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Posted to commits@tvm.apache.org by tq...@apache.org on 2024/03/03 17:33:48 UTC
(tvm-site) branch asf-site updated: deploying docs (apache/tvm@e5420436a0fa5ee60764b6c300dfd4ff93d7b069)
This is an automated email from the ASF dual-hosted git repository.
tqchen pushed a commit to branch asf-site
in repository https://gitbox.apache.org/repos/asf/tvm-site.git
The following commit(s) were added to refs/heads/asf-site by this push:
new e16d95d84f deploying docs (apache/tvm@e5420436a0fa5ee60764b6c300dfd4ff93d7b069)
e16d95d84f is described below
commit e16d95d84faf8fe24a2096e91cc9fe685c6fe528
Author: tvm-bot <95...@users.noreply.github.com>
AuthorDate: Sun Mar 3 17:33:42 2024 +0000
deploying docs (apache/tvm@e5420436a0fa5ee60764b6c300dfd4ff93d7b069)
---
.../how_to/compile_models/from_darknet.rst.txt | 2 +-
.../how_to/compile_models/from_oneflow.rst.txt | 2 +-
.../how_to/compile_models/from_paddle.rst.txt | 2 +-
.../how_to/compile_models/from_pytorch.rst.txt | 2 +-
.../how_to/compile_models/from_tensorflow.rst.txt | 2 +-
.../compile_models/sg_execution_times.rst.txt | 20 +-
.../deploy_models/deploy_model_on_adreno.rst.txt | 4 +-
.../deploy_model_on_adreno_tvmc.rst.txt | 2 +-
.../deploy_models/deploy_model_on_android.rst.txt | 2 +-
.../deploy_object_detection_pytorch.rst.txt | 4 +-
.../deploy_models/deploy_prequantized.rst.txt | 6 +-
.../deploy_prequantized_tflite.rst.txt | 2 +-
.../deploy_models/sg_execution_times.rst.txt | 20 +-
.../how_to/extend_tvm/sg_execution_times.rst.txt | 8 +-
.../how_to/extend_tvm/use_pass_instrument.rst.txt | 16 +-
.../optimize_operators/opt_conv_cuda.rst.txt | 2 +-
.../optimize_operators/opt_conv_tensorcore.rst.txt | 2 +-
.../how_to/optimize_operators/opt_gemm.rst.txt | 16 +-
.../optimize_operators/sg_execution_times.rst.txt | 8 +-
.../sg_execution_times.rst.txt | 14 +-
.../tune_conv2d_layer_cuda.rst.txt | 2 +-
.../tune_network_cuda.rst.txt | 4 +-
.../tune_network_x86.rst.txt | 4 +-
.../tune_with_autotvm/sg_execution_times.rst.txt | 12 +-
.../tune_with_autotvm/tune_conv2d_cuda.rst.txt | 2 +-
.../work_with_microtvm/micro_autotune.rst.txt | 18 +-
.../work_with_microtvm/micro_pytorch.rst.txt | 4 +-
.../how_to/work_with_microtvm/micro_train.rst.txt | 16 +-
.../work_with_microtvm/sg_execution_times.rst.txt | 14 +-
.../work_with_relay/sg_execution_times.rst.txt | 8 +-
.../how_to/work_with_schedules/intrin_math.rst.txt | 2 +-
.../work_with_schedules/sg_execution_times.rst.txt | 18 +-
.../tutorials/frontend/deploy_detection.rst.txt | 7 +-
.../tutorials/frontend/sg_execution_times.rst.txt | 4 +-
.../tutorials/optimize/sg_execution_times.rst.txt | 6 +-
.../topic/vta/tutorials/sg_execution_times.rst.txt | 6 +-
.../tutorial/auto_scheduler_matmul_x86.rst.txt | 11 +-
docs/_sources/tutorial/autotvm_matmul_x86.rst.txt | 20 +-
docs/_sources/tutorial/autotvm_relay_x86.rst.txt | 62 ++---
.../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 | 49 ++--
docs/commit_hash | 2 +-
docs/how_to/compile_models/from_darknet.html | 2 +-
docs/how_to/compile_models/from_oneflow.html | 15 +-
docs/how_to/compile_models/from_paddle.html | 2 +-
docs/how_to/compile_models/from_pytorch.html | 13 +-
docs/how_to/compile_models/from_tensorflow.html | 2 +-
docs/how_to/compile_models/sg_execution_times.html | 20 +-
.../deploy_models/deploy_model_on_adreno.html | 4 +-
.../deploy_models/deploy_model_on_adreno_tvmc.html | 34 +--
.../deploy_models/deploy_model_on_android.html | 2 +-
.../deploy_object_detection_pytorch.html | 54 +++--
docs/how_to/deploy_models/deploy_prequantized.html | 8 +-
.../deploy_models/deploy_prequantized_tflite.html | 2 +-
docs/how_to/deploy_models/sg_execution_times.html | 20 +-
docs/how_to/extend_tvm/sg_execution_times.html | 8 +-
docs/how_to/extend_tvm/use_pass_instrument.html | 16 +-
docs/how_to/optimize_operators/opt_conv_cuda.html | 2 +-
.../optimize_operators/opt_conv_tensorcore.html | 2 +-
docs/how_to/optimize_operators/opt_gemm.html | 16 +-
.../optimize_operators/sg_execution_times.html | 8 +-
.../sg_execution_times.html | 14 +-
.../tune_conv2d_layer_cuda.html | 2 +-
.../tune_with_autoscheduler/tune_network_cuda.html | 4 +-
.../tune_with_autoscheduler/tune_network_x86.html | 4 +-
.../tune_with_autotvm/sg_execution_times.html | 12 +-
.../how_to/tune_with_autotvm/tune_conv2d_cuda.html | 2 +-
docs/how_to/work_with_microtvm/micro_autotune.html | 18 +-
docs/how_to/work_with_microtvm/micro_pytorch.html | 5 +-
docs/how_to/work_with_microtvm/micro_train.html | 16 +-
.../work_with_microtvm/sg_execution_times.html | 14 +-
.../how_to/work_with_relay/sg_execution_times.html | 8 +-
docs/how_to/work_with_schedules/intrin_math.html | 2 +-
.../work_with_schedules/sg_execution_times.html | 22 +-
docs/reference/api/python/auto_scheduler.html | 4 +-
.../api/typedoc/classes/ArtifactCache.html | 10 +-
docs/reference/api/typedoc/classes/DLDataType.html | 14 +-
docs/reference/api/typedoc/classes/DLDevice.html | 12 +-
docs/reference/api/typedoc/classes/Instance.html | 104 ++++----
docs/reference/api/typedoc/classes/Module.html | 12 +-
docs/reference/api/typedoc/classes/NDArray.html | 30 +--
docs/reference/api/typedoc/classes/RPCServer.html | 16 +-
docs/reference/api/typedoc/classes/Scalar.html | 8 +-
docs/reference/api/typedoc/classes/TVMArray.html | 16 +-
docs/reference/api/typedoc/classes/TVMObject.html | 12 +-
.../api/typedoc/classes/VirtualMachine.html | 10 +-
.../classes/_internal_.CachedCallStack.html | 36 +--
.../classes/_internal_.CanvasRenderManager.html | 10 +-
.../typedoc/classes/_internal_.Environment.html | 14 +-
.../api/typedoc/classes/_internal_.FFILibrary.html | 22 +-
.../api/typedoc/classes/_internal_.Memory.html | 36 +--
.../typedoc/classes/_internal_.PackedFuncCell.html | 8 +-
.../typedoc/classes/_internal_.RuntimeContext.html | 54 ++---
.../api/typedoc/classes/_internal_.TVMString.html | 14 +-
.../typedoc/classes/_internal_.WebGPUContext.html | 28 +--
.../typedoc/enums/_internal_.RPCServerState.html | 14 +-
docs/reference/api/typedoc/functions/assert.html | 2 +-
.../api/typedoc/functions/createPolyfillWASI.html | 2 +-
.../api/typedoc/functions/deleteNDArrayCache.html | 2 +-
.../api/typedoc/functions/detectGPUDevice.html | 2 +-
.../api/typedoc/functions/hasNDArrayInCache.html | 2 +-
.../api/typedoc/functions/instantiate.html | 2 +-
docs/reference/api/typedoc/functions/wasmPath.html | 2 +-
.../api/typedoc/interfaces/Disposable.html | 4 +-
.../typedoc/interfaces/GPUDeviceDetectOutput.html | 8 +-
.../api/typedoc/interfaces/InitProgressReport.html | 10 +-
.../api/typedoc/interfaces/LibraryProvider.html | 6 +-
.../_internal_.ArtifactCacheTemplate.html | 8 +-
.../interfaces/_internal_.FunctionInfo.html | 8 +-
.../interfaces/_internal_.NDArrayCacheEntry.html | 14 +-
.../interfaces/_internal_.NDArrayShardEntry.html | 10 +-
.../api/typedoc/types/InitProgressCallback.html | 2 +-
docs/reference/api/typedoc/types/PackedFunc.html | 2 +-
.../types/_internal_.FObjectConstructor.html | 2 +-
.../types/_internal_.FTVMWasmAllocSpace.html | 2 +-
.../types/_internal_.FTVMWasmFreeSpace.html | 2 +-
.../types/_internal_.FTVMWasmPackedCFunc.html | 2 +-
.../api/typedoc/types/_internal_.Pointer.html | 2 +-
.../typedoc/types/_internal_.TVMObjectBase.html | 2 +-
docs/searchindex.js | 2 +-
.../vta/tutorials/frontend/deploy_detection.html | 3 +-
.../vta/tutorials/frontend/sg_execution_times.html | 4 +-
.../vta/tutorials/optimize/sg_execution_times.html | 6 +-
docs/topic/vta/tutorials/sg_execution_times.html | 6 +-
docs/tutorial/auto_scheduler_matmul_x86.html | 7 +-
docs/tutorial/autotvm_matmul_x86.html | 20 +-
docs/tutorial/autotvm_relay_x86.html | 268 ++++++++++-----------
docs/tutorial/cross_compilation_and_rpc.html | 2 +-
docs/tutorial/intro_topi.html | 2 +-
docs/tutorial/sg_execution_times.html | 18 +-
docs/tutorial/tensor_expr_get_started.html | 45 ++--
133 files changed, 890 insertions(+), 857 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 cdc30bebed..1163887929 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 28.980 seconds)
+ **Total running time of the script:** ( 1 minutes 35.201 seconds)
.. _sphx_glr_download_how_to_compile_models_from_darknet.py:
diff --git a/docs/_sources/how_to/compile_models/from_oneflow.rst.txt b/docs/_sources/how_to/compile_models/from_oneflow.rst.txt
index 02a1c0bab0..ebd0c36e54 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] 19%|#9 | 7.99M/41.5M [00:00<00:00, 53.7MB/s] 39%|###8 | 16.0M/41.5M [00:00<00:00, 66.3MB/s] 58%|#####7 | 24.0M/41.5M [00:00<00:00, 64.2MB/s] 77%|#######7 | 32.0M/41.5M [00:00<00:00, 69.7MB/s] 94%|#########3| 38.8M/41.5M [00:00<00:00, 69.5MB/s] 100%|##########| 41.5M/41.5M [00:00<00:00, 65.2MB/s]
+ 0%| | 0.00/41.5M [00:00<?, ?B/s] 15%|#5 | 6.33M/41.5M [00:00<00:01, 23.5MB/s] 26%|##5 | 10.7M/41.5M [00:00<00:01, 30.8MB/s] 35%|###4 | 14.3M/41.5M [00:00<00:00, 33.0MB/s] 43%|####2 | 17.8M/41.5M [00:00<00:00, 30.4MB/s] 54%|#####3 | 22.3M/41.5M [00:00<00:00, 35.2MB/s] 63%|######2 | 26.0M/41.5M [00:00<00:00, 31.1MB/s] 77%|#######7 | 32.0M/41.5M [00:00<00:00, 38.0MB/s] 96%|#########6| 40.0M/41.5M [00:01<00:00, 47.6MB/s] 100%|##########| 41.5M/41.5M [00:01<00:00, 38.7MB/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 5b0cdee94f..acff0a404b 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 0.668 seconds)
+ **Total running time of the script:** ( 1 minutes 3.759 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 04f6cd871f..d363907130 100644
--- a/docs/_sources/how_to/compile_models/from_pytorch.rst.txt
+++ b/docs/_sources/how_to/compile_models/from_pytorch.rst.txt
@@ -101,7 +101,7 @@ Load a pretrained PyTorch model
/venv/apache-tvm-py3.8/lib/python3.8/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=ResNet18_Weights.IMAGENET1K_V1`. You can also use `weights=ResNet18_Weights.DEFAULT` to get the most up-to-date weights.
warnings.warn(msg)
Downloading: "https://download.pytorch.org/models/resnet18-f37072fd.pth" to /workspace/.cache/torch/hub/checkpoints/resnet18-f37072fd.pth
- 0%| | 0.00/44.7M [00:00<?, ?B/s] 18%|#7 | 7.99M/44.7M [00:00<00:00, 49.3MB/s] 37%|###7 | 16.6M/44.7M [00:00<00:00, 68.2MB/s] 54%|#####3 | 24.0M/44.7M [00:00<00:00, 67.8MB/s] 72%|#######1 | 32.0M/44.7M [00:00<00:00, 60.3MB/s] 90%|########9 | 40.0M/44.7M [00:00<00:00, 57.6MB/s] 100%|##########| 44.7M/44.7M [00:00<00:00, 64.8MB/s]
+ 0%| | 0.00/44.7M [00:00<?, ?B/s] 18%|#7 | 7.99M/44.7M [00:00<00:00, 78.3MB/s] 40%|#### | 18.1M/44.7M [00:00<00:00, 61.2MB/s] 54%|#####4 | 24.2M/44.7M [00:00<00:00, 59.1MB/s] 68%|######7 | 30.3M/44.7M [00:00<00:00, 54.4MB/s] 86%|########5 | 38.3M/44.7M [00:00<00:00, 46.8MB/s] 96%|#########6| 43.0M/44.7M [00:00<00:00, 45.9MB/s] 100%|##########| 44.7M/44.7M [00:00<00:00, 52.7MB/s]
diff --git a/docs/_sources/how_to/compile_models/from_tensorflow.rst.txt b/docs/_sources/how_to/compile_models/from_tensorflow.rst.txt
index 160064d88b..394c4ca1d9 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 28.596 seconds)
+ **Total running time of the script:** ( 1 minutes 33.270 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 7b83f573ba..989bb94012 100644
--- a/docs/_sources/how_to/compile_models/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/compile_models/sg_execution_times.rst.txt
@@ -5,24 +5,24 @@
Computation times
=================
-**06:24.210** total execution time for **how_to_compile_models** files:
+**07:00.228** total execution time for **how_to_compile_models** files:
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_darknet.py` (``from_darknet.py``) | 01:28.980 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_darknet.py` (``from_darknet.py``) | 01:35.201 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_tensorflow.py` (``from_tensorflow.py``) | 01:28.596 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_tensorflow.py` (``from_tensorflow.py``) | 01:33.270 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_paddle.py` (``from_paddle.py``) | 01:00.668 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_paddle.py` (``from_paddle.py``) | 01:03.759 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_oneflow.py` (``from_oneflow.py``) | 00:41.630 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_oneflow.py` (``from_oneflow.py``) | 00:50.840 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_coreml.py` (``from_coreml.py``) | 00:37.900 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_coreml.py` (``from_coreml.py``) | 00:42.125 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_pytorch.py` (``from_pytorch.py``) | 00:27.724 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_pytorch.py` (``from_pytorch.py``) | 00:32.308 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_keras.py` (``from_keras.py``) | 00:24.946 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_keras.py` (``from_keras.py``) | 00:26.523 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_tflite.py` (``from_tflite.py``) | 00:11.014 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_tflite.py` (``from_tflite.py``) | 00:13.296 | 0.0 MB |
+-----------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_compile_models_from_onnx.py` (``from_onnx.py``) | 00:02.753 | 0.0 MB |
+| :ref:`sphx_glr_how_to_compile_models_from_onnx.py` (``from_onnx.py``) | 00:02.905 | 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 02f7199a2a..df4481b2df 100644
--- a/docs/_sources/how_to/deploy_models/deploy_model_on_adreno.rst.txt
+++ b/docs/_sources/how_to/deploy_models/deploy_model_on_adreno.rst.txt
@@ -673,7 +673,7 @@ well as provides information about the model's performance
Evaluate inference time cost...
Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 3991.6275 3992.7249 3994.8343 3988.1788 2.4917
+ 4125.3211 4125.6872 4129.7223 4121.9819 2.0487
@@ -681,7 +681,7 @@ well as provides information about the model's performance
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 16.767 seconds)
+ **Total running time of the script:** ( 1 minutes 21.428 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 75aa02bc7e..69ff029357 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 15196160/102967424 [===>..........................] - ETA: 0s 16769024/102967424 [===>..........................] - ETA: 0s 25157632/102967424 [======>.......................] - ETA: 0s 33546240/102967424 [========>.....................] - ETA: 0s 41934848/102967424 [===========>..................] - ETA: 0s 48578560/102967424 [=============>................] - ETA: 0s
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ETA: 0s 99237888/102967424 [===========================>..] - ETA: 0s 100646912/102967424 [============================>.] - ETA: 0s 102967424/102967424 [==============================] - 1s 0us/step
+ 8192/102967424 [..............................] - ETA: 0s 7561216/102967424 [=>............................] - ETA: 0s 12500992/102967424 [==>...........................] - ETA: 0s 17637376/102967424 [====>.........................] - ETA: 0s 22609920/102967424 [=====>........................] - ETA: 0s 27303936/102967424 [======>.......................] - ETA: 0s 32661504/102967424 [========>.....................] - ETA: 0s 37519360/102967424 [=========>....................] - ETA: 0s
42737664/102967424 [===========>..................] - ETA: 0s 47710208/102967424 [============>.................] - ETA: 0s 52420608/102967424 [==============>...............] - ETA: 0s 57827328/102967424 [===============>..............] - ETA: 0s 62070784/102967424 [=================>............] - ETA: 0s 67518464/102967424 [==================>...........] - ETA: 0s 72843264/102967424 [====================>.........] - ETA: 0s 77946880/102967424 [=====================>........] -
ETA: 0s 83017728/102967424 [=======================>......] - ETA: 0s 87932928/102967424 [========================>.....] - ETA: 0s 92266496/102967424 [=========================>....] - ETA: 0s 98082816/102967424 [===========================>..] - ETA: 0s 102967424/102967424 [==============================] - 1s 0us/step
diff --git a/docs/_sources/how_to/deploy_models/deploy_model_on_android.rst.txt b/docs/_sources/how_to/deploy_models/deploy_model_on_android.rst.txt
index 435b98a30b..cb67e26552 100644
--- a/docs/_sources/how_to/deploy_models/deploy_model_on_android.rst.txt
+++ b/docs/_sources/how_to/deploy_models/deploy_model_on_android.rst.txt
@@ -437,7 +437,7 @@ Execute on TVM
Evaluate inference time cost...
Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 14.2786 14.3319 14.5337 13.9691 0.1952
+ 15.7816 15.7406 16.3996 15.4383 0.2527
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 0c5378d6c9..23d3e69bdd 100644
--- a/docs/_sources/how_to/deploy_models/deploy_object_detection_pytorch.rst.txt
+++ b/docs/_sources/how_to/deploy_models/deploy_object_detection_pytorch.rst.txt
@@ -130,7 +130,7 @@ Load pre-trained maskrcnn from torchvision and do tracing
/venv/apache-tvm-py3.8/lib/python3.8/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=MaskRCNN_ResNet50_FPN_Weights.COCO_V1`. You can also use `weights=MaskRCNN_ResNet50_FPN_Weights.DEFAULT` to get the most up-to-date weights.
warnings.warn(msg)
Downloading: "https://download.pytorch.org/models/maskrcnn_resnet50_fpn_coco-bf2d0c1e.pth" to /workspace/.cache/torch/hub/checkpoints/maskrcnn_resnet50_fpn_coco-bf2d0c1e.pth
- 0%| | 0.00/170M [00:00<?, ?B/s] 5%|4 | 7.99M/170M [00:00<00:02, 78.7MB/s] 9%|9 | 16.0M/170M [00:00<00:02, 61.8MB/s] 14%|#4 | 24.0M/170M [00:00<00:03, 47.9MB/s] 19%|#8 | 32.0M/170M [00:00<00:02, 54.9MB/s] 24%|##3 | 40.0M/170M [00:00<00:02, 56.4MB/s] 28%|##8 | 48.0M/170M [00:00<00:02, 58.7MB/s] 34%|###4 | 58.0M/170M [00:00<00:01, 70.4MB/s] 38%|###8 | 65.2M/170M [00:01<00:01, 65.1MB/s] 42%|####2 | 72.0M/170M [00:01<00:01, 60.6MB/s] 47%|####7 | 80.0M/170M [00:01<00:01, 60.7MB/s] 52%|#####2 | 88.9M/170M [00:01<00:01, 68.8MB/s] 58%|#####8 | 98.7M/170M [00:01<00:00, 77.5MB/s] 63%|######2 | 106M/170M [00:01<00:01, 62.3MB/s] 67%|######6 | 113M/170M [00:02<00:01, 48.8MB/s] 71%|####### | 120M/170M [00:02<00:01, 46.4MB/s] 74%|#######4 | 126M/170M [00:02<00:00, 49.3MB/s] 77%|#######7 | 132M/170M [00:02<00:00, 49.9MB/s]
80%|######## | 137M/170M [00:02<00:00, 48.8MB/s] 85%|########4 | 144M/170M [00:02<00:00, 55.7MB/s] 89%|########9 | 152M/170M [00:02<00:00, 54.2MB/s] 94%|#########4| 160M/170M [00:02<00:00, 51.4MB/s] 99%|#########8| 168M/170M [00:03<00:00, 56.6MB/s] 100%|##########| 170M/170M [00:03<00:00, 57.5MB/s]
+ 0%| | 0.00/170M [00:00<?, ?B/s] 5%|4 | 7.99M/170M [00:00<00:04, 39.0MB/s] 9%|9 | 16.0M/170M [00:00<00:03, 42.5MB/s] 13%|#3 | 22.3M/170M [00:00<00:03, 48.0MB/s] 16%|#5 | 27.1M/170M [00:00<00:03, 48.6MB/s] 19%|#8 | 32.0M/170M [00:00<00:03, 41.0MB/s] 24%|##4 | 41.4M/170M [00:00<00:02, 56.0MB/s] 28%|##8 | 48.0M/170M [00:01<00:02, 52.9MB/s] 33%|###2 | 56.0M/170M [00:01<00:02, 53.6MB/s] 37%|###6 | 62.3M/170M [00:01<00:02, 53.5MB/s] 40%|###9 | 67.6M/170M [00:01<00:02, 53.5MB/s] 43%|####2 | 72.8M/170M [00:01<00:01, 53.2MB/s] 47%|####7 | 80.0M/170M [00:01<00:01, 52.2MB/s] 51%|##### | 86.3M/170M [00:01<00:01, 52.4MB/s] 54%|#####3 | 91.4M/170M [00:01<00:01, 47.3MB/s] 56%|#####6 | 95.9M/170M [00:02<00:01, 45.2MB/s] 59%|#####9 | 101M/170M [00:02<00:01, 45.9MB/s] 62%|######1 | 105M/170M [00:02<00:02, 33.6MB/s
] 64%|######4 | 109M/170M [00:02<00:01, 34.9MB/s] 66%|######6 | 113M/170M [00:02<00:02, 28.0MB/s] 71%|####### | 120M/170M [00:02<00:01, 32.0MB/s] 74%|#######4 | 126M/170M [00:03<00:01, 38.6MB/s] 77%|#######6 | 130M/170M [00:03<00:01, 38.1MB/s] 80%|######## | 136M/170M [00:03<00:00, 36.5MB/s] 85%|########4 | 144M/170M [00:03<00:00, 43.4MB/s] 89%|########9 | 152M/170M [00:03<00:00, 38.1MB/s] 94%|#########4| 160M/170M [00:03<00:00, 45.1MB/s] 97%|#########6| 164M/170M [00:04<00:00, 37.7MB/s] 99%|#########9| 169M/170M [00:04<00:00, 29.4MB/s] 100%|##########| 170M/170M [00:04<00:00, 41.4MB/s]
/venv/apache-tvm-py3.8/lib/python3.8/site-packages/torch/nn/functional.py:3912: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
(torch.floor((input.size(i + 2).float() * torch.tensor(scale_factors[i], dtype=torch.float32)).float()))
/venv/apache-tvm-py3.8/lib/python3.8/site-packages/torchvision/ops/boxes.py:157: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
@@ -292,7 +292,7 @@ Get boxes with score larger than 0.9
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 3 minutes 21.234 seconds)
+ **Total running time of the script:** ( 3 minutes 51.467 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 3dc6f2a138..7bdf3b0446 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, 49.8MB/s] 100%|##########| 13.6M/13.6M [00:00<00:00, 65.0MB/s]
+ 0%| | 0.00/13.6M [00:00<?, ?B/s] 59%|#####8 | 7.99M/13.6M [00:00<00:00, 60.5MB/s] 100%|##########| 13.6M/13.6M [00:00<00:00, 58.5MB/s]
@@ -409,7 +409,7 @@ Here we give an example of how to measure performance of TVM compiled models.
Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 85.8752 85.8443 86.6964 85.5273 0.2292
+ 89.0989 89.0082 90.9337 88.6764 0.3626
@@ -457,7 +457,7 @@ TODO
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 26.551 seconds)
+ **Total running time of the script:** ( 1 minutes 33.458 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 d98286331b..d6b328954e 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)
- 104.0252 103.8798 105.9323 102.9080 0.8070
+ 110.1695 110.1146 111.8264 109.7324 0.2986
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 6578e2f63c..b103489212 100644
--- a/docs/_sources/how_to/deploy_models/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/deploy_models/sg_execution_times.rst.txt
@@ -5,24 +5,24 @@
Computation times
=================
-**09:26.374** total execution time for **how_to_deploy_models** files:
+**10:22.508** total execution time for **how_to_deploy_models** files:
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_object_detection_pytorch.py` (``deploy_object_detection_pytorch.py``) | 03:21.234 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_object_detection_pytorch.py` (``deploy_object_detection_pytorch.py``) | 03:51.467 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized.py` (``deploy_prequantized.py``) | 01:26.551 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized.py` (``deploy_prequantized.py``) | 01:33.458 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_adreno.py` (``deploy_model_on_adreno.py``) | 01:16.767 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_adreno.py` (``deploy_model_on_adreno.py``) | 01:21.428 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_android.py` (``deploy_model_on_android.py``) | 00:49.338 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_android.py` (``deploy_model_on_android.py``) | 00:54.359 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized_tflite.py` (``deploy_prequantized_tflite.py``) | 00:49.239 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized_tflite.py` (``deploy_prequantized_tflite.py``) | 00:52.666 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_adreno_tvmc.py` (``deploy_model_on_adreno_tvmc.py``) | 00:45.237 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_adreno_tvmc.py` (``deploy_model_on_adreno_tvmc.py``) | 00:47.693 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_rasp.py` (``deploy_model_on_rasp.py``) | 00:29.000 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_rasp.py` (``deploy_model_on_rasp.py``) | 00:30.752 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_nano.py` (``deploy_model_on_nano.py``) | 00:29.000 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_nano.py` (``deploy_model_on_nano.py``) | 00:30.677 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_deploy_models_deploy_sparse.py` (``deploy_sparse.py``) | 00:00.008 | 0.0 MB |
+| :ref:`sphx_glr_how_to_deploy_models_deploy_sparse.py` (``deploy_sparse.py``) | 00:00.010 | 0.0 MB |
+------------------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/docs/_sources/how_to/extend_tvm/sg_execution_times.rst.txt b/docs/_sources/how_to/extend_tvm/sg_execution_times.rst.txt
index 25d99675c0..5beff60682 100644
--- a/docs/_sources/how_to/extend_tvm/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/extend_tvm/sg_execution_times.rst.txt
@@ -5,12 +5,12 @@
Computation times
=================
-**00:03.878** total execution time for **how_to_extend_tvm** files:
+**00:04.507** total execution time for **how_to_extend_tvm** files:
+-------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_extend_tvm_use_pass_instrument.py` (``use_pass_instrument.py``) | 00:02.681 | 0.0 MB |
+| :ref:`sphx_glr_how_to_extend_tvm_use_pass_instrument.py` (``use_pass_instrument.py``) | 00:03.164 | 0.0 MB |
+-------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_extend_tvm_use_pass_infra.py` (``use_pass_infra.py``) | 00:01.190 | 0.0 MB |
+| :ref:`sphx_glr_how_to_extend_tvm_use_pass_infra.py` (``use_pass_infra.py``) | 00:01.335 | 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 |
+| :ref:`sphx_glr_how_to_extend_tvm_low_level_custom_pass.py` (``low_level_custom_pass.py``) | 00:00.008 | 0.0 MB |
+-------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/docs/_sources/how_to/extend_tvm/use_pass_instrument.rst.txt b/docs/_sources/how_to/extend_tvm/use_pass_instrument.rst.txt
index 98fedb62c5..9273bf78a8 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: 24570us [24570us] (49.19%; 49.19%)
- FoldScaleAxis: 25378us [6us] (50.81%; 50.81%)
- FoldConstant: 25372us [1752us] (50.80%; 99.98%)
- InferType: 23620us [23620us] (47.29%; 93.10%)
+ InferType: 32761us [32761us] (48.89%; 48.89%)
+ FoldScaleAxis: 34247us [9us] (51.11%; 51.11%)
+ FoldConstant: 34238us [1833us] (51.10%; 99.97%)
+ InferType: 32405us [32405us] (48.36%; 94.65%)
@@ -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: 23550us [23550us] (48.71%; 48.71%)
- FoldScaleAxis: 24795us [5us] (51.29%; 51.29%)
- FoldConstant: 24790us [1604us] (51.28%; 99.98%)
- InferType: 23185us [23185us] (47.96%; 93.53%)
+ InferType: 32409us [32409us] (48.39%; 48.39%)
+ FoldScaleAxis: 34565us [9us] (51.61%; 51.61%)
+ FoldConstant: 34556us [1891us] (51.60%; 99.97%)
+ InferType: 32665us [32665us] (48.77%; 94.53%)
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 8883f1a673..0ccb621a29 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: 53.610462 ms
+ Convolution: 53.496479 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 a11735df08..d22e5ddf75 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: 11.776899 ms
+ conv2d with tensor core: 11.315878 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 b40209528b..4c1842cc52 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: 0.014264
- Baseline: 3.361264
+ Numpy running time: 0.018578
+ Baseline: 3.547024
@@ -227,7 +227,7 @@ fill 32 * 32 * sizeof(float) which is 4KB in the cache whose total size is 32KB
.. code-block:: none
- Opt1: 0.289748
+ Opt1: 0.293961
@@ -318,7 +318,7 @@ In this tutorial, we chose to vectorize the inner loop row data since it is cach
.. code-block:: none
- Opt2: 0.258940
+ Opt2: 0.284869
@@ -406,7 +406,7 @@ the access pattern for A matrix is more cache friendly.
.. code-block:: none
- Opt3: 0.109695
+ Opt3: 0.119700
@@ -523,7 +523,7 @@ flattening.
.. code-block:: none
- Opt4: 0.104865
+ Opt4: 0.109677
@@ -635,7 +635,7 @@ write to C when all the block results are ready.
.. code-block:: none
- Opt5: 0.097337
+ Opt5: 0.112672
@@ -748,7 +748,7 @@ Furthermore, we can also utilize multi-core processors to do the thread-level pa
.. code-block:: none
- Opt6: 0.115884
+ Opt6: 0.134471
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 4197946202..5c32250508 100644
--- a/docs/_sources/how_to/optimize_operators/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/optimize_operators/sg_execution_times.rst.txt
@@ -5,12 +5,12 @@
Computation times
=================
-**00:31.729** total execution time for **how_to_optimize_operators** files:
+**00:34.774** total execution time for **how_to_optimize_operators** files:
+-----------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_optimize_operators_opt_gemm.py` (``opt_gemm.py``) | 00:28.808 | 0.0 MB |
+| :ref:`sphx_glr_how_to_optimize_operators_opt_gemm.py` (``opt_gemm.py``) | 00:31.606 | 0.0 MB |
+-----------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_optimize_operators_opt_conv_tensorcore.py` (``opt_conv_tensorcore.py``) | 00:01.760 | 0.0 MB |
+| :ref:`sphx_glr_how_to_optimize_operators_opt_conv_tensorcore.py` (``opt_conv_tensorcore.py``) | 00:01.936 | 0.0 MB |
+-----------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_optimize_operators_opt_conv_cuda.py` (``opt_conv_cuda.py``) | 00:01.161 | 0.0 MB |
+| :ref:`sphx_glr_how_to_optimize_operators_opt_conv_cuda.py` (``opt_conv_cuda.py``) | 00:01.232 | 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 11024c5d3f..abfab230eb 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
=================
-**03:29.333** total execution time for **how_to_tune_with_autoscheduler** files:
+**03:57.735** 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``) | 01:31.019 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_x86.py` (``tune_network_x86.py``) | 01:46.337 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_cuda.py` (``tune_network_cuda.py``) | 01:10.522 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_cuda.py` (``tune_network_cuda.py``) | 01:15.329 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_arm.py` (``tune_network_arm.py``) | 00:17.192 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_arm.py` (``tune_network_arm.py``) | 00:20.788 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_mali.py` (``tune_network_mali.py``) | 00:15.872 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_mali.py` (``tune_network_mali.py``) | 00:18.999 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_conv2d_layer_cuda.py` (``tune_conv2d_layer_cuda.py``) | 00:14.632 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_conv2d_layer_cuda.py` (``tune_conv2d_layer_cuda.py``) | 00:16.180 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_sparse_x86.py` (``tune_sparse_x86.py``) | 00:00.098 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_sparse_x86.py` (``tune_sparse_x86.py``) | 00:00.102 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/docs/_sources/how_to/tune_with_autoscheduler/tune_conv2d_layer_cuda.rst.txt b/docs/_sources/how_to/tune_with_autoscheduler/tune_conv2d_layer_cuda.rst.txt
index d7367b259c..a9a2691449 100644
--- a/docs/_sources/how_to/tune_with_autoscheduler/tune_conv2d_layer_cuda.rst.txt
+++ b/docs/_sources/how_to/tune_with_autoscheduler/tune_conv2d_layer_cuda.rst.txt
@@ -766,7 +766,7 @@ We build the binary and check its correctness and performance.
.. code-block:: none
- Execution time of this operator: 0.339 ms
+ Execution time of this operator: 0.331 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 1387db7def..cce90beff0 100644
--- a/docs/_sources/how_to/tune_with_autoscheduler/tune_network_cuda.rst.txt
+++ b/docs/_sources/how_to/tune_with_autoscheduler/tune_network_cuda.rst.txt
@@ -633,7 +633,7 @@ so we can read the log file and load the best schedules.
Evaluate inference time cost...
Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 3.2047 3.2046 3.2050 3.2044 0.0003
+ 3.2079 3.2080 3.2090 3.2069 0.0008
@@ -660,7 +660,7 @@ Other Tips
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 10.522 seconds)
+ **Total running time of the script:** ( 1 minutes 15.329 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 515a313ab2..c813a24848 100644
--- a/docs/_sources/how_to/tune_with_autoscheduler/tune_network_x86.rst.txt
+++ b/docs/_sources/how_to/tune_with_autoscheduler/tune_network_x86.rst.txt
@@ -655,7 +655,7 @@ so we can read the log file and load the best schedules.
Evaluate inference time cost...
Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 710.4041 710.5803 710.8398 709.7922 0.4455
+ 752.8084 752.4689 753.8253 752.1310 0.7322
@@ -682,7 +682,7 @@ Other Tips
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 31.019 seconds)
+ **Total running time of the script:** ( 1 minutes 46.337 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 58399a6392..8d2a4202f2 100644
--- a/docs/_sources/how_to/tune_with_autotvm/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/tune_with_autotvm/sg_execution_times.rst.txt
@@ -5,16 +5,16 @@
Computation times
=================
-**00:22.876** total execution time for **how_to_tune_with_autotvm** files:
+**00:25.103** total execution time for **how_to_tune_with_autotvm** files:
+--------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_conv2d_cuda.py` (``tune_conv2d_cuda.py``) | 00:22.840 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_conv2d_cuda.py` (``tune_conv2d_cuda.py``) | 00:25.065 | 0.0 MB |
+--------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_x86.py` (``tune_relay_x86.py``) | 00:00.021 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_x86.py` (``tune_relay_x86.py``) | 00:00.023 | 0.0 MB |
+--------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_cuda.py` (``tune_relay_cuda.py``) | 00:00.005 | 0.0 MB |
-+--------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_mobile_gpu.py` (``tune_relay_mobile_gpu.py``) | 00:00.005 | 0.0 MB |
+| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_cuda.py` (``tune_relay_cuda.py``) | 00:00.006 | 0.0 MB |
+--------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_arm.py` (``tune_relay_arm.py``) | 00:00.005 | 0.0 MB |
+--------------------------------------------------------------------------------------------------+-----------+--------+
+| :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_mobile_gpu.py` (``tune_relay_mobile_gpu.py``) | 00:00.005 | 0.0 MB |
++--------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/docs/_sources/how_to/tune_with_autotvm/tune_conv2d_cuda.rst.txt b/docs/_sources/how_to/tune_with_autotvm/tune_conv2d_cuda.rst.txt
index 79a0e783ec..fcc41b3927 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: 0.037037
+ Time cost of this operator: 0.037118
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 d8d6d9adc2..3e859a5013 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 293.5 98.723 (1, 2, 10, 10, 3) 2 1 [293.5]
- tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 2.868 0.965 (1, 6, 10, 10) 1 1 [2.868]
- tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.93 0.313 (1, 1, 10, 10, 3) 1 1 [0.93]
- Total_time - 297.297 - - - - -
+ tvmgen_default_fused_nn_contrib_conv2d_NCHWc tvmgen_default_fused_nn_contrib_conv2d_NCHWc 303.9 98.727 (1, 2, 10, 10, 3) 2 1 [303.9]
+ tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 2.964 0.963 (1, 6, 10, 10) 1 1 [2.964]
+ tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.955 0.31 (1, 1, 10, 10, 3) 1 1 [0.955]
+ Total_time - 307.819 - - - - -
@@ -428,10 +428,10 @@ Timing the tuned program
########## Build with Autotuning ##########
Node Name Ops Time(us) Time(%) Shape Inputs Outputs Measurements(us)
--------- --- -------- ------- ----- ------ ------- ----------------
- tvmgen_default_fused_nn_contrib_conv2d_NCHWc tvmgen_default_fused_nn_contrib_conv2d_NCHWc 100.25 97.513 (1, 6, 10, 10, 1) 2 1 [100.25]
- tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 1.743 1.695 (1, 6, 10, 10) 1 1 [1.743]
- tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.814 0.792 (1, 3, 10, 10, 1) 1 1 [0.814]
- Total_time - 102.807 - - - - -
+ tvmgen_default_fused_nn_contrib_conv2d_NCHWc tvmgen_default_fused_nn_contrib_conv2d_NCHWc 102.2 97.508 (1, 6, 10, 10, 1) 2 1 [102.2]
+ tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 1.773 1.692 (1, 6, 10, 10) 1 1 [1.773]
+ tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.839 0.801 (1, 3, 10, 10, 1) 1 1 [0.839]
+ Total_time - 104.812 - - - - -
@@ -439,7 +439,7 @@ Timing the tuned program
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 22.712 seconds)
+ **Total running time of the script:** ( 1 minutes 27.284 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 d07c7dd817..0df6451b58 100644
--- a/docs/_sources/how_to/work_with_microtvm/micro_pytorch.rst.txt
+++ b/docs/_sources/how_to/work_with_microtvm/micro_pytorch.rst.txt
@@ -118,7 +118,7 @@ download a cat image and preprocess it to use as the model input.
/venv/apache-tvm-py3.8/lib/python3.8/site-packages/torch/ao/quantization/utils.py:310: UserWarning: must run observer before calling calculate_qparams. Returning default values.
warnings.warn(
Downloading: "https://download.pytorch.org/models/quantized/mobilenet_v2_qnnpack_37f702c5.pth" to /workspace/.cache/torch/hub/checkpoints/mobilenet_v2_qnnpack_37f702c5.pth
- 0%| | 0.00/3.42M [00:00<?, ?B/s] 61%|###### | 2.09M/3.42M [00:00<00:00, 21.6MB/s] 100%|##########| 3.42M/3.42M [00:00<00:00, 34.0MB/s]
+ 0%| | 0.00/3.42M [00:00<?, ?B/s] 100%|##########| 3.42M/3.42M [00:00<00:00, 62.6MB/s]
/venv/apache-tvm-py3.8/lib/python3.8/site-packages/torch/_utils.py:314: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
device=storage.device,
/workspace/python/tvm/relay/frontend/pytorch_utils.py:47: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.
@@ -326,7 +326,7 @@ Look up prediction top 1 index in 1000 class synset.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 25.099 seconds)
+ **Total running time of the script:** ( 1 minutes 36.476 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 2eb131679c..c421ed8a01 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/tmpv5oz_yh1/images/random'
+ '/tmp/tmpzycgpl_j/images/random'
@@ -317,8 +317,8 @@ objects to other stuff? We can display some examples from our datasets using ``m
.. code-block:: none
- /tmp/tmpv5oz_yh1/images/target contains 8144 images
- /tmp/tmpv5oz_yh1/images/random contains 5000 images
+ /tmp/tmpzycgpl_j/images/target contains 8144 images
+ /tmp/tmpzycgpl_j/images/random contains 5000 images
@@ -493,13 +493,13 @@ the time on our validation set).
.. code-block:: none
Epoch 1/3
- 328/328 - 39s - loss: 0.2142 - accuracy: 0.9256 - val_loss: 0.1181 - val_accuracy: 0.9562 - 39s/epoch - 118ms/step
+ 328/328 - 40s - loss: 0.2187 - accuracy: 0.9236 - val_loss: 0.1155 - val_accuracy: 0.9569 - 40s/epoch - 121ms/step
Epoch 2/3
- 328/328 - 34s - loss: 0.0960 - accuracy: 0.9640 - val_loss: 0.0989 - val_accuracy: 0.9634 - 34s/epoch - 104ms/step
+ 328/328 - 35s - loss: 0.1010 - accuracy: 0.9627 - val_loss: 0.1091 - val_accuracy: 0.9615 - 35s/epoch - 108ms/step
Epoch 3/3
- 328/328 - 34s - loss: 0.0616 - accuracy: 0.9763 - val_loss: 0.1012 - val_accuracy: 0.9668 - 34s/epoch - 104ms/step
+ 328/328 - 36s - loss: 0.0630 - accuracy: 0.9780 - val_loss: 0.1066 - val_accuracy: 0.9694 - 36s/epoch - 108ms/step
- <keras.callbacks.History object at 0x7fc569f4e310>
+ <keras.callbacks.History object at 0x7fb6f8a597f0>
@@ -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 0.205 seconds)
+ **Total running time of the script:** ( 4 minutes 26.306 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 3dc04b73c1..cb95e56b9a 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
=================
-**07:15.756** total execution time for **how_to_work_with_microtvm** files:
+**08:02.382** total execution time for **how_to_work_with_microtvm** files:
+-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_train.py` (``micro_train.py``) | 04:00.205 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_train.py` (``micro_train.py``) | 04:26.306 | 0.0 MB |
+-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_pytorch.py` (``micro_pytorch.py``) | 01:25.099 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_pytorch.py` (``micro_pytorch.py``) | 01:36.476 | 0.0 MB |
+-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_autotune.py` (``micro_autotune.py``) | 01:22.712 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_autotune.py` (``micro_autotune.py``) | 01:27.284 | 0.0 MB |
+-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_aot.py` (``micro_aot.py``) | 00:11.553 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_aot.py` (``micro_aot.py``) | 00:13.269 | 0.0 MB |
+-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_custom_ide.py` (``micro_custom_ide.py``) | 00:08.329 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_custom_ide.py` (``micro_custom_ide.py``) | 00:10.734 | 0.0 MB |
+-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_microtvm_micro_tflite.py` (``micro_tflite.py``) | 00:07.858 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_microtvm_micro_tflite.py` (``micro_tflite.py``) | 00:08.313 | 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 045c21bf8e..e59034db60 100644
--- a/docs/_sources/how_to/work_with_relay/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/work_with_relay/sg_execution_times.rst.txt
@@ -5,14 +5,14 @@
Computation times
=================
-**00:37.199** total execution time for **how_to_work_with_relay** files:
+**00:39.623** total execution time for **how_to_work_with_relay** files:
+----------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_relay_using_pipeline_executor.py` (``using_pipeline_executor.py``) | 00:32.204 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_relay_using_pipeline_executor.py` (``using_pipeline_executor.py``) | 00:34.510 | 0.0 MB |
+----------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_relay_using_external_lib.py` (``using_external_lib.py``) | 00:03.081 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_relay_using_external_lib.py` (``using_external_lib.py``) | 00:03.425 | 0.0 MB |
+----------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_relay_build_gcn.py` (``build_gcn.py``) | 00:01.908 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_relay_build_gcn.py` (``build_gcn.py``) | 00:01.682 | 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 9425f1ec81..b1d918af28 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 0x7fca22cd4af0>
+ <function my_cuda_math_rule at 0x7fb7e346c670>
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 dee08feae4..44aafc147c 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
=================
-**00:05.488** total execution time for **how_to_work_with_schedules** files:
+**00:05.744** total execution time for **how_to_work_with_schedules** files:
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_intrin_math.py` (``intrin_math.py``) | 00:02.484 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_intrin_math.py` (``intrin_math.py``) | 00:02.621 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_tensorize.py` (``tensorize.py``) | 00:01.319 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_tensorize.py` (``tensorize.py``) | 00:01.325 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_reduction.py` (``reduction.py``) | 00:00.707 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_reduction.py` (``reduction.py``) | 00:00.744 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_scan.py` (``scan.py``) | 00:00.695 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_scan.py` (``scan.py``) | 00:00.742 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_extern_op.py` (``extern_op.py``) | 00:00.118 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_extern_op.py` (``extern_op.py``) | 00:00.126 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_schedule_primitives.py` (``schedule_primitives.py``) | 00:00.068 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_tedd.py` (``tedd.py``) | 00:00.078 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_how_to_work_with_schedules_tedd.py` (``tedd.py``) | 00:00.065 | 0.0 MB |
+| :ref:`sphx_glr_how_to_work_with_schedules_schedule_primitives.py` (``schedule_primitives.py``) | 00:00.071 | 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``) | 00:00.038 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/docs/_sources/topic/vta/tutorials/frontend/deploy_detection.rst.txt b/docs/_sources/topic/vta/tutorials/frontend/deploy_detection.rst.txt
index fde5cf6701..dab628e150 100644
--- a/docs/_sources/topic/vta/tutorials/frontend/deploy_detection.rst.txt
+++ b/docs/_sources/topic/vta/tutorials/frontend/deploy_detection.rst.txt
@@ -337,7 +337,7 @@ The compilation steps are:
/workspace/python/tvm/relay/build_module.py:345: DeprecationWarning: Please use input parameter mod (tvm.IRModule) instead of deprecated parameter mod (tvm.relay.function.Function)
warnings.warn(
- yolov3-tiny inference graph built in 25.53s!
+ yolov3-tiny inference graph built in 30.62s!
@@ -445,6 +445,11 @@ Download test image
+.. rst-class:: sphx-glr-timing
+
+ **Total running time of the script:** ( 1 minutes 3.960 seconds)
+
+
.. _sphx_glr_download_topic_vta_tutorials_frontend_deploy_detection.py:
.. only:: html
diff --git a/docs/_sources/topic/vta/tutorials/frontend/sg_execution_times.rst.txt b/docs/_sources/topic/vta/tutorials/frontend/sg_execution_times.rst.txt
index a0f2a441e2..5c4d823fdd 100644
--- a/docs/_sources/topic/vta/tutorials/frontend/sg_execution_times.rst.txt
+++ b/docs/_sources/topic/vta/tutorials/frontend/sg_execution_times.rst.txt
@@ -5,8 +5,8 @@
Computation times
=================
-**00:57.604** total execution time for **topic_vta_tutorials_frontend** files:
+**01:03.960** total execution time for **topic_vta_tutorials_frontend** files:
+--------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_frontend_deploy_detection.py` (``deploy_detection.py``) | 00:57.604 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_frontend_deploy_detection.py` (``deploy_detection.py``) | 01:03.960 | 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 a5d4aef898..59a7805ee2 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
=================
-**00:03.161** total execution time for **topic_vta_tutorials_optimize** files:
+**00:03.329** total execution time for **topic_vta_tutorials_optimize** files:
+--------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_optimize_convolution_opt.py` (``convolution_opt.py``) | 00:02.682 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_optimize_convolution_opt.py` (``convolution_opt.py``) | 00:02.827 | 0.0 MB |
+--------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_optimize_matrix_multiply_opt.py` (``matrix_multiply_opt.py``) | 00:00.479 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_optimize_matrix_multiply_opt.py` (``matrix_multiply_opt.py``) | 00:00.502 | 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 2cc55a6310..345234d794 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
=================
-**00:00.790** total execution time for **topic_vta_tutorials** files:
+**00:00.857** total execution time for **topic_vta_tutorials** files:
+---------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_matrix_multiply.py` (``matrix_multiply.py``) | 00:00.410 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_matrix_multiply.py` (``matrix_multiply.py``) | 00:00.446 | 0.0 MB |
+---------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_topic_vta_tutorials_vta_get_started.py` (``vta_get_started.py``) | 00:00.380 | 0.0 MB |
+| :ref:`sphx_glr_topic_vta_tutorials_vta_get_started.py` (``vta_get_started.py``) | 00:00.411 | 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 7a9c8423d3..d6383a9a66 100644
--- a/docs/_sources/tutorial/auto_scheduler_matmul_x86.rst.txt
+++ b/docs/_sources/tutorial/auto_scheduler_matmul_x86.rst.txt
@@ -207,6 +207,13 @@ trials, we can load the best schedule from the log file and apply it.
+.. rst-class:: sphx-glr-script-out
+
+ .. code-block:: none
+
+ *E
+
+
@@ -318,7 +325,7 @@ We build the binary and check its correctness and performance.
.. code-block:: none
- Execution time of this operator: 94.533 ms
+ Execution time of this operator: 95.742 ms
@@ -434,7 +441,7 @@ operations.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 1 minutes 18.268 seconds)
+ **Total running time of the script:** ( 1 minutes 40.690 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 81b23444be..b194cb922a 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: 12.71/12.71 result: MeasureResult(costs=(0.021120435,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6168291568756104, timestamp=1709442189.0156748) [('tile_y', [-1, 8]), ('tile_x', [-1, 512])],None,93
- No: 2 GFLOPS: 12.13/12.71 result: MeasureResult(costs=(0.022138276800000002,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6292176246643066, timestamp=1709442189.6182208) [('tile_y', [-1, 32]), ('tile_x', [-1, 32])],None,55
- No: 3 GFLOPS: 14.92/14.92 result: MeasureResult(costs=(0.0179935134,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6141660213470459, timestamp=1709442190.152436) [('tile_y', [-1, 32]), ('tile_x', [-1, 64])],None,65
- No: 4 GFLOPS: 1.95/14.92 result: MeasureResult(costs=(0.1379243996,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.460136890411377, timestamp=1709442192.6115048) [('tile_y', [-1, 8]), ('tile_x', [-1, 1])],None,3
- No: 5 GFLOPS: 0.52/14.92 result: MeasureResult(costs=(0.5160550722,), error_no=MeasureErrorNo.NO_ERROR, all_cost=8.538965702056885, timestamp=1709442201.2627144) [('tile_y', [-1, 64]), ('tile_x', [-1, 1])],None,6
- No: 6 GFLOPS: 3.76/14.92 result: MeasureResult(costs=(0.0713156574,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.4036555290222168, timestamp=1709442202.6553006) [('tile_y', [-1, 256]), ('tile_x', [-1, 8])],None,38
- No: 7 GFLOPS: 6.80/14.92 result: MeasureResult(costs=(0.039459817800000005,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.878687858581543, timestamp=1709442203.5375729) [('tile_y', [-1, 2]), ('tile_x', [-1, 4])],None,21
- No: 8 GFLOPS: 11.95/14.92 result: MeasureResult(costs=(0.0224570772,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6415936946868896, timestamp=1709442204.1640162) [('tile_y', [-1, 64]), ('tile_x', [-1, 256])],None,86
- No: 9 GFLOPS: 2.92/14.92 result: MeasureResult(costs=(0.0919324894,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.692439317703247, timestamp=1709442205.9650574) [('tile_y', [-1, 16]), ('tile_x', [-1, 2])],None,14
- No: 10 GFLOPS: 7.01/14.92 result: MeasureResult(costs=(0.038269403,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.8210561275482178, timestamp=1709442206.826159) [('tile_y', [-1, 1]), ('tile_x', [-1, 8])],None,30
+ No: 1 GFLOPS: 1.04/1.04 result: MeasureResult(costs=(0.2579244276,), error_no=MeasureErrorNo.NO_ERROR, all_cost=4.398144483566284, timestamp=1709481204.5625556) [('tile_y', [-1, 32]), ('tile_x', [-1, 2])],None,15
+ No: 2 GFLOPS: 9.60/9.60 result: MeasureResult(costs=(0.0279607932,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7569215297698975, timestamp=1709481205.2714326) [('tile_y', [-1, 4]), ('tile_x', [-1, 64])],None,62
+ No: 3 GFLOPS: 8.63/9.60 result: MeasureResult(costs=(0.031095556199999996,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7979679107666016, timestamp=1709481206.0328102) [('tile_y', [-1, 1]), ('tile_x', [-1, 128])],None,70
+ No: 4 GFLOPS: 11.41/11.41 result: MeasureResult(costs=(0.0235182078,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.660240888595581, timestamp=1709481206.670224) [('tile_y', [-1, 128]), ('tile_x', [-1, 32])],None,57
+ No: 5 GFLOPS: 9.19/11.41 result: MeasureResult(costs=(0.029194921599999996,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.8320753574371338, timestamp=1709481207.6228092) [('tile_y', [-1, 8]), ('tile_x', [-1, 128])],None,73
+ No: 6 GFLOPS: 10.83/11.41 result: MeasureResult(costs=(0.0247936104,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6568913459777832, timestamp=1709481208.2835255) [('tile_y', [-1, 2]), ('tile_x', [-1, 512])],None,91
+ No: 7 GFLOPS: 0.50/11.41 result: MeasureResult(costs=(0.532163555,), error_no=MeasureErrorNo.NO_ERROR, all_cost=8.774232387542725, timestamp=1709481217.0453434) [('tile_y', [-1, 32]), ('tile_x', [-1, 1])],None,5
+ No: 8 GFLOPS: 8.05/11.41 result: MeasureResult(costs=(0.0333619932,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.8005805015563965, timestamp=1709481217.8369071) [('tile_y', [-1, 1]), ('tile_x', [-1, 16])],None,40
+ No: 9 GFLOPS: 8.54/11.41 result: MeasureResult(costs=(0.0314221768,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.8118586540222168, timestamp=1709481218.758825) [('tile_y', [-1, 512]), ('tile_x', [-1, 64])],None,69
+ No: 10 GFLOPS: 9.85/11.41 result: MeasureResult(costs=(0.0272452378,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.684053897857666, timestamp=1709481219.4521518) [('tile_y', [-1, 8]), ('tile_x', [-1, 32])],None,53
diff --git a/docs/_sources/tutorial/autotvm_relay_x86.rst.txt b/docs/_sources/tutorial/autotvm_relay_x86.rst.txt
index a00fcb4d91..01be7b24ba 100644
--- a/docs/_sources/tutorial/autotvm_relay_x86.rst.txt
+++ b/docs/_sources/tutorial/autotvm_relay_x86.rst.txt
@@ -311,7 +311,7 @@ standard deviation.
.. code-block:: none
- {'mean': 467.92921693000034, 'median': 467.40489145000197, 'std': 2.0345062157885114}
+ {'mean': 495.3516902299998, 'median': 496.1572859500052, 'std': 3.235179294384345}
@@ -582,31 +582,31 @@ the tuning data to.
.. code-block:: none
- [Task 1/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 1/25] Current/Best: 13.36/ 18.74 GFLOPS | Progress: (4/20) | 8.69 s [Task 1/25] Current/Best: 10.95/ 18.74 GFLOPS | Progress: (8/20) | 12.12 s [Task 1/25] Current/Best: 9.02/ 20.29 GFLOPS | Progress: (12/20) | 15.14 s [Task 1/25] Current/Best: 23.88/ 23.88 GFLOPS | Progress: (16/20) | 17.30 s [Task 1/25] Current/Best: 17.22/ 23.88 GFLOPS | Progress: (20/20) | 19.37 s Done.
- [Task 2/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 2/25] Current/Best: 13.67/ 13.67 GFLOPS | Progress: (4/20) | 3.81 s [Task 2/25] Current/Best: 7.85/ 20.37 GFLOPS | Progress: (8/20) | 5.39 s [Task 2/25] Current/Best: 17.79/ 20.37 GFLOPS | Progress: (12/20) | 6.85 s [Task 2/25] Current/Best: 11.88/ 20.62 GFLOPS | Progress: (16/20) | 8.21 s [Task 2/25] Current/Best: 15.66/ 20.62 GFLOPS | Progress: (20/20) | 10.77 s Done.
- [Task 3/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 3/25] Current/Best: 14.62/ 17.95 GFLOPS | Progress: (4/20) | 5.51 s [Task 3/25] Current/Best: 16.50/ 24.36 GFLOPS | Progress: (8/20) | 7.59 s [Task 3/25] Current/Best: 6.72/ 24.36 GFLOPS | Progress: (12/20) | 10.10 s [Task 3/25] Current/Best: 19.62/ 24.36 GFLOPS | Progress: (16/20) | 12.64 s [Task 3/25] Current/Best: 6.78/ 24.36 GFLOPS | Progress: (20/20) | 15.81 s Done.
- [Task 4/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 4/25] Current/Best: 12.06/ 16.64 GFLOPS | Progress: (4/20) | 5.12 s [Task 4/25] Current/Best: 5.92/ 16.64 GFLOPS | Progress: (8/20) | 7.41 s [Task 4/25] Current/Best: 13.21/ 18.93 GFLOPS | Progress: (12/20) | 10.03 s [Task 4/25] Current/Best: 15.32/ 18.93 GFLOPS | Progress: (16/20) | 11.74 s [Task 4/25] Current/Best: 19.28/ 19.81 GFLOPS | Progress: (20/20) | 13.49 s Done.
- [Task 5/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 5/25] Current/Best: 8.20/ 18.58 GFLOPS | Progress: (4/20) | 4.57 s [Task 5/25] Current/Best: 8.58/ 18.58 GFLOPS | Progress: (8/20) | 7.28 s [Task 5/25] Current/Best: 4.20/ 18.58 GFLOPS | Progress: (12/20) | 9.45 s [Task 5/25] Current/Best: 13.87/ 18.58 GFLOPS | Progress: (16/20) | 11.23 s [Task 5/25] Current/Best: 12.83/ 18.58 GFLOPS | Progress: (20/20) | 13.43 s Done.
- [Task 6/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 6/25] Current/Best: 16.72/ 16.72 GFLOPS | Progress: (4/20) | 5.23 s [Task 6/25] Current/Best: 15.88/ 16.72 GFLOPS | Progress: (8/20) | 7.51 s [Task 6/25] Current/Best: 13.65/ 19.01 GFLOPS | Progress: (12/20) | 11.06 s [Task 6/25] Current/Best: 3.58/ 19.01 GFLOPS | Progress: (16/20) | 13.99 s [Task 6/25] Current/Best: 1.78/ 19.01 GFLOPS | Progress: (20/20) | 19.66 s Done.
- [Task 7/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 7/25] Current/Best: 16.07/ 19.54 GFLOPS | Progress: (4/20) | 4.85 s [Task 7/25] Current/Best: 3.23/ 22.17 GFLOPS | Progress: (8/20) | 8.03 s [Task 7/25] Current/Best: 14.64/ 22.17 GFLOPS | Progress: (12/20) | 10.80 s [Task 7/25] Current/Best: 17.20/ 22.17 GFLOPS | Progress: (16/20) | 12.91 s [Task 7/25] Current/Best: 18.70/ 22.17 GFLOPS | Progress: (20/20) | 15.26 s Done.
- [Task 8/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 8/25] Current/Best: 12.32/ 14.35 GFLOPS | Progress: (4/20) | 13.59 s [Task 8/25] Current/Best: 12.23/ 14.35 GFLOPS | Progress: (8/20) | 17.46 s [Task 8/25] Current/Best: 11.35/ 14.35 GFLOPS | Progress: (12/20) | 20.40 s [Task 8/25] Current/Best: 7.75/ 15.92 GFLOPS | Progress: (16/20) | 23.42 s [Task 8/25] Current/Best: 13.61/ 16.65 GFLOPS | Progress: (20/20) | 26.54 s Done.
- [Task 9/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 9/25] Current/Best: 6.77/ 20.16 GFLOPS | Progress: (4/20) | 4.14 s [Task 9/25] Current/Best: 21.69/ 21.69 GFLOPS | Progress: (8/20) | 5.89 s [Task 9/25] Current/Best: 12.82/ 21.69 GFLOPS | Progress: (12/20) | 7.83 s [Task 9/25] Current/Best: 14.79/ 21.69 GFLOPS | Progress: (16/20) | 10.89 s [Task 9/25] Current/Best: 9.36/ 21.69 GFLOPS | Progress: (20/20) | 12.64 s Done.
- [Task 10/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 10/25] Current/Best: 8.54/ 16.10 GFLOPS | Progress: (4/20) | 4.05 s [Task 10/25] Current/Best: 6.94/ 22.00 GFLOPS | Progress: (8/20) | 5.78 s [Task 10/25] Current/Best: 13.09/ 22.00 GFLOPS | Progress: (12/20) | 8.10 s [Task 10/25] Current/Best: 4.62/ 22.00 GFLOPS | Progress: (16/20) | 10.23 s [Task 10/25] Current/Best: 17.77/ 22.00 GFLOPS | Progress: (20/20) | 12.09 s Done.
- [Task 11/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 11/25] Current/Best: 21.06/ 21.06 GFLOPS | Progress: (4/20) | 4.70 s [Task 11/25] Current/Best: 15.23/ 21.06 GFLOPS | Progress: (8/20) | 6.61 s [Task 11/25] Current/Best: 6.38/ 21.06 GFLOPS | Progress: (12/20) | 8.69 s [Task 11/25] Current/Best: 20.35/ 21.06 GFLOPS | Progress: (16/20) | 11.47 s [Task 11/25] Current/Best: 20.57/ 21.06 GFLOPS | Progress: (20/20) | 14.04 s Done.
- [Task 12/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 12/25] Current/Best: 14.32/ 15.30 GFLOPS | Progress: (4/20) | 5.98 s [Task 12/25] Current/Best: 10.23/ 19.73 GFLOPS | Progress: (8/20) | 11.76 s [Task 12/25] Current/Best: 17.41/ 19.73 GFLOPS | Progress: (12/20) | 13.89 s [Task 12/25] Current/Best: 20.79/ 20.79 GFLOPS | Progress: (16/20) | 16.13 s [Task 12/25] Current/Best: 14.19/ 20.79 GFLOPS | Progress: (20/20) | 20.67 s Done.
- [Task 13/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 13/25] Current/Best: 17.48/ 19.99 GFLOPS | Progress: (4/20) | 4.55 s [Task 13/25] Current/Best: 9.91/ 22.31 GFLOPS | Progress: (8/20) | 6.87 s [Task 13/25] Current/Best: 15.58/ 22.31 GFLOPS | Progress: (12/20) | 10.21 s [Task 13/25] Current/Best: 9.12/ 22.31 GFLOPS | Progress: (16/20) | 12.98 s [Task 13/25] Current/Best: 10.90/ 22.31 GFLOPS | Progress: (20/20) | 15.35 s Done.
- [Task 14/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 14/25] Current/Best: 20.53/ 20.53 GFLOPS | Progress: (4/20) | 14.18 s [Task 14/25] Current/Best: 10.38/ 20.53 GFLOPS | Progress: (8/20) | 26.19 s [Task 14/25] Current/Best: 14.12/ 20.53 GFLOPS | Progress: (12/20) | 29.89 s [Task 14/25] Current/Best: 13.29/ 20.53 GFLOPS | Progress: (16/20) | 38.72 s [Task 14/25] Current/Best: 14.91/ 20.53 GFLOPS | Progress: (20/20) | 46.87 s Done.
- [Task 15/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 15/25] Current/Best: 8.24/ 18.50 GFLOPS | Progress: (4/20) | 6.75 s [Task 15/25] Current/Best: 8.21/ 18.50 GFLOPS | Progress: (8/20) | 11.45 s [Task 15/25] Current/Best: 8.31/ 18.50 GFLOPS | Progress: (12/20) | 18.14 s [Task 15/25] Current/Best: 20.27/ 20.28 GFLOPS | Progress: (16/20) | 19.63 s [Task 15/25] Current/Best: 10.14/ 21.19 GFLOPS | Progress: (20/20) | 22.30 s Done.
- [Task 16/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 16/25] Current/Best: 14.43/ 17.35 GFLOPS | Progress: (4/20) | 4.32 s [Task 16/25] Current/Best: 15.73/ 17.35 GFLOPS | Progress: (8/20) | 7.52 s [Task 16/25] Current/Best: 16.63/ 17.35 GFLOPS | Progress: (12/20) | 9.63 s [Task 16/25] Current/Best: 13.36/ 22.92 GFLOPS | Progress: (16/20) | 11.48 s [Task 16/25] Current/Best: 16.98/ 22.92 GFLOPS | Progress: (20/20) | 13.28 s Done.
- [Task 17/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 17/25] Current/Best: 7.95/ 20.36 GFLOPS | Progress: (4/20) | 5.49 s [Task 17/25] Current/Best: 11.73/ 22.55 GFLOPS | Progress: (8/20) | 8.94 s [Task 17/25] Current/Best: 14.12/ 22.55 GFLOPS | Progress: (12/20) | 11.30 s [Task 17/25] Current/Best: 9.02/ 22.55 GFLOPS | Progress: (16/20) | 13.64 s [Task 17/25] Current/Best: 3.20/ 22.55 GFLOPS | Progress: (20/20) | 16.75 s Done.
- [Task 18/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 18/25] Current/Best: 9.56/ 20.02 GFLOPS | Progress: (4/20) | 5.60 s [Task 18/25] Current/Best: 10.19/ 20.02 GFLOPS | Progress: (8/20) | 10.36 s [Task 18/25] Current/Best: 19.19/ 20.02 GFLOPS | Progress: (12/20) | 12.34 s [Task 18/25] Current/Best: 16.92/ 20.02 GFLOPS | Progress: (16/20) | 17.69 s [Task 18/25] Current/Best: 16.37/ 22.32 GFLOPS | Progress: (20/20) | 19.51 s Done.
- [Task 19/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 19/25] Current/Best: 20.33/ 20.33 GFLOPS | Progress: (4/20) | 4.76 s [Task 19/25] Current/Best: 9.57/ 20.33 GFLOPS | Progress: (8/20) | 12.08 s [Task 19/25] Current/Best: 19.59/ 20.33 GFLOPS | Progress: (12/20) | 15.58 s [Task 19/25] Current/Best: 10.68/ 22.62 GFLOPS | Progress: (16/20) | 18.76 s [Task 19/25] Current/Best: 4.97/ 22.62 GFLOPS | Progress: (20/20) | 21.95 s Done.
- [Task 20/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 20/25] Current/Best: 2.75/ 16.17 GFLOPS | Progress: (4/20) | 9.92 s [Task 20/25] Current/Best: 7.71/ 16.17 GFLOPS | Progress: (8/20) | 17.57 s [Task 20/25] Current/Best: 17.62/ 19.06 GFLOPS | Progress: (12/20) | 19.81 s [Task 20/25] Current/Best: 21.71/ 21.71 GFLOPS | Progress: (16/20) | 23.37 s [Task 20/25] Current/Best: 19.21/ 21.71 GFLOPS | Progress: (20/20) | 31.35 s Done.
- [Task 21/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 21/25] Current/Best: 19.59/ 19.59 GFLOPS | Progress: (4/20) | 9.03 s [Task 21/25] Current/Best: 7.89/ 19.59 GFLOPS | Progress: (8/20) | 16.36 s [Task 21/25] Current/Best: 9.44/ 23.67 GFLOPS | Progress: (12/20) | 22.13 s [Task 21/25] Current/Best: 15.15/ 23.67 GFLOPS | Progress: (16/20) | 25.91 s [Task 21/25] Current/Best: 12.10/ 23.67 GFLOPS | Progress: (20/20) | 27.64 s Done.
- [Task 22/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 22/25] Current/Best: 21.53/ 21.53 GFLOPS | Progress: (4/20) | 4.44 s [Task 22/25] Current/Best: 4.46/ 21.53 GFLOPS | Progress: (8/20) | 6.25 s [Task 22/25] Current/Best: 16.49/ 21.53 GFLOPS | Progress: (12/20) | 7.86 s [Task 22/25] Current/Best: 12.33/ 21.53 GFLOPS | Progress: (16/20) | 9.96 s [Task 22/25] Current/Best: 18.55/ 21.53 GFLOPS | Progress: (20/20) | 11.65 s Done.
- [Task 23/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 23/25] Current/Best: 12.47/ 12.47 GFLOPS | Progress: (4/20) | 6.32 s [Task 23/25] Current/Best: 9.35/ 21.27 GFLOPS | Progress: (8/20) | 9.61 s [Task 23/25] Current/Best: 18.35/ 21.27 GFLOPS | Progress: (12/20) | 12.13 s [Task 23/25] Current/Best: 12.54/ 22.25 GFLOPS | Progress: (16/20) | 15.04 s [Task 23/25] Current/Best: 13.71/ 22.25 GFLOPS | Progress: (20/20) | 18.18 s Done.
- [Task 24/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 24/25] Current/Best: 6.39/ 6.39 GFLOPS | Progress: (4/20) | 13.53 s [Task 24/25] Current/Best: 5.82/ 6.39 GFLOPS | Progress: (8/20) | 26.20 s [Task 24/25] Current/Best: 4.57/ 6.39 GFLOPS | Progress: (12/20) | 37.18 s [Task 24/25] Current/Best: 3.98/ 10.41 GFLOPS | Progress: (16/20) | 42.12 s [Task 24/25] Current/Best: 5.10/ 10.41 GFLOPS | Progress: (20/20) | 43.64 s Done.
- [Task 25/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 25/25] Current/Best: 1.60/ 8.32 GFLOPS | Progress: (4/20) | 3.87 s [Task 25/25] Current/Best: 9.59/ 9.59 GFLOPS | Progress: (8/20) | 8.56 s [Task 25/25] Current/Best: 6.33/ 9.59 GFLOPS | Progress: (12/20) | 19.48 s [Task 25/25] Current/Best: 8.97/ 9.79 GFLOPS | Progress: (16/20) | 30.47 s [Task 25/25] Current/Best: 5.17/ 9.79 GFLOPS | Progress: (20/20) | 32.89 s
+ [Task 1/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 1/25] Current/Best: 20.87/ 23.44 GFLOPS | Progress: (4/20) | 9.13 s [Task 1/25] Current/Best: 12.72/ 23.44 GFLOPS | Progress: (8/20) | 11.68 s [Task 1/25] Current/Best: 9.43/ 23.44 GFLOPS | Progress: (12/20) | 14.30 s [Task 1/25] Current/Best: 13.79/ 23.95 GFLOPS | Progress: (16/20) | 17.09 s [Task 1/25] Current/Best: 10.92/ 23.95 GFLOPS | Progress: (20/20) | 20.63 s Done.
+ [Task 2/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 2/25] Current/Best: 13.32/ 18.07 GFLOPS | Progress: (4/20) | 4.12 s [Task 2/25] Current/Best: 12.99/ 19.19 GFLOPS | Progress: (8/20) | 5.97 s [Task 2/25] Current/Best: 9.65/ 19.19 GFLOPS | Progress: (12/20) | 7.79 s [Task 2/25] Current/Best: 13.19/ 19.19 GFLOPS | Progress: (16/20) | 9.42 s [Task 2/25] Current/Best: 3.35/ 19.19 GFLOPS | Progress: (20/20) | 11.83 s Done.
+ [Task 3/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 3/25] Current/Best: 14.08/ 19.78 GFLOPS | Progress: (4/20) | 5.47 s [Task 3/25] Current/Best: 6.23/ 19.78 GFLOPS | Progress: (8/20) | 8.74 s [Task 3/25] Current/Best: 7.67/ 19.78 GFLOPS | Progress: (12/20) | 11.79 s [Task 3/25] Current/Best: 6.51/ 21.15 GFLOPS | Progress: (16/20) | 14.10 s [Task 3/25] Current/Best: 16.83/ 21.15 GFLOPS | Progress: (20/20) | 17.24 s Done.
+ [Task 4/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 4/25] Current/Best: 13.43/ 20.20 GFLOPS | Progress: (4/20) | 4.47 s [Task 4/25] Current/Best: 11.40/ 20.20 GFLOPS | Progress: (8/20) | 6.46 s [Task 4/25] Current/Best: 19.79/ 20.20 GFLOPS | Progress: (12/20) | 9.28 s [Task 4/25] Current/Best: 7.31/ 20.20 GFLOPS | Progress: (16/20) | 11.31 s [Task 4/25] Current/Best: 10.22/ 20.20 GFLOPS | Progress: (20/20) | 13.72 s Done.
+ [Task 5/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 5/25] Current/Best: 15.31/ 18.91 GFLOPS | Progress: (4/20) | 4.64 s [Task 5/25] Current/Best: 17.52/ 18.91 GFLOPS | Progress: (8/20) | 6.69 s [Task 5/25] Current/Best: 12.67/ 18.91 GFLOPS | Progress: (12/20) | 8.48 s [Task 5/25] Current/Best: 15.21/ 19.03 GFLOPS | Progress: (16/20) | 10.51 s [Task 5/25] Current/Best: 16.35/ 19.03 GFLOPS | Progress: (20/20) | 12.42 s Done.
+ [Task 6/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 6/25] Current/Best: 12.01/ 18.27 GFLOPS | Progress: (4/20) | 5.39 s [Task 6/25] Current/Best: 16.30/ 18.27 GFLOPS | Progress: (8/20) | 8.13 s [Task 6/25] Current/Best: 11.63/ 18.27 GFLOPS | Progress: (12/20) | 11.57 s [Task 6/25] Current/Best: 3.92/ 18.27 GFLOPS | Progress: (16/20) | 14.36 s [Task 6/25] Current/Best: 3.41/ 18.27 GFLOPS | Progress: (20/20) | 17.63 s Done.
+ [Task 7/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 7/25] Current/Best: 6.51/ 19.67 GFLOPS | Progress: (4/20) | 4.91 s [Task 7/25] Current/Best: 21.53/ 21.53 GFLOPS | Progress: (8/20) | 6.77 s [Task 7/25] Current/Best: 12.30/ 21.53 GFLOPS | Progress: (12/20) | 9.32 s [Task 7/25] Current/Best: 12.75/ 22.95 GFLOPS | Progress: (16/20) | 11.56 s [Task 7/25] Current/Best: 1.59/ 22.95 GFLOPS | Progress: (20/20) | 15.30 s Done.
+ [Task 8/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 8/25] Current/Best: 12.69/ 16.15 GFLOPS | Progress: (4/20) | 13.97 s [Task 8/25] Current/Best: 9.81/ 16.15 GFLOPS | Progress: (8/20) | 22.55 s [Task 8/25] Current/Best: 11.60/ 16.15 GFLOPS | Progress: (12/20) | 30.19 s [Task 8/25] Current/Best: 10.78/ 16.15 GFLOPS | Progress: (16/20) | 36.09 s [Task 8/25] Current/Best: 7.57/ 16.43 GFLOPS | Progress: (20/20) | 41.20 s [Task 9/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 9/25] Current/Best: 13.38/ 17.96 GFLOPS | Progress: (4/20) | 4.52 s [Task 9/25] Current/Best: 14.35/ 17.96 GFLOPS | Progress: (8/20) | 7.10 s [Task 9/25] Current/Best: 15.16/ 17.96 GFLOPS | Progress: (12/20) | 13.49 s [Task 9/25] Current/Best: 7.51/ 21.28 GFLOPS | Progress: (16/20) | 21.64 s [Task 9/25] Current/Best: 17.95/ 21.28 GFLOPS | Progress: (20/
20) | 32.95 s Done.
+ [Task 10/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 10/25] Current/Best: 13.32/ 17.34 GFLOPS | Progress: (4/20) | 5.63 s [Task 10/25] Current/Best: 8.36/ 17.34 GFLOPS | Progress: (8/20) | 7.46 s [Task 10/25] Current/Best: 12.03/ 17.34 GFLOPS | Progress: (12/20) | 10.72 s [Task 10/25] Current/Best: 18.29/ 18.29 GFLOPS | Progress: (16/20) | 12.37 s [Task 10/25] Current/Best: 8.94/ 18.29 GFLOPS | Progress: (20/20) | 14.25 s Done.
+ [Task 11/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 11/25] Current/Best: 1.57/ 15.79 GFLOPS | Progress: (4/20) | 7.94 s [Task 11/25] Current/Best: 10.24/ 20.44 GFLOPS | Progress: (8/20) | 10.35 s [Task 11/25] Current/Best: 12.70/ 20.44 GFLOPS | Progress: (12/20) | 12.80 s [Task 11/25] Current/Best: 16.04/ 20.44 GFLOPS | Progress: (16/20) | 15.79 s [Task 11/25] Current/Best: 6.12/ 20.44 GFLOPS | Progress: (20/20) | 18.39 s Done.
+ [Task 12/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 12/25] Current/Best: 12.99/ 13.19 GFLOPS | Progress: (4/20) | 8.20 s [Task 12/25] Current/Best: 10.53/ 13.19 GFLOPS | Progress: (8/20) | 12.33 s [Task 12/25] Current/Best: 2.66/ 19.18 GFLOPS | Progress: (12/20) | 15.35 s [Task 12/25] Current/Best: 17.54/ 19.18 GFLOPS | Progress: (16/20) | 20.48 s [Task 12/25] Current/Best: 18.12/ 19.18 GFLOPS | Progress: (20/20) | 24.74 s Done.
+ [Task 13/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 13/25] Current/Best: 12.14/ 19.34 GFLOPS | Progress: (4/20) | 5.03 s [Task 13/25] Current/Best: 20.32/ 20.32 GFLOPS | Progress: (8/20) | 8.15 s [Task 13/25] Current/Best: 9.05/ 20.32 GFLOPS | Progress: (12/20) | 11.42 s [Task 13/25] Current/Best: 13.20/ 20.32 GFLOPS | Progress: (16/20) | 15.35 s [Task 13/25] Current/Best: 11.42/ 20.32 GFLOPS | Progress: (20/20) | 19.42 s Done.
+ [Task 14/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 14/25] Current/Best: 9.36/ 18.46 GFLOPS | Progress: (4/20) | 6.89 s [Task 14/25] Current/Best: 17.40/ 20.71 GFLOPS | Progress: (8/20) | 9.26 s [Task 14/25] Current/Best: 3.49/ 20.71 GFLOPS | Progress: (12/20) | 20.73 s [Task 14/25] Current/Best: 15.46/ 20.71 GFLOPS | Progress: (16/20) | 24.37 s [Task 14/25] Current/Best: 12.82/ 20.71 GFLOPS | Progress: (20/20) | 27.61 s [Task 15/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 15/25] Current/Best: 21.06/ 21.06 GFLOPS | Progress: (4/20) | 7.88 s [Task 15/25] Current/Best: 11.47/ 22.05 GFLOPS | Progress: (8/20) | 10.85 s [Task 15/25] Current/Best: 7.33/ 22.05 GFLOPS | Progress: (12/20) | 13.90 s [Task 15/25] Current/Best: 5.26/ 22.05 GFLOPS | Progress: (16/20) | 16.09 s [Task 15/25] Current/Best: 6.25/ 22.05 GFLOPS | Progress: (20/2
0) | 20.43 s Done.
+ [Task 16/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 16/25] Current/Best: 6.83/ 19.09 GFLOPS | Progress: (4/20) | 4.79 s Done.
+ Done.
+ [Task 16/25] Current/Best: 7.84/ 19.09 GFLOPS | Progress: (8/20) | 6.60 s [Task 16/25] Current/Best: 6.23/ 19.09 GFLOPS | Progress: (12/20) | 8.78 s [Task 16/25] Current/Best: 9.45/ 19.09 GFLOPS | Progress: (16/20) | 11.44 s [Task 16/25] Current/Best: 6.34/ 19.09 GFLOPS | Progress: (20/20) | 13.93 s Done.
+ [Task 17/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 17/25] Current/Best: 19.26/ 21.95 GFLOPS | Progress: (4/20) | 5.83 s [Task 17/25] Current/Best: 20.72/ 22.07 GFLOPS | Progress: (8/20) | 8.41 s [Task 17/25] Current/Best: 6.72/ 22.07 GFLOPS | Progress: (12/20) | 11.39 s [Task 17/25] Current/Best: 18.69/ 22.07 GFLOPS | Progress: (16/20) | 13.92 s [Task 17/25] Current/Best: 22.69/ 22.69 GFLOPS | Progress: (20/20) | 16.40 s Done.
+ [Task 18/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 18/25] Current/Best: 14.43/ 15.03 GFLOPS | Progress: (4/20) | 6.55 s [Task 18/25] Current/Best: 19.77/ 19.77 GFLOPS | Progress: (8/20) | 9.96 s [Task 18/25] Current/Best: 14.71/ 19.77 GFLOPS | Progress: (12/20) | 12.71 s [Task 18/25] Current/Best: 18.04/ 21.05 GFLOPS | Progress: (16/20) | 15.52 s [Task 18/25] Current/Best: 15.27/ 21.05 GFLOPS | Progress: (20/20) | 20.12 s Done.
+ [Task 19/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 19/25] Current/Best: 19.71/ 19.71 GFLOPS | Progress: (4/20) | 6.96 s [Task 19/25] Current/Best: 11.67/ 19.71 GFLOPS | Progress: (8/20) | 11.04 s [Task 19/25] Current/Best: 1.55/ 19.71 GFLOPS | Progress: (12/20) | 16.30 s [Task 19/25] Current/Best: 9.54/ 19.71 GFLOPS | Progress: (16/20) | 19.73 s [Task 19/25] Current/Best: 8.61/ 20.45 GFLOPS | Progress: (20/20) | 22.78 s Done.
+ [Task 20/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 20/25] Current/Best: 6.51/ 12.04 GFLOPS | Progress: (4/20) | 10.70 s [Task 20/25] Current/Best: 5.08/ 21.79 GFLOPS | Progress: (8/20) | 18.10 s [Task 20/25] Current/Best: 16.87/ 21.79 GFLOPS | Progress: (12/20) | 22.82 s [Task 20/25] Current/Best: 3.59/ 21.79 GFLOPS | Progress: (16/20) | 29.78 s [Task 20/25] Current/Best: 8.00/ 21.79 GFLOPS | Progress: (20/20) | 32.37 s Done.
+ [Task 21/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 21/25] Current/Best: 8.34/ 16.49 GFLOPS | Progress: (4/20) | 12.00 s [Task 21/25] Current/Best: 15.55/ 16.49 GFLOPS | Progress: (8/20) | 15.04 s [Task 21/25] Current/Best: 10.27/ 20.99 GFLOPS | Progress: (12/20) | 17.57 s [Task 21/25] Current/Best: 15.99/ 20.99 GFLOPS | Progress: (16/20) | 19.58 s [Task 21/25] Current/Best: 11.73/ 20.99 GFLOPS | Progress: (20/20) | 21.64 s Done.
+ [Task 22/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 22/25] Current/Best: 10.90/ 19.46 GFLOPS | Progress: (4/20) | 5.45 s [Task 22/25] Current/Best: 16.91/ 19.93 GFLOPS | Progress: (8/20) | 7.08 s [Task 22/25] Current/Best: 17.20/ 19.93 GFLOPS | Progress: (12/20) | 10.44 s [Task 22/25] Current/Best: 15.35/ 19.93 GFLOPS | Progress: (16/20) | 13.66 s [Task 22/25] Current/Best: 14.82/ 19.93 GFLOPS | Progress: (20/20) | 15.59 s Done.
+ [Task 23/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 23/25] Current/Best: 8.37/ 10.24 GFLOPS | Progress: (4/20) | 8.20 s [Task 23/25] Current/Best: 10.53/ 13.50 GFLOPS | Progress: (8/20) | 12.68 s [Task 23/25] Current/Best: 10.19/ 20.39 GFLOPS | Progress: (12/20) | 15.74 s [Task 23/25] Current/Best: 11.96/ 20.39 GFLOPS | Progress: (16/20) | 20.97 s [Task 23/25] Current/Best: 12.02/ 20.39 GFLOPS | Progress: (20/20) | 24.70 s Done.
+ [Task 24/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 24/25] Current/Best: 2.02/ 7.88 GFLOPS | Progress: (4/20) | 13.31 s [Task 24/25] Current/Best: 3.13/ 8.76 GFLOPS | Progress: (8/20) | 21.95 s [Task 24/25] Current/Best: 3.08/ 9.38 GFLOPS | Progress: (12/20) | 32.96 s [Task 24/25] Current/Best: 9.40/ 9.40 GFLOPS | Progress: (16/20) | 43.94 s [Task 24/25] Current/Best: 2.99/ 9.40 GFLOPS | Progress: (20/20) | 54.97 s [Task 25/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 25/25] Current/Best: 6.12/ 6.12 GFLOPS | Progress: (4/20) | 5.25 s [Task 25/25] Current/Best: 5.70/ 9.50 GFLOPS | Progress: (8/20) | 16.22 s Done.
+ [Task 25/25] Current/Best: 4.17/ 9.50 GFLOPS | Progress: (12/20) | 27.21 s [Task 25/25] Current/Best: 5.62/ 9.50 GFLOPS | Progress: (16/20) | 30.60 s [Task 25/25] Current/Best: 1.55/ 9.50 GFLOPS | Progress: (20/20) | 41.58 s
@@ -708,8 +708,8 @@ Verify that the optimized model runs and produces the same results:
.. code-block:: none
- class='n02123045 tabby, tabby cat' with probability=0.621103
- class='n02123159 tiger cat' with probability=0.356379
+ class='n02123045 tabby, tabby cat' with probability=0.621104
+ class='n02123159 tiger cat' with probability=0.356378
class='n02124075 Egyptian cat' with probability=0.019712
class='n02129604 tiger, Panthera tigris' with probability=0.001215
class='n04040759 radiator' with probability=0.000262
@@ -766,8 +766,8 @@ improvement in comparing the optimized model to the unoptimized model.
.. code-block:: none
- optimized: {'mean': 392.2611214599965, 'median': 391.39143365000564, 'std': 2.269423049084776}
- unoptimized: {'mean': 467.92921693000034, 'median': 467.40489145000197, 'std': 2.0345062157885114}
+ optimized: {'mean': 426.1756008200018, 'median': 425.4070273000025, 'std': 1.7172570777414227}
+ unoptimized: {'mean': 495.3516902299998, 'median': 496.1572859500052, 'std': 3.235179294384345}
@@ -790,7 +790,7 @@ profiling/benchmarking.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** ( 12 minutes 35.385 seconds)
+ **Total running time of the script:** ( 14 minutes 4.625 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 8667222837..82e6b90a51 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
- 1.181e-07 secs/op
+ 1.198e-07 secs/op
diff --git a/docs/_sources/tutorial/intro_topi.rst.txt b/docs/_sources/tutorial/intro_topi.rst.txt
index 6e8f6026b7..73a195a602 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, 0x88f8150)), stage(b, placeholder(b, 0x312e38a0)), 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, 0x2a8ecf70)), stage(b, placeholder(b, 0x17e875b0)), 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 7be97ad29f..d53501021d 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
=================
-**16:01.762** total execution time for **tutorial** files:
+**18:00.164** total execution time for **tutorial** files:
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_autotvm_relay_x86.py` (``autotvm_relay_x86.py``) | 12:35.385 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_autotvm_relay_x86.py` (``autotvm_relay_x86.py``) | 14:04.625 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_auto_scheduler_matmul_x86.py` (``auto_scheduler_matmul_x86.py``) | 01:18.268 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_auto_scheduler_matmul_x86.py` (``auto_scheduler_matmul_x86.py``) | 01:40.690 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_tensor_expr_get_started.py` (``tensor_expr_get_started.py``) | 00:59.035 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_tensor_expr_get_started.py` (``tensor_expr_get_started.py``) | 01:02.210 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_relay_quick_start.py` (``relay_quick_start.py``) | 00:41.715 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_relay_quick_start.py` (``relay_quick_start.py``) | 00:44.190 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_autotvm_matmul_x86.py` (``autotvm_matmul_x86.py``) | 00:24.313 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_autotvm_matmul_x86.py` (``autotvm_matmul_x86.py``) | 00:25.460 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_tensor_ir_blitz_course.py` (``tensor_ir_blitz_course.py``) | 00:01.988 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_tensor_ir_blitz_course.py` (``tensor_ir_blitz_course.py``) | 00:01.814 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_intro_topi.py` (``intro_topi.py``) | 00:00.868 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_intro_topi.py` (``intro_topi.py``) | 00:00.964 | 0.0 MB |
+------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorial_cross_compilation_and_rpc.py` (``cross_compilation_and_rpc.py``) | 00:00.189 | 0.0 MB |
+| :ref:`sphx_glr_tutorial_cross_compilation_and_rpc.py` (``cross_compilation_and_rpc.py``) | 00:00.211 | 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 cec3cb9412..bdca34fd7d 100644
--- a/docs/_sources/tutorial/tensor_expr_get_started.rst.txt
+++ b/docs/_sources/tutorial/tensor_expr_get_started.rst.txt
@@ -285,7 +285,7 @@ helper function to run a profile of the TVM generated code.
.. code-block:: none
- Numpy running time: 0.000005
+ 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: 0.000006
+ parallel: 0.000008
@@ -444,7 +444,7 @@ factor to be the number of threads on your CPU.
.. code-block:: none
- vector: 0.000038
+ vector: 0.000039
# from tvm.script import ir as I
# from tvm.script import tir as T
@@ -498,10 +498,10 @@ We can now compare the different schedules
.. code-block:: none
Operator Timing Performance
- numpy 5.366780001168081e-06 1.0
- naive 5.8041e-06 1.0814864776899251
- parallel 5.8909e-06 1.0976600491761996
- vector 3.80238e-05 7.08503050091938
+ numpy 8.006929999737621e-06 1.0
+ naive 6.0307e-06 0.7531850534721322
+ parallel 8.1656e-06 1.0198165839176287
+ vector 3.94912e-05 4.9321275446761845
@@ -922,7 +922,7 @@ matrix multiplication.
.. code-block:: none
- Numpy running time: 0.015292
+ Numpy running time: 0.018324
@@ -980,7 +980,7 @@ optimizations.
.. code-block:: none
- none: 3.413095
+ none: 3.546359
@@ -1080,7 +1080,7 @@ schedule.
.. code-block:: none
- blocking: 0.282792
+ blocking: 0.299746
@@ -1164,7 +1164,7 @@ already cache friendly from our previous optimizations.
.. code-block:: none
- vectorization: 0.265991
+ vectorization: 0.278895
# 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: 0.109700
+ loop permutation: 0.119459
# 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: 0.102992
+ array packing: 0.108993
# 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: 0.097179
+ block caching: 0.112493
# 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: 0.115386
+ parallelization: 0.133821
# 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 3.4130947926 1.0
- blocking 0.2827922101 0.08285507062772693
- vectorization 0.2659907575 0.07793242604239999
- loop permutation 0.109699882 0.03214088346970103
- array packing 0.10299175889999998 0.030175475677762745
- block caching 0.09717869100000001 0.02847230941569367
- parallelization 0.1153857461 0.03380678038892157
+ none 3.5463593468 1.0
+ blocking 0.2997457018 0.08452208941275809
+ vectorization 0.27889544689999995 0.07864274869709882
+ loop permutation 0.11945942229999999 0.033685086765894795
+ array packing 0.1089933914 0.03073388248101491
+ block caching 0.11249329769999998 0.031720783682428144
+ parallelization 0.1338211818 0.03773480595550797
@@ -1594,6 +1594,11 @@ operations with tunable parameters that allows you to automatically optimize
the computation for specific platforms.
+.. rst-class:: sphx-glr-timing
+
+ **Total running time of the script:** ( 1 minutes 2.210 seconds)
+
+
.. _sphx_glr_download_tutorial_tensor_expr_get_started.py:
.. only:: html
diff --git a/docs/commit_hash b/docs/commit_hash
index 16c99affec..8622cff475 100644
--- a/docs/commit_hash
+++ b/docs/commit_hash
@@ -1 +1 @@
-e56c5e1ef268058406fa46d7b013888e1aacdf7e
+e5420436a0fa5ee60764b6c300dfd4ff93d7b069
diff --git a/docs/how_to/compile_models/from_darknet.html b/docs/how_to/compile_models/from_darknet.html
index 297d1ab05a..8c75ce710c 100644
--- a/docs/how_to/compile_models/from_darknet.html
+++ b/docs/how_to/compile_models/from_darknet.html
@@ -604,7 +604,7 @@ class:['truck 0.9266'] left:471 top:83 right:689 bottom:169
class:['bicycle 0.9984'] left:111 top:113 right:577 bottom:447
</pre></div>
</div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 28.980 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 35.201 seconds)</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-compile-models-from-darknet-py">
<div class="sphx-glr-download sphx-glr-download-python docutils container">
<p><a class="reference download internal" download="" href="../../_downloads/7716f96385bd5abb6e822041e285be54/from_darknet.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">from_darknet.py</span></code></a></p>
diff --git a/docs/how_to/compile_models/from_oneflow.html b/docs/how_to/compile_models/from_oneflow.html
index fd23becb64..ceb2614034 100644
--- a/docs/how_to/compile_models/from_oneflow.html
+++ b/docs/how_to/compile_models/from_oneflow.html
@@ -468,12 +468,15 @@ Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdo
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Downloading: "https://oneflow-public.oss-cn-beijing.aliyuncs.com/model_zoo/flowvision/classification/ResNet/resnet18.zip" to /workspace/.oneflow/flowvision_cache/resnet18.zip
0%| | 0.00/41.5M [00:00<?, ?B/s]
- 19%|#9 | 7.99M/41.5M [00:00<00:00, 53.7MB/s]
- 39%|###8 | 16.0M/41.5M [00:00<00:00, 66.3MB/s]
- 58%|#####7 | 24.0M/41.5M [00:00<00:00, 64.2MB/s]
- 77%|#######7 | 32.0M/41.5M [00:00<00:00, 69.7MB/s]
- 94%|#########3| 38.8M/41.5M [00:00<00:00, 69.5MB/s]
-100%|##########| 41.5M/41.5M [00:00<00:00, 65.2MB/s]
+ 15%|#5 | 6.33M/41.5M [00:00<00:01, 23.5MB/s]
+ 26%|##5 | 10.7M/41.5M [00:00<00:01, 30.8MB/s]
+ 35%|###4 | 14.3M/41.5M [00:00<00:00, 33.0MB/s]
+ 43%|####2 | 17.8M/41.5M [00:00<00:00, 30.4MB/s]
+ 54%|#####3 | 22.3M/41.5M [00:00<00:00, 35.2MB/s]
+ 63%|######2 | 26.0M/41.5M [00:00<00:00, 31.1MB/s]
+ 77%|#######7 | 32.0M/41.5M [00:00<00:00, 38.0MB/s]
+ 96%|#########6| 40.0M/41.5M [00:01<00:00, 47.6MB/s]
+100%|##########| 41.5M/41.5M [00:01<00:00, 38.7MB/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 ec674d9c40..eea59c411c 100644
--- a/docs/how_to/compile_models/from_paddle.html
+++ b/docs/how_to/compile_models/from_paddle.html
@@ -503,7 +503,7 @@ To begin, we’ll install PaddlePaddle>=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 0.668 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 3.759 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 ee460b37af..3d0040b210 100644
--- a/docs/how_to/compile_models/from_pytorch.html
+++ b/docs/how_to/compile_models/from_pytorch.html
@@ -451,12 +451,13 @@ be unstable.</p>
Downloading: "https://download.pytorch.org/models/resnet18-f37072fd.pth" to /workspace/.cache/torch/hub/checkpoints/resnet18-f37072fd.pth
0%| | 0.00/44.7M [00:00<?, ?B/s]
- 18%|#7 | 7.99M/44.7M [00:00<00:00, 49.3MB/s]
- 37%|###7 | 16.6M/44.7M [00:00<00:00, 68.2MB/s]
- 54%|#####3 | 24.0M/44.7M [00:00<00:00, 67.8MB/s]
- 72%|#######1 | 32.0M/44.7M [00:00<00:00, 60.3MB/s]
- 90%|########9 | 40.0M/44.7M [00:00<00:00, 57.6MB/s]
-100%|##########| 44.7M/44.7M [00:00<00:00, 64.8MB/s]
+ 18%|#7 | 7.99M/44.7M [00:00<00:00, 78.3MB/s]
+ 40%|#### | 18.1M/44.7M [00:00<00:00, 61.2MB/s]
+ 54%|#####4 | 24.2M/44.7M [00:00<00:00, 59.1MB/s]
+ 68%|######7 | 30.3M/44.7M [00:00<00:00, 54.4MB/s]
+ 86%|########5 | 38.3M/44.7M [00:00<00:00, 46.8MB/s]
+ 96%|#########6| 43.0M/44.7M [00:00<00:00, 45.9MB/s]
+100%|##########| 44.7M/44.7M [00:00<00:00, 52.7MB/s]
</pre></div>
</div>
</div>
diff --git a/docs/how_to/compile_models/from_tensorflow.html b/docs/how_to/compile_models/from_tensorflow.html
index 9a4425fd1c..2633f5316c 100644
--- a/docs/how_to/compile_models/from_tensorflow.html
+++ b/docs/how_to/compile_models/from_tensorflow.html
@@ -671,7 +671,7 @@ banana (score = 0.00022)
desk (score = 0.00019)
</pre></div>
</div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 28.596 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 33.270 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 490681efa7..e78a61c3fc 100644
--- a/docs/how_to/compile_models/sg_execution_times.html
+++ b/docs/how_to/compile_models/sg_execution_times.html
@@ -360,7 +360,7 @@
<div class="section" id="computation-times">
<span id="sphx-glr-how-to-compile-models-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>06:24.210</strong> total execution time for <strong>how_to_compile_models</strong> files:</p>
+<p><strong>07:00.228</strong> total execution time for <strong>how_to_compile_models</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 81%" />
@@ -369,39 +369,39 @@
</colgroup>
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="from_darknet.html#sphx-glr-how-to-compile-models-from-darknet-py"><span class="std std-ref">Compile YOLO-V2 and YOLO-V3 in DarkNet Models</span></a> (<code class="docutils literal notranslate"><span class="pre">from_darknet.py</span></code>)</p></td>
-<td><p>01:28.980</p></td>
+<td><p>01:35.201</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>01:28.596</p></td>
+<td><p>01:33.270</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>01:00.668</p></td>
+<td><p>01:03.759</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="from_oneflow.html#sphx-glr-how-to-compile-models-from-oneflow-py"><span class="std std-ref">Compile OneFlow Models</span></a> (<code class="docutils literal notranslate"><span class="pre">from_oneflow.py</span></code>)</p></td>
-<td><p>00:41.630</p></td>
+<td><p>00:50.840</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="from_coreml.html#sphx-glr-how-to-compile-models-from-coreml-py"><span class="std std-ref">Compile CoreML Models</span></a> (<code class="docutils literal notranslate"><span class="pre">from_coreml.py</span></code>)</p></td>
-<td><p>00:37.900</p></td>
+<td><p>00:42.125</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="from_pytorch.html#sphx-glr-how-to-compile-models-from-pytorch-py"><span class="std std-ref">Compile PyTorch Models</span></a> (<code class="docutils literal notranslate"><span class="pre">from_pytorch.py</span></code>)</p></td>
-<td><p>00:27.724</p></td>
+<td><p>00:32.308</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="from_keras.html#sphx-glr-how-to-compile-models-from-keras-py"><span class="std std-ref">Compile Keras Models</span></a> (<code class="docutils literal notranslate"><span class="pre">from_keras.py</span></code>)</p></td>
-<td><p>00:24.946</p></td>
+<td><p>00:26.523</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="from_tflite.html#sphx-glr-how-to-compile-models-from-tflite-py"><span class="std std-ref">Compile TFLite Models</span></a> (<code class="docutils literal notranslate"><span class="pre">from_tflite.py</span></code>)</p></td>
-<td><p>00:11.014</p></td>
+<td><p>00:13.296</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="from_onnx.html#sphx-glr-how-to-compile-models-from-onnx-py"><span class="std std-ref">Compile ONNX Models</span></a> (<code class="docutils literal notranslate"><span class="pre">from_onnx.py</span></code>)</p></td>
-<td><p>00:02.753</p></td>
+<td><p>00:02.905</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 7f6aeb0d4f..9a9111a3f7 100644
--- a/docs/how_to/deploy_models/deploy_model_on_adreno.html
+++ b/docs/how_to/deploy_models/deploy_model_on_adreno.html
@@ -850,10 +850,10 @@ Top5 predictions:
Evaluate inference time cost...
Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 3991.6275 3992.7249 3994.8343 3988.1788 2.4917
+ 4125.3211 4125.6872 4129.7223 4121.9819 2.0487
</pre></div>
</div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 16.767 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 21.428 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 d1ee9e73bb..8094c51cb2 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 +458,25 @@ 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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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 c6dad6a36e..c4d78ff648 100644
--- a/docs/how_to/deploy_models/deploy_model_on_android.html
+++ b/docs/how_to/deploy_models/deploy_model_on_android.html
@@ -682,7 +682,7 @@ to the remote android device.</p>
Evaluate inference time cost...
Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 14.2786 14.3319 14.5337 13.9691 0.1952
+ 15.7816 15.7406 16.3996 15.4383 0.2527
</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 122c86bd1d..e7544896e1 100644
--- a/docs/how_to/deploy_models/deploy_object_detection_pytorch.html
+++ b/docs/how_to/deploy_models/deploy_object_detection_pytorch.html
@@ -474,29 +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).
@@ -587,7 +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>
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-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes 21.234 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes 51.467 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">
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<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 53adaee139..1a92bdd43b 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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@@ -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)
- 85.8752 85.8443 86.6964 85.5273 0.2292
+ 89.0989 89.0082 90.9337 88.6764 0.3626
</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 26.551 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 33.458 seconds)</p>
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<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 22cd81581c..d98385c65a 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)
- 104.0252 103.8798 105.9323 102.9080 0.8070
+ 110.1695 110.1146 111.8264 109.7324 0.2986
</pre></div>
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<div class="admonition note">
diff --git a/docs/how_to/deploy_models/sg_execution_times.html b/docs/how_to/deploy_models/sg_execution_times.html
index 7072a56302..7724d085a3 100644
--- a/docs/how_to/deploy_models/sg_execution_times.html
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@@ -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>
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+<p><strong>10:22.508</strong> total execution time for <strong>how_to_deploy_models</strong> files:</p>
<table class="docutils align-default">
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@@ -369,39 +369,39 @@
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<tr class="row-odd"><td><p><a class="reference internal" href="deploy_object_detection_pytorch.html#sphx-glr-how-to-deploy-models-deploy-object-detection-pytorch-py"><span class="std std-ref">Compile PyTorch Object Detection Models</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_object_detection_pytorch.py</span></code>)</p></td>
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<tr class="row-even"><td><p><a class="reference internal" href="deploy_prequantized.html#sphx-glr-how-to-deploy-models-deploy-prequantized-py"><span class="std std-ref">Deploy a Framework-prequantized Model with TVM</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_prequantized.py</span></code>)</p></td>
-<td><p>01:26.551</p></td>
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<tr class="row-odd"><td><p><a class="reference internal" href="deploy_model_on_adreno.html#sphx-glr-how-to-deploy-models-deploy-model-on-adreno-py"><span class="std std-ref">Deploy the Pretrained Model on Adreno™</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_model_on_adreno.py</span></code>)</p></td>
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<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>
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<tr class="row-even"><td><p><a class="reference internal" href="deploy_model_on_adreno_tvmc.html#sphx-glr-how-to-deploy-models-deploy-model-on-adreno-tvmc-py"><span class="std std-ref">Deploy the Pretrained Model on Adreno™ with tvmc Interface</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_model_on_adreno_tvmc.py</span></code>)</p></td>
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<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>
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<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>
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<tr class="row-odd"><td><p><a class="reference internal" href="deploy_sparse.html#sphx-glr-how-to-deploy-models-deploy-sparse-py"><span class="std std-ref">Deploy a Hugging Face Pruned Model on CPU</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_sparse.py</span></code>)</p></td>
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diff --git a/docs/how_to/extend_tvm/sg_execution_times.html b/docs/how_to/extend_tvm/sg_execution_times.html
index 41bb87bcdd..45fb270b2b 100644
--- a/docs/how_to/extend_tvm/sg_execution_times.html
+++ b/docs/how_to/extend_tvm/sg_execution_times.html
@@ -360,7 +360,7 @@
<div class="section" id="computation-times">
<span id="sphx-glr-how-to-extend-tvm-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>00:03.878</strong> total execution time for <strong>how_to_extend_tvm</strong> files:</p>
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<table class="docutils align-default">
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@@ -369,15 +369,15 @@
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<tr class="row-odd"><td><p><a class="reference internal" href="use_pass_instrument.html#sphx-glr-how-to-extend-tvm-use-pass-instrument-py"><span class="std std-ref">How to Use TVM Pass Instrument</span></a> (<code class="docutils literal notranslate"><span class="pre">use_pass_instrument.py</span></code>)</p></td>
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<tr class="row-odd"><td><p><a class="reference internal" href="low_level_custom_pass.html#sphx-glr-how-to-extend-tvm-low-level-custom-pass-py"><span class="std std-ref">Writing a Customized Pass</span></a> (<code class="docutils literal notranslate"><span class="pre">low_level_custom_pass.py</span></code>)</p></td>
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diff --git a/docs/how_to/extend_tvm/use_pass_instrument.html b/docs/how_to/extend_tvm/use_pass_instrument.html
index a8841121e2..fc16251410 100644
--- a/docs/how_to/extend_tvm/use_pass_instrument.html
+++ b/docs/how_to/extend_tvm/use_pass_instrument.html
@@ -545,10 +545,10 @@ profile the execution time of each passes.</p>
</pre></div>
</div>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Printing results of timing profile...
-InferType: 24570us [24570us] (49.19%; 49.19%)
-FoldScaleAxis: 25378us [6us] (50.81%; 50.81%)
- FoldConstant: 25372us [1752us] (50.80%; 99.98%)
- InferType: 23620us [23620us] (47.29%; 93.10%)
+InferType: 32761us [32761us] (48.89%; 48.89%)
+FoldScaleAxis: 34247us [9us] (51.11%; 51.11%)
+ FoldConstant: 34238us [1833us] (51.10%; 99.97%)
+ InferType: 32405us [32405us] (48.36%; 94.65%)
</pre></div>
</div>
</div>
@@ -570,10 +570,10 @@ Refer to following sections and <a class="reference internal" href="../../refere
</pre></div>
</div>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Printing results of timing profile...
-InferType: 23550us [23550us] (48.71%; 48.71%)
-FoldScaleAxis: 24795us [5us] (51.29%; 51.29%)
- FoldConstant: 24790us [1604us] (51.28%; 99.98%)
- InferType: 23185us [23185us] (47.96%; 93.53%)
+InferType: 32409us [32409us] (48.39%; 48.39%)
+FoldScaleAxis: 34565us [9us] (51.61%; 51.61%)
+ FoldConstant: 34556us [1891us] (51.60%; 99.97%)
+ InferType: 32665us [32665us] (48.77%; 94.53%)
</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 24604f289d..7a38fe2a06 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: 53.610462 ms
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Convolution: 53.496479 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 cf481a357b..4379b39819 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: 11.776899 ms
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>conv2d with tensor core: 11.315878 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 7917ce7bb2..a2f007bde9 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: 0.014264
-Baseline: 3.361264
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Numpy running time: 0.018578
+Baseline: 3.547024
</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: 0.289748
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt1: 0.293961
</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: 0.258940
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt2: 0.284869
</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: 0.109695
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt3: 0.119700
</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: 0.104865
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt4: 0.109677
</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: 0.097337
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt5: 0.112672
</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: 0.115884
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt6: 0.134471
</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 bd4e398e72..c6ef63b23f 100644
--- a/docs/how_to/optimize_operators/sg_execution_times.html
+++ b/docs/how_to/optimize_operators/sg_execution_times.html
@@ -360,7 +360,7 @@
<div class="section" id="computation-times">
<span id="sphx-glr-how-to-optimize-operators-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>00:31.729</strong> total execution time for <strong>how_to_optimize_operators</strong> files:</p>
+<p><strong>00:34.774</strong> total execution time for <strong>how_to_optimize_operators</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 83%" />
@@ -369,15 +369,15 @@
</colgroup>
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="opt_gemm.html#sphx-glr-how-to-optimize-operators-opt-gemm-py"><span class="std std-ref">How to optimize GEMM on CPU</span></a> (<code class="docutils literal notranslate"><span class="pre">opt_gemm.py</span></code>)</p></td>
-<td><p>00:28.808</p></td>
+<td><p>00:31.606</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="opt_conv_tensorcore.html#sphx-glr-how-to-optimize-operators-opt-conv-tensorcore-py"><span class="std std-ref">How to optimize convolution using TensorCores</span></a> (<code class="docutils literal notranslate"><span class="pre">opt_conv_tensorcore.py</span></code>)</p></td>
-<td><p>00:01.760</p></td>
+<td><p>00:01.936</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="opt_conv_cuda.html#sphx-glr-how-to-optimize-operators-opt-conv-cuda-py"><span class="std std-ref">How to optimize convolution on GPU</span></a> (<code class="docutils literal notranslate"><span class="pre">opt_conv_cuda.py</span></code>)</p></td>
-<td><p>00:01.161</p></td>
+<td><p>00:01.232</p></td>
<td><p>0.0 MB</p></td>
</tr>
</tbody>
diff --git a/docs/how_to/tune_with_autoscheduler/sg_execution_times.html b/docs/how_to/tune_with_autoscheduler/sg_execution_times.html
index 54b0415db5..2aecc49da9 100644
--- a/docs/how_to/tune_with_autoscheduler/sg_execution_times.html
+++ b/docs/how_to/tune_with_autoscheduler/sg_execution_times.html
@@ -360,7 +360,7 @@
<div class="section" id="computation-times">
<span id="sphx-glr-how-to-tune-with-autoscheduler-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>03:29.333</strong> total execution time for <strong>how_to_tune_with_autoscheduler</strong> files:</p>
+<p><strong>03:57.735</strong> total execution time for <strong>how_to_tune_with_autoscheduler</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 85%" />
@@ -369,27 +369,27 @@
</colgroup>
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="tune_network_x86.html#sphx-glr-how-to-tune-with-autoscheduler-tune-network-x86-py"><span class="std std-ref">Auto-scheduling a Neural Network for x86 CPU</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_network_x86.py</span></code>)</p></td>
-<td><p>01:31.019</p></td>
+<td><p>01:46.337</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="tune_network_cuda.html#sphx-glr-how-to-tune-with-autoscheduler-tune-network-cuda-py"><span class="std std-ref">Auto-scheduling a Neural Network for NVIDIA GPU</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_network_cuda.py</span></code>)</p></td>
-<td><p>01:10.522</p></td>
+<td><p>01:15.329</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="tune_network_arm.html#sphx-glr-how-to-tune-with-autoscheduler-tune-network-arm-py"><span class="std std-ref">Auto-scheduling a Neural Network for ARM CPU</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_network_arm.py</span></code>)</p></td>
-<td><p>00:17.192</p></td>
+<td><p>00:20.788</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="tune_network_mali.html#sphx-glr-how-to-tune-with-autoscheduler-tune-network-mali-py"><span class="std std-ref">Auto-scheduling a Neural Network for mali GPU</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_network_mali.py</span></code>)</p></td>
-<td><p>00:15.872</p></td>
+<td><p>00:18.999</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="tune_conv2d_layer_cuda.html#sphx-glr-how-to-tune-with-autoscheduler-tune-conv2d-layer-cuda-py"><span class="std std-ref">Auto-scheduling a Convolution Layer for GPU</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_conv2d_layer_cuda.py</span></code>)</p></td>
-<td><p>00:14.632</p></td>
+<td><p>00:16.180</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="tune_sparse_x86.html#sphx-glr-how-to-tune-with-autoscheduler-tune-sparse-x86-py"><span class="std std-ref">Auto-scheduling Sparse Matrix Multiplication on CPU with Custom Sketch Rule</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_sparse_x86.py</span></code>)</p></td>
-<td><p>00:00.098</p></td>
+<td><p>00:00.102</p></td>
<td><p>0.0 MB</p></td>
</tr>
</tbody>
diff --git a/docs/how_to/tune_with_autoscheduler/tune_conv2d_layer_cuda.html b/docs/how_to/tune_with_autoscheduler/tune_conv2d_layer_cuda.html
index 2582f50b45..5351667c8b 100644
--- a/docs/how_to/tune_with_autoscheduler/tune_conv2d_layer_cuda.html
+++ b/docs/how_to/tune_with_autoscheduler/tune_conv2d_layer_cuda.html
@@ -1032,7 +1032,7 @@ class Module:
<span class="p">)</span>
</pre></div>
</div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Execution time of this operator: 0.339 ms
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Execution time of this operator: 0.331 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 7f403daa8e..5370920620 100644
--- a/docs/how_to/tune_with_autoscheduler/tune_network_cuda.html
+++ b/docs/how_to/tune_with_autoscheduler/tune_network_cuda.html
@@ -923,7 +923,7 @@ so we can read the log file and load the best schedules.</p>
Evaluate inference time cost...
Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 3.2047 3.2046 3.2050 3.2044 0.0003
+ 3.2079 3.2080 3.2090 3.2069 0.0008
</pre></div>
</div>
</div>
@@ -945,7 +945,7 @@ to learn how to use the RPC Tracker and RPC Server.
To use the RPC Tracker in auto-scheduler, replace the runner in <code class="code docutils literal notranslate"><span class="pre">TuningOptions</span></code>
with <a class="reference internal" href="../../reference/api/python/auto_scheduler.html#tvm.auto_scheduler.RPCRunner" title="tvm.auto_scheduler.RPCRunner"><code class="xref any py py-class docutils literal notranslate"><span class="pre">auto_scheduler.RPCRunner</span></code></a>.</p></li>
</ol>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 10.522 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 15.329 seconds)</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-tune-with-autoscheduler-tune-network-cuda-py">
<div class="sphx-glr-download sphx-glr-download-python docutils container">
<p><a class="reference download internal" download="" href="../../_downloads/eafe360d52540634c9eea0fa89e804bd/tune_network_cuda.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">tune_network_cuda.py</span></code></a></p>
diff --git a/docs/how_to/tune_with_autoscheduler/tune_network_x86.html b/docs/how_to/tune_with_autoscheduler/tune_network_x86.html
index 55f45a014b..735a12c855 100644
--- a/docs/how_to/tune_with_autoscheduler/tune_network_x86.html
+++ b/docs/how_to/tune_with_autoscheduler/tune_network_x86.html
@@ -945,7 +945,7 @@ so we can read the log file and load the best schedules.</p>
Evaluate inference time cost...
Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 710.4041 710.5803 710.8398 709.7922 0.4455
+ 752.8084 752.4689 753.8253 752.1310 0.7322
</pre></div>
</div>
</div>
@@ -967,7 +967,7 @@ to learn how to use the RPC Tracker and RPC Server.
To use the RPC Tracker in auto-scheduler, replace the runner in <code class="code docutils literal notranslate"><span class="pre">TuningOptions</span></code>
with <a class="reference internal" href="../../reference/api/python/auto_scheduler.html#tvm.auto_scheduler.RPCRunner" title="tvm.auto_scheduler.RPCRunner"><code class="xref any py py-class docutils literal notranslate"><span class="pre">auto_scheduler.RPCRunner</span></code></a>.</p></li>
</ol>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 31.019 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 46.337 seconds)</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-tune-with-autoscheduler-tune-network-x86-py">
<div class="sphx-glr-download sphx-glr-download-python docutils container">
<p><a class="reference download internal" download="" href="../../_downloads/e416b94ca1090b0897c0f6e0df95b911/tune_network_x86.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">tune_network_x86.py</span></code></a></p>
diff --git a/docs/how_to/tune_with_autotvm/sg_execution_times.html b/docs/how_to/tune_with_autotvm/sg_execution_times.html
index 2ab2acec2f..054ccc18e4 100644
--- a/docs/how_to/tune_with_autotvm/sg_execution_times.html
+++ b/docs/how_to/tune_with_autotvm/sg_execution_times.html
@@ -360,7 +360,7 @@
<div class="section" id="computation-times">
<span id="sphx-glr-how-to-tune-with-autotvm-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>00:22.876</strong> total execution time for <strong>how_to_tune_with_autotvm</strong> files:</p>
+<p><strong>00:25.103</strong> total execution time for <strong>how_to_tune_with_autotvm</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 84%" />
@@ -369,22 +369,22 @@
</colgroup>
<tbody>
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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 70e9402c2b..58e78a8aa1 100644
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@@ -630,7 +630,7 @@ and measure running time.</p>
Best config:
,None
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index 343de3232a..7147c584f7 100644
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+++ 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 tvmgen_default_fused_layout_transform 0.93 0.313 (1, 1, 10, 10, 3) 1 1 [0.93]
-Total_time - 297.297 - - - - -
+tvmgen_default_fused_nn_contrib_conv2d_NCHWc tvmgen_default_fused_nn_contrib_conv2d_NCHWc 303.9 98.727 (1, 2, 10, 10, 3) 2 1 [303.9]
+tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 2.964 0.963 (1, 6, 10, 10) 1 1 [2.964]
+tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.955 0.31 (1, 1, 10, 10, 3) 1 1 [0.955]
+Total_time - 307.819 - - - - -
</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 100.25 97.513 (1, 6, 10, 10, 1) 2 1 [100.25]
-tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 1.743 1.695 (1, 6, 10, 10) 1 1 [1.743]
-tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.814 0.792 (1, 3, 10, 10, 1) 1 1 [0.814]
-Total_time - 102.807 - - - - -
+tvmgen_default_fused_nn_contrib_conv2d_NCHWc tvmgen_default_fused_nn_contrib_conv2d_NCHWc 102.2 97.508 (1, 6, 10, 10, 1) 2 1 [102.2]
+tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 1.773 1.692 (1, 6, 10, 10) 1 1 [1.773]
+tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.839 0.801 (1, 3, 10, 10, 1) 1 1 [0.839]
+Total_time - 104.812 - - - - -
</pre></div>
</div>
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index 3cbcbfda8e..2ee01fa07a 100644
--- a/docs/how_to/work_with_microtvm/micro_pytorch.html
+++ b/docs/how_to/work_with_microtvm/micro_pytorch.html
@@ -475,8 +475,7 @@ download a cat image and preprocess it to use as the model input.</p>
Downloading: "https://download.pytorch.org/models/quantized/mobilenet_v2_qnnpack_37f702c5.pth" to /workspace/.cache/torch/hub/checkpoints/mobilenet_v2_qnnpack_37f702c5.pth
0%| | 0.00/3.42M [00:00<?, ?B/s]
- 61%|###### | 2.09M/3.42M [00:00<00:00, 21.6MB/s]
-100%|##########| 3.42M/3.42M [00:00<00:00, 34.0MB/s]
+100%|##########| 3.42M/3.42M [00:00<00:00, 62.6MB/s]
/venv/apache-tvm-py3.8/lib/python3.8/site-packages/torch/_utils.py:314: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
device=storage.device,
/workspace/python/tvm/relay/frontend/pytorch_utils.py:47: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.
@@ -604,7 +603,7 @@ via the host <cite>main.cc`</cite> or if a Zephyr emulated board is selected as
Torch top-1 id: 282, class name: tiger cat
</pre></div>
</div>
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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 2ccd8a5624..92135c7217 100644
--- a/docs/how_to/work_with_microtvm/micro_train.html
+++ b/docs/how_to/work_with_microtvm/micro_train.html
@@ -543,7 +543,7 @@ take about <strong>2 minutes</strong> to download the Stanford Cars, while COCO
<a href="https://docs.python.org/3/library/shutil.html#shutil.move" title="shutil.move" class="sphx-glr-backref-module-shutil sphx-glr-backref-type-py-function"><span class="n">shutil</span><span class="o">.</span><span class="n">move</span></a><span class="p">(</span><span class="sa">f</span><span class="s2">"</span><span class="si">{</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-typ [...]
</pre></div>
</div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>'/tmp/tmpv5oz_yh1/images/random'
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>'/tmp/tmpzycgpl_j/images/random'
</pre></div>
</div>
</div>
@@ -603,8 +603,8 @@ objects to other stuff? We can display some examples from our datasets using <co
<span class="n">plt</span><span class="o">.</span><span class="n">axis</span><span class="p">(</span><span class="s2">"off"</span><span class="p">)</span>
</pre></div>
</div>
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-/tmp/tmpv5oz_yh1/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/tmpzycgpl_j/images/target contains 8144 images
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</pre></div>
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</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 - 39s - loss: 0.2142 - accuracy: 0.9256 - val_loss: 0.1181 - val_accuracy: 0.9562 - 39s/epoch - 118ms/step
+328/328 - 40s - loss: 0.2187 - accuracy: 0.9236 - val_loss: 0.1155 - val_accuracy: 0.9569 - 40s/epoch - 121ms/step
Epoch 2/3
-328/328 - 34s - loss: 0.0960 - accuracy: 0.9640 - val_loss: 0.0989 - val_accuracy: 0.9634 - 34s/epoch - 104ms/step
+328/328 - 35s - loss: 0.1010 - accuracy: 0.9627 - val_loss: 0.1091 - val_accuracy: 0.9615 - 35s/epoch - 108ms/step
Epoch 3/3
-328/328 - 34s - loss: 0.0616 - accuracy: 0.9763 - val_loss: 0.1012 - val_accuracy: 0.9668 - 34s/epoch - 104ms/step
+328/328 - 36s - loss: 0.0630 - accuracy: 0.9780 - val_loss: 0.1066 - val_accuracy: 0.9694 - 36s/epoch - 108ms/step
-<keras.callbacks.History object at 0x7fc569f4e310>
+<keras.callbacks.History object at 0x7fb6f8a597f0>
</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>
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<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>
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<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>
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index 24be059902..5a23ed5891 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 0x7fca22cd4af0>
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span><function my_cuda_math_rule at 0x7fb7e346c670>
</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 c5dafe1788..3bb538bbd1 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>00:05.488</strong> total execution time for <strong>how_to_work_with_schedules</strong> files:</p>
+<p><strong>00:05.744</strong> total execution time for <strong>how_to_work_with_schedules</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 83%" />
@@ -369,35 +369,35 @@
</colgroup>
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="intrin_math.html#sphx-glr-how-to-work-with-schedules-intrin-math-py"><span class="std std-ref">Intrinsics and Math Functions</span></a> (<code class="docutils literal notranslate"><span class="pre">intrin_math.py</span></code>)</p></td>
-<td><p>00:02.484</p></td>
+<td><p>00:02.621</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>00:01.319</p></td>
+<td><p>00:01.325</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>00:00.707</p></td>
+<td><p>00:00.744</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>00:00.695</p></td>
+<td><p>00:00.742</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>00:00.118</p></td>
+<td><p>00:00.126</p></td>
<td><p>0.0 MB</p></td>
</tr>
-<tr class="row-even"><td><p><a class="reference internal" href="schedule_primitives.html#sphx-glr-how-to-work-with-schedules-schedule-primitives-py"><span class="std std-ref">Schedule Primitives in TVM</span></a> (<code class="docutils literal notranslate"><span class="pre">schedule_primitives.py</span></code>)</p></td>
-<td><p>00:00.068</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="tedd.html#sphx-glr-how-to-work-with-schedules-tedd-py"><span class="std std-ref">Use Tensor Expression Debug Display (TEDD) for Visualization</span></a> (<code class="docutils literal notranslate"><span class="pre">tedd.py</span></code>)</p></td>
+<td><p>00:00.078</p></td>
<td><p>0.0 MB</p></td>
</tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="tedd.html#sphx-glr-how-to-work-with-schedules-tedd-py"><span class="std std-ref">Use Tensor Expression Debug Display (TEDD) for Visualization</span></a> (<code class="docutils literal notranslate"><span class="pre">tedd.py</span></code>)</p></td>
-<td><p>00:00.065</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="schedule_primitives.html#sphx-glr-how-to-work-with-schedules-schedule-primitives-py"><span class="std std-ref">Schedule Primitives in TVM</span></a> (<code class="docutils literal notranslate"><span class="pre">schedule_primitives.py</span></code>)</p></td>
+<td><p>00:00.071</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>00:00.038</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 05fb039414..98f98a77e8 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 070243c281..65598b1e13 100644
--- a/docs/reference/api/typedoc/classes/ArtifactCache.html
+++ b/docs/reference/api/typedoc/classes/ArtifactCache.html
@@ -27,7 +27,7 @@
<ul class="tsd-hierarchy">
<li><a href="../interfaces/_internal_.ArtifactCacheTemplate.html" class="tsd-signature-type tsd-kind-interface">ArtifactCacheTemplate</a></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L992">runtime.ts:992</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L992">runtime.ts:992</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
<section class="tsd-panel tsd-index-panel">
<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -57,7 +57,7 @@
<h5><span class="tsd-kind-parameter">scope</span>: <span class="tsd-signature-type">string</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <a href="ArtifactCache.html" class="tsd-signature-type tsd-kind-class">ArtifactCache</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L996">runtime.ts:996</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L996">runtime.ts:996</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
<section class="tsd-panel tsd-member"><a id="deleteInCache" class="tsd-anchor"></a>
@@ -75,7 +75,7 @@
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol"><</span><span class="tsd-signature-type">boolean</span><span class="tsd-signature-symbol">></span></h4><aside class="tsd-sources">
<p>Implementation of <a href="../interfaces/_internal_.ArtifactCacheTemplate.html">ArtifactCacheTemplate</a>.<a href="../interfaces/_internal_.ArtifactCacheTemplate.html#deleteInCache">deleteInCache</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L1026">runtime.ts:1026</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L1026">runtime.ts:1026</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="fetchWithCache" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>fetch<wbr/>With<wbr/>Cache</span><a href="#fetchWithCache" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -91,7 +91,7 @@
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol"><</span><span class="tsd-signature-type ">Response</span><span class="tsd-signature-symbol">></span></h4><aside class="tsd-sources">
<p>Implementation of <a href="../interfaces/_internal_.ArtifactCacheTemplate.html">ArtifactCacheTemplate</a>.<a href="../interfaces/_internal_.ArtifactCacheTemplate.html#fetchWithCache">fetchWithCache</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L1000">runtime.ts:1000</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L1000">runtime.ts:1000</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="hasAllKeys" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>has<wbr/>All<wbr/>Keys</span><a href="#hasAllKeys" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -107,7 +107,7 @@
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol"><</span><span class="tsd-signature-type">boolean</span><span class="tsd-signature-symbol">></span></h4><aside class="tsd-sources">
<p>Implementation of <a href="../interfaces/_internal_.ArtifactCacheTemplate.html">ArtifactCacheTemplate</a>.<a href="../interfaces/_internal_.ArtifactCacheTemplate.html#hasAllKeys">hasAllKeys</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L1016">runtime.ts:1016</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L1016">runtime.ts:1016</a></li></ul></aside></li></ul></section></section></div>
<div class="col-sidebar">
<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/DLDataType.html b/docs/reference/api/typedoc/classes/DLDataType.html
index efb61209fb..cd6373e2e4 100644
--- a/docs/reference/api/typedoc/classes/DLDataType.html
+++ b/docs/reference/api/typedoc/classes/DLDataType.html
@@ -23,7 +23,7 @@
<ul class="tsd-hierarchy">
<li><span class="target">DLDataType</span></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L402">runtime.ts:402</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L402">runtime.ts:402</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
<section class="tsd-panel tsd-index-panel">
<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -62,7 +62,7 @@
<h5><span class="tsd-kind-parameter">lanes</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <a href="DLDataType.html" class="tsd-signature-type tsd-kind-class">DLDataType</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L410">runtime.ts:410</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L410">runtime.ts:410</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Properties</h2>
<section class="tsd-panel tsd-member"><a id="bits" class="tsd-anchor"></a>
@@ -71,21 +71,21 @@
<div class="tsd-comment tsd-typography"><p>Number of bits in the data type.</p>
</div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L406">runtime.ts:406</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L406">runtime.ts:406</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="code" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>code</span><a href="#code" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">code</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div>
<div class="tsd-comment tsd-typography"><p>The type code</p>
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<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L404">runtime.ts:404</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L404">runtime.ts:404</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="lanes" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>lanes</span><a href="#lanes" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">lanes</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div>
<div class="tsd-comment tsd-typography"><p>Number of vector lanes.</p>
</div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L408">runtime.ts:408</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L408">runtime.ts:408</a></li></ul></aside></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
<section class="tsd-panel tsd-member"><a id="numStorageBytes" class="tsd-anchor"></a>
@@ -95,7 +95,7 @@
<li class="tsd-description">
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L425">runtime.ts:425</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L425">runtime.ts:425</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="toString" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>to<wbr/>String</span><a href="#toString" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -103,7 +103,7 @@
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<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">string</span></h4><aside class="tsd-sources">
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L416">runtime.ts:416</a></li></ul></aside></li></ul></section></section></div>
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<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/DLDevice.html b/docs/reference/api/typedoc/classes/DLDevice.html
index 9cfc665f1c..fc1bb6e83a 100644
--- a/docs/reference/api/typedoc/classes/DLDevice.html
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@@ -23,7 +23,7 @@
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<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L342">runtime.ts:342</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L342">runtime.ts:342</a></li></ul></aside>
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<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L350">runtime.ts:350</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L350">runtime.ts:350</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Properties</h2>
<section class="tsd-panel tsd-member"><a id="deviceId" class="tsd-anchor"></a>
@@ -70,14 +70,14 @@
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<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L346">runtime.ts:346</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L346">runtime.ts:346</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="deviceType" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>device<wbr/>Type</span><a href="#deviceType" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">device<wbr/>Type</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div>
<div class="tsd-comment tsd-typography"><p>The device type code of the device.</p>
</div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L344">runtime.ts:344</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L344">runtime.ts:344</a></li></ul></aside></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
<section class="tsd-panel tsd-member"><a id="sync" class="tsd-anchor"></a>
@@ -89,7 +89,7 @@
</div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol"><</span><span class="tsd-signature-type">void</span><span class="tsd-signature-symbol">></span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L369">runtime.ts:369</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L369">runtime.ts:369</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="toString" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>to<wbr/>String</span><a href="#toString" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -97,7 +97,7 @@
<li class="tsd-description">
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">string</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L376">runtime.ts:376</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L376">runtime.ts:376</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 b59c26a7d7..e73988b4f2 100644
--- a/docs/reference/api/typedoc/classes/Instance.html
+++ b/docs/reference/api/typedoc/classes/Instance.html
@@ -40,7 +40,7 @@ are not tracked through JS native garbage collection mechanism.</p>
<ul class="tsd-hierarchy">
<li><a href="../interfaces/Disposable.html" class="tsd-signature-type tsd-kind-interface">Disposable</a></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L1052">runtime.ts:1052</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L1052">runtime.ts:1052</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">
@@ -140,24 +140,24 @@ a WASI object, or an object containing wasmLibraryProvider field.</p>
</div></li></ul></div>
<h4 class="tsd-returns-title">Returns <a href="Instance.html" class="tsd-signature-type tsd-kind-class">Instance</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L1081">runtime.ts:1081</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L1081">runtime.ts:1081</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Properties</h2>
<section class="tsd-panel tsd-member"><a id="cacheMetadata" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>cache<wbr/>Metadata</span><a href="#cacheMetadata" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">cache<wbr/>Metadata</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type ">Record</span><span class="tsd-signature-symbol"><</span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">, </span><span class="tsd-signature-type">any</span><span class="tsd-signature-symbol">></span><span class="tsd-signature-symbol"> = {}</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L1055">runtime.ts:1055</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L1055">runtime.ts:1055</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="exports" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>exports</span><a href="#exports" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">exports</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type ">Record</span><span class="tsd-signature-symbol"><</span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">, </span><span class="tsd-signature-type ">Function</span><span class="tsd-signature-symbol">></span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L1054">runtime.ts:1054</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L1054">runtime.ts:1054</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="memory" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>memory</span><a href="#memory" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">memory</span><span class="tsd-signature-symbol">:</span> <a href="_internal_.Memory.html" class="tsd-signature-type tsd-kind-class">Memory</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L1053">runtime.ts:1053</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L1053">runtime.ts:1053</a></li></ul></aside></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
<section class="tsd-panel tsd-member"><a id="applyPresenceAndFrequencyPenalty" class="tsd-anchor"></a>
@@ -193,7 +193,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
</div></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">any</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L1785">runtime.ts:1785</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L1785">runtime.ts:1785</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="applyRepetitionPenalty" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>apply<wbr/>Repetition<wbr/>Penalty</span><a href="#applyRepetitionPenalty" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -218,7 +218,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
</div></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">any</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L1772">runtime.ts:1772</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L1772">runtime.ts:1772</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="applySoftmaxWithTemperature" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>apply<wbr/>Softmax<wbr/>With<wbr/>Temperature</span><a href="#applySoftmaxWithTemperature" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -239,7 +239,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
</div></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">any</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L1802">runtime.ts:1802</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L1802">runtime.ts:1802</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="asyncLoadWebGPUPipelines" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>async<wbr/>Load<wbr/>WebGPUPipelines</span><a href="#asyncLoadWebGPUPipelines" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -256,7 +256,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
</div></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol"><</span><span class="tsd-signature-type">void</span><span class="tsd-signature-symbol">></span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L1960">runtime.ts:1960</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L1960">runtime.ts:1960</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="attachToCurrentScope" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>attach<wbr/>To<wbr/>Current<wbr/>Scope</span><a href="#attachToCurrentScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -283,7 +283,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
</div></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type tsd-kind-type-parameter">T</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L1204">runtime.ts:1204</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L1204">runtime.ts:1204</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="beginScope" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>begin<wbr/>Scope</span><a href="#beginScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -293,7 +293,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
</div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L1163">runtime.ts:1163</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L1163">runtime.ts:1163</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="benchmark" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>benchmark</span><a href="#benchmark" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -328,7 +328,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
<h5><span class="tsd-kind-parameter">repeat</span>: <span class="tsd-signature-type">number</span><span class="tsd-signature-symbol"> = 1</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol"><</span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">[]</span><span class="tsd-signature-symbol">></span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L1122">runtime.ts:1122</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L1122">runtime.ts:1122</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="bindCanvas" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>bind<wbr/>Canvas</span><a href="#bindCanvas" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -345,7 +345,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
</div></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L1810">runtime.ts:1810</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L1810">runtime.ts:1810</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="clearCanvas" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>clear<wbr/>Canvas</span><a href="#clearCanvas" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -355,7 +355,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
</div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L1841">runtime.ts:1841</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L1841">runtime.ts:1841</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="cpu" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>cpu</span><a href="#cpu" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -372,7 +372,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
</div></li></ul></div>
<h4 class="tsd-returns-title">Returns <a href="DLDevice.html" class="tsd-signature-type tsd-kind-class">DLDevice</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L1670">runtime.ts:1670</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L1670">runtime.ts:1670</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="createVirtualMachine" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>create<wbr/>Virtual<wbr/>Machine</span><a href="#createVirtualMachine" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -390,7 +390,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
<h4 class="tsd-returns-title">Returns <a href="VirtualMachine.html" class="tsd-signature-type tsd-kind-class">VirtualMachine</a></h4><p>The created virtual machime.</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L1382">runtime.ts:1382</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L1382">runtime.ts:1382</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="detachFromCurrentScope" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>detach<wbr/>From<wbr/>Current<wbr/>Scope</span><a href="#detachFromCurrentScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -416,7 +416,7 @@ so it won't be released via auto-release during endscope.</p>
</div></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type tsd-kind-type-parameter">T</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L1231">runtime.ts:1231</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L1231">runtime.ts:1231</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="device" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>device</span><a href="#device" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -438,7 +438,7 @@ so it won't be released via auto-release during endscope.</p>
<h4 class="tsd-returns-title">Returns <a href="DLDevice.html" class="tsd-signature-type tsd-kind-class">DLDevice</a></h4><p>The created device.</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/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/e5420436a/web/src/runtime.ts#L1662">runtime.ts:1662</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>dispose</span><a href="#dispose" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -451,7 +451,7 @@ only the first call will take effect.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L1143">runtime.ts:1143</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L1143">runtime.ts:1143</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="empty" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>empty</span><a href="#empty" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -477,7 +477,7 @@ only the first call will take effect.</p>
<h4 class="tsd-returns-title">Returns <a href="NDArray.html" class="tsd-signature-type tsd-kind-class">NDArray</a></h4><p>The created ndarray.</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L1690">runtime.ts:1690</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L1690">runtime.ts:1690</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="endScope" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>end<wbr/>Scope</span><a href="#endScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -490,7 +490,7 @@ a value to parent scope.</p>
</div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L1174">runtime.ts:1174</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L1174">runtime.ts:1174</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="fetchNDArrayCache" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>fetchNDArray<wbr/>Cache</span><a href="#fetchNDArrayCache" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -516,7 +516,7 @@ a value to parent scope.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol"><</span><span class="tsd-signature-type">any</span><span class="tsd-signature-symbol">></span></h4><p>The meta data</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L1473">runtime.ts:1473</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L1473">runtime.ts:1473</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="getGlobalFunc" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get<wbr/>Global<wbr/>Func</span><a href="#getGlobalFunc" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -534,7 +534,7 @@ a value to parent scope.</p>
<h4 class="tsd-returns-title">Returns <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></h4><p>The result function.</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L1319">runtime.ts:1319</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L1319">runtime.ts:1319</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="getParamsFromCache" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get<wbr/>Params<wbr/>From<wbr/>Cache</span><a href="#getParamsFromCache" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -555,7 +555,7 @@ a value to parent scope.</p>
</div></li></ul></div>
<h4 class="tsd-returns-title">Returns <a href="TVMObject.html" class="tsd-signature-type tsd-kind-class">TVMObject</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L1410">runtime.ts:1410</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L1410">runtime.ts:1410</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="getParamsFromCacheByName" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get<wbr/>Params<wbr/>From<wbr/>Cache<wbr/>By<wbr/>Name</span><a href="#getParamsFromCacheByName" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -573,7 +573,7 @@ a value to parent scope.</p>
<h4 class="tsd-returns-title">Returns <a href="TVMObject.html" class="tsd-signature-type tsd-kind-class">TVMObject</a></h4><p>Parameters read.</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L1421">runtime.ts:1421</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L1421">runtime.ts:1421</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="initWebGPU" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>init<wbr/>WebGPU</span><a href="#initWebGPU" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -590,7 +590,7 @@ a value to parent scope.</p>
</div></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L2025">runtime.ts:2025</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L2025">runtime.ts:2025</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="isPackedFunc" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>is<wbr/>Packed<wbr/>Func</span><a href="#isPackedFunc" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -608,7 +608,7 @@ a value to parent scope.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">boolean</span></h4><p>The check result.</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L1354">runtime.ts:1354</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L1354">runtime.ts:1354</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="listGlobalFuncNames" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>list<wbr/>Global<wbr/>Func<wbr/>Names</span><a href="#listGlobalFuncNames" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -619,7 +619,7 @@ a value to parent scope.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">[]</span></h4><p>The name list.</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L1247">runtime.ts:1247</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L1247">runtime.ts:1247</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="makeShapeTuple" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>make<wbr/>Shape<wbr/>Tuple</span><a href="#makeShapeTuple" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -637,7 +637,7 @@ a value to parent scope.</p>
<h4 class="tsd-returns-title">Returns <a href="TVMObject.html" class="tsd-signature-type tsd-kind-class">TVMObject</a></h4><p>The created shape tuple.</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L1875">runtime.ts:1875</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L1875">runtime.ts:1875</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="makeString" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>make<wbr/>String</span><a href="#makeString" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -655,7 +655,7 @@ a value to parent scope.</p>
<h4 class="tsd-returns-title">Returns <a href="_internal_.TVMString.html" class="tsd-signature-type tsd-kind-class">TVMString</a></h4><p>The result TVMString.</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L1866">runtime.ts:1866</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L1866">runtime.ts:1866</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="makeTVMArray" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>makeTVMArray</span><a href="#makeTVMArray" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -675,7 +675,7 @@ and needs to b explicitly disposed.</p>
<h4 class="tsd-returns-title">Returns <a href="TVMArray.html" class="tsd-signature-type tsd-kind-class">TVMArray</a></h4><p>The result array.</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L1854">runtime.ts:1854</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L1854">runtime.ts:1854</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="moveToParentScope" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>move<wbr/>To<wbr/>Parent<wbr/>Scope</span><a href="#moveToParentScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -700,7 +700,7 @@ alive when exit the current scope.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type tsd-kind-type-parameter">T</span></h4><p>The input obj.</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L1217">runtime.ts:1217</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L1217">runtime.ts:1217</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="ndarrayCacheClear" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>ndarray<wbr/>Cache<wbr/>Clear</span><a href="#ndarrayCacheClear" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -710,7 +710,7 @@ alive when exit the current scope.</p>
</div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/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/e5420436a/web/src/runtime.ts#L1461">runtime.ts:1461</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="ndarrayCacheGet" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>ndarray<wbr/>Cache<wbr/>Get</span><a href="#ndarrayCacheGet" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -728,7 +728,7 @@ alive when exit the current scope.</p>
<h4 class="tsd-returns-title">Returns <a href="NDArray.html" class="tsd-signature-type tsd-kind-class">NDArray</a></h4><p>The result.</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L1434">runtime.ts:1434</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L1434">runtime.ts:1434</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="ndarrayCacheRemove" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>ndarray<wbr/>Cache<wbr/>Remove</span><a href="#ndarrayCacheRemove" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -746,7 +746,7 @@ alive when exit the current scope.</p>
<h4 class="tsd-returns-title">Returns <a href="NDArray.html" class="tsd-signature-type tsd-kind-class">NDArray</a></h4><p>The result.</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L1443">runtime.ts:1443</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L1443">runtime.ts:1443</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="ndarrayCacheUpdate" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>ndarray<wbr/>Cache<wbr/>Update</span><a href="#ndarrayCacheUpdate" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -769,7 +769,7 @@ alive when exit the current scope.</p>
<h5><span class="tsd-kind-parameter">override</span>: <span class="tsd-signature-type">boolean</span><span class="tsd-signature-symbol"> = false</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L1452">runtime.ts:1452</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L1452">runtime.ts:1452</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="registerAsyncServerFunc" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>register<wbr/>Async<wbr/>Server<wbr/>Func</span><a href="#registerAsyncServerFunc" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -796,7 +796,7 @@ alive when exit the current scope.</p>
</div></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L1933">runtime.ts:1933</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L1933">runtime.ts:1933</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="registerFunc" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>register<wbr/>Func</span><a href="#registerFunc" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -819,7 +819,7 @@ alive when exit the current scope.</p>
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<ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L1286">runtime.ts:1286</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="registerInitProgressCallback" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>register<wbr/>Init<wbr/>Progress<wbr/>Callback</span><a href="#registerInitProgressCallback" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -836,7 +836,7 @@ alive when exit the current scope.</p>
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<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L1399">runtime.ts:1399</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L1399">runtime.ts:1399</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="registerObjectConstructor" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>register<wbr/>Object<wbr/>Constructor</span><a href="#registerObjectConstructor" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -861,7 +861,7 @@ alive when exit the current scope.</p>
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<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L1912">runtime.ts:1912</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L1912">runtime.ts:1912</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="runtimeStatsText" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>runtime<wbr/>Stats<wbr/>Text</span><a href="#runtimeStatsText" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -871,7 +871,7 @@ alive when exit the current scope.</p>
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<ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L1152">runtime.ts:1152</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="sampleTopPFromLogits" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>sample<wbr/>TopPFrom<wbr/>Logits</span><a href="#sampleTopPFromLogits" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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<ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L1762">runtime.ts:1762</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="scalar" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>scalar</span><a href="#scalar" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -919,7 +919,7 @@ alive when exit the current scope.</p>
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<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L1652">runtime.ts:1652</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L1652">runtime.ts:1652</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="setPackedArguments" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>set<wbr/>Packed<wbr/>Arguments</span><a href="#setPackedArguments" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -949,7 +949,7 @@ Allocate new temporary space from the stack if necessary.</p>
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<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L2158">runtime.ts:2158</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L2158">runtime.ts:2158</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="showImage" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>show<wbr/>Image</span><a href="#showImage" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -966,7 +966,7 @@ Allocate new temporary space from the stack if necessary.</p>
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<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L1819">runtime.ts:1819</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L1819">runtime.ts:1819</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="systemLib" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>system<wbr/>Lib</span><a href="#systemLib" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -978,7 +978,7 @@ System lib is a global module that contains self register functions in startup.<
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<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L1240">runtime.ts:1240</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L1240">runtime.ts:1240</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="toDLDataType" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>toDLData<wbr/>Type</span><a href="#toDLDataType" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -996,7 +996,7 @@ System lib is a global module that contains self register functions in startup.<
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<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L1606">runtime.ts:1606</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L1606">runtime.ts:1606</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="toPackedFunc" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>to<wbr/>Packed<wbr/>Func</span><a href="#toPackedFunc" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -1014,7 +1014,7 @@ System lib is a global module that contains self register functions in startup.<
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<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L1365">runtime.ts:1365</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L1365">runtime.ts:1365</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="typeKey2Index" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>type<wbr/>Key2<wbr/>Index</span><a href="#typeKey2Index" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -1032,7 +1032,7 @@ System lib is a global module that contains self register functions in startup.<
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<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L1884">runtime.ts:1884</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L1884">runtime.ts:1884</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="uniform" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>uniform</span><a href="#uniform" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -1062,7 +1062,7 @@ System lib is a global module that contains self register functions in startup.<
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<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L1736">runtime.ts:1736</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L1736">runtime.ts:1736</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="webgpu" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>webgpu</span><a href="#webgpu" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -1079,7 +1079,7 @@ System lib is a global module that contains self register functions in startup.<
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<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/e56c5e1ef/web/src/runtime.ts#L1678">runtime.ts:1678</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L1678">runtime.ts:1678</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="withNewScope" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>with<wbr/>New<wbr/>Scope</span><a href="#withNewScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -1112,7 +1112,7 @@ System lib is a global module that contains self register functions in startup.<
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<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L1188">runtime.ts:1188</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L1188">runtime.ts:1188</a></li></ul></aside></li></ul></section></section></div>
<div class="col-sidebar">
<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/Module.html b/docs/reference/api/typedoc/classes/Module.html
index 9678c15e58..45203ad2cf 100644
--- a/docs/reference/api/typedoc/classes/Module.html
+++ b/docs/reference/api/typedoc/classes/Module.html
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<ul class="tsd-hierarchy">
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<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L690">runtime.ts:690</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L690">runtime.ts:690</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
<section class="tsd-panel tsd-index-panel">
<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
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<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/e56c5e1ef/web/src/runtime.ts#L695">runtime.ts:695</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L695">runtime.ts:695</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
<section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
@@ -88,7 +88,7 @@ only the first call will take effect.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L705">runtime.ts:705</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L705">runtime.ts:705</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="getFunction" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get<wbr/>Function</span><a href="#getFunction" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -110,7 +110,7 @@ only the first call will take effect.</p>
<h4 class="tsd-returns-title">Returns <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></h4><p>The result function.</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L733">runtime.ts:733</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L733">runtime.ts:733</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="getHandle" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get<wbr/>Handle</span><a href="#getHandle" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -128,7 +128,7 @@ only the first call will take effect.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><p>The handle.</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L720">runtime.ts:720</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L720">runtime.ts:720</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="importModule" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>import<wbr/>Module</span><a href="#importModule" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -145,7 +145,7 @@ only the first call will take effect.</p>
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<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L767">runtime.ts:767</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L767">runtime.ts:767</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 72aafff159..eafb368d7b 100644
--- a/docs/reference/api/typedoc/classes/NDArray.html
+++ b/docs/reference/api/typedoc/classes/NDArray.html
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<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/e56c5e1ef/web/src/runtime.ts#L433">runtime.ts:433</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L433">runtime.ts:433</a></li></ul></aside>
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<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -76,7 +76,7 @@
<h5><span class="tsd-kind-parameter">ctx</span>: <a href="_internal_.RuntimeContext.html" class="tsd-signature-type tsd-kind-class">RuntimeContext</a></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <a href="NDArray.html" class="tsd-signature-type tsd-kind-class">NDArray</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L453">runtime.ts:453</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L453">runtime.ts:453</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Properties</h2>
<section class="tsd-panel tsd-member"><a id="device" class="tsd-anchor"></a>
@@ -85,35 +85,35 @@
<div class="tsd-comment tsd-typography"><p>Device of the array.</p>
</div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L443">runtime.ts:443</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L443">runtime.ts:443</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="dtype" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>dtype</span><a href="#dtype" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">dtype</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">string</span></div>
<div class="tsd-comment tsd-typography"><p>Data type of the array.</p>
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<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L439">runtime.ts:439</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L439">runtime.ts:439</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="isView" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>is<wbr/>View</span><a href="#isView" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">is<wbr/>View</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">boolean</span></div>
<div class="tsd-comment tsd-typography"><p>Whether it is a temporary view that can become invalid after the call.</p>
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<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L445">runtime.ts:445</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L445">runtime.ts:445</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="ndim" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>ndim</span><a href="#ndim" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">ndim</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div>
<div class="tsd-comment tsd-typography"><p>Number of dimensions.</p>
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<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L437">runtime.ts:437</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L437">runtime.ts:437</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="shape" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>shape</span><a href="#shape" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">shape</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">[]</span></div>
<div class="tsd-comment tsd-typography"><p>Shape of the array.</p>
</div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L441">runtime.ts:441</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L441">runtime.ts:441</a></li></ul></aside></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
<section class="tsd-panel tsd-member"><a id="copyFrom" class="tsd-anchor"></a>
@@ -134,7 +134,7 @@ The number of elements must match.</p>
<h4 class="tsd-returns-title">Returns <a href="NDArray.html" class="tsd-signature-type tsd-kind-class">NDArray</a></h4><p>this</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L553">runtime.ts:553</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L553">runtime.ts:553</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="copyFromRawBytes" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>copy<wbr/>From<wbr/>Raw<wbr/>Bytes</span><a href="#copyFromRawBytes" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -152,7 +152,7 @@ The number of elements must match.</p>
<h4 class="tsd-returns-title">Returns <a href="NDArray.html" class="tsd-signature-type tsd-kind-class">NDArray</a></h4><p>this</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L597">runtime.ts:597</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L597">runtime.ts:597</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>dispose</span><a href="#dispose" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -165,7 +165,7 @@ only the first call will take effect.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L538">runtime.ts:538</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L538">runtime.ts:538</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="getDataPtr" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get<wbr/>Data<wbr/>Ptr</span><a href="#getDataPtr" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -176,7 +176,7 @@ only the first call will take effect.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><p>The handle.</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L531">runtime.ts:531</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L531">runtime.ts:531</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="getHandle" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get<wbr/>Handle</span><a href="#getHandle" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -194,7 +194,7 @@ only the first call will take effect.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><p>The handle.</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L519">runtime.ts:519</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L519">runtime.ts:519</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="toArray" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>to<wbr/>Array</span><a href="#toArray" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -206,7 +206,7 @@ the dtype of the NDArray.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Uint8Array</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type ">Int32Array</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type ">Float32Array</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type ">Float64Array</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type ">Int8Array</span></h4><p>The resu [...]
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L663">runtime.ts:663</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L663">runtime.ts:663</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="toRawBytes" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>to<wbr/>Raw<wbr/>Bytes</span><a href="#toRawBytes" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -217,7 +217,7 @@ the dtype of the NDArray.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Uint8Array</span></h4><p>The result array.</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L632">runtime.ts:632</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L632">runtime.ts:632</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="view" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>view</span><a href="#view" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -235,7 +235,7 @@ the dtype of the NDArray.</p>
<h4 class="tsd-returns-title">Returns <a href="NDArray.html" class="tsd-signature-type tsd-kind-class">NDArray</a></h4><p>The new sliced ndarray.</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L508">runtime.ts:508</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L508">runtime.ts:508</a></li></ul></aside></li></ul></section></section></div>
<div class="col-sidebar">
<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/RPCServer.html b/docs/reference/api/typedoc/classes/RPCServer.html
index 6b52eb9e32..66798345a5 100644
--- a/docs/reference/api/typedoc/classes/RPCServer.html
+++ b/docs/reference/api/typedoc/classes/RPCServer.html
@@ -23,7 +23,7 @@
<ul class="tsd-hierarchy">
<li><span class="target">RPCServer</span></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/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/e5420436a/web/src/rpc_server.ts#L77">rpc_server.ts:77</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
<section class="tsd-panel tsd-index-panel">
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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/e56c5e1ef/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/e5420436a/web/src/rpc_server.ts#L100">rpc_server.ts:100</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Properties</h2>
<section class="tsd-panel tsd-member"><a id="getImports" class="tsd-anchor"></a>
@@ -113,12 +113,12 @@
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<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/rpc_server.ts#L83">rpc_server.ts:83</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/rpc_server.ts#L83">rpc_server.ts:83</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="key" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>key</span><a href="#key" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">key</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">string</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/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/e5420436a/web/src/rpc_server.ts#L79">rpc_server.ts:79</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="logger" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>logger</span><a href="#logger" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">logger</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">(</span><span class="tsd-signature-symbol">(</span><span class="tsd-kind-parameter">msg</span><span class="tsd-signature-symbol">)</span><span class="tsd-signature-symbol"> => </span><span class="tsd-signature-type">void</span><span class="tsd-signature-symbol">)</span></div>
@@ -136,22 +136,22 @@
<h5><span class="tsd-kind-parameter">msg</span>: <span class="tsd-signature-type">string</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4></li></ul></li></ul></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/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/e5420436a/web/src/rpc_server.ts#L82">rpc_server.ts:82</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="socket" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>socket</span><a href="#socket" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">socket</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type ">WebSocket</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/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/e5420436a/web/src/rpc_server.ts#L80">rpc_server.ts:80</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="state" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>state</span><a href="#state" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">state</span><span class="tsd-signature-symbol">:</span> <a href="../enums/_internal_.RPCServerState.html" class="tsd-signature-type tsd-kind-enum">RPCServerState</a><span class="tsd-signature-symbol"> = RPCServerState.InitHeader</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/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/e5420436a/web/src/rpc_server.ts#L81">rpc_server.ts:81</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="url" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>url</span><a href="#url" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">url</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">string</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/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/e5420436a/web/src/rpc_server.ts#L78">rpc_server.ts:78</a></li></ul></aside></section></section></div>
<div class="col-sidebar">
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<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/Scalar.html b/docs/reference/api/typedoc/classes/Scalar.html
index 55a1921901..aaf3300ed8 100644
--- a/docs/reference/api/typedoc/classes/Scalar.html
+++ b/docs/reference/api/typedoc/classes/Scalar.html
@@ -24,7 +24,7 @@ argument to PackedFunc calls.</p>
<ul class="tsd-hierarchy">
<li><span class="target">Scalar</span></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L280">runtime.ts:280</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L280">runtime.ts:280</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">
@@ -55,7 +55,7 @@ argument to PackedFunc calls.</p>
<h5><span class="tsd-kind-parameter">dtype</span>: <span class="tsd-signature-type">string</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <a href="Scalar.html" class="tsd-signature-type tsd-kind-class">Scalar</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L286">runtime.ts:286</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L286">runtime.ts:286</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Properties</h2>
<section class="tsd-panel tsd-member"><a id="dtype" class="tsd-anchor"></a>
@@ -64,14 +64,14 @@ argument to PackedFunc calls.</p>
<div class="tsd-comment tsd-typography"><p>The data type of the scalar.</p>
</div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L284">runtime.ts:284</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L284">runtime.ts:284</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 class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">value</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div>
<div class="tsd-comment tsd-typography"><p>The value.</p>
</div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L282">runtime.ts:282</a></li></ul></aside></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L282">runtime.ts:282</a></li></ul></aside></section></section></div>
<div class="col-sidebar">
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diff --git a/docs/reference/api/typedoc/classes/TVMArray.html b/docs/reference/api/typedoc/classes/TVMArray.html
index 141e2e6419..fa93f28a7b 100644
--- a/docs/reference/api/typedoc/classes/TVMArray.html
+++ b/docs/reference/api/typedoc/classes/TVMArray.html
@@ -25,7 +25,7 @@
<ul class="tsd-hierarchy">
<li><span class="target">TVMArray</span></li></ul></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L864">runtime.ts:864</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L864">runtime.ts:864</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
<section class="tsd-panel tsd-index-panel">
<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -63,7 +63,7 @@
<h4 class="tsd-returns-title">Returns <a href="TVMArray.html" class="tsd-signature-type tsd-kind-class">TVMArray</a></h4><aside class="tsd-sources">
<p>Overrides <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#constructor">constructor</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L865">runtime.ts:865</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L865">runtime.ts:865</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
<section class="tsd-panel tsd-member tsd-is-inherited"><a id="dispose" class="tsd-anchor"></a>
@@ -78,7 +78,7 @@ only the first call will take effect.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<p>Inherited from <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#dispose">dispose</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L795">runtime.ts:795</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L795">runtime.ts:795</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="get" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get</span><a href="#get" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -96,7 +96,7 @@ only the first call will take effect.</p>
<h4 class="tsd-returns-title">Returns <a href="../types/_internal_.TVMObjectBase.html" class="tsd-signature-type tsd-kind-type-alias">TVMObjectBase</a></h4><p>The element.</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L884">runtime.ts:884</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L884">runtime.ts:884</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member tsd-is-inherited"><a id="getHandle" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get<wbr/>Handle</span><a href="#getHandle" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures tsd-is-inherited">
@@ -115,7 +115,7 @@ only the first call will take effect.</p>
<aside class="tsd-sources">
<p>Inherited from <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#getHandle">getHandle</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L810">runtime.ts:810</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L810">runtime.ts:810</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="size" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>size</span><a href="#size" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -125,7 +125,7 @@ only the first call will take effect.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><p>the size of the array.</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L876">runtime.ts:876</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L876">runtime.ts:876</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member tsd-is-inherited"><a id="typeIndex" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>type<wbr/>Index</span><a href="#typeIndex" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures tsd-is-inherited">
@@ -136,7 +136,7 @@ only the first call will take effect.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
<p>Inherited from <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#typeIndex">typeIndex</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L818">runtime.ts:818</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L818">runtime.ts:818</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member tsd-is-inherited"><a id="typeKey" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>type<wbr/>Key</span><a href="#typeKey" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures tsd-is-inherited">
@@ -147,7 +147,7 @@ only the first call will take effect.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">string</span></h4><aside class="tsd-sources">
<p>Inherited from <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#typeKey">typeKey</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L838">runtime.ts:838</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L838">runtime.ts:838</a></li></ul></aside></li></ul></section></section></div>
<div class="col-sidebar">
<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/TVMObject.html b/docs/reference/api/typedoc/classes/TVMObject.html
index 8f16093209..d11de3cf42 100644
--- a/docs/reference/api/typedoc/classes/TVMObject.html
+++ b/docs/reference/api/typedoc/classes/TVMObject.html
@@ -30,7 +30,7 @@
<ul class="tsd-hierarchy">
<li><a href="../interfaces/Disposable.html" class="tsd-signature-type tsd-kind-interface">Disposable</a></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L780">runtime.ts:780</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L780">runtime.ts:780</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">
@@ -65,7 +65,7 @@
<h5><span class="tsd-kind-parameter">ctx</span>: <a href="_internal_.RuntimeContext.html" class="tsd-signature-type tsd-kind-class">RuntimeContext</a></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <a href="TVMObject.html" class="tsd-signature-type tsd-kind-class">TVMObject</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L785">runtime.ts:785</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L785">runtime.ts:785</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
<section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
@@ -80,7 +80,7 @@ only the first call will take effect.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L795">runtime.ts:795</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L795">runtime.ts:795</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="getHandle" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get<wbr/>Handle</span><a href="#getHandle" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -98,7 +98,7 @@ only the first call will take effect.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><p>The handle.</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L810">runtime.ts:810</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L810">runtime.ts:810</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="typeIndex" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>type<wbr/>Index</span><a href="#typeIndex" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -108,7 +108,7 @@ only the first call will take effect.</p>
</div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L818">runtime.ts:818</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L818">runtime.ts:818</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="typeKey" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>type<wbr/>Key</span><a href="#typeKey" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -118,7 +118,7 @@ only the first call will take effect.</p>
</div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">string</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L838">runtime.ts:838</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L838">runtime.ts:838</a></li></ul></aside></li></ul></section></section></div>
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<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/VirtualMachine.html b/docs/reference/api/typedoc/classes/VirtualMachine.html
index 24a3e3eff0..74b75aeaeb 100644
--- a/docs/reference/api/typedoc/classes/VirtualMachine.html
+++ b/docs/reference/api/typedoc/classes/VirtualMachine.html
@@ -30,7 +30,7 @@
<ul class="tsd-hierarchy">
<li><a href="../interfaces/Disposable.html" class="tsd-signature-type tsd-kind-interface">Disposable</a></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L919">runtime.ts:919</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L919">runtime.ts:919</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
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@@ -68,7 +68,7 @@
</div></li></ul></div>
<h4 class="tsd-returns-title">Returns <a href="VirtualMachine.html" class="tsd-signature-type tsd-kind-class">VirtualMachine</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L926">runtime.ts:926</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L926">runtime.ts:926</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
<section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
@@ -83,7 +83,7 @@ only the first call will take effect.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L939">runtime.ts:939</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L939">runtime.ts:939</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="getFunction" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get<wbr/>Function</span><a href="#getFunction" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -101,7 +101,7 @@ only the first call will take effect.</p>
<h4 class="tsd-returns-title">Returns <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></h4><p>The result function.</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L947">runtime.ts:947</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L947">runtime.ts:947</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="getInternalModule" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get<wbr/>Internal<wbr/>Module</span><a href="#getInternalModule" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -111,7 +111,7 @@ only the first call will take effect.</p>
</div>
<h4 class="tsd-returns-title">Returns <a href="Module.html" class="tsd-signature-type tsd-kind-class">Module</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L954">runtime.ts:954</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L954">runtime.ts:954</a></li></ul></aside></li></ul></section></section></div>
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<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/_internal_.CachedCallStack.html b/docs/reference/api/typedoc/classes/_internal_.CachedCallStack.html
index ced8b37285..88ca1df41d 100644
--- a/docs/reference/api/typedoc/classes/_internal_.CachedCallStack.html
+++ b/docs/reference/api/typedoc/classes/_internal_.CachedCallStack.html
@@ -36,7 +36,7 @@ can still call into storeXX</li>
<ul class="tsd-hierarchy">
<li><a href="../interfaces/Disposable.html" class="tsd-signature-type tsd-kind-interface">Disposable</a></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/memory.ts#L206">memory.ts:206</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/memory.ts#L206">memory.ts:206</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
<section class="tsd-panel tsd-index-panel">
<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -86,7 +86,7 @@ can still call into storeXX</li>
<h5><span class="tsd-kind-parameter">freeSpace</span>: <a href="../types/_internal_.FTVMWasmFreeSpace.html" class="tsd-signature-type tsd-kind-type-alias">FTVMWasmFreeSpace</a></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <a href="_internal_.CachedCallStack.html" class="tsd-signature-type tsd-kind-class">CachedCallStack</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/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/e5420436a/web/src/memory.ts#L225">memory.ts:225</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Properties</h2>
<section class="tsd-panel tsd-member"><a id="tempArgs" class="tsd-anchor"></a>
@@ -95,7 +95,7 @@ can still call into storeXX</li>
<div class="tsd-comment tsd-typography"><p>List of temporay arguments that can be disposed during reset.</p>
</div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/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/e5420436a/web/src/memory.ts#L208">memory.ts:208</a></li></ul></aside></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
<section class="tsd-panel tsd-member"><a id="allocPtrArray" class="tsd-anchor"></a>
@@ -115,7 +115,7 @@ can still call into storeXX</li>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><p>The allocated pointer array.</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/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/e5420436a/web/src/memory.ts#L312">memory.ts:312</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="allocRawBytes" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>alloc<wbr/>Raw<wbr/>Bytes</span><a href="#allocRawBytes" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -134,7 +134,7 @@ can still call into storeXX</li>
</div></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/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/e5420436a/web/src/memory.ts#L284">memory.ts:284</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="allocThenSetArgBytes" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>alloc<wbr/>Then<wbr/>Set<wbr/>Arg<wbr/>Bytes</span><a href="#allocThenSetArgBytes" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -156,7 +156,7 @@ Allocate new temporary space for bytes.</p>
</div></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/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/e5420436a/web/src/memory.ts#L389">memory.ts:389</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="allocThenSetArgString" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>alloc<wbr/>Then<wbr/>Set<wbr/>Arg<wbr/>String</span><a href="#allocThenSetArgString" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -180,7 +180,7 @@ and will be filled when we commit the data.</p>
</div></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/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/e5420436a/web/src/memory.ts#L377">memory.ts:377</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="commitToWasmMemory" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>commit<wbr/>To<wbr/>Wasm<wbr/>Memory</span><a href="#commitToWasmMemory" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -199,7 +199,7 @@ No further store function should be called.</p>
</div></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/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/e5420436a/web/src/memory.ts#L267">memory.ts:267</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>dispose</span><a href="#dispose" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -212,7 +212,7 @@ only the first call will take effect.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/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/e5420436a/web/src/memory.ts#L243">memory.ts:243</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="ptrFromOffset" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>ptr<wbr/>From<wbr/>Offset</span><a href="#ptrFromOffset" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -230,7 +230,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
</div></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/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/e5420436a/web/src/memory.ts#L321">memory.ts:321</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="reset" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>reset</span><a href="#reset" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -240,7 +240,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
</div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/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/e5420436a/web/src/memory.ts#L252">memory.ts:252</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="storeF64" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>store<wbr/>F64</span><a href="#storeF64" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -255,7 +255,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
<h5><span class="tsd-kind-parameter">value</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/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/e5420436a/web/src/memory.ts#L360">memory.ts:360</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="storeI32" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>store<wbr/>I32</span><a href="#storeI32" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -270,7 +270,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
<h5><span class="tsd-kind-parameter">value</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/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/e5420436a/web/src/memory.ts#L342">memory.ts:342</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="storeI64" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>store<wbr/>I64</span><a href="#storeI64" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -285,7 +285,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
<h5><span class="tsd-kind-parameter">value</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/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/e5420436a/web/src/memory.ts#L350">memory.ts:350</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="storePtr" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>store<wbr/>Ptr</span><a href="#storePtr" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -300,7 +300,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
<h5><span class="tsd-kind-parameter">value</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/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/e5420436a/web/src/memory.ts#L326">memory.ts:326</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="storeRawBytes" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>store<wbr/>Raw<wbr/>Bytes</span><a href="#storeRawBytes" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -315,7 +315,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
<h5><span class="tsd-kind-parameter">bytes</span>: <span class="tsd-signature-type ">Uint8Array</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/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/e5420436a/web/src/memory.ts#L364">memory.ts:364</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="storeU32" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>store<wbr/>U32</span><a href="#storeU32" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -330,7 +330,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
<h5><span class="tsd-kind-parameter">value</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/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/e5420436a/web/src/memory.ts#L346">memory.ts:346</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="storeUSize" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>storeUSize</span><a href="#storeUSize" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -345,7 +345,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
<h5><span class="tsd-kind-parameter">value</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/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/e5420436a/web/src/memory.ts#L334">memory.ts:334</a></li></ul></aside></li></ul></section></section></div>
<div class="col-sidebar">
<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/_internal_.CanvasRenderManager.html b/docs/reference/api/typedoc/classes/_internal_.CanvasRenderManager.html
index 3867e11dd1..73cb713883 100644
--- a/docs/reference/api/typedoc/classes/_internal_.CanvasRenderManager.html
+++ b/docs/reference/api/typedoc/classes/_internal_.CanvasRenderManager.html
@@ -29,7 +29,7 @@ which needs to be explicitly disposed.</p>
<ul class="tsd-hierarchy">
<li><a href="../interfaces/Disposable.html" class="tsd-signature-type tsd-kind-interface">Disposable</a></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/webgpu.ts#L168">webgpu.ts:168</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/webgpu.ts#L168">webgpu.ts:168</a></li></ul></aside>
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@@ -61,7 +61,7 @@ which needs to be explicitly disposed.</p>
<h5><span class="tsd-kind-parameter">canvas</span>: <span class="tsd-signature-type ">HTMLCanvasElement</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <a href="_internal_.CanvasRenderManager.html" class="tsd-signature-type tsd-kind-class">CanvasRenderManager</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/webgpu.ts#L177">webgpu.ts:177</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/webgpu.ts#L177">webgpu.ts:177</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
<section class="tsd-panel tsd-member"><a id="clear" class="tsd-anchor"></a>
@@ -71,7 +71,7 @@ which needs to be explicitly disposed.</p>
<li class="tsd-description">
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/webgpu.ts#L251">webgpu.ts:251</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/webgpu.ts#L251">webgpu.ts:251</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>dispose</span><a href="#dispose" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -84,7 +84,7 @@ only the first call will take effect.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/webgpu.ts#L327">webgpu.ts:327</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/webgpu.ts#L327">webgpu.ts:327</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="draw" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>draw</span><a href="#draw" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -101,7 +101,7 @@ only the first call will take effect.</p>
<h5><span class="tsd-kind-parameter">width</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/webgpu.ts#L277">webgpu.ts:277</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/webgpu.ts#L277">webgpu.ts:277</a></li></ul></aside></li></ul></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/_internal_.Environment.html b/docs/reference/api/typedoc/classes/_internal_.Environment.html
index 8ca374dc14..12b0f46e26 100644
--- a/docs/reference/api/typedoc/classes/_internal_.Environment.html
+++ b/docs/reference/api/typedoc/classes/_internal_.Environment.html
@@ -28,7 +28,7 @@
<ul class="tsd-hierarchy">
<li><a href="../interfaces/LibraryProvider.html" class="tsd-signature-type tsd-kind-interface">LibraryProvider</a></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/environment.ts#L68">environment.ts:68</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/environment.ts#L68">environment.ts:68</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
<section class="tsd-panel tsd-index-panel">
<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -76,7 +76,7 @@
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4></li></ul></li></ul></li></ul></div>
<h4 class="tsd-returns-title">Returns <a href="_internal_.Environment.html" class="tsd-signature-type tsd-kind-class">Environment</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/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/e5420436a/web/src/environment.ts#L88">environment.ts:88</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Properties</h2>
<section class="tsd-panel tsd-member"><a id="imports" class="tsd-anchor"></a>
@@ -86,7 +86,7 @@
</div><aside class="tsd-sources">
<p>Implementation of <a href="../interfaces/LibraryProvider.html">LibraryProvider</a>.<a href="../interfaces/LibraryProvider.html#imports">imports</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/environment.ts#L70">environment.ts:70</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/environment.ts#L70">environment.ts:70</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="logger" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>logger</span><a href="#logger" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">logger</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">(</span><span class="tsd-signature-symbol">(</span><span class="tsd-kind-parameter">msg</span><span class="tsd-signature-symbol">)</span><span class="tsd-signature-symbol"> => </span><span class="tsd-signature-type">void</span><span class="tsd-signature-symbol">)</span></div>
@@ -104,7 +104,7 @@
<h5><span class="tsd-kind-parameter">msg</span>: <span class="tsd-signature-type">string</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4></li></ul></li></ul></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/environment.ts#L69">environment.ts:69</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/environment.ts#L69">environment.ts:69</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="packedCFuncTable" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>packedCFunc<wbr/>Table</span><a href="#packedCFuncTable" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">packedCFunc<wbr/>Table</span><span class="tsd-signature-symbol">:</span> <a href="../types/_internal_.FTVMWasmPackedCFunc.html" class="tsd-signature-type tsd-kind-type-alias">FTVMWasmPackedCFunc</a><span class="tsd-signature-symbol">[]</span><span class="tsd-signature-symbol"> = ...</span></div>
@@ -114,14 +114,14 @@ can call via TVMWasmPackedCFunc.</p>
of functions that do not maps to the address space.</p>
</div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/environment.ts#L78">environment.ts:78</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/environment.ts#L78">environment.ts:78</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="packedCFuncTableFreeId" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>packedCFunc<wbr/>Table<wbr/>Free<wbr/>Id</span><a href="#packedCFuncTableFreeId" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">packedCFunc<wbr/>Table<wbr/>Free<wbr/>Id</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">[]</span><span class="tsd-signature-symbol"> = []</span></div>
<div class="tsd-comment tsd-typography"><p>Free table index that can be recycled.</p>
</div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/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/e5420436a/web/src/environment.ts#L84">environment.ts:84</a></li></ul></aside></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
<section class="tsd-panel tsd-member"><a id="start" class="tsd-anchor"></a>
@@ -139,7 +139,7 @@ of functions that do not maps to the address space.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<p>Implementation of <a href="../interfaces/LibraryProvider.html">LibraryProvider</a>.<a href="../interfaces/LibraryProvider.html#start">start</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/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/e5420436a/web/src/environment.ts#L105">environment.ts:105</a></li></ul></aside></li></ul></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/_internal_.FFILibrary.html b/docs/reference/api/typedoc/classes/_internal_.FFILibrary.html
index 972adeea91..27c13045af 100644
--- a/docs/reference/api/typedoc/classes/_internal_.FFILibrary.html
+++ b/docs/reference/api/typedoc/classes/_internal_.FFILibrary.html
@@ -28,7 +28,7 @@
<ul class="tsd-hierarchy">
<li><a href="../interfaces/Disposable.html" class="tsd-signature-type tsd-kind-interface">Disposable</a></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L44">runtime.ts:44</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L44">runtime.ts:44</a></li></ul></aside>
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@@ -69,29 +69,29 @@
<h5><span class="tsd-kind-parameter">imports</span>: <span class="tsd-signature-type ">Record</span><span class="tsd-signature-symbol"><</span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">, </span><span class="tsd-signature-type">any</span><span class="tsd-signature-symbol">></span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <a href="_internal_.FFILibrary.html" class="tsd-signature-type tsd-kind-class">FFILibrary</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L52">runtime.ts:52</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L52">runtime.ts:52</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Properties</h2>
<section class="tsd-panel tsd-member"><a id="exports" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>exports</span><a href="#exports" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">exports</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type ">Record</span><span class="tsd-signature-symbol"><</span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">, </span><span class="tsd-signature-type ">Function</span><span class="tsd-signature-symbol">></span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L47">runtime.ts:47</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L47">runtime.ts:47</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="memory" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>memory</span><a href="#memory" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">memory</span><span class="tsd-signature-symbol">:</span> <a href="_internal_.Memory.html" class="tsd-signature-type tsd-kind-class">Memory</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L46">runtime.ts:46</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L46">runtime.ts:46</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="wasm32" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>wasm32</span><a href="#wasm32" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">wasm32</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">boolean</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L45">runtime.ts:45</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L45">runtime.ts:45</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="webGPUContext" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><code class="tsd-tag ts-flagOptional">Optional</code> <span>webGPUContext</span><a href="#webGPUContext" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">webGPUContext</span><span class="tsd-signature-symbol">?:</span> <a href="_internal_.WebGPUContext.html" class="tsd-signature-type tsd-kind-class">WebGPUContext</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L48">runtime.ts:48</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L48">runtime.ts:48</a></li></ul></aside></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
<section class="tsd-panel tsd-member"><a id="checkCall" class="tsd-anchor"></a>
@@ -106,7 +106,7 @@
<h5><span class="tsd-kind-parameter">code</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L78">runtime.ts:78</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L78">runtime.ts:78</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>dispose</span><a href="#dispose" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -119,7 +119,7 @@ only the first call will take effect.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L67">runtime.ts:67</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L67">runtime.ts:67</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="getOrAllocCallStack" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get<wbr/>Or<wbr/>Alloc<wbr/>Call<wbr/>Stack</span><a href="#getOrAllocCallStack" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -127,7 +127,7 @@ only the first call will take effect.</p>
<li class="tsd-description">
<h4 class="tsd-returns-title">Returns <a href="_internal_.CachedCallStack.html" class="tsd-signature-type tsd-kind-class">CachedCallStack</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L87">runtime.ts:87</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L87">runtime.ts:87</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="recycleCallStack" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>recycle<wbr/>Call<wbr/>Stack</span><a href="#recycleCallStack" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -140,7 +140,7 @@ only the first call will take effect.</p>
<h5><span class="tsd-kind-parameter">callstack</span>: <a href="_internal_.CachedCallStack.html" class="tsd-signature-type tsd-kind-class">CachedCallStack</a></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L98">runtime.ts:98</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L98">runtime.ts:98</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="sizeofPtr" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>sizeof<wbr/>Ptr</span><a href="#sizeofPtr" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -148,7 +148,7 @@ only the first call will take effect.</p>
<li class="tsd-description">
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L74">runtime.ts:74</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L74">runtime.ts:74</a></li></ul></aside></li></ul></section></section></div>
<div class="col-sidebar">
<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/_internal_.Memory.html b/docs/reference/api/typedoc/classes/_internal_.Memory.html
index 9dd0de7331..9979bad26e 100644
--- a/docs/reference/api/typedoc/classes/_internal_.Memory.html
+++ b/docs/reference/api/typedoc/classes/_internal_.Memory.html
@@ -24,7 +24,7 @@
<ul class="tsd-hierarchy">
<li><span class="target">Memory</span></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/memory.ts#L31">memory.ts:31</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/memory.ts#L31">memory.ts:31</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
<section class="tsd-panel tsd-index-panel">
<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -70,19 +70,19 @@
<h5><span class="tsd-kind-parameter">memory</span>: <span class="tsd-signature-type ">Memory</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <a href="_internal_.Memory.html" class="tsd-signature-type tsd-kind-class">Memory</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/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/e5420436a/web/src/memory.ts#L42">memory.ts:42</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Properties</h2>
<section class="tsd-panel tsd-member"><a id="memory" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>memory</span><a href="#memory" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">memory</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type ">Memory</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/memory.ts#L32">memory.ts:32</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/memory.ts#L32">memory.ts:32</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="wasm32" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>wasm32</span><a href="#wasm32" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">wasm32</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">boolean</span><span class="tsd-signature-symbol"> = true</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/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/e5420436a/web/src/memory.ts#L33">memory.ts:33</a></li></ul></aside></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
<section class="tsd-panel tsd-member"><a id="loadCString" class="tsd-anchor"></a>
@@ -101,7 +101,7 @@
</div></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">string</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/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/e5420436a/web/src/memory.ts#L154">memory.ts:154</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="loadF32" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>load<wbr/>F32</span><a href="#loadF32" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -114,7 +114,7 @@
<h5><span class="tsd-kind-parameter">ptr</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/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/e5420436a/web/src/memory.ts#L90">memory.ts:90</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="loadF64" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>load<wbr/>F64</span><a href="#loadF64" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -127,7 +127,7 @@
<h5><span class="tsd-kind-parameter">ptr</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/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/e5420436a/web/src/memory.ts#L97">memory.ts:97</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="loadI32" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>load<wbr/>I32</span><a href="#loadI32" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -140,7 +140,7 @@
<h5><span class="tsd-kind-parameter">ptr</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/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/e5420436a/web/src/memory.ts#L74">memory.ts:74</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="loadI64" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>load<wbr/>I64</span><a href="#loadI64" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -153,7 +153,7 @@
<h5><span class="tsd-kind-parameter">ptr</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/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/e5420436a/web/src/memory.ts#L81">memory.ts:81</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="loadPointer" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>load<wbr/>Pointer</span><a href="#loadPointer" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -166,7 +166,7 @@
<h5><span class="tsd-kind-parameter">ptr</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/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/e5420436a/web/src/memory.ts#L104">memory.ts:104</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="loadRawBytes" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>load<wbr/>Raw<wbr/>Bytes</span><a href="#loadRawBytes" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -187,7 +187,7 @@
</div></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Uint8Array</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/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/e5420436a/web/src/memory.ts#L132">memory.ts:132</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="loadTVMBytes" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>loadTVMBytes</span><a href="#loadTVMBytes" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -204,7 +204,7 @@
</div></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Uint8Array</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/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/e5420436a/web/src/memory.ts#L145">memory.ts:145</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="loadU16" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>load<wbr/>U16</span><a href="#loadU16" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -217,7 +217,7 @@
<h5><span class="tsd-kind-parameter">ptr</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/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/e5420436a/web/src/memory.ts#L60">memory.ts:60</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="loadU32" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>load<wbr/>U32</span><a href="#loadU32" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -230,7 +230,7 @@
<h5><span class="tsd-kind-parameter">ptr</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/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/e5420436a/web/src/memory.ts#L67">memory.ts:67</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="loadU8" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>load<wbr/>U8</span><a href="#loadU8" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -243,7 +243,7 @@
<h5><span class="tsd-kind-parameter">ptr</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/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/e5420436a/web/src/memory.ts#L53">memory.ts:53</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="loadUSize" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>loadUSize</span><a href="#loadUSize" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -256,7 +256,7 @@
<h5><span class="tsd-kind-parameter">ptr</span>: <span class="tsd-signature-type">number</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/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/e5420436a/web/src/memory.ts#L114">memory.ts:114</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="sizeofPtr" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>sizeof<wbr/>Ptr</span><a href="#sizeofPtr" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -264,7 +264,7 @@
<li class="tsd-description">
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/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/e5420436a/web/src/memory.ts#L124">memory.ts:124</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="storeRawBytes" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>store<wbr/>Raw<wbr/>Bytes</span><a href="#storeRawBytes" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -285,7 +285,7 @@
</div></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/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/e5420436a/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 677ebf7462..f65252b725 100644
--- a/docs/reference/api/typedoc/classes/_internal_.PackedFuncCell.html
+++ b/docs/reference/api/typedoc/classes/_internal_.PackedFuncCell.html
@@ -28,7 +28,7 @@
<ul class="tsd-hierarchy">
<li><a href="../interfaces/Disposable.html" class="tsd-signature-type tsd-kind-interface">Disposable</a></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L295">runtime.ts:295</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L295">runtime.ts:295</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">
@@ -59,7 +59,7 @@
<h5><span class="tsd-kind-parameter">lib</span>: <a href="_internal_.FFILibrary.html" class="tsd-signature-type tsd-kind-class">FFILibrary</a></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <a href="_internal_.PackedFuncCell.html" class="tsd-signature-type tsd-kind-class">PackedFuncCell</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L299">runtime.ts:299</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L299">runtime.ts:299</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
<section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
@@ -74,7 +74,7 @@ only the first call will take effect.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L304">runtime.ts:304</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L304">runtime.ts:304</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="getHandle" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get<wbr/>Handle</span><a href="#getHandle" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -87,7 +87,7 @@ only the first call will take effect.</p>
<h5><span class="tsd-kind-parameter">requireNotNull</span>: <span class="tsd-signature-type">boolean</span><span class="tsd-signature-symbol"> = true</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L313">runtime.ts:313</a></li></ul></aside></li></ul></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/_internal_.RuntimeContext.html b/docs/reference/api/typedoc/classes/_internal_.RuntimeContext.html
index d85ff5e80d..0d24ea4ab8 100644
--- a/docs/reference/api/typedoc/classes/_internal_.RuntimeContext.html
+++ b/docs/reference/api/typedoc/classes/_internal_.RuntimeContext.html
@@ -28,7 +28,7 @@
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<li><a href="../interfaces/Disposable.html" class="tsd-signature-type tsd-kind-interface">Disposable</a></li></ul></section><aside class="tsd-sources">
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L144">runtime.ts:144</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L144">runtime.ts:144</a></li></ul></aside>
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<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/e56c5e1ef/web/src/runtime.ts#L167">runtime.ts:167</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L167">runtime.ts:167</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Properties</h2>
<section class="tsd-panel tsd-member"><a id="applyPresenceAndFrequencyPenalty" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>apply<wbr/>Presence<wbr/>And<wbr/>Frequency<wbr/>Penalty</span><a href="#applyPresenceAndFrequencyPenalty" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">apply<wbr/>Presence<wbr/>And<wbr/>Frequency<wbr/>Penalty</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L162">runtime.ts:162</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L162">runtime.ts:162</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="applyRepetitionPenalty" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>apply<wbr/>Repetition<wbr/>Penalty</span><a href="#applyRepetitionPenalty" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">apply<wbr/>Repetition<wbr/>Penalty</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L161">runtime.ts:161</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L161">runtime.ts:161</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="applySoftmaxWithTemperature" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>apply<wbr/>Softmax<wbr/>With<wbr/>Temperature</span><a href="#applySoftmaxWithTemperature" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">apply<wbr/>Softmax<wbr/>With<wbr/>Temperature</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L163">runtime.ts:163</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L163">runtime.ts:163</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="arrayCacheClear" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>array<wbr/>Cache<wbr/>Clear</span><a href="#arrayCacheClear" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">array<wbr/>Cache<wbr/>Clear</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L154">runtime.ts:154</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L154">runtime.ts:154</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="arrayCacheGet" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>array<wbr/>Cache<wbr/>Get</span><a href="#arrayCacheGet" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">array<wbr/>Cache<wbr/>Get</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L151">runtime.ts:151</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L151">runtime.ts:151</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="arrayCacheRemove" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>array<wbr/>Cache<wbr/>Remove</span><a href="#arrayCacheRemove" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">array<wbr/>Cache<wbr/>Remove</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L153">runtime.ts:153</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L153">runtime.ts:153</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="arrayCacheUpdate" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>array<wbr/>Cache<wbr/>Update</span><a href="#arrayCacheUpdate" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">array<wbr/>Cache<wbr/>Update</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L152">runtime.ts:152</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L152">runtime.ts:152</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="arrayDecodeStorage" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>array<wbr/>Decode<wbr/>Storage</span><a href="#arrayDecodeStorage" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">array<wbr/>Decode<wbr/>Storage</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L155">runtime.ts:155</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L155">runtime.ts:155</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="arrayGetItem" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>array<wbr/>Get<wbr/>Item</span><a href="#arrayGetItem" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">array<wbr/>Get<wbr/>Item</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L145">runtime.ts:145</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L145">runtime.ts:145</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="arrayGetSize" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>array<wbr/>Get<wbr/>Size</span><a href="#arrayGetSize" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">array<wbr/>Get<wbr/>Size</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L146">runtime.ts:146</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L146">runtime.ts:146</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="arrayMake" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>array<wbr/>Make</span><a href="#arrayMake" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">array<wbr/>Make</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L147">runtime.ts:147</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L147">runtime.ts:147</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="getFFIString" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>getFFIString</span><a href="#getFFIString" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">getFFIString</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L149">runtime.ts:149</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L149">runtime.ts:149</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="getSysLib" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get<wbr/>Sys<wbr/>Lib</span><a href="#getSysLib" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">get<wbr/>Sys<wbr/>Lib</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L150">runtime.ts:150</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L150">runtime.ts:150</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="makeShapeTuple" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>make<wbr/>Shape<wbr/>Tuple</span><a href="#makeShapeTuple" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">make<wbr/>Shape<wbr/>Tuple</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L158">runtime.ts:158</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L158">runtime.ts:158</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="ndarrayCreateView" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>ndarray<wbr/>Create<wbr/>View</span><a href="#ndarrayCreateView" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">ndarray<wbr/>Create<wbr/>View</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L159">runtime.ts:159</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L159">runtime.ts:159</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="paramModuleFromCache" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>param<wbr/>Module<wbr/>From<wbr/>Cache</span><a href="#paramModuleFromCache" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">param<wbr/>Module<wbr/>From<wbr/>Cache</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L156">runtime.ts:156</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L156">runtime.ts:156</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="paramModuleFromCacheByName" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>param<wbr/>Module<wbr/>From<wbr/>Cache<wbr/>By<wbr/>Name</span><a href="#paramModuleFromCacheByName" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">param<wbr/>Module<wbr/>From<wbr/>Cache<wbr/>By<wbr/>Name</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L157">runtime.ts:157</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L157">runtime.ts:157</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="sampleTopPFromLogits" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>sample<wbr/>TopPFrom<wbr/>Logits</span><a href="#sampleTopPFromLogits" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">sample<wbr/>TopPFrom<wbr/>Logits</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L160">runtime.ts:160</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L160">runtime.ts:160</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="stringMake" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>string<wbr/>Make</span><a href="#stringMake" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">string<wbr/>Make</span><span class="tsd-signature-symbol">:</span> <a href="../types/PackedFunc.html" class="tsd-signature-type tsd-kind-type-alias">PackedFunc</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L148">runtime.ts:148</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L148">runtime.ts:148</a></li></ul></aside></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
<section class="tsd-panel tsd-member"><a id="attachToCurrentScope" class="tsd-anchor"></a>
@@ -219,7 +219,7 @@
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type tsd-kind-type-parameter">T</span></h4><p>the same object.</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L238">runtime.ts:238</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L238">runtime.ts:238</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="beginScope" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>begin<wbr/>Scope</span><a href="#beginScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -227,7 +227,7 @@
<li class="tsd-description">
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/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/e5420436a/web/src/runtime.ts#L212">runtime.ts:212</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="detachFromCurrentScope" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>detach<wbr/>From<wbr/>Current<wbr/>Scope</span><a href="#detachFromCurrentScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -245,7 +245,7 @@
<h5><span class="tsd-kind-parameter">obj</span>: <span class="tsd-signature-type tsd-kind-type-parameter">T</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type tsd-kind-type-parameter">T</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L257">runtime.ts:257</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L257">runtime.ts:257</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>dispose</span><a href="#dispose" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -258,7 +258,7 @@ only the first call will take effect.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<p>Implementation of <a href="../interfaces/Disposable.html">Disposable</a>.<a href="../interfaces/Disposable.html#dispose">dispose</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L189">runtime.ts:189</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L189">runtime.ts:189</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="endScope" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>end<wbr/>Scope</span><a href="#endScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -266,7 +266,7 @@ only the first call will take effect.</p>
<li class="tsd-description">
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L216">runtime.ts:216</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L216">runtime.ts:216</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="moveToParentScope" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>move<wbr/>To<wbr/>Parent<wbr/>Scope</span><a href="#moveToParentScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -284,7 +284,7 @@ only the first call will take effect.</p>
<h5><span class="tsd-kind-parameter">obj</span>: <span class="tsd-signature-type tsd-kind-type-parameter">T</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type tsd-kind-type-parameter">T</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L247">runtime.ts:247</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L247">runtime.ts:247</a></li></ul></aside></li></ul></section></section></div>
<div class="col-sidebar">
<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/_internal_.TVMString.html b/docs/reference/api/typedoc/classes/_internal_.TVMString.html
index 8733f17412..a03d5dbf8a 100644
--- a/docs/reference/api/typedoc/classes/_internal_.TVMString.html
+++ b/docs/reference/api/typedoc/classes/_internal_.TVMString.html
@@ -26,7 +26,7 @@
<ul class="tsd-hierarchy">
<li><span class="target">TVMString</span></li></ul></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L890">runtime.ts:890</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L890">runtime.ts:890</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
<section class="tsd-panel tsd-index-panel">
<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -63,7 +63,7 @@
<h4 class="tsd-returns-title">Returns <a href="_internal_.TVMString.html" class="tsd-signature-type tsd-kind-class">TVMString</a></h4><aside class="tsd-sources">
<p>Overrides <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#constructor">constructor</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L891">runtime.ts:891</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L891">runtime.ts:891</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
<section class="tsd-panel tsd-member tsd-is-inherited"><a id="dispose" class="tsd-anchor"></a>
@@ -78,7 +78,7 @@ only the first call will take effect.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<p>Inherited from <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#dispose">dispose</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L795">runtime.ts:795</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L795">runtime.ts:795</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member tsd-is-inherited"><a id="getHandle" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get<wbr/>Handle</span><a href="#getHandle" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures tsd-is-inherited">
@@ -97,7 +97,7 @@ only the first call will take effect.</p>
<aside class="tsd-sources">
<p>Inherited from <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#getHandle">getHandle</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L810">runtime.ts:810</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L810">runtime.ts:810</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="toString" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>to<wbr/>String</span><a href="#toString" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -107,7 +107,7 @@ only the first call will take effect.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">string</span></h4><p>the size of the array.</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L902">runtime.ts:902</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L902">runtime.ts:902</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member tsd-is-inherited"><a id="typeIndex" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>type<wbr/>Index</span><a href="#typeIndex" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures tsd-is-inherited">
@@ -118,7 +118,7 @@ only the first call will take effect.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
<p>Inherited from <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#typeIndex">typeIndex</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L818">runtime.ts:818</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L818">runtime.ts:818</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member tsd-is-inherited"><a id="typeKey" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>type<wbr/>Key</span><a href="#typeKey" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures tsd-is-inherited">
@@ -129,7 +129,7 @@ only the first call will take effect.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">string</span></h4><aside class="tsd-sources">
<p>Inherited from <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#typeKey">typeKey</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L838">runtime.ts:838</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L838">runtime.ts:838</a></li></ul></aside></li></ul></section></section></div>
<div class="col-sidebar">
<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/_internal_.WebGPUContext.html b/docs/reference/api/typedoc/classes/_internal_.WebGPUContext.html
index 4586a0d0ed..1e8a8576e1 100644
--- a/docs/reference/api/typedoc/classes/_internal_.WebGPUContext.html
+++ b/docs/reference/api/typedoc/classes/_internal_.WebGPUContext.html
@@ -25,7 +25,7 @@ Manages all the webgpu resources here.</p>
<ul class="tsd-hierarchy">
<li><span class="target">WebGPUContext</span></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/webgpu.ts#L345">webgpu.ts:345</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/webgpu.ts#L345">webgpu.ts:345</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
<section class="tsd-panel tsd-index-panel">
<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -69,19 +69,19 @@ Manages all the webgpu resources here.</p>
<h5><span class="tsd-kind-parameter">device</span>: <span class="tsd-signature-type ">GPUDevice</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <a href="_internal_.WebGPUContext.html" class="tsd-signature-type tsd-kind-class">WebGPUContext</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/webgpu.ts#L370">webgpu.ts:370</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/webgpu.ts#L370">webgpu.ts:370</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Properties</h2>
<section class="tsd-panel tsd-member"><a id="device" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>device</span><a href="#device" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">device</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type ">GPUDevice</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/webgpu.ts#L346">webgpu.ts:346</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/webgpu.ts#L346">webgpu.ts:346</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="memory" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>memory</span><a href="#memory" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">memory</span><span class="tsd-signature-symbol">:</span> <a href="_internal_.Memory.html" class="tsd-signature-type tsd-kind-class">Memory</a></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/webgpu.ts#L347">webgpu.ts:347</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/webgpu.ts#L347">webgpu.ts:347</a></li></ul></aside></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
<section class="tsd-panel tsd-member"><a id="bindCanvas" class="tsd-anchor"></a>
@@ -100,7 +100,7 @@ Manages all the webgpu resources here.</p>
</div></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/webgpu.ts#L454">webgpu.ts:454</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/webgpu.ts#L454">webgpu.ts:454</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="clearCanvas" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>clear<wbr/>Canvas</span><a href="#clearCanvas" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -110,7 +110,7 @@ Manages all the webgpu resources here.</p>
</div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/webgpu.ts#L446">webgpu.ts:446</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/webgpu.ts#L446">webgpu.ts:446</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="copyRawBytesToBuffer" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>copy<wbr/>Raw<wbr/>Bytes<wbr/>To<wbr/>Buffer</span><a href="#copyRawBytesToBuffer" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -139,7 +139,7 @@ Manages all the webgpu resources here.</p>
</div></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/webgpu.ts#L428">webgpu.ts:428</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/webgpu.ts#L428">webgpu.ts:428</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="createShader" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>create<wbr/>Shader</span><a href="#createShader" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -160,7 +160,7 @@ via createComputePipeline</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Function</span></h4><p>The shader</p>
<aside class="tsd-sources">
<ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/webgpu.ts#L466">webgpu.ts:466</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="createShaderAsync" class="tsd-anchor"></a>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/webgpu.ts#L478">webgpu.ts:478</a></li></ul></aside></li></ul></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/webgpu.ts#L378">webgpu.ts:378</a></li></ul></aside></li></ul></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/webgpu.ts#L413">webgpu.ts:413</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="getDeviceAPI" class="tsd-anchor"></a>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/webgpu.ts#L734">webgpu.ts:734</a></li></ul></aside></li></ul></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/webgpu.ts#L400">webgpu.ts:400</a></li></ul></aside></li></ul></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/webgpu.ts#L393">webgpu.ts:393</a></li></ul></aside></li></ul></section></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/rpc_server.ts#L27">rpc_server.ts:27</a></li></ul></aside>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/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/e5420436a/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/e5420436a/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/e5420436a/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/e5420436a/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/e5420436a/web/src/rpc_server.ts#L31">rpc_server.ts:31</a></li></ul></aside></section></section></div>
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diff --git a/docs/reference/api/typedoc/functions/assert.html b/docs/reference/api/typedoc/functions/assert.html
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/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/e5420436a/web/src/compact.ts#L55">compact.ts:55</a></li></ul></aside></li></ul></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L2479">runtime.ts:2479</a></li></ul></aside></li></ul></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/webgpu.ts#L36">webgpu.ts:36</a></li></ul></aside></li></ul></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L2454">runtime.ts:2454</a></li></ul></aside></li></ul></section></div>
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index 96c28a691b..0855499182 100644
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L2440">runtime.ts:2440</a></li></ul></aside></li></ul></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/support.ts#L62">support.ts:62</a></li></ul></aside></li></ul></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/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/e5420436a/web/src/types.ts#L52">types.ts:52</a></li></ul></aside></section></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/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/e5420436a/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/e5420436a/web/src/webgpu.ts#L30">webgpu.ts:30</a></li></ul></aside></section></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L980">runtime.ts:980</a></li></ul></aside>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L983">runtime.ts:983</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L981">runtime.ts:981</a></li></ul></aside></section>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L984">runtime.ts:984</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L984">runtime.ts:984</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L982">runtime.ts:982</a></li></ul></aside></section></section></div>
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diff --git a/docs/reference/api/typedoc/interfaces/LibraryProvider.html b/docs/reference/api/typedoc/interfaces/LibraryProvider.html
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/types.ts#L32">types.ts:32</a></li></ul></aside>
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<div class="tsd-comment tsd-typography"><p>The imports that can be passed to WebAssembly instance creation.</p>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/types.ts#L34">types.ts:34</a></li></ul></aside></section>
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<h3 class="tsd-anchor-link"><span>start</span><a href="#start" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/types.ts#L39">types.ts:39</a></li></ul></aside></section></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/artifact_cache.ts#L4">artifact_cache.ts:4</a></li></ul></aside>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/artifact_cache.ts#L18">artifact_cache.ts:18</a></li></ul></aside></li></ul></section>
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<h3 class="tsd-anchor-link"><span>fetch<wbr/>With<wbr/>Cache</span><a href="#fetchWithCache" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/artifact_cache.ts#L8">artifact_cache.ts:8</a></li></ul></aside></li></ul></section>
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<h3 class="tsd-anchor-link"><span>has<wbr/>All<wbr/>Keys</span><a href="#hasAllKeys" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/artifact_cache.ts#L13">artifact_cache.ts:13</a></li></ul></aside></li></ul></section></section></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/webgpu.ts#L335">webgpu.ts:335</a></li></ul></aside>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/webgpu.ts#L337">webgpu.ts:337</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/webgpu.ts#L338">webgpu.ts:338</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/webgpu.ts#L336">webgpu.ts:336</a></li></ul></aside></section></section></div>
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diff --git a/docs/reference/api/typedoc/interfaces/_internal_.NDArrayCacheEntry.html b/docs/reference/api/typedoc/interfaces/_internal_.NDArrayCacheEntry.html
index 1048eef909..106246708d 100644
--- a/docs/reference/api/typedoc/interfaces/_internal_.NDArrayCacheEntry.html
+++ b/docs/reference/api/typedoc/interfaces/_internal_.NDArrayCacheEntry.html
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L964">runtime.ts:964</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L964">runtime.ts:964</a></li></ul></aside>
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<div class="tsd-signature"><span class="tsd-kind-property">byte<wbr/>Offset</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L969">runtime.ts:969</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L969">runtime.ts:969</a></li></ul></aside></section>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L967">runtime.ts:967</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L967">runtime.ts:967</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="format" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>format</span><a href="#format" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L968">runtime.ts:968</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L968">runtime.ts:968</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 class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L965">runtime.ts:965</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L965">runtime.ts:965</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 class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L970">runtime.ts:970</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L970">runtime.ts:970</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="shape" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>shape</span><a href="#shape" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">shape</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">[]</span></div><aside class="tsd-sources">
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L966">runtime.ts:966</a></li></ul></aside></section></section></div>
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<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/interfaces/_internal_.NDArrayShardEntry.html b/docs/reference/api/typedoc/interfaces/_internal_.NDArrayShardEntry.html
index 75980be2b2..fd860424ca 100644
--- a/docs/reference/api/typedoc/interfaces/_internal_.NDArrayShardEntry.html
+++ b/docs/reference/api/typedoc/interfaces/_internal_.NDArrayShardEntry.html
@@ -21,7 +21,7 @@
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L973">runtime.ts:973</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L973">runtime.ts:973</a></li></ul></aside>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L974">runtime.ts:974</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L974">runtime.ts:974</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 class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">format</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">"raw-shard"</span></div><aside class="tsd-sources">
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L975">runtime.ts:975</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L975">runtime.ts:975</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 class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/e56c5e1ef/web/src/runtime.ts#L976">runtime.ts:976</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L976">runtime.ts:976</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L977">runtime.ts:977</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 8c5c26c5ba..d852edbd0e 100644
--- a/docs/reference/api/typedoc/types/InitProgressCallback.html
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L987">runtime.ts:987</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 c0bb2d4639..76bbab2382 100644
--- a/docs/reference/api/typedoc/types/PackedFunc.html
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@@ -19,7 +19,7 @@
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L37">runtime.ts:37</a></li></ul></aside></div>
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index 090d00669f..a35ef625bf 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/e5420436a/web/src/runtime.ts#L858">runtime.ts:858</a></li></ul></aside></div>
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index d0e9b87295..d56d695905 100644
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/ctypes.ts#L194">ctypes.ts:194</a></li></ul></aside></div>
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diff --git a/docs/reference/api/typedoc/types/_internal_.FTVMWasmFreeSpace.html b/docs/reference/api/typedoc/types/_internal_.FTVMWasmFreeSpace.html
index 3055b5d7e2..f9a433cf0c 100644
--- a/docs/reference/api/typedoc/types/_internal_.FTVMWasmFreeSpace.html
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/ctypes.ts#L197">ctypes.ts:197</a></li></ul></aside></div>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/ctypes.ts#L206">ctypes.ts:206</a></li></ul></aside></div>
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--- a/docs/reference/api/typedoc/types/_internal_.Pointer.html
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/ctypes.ts#L25">ctypes.ts:25</a></li></ul></aside></div>
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diff --git a/docs/reference/api/typedoc/types/_internal_.TVMObjectBase.html b/docs/reference/api/typedoc/types/_internal_.TVMObjectBase.html
index c3f1d330f3..d98e8a63d2 100644
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/e5420436a/web/src/runtime.ts#L861">runtime.ts:861</a></li></ul></aside></div>
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diff --git a/docs/searchindex.js b/docs/searchindex.js
index 90724f03b9..d7e13509b7 100644
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+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 [...]
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diff --git a/docs/topic/vta/tutorials/frontend/deploy_detection.html b/docs/topic/vta/tutorials/frontend/deploy_detection.html
index 81e94768a9..d9c4105336 100644
--- a/docs/topic/vta/tutorials/frontend/deploy_detection.html
+++ b/docs/topic/vta/tutorials/frontend/deploy_detection.html
@@ -619,7 +619,7 @@ and dense layer which will both be executed in fp32 on the CPU.</p></li>
</div>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/workspace/python/tvm/relay/build_module.py:345: DeprecationWarning: Please use input parameter mod (tvm.IRModule) instead of deprecated parameter mod (tvm.relay.function.Function)
warnings.warn(
-yolov3-tiny inference graph built in 25.53s!
+yolov3-tiny inference graph built in 30.62s!
</pre></div>
</div>
</div>
@@ -704,6 +704,7 @@ Download test image</p>
alu_counter : 849056
</pre></div>
</div>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 3.960 seconds)</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-topic-vta-tutorials-frontend-deploy-detection-py">
<div class="sphx-glr-download sphx-glr-download-python docutils container">
<p><a class="reference download internal" download="" href="../../../../_downloads/65b9451c8de050d7cd9da2fe5a49acc6/deploy_detection.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">deploy_detection.py</span></code></a></p>
diff --git a/docs/topic/vta/tutorials/frontend/sg_execution_times.html b/docs/topic/vta/tutorials/frontend/sg_execution_times.html
index 9dee99bca0..1325fa8a5f 100644
--- a/docs/topic/vta/tutorials/frontend/sg_execution_times.html
+++ b/docs/topic/vta/tutorials/frontend/sg_execution_times.html
@@ -360,7 +360,7 @@
<div class="section" id="computation-times">
<span id="sphx-glr-topic-vta-tutorials-frontend-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>00:57.604</strong> total execution time for <strong>topic_vta_tutorials_frontend</strong> files:</p>
+<p><strong>01:03.960</strong> total execution time for <strong>topic_vta_tutorials_frontend</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 83%" />
@@ -369,7 +369,7 @@
</colgroup>
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="deploy_detection.html#sphx-glr-topic-vta-tutorials-frontend-deploy-detection-py"><span class="std std-ref">Deploy Pretrained Vision Detection Model from Darknet on VTA</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_detection.py</span></code>)</p></td>
-<td><p>00:57.604</p></td>
+<td><p>01:03.960</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 75897a448d..297b1bd520 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>00:03.161</strong> total execution time for <strong>topic_vta_tutorials_optimize</strong> files:</p>
+<p><strong>00:03.329</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>00:02.682</p></td>
+<td><p>00:02.827</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>00:00.479</p></td>
+<td><p>00:00.502</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 c283d87d0c..9536149a93 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>00:00.790</strong> total execution time for <strong>topic_vta_tutorials</strong> files:</p>
+<p><strong>00:00.857</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>00:00.410</p></td>
+<td><p>00:00.446</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>00:00.380</p></td>
+<td><p>00:00.411</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 d78aa15140..533d23db14 100644
--- a/docs/tutorial/auto_scheduler_matmul_x86.html
+++ b/docs/tutorial/auto_scheduler_matmul_x86.html
@@ -512,6 +512,9 @@ trials, we can load the best schedule from the log file and apply it.</p>
<a href="../reference/api/python/te.html#tvm.te.Schedule" title="tvm.te.Schedule" class="sphx-glr-backref-module-tvm-te sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">sch</span></a><span class="p">,</span> <a href="../reference/api/python/ir.html#tvm.ir.Array" title="tvm.ir.Array" class="sphx-glr-backref-module-tvm-ir sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">args</span></a> <span class="o">=</span> <a href="../reference/api/pyth [...]
</pre></div>
</div>
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>*E
+</pre></div>
+</div>
</div>
<div class="section" id="inspecting-the-optimized-schedule">
<h2>Inspecting the Optimized Schedule<a class="headerlink" href="#inspecting-the-optimized-schedule" title="Permalink to this headline">¶</a></h2>
@@ -589,7 +592,7 @@ class Module:
<span class="p">)</span>
</pre></div>
</div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Execution time of this operator: 94.533 ms
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Execution time of this operator: 95.742 ms
</pre></div>
</div>
</div>
@@ -661,7 +664,7 @@ automatically optimize a matrix multiplication, without the need to specify a
search template. It ends a series of examples that starts from the Tensor
Expression (TE) language that demonstrates how TVM can optimize computational
operations.</p>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 18.268 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 40.690 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 03f9b479a3..a8414ce04a 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: 12.71/12.71 result: MeasureResult(costs=(0.021120435,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6168291568756104, timestamp=1709442189.0156748) [('tile_y', [-1, 8]), ('tile_x', [-1, 512])],None,93
-No: 2 GFLOPS: 12.13/12.71 result: MeasureResult(costs=(0.022138276800000002,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6292176246643066, timestamp=1709442189.6182208) [('tile_y', [-1, 32]), ('tile_x', [-1, 32])],None,55
-No: 3 GFLOPS: 14.92/14.92 result: MeasureResult(costs=(0.0179935134,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6141660213470459, timestamp=1709442190.152436) [('tile_y', [-1, 32]), ('tile_x', [-1, 64])],None,65
-No: 4 GFLOPS: 1.95/14.92 result: MeasureResult(costs=(0.1379243996,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.460136890411377, timestamp=1709442192.6115048) [('tile_y', [-1, 8]), ('tile_x', [-1, 1])],None,3
-No: 5 GFLOPS: 0.52/14.92 result: MeasureResult(costs=(0.5160550722,), error_no=MeasureErrorNo.NO_ERROR, all_cost=8.538965702056885, timestamp=1709442201.2627144) [('tile_y', [-1, 64]), ('tile_x', [-1, 1])],None,6
-No: 6 GFLOPS: 3.76/14.92 result: MeasureResult(costs=(0.0713156574,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.4036555290222168, timestamp=1709442202.6553006) [('tile_y', [-1, 256]), ('tile_x', [-1, 8])],None,38
-No: 7 GFLOPS: 6.80/14.92 result: MeasureResult(costs=(0.039459817800000005,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.878687858581543, timestamp=1709442203.5375729) [('tile_y', [-1, 2]), ('tile_x', [-1, 4])],None,21
-No: 8 GFLOPS: 11.95/14.92 result: MeasureResult(costs=(0.0224570772,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6415936946868896, timestamp=1709442204.1640162) [('tile_y', [-1, 64]), ('tile_x', [-1, 256])],None,86
-No: 9 GFLOPS: 2.92/14.92 result: MeasureResult(costs=(0.0919324894,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.692439317703247, timestamp=1709442205.9650574) [('tile_y', [-1, 16]), ('tile_x', [-1, 2])],None,14
-No: 10 GFLOPS: 7.01/14.92 result: MeasureResult(costs=(0.038269403,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.8210561275482178, timestamp=1709442206.826159) [('tile_y', [-1, 1]), ('tile_x', [-1, 8])],None,30
+No: 1 GFLOPS: 1.04/1.04 result: MeasureResult(costs=(0.2579244276,), error_no=MeasureErrorNo.NO_ERROR, all_cost=4.398144483566284, timestamp=1709481204.5625556) [('tile_y', [-1, 32]), ('tile_x', [-1, 2])],None,15
+No: 2 GFLOPS: 9.60/9.60 result: MeasureResult(costs=(0.0279607932,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7569215297698975, timestamp=1709481205.2714326) [('tile_y', [-1, 4]), ('tile_x', [-1, 64])],None,62
+No: 3 GFLOPS: 8.63/9.60 result: MeasureResult(costs=(0.031095556199999996,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7979679107666016, timestamp=1709481206.0328102) [('tile_y', [-1, 1]), ('tile_x', [-1, 128])],None,70
+No: 4 GFLOPS: 11.41/11.41 result: MeasureResult(costs=(0.0235182078,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.660240888595581, timestamp=1709481206.670224) [('tile_y', [-1, 128]), ('tile_x', [-1, 32])],None,57
+No: 5 GFLOPS: 9.19/11.41 result: MeasureResult(costs=(0.029194921599999996,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.8320753574371338, timestamp=1709481207.6228092) [('tile_y', [-1, 8]), ('tile_x', [-1, 128])],None,73
+No: 6 GFLOPS: 10.83/11.41 result: MeasureResult(costs=(0.0247936104,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6568913459777832, timestamp=1709481208.2835255) [('tile_y', [-1, 2]), ('tile_x', [-1, 512])],None,91
+No: 7 GFLOPS: 0.50/11.41 result: MeasureResult(costs=(0.532163555,), error_no=MeasureErrorNo.NO_ERROR, all_cost=8.774232387542725, timestamp=1709481217.0453434) [('tile_y', [-1, 32]), ('tile_x', [-1, 1])],None,5
+No: 8 GFLOPS: 8.05/11.41 result: MeasureResult(costs=(0.0333619932,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.8005805015563965, timestamp=1709481217.8369071) [('tile_y', [-1, 1]), ('tile_x', [-1, 16])],None,40
+No: 9 GFLOPS: 8.54/11.41 result: MeasureResult(costs=(0.0314221768,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.8118586540222168, timestamp=1709481218.758825) [('tile_y', [-1, 512]), ('tile_x', [-1, 64])],None,69
+No: 10 GFLOPS: 9.85/11.41 result: MeasureResult(costs=(0.0272452378,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.684053897857666, timestamp=1709481219.4521518) [('tile_y', [-1, 8]), ('tile_x', [-1, 32])],None,53
</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 dadf93c645..531137dfa0 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': 467.92921693000034, 'median': 467.40489145000197, 'std': 2.0345062157885114}
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>{'mean': 495.3516902299998, 'median': 496.1572859500052, 'std': 3.235179294384345}
</pre></div>
</div>
</div>
@@ -767,179 +767,179 @@ depending on the specifics of the model and the target platform.</p>
</pre></div>
</div>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>[Task 1/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 1/25] Current/Best: 13.36/ 18.74 GFLOPS | Progress: (4/20) | 8.69 s
-[Task 1/25] Current/Best: 10.95/ 18.74 GFLOPS | Progress: (8/20) | 12.12 s
-[Task 1/25] Current/Best: 9.02/ 20.29 GFLOPS | Progress: (12/20) | 15.14 s
-[Task 1/25] Current/Best: 23.88/ 23.88 GFLOPS | Progress: (16/20) | 17.30 s
-[Task 1/25] Current/Best: 17.22/ 23.88 GFLOPS | Progress: (20/20) | 19.37 s Done.
+[Task 1/25] Current/Best: 20.87/ 23.44 GFLOPS | Progress: (4/20) | 9.13 s
+[Task 1/25] Current/Best: 12.72/ 23.44 GFLOPS | Progress: (8/20) | 11.68 s
+[Task 1/25] Current/Best: 9.43/ 23.44 GFLOPS | Progress: (12/20) | 14.30 s
+[Task 1/25] Current/Best: 13.79/ 23.95 GFLOPS | Progress: (16/20) | 17.09 s
+[Task 1/25] Current/Best: 10.92/ 23.95 GFLOPS | Progress: (20/20) | 20.63 s Done.
[Task 2/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 2/25] Current/Best: 13.67/ 13.67 GFLOPS | Progress: (4/20) | 3.81 s
-[Task 2/25] Current/Best: 7.85/ 20.37 GFLOPS | Progress: (8/20) | 5.39 s
-[Task 2/25] Current/Best: 17.79/ 20.37 GFLOPS | Progress: (12/20) | 6.85 s
-[Task 2/25] Current/Best: 11.88/ 20.62 GFLOPS | Progress: (16/20) | 8.21 s
-[Task 2/25] Current/Best: 15.66/ 20.62 GFLOPS | Progress: (20/20) | 10.77 s Done.
+[Task 2/25] Current/Best: 13.32/ 18.07 GFLOPS | Progress: (4/20) | 4.12 s
+[Task 2/25] Current/Best: 12.99/ 19.19 GFLOPS | Progress: (8/20) | 5.97 s
+[Task 2/25] Current/Best: 9.65/ 19.19 GFLOPS | Progress: (12/20) | 7.79 s
+[Task 2/25] Current/Best: 13.19/ 19.19 GFLOPS | Progress: (16/20) | 9.42 s
+[Task 2/25] Current/Best: 3.35/ 19.19 GFLOPS | Progress: (20/20) | 11.83 s Done.
[Task 3/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 3/25] Current/Best: 14.62/ 17.95 GFLOPS | Progress: (4/20) | 5.51 s
-[Task 3/25] Current/Best: 16.50/ 24.36 GFLOPS | Progress: (8/20) | 7.59 s
-[Task 3/25] Current/Best: 6.72/ 24.36 GFLOPS | Progress: (12/20) | 10.10 s
-[Task 3/25] Current/Best: 19.62/ 24.36 GFLOPS | Progress: (16/20) | 12.64 s
-[Task 3/25] Current/Best: 6.78/ 24.36 GFLOPS | Progress: (20/20) | 15.81 s Done.
+[Task 3/25] Current/Best: 14.08/ 19.78 GFLOPS | Progress: (4/20) | 5.47 s
+[Task 3/25] Current/Best: 6.23/ 19.78 GFLOPS | Progress: (8/20) | 8.74 s
+[Task 3/25] Current/Best: 7.67/ 19.78 GFLOPS | Progress: (12/20) | 11.79 s
+[Task 3/25] Current/Best: 6.51/ 21.15 GFLOPS | Progress: (16/20) | 14.10 s
+[Task 3/25] Current/Best: 16.83/ 21.15 GFLOPS | Progress: (20/20) | 17.24 s Done.
[Task 4/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 4/25] Current/Best: 12.06/ 16.64 GFLOPS | Progress: (4/20) | 5.12 s
-[Task 4/25] Current/Best: 5.92/ 16.64 GFLOPS | Progress: (8/20) | 7.41 s
-[Task 4/25] Current/Best: 13.21/ 18.93 GFLOPS | Progress: (12/20) | 10.03 s
-[Task 4/25] Current/Best: 15.32/ 18.93 GFLOPS | Progress: (16/20) | 11.74 s
-[Task 4/25] Current/Best: 19.28/ 19.81 GFLOPS | Progress: (20/20) | 13.49 s Done.
+[Task 4/25] Current/Best: 13.43/ 20.20 GFLOPS | Progress: (4/20) | 4.47 s
+[Task 4/25] Current/Best: 11.40/ 20.20 GFLOPS | Progress: (8/20) | 6.46 s
+[Task 4/25] Current/Best: 19.79/ 20.20 GFLOPS | Progress: (12/20) | 9.28 s
+[Task 4/25] Current/Best: 7.31/ 20.20 GFLOPS | Progress: (16/20) | 11.31 s
+[Task 4/25] Current/Best: 10.22/ 20.20 GFLOPS | Progress: (20/20) | 13.72 s Done.
[Task 5/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 5/25] Current/Best: 8.20/ 18.58 GFLOPS | Progress: (4/20) | 4.57 s
-[Task 5/25] Current/Best: 8.58/ 18.58 GFLOPS | Progress: (8/20) | 7.28 s
-[Task 5/25] Current/Best: 4.20/ 18.58 GFLOPS | Progress: (12/20) | 9.45 s
-[Task 5/25] Current/Best: 13.87/ 18.58 GFLOPS | Progress: (16/20) | 11.23 s
-[Task 5/25] Current/Best: 12.83/ 18.58 GFLOPS | Progress: (20/20) | 13.43 s Done.
+[Task 5/25] Current/Best: 15.31/ 18.91 GFLOPS | Progress: (4/20) | 4.64 s
+[Task 5/25] Current/Best: 17.52/ 18.91 GFLOPS | Progress: (8/20) | 6.69 s
+[Task 5/25] Current/Best: 12.67/ 18.91 GFLOPS | Progress: (12/20) | 8.48 s
+[Task 5/25] Current/Best: 15.21/ 19.03 GFLOPS | Progress: (16/20) | 10.51 s
+[Task 5/25] Current/Best: 16.35/ 19.03 GFLOPS | Progress: (20/20) | 12.42 s Done.
[Task 6/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 6/25] Current/Best: 16.72/ 16.72 GFLOPS | Progress: (4/20) | 5.23 s
-[Task 6/25] Current/Best: 15.88/ 16.72 GFLOPS | Progress: (8/20) | 7.51 s
-[Task 6/25] Current/Best: 13.65/ 19.01 GFLOPS | Progress: (12/20) | 11.06 s
-[Task 6/25] Current/Best: 3.58/ 19.01 GFLOPS | Progress: (16/20) | 13.99 s
-[Task 6/25] Current/Best: 1.78/ 19.01 GFLOPS | Progress: (20/20) | 19.66 s Done.
+[Task 6/25] Current/Best: 12.01/ 18.27 GFLOPS | Progress: (4/20) | 5.39 s
+[Task 6/25] Current/Best: 16.30/ 18.27 GFLOPS | Progress: (8/20) | 8.13 s
+[Task 6/25] Current/Best: 11.63/ 18.27 GFLOPS | Progress: (12/20) | 11.57 s
+[Task 6/25] Current/Best: 3.92/ 18.27 GFLOPS | Progress: (16/20) | 14.36 s
+[Task 6/25] Current/Best: 3.41/ 18.27 GFLOPS | Progress: (20/20) | 17.63 s Done.
[Task 7/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 7/25] Current/Best: 16.07/ 19.54 GFLOPS | Progress: (4/20) | 4.85 s
-[Task 7/25] Current/Best: 3.23/ 22.17 GFLOPS | Progress: (8/20) | 8.03 s
-[Task 7/25] Current/Best: 14.64/ 22.17 GFLOPS | Progress: (12/20) | 10.80 s
-[Task 7/25] Current/Best: 17.20/ 22.17 GFLOPS | Progress: (16/20) | 12.91 s
-[Task 7/25] Current/Best: 18.70/ 22.17 GFLOPS | Progress: (20/20) | 15.26 s Done.
+[Task 7/25] Current/Best: 6.51/ 19.67 GFLOPS | Progress: (4/20) | 4.91 s
+[Task 7/25] Current/Best: 21.53/ 21.53 GFLOPS | Progress: (8/20) | 6.77 s
+[Task 7/25] Current/Best: 12.30/ 21.53 GFLOPS | Progress: (12/20) | 9.32 s
+[Task 7/25] Current/Best: 12.75/ 22.95 GFLOPS | Progress: (16/20) | 11.56 s
+[Task 7/25] Current/Best: 1.59/ 22.95 GFLOPS | Progress: (20/20) | 15.30 s Done.
[Task 8/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 8/25] Current/Best: 12.32/ 14.35 GFLOPS | Progress: (4/20) | 13.59 s
-[Task 8/25] Current/Best: 12.23/ 14.35 GFLOPS | Progress: (8/20) | 17.46 s
-[Task 8/25] Current/Best: 11.35/ 14.35 GFLOPS | Progress: (12/20) | 20.40 s
-[Task 8/25] Current/Best: 7.75/ 15.92 GFLOPS | Progress: (16/20) | 23.42 s
-[Task 8/25] Current/Best: 13.61/ 16.65 GFLOPS | Progress: (20/20) | 26.54 s Done.
-
+[Task 8/25] Current/Best: 12.69/ 16.15 GFLOPS | Progress: (4/20) | 13.97 s
+[Task 8/25] Current/Best: 9.81/ 16.15 GFLOPS | Progress: (8/20) | 22.55 s
+[Task 8/25] Current/Best: 11.60/ 16.15 GFLOPS | Progress: (12/20) | 30.19 s
+[Task 8/25] Current/Best: 10.78/ 16.15 GFLOPS | Progress: (16/20) | 36.09 s
+[Task 8/25] Current/Best: 7.57/ 16.43 GFLOPS | Progress: (20/20) | 41.20 s
[Task 9/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 9/25] Current/Best: 6.77/ 20.16 GFLOPS | Progress: (4/20) | 4.14 s
-[Task 9/25] Current/Best: 21.69/ 21.69 GFLOPS | Progress: (8/20) | 5.89 s
-[Task 9/25] Current/Best: 12.82/ 21.69 GFLOPS | Progress: (12/20) | 7.83 s
-[Task 9/25] Current/Best: 14.79/ 21.69 GFLOPS | Progress: (16/20) | 10.89 s
-[Task 9/25] Current/Best: 9.36/ 21.69 GFLOPS | Progress: (20/20) | 12.64 s Done.
+[Task 9/25] Current/Best: 13.38/ 17.96 GFLOPS | Progress: (4/20) | 4.52 s
+[Task 9/25] Current/Best: 14.35/ 17.96 GFLOPS | Progress: (8/20) | 7.10 s
+[Task 9/25] Current/Best: 15.16/ 17.96 GFLOPS | Progress: (12/20) | 13.49 s
+[Task 9/25] Current/Best: 7.51/ 21.28 GFLOPS | Progress: (16/20) | 21.64 s
+[Task 9/25] Current/Best: 17.95/ 21.28 GFLOPS | Progress: (20/20) | 32.95 s Done.
[Task 10/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 10/25] Current/Best: 8.54/ 16.10 GFLOPS | Progress: (4/20) | 4.05 s
-[Task 10/25] Current/Best: 6.94/ 22.00 GFLOPS | Progress: (8/20) | 5.78 s
-[Task 10/25] Current/Best: 13.09/ 22.00 GFLOPS | Progress: (12/20) | 8.10 s
-[Task 10/25] Current/Best: 4.62/ 22.00 GFLOPS | Progress: (16/20) | 10.23 s
-[Task 10/25] Current/Best: 17.77/ 22.00 GFLOPS | Progress: (20/20) | 12.09 s Done.
+[Task 10/25] Current/Best: 13.32/ 17.34 GFLOPS | Progress: (4/20) | 5.63 s
+[Task 10/25] Current/Best: 8.36/ 17.34 GFLOPS | Progress: (8/20) | 7.46 s
+[Task 10/25] Current/Best: 12.03/ 17.34 GFLOPS | Progress: (12/20) | 10.72 s
+[Task 10/25] Current/Best: 18.29/ 18.29 GFLOPS | Progress: (16/20) | 12.37 s
+[Task 10/25] Current/Best: 8.94/ 18.29 GFLOPS | Progress: (20/20) | 14.25 s Done.
[Task 11/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 11/25] Current/Best: 21.06/ 21.06 GFLOPS | Progress: (4/20) | 4.70 s
-[Task 11/25] Current/Best: 15.23/ 21.06 GFLOPS | Progress: (8/20) | 6.61 s
-[Task 11/25] Current/Best: 6.38/ 21.06 GFLOPS | Progress: (12/20) | 8.69 s
-[Task 11/25] Current/Best: 20.35/ 21.06 GFLOPS | Progress: (16/20) | 11.47 s
-[Task 11/25] Current/Best: 20.57/ 21.06 GFLOPS | Progress: (20/20) | 14.04 s Done.
+[Task 11/25] Current/Best: 1.57/ 15.79 GFLOPS | Progress: (4/20) | 7.94 s
+[Task 11/25] Current/Best: 10.24/ 20.44 GFLOPS | Progress: (8/20) | 10.35 s
+[Task 11/25] Current/Best: 12.70/ 20.44 GFLOPS | Progress: (12/20) | 12.80 s
+[Task 11/25] Current/Best: 16.04/ 20.44 GFLOPS | Progress: (16/20) | 15.79 s
+[Task 11/25] Current/Best: 6.12/ 20.44 GFLOPS | Progress: (20/20) | 18.39 s Done.
[Task 12/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 12/25] Current/Best: 14.32/ 15.30 GFLOPS | Progress: (4/20) | 5.98 s
-[Task 12/25] Current/Best: 10.23/ 19.73 GFLOPS | Progress: (8/20) | 11.76 s
-[Task 12/25] Current/Best: 17.41/ 19.73 GFLOPS | Progress: (12/20) | 13.89 s
-[Task 12/25] Current/Best: 20.79/ 20.79 GFLOPS | Progress: (16/20) | 16.13 s
-[Task 12/25] Current/Best: 14.19/ 20.79 GFLOPS | Progress: (20/20) | 20.67 s Done.
+[Task 12/25] Current/Best: 12.99/ 13.19 GFLOPS | Progress: (4/20) | 8.20 s
+[Task 12/25] Current/Best: 10.53/ 13.19 GFLOPS | Progress: (8/20) | 12.33 s
+[Task 12/25] Current/Best: 2.66/ 19.18 GFLOPS | Progress: (12/20) | 15.35 s
+[Task 12/25] Current/Best: 17.54/ 19.18 GFLOPS | Progress: (16/20) | 20.48 s
+[Task 12/25] Current/Best: 18.12/ 19.18 GFLOPS | Progress: (20/20) | 24.74 s Done.
[Task 13/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 13/25] Current/Best: 17.48/ 19.99 GFLOPS | Progress: (4/20) | 4.55 s
-[Task 13/25] Current/Best: 9.91/ 22.31 GFLOPS | Progress: (8/20) | 6.87 s
-[Task 13/25] Current/Best: 15.58/ 22.31 GFLOPS | Progress: (12/20) | 10.21 s
-[Task 13/25] Current/Best: 9.12/ 22.31 GFLOPS | Progress: (16/20) | 12.98 s
-[Task 13/25] Current/Best: 10.90/ 22.31 GFLOPS | Progress: (20/20) | 15.35 s Done.
+[Task 13/25] Current/Best: 12.14/ 19.34 GFLOPS | Progress: (4/20) | 5.03 s
+[Task 13/25] Current/Best: 20.32/ 20.32 GFLOPS | Progress: (8/20) | 8.15 s
+[Task 13/25] Current/Best: 9.05/ 20.32 GFLOPS | Progress: (12/20) | 11.42 s
+[Task 13/25] Current/Best: 13.20/ 20.32 GFLOPS | Progress: (16/20) | 15.35 s
+[Task 13/25] Current/Best: 11.42/ 20.32 GFLOPS | Progress: (20/20) | 19.42 s Done.
[Task 14/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 14/25] Current/Best: 20.53/ 20.53 GFLOPS | Progress: (4/20) | 14.18 s
-[Task 14/25] Current/Best: 10.38/ 20.53 GFLOPS | Progress: (8/20) | 26.19 s
-[Task 14/25] Current/Best: 14.12/ 20.53 GFLOPS | Progress: (12/20) | 29.89 s
-[Task 14/25] Current/Best: 13.29/ 20.53 GFLOPS | Progress: (16/20) | 38.72 s
-[Task 14/25] Current/Best: 14.91/ 20.53 GFLOPS | Progress: (20/20) | 46.87 s Done.
-
+[Task 14/25] Current/Best: 9.36/ 18.46 GFLOPS | Progress: (4/20) | 6.89 s
+[Task 14/25] Current/Best: 17.40/ 20.71 GFLOPS | Progress: (8/20) | 9.26 s
+[Task 14/25] Current/Best: 3.49/ 20.71 GFLOPS | Progress: (12/20) | 20.73 s
+[Task 14/25] Current/Best: 15.46/ 20.71 GFLOPS | Progress: (16/20) | 24.37 s
+[Task 14/25] Current/Best: 12.82/ 20.71 GFLOPS | Progress: (20/20) | 27.61 s
[Task 15/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 15/25] Current/Best: 8.24/ 18.50 GFLOPS | Progress: (4/20) | 6.75 s
-[Task 15/25] Current/Best: 8.21/ 18.50 GFLOPS | Progress: (8/20) | 11.45 s
-[Task 15/25] Current/Best: 8.31/ 18.50 GFLOPS | Progress: (12/20) | 18.14 s
-[Task 15/25] Current/Best: 20.27/ 20.28 GFLOPS | Progress: (16/20) | 19.63 s
-[Task 15/25] Current/Best: 10.14/ 21.19 GFLOPS | Progress: (20/20) | 22.30 s Done.
+[Task 15/25] Current/Best: 21.06/ 21.06 GFLOPS | Progress: (4/20) | 7.88 s
+[Task 15/25] Current/Best: 11.47/ 22.05 GFLOPS | Progress: (8/20) | 10.85 s
+[Task 15/25] Current/Best: 7.33/ 22.05 GFLOPS | Progress: (12/20) | 13.90 s
+[Task 15/25] Current/Best: 5.26/ 22.05 GFLOPS | Progress: (16/20) | 16.09 s
+[Task 15/25] Current/Best: 6.25/ 22.05 GFLOPS | Progress: (20/20) | 20.43 s Done.
[Task 16/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 16/25] Current/Best: 14.43/ 17.35 GFLOPS | Progress: (4/20) | 4.32 s
-[Task 16/25] Current/Best: 15.73/ 17.35 GFLOPS | Progress: (8/20) | 7.52 s
-[Task 16/25] Current/Best: 16.63/ 17.35 GFLOPS | Progress: (12/20) | 9.63 s
-[Task 16/25] Current/Best: 13.36/ 22.92 GFLOPS | Progress: (16/20) | 11.48 s
-[Task 16/25] Current/Best: 16.98/ 22.92 GFLOPS | Progress: (20/20) | 13.28 s Done.
+[Task 16/25] Current/Best: 6.83/ 19.09 GFLOPS | Progress: (4/20) | 4.79 s Done.
+ Done.
+
+[Task 16/25] Current/Best: 7.84/ 19.09 GFLOPS | Progress: (8/20) | 6.60 s
+[Task 16/25] Current/Best: 6.23/ 19.09 GFLOPS | Progress: (12/20) | 8.78 s
+[Task 16/25] Current/Best: 9.45/ 19.09 GFLOPS | Progress: (16/20) | 11.44 s
+[Task 16/25] Current/Best: 6.34/ 19.09 GFLOPS | Progress: (20/20) | 13.93 s Done.
[Task 17/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 17/25] Current/Best: 7.95/ 20.36 GFLOPS | Progress: (4/20) | 5.49 s
-[Task 17/25] Current/Best: 11.73/ 22.55 GFLOPS | Progress: (8/20) | 8.94 s
-[Task 17/25] Current/Best: 14.12/ 22.55 GFLOPS | Progress: (12/20) | 11.30 s
-[Task 17/25] Current/Best: 9.02/ 22.55 GFLOPS | Progress: (16/20) | 13.64 s
-[Task 17/25] Current/Best: 3.20/ 22.55 GFLOPS | Progress: (20/20) | 16.75 s Done.
+[Task 17/25] Current/Best: 19.26/ 21.95 GFLOPS | Progress: (4/20) | 5.83 s
+[Task 17/25] Current/Best: 20.72/ 22.07 GFLOPS | Progress: (8/20) | 8.41 s
+[Task 17/25] Current/Best: 6.72/ 22.07 GFLOPS | Progress: (12/20) | 11.39 s
+[Task 17/25] Current/Best: 18.69/ 22.07 GFLOPS | Progress: (16/20) | 13.92 s
+[Task 17/25] Current/Best: 22.69/ 22.69 GFLOPS | Progress: (20/20) | 16.40 s Done.
[Task 18/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 18/25] Current/Best: 9.56/ 20.02 GFLOPS | Progress: (4/20) | 5.60 s
-[Task 18/25] Current/Best: 10.19/ 20.02 GFLOPS | Progress: (8/20) | 10.36 s
-[Task 18/25] Current/Best: 19.19/ 20.02 GFLOPS | Progress: (12/20) | 12.34 s
-[Task 18/25] Current/Best: 16.92/ 20.02 GFLOPS | Progress: (16/20) | 17.69 s
-[Task 18/25] Current/Best: 16.37/ 22.32 GFLOPS | Progress: (20/20) | 19.51 s Done.
+[Task 18/25] Current/Best: 14.43/ 15.03 GFLOPS | Progress: (4/20) | 6.55 s
+[Task 18/25] Current/Best: 19.77/ 19.77 GFLOPS | Progress: (8/20) | 9.96 s
+[Task 18/25] Current/Best: 14.71/ 19.77 GFLOPS | Progress: (12/20) | 12.71 s
+[Task 18/25] Current/Best: 18.04/ 21.05 GFLOPS | Progress: (16/20) | 15.52 s
+[Task 18/25] Current/Best: 15.27/ 21.05 GFLOPS | Progress: (20/20) | 20.12 s Done.
[Task 19/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 19/25] Current/Best: 20.33/ 20.33 GFLOPS | Progress: (4/20) | 4.76 s
-[Task 19/25] Current/Best: 9.57/ 20.33 GFLOPS | Progress: (8/20) | 12.08 s
-[Task 19/25] Current/Best: 19.59/ 20.33 GFLOPS | Progress: (12/20) | 15.58 s
-[Task 19/25] Current/Best: 10.68/ 22.62 GFLOPS | Progress: (16/20) | 18.76 s
-[Task 19/25] Current/Best: 4.97/ 22.62 GFLOPS | Progress: (20/20) | 21.95 s Done.
+[Task 19/25] Current/Best: 19.71/ 19.71 GFLOPS | Progress: (4/20) | 6.96 s
+[Task 19/25] Current/Best: 11.67/ 19.71 GFLOPS | Progress: (8/20) | 11.04 s
+[Task 19/25] Current/Best: 1.55/ 19.71 GFLOPS | Progress: (12/20) | 16.30 s
+[Task 19/25] Current/Best: 9.54/ 19.71 GFLOPS | Progress: (16/20) | 19.73 s
+[Task 19/25] Current/Best: 8.61/ 20.45 GFLOPS | Progress: (20/20) | 22.78 s Done.
[Task 20/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 20/25] Current/Best: 2.75/ 16.17 GFLOPS | Progress: (4/20) | 9.92 s
-[Task 20/25] Current/Best: 7.71/ 16.17 GFLOPS | Progress: (8/20) | 17.57 s
-[Task 20/25] Current/Best: 17.62/ 19.06 GFLOPS | Progress: (12/20) | 19.81 s
-[Task 20/25] Current/Best: 21.71/ 21.71 GFLOPS | Progress: (16/20) | 23.37 s
-[Task 20/25] Current/Best: 19.21/ 21.71 GFLOPS | Progress: (20/20) | 31.35 s Done.
+[Task 20/25] Current/Best: 6.51/ 12.04 GFLOPS | Progress: (4/20) | 10.70 s
+[Task 20/25] Current/Best: 5.08/ 21.79 GFLOPS | Progress: (8/20) | 18.10 s
+[Task 20/25] Current/Best: 16.87/ 21.79 GFLOPS | Progress: (12/20) | 22.82 s
+[Task 20/25] Current/Best: 3.59/ 21.79 GFLOPS | Progress: (16/20) | 29.78 s
+[Task 20/25] Current/Best: 8.00/ 21.79 GFLOPS | Progress: (20/20) | 32.37 s Done.
[Task 21/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 21/25] Current/Best: 19.59/ 19.59 GFLOPS | Progress: (4/20) | 9.03 s
-[Task 21/25] Current/Best: 7.89/ 19.59 GFLOPS | Progress: (8/20) | 16.36 s
-[Task 21/25] Current/Best: 9.44/ 23.67 GFLOPS | Progress: (12/20) | 22.13 s
-[Task 21/25] Current/Best: 15.15/ 23.67 GFLOPS | Progress: (16/20) | 25.91 s
-[Task 21/25] Current/Best: 12.10/ 23.67 GFLOPS | Progress: (20/20) | 27.64 s Done.
+[Task 21/25] Current/Best: 8.34/ 16.49 GFLOPS | Progress: (4/20) | 12.00 s
+[Task 21/25] Current/Best: 15.55/ 16.49 GFLOPS | Progress: (8/20) | 15.04 s
+[Task 21/25] Current/Best: 10.27/ 20.99 GFLOPS | Progress: (12/20) | 17.57 s
+[Task 21/25] Current/Best: 15.99/ 20.99 GFLOPS | Progress: (16/20) | 19.58 s
+[Task 21/25] Current/Best: 11.73/ 20.99 GFLOPS | Progress: (20/20) | 21.64 s Done.
[Task 22/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 22/25] Current/Best: 21.53/ 21.53 GFLOPS | Progress: (4/20) | 4.44 s
-[Task 22/25] Current/Best: 4.46/ 21.53 GFLOPS | Progress: (8/20) | 6.25 s
-[Task 22/25] Current/Best: 16.49/ 21.53 GFLOPS | Progress: (12/20) | 7.86 s
-[Task 22/25] Current/Best: 12.33/ 21.53 GFLOPS | Progress: (16/20) | 9.96 s
-[Task 22/25] Current/Best: 18.55/ 21.53 GFLOPS | Progress: (20/20) | 11.65 s Done.
+[Task 22/25] Current/Best: 10.90/ 19.46 GFLOPS | Progress: (4/20) | 5.45 s
+[Task 22/25] Current/Best: 16.91/ 19.93 GFLOPS | Progress: (8/20) | 7.08 s
+[Task 22/25] Current/Best: 17.20/ 19.93 GFLOPS | Progress: (12/20) | 10.44 s
+[Task 22/25] Current/Best: 15.35/ 19.93 GFLOPS | Progress: (16/20) | 13.66 s
+[Task 22/25] Current/Best: 14.82/ 19.93 GFLOPS | Progress: (20/20) | 15.59 s Done.
[Task 23/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 23/25] Current/Best: 12.47/ 12.47 GFLOPS | Progress: (4/20) | 6.32 s
-[Task 23/25] Current/Best: 9.35/ 21.27 GFLOPS | Progress: (8/20) | 9.61 s
-[Task 23/25] Current/Best: 18.35/ 21.27 GFLOPS | Progress: (12/20) | 12.13 s
-[Task 23/25] Current/Best: 12.54/ 22.25 GFLOPS | Progress: (16/20) | 15.04 s
-[Task 23/25] Current/Best: 13.71/ 22.25 GFLOPS | Progress: (20/20) | 18.18 s Done.
+[Task 23/25] Current/Best: 8.37/ 10.24 GFLOPS | Progress: (4/20) | 8.20 s
+[Task 23/25] Current/Best: 10.53/ 13.50 GFLOPS | Progress: (8/20) | 12.68 s
+[Task 23/25] Current/Best: 10.19/ 20.39 GFLOPS | Progress: (12/20) | 15.74 s
+[Task 23/25] Current/Best: 11.96/ 20.39 GFLOPS | Progress: (16/20) | 20.97 s
+[Task 23/25] Current/Best: 12.02/ 20.39 GFLOPS | Progress: (20/20) | 24.70 s Done.
[Task 24/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 24/25] Current/Best: 6.39/ 6.39 GFLOPS | Progress: (4/20) | 13.53 s
-[Task 24/25] Current/Best: 5.82/ 6.39 GFLOPS | Progress: (8/20) | 26.20 s
-[Task 24/25] Current/Best: 4.57/ 6.39 GFLOPS | Progress: (12/20) | 37.18 s
-[Task 24/25] Current/Best: 3.98/ 10.41 GFLOPS | Progress: (16/20) | 42.12 s
-[Task 24/25] Current/Best: 5.10/ 10.41 GFLOPS | Progress: (20/20) | 43.64 s Done.
-
+[Task 24/25] Current/Best: 2.02/ 7.88 GFLOPS | Progress: (4/20) | 13.31 s
+[Task 24/25] Current/Best: 3.13/ 8.76 GFLOPS | Progress: (8/20) | 21.95 s
+[Task 24/25] Current/Best: 3.08/ 9.38 GFLOPS | Progress: (12/20) | 32.96 s
+[Task 24/25] Current/Best: 9.40/ 9.40 GFLOPS | Progress: (16/20) | 43.94 s
+[Task 24/25] Current/Best: 2.99/ 9.40 GFLOPS | Progress: (20/20) | 54.97 s
[Task 25/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 25/25] Current/Best: 1.60/ 8.32 GFLOPS | Progress: (4/20) | 3.87 s
-[Task 25/25] Current/Best: 9.59/ 9.59 GFLOPS | Progress: (8/20) | 8.56 s
-[Task 25/25] Current/Best: 6.33/ 9.59 GFLOPS | Progress: (12/20) | 19.48 s
-[Task 25/25] Current/Best: 8.97/ 9.79 GFLOPS | Progress: (16/20) | 30.47 s
-[Task 25/25] Current/Best: 5.17/ 9.79 GFLOPS | Progress: (20/20) | 32.89 s
+[Task 25/25] Current/Best: 6.12/ 6.12 GFLOPS | Progress: (4/20) | 5.25 s
+[Task 25/25] Current/Best: 5.70/ 9.50 GFLOPS | Progress: (8/20) | 16.22 s Done.
+
+[Task 25/25] Current/Best: 4.17/ 9.50 GFLOPS | Progress: (12/20) | 27.21 s
+[Task 25/25] Current/Best: 5.62/ 9.50 GFLOPS | Progress: (16/20) | 30.60 s
+[Task 25/25] Current/Best: 1.55/ 9.50 GFLOPS | Progress: (20/20) | 41.58 s
</pre></div>
</div>
<p>The output from this tuning process will look something like this:</p>
@@ -1003,8 +1003,8 @@ model using optimized operators to speed up our computations.</p>
<span class="nb">print</span><span class="p">(</span><span class="s2">"class='</span><span class="si">%s</span><span class="s2">' with probability=</span><span class="si">%f</span><span class="s2">"</span> <span class="o">%</span> <span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">labels</span></a [...]
</pre></div>
</div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>class='n02123045 tabby, tabby cat' with probability=0.621103
-class='n02123159 tiger cat' with probability=0.356379
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>class='n02123045 tabby, tabby cat' with probability=0.621104
+class='n02123159 tiger cat' with probability=0.356378
class='n02124075 Egyptian cat' with probability=0.019712
class='n02129604 tiger, Panthera tigris' with probability=0.001215
class='n04040759 radiator' with probability=0.000262
@@ -1041,8 +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': 392.2611214599965, 'median': 391.39143365000564, 'std': 2.269423049084776}
-unoptimized: {'mean': 467.92921693000034, 'median': 467.40489145000197, 'std': 2.0345062157885114}
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>optimized: {'mean': 426.1756008200018, 'median': 425.4070273000025, 'std': 1.7172570777414227}
+unoptimized: {'mean': 495.3516902299998, 'median': 496.1572859500052, 'std': 3.235179294384345}
</pre></div>
</div>
</div>
@@ -1056,7 +1056,7 @@ models.</p>
<p>Here we presented a simple example using ResNet-50 v2 locally. However, TVM
supports many more features including cross-compilation, remote execution and
profiling/benchmarking.</p>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 12 minutes 35.385 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 14 minutes 4.625 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 1c027c9db4..f9389122b6 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>1.181e-07 secs/op
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>1.198e-07 secs/op
</pre></div>
</div>
</div>
diff --git a/docs/tutorial/intro_topi.html b/docs/tutorial/intro_topi.html
index a2ffe5bb55..adbdfae1dc 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, 0x88f8150)), stage(b, placeholder(b, 0x312e38a0)), 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, 0x2a8ecf70)), stage(b, placeholder(b, 0x17e875b0)), stage(T_add, compute(T_add, body=[a[ax0, ax1, ax2] + b[ax1, ax2]], axis=[T.iter_var(ax0, T.Range(0, 100), "DataPar", ""), T.iter_var(ax1, T.Range(0, 10), "DataPar", ""), T.iter_var(ax2, T.Range(0, 10), "DataPar", "")], reduce_axis=[], tag=broadcast, attr [...]
</pre></div>
</div>
<p>We can test the correctness by comparing with <code class="code docutils literal notranslate"><span class="pre">numpy</span></code> result as follows</p>
diff --git a/docs/tutorial/sg_execution_times.html b/docs/tutorial/sg_execution_times.html
index 50f08f39a9..5182a4269f 100644
--- a/docs/tutorial/sg_execution_times.html
+++ b/docs/tutorial/sg_execution_times.html
@@ -360,7 +360,7 @@
<div class="section" id="computation-times">
<span id="sphx-glr-tutorial-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
-<p><strong>16:01.762</strong> total execution time for <strong>tutorial</strong> files:</p>
+<p><strong>18:00.164</strong> total execution time for <strong>tutorial</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 83%" />
@@ -369,35 +369,35 @@
</colgroup>
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="autotvm_relay_x86.html#sphx-glr-tutorial-autotvm-relay-x86-py"><span class="std std-ref">Compiling and Optimizing a Model with the Python Interface (AutoTVM)</span></a> (<code class="docutils literal notranslate"><span class="pre">autotvm_relay_x86.py</span></code>)</p></td>
-<td><p>12:35.385</p></td>
+<td><p>14:04.625</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>01:18.268</p></td>
+<td><p>01:40.690</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>00:59.035</p></td>
+<td><p>01:02.210</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="relay_quick_start.html#sphx-glr-tutorial-relay-quick-start-py"><span class="std std-ref">Quick Start Tutorial for Compiling Deep Learning Models</span></a> (<code class="docutils literal notranslate"><span class="pre">relay_quick_start.py</span></code>)</p></td>
-<td><p>00:41.715</p></td>
+<td><p>00:44.190</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="autotvm_matmul_x86.html#sphx-glr-tutorial-autotvm-matmul-x86-py"><span class="std std-ref">Optimizing Operators with Schedule Templates and AutoTVM</span></a> (<code class="docutils literal notranslate"><span class="pre">autotvm_matmul_x86.py</span></code>)</p></td>
-<td><p>00:24.313</p></td>
+<td><p>00:25.460</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>00:01.988</p></td>
+<td><p>00:01.814</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>00:00.868</p></td>
+<td><p>00:00.964</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>00:00.189</p></td>
+<td><p>00:00.211</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 d2eaf1ffd9..e2f3f3254e 100644
--- a/docs/tutorial/tensor_expr_get_started.html
+++ b/docs/tutorial/tensor_expr_get_started.html
@@ -569,7 +569,7 @@ helper function to run a profile of the TVM generated code.</p>
<span class="n">evaluate_addition</span><span class="p">(</span><span class="n">fadd</span><span class="p">,</span> <a href="../reference/api/python/target.html#tvm.target.Target" title="tvm.target.Target" class="sphx-glr-backref-module-tvm-target sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">tgt</span></a><span class="p">,</span> <span class="s2">"naive"</span><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#list" ti [...]
</pre></div>
</div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Numpy running time: 0.000005
+<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>
@@ -625,7 +625,7 @@ compile and run this new schedule with the parallel operation applied:</p>
<span class="n">evaluate_addition</span><span class="p">(</span><span class="n">fadd_parallel</span><span class="p">,</span> <a href="../reference/api/python/target.html#tvm.target.Target" title="tvm.target.Target" class="sphx-glr-backref-module-tvm-target sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">tgt</span></a><span class="p">,</span> <span class="s2">"parallel"</span><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.h [...]
</pre></div>
</div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>parallel: 0.000006
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>parallel: 0.000008
</pre></div>
</div>
</div>
@@ -664,7 +664,7 @@ factor to be the number of threads on your CPU.</p>
<span class="nb">print</span><span class="p">(</span><a href="../reference/api/python/driver.html#tvm.lower" title="tvm.lower" class="sphx-glr-backref-module-tvm sphx-glr-backref-type-py-function"><span class="n">tvm</span><span class="o">.</span><span class="n">lower</span></a><span class="p">(</span><a href="../reference/api/python/te.html#tvm.te.Schedule" title="tvm.te.Schedule" class="sphx-glr-backref-module-tvm-te sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class [...]
</pre></div>
</div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>vector: 0.000038
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>vector: 0.000039
# from tvm.script import ir as I
# from tvm.script import tir as T
@@ -701,10 +701,10 @@ class Module:
</pre></div>
</div>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Operator Timing Performance
- numpy 5.366780001168081e-06 1.0
- naive 5.8041e-06 1.0814864776899251
-parallel 5.8909e-06 1.0976600491761996
- vector 3.80238e-05 7.08503050091938
+ numpy 8.006929999737621e-06 1.0
+ naive 6.0307e-06 0.7531850534721322
+parallel 8.1656e-06 1.0198165839176287
+ vector 3.94912e-05 4.9321275446761845
</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: 0.015292
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Numpy running time: 0.018324
</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: 3.413095
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>none: 3.546359
</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: 0.282792
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>blocking: 0.299746
</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: 0.265991
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>vectorization: 0.278895
# 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: 0.109700
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>loop permutation: 0.119459
# 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: 0.102992
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>array packing: 0.108993
# 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: 0.097179
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>block caching: 0.112493
# 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: 0.115386
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>parallelization: 0.133821
# 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 3.4130947926 1.0
- blocking 0.2827922101 0.08285507062772693
- vectorization 0.2659907575 0.07793242604239999
-loop permutation 0.109699882 0.03214088346970103
- array packing 0.10299175889999998 0.030175475677762745
- block caching 0.09717869100000001 0.02847230941569367
- parallelization 0.1153857461 0.03380678038892157
+ none 3.5463593468 1.0
+ blocking 0.2997457018 0.08452208941275809
+ vectorization 0.27889544689999995 0.07864274869709882
+loop permutation 0.11945942229999999 0.033685086765894795
+ array packing 0.1089933914 0.03073388248101491
+ block caching 0.11249329769999998 0.031720783682428144
+ parallelization 0.1338211818 0.03773480595550797
</pre></div>
</div>
<p>Note that the outputs on the web page reflect the running times on a
@@ -1507,6 +1507,7 @@ is</p>
you can build generic templates of the matrix multiplication and other
operations with tunable parameters that allows you to automatically optimize
the computation for specific platforms.</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 2.210 seconds)</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorial-tensor-expr-get-started-py">
<div class="sphx-glr-download sphx-glr-download-python docutils container">
<p><a class="reference download internal" download="" href="../_downloads/40a01cffb015a67aaec0fad7e27cf80d/tensor_expr_get_started.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">tensor_expr_get_started.py</span></code></a></p>