best: 8.50/ 9.77 GFLOPS | Progress: (16/20) | 22.66 s
-[Task 25/25] Current/Best: 9.21/ 9.77 GFLOPS | Progress: (20/20) | 24.36 s
+[Task 24/25] Current/Best: 3.30/ 9.42 GFLOPS | Progress: (8/20) | 23.84 s
+[Task 24/25] Current/Best: 7.27/ 9.42 GFLOPS | Progress: (12/20) | 34.51 s
+[Task 24/25] Current/Best: 3.42/ 9.42 GFLOPS | Progress: (16/20) | 46.84 s
+[Task 24/25] Current/Best: 10.32/ 10.32 GFLOPS | Progress: (20/20) | 52.64 s
+[Task 25/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
+[Task 25/25] Current/Best: 2.72/ 5.76 GFLOPS | Progress: (4/20) | 5.60 s
+[Task 25/25] Current/Best: 5.83/ 5.83 GFLOPS | Progress: (8/20) | 7.65 s
+[Task 25/25] Current/Best: 7.13/ 9.32 GFLOPS | Progress: (12/20) | 16.38 s
+[Task 25/25] Current/Best: 3.03/ 9.32 GFLOPS | Progress: (16/20) | 27.34 s
+[Task 25/25] Current/Best: 4.04/ 9.32 GFLOPS | Progress: (20/20) | 30.38 s
</pre></div>
</div>
<p>The output from this tuning process will look something like this:</p>
@@ -987,6 +986,7 @@ model using optimized operators to speed up our computations.</p>
</pre></div>
</div>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Done.
+Done.
</pre></div>
</div>
<p>Verify that the optimized model runs and produces the same results:</p>
@@ -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': 416.63111999999956, 'median': 417.21355294999967, 'std': 2.3161197086228538}
-unoptimized: {'mean': 494.5829668899989, 'median': 494.5038646499995, 'std': 1.1535267186212477}
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>optimized: {'mean': 407.5326616300026, 'median': 407.1109403000264, 'std': 2.6347951910003453}
+unoptimized: {'mean': 497.74627236000924, 'median': 497.2623973500049, 'std': 2.7403150565333325}
</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> ( 13 minutes 47.576 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 13 minutes 37.250 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 fbb95c9e1e..bcfd8166c5 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>1.221e-07 secs/op
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>1.296e-07 secs/op
</pre></div>
</div>
</div>
diff --git a/docs/tutorial/intro_topi.html b/docs/tutorial/intro_topi.html
index d176266756..7c3c020891 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, 0x29248ca0)), stage(b, placeholder(b, 0x49e1f50)), stage(T_add, compute(T_add, body=[a[ax0, ax1, ax2] + b[ax1, ax2]], axis=[T.iter_var(ax0, T.Range(0, 100), "DataPar", ""), T.iter_var(ax1, T.Range(0, 10), "DataPar", ""), T.iter_var(ax2, T.Range(0, 10), "DataPar", "")], reduce_axis=[], tag=broadcast, attrs [...]
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>[stage(a, placeholder(a, 0x1c13cdb0)), stage(b, placeholder(b, 0x7454100)), stage(T_add, compute(T_add, body=[a[ax0, ax1, ax2] + b[ax1, ax2]], axis=[T.iter_var(ax0, T.Range(0, 100), "DataPar", ""), T.iter_var(ax1, T.Range(0, 10), "DataPar", ""), T.iter_var(ax2, T.Range(0, 10), "DataPar", "")], reduce_axis=[], tag=broadcast, attrs [...]
</pre></div>
</div>
<p>We can test the correctness by comparing with <code class="code docutils literal notranslate"><span class="pre">numpy</span></code> result as follows</p>
diff --git a/docs/tutorial/sg_execution_times.html b/docs/tutorial/sg_execution_times.html
index d6a57a3f67..c2214f50f6 100644
--- a/docs/tutorial/sg_execution_times.html
+++ b/docs/tutorial/sg_execution_times.html
@@ -360,7 +360,7 @@
<div class="section" id="computation-times">
<span id="sphx-glr-tutorial-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>17:24.635</strong> total execution time for <strong>tutorial</strong> files:</p>
+<p><strong>17:02.704</strong> total execution time for <strong>tutorial</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 83%" />
@@ -369,35 +369,35 @@
</colgroup>
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="autotvm_relay_x86.html#sphx-glr-tutorial-autotvm-relay-x86-py"><span class="std std-ref">Compiling and Optimizing a Model with the Python Interface (AutoTVM)</span></a> (<code class="docutils literal notranslate"><span class="pre">autotvm_relay_x86.py</span></code>)</p></td>
-<td><p>13:47.576</p></td>
+<td><p>13:37.250</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>01:20.766</p></td>
+<td><p>01:24.345</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="tensor_expr_get_started.html#sphx-glr-tutorial-tensor-expr-get-started-py"><span class="std std-ref">Working with Operators Using Tensor Expression</span></a> (<code class="docutils literal notranslate"><span class="pre">tensor_expr_get_started.py</span></code>)</p></td>
-<td><p>00:59.459</p></td>
+<td><p>00:58.747</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>00:42.796</p></td>
+<td><p>00:41.893</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>00:30.599</p></td>
+<td><p>00:18.455</p></td>
<td><p>0.0 MB</p></td>
</tr>
-<tr class="row-even"><td><p><a class="reference internal" href="tensor_ir_blitz_course.html#sphx-glr-tutorial-tensor-ir-blitz-course-py"><span class="std std-ref">Blitz Course to TensorIR</span></a> (<code class="docutils literal notranslate"><span class="pre">tensor_ir_blitz_course.py</span></code>)</p></td>
-<td><p>00:02.261</p></td>
+<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>00:00.953</p></td>
<td><p>0.0 MB</p></td>
</tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="intro_topi.html#sphx-glr-tutorial-intro-topi-py"><span class="std std-ref">Introduction to TOPI</span></a> (<code class="docutils literal notranslate"><span class="pre">intro_topi.py</span></code>)</p></td>
-<td><p>00:00.961</p></td>
+<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>00:00.859</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>00:00.216</p></td>
+<td><p>00:00.201</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="uma.html#sphx-glr-tutorial-uma-py"><span class="std std-ref">Making your Hardware Accelerator TVM-ready with UMA</span></a> (<code class="docutils literal notranslate"><span class="pre">uma.py</span></code>)</p></td>
diff --git a/docs/tutorial/tensor_expr_get_started.html b/docs/tutorial/tensor_expr_get_started.html
index 5c95384036..f36bf451df 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: 0.000007
-naive: 0.000007
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Numpy running time: 0.000008
+naive: 0.000006
</pre></div>
</div>
</div>
@@ -625,7 +625,7 @@ compile and run this new schedule with the parallel operation applied:</p>
<span class="n">evaluate_addition</span><span class="p">(</span><span class="n">fadd_parallel</span><span class="p">,</span> <a href="../reference/api/python/target.html#tvm.target.Target" title="tvm.target.Target" class="sphx-glr-backref-module-tvm-target sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">tgt</span></a><span class="p">,</span> <span class="s2">"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: 0.000008
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>parallel: 0.000007
</pre></div>
</div>
</div>
@@ -664,7 +664,7 @@ factor to be the number of threads on your CPU.</p>
<span class="nb">print</span><span class="p">(</span><a href="../reference/api/python/driver.html#tvm.lower" title="tvm.lower" class="sphx-glr-backref-module-tvm sphx-glr-backref-type-py-function"><span class="n">tvm</span><span class="o">.</span><span class="n">lower</span></a><span class="p">(</span><a href="../reference/api/python/te.html#tvm.te.Schedule" title="tvm.te.Schedule" class="sphx-glr-backref-module-tvm-te sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class [...]
</pre></div>
</div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>vector: 0.000040
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>vector: 0.000039
# from tvm.script import ir as I
# from tvm.script import tir as T
@@ -701,10 +701,10 @@ class Module:
</pre></div>
</div>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Operator Timing Performance
- numpy 6.675470001482609e-06 1.0
- naive 6.9617e-06 1.0428778795281561
-parallel 8.3246e-06 1.2470432790726529
- vector 3.96798e-05 5.94412078717861
+ numpy 7.623890005561407e-06 1.0
+ naive 5.831999999999999e-06 0.7649638171256045
+parallel 7.2556000000000005e-06 0.9516926391523554
+ vector 3.9368599999999994e-05 5.163846798849635
</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: 0.018962
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Numpy running time: 0.019181
</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: 3.342843
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>none: 3.278328
</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: 0.297030
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>blocking: 0.304470
</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: 0.277442
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>vectorization: 0.275954
# 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: 0.118262
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>loop permutation: 0.114093
# 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: 0.107169
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>array packing: 0.106149
# 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: 0.111757
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>block caching: 0.115710
# 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: 0.132057
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>parallelization: 0.136819
# 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 3.3428433187000004 1.0
- blocking 0.29703004439999997 0.08885550894306112
- vectorization 0.2774424416 0.08299594541209149
-loop permutation 0.118261774 0.03537760006232983
- array packing 0.1071693597 0.032059342745886496
- block caching 0.1117568229 0.03343166647231948
- parallelization 0.1320571586 0.03950444158159221
+ none 3.2783281563999997 1.0
+ blocking 0.3044700481 0.09287357261828995
+ vectorization 0.27595422680000004 0.08417529107367674
+loop permutation 0.1140926551 0.03480208498263564
+ array packing 0.10614854299999998 0.03237886445039837
+ block caching 0.1157099015 0.035295399355952044
+ parallelization 0.1368193044 0.04173447497405023
</pre></div>
</div>
<p>Note that the outputs on the web page reflect the running times on a