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Posted to commits@tvm.apache.org by tq...@apache.org on 2024/11/26 16:40:43 UTC
(tvm-site) branch asf-site updated: deploying docs (apache/tvm@7ae7ea836169d3cf28b05c7d0dd2cb6a2045508e)
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 416c814555 deploying docs (apache/tvm@7ae7ea836169d3cf28b05c7d0dd2cb6a2045508e)
416c814555 is described below
commit 416c814555dca3e3d4867bf860188151c60a2260
Author: tvm-bot <95...@users.noreply.github.com>
AuthorDate: Tue Nov 26 16:40:35 2024 +0000
deploying docs (apache/tvm@7ae7ea836169d3cf28b05c7d0dd2cb6a2045508e)
---
.../micro_autotune.zip | Bin 24214 -> 24214 bytes
.../deploy_model_on_rasp.zip | Bin 18389 -> 18389 bytes
.../relay_quick_start.zip | Bin 13512 -> 13512 bytes
.../11c11e53c7dace51a8be968ee169ed0d/ir_module.zip | Bin 23868 -> 23868 bytes
.../tune_network_mali.zip | Bin 32722 -> 32722 bytes
.../tir_transformation.zip | Bin 15571 -> 15571 bytes
.../deploy_model_on_android.zip | Bin 25077 -> 25077 bytes
.../low_level_custom_pass.zip | Bin 15394 -> 15394 bytes
.../1f4d13a71e86b5e463ada947e48c3e45/uma.zip | Bin 20759 -> 20759 bytes
.../tuple_inputs.zip | Bin 10513 -> 10513 bytes
.../using_relay_viz.zip | Bin 15347 -> 15347 bytes
.../opt_conv_cuda.zip | Bin 19713 -> 19713 bytes
.../opt_conv_tensorcore.zip | Bin 31527 -> 31527 bytes
.../micro_custom_ide.zip | Bin 36321 -> 36321 bytes
.../tune_relay_x86.zip | Bin 27514 -> 27514 bytes
.../relax_creation.zip | Bin 22392 -> 22392 bytes
.../micro_tflite.zip | Bin 23897 -> 23897 bytes
.../tune_relay_cuda.zip | Bin 33422 -> 33422 bytes
.../autotvm_relay_x86.zip | Bin 50170 -> 50170 bytes
.../52ca06b1492c016b5606858aa343fa41/extern_op.zip | Bin 12072 -> 12072 bytes
.../from_keras.zip | Bin 12200 -> 12200 bytes
.../tvmc_command_line_driver.zip | Bin 42834 -> 42834 bytes
.../tune_conv2d_layer_cuda.zip | Bin 20379 -> 20379 bytes
.../using_pipeline_executor.zip | Bin 23989 -> 23989 bytes
.../7a0a8facfeab14d7bf3a753393370a6d/micro_aot.zip | Bin 18926 -> 18926 bytes
.../relax_transformation.zip | Bin 11460 -> 11460 bytes
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.../from_paddle.zip | Bin 9777 -> 9777 bytes
.../829154f7eb05db31b895205b5d7e2f99/opt_gemm.zip | Bin 32757 -> 32757 bytes
.../from_coreml.zip | Bin 9964 -> 9964 bytes
.../tensor_expr_get_started.zip | Bin 84773 -> 84773 bytes
.../optimize_llm.zip | Bin 53544 -> 53544 bytes
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.../tune_relay_mobile_gpu.zip | Bin 35269 -> 35269 bytes
.../tensor_ir_blitz_course.zip | Bin 17306 -> 17306 bytes
.../tvmc_python.zip | Bin 19300 -> 19300 bytes
.../deploy_prequantized_tflite.zip | Bin 23576 -> 23576 bytes
.../micro_ethosu.zip | Bin 38806 -> 38806 bytes
.../e2e_opt_model.zip | Bin 11127 -> 11127 bytes
.../schedule_primitives.zip | Bin 18746 -> 18746 bytes
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.../deploy_model_on_nano.zip | Bin 19367 -> 19367 bytes
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.../use_pass_infra.zip | Bin 25968 -> 25968 bytes
.../tune_network_arm.zip | Bin 37769 -> 37769 bytes
.../from_tensorflow.zip | Bin 20030 -> 20030 bytes
.../deploy_model_on_adreno_tvmc.zip | Bin 16316 -> 16316 bytes
.../deploy_object_detection_pytorch.zip | Bin 11749 -> 11749 bytes
.../ce5acce4e762d86c1eaea8cc8fcc6388/reduction.zip | Bin 18296 -> 18296 bytes
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.../micro_mlperftiny.zip | Bin 26747 -> 26747 bytes
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.../from_pytorch.zip | Bin 13188 -> 13188 bytes
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diff --git a/docs/_downloads/f883900a18e6e99f70b43cf9526035c6/tensorize.zip b/docs/_downloads/f883900a18e6e99f70b43cf9526035c6/tensorize.zip
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diff --git a/docs/_downloads/fbb01a2cb1343a3e0998395f1eef06ca/from_darknet.zip b/docs/_downloads/fbb01a2cb1343a3e0998395f1eef06ca/from_darknet.zip
index 760f5c5666..f34aa06e52 100644
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diff --git a/docs/_downloads/fcdac0bf86f887eb19af04382ddf8a23/intro_topi.zip b/docs/_downloads/fcdac0bf86f887eb19af04382ddf8a23/intro_topi.zip
index 6a026f8a39..5eabba900c 100644
Binary files a/docs/_downloads/fcdac0bf86f887eb19af04382ddf8a23/intro_topi.zip and b/docs/_downloads/fcdac0bf86f887eb19af04382ddf8a23/intro_topi.zip differ
diff --git a/docs/_sources/deep_dive/relax/tutorials/sg_execution_times.rst.txt b/docs/_sources/deep_dive/relax/tutorials/sg_execution_times.rst.txt
index f2bbaef611..8f6071036e 100644
--- a/docs/_sources/deep_dive/relax/tutorials/sg_execution_times.rst.txt
+++ b/docs/_sources/deep_dive/relax/tutorials/sg_execution_times.rst.txt
@@ -6,7 +6,7 @@
Computation times
=================
-**00:00.305** total execution time for 2 files **from deep_dive/relax/tutorials**:
+**00:00.278** total execution time for 2 files **from deep_dive/relax/tutorials**:
.. container::
@@ -33,8 +33,8 @@ Computation times
- Time
- Mem (MB)
* - :ref:`sphx_glr_deep_dive_relax_tutorials_relax_creation.py` (``relax_creation.py``)
- - 00:00.214
+ - 00:00.189
- 0.0
* - :ref:`sphx_glr_deep_dive_relax_tutorials_relax_transformation.py` (``relax_transformation.py``)
- - 00:00.091
+ - 00:00.089
- 0.0
diff --git a/docs/_sources/deep_dive/tensor_ir/tutorials/sg_execution_times.rst.txt b/docs/_sources/deep_dive/tensor_ir/tutorials/sg_execution_times.rst.txt
index a4a62975a3..7394d29bab 100644
--- a/docs/_sources/deep_dive/tensor_ir/tutorials/sg_execution_times.rst.txt
+++ b/docs/_sources/deep_dive/tensor_ir/tutorials/sg_execution_times.rst.txt
@@ -6,7 +6,7 @@
Computation times
=================
-**00:00.654** total execution time for 2 files **from deep_dive/tensor_ir/tutorials**:
+**00:00.647** total execution time for 2 files **from deep_dive/tensor_ir/tutorials**:
.. container::
@@ -33,8 +33,8 @@ Computation times
- Time
- Mem (MB)
* - :ref:`sphx_glr_deep_dive_tensor_ir_tutorials_tir_transformation.py` (``tir_transformation.py``)
- - 00:00.364
+ - 00:00.370
- 0.0
* - :ref:`sphx_glr_deep_dive_tensor_ir_tutorials_tir_creation.py` (``tir_creation.py``)
- - 00:00.291
+ - 00:00.278
- 0.0
diff --git a/docs/_sources/deep_dive/tensor_ir/tutorials/tir_transformation.rst.txt b/docs/_sources/deep_dive/tensor_ir/tutorials/tir_transformation.rst.txt
index 4e1c8778a8..9c9b80d1f9 100644
--- a/docs/_sources/deep_dive/tensor_ir/tutorials/tir_transformation.rst.txt
+++ b/docs/_sources/deep_dive/tensor_ir/tutorials/tir_transformation.rst.txt
@@ -123,7 +123,7 @@ original implementation.
Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 2.3166 2.3166 2.3166 2.3166 0.0000
+ 2.3177 2.3177 2.3177 2.3177 0.0000
@@ -295,7 +295,7 @@ action involves reordering these two loops.
Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 0.9777 0.9777 0.9777 0.9777 0.0000
+ 0.9845 0.9845 0.9845 0.9845 0.0000
@@ -423,7 +423,7 @@ from the reduction update via the **decompose_reduction** primitive.
Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 0.3289 0.3289 0.3289 0.3289 0.0000
+ 0.3371 0.3371 0.3371 0.3371 0.0000
diff --git a/docs/_sources/get_started/tutorials/sg_execution_times.rst.txt b/docs/_sources/get_started/tutorials/sg_execution_times.rst.txt
index 3064c57960..10911becae 100644
--- a/docs/_sources/get_started/tutorials/sg_execution_times.rst.txt
+++ b/docs/_sources/get_started/tutorials/sg_execution_times.rst.txt
@@ -6,7 +6,7 @@
Computation times
=================
-**00:03.262** total execution time for 2 files **from get_started/tutorials**:
+**00:02.674** total execution time for 2 files **from get_started/tutorials**:
.. container::
@@ -33,8 +33,8 @@ Computation times
- Time
- Mem (MB)
* - :ref:`sphx_glr_get_started_tutorials_ir_module.py` (``ir_module.py``)
- - 00:02.979
+ - 00:02.453
- 0.0
* - :ref:`sphx_glr_get_started_tutorials_quick_start.py` (``quick_start.py``)
- - 00:00.283
+ - 00:00.221
- 0.0
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 c8a4156ea2..7f358ca96f 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 44.860 seconds)
+ **Total running time of the script:** (1 minutes 39.210 seconds)
.. _sphx_glr_download_how_to_compile_models_from_darknet.py:
diff --git a/docs/_sources/how_to/compile_models/from_keras.rst.txt b/docs/_sources/how_to/compile_models/from_keras.rst.txt
index 3d3f84561d..ee1d36e76a 100644
--- a/docs/_sources/how_to/compile_models/from_keras.rst.txt
+++ b/docs/_sources/how_to/compile_models/from_keras.rst.txt
@@ -232,7 +232,7 @@ Look up prediction top 1 index in 1000 class synset.
.. code-block:: none
Relay top-1 id: 285, class name: Egyptian cat
- 1/1 [==============================] - ETA: 0s 1/1 [==============================] - 1s 1s/step
+ 1/1 [==============================] - ETA: 0s 1/1 [==============================] - 1s 921ms/step
Keras top-1 id: 285, class name: Egyptian cat
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 17dd734d12..c5df0a92d9 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 13.707 seconds)
+ **Total running time of the script:** (1 minutes 6.833 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 2435470e4b..efa253173e 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-py3.9/lib/python3.9/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] 15%|█▍ | 6.50M/44.7M [00:00<00:00, 67.9MB/s] 30%|██▉ | 13.2M/44.7M [00:00<00:00, 69.4MB/s] 46%|████▋ | 20.8M/44.7M [00:00<00:00, 73.6MB/s] 62%|██████▏ | 27.9M/44.7M [00:00<00:00, 73.9MB/s] 78%|███████▊ | 35.0M/44.7M [00:00<00:00, 73.2MB/s] 94%|█████████▍| 42.0M/44.7M [00:00<00:00, 62.9MB/s] 100%|██████████| 44.7M/44.7M [00:00<00:00, 67.9MB/s]
+ 0%| | 0.00/44.7M [00:00<?, ?B/s] 35%|███▌ | 15.8M/44.7M [00:00<00:00, 164MB/s] 84%|████████▍ | 37.6M/44.7M [00:00<00:00, 202MB/s] 100%|██████████| 44.7M/44.7M [00:00<00:00, 201MB/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 f5bdabd62e..cf0062b7b8 100644
--- a/docs/_sources/how_to/compile_models/from_tensorflow.rst.txt
+++ b/docs/_sources/how_to/compile_models/from_tensorflow.rst.txt
@@ -424,7 +424,7 @@ Run the corresponding model on tensorflow
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** (1 minutes 46.340 seconds)
+ **Total running time of the script:** (1 minutes 36.387 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 db10fd8a2c..d33c439a67 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
@@ -6,7 +6,7 @@
Computation times
=================
-**06:50.467** total execution time for 8 files **from how_to/compile_models**:
+**06:14.379** total execution time for 8 files **from how_to/compile_models**:
.. container::
@@ -32,27 +32,27 @@ Computation times
* - Example
- Time
- Mem (MB)
- * - :ref:`sphx_glr_how_to_compile_models_from_tensorflow.py` (``from_tensorflow.py``)
- - 01:46.340
- - 0.0
* - :ref:`sphx_glr_how_to_compile_models_from_darknet.py` (``from_darknet.py``)
- - 01:44.860
+ - 01:39.210
+ - 0.0
+ * - :ref:`sphx_glr_how_to_compile_models_from_tensorflow.py` (``from_tensorflow.py``)
+ - 01:36.387
- 0.0
* - :ref:`sphx_glr_how_to_compile_models_from_paddle.py` (``from_paddle.py``)
- - 01:13.707
+ - 01:06.833
- 0.0
* - :ref:`sphx_glr_how_to_compile_models_from_coreml.py` (``from_coreml.py``)
- - 00:47.238
+ - 00:41.074
- 0.0
* - :ref:`sphx_glr_how_to_compile_models_from_pytorch.py` (``from_pytorch.py``)
- - 00:32.273
+ - 00:29.254
- 0.0
* - :ref:`sphx_glr_how_to_compile_models_from_keras.py` (``from_keras.py``)
- - 00:30.347
+ - 00:26.886
- 0.0
* - :ref:`sphx_glr_how_to_compile_models_from_tflite.py` (``from_tflite.py``)
- - 00:12.541
+ - 00:11.920
- 0.0
* - :ref:`sphx_glr_how_to_compile_models_from_onnx.py` (``from_onnx.py``)
- - 00:03.161
+ - 00:02.815
- 0.0
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 9a041e54fd..fc0e0f7d02 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
@@ -664,7 +664,7 @@ 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)
- 4145.2366 4145.0039 4152.0037 4141.2334 3.2930
+ 3992.7618 3992.8940 3995.3456 3989.4733 1.7724
@@ -672,7 +672,7 @@ well as provides information about the model's performance
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** (1 minutes 25.280 seconds)
+ **Total running time of the script:** (1 minutes 19.486 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 f294197f36..1834cf1963 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
@@ -142,7 +142,7 @@ Make a PyTorch Resnet50 Model
/venv/apache-tvm-py3.9/lib/python3.9/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=ResNet50_Weights.IMAGENET1K_V1`. You can also use `weights=ResNet50_Weights.DEFAULT` to get the most up-to-date weights.
warnings.warn(msg)
Downloading: "https://download.pytorch.org/models/resnet50-0676ba61.pth" to /workspace/.cache/torch/hub/checkpoints/resnet50-0676ba61.pth
- 0%| | 0.00/97.8M [00:00<?, ?B/s] 10%|█ | 9.88M/97.8M [00:00<00:00, 103MB/s] 21%|██ | 20.5M/97.8M [00:00<00:00, 108MB/s] 43%|████▎ | 42.0M/97.8M [00:00<00:00, 161MB/s] 65%|██████▍ | 63.4M/97.8M [00:00<00:00, 186MB/s] 87%|████████▋ | 84.8M/97.8M [00:00<00:00, 199MB/s] 100%|██████████| 97.8M/97.8M [00:00<00:00, 182MB/s]
+ 0%| | 0.00/97.8M [00:00<?, ?B/s] 17%|█▋ | 16.9M/97.8M [00:00<00:00, 176MB/s] 41%|████ | 39.9M/97.8M [00:00<00:00, 214MB/s] 64%|██████▍ | 62.9M/97.8M [00:00<00:00, 226MB/s] 88%|████████▊ | 85.8M/97.8M [00:00<00:00, 231MB/s] 100%|██████████| 97.8M/97.8M [00:00<00:00, 226MB/s]
@@ -677,7 +677,7 @@ Let tvmc fill inputs using random
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** (1 minutes 14.549 seconds)
+ **Total running time of the script:** (1 minutes 3.927 seconds)
.. _sphx_glr_download_how_to_deploy_models_deploy_model_on_adreno_tvmc.py:
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 ed43446e00..50cc830290 100644
--- a/docs/_sources/how_to/deploy_models/deploy_model_on_android.rst.txt
+++ b/docs/_sources/how_to/deploy_models/deploy_model_on_android.rst.txt
@@ -437,7 +437,7 @@ Execute on TVM
Evaluate inference time cost...
Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 16.9095 16.8923 18.0605 16.2384 0.6199
+ 14.6766 14.6263 15.3532 14.3708 0.2559
@@ -469,11 +469,6 @@ To speed up, we need to write and optimize the schedule according to the GPU arc
Mean inference time (std dev): 465.80 ms (4.52 ms)
-.. rst-class:: sphx-glr-timing
-
- **Total running time of the script:** (1 minutes 2.676 seconds)
-
-
.. _sphx_glr_download_how_to_deploy_models_deploy_model_on_android.py:
.. only:: html
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 db02ab2d07..f58ac23334 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-py3.9/lib/python3.9/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=MaskRCNN_ResNet50_FPN_Weights.COCO_V1`. You can also use `weights=MaskRCNN_ResNet50_FPN_Weights.DEFAULT` to get the most up-to-date weights.
warnings.warn(msg)
Downloading: "https://download.pytorch.org/models/maskrcnn_resnet50_fpn_coco-bf2d0c1e.pth" to /workspace/.cache/torch/hub/checkpoints/maskrcnn_resnet50_fpn_coco-bf2d0c1e.pth
- 0%| | 0.00/170M [00:00<?, ?B/s] 4%|▍ | 6.88M/170M [00:00<00:02, 71.1MB/s] 9%|▊ | 14.8M/170M [00:00<00:02, 76.3MB/s] 13%|█▎ | 22.1M/170M [00:00<00:02, 75.2MB/s] 17%|█▋ | 29.5M/170M [00:00<00:01, 75.6MB/s] 22%|██▏ | 36.8M/170M [00:00<00:01, 72.0MB/s] 26%|██▌ | 43.8M/170M [00:00<00:01, 72.0MB/s] 30%|███ | 51.8M/170M [00:00<00:01, 75.3MB/s] 35%|███▍ | 59.0M/170M [00:00<00:01, 74.9MB/s] 39%|███▉ | 66.4M/170M [00:00<00:01, 75.6MB/s] 43%|████▎ | 73.6M/170M [00:01<00:01, 74.4MB/s] 48%|████▊ | 81.5M/170M [00:01<00:01, 76.6MB/s] 53%|█████▎ | 89.2M/170M [00:01<00:01, 77.6MB/s] 57%|█████▋ | 96.8M/170M [00:01<00:01, 72.3MB/s] 61%|██████▏ | 104M/170M [00:01<00:00, 73.3MB/s] 66%|██████▌ | 111M/170M [00:01<00:00, 69
.9MB/s] 70%|██████▉ | 119M/170M [00:01<00:00, 71.9MB/s] 74%|███████▍ | 126M/170M [00:01<00:00, 72.3MB/s] 79%|███████▉ | 134M/170M [00:01<00:00, 76.1MB/s] 83%|████████▎ | 142M/170M [00:01<00:00, 76.7MB/s] 88%|████████▊ | 149M/170M [00:02<00:00, 74.2MB/s] 92%|█████████▏| 156M/170M [00:02<00:00, 74.9MB/s] 97%|█████████▋| 164M/170M [00:02<00:00, 76.5MB/s] 100%|██████████| 170M/170M [00:02<00:00, 74.7MB/s]
+ 0%| | 0.00/170M [00:00<?, ?B/s] 7%|▋ | 11.9M/170M [00:00<00:01, 124MB/s] 17%|█▋ | 29.1M/170M [00:00<00:00, 157MB/s] 28%|██▊ | 47.5M/170M [00:00<00:00, 173MB/s] 39%|███▉ | 66.6M/170M [00:00<00:00, 184MB/s] 51%|█████ | 85.9M/170M [00:00<00:00, 190MB/s] 62%|██████▏ | 105M/170M [00:00<00:00, 193MB/s] 73%|███████▎ | 124M/170M [00:00<00:00, 197MB/s] 85%|████████▍ | 144M/170M [00:00<00:00, 198MB/s] 96%|█████████▌| 163M/170M [00:00<00:00, 199MB/s] 100%|██████████| 170M/170M [00:00<00:00, 190MB/s]
/venv/apache-tvm-py3.9/lib/python3.9/site-packages/torch/nn/functional.py:4031: 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-py3.9/lib/python3.9/site-packages/torchvision/ops/boxes.py:166: 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).
@@ -299,7 +299,7 @@ Get boxes with score larger than 0.9
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** (4 minutes 37.081 seconds)
+ **Total running time of the script:** (3 minutes 36.097 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 c0725cca4b..f69636e4ba 100644
--- a/docs/_sources/how_to/deploy_models/deploy_prequantized.rst.txt
+++ b/docs/_sources/how_to/deploy_models/deploy_prequantized.rst.txt
@@ -225,7 +225,7 @@ training. Other models require a full post training calibration.
/venv/apache-tvm-py3.9/lib/python3.9/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] 100%|██████████| 13.6M/13.6M [00:00<00:00, 151MB/s]
+ 0%| | 0.00/13.6M [00:00<?, ?B/s] 94%|█████████▍| 12.8M/13.6M [00:00<00:00, 134MB/s] 100%|██████████| 13.6M/13.6M [00:00<00:00, 136MB/s]
@@ -398,7 +398,7 @@ 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)
- 90.4647 90.4161 91.5291 89.7735 0.3520
+ 88.9047 88.7879 90.6897 88.5796 0.3289
@@ -446,7 +446,7 @@ TODO
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** (1 minutes 52.686 seconds)
+ **Total running time of the script:** (1 minutes 36.118 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 58f9596ae1..a7463c2cda 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)
- 112.3656 112.3075 114.5278 111.6508 0.4215
+ 110.2761 110.1727 115.5153 109.6101 0.6321
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 246dc46b4c..80fdd0e9a2 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
@@ -6,7 +6,7 @@
Computation times
=================
-**12:20.887** total execution time for 9 files **from how_to/deploy_models**:
+**10:25.722** total execution time for 9 files **from how_to/deploy_models**:
.. container::
@@ -33,29 +33,29 @@ Computation times
- Time
- Mem (MB)
* - :ref:`sphx_glr_how_to_deploy_models_deploy_object_detection_pytorch.py` (``deploy_object_detection_pytorch.py``)
- - 04:37.081
+ - 03:36.097
- 0.0
* - :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized.py` (``deploy_prequantized.py``)
- - 01:52.686
+ - 01:36.118
- 0.0
* - :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_adreno.py` (``deploy_model_on_adreno.py``)
- - 01:25.280
+ - 01:19.486
- 0.0
* - :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_adreno_tvmc.py` (``deploy_model_on_adreno_tvmc.py``)
- - 01:14.549
- - 0.0
- * - :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_android.py` (``deploy_model_on_android.py``)
- - 01:02.676
+ - 01:03.927
- 0.0
* - :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized_tflite.py` (``deploy_prequantized_tflite.py``)
- - 00:58.365
+ - 00:54.256
+ - 0.0
+ * - :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_android.py` (``deploy_model_on_android.py``)
+ - 00:54.107
- 0.0
* - :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_nano.py` (``deploy_model_on_nano.py``)
- - 00:35.292
+ - 00:30.989
- 0.0
* - :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_rasp.py` (``deploy_model_on_rasp.py``)
- - 00:34.953
+ - 00:30.736
- 0.0
* - :ref:`sphx_glr_how_to_deploy_models_deploy_sparse.py` (``deploy_sparse.py``)
- - 00:00.007
+ - 00:00.006
- 0.0
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 2a6d9755b8..4051c6a20a 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
@@ -6,7 +6,7 @@
Computation times
=================
-**00:05.309** total execution time for 3 files **from how_to/extend_tvm**:
+**00:04.365** total execution time for 3 files **from how_to/extend_tvm**:
.. container::
@@ -33,11 +33,11 @@ Computation times
- Time
- Mem (MB)
* - :ref:`sphx_glr_how_to_extend_tvm_use_pass_instrument.py` (``use_pass_instrument.py``)
- - 00:03.715
+ - 00:03.010
- 0.0
* - :ref:`sphx_glr_how_to_extend_tvm_use_pass_infra.py` (``use_pass_infra.py``)
- - 00:01.585
+ - 00:01.347
- 0.0
* - :ref:`sphx_glr_how_to_extend_tvm_low_level_custom_pass.py` (``low_level_custom_pass.py``)
- - 00:00.009
+ - 00:00.007
- 0.0
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 1d2e050ded..b4f7cf7ae1 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: 27711us [27711us] (48.67%; 48.67%)
- FoldScaleAxis: 29220us [17us] (51.33%; 51.33%)
- FoldConstant: 29203us [2103us] (51.30%; 99.94%)
- InferType: 27100us [27100us] (47.60%; 92.80%)
+ InferType: 25451us [25451us] (48.44%; 48.44%)
+ FoldScaleAxis: 27093us [11us] (51.56%; 51.56%)
+ FoldConstant: 27081us [1856us] (51.54%; 99.96%)
+ InferType: 25226us [25226us] (48.01%; 93.15%)
@@ -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: 27511us [27511us] (48.39%; 48.39%)
- FoldScaleAxis: 29339us [15us] (51.61%; 51.61%)
- FoldConstant: 29324us [2311us] (51.58%; 99.95%)
- InferType: 27014us [27014us] (47.52%; 92.12%)
+ InferType: 25182us [25182us] (48.14%; 48.14%)
+ FoldScaleAxis: 27127us [11us] (51.86%; 51.86%)
+ FoldConstant: 27116us [1898us] (51.84%; 99.96%)
+ InferType: 25219us [25219us] (48.21%; 93.00%)
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 fa80956f05..2466a61e9c 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: 53.387294 ms
+ Convolution: 38.999359 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 edf072a0da..570e384e05 100644
--- a/docs/_sources/how_to/optimize_operators/opt_conv_tensorcore.rst.txt
+++ b/docs/_sources/how_to/optimize_operators/opt_conv_tensorcore.rst.txt
@@ -598,7 +598,7 @@ be able to run on our build server
.. code-block:: none
- conv2d with tensor core: 12.222675 ms
+ conv2d with tensor core: 11.471127 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 8fbc032b79..705b39e27f 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: 0.020132
- Baseline: 3.561228
+ Numpy running time: 0.018266
+ Baseline: 3.279227
@@ -227,7 +227,7 @@ fill 32 * 32 * sizeof(float) which is 4KB in the cache whose total size is 32KB
.. code-block:: none
- Opt1: 0.325028
+ Opt1: 0.287681
@@ -318,7 +318,7 @@ In this tutorial, we chose to vectorize the inner loop row data since it is cach
.. code-block:: none
- Opt2: 0.321507
+ Opt2: 0.273230
@@ -406,7 +406,7 @@ the access pattern for A matrix is more cache friendly.
.. code-block:: none
- Opt3: 0.138312
+ Opt3: 0.116967
@@ -523,7 +523,7 @@ flattening.
.. code-block:: none
- Opt4: 0.108651
+ Opt4: 0.107285
@@ -635,7 +635,7 @@ write to C when all the block results are ready.
.. code-block:: none
- Opt5: 0.114245
+ Opt5: 0.112015
@@ -748,7 +748,7 @@ Furthermore, we can also utilize multi-core processors to do the thread-level pa
.. code-block:: none
- Opt6: 0.136407
+ Opt6: 0.134017
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 f9949a83e5..7424593314 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
@@ -6,7 +6,7 @@
Computation times
=================
-**00:36.947** total execution time for 3 files **from how_to/optimize_operators**:
+**00:33.597** total execution time for 3 files **from how_to/optimize_operators**:
.. container::
@@ -33,11 +33,11 @@ Computation times
- Time
- Mem (MB)
* - :ref:`sphx_glr_how_to_optimize_operators_opt_gemm.py` (``opt_gemm.py``)
- - 00:33.693
+ - 00:30.389
- 0.0
* - :ref:`sphx_glr_how_to_optimize_operators_opt_conv_tensorcore.py` (``opt_conv_tensorcore.py``)
- - 00:02.043
+ - 00:02.029
- 0.0
* - :ref:`sphx_glr_how_to_optimize_operators_opt_conv_cuda.py` (``opt_conv_cuda.py``)
- - 00:01.211
+ - 00:01.178
- 0.0
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 75b31dfda8..3b201e1449 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
@@ -6,7 +6,7 @@
Computation times
=================
-**04:09.845** total execution time for 6 files **from how_to/tune_with_autoscheduler**:
+**03:49.737** total execution time for 6 files **from how_to/tune_with_autoscheduler**:
.. container::
@@ -33,20 +33,20 @@ Computation times
- Time
- Mem (MB)
* - :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_x86.py` (``tune_network_x86.py``)
- - 01:50.828
+ - 01:39.201
- 0.0
* - :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_cuda.py` (``tune_network_cuda.py``)
- - 01:18.567
+ - 01:15.539
- 0.0
* - :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_arm.py` (``tune_network_arm.py``)
- - 00:22.988
+ - 00:21.468
- 0.0
* - :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_mali.py` (``tune_network_mali.py``)
- - 00:22.309
+ - 00:18.476
- 0.0
* - :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_conv2d_layer_cuda.py` (``tune_conv2d_layer_cuda.py``)
- - 00:15.041
+ - 00:14.953
- 0.0
* - :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_sparse_x86.py` (``tune_sparse_x86.py``)
- - 00:00.111
+ - 00:00.101
- 0.0
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 079845fba9..82cad76ab2 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: 0.333 ms
+ Execution time of this operator: 0.340 ms
diff --git a/docs/_sources/how_to/tune_with_autoscheduler/tune_network_cuda.rst.txt b/docs/_sources/how_to/tune_with_autoscheduler/tune_network_cuda.rst.txt
index 2e208fed78..e2eebe1105 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
@@ -632,7 +632,7 @@ 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)
- 3.2050 3.2051 3.2053 3.2046 0.0003
+ 3.2015 3.1937 3.2174 3.1936 0.0112
@@ -659,7 +659,7 @@ Other Tips
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** (1 minutes 18.567 seconds)
+ **Total running time of the script:** (1 minutes 15.539 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 75a5b53c5d..569d98a2c4 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
@@ -654,7 +654,7 @@ 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)
- 816.5139 809.0708 832.1539 808.3170 11.0635
+ 764.7796 764.9953 766.6462 762.6972 1.6194
@@ -681,7 +681,7 @@ Other Tips
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** (1 minutes 50.828 seconds)
+ **Total running time of the script:** (1 minutes 39.201 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 148c0d94d2..865122f56d 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
@@ -6,7 +6,7 @@
Computation times
=================
-**00:23.116** total execution time for 5 files **from how_to/tune_with_autotvm**:
+**00:23.022** total execution time for 5 files **from how_to/tune_with_autotvm**:
.. container::
@@ -33,10 +33,10 @@ Computation times
- Time
- Mem (MB)
* - :ref:`sphx_glr_how_to_tune_with_autotvm_tune_conv2d_cuda.py` (``tune_conv2d_cuda.py``)
- - 00:23.079
+ - 00:22.988
- 0.0
* - :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_x86.py` (``tune_relay_x86.py``)
- - 00:00.023
+ - 00:00.020
- 0.0
* - :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_arm.py` (``tune_relay_arm.py``)
- 00:00.005
@@ -45,5 +45,5 @@ Computation times
- 00:00.005
- 0.0
* - :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_cuda.py` (``tune_relay_cuda.py``)
- - 00:00.005
+ - 00:00.004
- 0.0
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 aa21e206e1..f3f9e97786 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: 0.037321
+ Time cost of this operator: 0.036960
diff --git a/docs/_sources/how_to/tutorials/cross_compilation_and_rpc.rst.txt b/docs/_sources/how_to/tutorials/cross_compilation_and_rpc.rst.txt
index a56ec2feae..7208328337 100644
--- a/docs/_sources/how_to/tutorials/cross_compilation_and_rpc.rst.txt
+++ b/docs/_sources/how_to/tutorials/cross_compilation_and_rpc.rst.txt
@@ -274,7 +274,7 @@ device and returns the measured cost. Network overhead is excluded.
.. code-block:: none
- 1.484e-07 secs/op
+ 1.888e-07 secs/op
diff --git a/docs/_sources/how_to/tutorials/optimize_llm.rst.txt b/docs/_sources/how_to/tutorials/optimize_llm.rst.txt
index 250aaa9400..7c5280ea0d 100644
--- a/docs/_sources/how_to/tutorials/optimize_llm.rst.txt
+++ b/docs/_sources/how_to/tutorials/optimize_llm.rst.txt
@@ -858,7 +858,7 @@ IRModule to generate the token.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** (2 minutes 37.541 seconds)
+ **Total running time of the script:** (1 minutes 20.942 seconds)
.. _sphx_glr_download_how_to_tutorials_optimize_llm.py:
diff --git a/docs/_sources/how_to/tutorials/sg_execution_times.rst.txt b/docs/_sources/how_to/tutorials/sg_execution_times.rst.txt
index aba91df295..52f4dc8fc3 100644
--- a/docs/_sources/how_to/tutorials/sg_execution_times.rst.txt
+++ b/docs/_sources/how_to/tutorials/sg_execution_times.rst.txt
@@ -6,7 +6,7 @@
Computation times
=================
-**02:42.698** total execution time for 4 files **from how_to/tutorials**:
+**01:25.231** total execution time for 4 files **from how_to/tutorials**:
.. container::
@@ -33,14 +33,14 @@ Computation times
- Time
- Mem (MB)
* - :ref:`sphx_glr_how_to_tutorials_optimize_llm.py` (``optimize_llm.py``)
- - 02:37.541
+ - 01:20.942
- 0.0
* - :ref:`sphx_glr_how_to_tutorials_e2e_opt_model.py` (``e2e_opt_model.py``)
- - 00:03.018
- - 0.0
- * - :ref:`sphx_glr_how_to_tutorials_cross_compilation_and_rpc.py` (``cross_compilation_and_rpc.py``)
- - 00:01.088
+ - 00:02.667
- 0.0
* - :ref:`sphx_glr_how_to_tutorials_customize_opt.py` (``customize_opt.py``)
- - 00:01.051
+ - 00:00.847
+ - 0.0
+ * - :ref:`sphx_glr_how_to_tutorials_cross_compilation_and_rpc.py` (``cross_compilation_and_rpc.py``)
+ - 00:00.774
- 0.0
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 81a5265027..f732a8db49 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 308.3 98.676 (1, 2, 10, 10, 3) 2 1 [308.3]
- tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 3.146 1.007 (1, 6, 10, 10) 1 1 [3.146]
- tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.991 0.317 (1, 1, 10, 10, 3) 1 1 [0.991]
- Total_time - 312.436 - - - - -
+ tvmgen_default_fused_nn_contrib_conv2d_NCHWc tvmgen_default_fused_nn_contrib_conv2d_NCHWc 302.7 98.737 (1, 2, 10, 10, 3) 2 1 [302.7]
+ tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 2.907 0.948 (1, 6, 10, 10) 1 1 [2.907]
+ tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.964 0.314 (1, 1, 10, 10, 3) 1 1 [0.964]
+ Total_time - 306.571 - - - - -
@@ -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 103.2 97.506 (1, 6, 10, 10, 1) 2 1 [103.2]
- tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 1.785 1.687 (1, 6, 10, 10) 1 1 [1.785]
- tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.855 0.807 (1, 3, 10, 10, 1) 1 1 [0.855]
- Total_time - 105.84 - - - - -
+ tvmgen_default_fused_nn_contrib_conv2d_NCHWc tvmgen_default_fused_nn_contrib_conv2d_NCHWc 135.6 98.0 (1, 6, 10, 10, 1) 2 1 [135.6]
+ tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 1.812 1.31 (1, 6, 10, 10) 1 1 [1.812]
+ tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.955 0.69 (1, 1, 10, 10, 3) 1 1 [0.955]
+ Total_time - 138.368 - - - - -
@@ -439,7 +439,7 @@ Timing the tuned program
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** (1 minutes 40.831 seconds)
+ **Total running time of the script:** (1 minutes 28.738 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 80bb9315c7..c9064cc819 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-py3.9/lib/python3.9/site-packages/torch/ao/quantization/utils.py:376: UserWarning: must run observer before calling calculate_qparams. Returning default values.
warnings.warn(
Downloading: "https://download.pytorch.org/models/quantized/mobilenet_v2_qnnpack_37f702c5.pth" to /workspace/.cache/torch/hub/checkpoints/mobilenet_v2_qnnpack_37f702c5.pth
- 0%| | 0.00/3.42M [00:00<?, ?B/s] 100%|██████████| 3.42M/3.42M [00:00<00:00, 55.0MB/s]
+ 0%| | 0.00/3.42M [00:00<?, ?B/s] 100%|██████████| 3.42M/3.42M [00:00<00:00, 81.2MB/s]
@@ -320,7 +320,7 @@ Look up prediction top 1 index in 1000 class synset.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** (1 minutes 46.172 seconds)
+ **Total running time of the script:** (1 minutes 34.071 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 fe5f628e6c..ee49995287 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
@@ -218,7 +218,7 @@ take about **2 minutes** to download the Stanford Cars, while COCO 2017 validati
.. code-block:: none
- '/tmp/tmp7rv4p5iq/images/random'
+ '/tmp/tmpytdp6g02/images/random'
@@ -318,8 +318,8 @@ objects to other stuff? We can display some examples from our datasets using ``m
.. code-block:: none
- /tmp/tmp7rv4p5iq/images/target contains 8144 images
- /tmp/tmp7rv4p5iq/images/random contains 5000 images
+ /tmp/tmpytdp6g02/images/target contains 8144 images
+ /tmp/tmpytdp6g02/images/random contains 5000 images
@@ -494,13 +494,13 @@ the time on our validation set).
.. code-block:: none
Epoch 1/3
- 328/328 - 50s - loss: 0.2263 - accuracy: 0.9216 - val_loss: 0.1879 - val_accuracy: 0.9264 - 50s/epoch - 153ms/step
+ 328/328 - 47s - loss: 0.2569 - accuracy: 0.9152 - val_loss: 0.1125 - val_accuracy: 0.9607 - 47s/epoch - 144ms/step
Epoch 2/3
- 328/328 - 46s - loss: 0.1067 - accuracy: 0.9610 - val_loss: 0.0901 - val_accuracy: 0.9675 - 46s/epoch - 141ms/step
+ 328/328 - 44s - loss: 0.1058 - accuracy: 0.9608 - val_loss: 0.0984 - val_accuracy: 0.9645 - 44s/epoch - 135ms/step
Epoch 3/3
- 328/328 - 47s - loss: 0.0713 - accuracy: 0.9728 - val_loss: 0.0927 - val_accuracy: 0.9690 - 47s/epoch - 143ms/step
+ 328/328 - 44s - loss: 0.0678 - accuracy: 0.9750 - val_loss: 0.1027 - val_accuracy: 0.9668 - 44s/epoch - 134ms/step
- <keras.callbacks.History object at 0x7f4bd889b580>
+ <keras.callbacks.History object at 0x7fcec5398c10>
@@ -861,7 +861,7 @@ 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 57.988 seconds)
+ **Total running time of the script:** (4 minutes 57.964 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 b0fe55fd87..5b81c169b7 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
@@ -6,7 +6,7 @@
Computation times
=================
-**09:01.720** total execution time for 9 files **from how_to/work_with_microtvm**:
+**08:32.446** total execution time for 9 files **from how_to/work_with_microtvm**:
.. container::
@@ -33,22 +33,22 @@ Computation times
- Time
- Mem (MB)
* - :ref:`sphx_glr_how_to_work_with_microtvm_micro_train.py` (``micro_train.py``)
- - 04:57.988
+ - 04:57.964
- 0.0
* - :ref:`sphx_glr_how_to_work_with_microtvm_micro_pytorch.py` (``micro_pytorch.py``)
- - 01:46.172
+ - 01:34.071
- 0.0
* - :ref:`sphx_glr_how_to_work_with_microtvm_micro_autotune.py` (``micro_autotune.py``)
- - 01:40.831
+ - 01:28.738
- 0.0
* - :ref:`sphx_glr_how_to_work_with_microtvm_micro_aot.py` (``micro_aot.py``)
- - 00:14.386
+ - 00:12.530
- 0.0
* - :ref:`sphx_glr_how_to_work_with_microtvm_micro_custom_ide.py` (``micro_custom_ide.py``)
- - 00:12.820
+ - 00:10.956
- 0.0
* - :ref:`sphx_glr_how_to_work_with_microtvm_micro_tflite.py` (``micro_tflite.py``)
- - 00:09.523
+ - 00:08.186
- 0.0
* - :ref:`sphx_glr_how_to_work_with_microtvm_micro_ethosu.py` (``micro_ethosu.py``)
- 00:00.000
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 43bd25d575..3220d09011 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
@@ -6,7 +6,7 @@
Computation times
=================
-**00:43.179** total execution time for 4 files **from how_to/work_with_relay**:
+**00:40.879** total execution time for 4 files **from how_to/work_with_relay**:
.. container::
@@ -33,14 +33,14 @@ Computation times
- Time
- Mem (MB)
* - :ref:`sphx_glr_how_to_work_with_relay_using_pipeline_executor.py` (``using_pipeline_executor.py``)
- - 00:36.910
+ - 00:34.941
- 0.0
* - :ref:`sphx_glr_how_to_work_with_relay_using_external_lib.py` (``using_external_lib.py``)
- - 00:04.011
+ - 00:03.839
- 0.0
* - :ref:`sphx_glr_how_to_work_with_relay_build_gcn.py` (``build_gcn.py``)
- - 00:02.252
+ - 00:02.093
- 0.0
* - :ref:`sphx_glr_how_to_work_with_relay_using_relay_viz.py` (``using_relay_viz.py``)
- - 00:00.007
+ - 00:00.005
- 0.0
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 699c161ff1..00527571a1 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
@@ -6,7 +6,7 @@
Computation times
=================
-**00:03.295** total execution time for 7 files **from how_to/work_with_schedules**:
+**00:03.113** total execution time for 7 files **from how_to/work_with_schedules**:
.. container::
@@ -33,23 +33,23 @@ Computation times
- Time
- Mem (MB)
* - :ref:`sphx_glr_how_to_work_with_schedules_tensorize.py` (``tensorize.py``)
- - 00:01.445
+ - 00:01.428
- 0.0
* - :ref:`sphx_glr_how_to_work_with_schedules_reduction.py` (``reduction.py``)
- - 00:00.765
+ - 00:00.698
- 0.0
* - :ref:`sphx_glr_how_to_work_with_schedules_scan.py` (``scan.py``)
- - 00:00.748
+ - 00:00.689
- 0.0
* - :ref:`sphx_glr_how_to_work_with_schedules_extern_op.py` (``extern_op.py``)
- - 00:00.145
+ - 00:00.134
- 0.0
* - :ref:`sphx_glr_how_to_work_with_schedules_schedule_primitives.py` (``schedule_primitives.py``)
- - 00:00.082
+ - 00:00.069
- 0.0
* - :ref:`sphx_glr_how_to_work_with_schedules_tedd.py` (``tedd.py``)
- - 00:00.074
+ - 00:00.064
- 0.0
* - :ref:`sphx_glr_how_to_work_with_schedules_tuple_inputs.py` (``tuple_inputs.py``)
- - 00:00.036
+ - 00:00.032
- 0.0
diff --git a/docs/_sources/sg_execution_times.rst.txt b/docs/_sources/sg_execution_times.rst.txt
index e8fd2682de..8b606c50d7 100644
--- a/docs/_sources/sg_execution_times.rst.txt
+++ b/docs/_sources/sg_execution_times.rst.txt
@@ -6,7 +6,7 @@
Computation times
=================
-**57:08.769** total execution time for 75 files **from all galleries**:
+**49:20.729** total execution time for 75 files **from all galleries**:
.. container::
@@ -33,199 +33,199 @@ Computation times
- Time
- Mem (MB)
* - :ref:`sphx_glr_tutorial_autotvm_relay_x86.py` (``../../gallery/tutorial/autotvm_relay_x86.py``)
- - 15:38.839
+ - 13:23.957
- 0.0
* - :ref:`sphx_glr_how_to_work_with_microtvm_micro_train.py` (``../../gallery/how_to/work_with_microtvm/micro_train.py``)
- - 04:57.988
+ - 04:57.964
- 0.0
* - :ref:`sphx_glr_how_to_deploy_models_deploy_object_detection_pytorch.py` (``../../gallery/how_to/deploy_models/deploy_object_detection_pytorch.py``)
- - 04:37.081
+ - 03:36.097
- 0.0
- * - :ref:`sphx_glr_how_to_tutorials_optimize_llm.py` (``../how_to/tutorials/optimize_llm.py``)
- - 02:37.541
- - 0.0
- * - :ref:`sphx_glr_tutorial_auto_scheduler_matmul_x86.py` (``../../gallery/tutorial/auto_scheduler_matmul_x86.py``)
- - 02:04.726
- - 0.0
- * - :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized.py` (``../../gallery/how_to/deploy_models/deploy_prequantized.py``)
- - 01:52.686
+ * - :ref:`sphx_glr_how_to_compile_models_from_darknet.py` (``../../gallery/how_to/compile_models/from_darknet.py``)
+ - 01:39.210
- 0.0
* - :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_x86.py` (``../../gallery/how_to/tune_with_autoscheduler/tune_network_x86.py``)
- - 01:50.828
+ - 01:39.201
- 0.0
* - :ref:`sphx_glr_how_to_compile_models_from_tensorflow.py` (``../../gallery/how_to/compile_models/from_tensorflow.py``)
- - 01:46.340
+ - 01:36.387
+ - 0.0
+ * - :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized.py` (``../../gallery/how_to/deploy_models/deploy_prequantized.py``)
+ - 01:36.118
- 0.0
* - :ref:`sphx_glr_how_to_work_with_microtvm_micro_pytorch.py` (``../../gallery/how_to/work_with_microtvm/micro_pytorch.py``)
- - 01:46.172
+ - 01:34.071
- 0.0
- * - :ref:`sphx_glr_how_to_compile_models_from_darknet.py` (``../../gallery/how_to/compile_models/from_darknet.py``)
- - 01:44.860
+ * - :ref:`sphx_glr_tutorial_auto_scheduler_matmul_x86.py` (``../../gallery/tutorial/auto_scheduler_matmul_x86.py``)
+ - 01:29.098
- 0.0
* - :ref:`sphx_glr_how_to_work_with_microtvm_micro_autotune.py` (``../../gallery/how_to/work_with_microtvm/micro_autotune.py``)
- - 01:40.831
+ - 01:28.738
+ - 0.0
+ * - :ref:`sphx_glr_how_to_tutorials_optimize_llm.py` (``../how_to/tutorials/optimize_llm.py``)
+ - 01:20.942
- 0.0
* - :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_adreno.py` (``../../gallery/how_to/deploy_models/deploy_model_on_adreno.py``)
- - 01:25.280
+ - 01:19.486
- 0.0
* - :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_cuda.py` (``../../gallery/how_to/tune_with_autoscheduler/tune_network_cuda.py``)
- - 01:18.567
- - 0.0
- * - :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_adreno_tvmc.py` (``../../gallery/how_to/deploy_models/deploy_model_on_adreno_tvmc.py``)
- - 01:14.549
+ - 01:15.539
- 0.0
* - :ref:`sphx_glr_how_to_compile_models_from_paddle.py` (``../../gallery/how_to/compile_models/from_paddle.py``)
- - 01:13.707
+ - 01:06.833
- 0.0
- * - :ref:`sphx_glr_tutorial_tensor_expr_get_started.py` (``../../gallery/tutorial/tensor_expr_get_started.py``)
- - 01:13.548
+ * - :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_adreno_tvmc.py` (``../../gallery/how_to/deploy_models/deploy_model_on_adreno_tvmc.py``)
+ - 01:03.927
- 0.0
- * - :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_android.py` (``../../gallery/how_to/deploy_models/deploy_model_on_android.py``)
- - 01:02.676
+ * - :ref:`sphx_glr_tutorial_tensor_expr_get_started.py` (``../../gallery/tutorial/tensor_expr_get_started.py``)
+ - 00:57.888
- 0.0
* - :ref:`sphx_glr_how_to_deploy_models_deploy_prequantized_tflite.py` (``../../gallery/how_to/deploy_models/deploy_prequantized_tflite.py``)
- - 00:58.365
+ - 00:54.256
+ - 0.0
+ * - :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_android.py` (``../../gallery/how_to/deploy_models/deploy_model_on_android.py``)
+ - 00:54.107
- 0.0
* - :ref:`sphx_glr_tutorial_relay_quick_start.py` (``../../gallery/tutorial/relay_quick_start.py``)
- - 00:48.395
+ - 00:44.263
- 0.0
* - :ref:`sphx_glr_how_to_compile_models_from_coreml.py` (``../../gallery/how_to/compile_models/from_coreml.py``)
- - 00:47.238
+ - 00:41.074
- 0.0
* - :ref:`sphx_glr_how_to_work_with_relay_using_pipeline_executor.py` (``../../gallery/how_to/work_with_relay/using_pipeline_executor.py``)
- - 00:36.910
+ - 00:34.941
- 0.0
* - :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_nano.py` (``../../gallery/how_to/deploy_models/deploy_model_on_nano.py``)
- - 00:35.292
+ - 00:30.989
- 0.0
* - :ref:`sphx_glr_how_to_deploy_models_deploy_model_on_rasp.py` (``../../gallery/how_to/deploy_models/deploy_model_on_rasp.py``)
- - 00:34.953
+ - 00:30.736
- 0.0
* - :ref:`sphx_glr_how_to_optimize_operators_opt_gemm.py` (``../../gallery/how_to/optimize_operators/opt_gemm.py``)
- - 00:33.693
+ - 00:30.389
- 0.0
* - :ref:`sphx_glr_how_to_compile_models_from_pytorch.py` (``../../gallery/how_to/compile_models/from_pytorch.py``)
- - 00:32.273
+ - 00:29.254
+ - 0.0
+ * - :ref:`sphx_glr_tutorial_autotvm_matmul_x86.py` (``../../gallery/tutorial/autotvm_matmul_x86.py``)
+ - 00:27.186
- 0.0
* - :ref:`sphx_glr_how_to_compile_models_from_keras.py` (``../../gallery/how_to/compile_models/from_keras.py``)
- - 00:30.347
+ - 00:26.886
- 0.0
* - :ref:`sphx_glr_how_to_tune_with_autotvm_tune_conv2d_cuda.py` (``../../gallery/how_to/tune_with_autotvm/tune_conv2d_cuda.py``)
- - 00:23.079
+ - 00:22.988
- 0.0
* - :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_arm.py` (``../../gallery/how_to/tune_with_autoscheduler/tune_network_arm.py``)
- - 00:22.988
+ - 00:21.468
- 0.0
* - :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_network_mali.py` (``../../gallery/how_to/tune_with_autoscheduler/tune_network_mali.py``)
- - 00:22.309
- - 0.0
- * - :ref:`sphx_glr_tutorial_autotvm_matmul_x86.py` (``../../gallery/tutorial/autotvm_matmul_x86.py``)
- - 00:19.135
+ - 00:18.476
- 0.0
* - :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_conv2d_layer_cuda.py` (``../../gallery/how_to/tune_with_autoscheduler/tune_conv2d_layer_cuda.py``)
- - 00:15.041
+ - 00:14.953
- 0.0
* - :ref:`sphx_glr_how_to_work_with_microtvm_micro_aot.py` (``../../gallery/how_to/work_with_microtvm/micro_aot.py``)
- - 00:14.386
- - 0.0
- * - :ref:`sphx_glr_how_to_work_with_microtvm_micro_custom_ide.py` (``../../gallery/how_to/work_with_microtvm/micro_custom_ide.py``)
- - 00:12.820
+ - 00:12.530
- 0.0
* - :ref:`sphx_glr_how_to_compile_models_from_tflite.py` (``../../gallery/how_to/compile_models/from_tflite.py``)
- - 00:12.541
+ - 00:11.920
+ - 0.0
+ * - :ref:`sphx_glr_how_to_work_with_microtvm_micro_custom_ide.py` (``../../gallery/how_to/work_with_microtvm/micro_custom_ide.py``)
+ - 00:10.956
- 0.0
* - :ref:`sphx_glr_how_to_work_with_microtvm_micro_tflite.py` (``../../gallery/how_to/work_with_microtvm/micro_tflite.py``)
- - 00:09.523
+ - 00:08.186
- 0.0
* - :ref:`sphx_glr_how_to_work_with_relay_using_external_lib.py` (``../../gallery/how_to/work_with_relay/using_external_lib.py``)
- - 00:04.011
+ - 00:03.839
- 0.0
* - :ref:`sphx_glr_how_to_extend_tvm_use_pass_instrument.py` (``../../gallery/how_to/extend_tvm/use_pass_instrument.py``)
- - 00:03.715
+ - 00:03.010
- 0.0
* - :ref:`sphx_glr_how_to_compile_models_from_onnx.py` (``../../gallery/how_to/compile_models/from_onnx.py``)
- - 00:03.161
+ - 00:02.815
- 0.0
* - :ref:`sphx_glr_how_to_tutorials_e2e_opt_model.py` (``../how_to/tutorials/e2e_opt_model.py``)
- - 00:03.018
+ - 00:02.667
- 0.0
* - :ref:`sphx_glr_get_started_tutorials_ir_module.py` (``../get_started/tutorials/ir_module.py``)
- - 00:02.979
+ - 00:02.453
- 0.0
* - :ref:`sphx_glr_how_to_work_with_relay_build_gcn.py` (``../../gallery/how_to/work_with_relay/build_gcn.py``)
- - 00:02.252
+ - 00:02.093
- 0.0
* - :ref:`sphx_glr_how_to_optimize_operators_opt_conv_tensorcore.py` (``../../gallery/how_to/optimize_operators/opt_conv_tensorcore.py``)
- - 00:02.043
+ - 00:02.029
- 0.0
- * - :ref:`sphx_glr_how_to_extend_tvm_use_pass_infra.py` (``../../gallery/how_to/extend_tvm/use_pass_infra.py``)
- - 00:01.585
+ * - :ref:`sphx_glr_how_to_work_with_schedules_tensorize.py` (``../../gallery/how_to/work_with_schedules/tensorize.py``)
+ - 00:01.428
- 0.0
* - :ref:`sphx_glr_tutorial_tensor_ir_blitz_course.py` (``../../gallery/tutorial/tensor_ir_blitz_course.py``)
- - 00:01.500
+ - 00:01.385
- 0.0
- * - :ref:`sphx_glr_how_to_work_with_schedules_tensorize.py` (``../../gallery/how_to/work_with_schedules/tensorize.py``)
- - 00:01.445
+ * - :ref:`sphx_glr_how_to_extend_tvm_use_pass_infra.py` (``../../gallery/how_to/extend_tvm/use_pass_infra.py``)
+ - 00:01.347
- 0.0
* - :ref:`sphx_glr_how_to_optimize_operators_opt_conv_cuda.py` (``../../gallery/how_to/optimize_operators/opt_conv_cuda.py``)
- - 00:01.211
+ - 00:01.178
- 0.0
- * - :ref:`sphx_glr_how_to_tutorials_cross_compilation_and_rpc.py` (``../how_to/tutorials/cross_compilation_and_rpc.py``)
- - 00:01.088
+ * - :ref:`sphx_glr_tutorial_intro_topi.py` (``../../gallery/tutorial/intro_topi.py``)
+ - 00:00.862
- 0.0
* - :ref:`sphx_glr_how_to_tutorials_customize_opt.py` (``../how_to/tutorials/customize_opt.py``)
- - 00:01.051
+ - 00:00.847
- 0.0
- * - :ref:`sphx_glr_tutorial_intro_topi.py` (``../../gallery/tutorial/intro_topi.py``)
- - 00:00.941
+ * - :ref:`sphx_glr_how_to_tutorials_cross_compilation_and_rpc.py` (``../how_to/tutorials/cross_compilation_and_rpc.py``)
+ - 00:00.774
- 0.0
* - :ref:`sphx_glr_how_to_work_with_schedules_reduction.py` (``../../gallery/how_to/work_with_schedules/reduction.py``)
- - 00:00.765
+ - 00:00.698
- 0.0
* - :ref:`sphx_glr_how_to_work_with_schedules_scan.py` (``../../gallery/how_to/work_with_schedules/scan.py``)
- - 00:00.748
+ - 00:00.689
- 0.0
* - :ref:`sphx_glr_deep_dive_tensor_ir_tutorials_tir_transformation.py` (``../deep_dive/tensor_ir/tutorials/tir_transformation.py``)
- - 00:00.364
+ - 00:00.370
- 0.0
* - :ref:`sphx_glr_deep_dive_tensor_ir_tutorials_tir_creation.py` (``../deep_dive/tensor_ir/tutorials/tir_creation.py``)
- - 00:00.291
+ - 00:00.278
- 0.0
* - :ref:`sphx_glr_get_started_tutorials_quick_start.py` (``../get_started/tutorials/quick_start.py``)
- - 00:00.283
+ - 00:00.221
- 0.0
* - :ref:`sphx_glr_deep_dive_relax_tutorials_relax_creation.py` (``../deep_dive/relax/tutorials/relax_creation.py``)
- - 00:00.214
+ - 00:00.189
- 0.0
* - :ref:`sphx_glr_how_to_work_with_schedules_extern_op.py` (``../../gallery/how_to/work_with_schedules/extern_op.py``)
- - 00:00.145
+ - 00:00.134
- 0.0
* - :ref:`sphx_glr_how_to_tune_with_autoscheduler_tune_sparse_x86.py` (``../../gallery/how_to/tune_with_autoscheduler/tune_sparse_x86.py``)
- - 00:00.111
+ - 00:00.101
- 0.0
* - :ref:`sphx_glr_deep_dive_relax_tutorials_relax_transformation.py` (``../deep_dive/relax/tutorials/relax_transformation.py``)
- - 00:00.091
+ - 00:00.089
- 0.0
* - :ref:`sphx_glr_how_to_work_with_schedules_schedule_primitives.py` (``../../gallery/how_to/work_with_schedules/schedule_primitives.py``)
- - 00:00.082
+ - 00:00.069
- 0.0
* - :ref:`sphx_glr_how_to_work_with_schedules_tedd.py` (``../../gallery/how_to/work_with_schedules/tedd.py``)
- - 00:00.074
+ - 00:00.064
- 0.0
* - :ref:`sphx_glr_how_to_work_with_schedules_tuple_inputs.py` (``../../gallery/how_to/work_with_schedules/tuple_inputs.py``)
- - 00:00.036
+ - 00:00.032
- 0.0
* - :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_x86.py` (``../../gallery/how_to/tune_with_autotvm/tune_relay_x86.py``)
- - 00:00.023
+ - 00:00.020
- 0.0
* - :ref:`sphx_glr_how_to_extend_tvm_low_level_custom_pass.py` (``../../gallery/how_to/extend_tvm/low_level_custom_pass.py``)
- - 00:00.009
+ - 00:00.007
- 0.0
* - :ref:`sphx_glr_how_to_deploy_models_deploy_sparse.py` (``../../gallery/how_to/deploy_models/deploy_sparse.py``)
- - 00:00.007
+ - 00:00.006
- 0.0
* - :ref:`sphx_glr_how_to_work_with_relay_using_relay_viz.py` (``../../gallery/how_to/work_with_relay/using_relay_viz.py``)
- - 00:00.007
+ - 00:00.005
- 0.0
* - :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_arm.py` (``../../gallery/how_to/tune_with_autotvm/tune_relay_arm.py``)
- 00:00.005
@@ -234,24 +234,24 @@ Computation times
- 00:00.005
- 0.0
* - :ref:`sphx_glr_how_to_tune_with_autotvm_tune_relay_cuda.py` (``../../gallery/how_to/tune_with_autotvm/tune_relay_cuda.py``)
- - 00:00.005
+ - 00:00.004
- 0.0
- * - :ref:`sphx_glr_tutorial_introduction.py` (``../../gallery/tutorial/introduction.py``)
+ * - :ref:`sphx_glr_tutorial_uma.py` (``../../gallery/tutorial/uma.py``)
- 00:00.000
- 0.0
* - :ref:`sphx_glr_how_to_work_with_microtvm_micro_ethosu.py` (``../../gallery/how_to/work_with_microtvm/micro_ethosu.py``)
- 00:00.000
- 0.0
- * - :ref:`sphx_glr_tutorial_tvmc_python.py` (``../../gallery/tutorial/tvmc_python.py``)
+ * - :ref:`sphx_glr_tutorial_tvmc_command_line_driver.py` (``../../gallery/tutorial/tvmc_command_line_driver.py``)
- 00:00.000
- 0.0
- * - :ref:`sphx_glr_tutorial_uma.py` (``../../gallery/tutorial/uma.py``)
+ * - :ref:`sphx_glr_how_to_work_with_microtvm_micro_tvmc.py` (``../../gallery/how_to/work_with_microtvm/micro_tvmc.py``)
- 00:00.000
- 0.0
- * - :ref:`sphx_glr_tutorial_tvmc_command_line_driver.py` (``../../gallery/tutorial/tvmc_command_line_driver.py``)
+ * - :ref:`sphx_glr_tutorial_tvmc_python.py` (``../../gallery/tutorial/tvmc_python.py``)
- 00:00.000
- 0.0
- * - :ref:`sphx_glr_how_to_work_with_microtvm_micro_tvmc.py` (``../../gallery/how_to/work_with_microtvm/micro_tvmc.py``)
+ * - :ref:`sphx_glr_tutorial_introduction.py` (``../../gallery/tutorial/introduction.py``)
- 00:00.000
- 0.0
* - :ref:`sphx_glr_how_to_work_with_microtvm_micro_mlperftiny.py` (``../../gallery/how_to/work_with_microtvm/micro_mlperftiny.py``)
diff --git a/docs/_sources/tutorial/auto_scheduler_matmul_x86.rst.txt b/docs/_sources/tutorial/auto_scheduler_matmul_x86.rst.txt
index 8bf6fcbba7..e3fa173002 100644
--- a/docs/_sources/tutorial/auto_scheduler_matmul_x86.rst.txt
+++ b/docs/_sources/tutorial/auto_scheduler_matmul_x86.rst.txt
@@ -318,7 +318,7 @@ We build the binary and check its correctness and performance.
.. code-block:: none
- Execution time of this operator: 98.530 ms
+ Execution time of this operator: 91.560 ms
@@ -416,7 +416,7 @@ resume the status and do more 5 trials.
.. code-block:: none
Resume search:
- *E
+
@@ -434,7 +434,7 @@ operations.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** (2 minutes 4.726 seconds)
+ **Total running time of the script:** (1 minutes 29.098 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 299b83adf9..2a8f835709 100644
--- a/docs/_sources/tutorial/autotvm_matmul_x86.rst.txt
+++ b/docs/_sources/tutorial/autotvm_matmul_x86.rst.txt
@@ -454,16 +454,16 @@ reduce variance, we take 5 measurements and average them.
waiting for device...
device available
Get devices for measurement successfully!
- No: 1 GFLOPS: 10.95/10.95 result: MeasureResult(costs=(0.0245119516,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.8840832710266113, timestamp=1732589428.7698903) [('tile_y', [-1, 16]), ('tile_x', [-1, 256])],None,84
- No: 2 GFLOPS: 10.07/10.95 result: MeasureResult(costs=(0.026645933000000004,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.8863484859466553, timestamp=1732589429.4783053) [('tile_y', [-1, 2]), ('tile_x', [-1, 512])],None,91
- No: 3 GFLOPS: 10.37/10.95 result: MeasureResult(costs=(0.025885849,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.957975149154663, timestamp=1732589430.167935) [('tile_y', [-1, 8]), ('tile_x', [-1, 64])],None,63
- No: 4 GFLOPS: 2.00/10.95 result: MeasureResult(costs=(0.1341405024,), error_no=MeasureErrorNo.NO_ERROR, all_cost=3.621044635772705, timestamp=1732589432.5852168) [('tile_y', [-1, 64]), ('tile_x', [-1, 4])],None,26
- No: 5 GFLOPS: 7.79/10.95 result: MeasureResult(costs=(0.0344403188,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.8635382652282715, timestamp=1732589433.5728538) [('tile_y', [-1, 4]), ('tile_x', [-1, 4])],None,22
- No: 6 GFLOPS: 2.02/10.95 result: MeasureResult(costs=(0.1327121472,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.4379401206970215, timestamp=1732589435.9727085) [('tile_y', [-1, 256]), ('tile_x', [-1, 4])],None,28
- No: 7 GFLOPS: 7.26/10.95 result: MeasureResult(costs=(0.0369682752,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.9007365703582764, timestamp=1732589436.838889) [('tile_y', [-1, 512]), ('tile_x', [-1, 16])],None,49
- No: 8 GFLOPS: 9.68/10.95 result: MeasureResult(costs=(0.027742440199999996,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7486660480499268, timestamp=1732589437.5546844) [('tile_y', [-1, 2]), ('tile_x', [-1, 8])],None,31
- No: 9 GFLOPS: 9.53/10.95 result: MeasureResult(costs=(0.0281780404,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.8649082183837891, timestamp=1732589438.5314975) [('tile_y', [-1, 2]), ('tile_x', [-1, 128])],None,71
- No: 10 GFLOPS: 12.24/12.24 result: MeasureResult(costs=(0.0219269224,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6491384506225586, timestamp=1732589439.1639242) [('tile_y', [-1, 32]), ('tile_x', [-1, 128])],None,75
+ No: 1 GFLOPS: 9.70/9.70 result: MeasureResult(costs=(0.027670739399999998,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.751457929611206, timestamp=1732632924.1424587) [('tile_y', [-1, 4]), ('tile_x', [-1, 32])],None,52
+ No: 2 GFLOPS: 3.40/9.70 result: MeasureResult(costs=(0.078901724,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.5537564754486084, timestamp=1732632925.6680558) [('tile_y', [-1, 512]), ('tile_x', [-1, 8])],None,39
+ No: 3 GFLOPS: 1.05/9.70 result: MeasureResult(costs=(0.25628505220000003,), error_no=MeasureErrorNo.NO_ERROR, all_cost=5.38553261756897, timestamp=1732632930.0285497) [('tile_y', [-1, 1]), ('tile_x', [-1, 1])],None,0
+ No: 4 GFLOPS: 10.20/10.20 result: MeasureResult(costs=(0.0263210656,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.8137915134429932, timestamp=1732632930.7131531) [('tile_y', [-1, 8]), ('tile_x', [-1, 128])],None,73
+ No: 5 GFLOPS: 2.51/10.20 result: MeasureResult(costs=(0.1071084622,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.9710164070129395, timestamp=1732632932.837295) [('tile_y', [-1, 1]), ('tile_x', [-1, 2])],None,10
+ No: 6 GFLOPS: 10.18/10.20 result: MeasureResult(costs=(0.0263649818,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6883533000946045, timestamp=1732632933.524602) [('tile_y', [-1, 512]), ('tile_x', [-1, 512])],None,99
+ No: 7 GFLOPS: 16.88/16.88 result: MeasureResult(costs=(0.015901205999999998,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.5448765754699707, timestamp=1732632934.0388846) [('tile_y', [-1, 16]), ('tile_x', [-1, 64])],None,64
+ No: 8 GFLOPS: 11.80/16.88 result: MeasureResult(costs=(0.0227527922,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6605484485626221, timestamp=1732632934.6701832) [('tile_y', [-1, 64]), ('tile_x', [-1, 256])],None,86
+ No: 9 GFLOPS: 9.18/16.88 result: MeasureResult(costs=(0.029234796999999996,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7004678249359131, timestamp=1732632935.4820654) [('tile_y', [-1, 128]), ('tile_x', [-1, 16])],None,47
+ No: 10 GFLOPS: 0.52/16.88 result: MeasureResult(costs=(0.5122421027999999,), error_no=MeasureErrorNo.NO_ERROR, all_cost=8.424883604049683, timestamp=1732632943.9398396) [('tile_y', [-1, 256]), ('tile_x', [-1, 1])],None,8
diff --git a/docs/_sources/tutorial/autotvm_relay_x86.rst.txt b/docs/_sources/tutorial/autotvm_relay_x86.rst.txt
index eda1fe8b89..831da37208 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': 533.7428664900006, 'median': 527.4104991499996, 'std': 16.908155396589343}
+ {'mean': 475.58067993999884, 'median': 475.09462344999633, 'std': 2.4263582756098083}
@@ -582,30 +582,30 @@ the tuning data to.
.. code-block:: none
- [Task 1/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 1/25] Current/Best: 18.32/ 22.23 GFLOPS | Progress: (4/20) | 10.23 s [Task 1/25] Current/Best: 16.55/ 22.23 GFLOPS | Progress: (8/20) | 13.34 s [Task 1/25] Current/Best: 9.81/ 22.23 GFLOPS | Progress: (12/20) | 17.02 s [Task 1/25] Current/Best: 12.68/ 22.23 GFLOPS | Progress: (16/20) | 19.55 s [Task 1/25] Current/Best: 11.95/ 22.23 GFLOPS | Progress: (20/20) | 22.40 s Done.
- [Task 2/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 2/25] Current/Best: 13.73/ 14.74 GFLOPS | Progress: (4/20) | 5.06 s [Task 2/25] Current/Best: 7.73/ 16.99 GFLOPS | Progress: (8/20) | 7.46 s [Task 2/25] Current/Best: 13.68/ 16.99 GFLOPS | Progress: (12/20) | 9.34 s [Task 2/25] Current/Best: 3.21/ 16.99 GFLOPS | Progress: (16/20) | 11.38 s [Task 2/25] Current/Best: 11.47/ 16.99 GFLOPS | Progress: (20/20) | 13.55 s Done.
- [Task 3/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 3/25] Current/Best: 6.58/ 20.22 GFLOPS | Progress: (4/20) | 6.49 s [Task 3/25] Current/Best: 8.71/ 21.68 GFLOPS | Progress: (8/20) | 9.65 s [Task 3/25] Current/Best: 11.70/ 21.68 GFLOPS | Progress: (12/20) | 12.28 s [Task 3/25] Current/Best: 14.52/ 23.62 GFLOPS | Progress: (16/20) | 14.50 s [Task 3/25] Current/Best: 14.15/ 23.62 GFLOPS | Progress: (20/20) | 17.34 s Done.
- [Task 4/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 4/25] Current/Best: 3.71/ 18.44 GFLOPS | Progress: (4/20) | 5.44 s [Task 4/25] Current/Best: 12.09/ 18.44 GFLOPS | Progress: (8/20) | 7.50 s [Task 4/25] Current/Best: 11.37/ 18.44 GFLOPS | Progress: (12/20) | 10.08 s [Task 4/25] Current/Best: 13.20/ 18.44 GFLOPS | Progress: (16/20) | 12.76 s [Task 4/25] Current/Best: 12.46/ 18.44 GFLOPS | Progress: (20/20) | 15.51 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/ 15.31 GFLOPS | Progress: (4/20) | 5.75 s [Task 5/25] Current/Best: 7.39/ 18.33 GFLOPS | Progress: (8/20) | 7.87 s [Task 5/25] Current/Best: 8.81/ 18.33 GFLOPS | Progress: (12/20) | 11.26 s [Task 5/25] Current/Best: 20.65/ 20.65 GFLOPS | Progress: (16/20) | 14.59 s [Task 5/25] Current/Best: 5.52/ 20.65 GFLOPS | Progress: (20/20) | 16.79 s Done.
- [Task 6/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 6/25] Current/Best: 16.04/ 16.04 GFLOPS | Progress: (4/20) | 6.37 s [Task 6/25] Current/Best: 9.95/ 21.41 GFLOPS | Progress: (8/20) | 9.60 s [Task 6/25] Current/Best: 5.66/ 21.41 GFLOPS | Progress: (12/20) | 13.84 s [Task 6/25] Current/Best: 16.86/ 21.41 GFLOPS | Progress: (16/20) | 17.61 s [Task 6/25] Current/Best: 7.53/ 21.41 GFLOPS | Progress: (20/20) | 20.73 s Done.
- [Task 7/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 7/25] Current/Best: 15.01/ 19.19 GFLOPS | Progress: (4/20) | 7.44 s [Task 7/25] Current/Best: 17.41/ 20.68 GFLOPS | Progress: (8/20) | 10.22 s [Task 7/25] Current/Best: 13.37/ 20.68 GFLOPS | Progress: (12/20) | 12.62 s [Task 7/25] Current/Best: 8.13/ 20.68 GFLOPS | Progress: (16/20) | 15.49 s [Task 7/25] Current/Best: 13.16/ 20.68 GFLOPS | Progress: (20/20) | 18.15 s Done.
- [Task 8/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 8/25] Current/Best: 16.44/ 16.44 GFLOPS | Progress: (4/20) | 7.77 s [Task 8/25] Current/Best: 15.01/ 16.44 GFLOPS | Progress: (8/20) | 19.37 s [Task 8/25] Current/Best: 2.95/ 16.44 GFLOPS | Progress: (12/20) | 24.97 s [Task 8/25] Current/Best: 6.16/ 16.44 GFLOPS | Progress: (16/20) | 36.89 s [Task 8/25] Current/Best: 18.54/ 18.54 GFLOPS | Progress: (20/20) | 42.09 s [Task 9/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 9/25] Current/Best: 11.66/ 13.68 GFLOPS | Progress: (4/20) | 6.92 s [Task 9/25] Current/Best: 6.87/ 16.85 GFLOPS | Progress: (8/20) | 9.28 s [Task 9/25] Current/Best: 5.95/ 16.85 GFLOPS | Progress: (12/20) | 17.91 s [Task 9/25] Current/Best: 12.32/ 16.85 GFLOPS | Progress: (16/20) | 21.02 s [Task 9/25] Current/Best: 9.81/ 17.32 GFLOPS | Progress: (20/2
0) | 28.49 s Done.
- [Task 10/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 10/25] Current/Best: 15.59/ 15.59 GFLOPS | Progress: (4/20) | 5.25 s [Task 10/25] Current/Best: 11.89/ 21.90 GFLOPS | Progress: (8/20) | 7.09 s [Task 10/25] Current/Best: 8.32/ 21.90 GFLOPS | Progress: (12/20) | 9.02 s [Task 10/25] Current/Best: 20.11/ 21.90 GFLOPS | Progress: (16/20) | 11.02 s [Task 10/25] Current/Best: 18.21/ 21.90 GFLOPS | Progress: (20/20) | 13.50 s Done.
- [Task 11/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 11/25] Current/Best: 18.23/ 18.23 GFLOPS | Progress: (4/20) | 6.33 s [Task 11/25] Current/Best: 8.42/ 19.48 GFLOPS | Progress: (8/20) | 9.90 s [Task 11/25] Current/Best: 19.81/ 19.81 GFLOPS | Progress: (12/20) | 12.58 s [Task 11/25] Current/Best: 12.10/ 19.81 GFLOPS | Progress: (16/20) | 15.78 s [Task 11/25] Current/Best: 9.13/ 20.97 GFLOPS | Progress: (20/20) | 18.29 s Done.
- [Task 12/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 12/25] Current/Best: 14.73/ 20.13 GFLOPS | Progress: (4/20) | 6.81 s [Task 12/25] Current/Best: 11.40/ 20.13 GFLOPS | Progress: (8/20) | 10.88 s [Task 12/25] Current/Best: 6.69/ 20.13 GFLOPS | Progress: (12/20) | 21.74 s [Task 12/25] Current/Best: 11.27/ 20.13 GFLOPS | Progress: (16/20) | 25.44 s [Task 12/25] Current/Best: 13.40/ 20.13 GFLOPS | Progress: (20/20) | 29.41 s Done.
- [Task 13/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 13/25] Current/Best: 19.83/ 19.83 GFLOPS | Progress: (4/20) | 7.03 s [Task 13/25] Current/Best: 16.99/ 19.83 GFLOPS | Progress: (8/20) | 11.31 s [Task 13/25] Current/Best: 17.37/ 20.09 GFLOPS | Progress: (12/20) | 14.18 s [Task 13/25] Current/Best: 11.19/ 20.09 GFLOPS | Progress: (16/20) | 17.41 s [Task 13/25] Current/Best: 8.11/ 20.09 GFLOPS | Progress: (20/20) | 20.18 s Done.
- [Task 14/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 14/25] Current/Best: 12.91/ 15.95 GFLOPS | Progress: (4/20) | 7.45 s [Task 14/25] Current/Best: 14.91/ 15.95 GFLOPS | Progress: (8/20) | 11.33 s [Task 14/25] Current/Best: 11.60/ 15.95 GFLOPS | Progress: (12/20) | 15.41 s [Task 14/25] Current/Best: 10.19/ 19.20 GFLOPS | Progress: (16/20) | 20.97 s [Task 14/25] Current/Best: 16.67/ 19.20 GFLOPS | Progress: (20/20) | 23.64 s Done.
- [Task 15/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 15/25] Current/Best: 7.73/ 14.52 GFLOPS | Progress: (4/20) | 9.56 s [Task 15/25] Current/Best: 18.03/ 18.17 GFLOPS | Progress: (8/20) | 14.56 s [Task 15/25] Current/Best: 14.95/ 19.65 GFLOPS | Progress: (12/20) | 18.10 s [Task 15/25] Current/Best: 17.71/ 19.65 GFLOPS | Progress: (16/20) | 22.70 s [Task 15/25] Current/Best: 10.15/ 19.65 GFLOPS | Progress: (20/20) | 28.29 s Done.
- [Task 16/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 16/25] Current/Best: 18.54/ 18.54 GFLOPS | Progress: (4/20) | 5.78 s [Task 16/25] Current/Best: 18.42/ 18.54 GFLOPS | Progress: (8/20) | 9.73 s [Task 16/25] Current/Best: 2.97/ 18.54 GFLOPS | Progress: (12/20) | 12.08 s [Task 16/25] Current/Best: 5.57/ 18.54 GFLOPS | Progress: (16/20) | 14.55 s [Task 16/25] Current/Best: 6.69/ 18.54 GFLOPS | Progress: (20/20) | 17.04 s Done.
- [Task 17/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 17/25] Current/Best: 18.52/ 21.00 GFLOPS | Progress: (4/20) | 5.18 s [Task 17/25] Current/Best: 6.17/ 21.00 GFLOPS | Progress: (8/20) | 7.67 s [Task 17/25] Current/Best: 5.33/ 21.00 GFLOPS | Progress: (12/20) | 10.29 s [Task 17/25] Current/Best: 12.79/ 21.00 GFLOPS | Progress: (16/20) | 13.23 s [Task 17/25] Current/Best: 12.46/ 21.00 GFLOPS | Progress: (20/20) | 16.25 s Done.
- [Task 18/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 18/25] Current/Best: 11.94/ 12.96 GFLOPS | Progress: (4/20) | 7.10 s [Task 18/25] Current/Best: 12.62/ 18.41 GFLOPS | Progress: (8/20) | 10.56 s [Task 18/25] Current/Best: 10.25/ 18.41 GFLOPS | Progress: (12/20) | 13.24 s [Task 18/25] Current/Best: 10.41/ 18.41 GFLOPS | Progress: (16/20) | 18.52 s [Task 18/25] Current/Best: 20.65/ 20.65 GFLOPS | Progress: (20/20) | 21.02 s Done.
- [Task 19/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 19/25] Current/Best: 7.45/ 17.47 GFLOPS | Progress: (4/20) | 7.02 s Done.
- [Task 19/25] Current/Best: 5.28/ 17.47 GFLOPS | Progress: (8/20) | 11.51 s [Task 19/25] Current/Best: 4.86/ 20.84 GFLOPS | Progress: (12/20) | 15.40 s [Task 19/25] Current/Best: 20.40/ 20.84 GFLOPS | Progress: (16/20) | 19.10 s [Task 19/25] Current/Best: 15.10/ 20.84 GFLOPS | Progress: (20/20) | 22.91 s Done.
- [Task 20/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 20/25] Current/Best: 12.51/ 16.15 GFLOPS | Progress: (4/20) | 12.83 s [Task 20/25] Current/Best: 9.74/ 16.15 GFLOPS | Progress: (8/20) | 24.48 s [Task 20/25] Current/Best: 9.86/ 16.15 GFLOPS | Progress: (12/20) | 37.42 s [Task 20/25] Current/Best: 2.70/ 16.19 GFLOPS | Progress: (16/20) | 42.78 s [Task 20/25] Current/Best: 10.26/ 16.19 GFLOPS | Progress: (20/20) | 49.02 s [Task 21/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 21/25] Current/Best: 15.22/ 15.22 GFLOPS | Progress: (4/20) | 14.08 s [Task 21/25] Current/Best: 6.49/ 15.22 GFLOPS | Progress: (8/20) | 25.27 s [Task 21/25] Current/Best: 21.02/ 21.02 GFLOPS | Progress: (12/20) | 36.41 s [Task 21/25] Current/Best: 6.94/ 21.02 GFLOPS | Progress: (16/20) | 48.00 s Done.
- [Task 21/25] Current/Best: 12.42/ 21.02 GFLOPS | Progress: (20/20) | 51.71 s Done.
- [Task 22/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 22/25] Current/Best: 13.84/ 13.84 GFLOPS | Progress: (4/20) | 4.51 s [Task 22/25] Current/Best: 9.47/ 18.49 GFLOPS | Progress: (8/20) | 6.50 s [Task 22/25] Current/Best: 9.76/ 18.49 GFLOPS | Progress: (12/20) | 8.92 s [Task 22/25] Current/Best: 16.65/ 19.06 GFLOPS | Progress: (16/20) | 11.53 s [Task 22/25] Current/Best: 9.05/ 19.06 GFLOPS | Progress: (20/20) | 13.30 s Done.
- [Task 23/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 23/25] Current/Best: 9.91/ 20.19 GFLOPS | Progress: (4/20) | 6.55 s [Task 23/25] Current/Best: 9.62/ 20.19 GFLOPS | Progress: (8/20) | 9.02 s [Task 23/25] Current/Best: 16.46/ 20.19 GFLOPS | Progress: (12/20) | 11.93 s [Task 23/25] Current/Best: 9.66/ 20.19 GFLOPS | Progress: (16/20) | 15.84 s [Task 23/25] Current/Best: 10.68/ 20.19 GFLOPS | Progress: (20/20) | 19.10 s Done.
- [Task 24/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 24/25] Current/Best: 2.29/ 9.27 GFLOPS | Progress: (4/20) | 13.79 s [Task 24/25] Current/Best: 7.63/ 9.27 GFLOPS | Progress: (8/20) | 17.27 s [Task 24/25] Current/Best: 2.72/ 9.38 GFLOPS | Progress: (12/20) | 24.73 s [Task 24/25] Current/Best: 3.79/ 9.38 GFLOPS | Progress: (16/20) | 34.56 s [Task 24/25] Current/Best: 0.91/ 9.38 GFLOPS | Progress: (20/20) | 41.26 s [Task 25/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 25/25] Current/Best: 5.62/ 5.62 GFLOPS | Progress: (4/20) | 13.76 s [Task 25/25] Current/Best: 1.54/ 5.62 GFLOPS | Progress: (8/20) | 24.84 s [Task 25/25] Current/Best: 3.21/ 9.24 GFLOPS | Progress: (12/20) | 35.89 s [Task 25/25] Current/Best: 8.04/ 9.24 GFLOPS | Progress: (16/20) | 47.75 s [Task 25/25] Current/Best: 7.50/ 9.24 GFLOPS | Progress: (2
0/20) | 58.76 s
+ [Task 1/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 1/25] Current/Best: 12.78/ 21.84 GFLOPS | Progress: (4/20) | 9.60 s [Task 1/25] Current/Best: 5.35/ 21.84 GFLOPS | Progress: (8/20) | 13.00 s [Task 1/25] Current/Best: 15.75/ 21.84 GFLOPS | Progress: (12/20) | 16.97 s [Task 1/25] Current/Best: 8.97/ 21.84 GFLOPS | Progress: (16/20) | 22.09 s [Task 1/25] Current/Best: 21.66/ 21.84 GFLOPS | Progress: (20/20) | 24.73 s Done.
+ [Task 2/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 2/25] Current/Best: 11.98/ 15.89 GFLOPS | Progress: (4/20) | 4.29 s [Task 2/25] Current/Best: 13.67/ 21.51 GFLOPS | Progress: (8/20) | 6.12 s [Task 2/25] Current/Best: 23.01/ 23.01 GFLOPS | Progress: (12/20) | 7.60 s [Task 2/25] Current/Best: 14.14/ 23.01 GFLOPS | Progress: (16/20) | 9.07 s [Task 2/25] Current/Best: 13.33/ 23.01 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: 22.37/ 22.98 GFLOPS | Progress: (4/20) | 4.39 s [Task 3/25] Current/Best: 21.00/ 23.31 GFLOPS | Progress: (8/20) | 6.42 s [Task 3/25] Current/Best: 15.94/ 24.41 GFLOPS | Progress: (12/20) | 8.81 s [Task 3/25] Current/Best: 20.10/ 24.41 GFLOPS | Progress: (16/20) | 10.67 s [Task 3/25] Current/Best: 12.58/ 24.41 GFLOPS | Progress: (20/20) | 12.88 s Done.
+ [Task 4/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 4/25] Current/Best: 13.29/ 15.96 GFLOPS | Progress: (4/20) | 6.27 s [Task 4/25] Current/Best: 8.89/ 15.96 GFLOPS | Progress: (8/20) | 10.59 s [Task 4/25] Current/Best: 20.00/ 20.00 GFLOPS | Progress: (12/20) | 12.45 s [Task 4/25] Current/Best: 13.33/ 20.00 GFLOPS | Progress: (16/20) | 14.27 s [Task 4/25] Current/Best: 11.49/ 20.00 GFLOPS | Progress: (20/20) | 19.21 s Done.
+ [Task 5/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 5/25] Current/Best: 7.70/ 16.58 GFLOPS | Progress: (4/20) | 4.78 s [Task 5/25] Current/Best: 1.76/ 16.58 GFLOPS | Progress: (8/20) | 7.46 s [Task 5/25] Current/Best: 11.51/ 16.58 GFLOPS | Progress: (12/20) | 9.55 s [Task 5/25] Current/Best: 11.89/ 19.88 GFLOPS | Progress: (16/20) | 12.36 s [Task 5/25] Current/Best: 20.95/ 20.95 GFLOPS | Progress: (20/20) | 14.23 s Done.
+ [Task 6/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 6/25] Current/Best: 9.48/ 21.94 GFLOPS | Progress: (4/20) | 4.98 s [Task 6/25] Current/Best: 17.48/ 21.94 GFLOPS | Progress: (8/20) | 8.26 s [Task 6/25] Current/Best: 13.99/ 21.94 GFLOPS | Progress: (12/20) | 11.23 s [Task 6/25] Current/Best: 17.12/ 21.94 GFLOPS | Progress: (16/20) | 14.20 s [Task 6/25] Current/Best: 8.40/ 24.24 GFLOPS | Progress: (20/20) | 18.32 s Done.
+ [Task 7/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 7/25] Current/Best: 7.52/ 15.13 GFLOPS | Progress: (4/20) | 5.00 s [Task 7/25] Current/Best: 18.49/ 18.49 GFLOPS | Progress: (8/20) | 7.89 s [Task 7/25] Current/Best: 17.80/ 18.49 GFLOPS | Progress: (12/20) | 11.72 s [Task 7/25] Current/Best: 11.21/ 20.45 GFLOPS | Progress: (16/20) | 14.46 s [Task 7/25] Current/Best: 13.64/ 20.74 GFLOPS | Progress: (20/20) | 16.47 s Done.
+ [Task 8/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 8/25] Current/Best: 5.73/ 16.48 GFLOPS | Progress: (4/20) | 5.53 s [Task 8/25] Current/Best: 13.08/ 16.48 GFLOPS | Progress: (8/20) | 8.75 s [Task 8/25] Current/Best: 13.96/ 16.48 GFLOPS | Progress: (12/20) | 15.06 s [Task 8/25] Current/Best: 16.74/ 16.74 GFLOPS | Progress: (16/20) | 22.86 s [Task 8/25] Current/Best: 15.40/ 16.99 GFLOPS | Progress: (20/20) | 30.49 s Done.
+ [Task 9/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 9/25] Current/Best: 7.77/ 13.24 GFLOPS | Progress: (4/20) | 8.27 s [Task 9/25] Current/Best: 19.35/ 19.35 GFLOPS | Progress: (8/20) | 15.22 s [Task 9/25] Current/Best: 16.72/ 21.92 GFLOPS | Progress: (12/20) | 17.01 s [Task 9/25] Current/Best: 13.41/ 21.92 GFLOPS | Progress: (16/20) | 19.70 s [Task 9/25] Current/Best: 15.49/ 21.92 GFLOPS | Progress: (20/20) | 23.32 s Done.
+ [Task 10/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 10/25] Current/Best: 16.06/ 16.19 GFLOPS | Progress: (4/20) | 4.20 s [Task 10/25] Current/Best: 18.98/ 18.98 GFLOPS | Progress: (8/20) | 6.30 s [Task 10/25] Current/Best: 19.49/ 19.49 GFLOPS | Progress: (12/20) | 8.12 s [Task 10/25] Current/Best: 8.00/ 19.49 GFLOPS | Progress: (16/20) | 10.93 s [Task 10/25] Current/Best: 15.58/ 19.49 GFLOPS | Progress: (20/20) | 14.00 s Done.
+ [Task 11/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 11/25] Current/Best: 18.35/ 19.59 GFLOPS | Progress: (4/20) | 4.56 s [Task 11/25] Current/Best: 15.17/ 19.59 GFLOPS | Progress: (8/20) | 8.39 s [Task 11/25] Current/Best: 9.44/ 19.59 GFLOPS | Progress: (12/20) | 11.93 s [Task 11/25] Current/Best: 6.70/ 19.59 GFLOPS | Progress: (16/20) | 15.50 s [Task 11/25] Current/Best: 5.83/ 23.36 GFLOPS | Progress: (20/20) | 17.61 s Done.
+ [Task 12/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 12/25] Current/Best: 16.11/ 18.70 GFLOPS | Progress: (4/20) | 4.35 s [Task 12/25] Current/Best: 15.57/ 20.94 GFLOPS | Progress: (8/20) | 6.20 s [Task 12/25] Current/Best: 9.86/ 20.94 GFLOPS | Progress: (12/20) | 8.28 s [Task 12/25] Current/Best: 15.96/ 20.94 GFLOPS | Progress: (16/20) | 12.11 s [Task 12/25] Current/Best: 17.16/ 20.94 GFLOPS | Progress: (20/20) | 14.46 s Done.
+ [Task 13/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 13/25] Current/Best: 14.01/ 22.12 GFLOPS | Progress: (4/20) | 5.03 s [Task 13/25] Current/Best: 20.56/ 22.12 GFLOPS | Progress: (8/20) | 7.84 s [Task 13/25] Current/Best: 4.46/ 22.12 GFLOPS | Progress: (12/20) | 11.43 s [Task 13/25] Current/Best: 8.87/ 22.12 GFLOPS | Progress: (16/20) | 14.78 s [Task 13/25] Current/Best: 10.28/ 22.12 GFLOPS | Progress: (20/20) | 17.17 s Done.
+ [Task 14/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 14/25] Current/Best: 14.02/ 16.75 GFLOPS | Progress: (4/20) | 4.99 s [Task 14/25] Current/Best: 18.16/ 18.16 GFLOPS | Progress: (8/20) | 7.28 s [Task 14/25] Current/Best: 14.38/ 21.75 GFLOPS | Progress: (12/20) | 9.22 s [Task 14/25] Current/Best: 8.18/ 21.75 GFLOPS | Progress: (16/20) | 13.98 s [Task 14/25] Current/Best: 12.95/ 21.75 GFLOPS | Progress: (20/20) | 21.02 s Done.
+ [Task 15/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 15/25] Current/Best: 5.70/ 18.51 GFLOPS | Progress: (4/20) | 6.74 s [Task 15/25] Current/Best: 8.79/ 18.51 GFLOPS | Progress: (8/20) | 10.60 s [Task 15/25] Current/Best: 21.64/ 21.64 GFLOPS | Progress: (12/20) | 12.09 s [Task 15/25] Current/Best: 9.76/ 21.64 GFLOPS | Progress: (16/20) | 15.28 s [Task 15/25] Current/Best: 11.07/ 21.64 GFLOPS | Progress: (20/20) | 23.83 s Done.
+ [Task 16/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 16/25] Current/Best: 10.91/ 13.91 GFLOPS | Progress: (4/20) | 6.31 s [Task 16/25] Current/Best: 17.80/ 17.80 GFLOPS | Progress: (8/20) | 8.31 s [Task 16/25] Current/Best: 10.71/ 17.80 GFLOPS | Progress: (12/20) | 10.67 s [Task 16/25] Current/Best: 18.67/ 18.67 GFLOPS | Progress: (16/20) | 13.43 s [Task 16/25] Current/Best: 4.28/ 18.67 GFLOPS | Progress: (20/20) | 16.30 s Done.
+ [Task 17/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 17/25] Current/Best: 3.10/ 14.08 GFLOPS | Progress: (4/20) | 6.01 s [Task 17/25] Current/Best: 8.57/ 14.08 GFLOPS | Progress: (8/20) | 9.25 s [Task 17/25] Current/Best: 10.86/ 22.17 GFLOPS | Progress: (12/20) | 11.94 s [Task 17/25] Current/Best: 14.81/ 22.17 GFLOPS | Progress: (16/20) | 14.43 s [Task 17/25] Current/Best: 13.77/ 22.17 GFLOPS | Progress: (20/20) | 17.42 s Done.
+ [Task 18/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 18/25] Current/Best: 15.20/ 15.20 GFLOPS | Progress: (4/20) | 5.31 s [Task 18/25] Current/Best: 14.26/ 18.43 GFLOPS | Progress: (8/20) | 9.57 s [Task 18/25] Current/Best: 18.56/ 18.56 GFLOPS | Progress: (12/20) | 14.33 s [Task 18/25] Current/Best: 5.24/ 18.56 GFLOPS | Progress: (16/20) | 19.17 s [Task 18/25] Current/Best: 17.66/ 20.65 GFLOPS | Progress: (20/20) | 21.53 s Done.
+ [Task 19/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 19/25] Current/Best: 12.55/ 12.55 GFLOPS | Progress: (4/20) | 7.11 s [Task 19/25] Current/Best: 18.16/ 20.42 GFLOPS | Progress: (8/20) | 10.76 s [Task 19/25] Current/Best: 18.00/ 20.42 GFLOPS | Progress: (12/20) | 14.49 s [Task 19/25] Current/Best: 18.32/ 20.42 GFLOPS | Progress: (16/20) | 20.50 s [Task 19/25] Current/Best: 8.13/ 20.42 GFLOPS | Progress: (20/20) | 23.80 s Done.
+ [Task 20/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 20/25] Current/Best: 6.66/ 17.26 GFLOPS | Progress: (4/20) | 6.66 s [Task 20/25] Current/Best: 9.83/ 17.26 GFLOPS | Progress: (8/20) | 9.47 s [Task 20/25] Current/Best: 12.72/ 19.08 GFLOPS | Progress: (12/20) | 11.99 s [Task 20/25] Current/Best: 10.62/ 19.08 GFLOPS | Progress: (16/20) | 16.61 s [Task 20/25] Current/Best: 18.25/ 19.08 GFLOPS | Progress: (20/20) | 28.37 s [Task 21/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 21/25] Current/Best: 20.74/ 21.67 GFLOPS | Progress: (4/20) | 9.72 s [Task 21/25] Current/Best: 10.58/ 21.67 GFLOPS | Progress: (8/20) | 11.40 s [Task 21/25] Current/Best: 9.07/ 21.67 GFLOPS | Progress: (12/20) | 14.16 s [Task 21/25] Current/Best: 10.92/ 21.67 GFLOPS | Progress: (16/20) | 25.73 s [Task 21/25] Current/Best: 9.11/ 21.67 GFLOPS | Progress: (20/2
0) | 38.04 s [Task 22/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s Done.
+ Done.
+ [Task 22/25] Current/Best: 16.54/ 16.54 GFLOPS | Progress: (4/20) | 5.89 s [Task 22/25] Current/Best: 6.15/ 17.74 GFLOPS | Progress: (8/20) | 8.11 s [Task 22/25] Current/Best: 19.26/ 19.26 GFLOPS | Progress: (12/20) | 10.16 s [Task 22/25] Current/Best: 9.65/ 19.26 GFLOPS | Progress: (16/20) | 13.05 s [Task 22/25] Current/Best: 8.23/ 21.02 GFLOPS | Progress: (20/20) | 14.75 s Done.
+ [Task 23/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 23/25] Current/Best: 17.72/ 20.48 GFLOPS | Progress: (4/20) | 5.21 s [Task 23/25] Current/Best: 5.32/ 21.89 GFLOPS | Progress: (8/20) | 8.19 s [Task 23/25] Current/Best: 21.53/ 22.53 GFLOPS | Progress: (12/20) | 10.76 s [Task 23/25] Current/Best: 10.78/ 22.53 GFLOPS | Progress: (16/20) | 14.43 s [Task 23/25] Current/Best: 17.54/ 22.53 GFLOPS | Progress: (20/20) | 18.52 s Done.
+ [Task 24/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 24/25] Current/Best: 5.29/ 9.28 GFLOPS | Progress: (4/20) | 4.09 s [Task 24/25] Current/Best: 3.51/ 9.28 GFLOPS | Progress: (8/20) | 15.10 s [Task 24/25] Current/Best: 7.65/ 9.28 GFLOPS | Progress: (12/20) | 23.28 s [Task 24/25] Current/Best: 3.83/ 9.28 GFLOPS | Progress: (16/20) | 25.56 s [Task 24/25] Current/Best: 0.96/ 9.28 GFLOPS | Progress: (20/20) | 29.73 s [Task 25/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s [Task 25/25] Current/Best: 5.78/ 7.99 GFLOPS | Progress: (4/20) | 13.46 s [Task 25/25] Current/Best: 4.09/ 7.99 GFLOPS | Progress: (8/20) | 24.49 s [Task 25/25] Current/Best: 8.30/ 9.93 GFLOPS | Progress: (12/20) | 35.70 s [Task 25/25] Current/Best: 7.52/ 9.93 GFLOPS | Progress: (16/20) | 41.47 s [Task 25/25] Current/Best: 9.40/ 9.93 GFLOPS | Progress: (20
/20) | 52.46 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=0.621104
- class='n02123159 tiger cat' with probability=0.356378
+ class='n02123045 tabby, tabby cat' with probability=0.621103
+ class='n02123159 tiger cat' with probability=0.356379
class='n02124075 Egyptian cat' with probability=0.019712
class='n02129604 tiger, Panthera tigris' with probability=0.001215
class='n04040759 radiator' with probability=0.000262
@@ -766,8 +766,8 @@ improvement in comparing the optimized model to the unoptimized model.
.. code-block:: none
- optimized: {'mean': 419.24728985999536, 'median': 417.8486317999841, 'std': 4.618934947664931}
- unoptimized: {'mean': 533.7428664900006, 'median': 527.4104991499996, 'std': 16.908155396589343}
+ optimized: {'mean': 412.5629195700003, 'median': 411.47900765000713, 'std': 2.273564975386873}
+ unoptimized: {'mean': 475.58067993999884, 'median': 475.09462344999633, 'std': 2.4263582756098083}
@@ -790,7 +790,7 @@ profiling/benchmarking.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** (15 minutes 38.839 seconds)
+ **Total running time of the script:** (13 minutes 23.957 seconds)
.. _sphx_glr_download_tutorial_autotvm_relay_x86.py:
diff --git a/docs/_sources/tutorial/intro_topi.rst.txt b/docs/_sources/tutorial/intro_topi.rst.txt
index d4652b78c7..ff7c5a5dab 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, 0x31831960)), stage(b, placeholder(b, 0x293a5780)), 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, 0x290ed790)), stage(b, placeholder(b, 0x29473520)), 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 d792e9b3b7..7ca652914a 100644
--- a/docs/_sources/tutorial/sg_execution_times.rst.txt
+++ b/docs/_sources/tutorial/sg_execution_times.rst.txt
@@ -6,7 +6,7 @@
Computation times
=================
-**20:07.084** total execution time for 11 files **from tutorial**:
+**17:04.639** total execution time for 11 files **from tutorial**:
.. container::
@@ -33,35 +33,35 @@ Computation times
- Time
- Mem (MB)
* - :ref:`sphx_glr_tutorial_autotvm_relay_x86.py` (``autotvm_relay_x86.py``)
- - 15:38.839
+ - 13:23.957
- 0.0
* - :ref:`sphx_glr_tutorial_auto_scheduler_matmul_x86.py` (``auto_scheduler_matmul_x86.py``)
- - 02:04.726
+ - 01:29.098
- 0.0
* - :ref:`sphx_glr_tutorial_tensor_expr_get_started.py` (``tensor_expr_get_started.py``)
- - 01:13.548
+ - 00:57.888
- 0.0
* - :ref:`sphx_glr_tutorial_relay_quick_start.py` (``relay_quick_start.py``)
- - 00:48.395
+ - 00:44.263
- 0.0
* - :ref:`sphx_glr_tutorial_autotvm_matmul_x86.py` (``autotvm_matmul_x86.py``)
- - 00:19.135
+ - 00:27.186
- 0.0
* - :ref:`sphx_glr_tutorial_tensor_ir_blitz_course.py` (``tensor_ir_blitz_course.py``)
- - 00:01.500
+ - 00:01.385
- 0.0
* - :ref:`sphx_glr_tutorial_intro_topi.py` (``intro_topi.py``)
- - 00:00.941
+ - 00:00.862
- 0.0
- * - :ref:`sphx_glr_tutorial_introduction.py` (``introduction.py``)
+ * - :ref:`sphx_glr_tutorial_uma.py` (``uma.py``)
- 00:00.000
- 0.0
- * - :ref:`sphx_glr_tutorial_tvmc_python.py` (``tvmc_python.py``)
+ * - :ref:`sphx_glr_tutorial_tvmc_command_line_driver.py` (``tvmc_command_line_driver.py``)
- 00:00.000
- 0.0
- * - :ref:`sphx_glr_tutorial_uma.py` (``uma.py``)
+ * - :ref:`sphx_glr_tutorial_tvmc_python.py` (``tvmc_python.py``)
- 00:00.000
- 0.0
- * - :ref:`sphx_glr_tutorial_tvmc_command_line_driver.py` (``tvmc_command_line_driver.py``)
+ * - :ref:`sphx_glr_tutorial_introduction.py` (``introduction.py``)
- 00:00.000
- 0.0
diff --git a/docs/_sources/tutorial/tensor_expr_get_started.rst.txt b/docs/_sources/tutorial/tensor_expr_get_started.rst.txt
index 962a9698bf..88cc2a106e 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: 0.000010
+ Numpy running time: 0.000012
naive: 0.000006
@@ -498,10 +498,10 @@ We can now compare the different schedules
.. code-block:: none
Operator Timing Performance
- numpy 9.513210000022809e-06 1.0
- naive 5.8696e-06 0.6169946842323387
- parallel 6.2722e-06 0.6593147843877053
- vector 4.00194e-05 4.206718867753792
+ numpy 1.2297299999772804e-05 1.0
+ naive 5.8325000000000005e-06 0.4742911045601683
+ parallel 6.076899999999999e-06 0.49416538590684717
+ vector 3.9953e-05 3.248924560735946
@@ -922,7 +922,7 @@ matrix multiplication.
.. code-block:: none
- Numpy running time: 0.020885
+ Numpy running time: 0.018637
@@ -980,7 +980,7 @@ optimizations.
.. code-block:: none
- none: 4.219324
+ none: 3.268676
@@ -1080,7 +1080,7 @@ schedule.
.. code-block:: none
- blocking: 0.379992
+ blocking: 0.289957
@@ -1164,7 +1164,7 @@ already cache friendly from our previous optimizations.
.. code-block:: none
- vectorization: 0.368366
+ vectorization: 0.270329
# 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: 0.154109
+ loop permutation: 0.110087
# 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: 0.112374
+ array packing: 0.101660
# 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: 0.120026
+ block caching: 0.100222
# 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: 0.140467
+ parallelization: 0.120022
# 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 4.219323659700001 1.0
- blocking 0.3799922638 0.09005999407663785
- vectorization 0.3683661528 0.08730454985436963
- loop permutation 0.15410859170000002 0.03652447741137672
- array packing 0.1123741275 0.026633208675911332
- block caching 0.1200256712 0.02844666133257338
- parallelization 0.140466694 0.03329128204637123
+ none 3.2686763368 1.0
+ blocking 0.2899566179 0.08870765656285948
+ vectorization 0.2703293818 0.0827030130687854
+ loop permutation 0.11008727650000001 0.03367946690242641
+ array packing 0.1016600081 0.031101276977311278
+ block caching 0.1002224397 0.030661475586205248
+ parallelization 0.1200217627 0.03671876635467067
@@ -1594,11 +1594,6 @@ 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 13.548 seconds)
-
-
.. _sphx_glr_download_tutorial_tensor_expr_get_started.py:
.. only:: html
diff --git a/docs/commit_hash b/docs/commit_hash
index 9f98013eda..1e287ee9aa 100644
--- a/docs/commit_hash
+++ b/docs/commit_hash
@@ -1 +1 @@
-92e2bba08e8a8915d5875cd49e522dbdf74c9bca
+7ae7ea836169d3cf28b05c7d0dd2cb6a2045508e
diff --git a/docs/deep_dive/relax/tutorials/relax_creation.html b/docs/deep_dive/relax/tutorials/relax_creation.html
index bcdd2171eb..c94f0d4ad3 100644
--- a/docs/deep_dive/relax/tutorials/relax_creation.html
+++ b/docs/deep_dive/relax/tutorials/relax_creation.html
@@ -197,10 +197,22 @@
<li class="toctree-l1"><a class="reference internal" href="../../../how_to/dev/index.html">Development Guides</a></li>
</ul>
<p class="caption" role="heading"><span class="caption-text">Deep Dive</span></p>
-<ul>
+<ul class="current">
<li class="toctree-l1"><a class="reference internal" href="../../../arch/index.html">Design and Architecture</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../tensor_ir/index.html">TensorIR</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../index.html">Relax</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../index.html">Relax</a><ul class="current">
+<li class="toctree-l2"><a class="reference internal" href="../abstraction.html">Graph Abstraction for ML Models</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../learning.html">Understand Relax Abstraction</a></li>
+<li class="toctree-l2 current"><a class="current reference internal" href="#">Relax Creation</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="#create-relax-programs-using-tvmscript">Create Relax programs using TVMScript</a></li>
+<li class="toctree-l3"><a class="reference internal" href="#create-relax-programs-using-nnmodule-api">Create Relax programs using NNModule API</a></li>
+<li class="toctree-l3"><a class="reference internal" href="#create-relax-programs-using-block-builder-api">Create Relax programs using Block Builder API</a></li>
+<li class="toctree-l3"><a class="reference internal" href="#summary">Summary</a></li>
+</ul>
+</li>
+<li class="toctree-l2"><a class="reference internal" href="relax_transformation.html">Transformation</a></li>
+</ul>
+</li>
</ul>
<p class="caption" role="heading"><span class="caption-text">API Reference</span></p>
<ul>
diff --git a/docs/deep_dive/relax/tutorials/relax_transformation.html b/docs/deep_dive/relax/tutorials/relax_transformation.html
index 4b813523e3..fe28fb830e 100644
--- a/docs/deep_dive/relax/tutorials/relax_transformation.html
+++ b/docs/deep_dive/relax/tutorials/relax_transformation.html
@@ -197,10 +197,21 @@
<li class="toctree-l1"><a class="reference internal" href="../../../how_to/dev/index.html">Development Guides</a></li>
</ul>
<p class="caption" role="heading"><span class="caption-text">Deep Dive</span></p>
-<ul>
+<ul class="current">
<li class="toctree-l1"><a class="reference internal" href="../../../arch/index.html">Design and Architecture</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../tensor_ir/index.html">TensorIR</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../index.html">Relax</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../index.html">Relax</a><ul class="current">
+<li class="toctree-l2"><a class="reference internal" href="../abstraction.html">Graph Abstraction for ML Models</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../learning.html">Understand Relax Abstraction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="relax_creation.html">Relax Creation</a></li>
+<li class="toctree-l2 current"><a class="current reference internal" href="#">Transformation</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="#apply-transformations">Apply transformations</a></li>
+<li class="toctree-l3"><a class="reference internal" href="#custom-passes">Custom Passes</a></li>
+<li class="toctree-l3"><a class="reference internal" href="#summary">Summary</a></li>
+</ul>
+</li>
+</ul>
+</li>
</ul>
<p class="caption" role="heading"><span class="caption-text">API Reference</span></p>
<ul>
diff --git a/docs/deep_dive/relax/tutorials/sg_execution_times.html b/docs/deep_dive/relax/tutorials/sg_execution_times.html
index 5f8a8e2ee4..238d53ffb6 100644
--- a/docs/deep_dive/relax/tutorials/sg_execution_times.html
+++ b/docs/deep_dive/relax/tutorials/sg_execution_times.html
@@ -308,7 +308,7 @@
<section id="computation-times">
<span id="sphx-glr-deep-dive-relax-tutorials-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Link to this heading"></a></h1>
-<p><strong>00:00.305</strong> total execution time for 2 files <strong>from deep_dive/relax/tutorials</strong>:</p>
+<p><strong>00:00.278</strong> total execution time for 2 files <strong>from deep_dive/relax/tutorials</strong>:</p>
<div class="docutils container">
<style scoped>
<link href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/5.3.0/css/bootstrap.min.css" rel="stylesheet" />
@@ -330,11 +330,11 @@ $(document).ready( function () {
</thead>
<tbody>
<tr class="row-even"><td><p><a class="reference internal" href="relax_creation.html#sphx-glr-deep-dive-relax-tutorials-relax-creation-py"><span class="std std-ref">Relax Creation</span></a> (<code class="docutils literal notranslate"><span class="pre">relax_creation.py</span></code>)</p></td>
-<td><p>00:00.214</p></td>
+<td><p>00:00.189</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="relax_transformation.html#sphx-glr-deep-dive-relax-tutorials-relax-transformation-py"><span class="std std-ref">Transformation</span></a> (<code class="docutils literal notranslate"><span class="pre">relax_transformation.py</span></code>)</p></td>
-<td><p>00:00.091</p></td>
+<td><p>00:00.089</p></td>
<td><p>0.0</p></td>
</tr>
</tbody>
diff --git a/docs/deep_dive/tensor_ir/tutorials/sg_execution_times.html b/docs/deep_dive/tensor_ir/tutorials/sg_execution_times.html
index 4b9c7efacd..7b81ee2d37 100644
--- a/docs/deep_dive/tensor_ir/tutorials/sg_execution_times.html
+++ b/docs/deep_dive/tensor_ir/tutorials/sg_execution_times.html
@@ -308,7 +308,7 @@
<section id="computation-times">
<span id="sphx-glr-deep-dive-tensor-ir-tutorials-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Link to this heading"></a></h1>
-<p><strong>00:00.654</strong> total execution time for 2 files <strong>from deep_dive/tensor_ir/tutorials</strong>:</p>
+<p><strong>00:00.647</strong> total execution time for 2 files <strong>from deep_dive/tensor_ir/tutorials</strong>:</p>
<div class="docutils container">
<style scoped>
<link href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/5.3.0/css/bootstrap.min.css" rel="stylesheet" />
@@ -330,11 +330,11 @@ $(document).ready( function () {
</thead>
<tbody>
<tr class="row-even"><td><p><a class="reference internal" href="tir_transformation.html#sphx-glr-deep-dive-tensor-ir-tutorials-tir-transformation-py"><span class="std std-ref">Transformation</span></a> (<code class="docutils literal notranslate"><span class="pre">tir_transformation.py</span></code>)</p></td>
-<td><p>00:00.364</p></td>
+<td><p>00:00.370</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="tir_creation.html#sphx-glr-deep-dive-tensor-ir-tutorials-tir-creation-py"><span class="std std-ref">TensorIR Creation</span></a> (<code class="docutils literal notranslate"><span class="pre">tir_creation.py</span></code>)</p></td>
-<td><p>00:00.291</p></td>
+<td><p>00:00.278</p></td>
<td><p>0.0</p></td>
</tr>
</tbody>
diff --git a/docs/deep_dive/tensor_ir/tutorials/tir_transformation.html b/docs/deep_dive/tensor_ir/tutorials/tir_transformation.html
index b839827816..71decc3569 100644
--- a/docs/deep_dive/tensor_ir/tutorials/tir_transformation.html
+++ b/docs/deep_dive/tensor_ir/tutorials/tir_transformation.html
@@ -398,7 +398,7 @@ original implementation.</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)
- 2.3166 2.3166 2.3166 2.3166 0.0000
+ 2.3177 2.3177 2.3177 2.3177 0.0000
</pre></div>
</div>
<section id="initialization-schedule">
@@ -494,7 +494,7 @@ class Module:
Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
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</pre></div>
</div>
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@@ -588,7 +588,7 @@ class Module:
Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
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</pre></div>
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diff --git a/docs/get_started/tutorials/sg_execution_times.html b/docs/get_started/tutorials/sg_execution_times.html
index 29b924f978..6ef5636cae 100644
--- a/docs/get_started/tutorials/sg_execution_times.html
+++ b/docs/get_started/tutorials/sg_execution_times.html
@@ -308,7 +308,7 @@
<section id="computation-times">
<span id="sphx-glr-get-started-tutorials-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Link to this heading"></a></h1>
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+<p><strong>00:02.674</strong> total execution time for 2 files <strong>from get_started/tutorials</strong>:</p>
<div class="docutils container">
<style scoped>
<link href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/5.3.0/css/bootstrap.min.css" rel="stylesheet" />
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</thead>
<tbody>
<tr class="row-even"><td><p><a class="reference internal" href="ir_module.html#sphx-glr-get-started-tutorials-ir-module-py"><span class="std std-ref">IRModule</span></a> (<code class="docutils literal notranslate"><span class="pre">ir_module.py</span></code>)</p></td>
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<td><p>0.0</p></td>
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<tr class="row-odd"><td><p><a class="reference internal" href="quick_start.html#sphx-glr-get-started-tutorials-quick-start-py"><span class="std std-ref">Quick Start</span></a> (<code class="docutils literal notranslate"><span class="pre">quick_start.py</span></code>)</p></td>
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<td><p>0.0</p></td>
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diff --git a/docs/how_to/compile_models/from_darknet.html b/docs/how_to/compile_models/from_darknet.html
index 79221db824..73daa8fe0f 100644
--- a/docs/how_to/compile_models/from_darknet.html
+++ b/docs/how_to/compile_models/from_darknet.html
@@ -550,7 +550,7 @@ 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 44.860 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (1 minutes 39.210 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-jupyter docutils container">
<p><a class="reference download internal" download="" href="../../_downloads/f97d815b408ef3f4d6bcb3e073c2d4dd/from_darknet.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">from_darknet.ipynb</span></code></a></p>
diff --git a/docs/how_to/compile_models/from_keras.html b/docs/how_to/compile_models/from_keras.html
index 52bff9c1e4..db4ccbe9eb 100644
--- a/docs/how_to/compile_models/from_keras.html
+++ b/docs/how_to/compile_models/from_keras.html
@@ -471,7 +471,7 @@ Tensorflow is also required since it’s used as the default backend of keras.</
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Relay top-1 id: 285, class name: Egyptian cat
1/1 [==============================] - ETA: 0s
-1/1 [==============================] - 1s 1s/step
+1/1 [==============================] - 1s 921ms/step
Keras top-1 id: 285, class name: Egyptian cat
</pre></div>
</div>
diff --git a/docs/how_to/compile_models/from_paddle.html b/docs/how_to/compile_models/from_paddle.html
index 37e5d1bcf1..571daa42f8 100644
--- a/docs/how_to/compile_models/from_paddle.html
+++ b/docs/how_to/compile_models/from_paddle.html
@@ -449,7 +449,7 @@ 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 13.707 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (1 minutes 6.833 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-jupyter docutils container">
<p><a class="reference download internal" download="" href="../../_downloads/a608d8b69371e9bc149dd89f6db2c38e/from_paddle.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">from_paddle.ipynb</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 6bc9b24589..62240b3260 100644
--- a/docs/how_to/compile_models/from_pytorch.html
+++ b/docs/how_to/compile_models/from_pytorch.html
@@ -397,13 +397,9 @@ 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]
- 15%|█▍ | 6.50M/44.7M [00:00<00:00, 67.9MB/s]
- 30%|██▉ | 13.2M/44.7M [00:00<00:00, 69.4MB/s]
- 46%|████▋ | 20.8M/44.7M [00:00<00:00, 73.6MB/s]
- 62%|██████▏ | 27.9M/44.7M [00:00<00:00, 73.9MB/s]
- 78%|███████▊ | 35.0M/44.7M [00:00<00:00, 73.2MB/s]
- 94%|█████████▍| 42.0M/44.7M [00:00<00:00, 62.9MB/s]
-100%|██████████| 44.7M/44.7M [00:00<00:00, 67.9MB/s]
+ 35%|███▌ | 15.8M/44.7M [00:00<00:00, 164MB/s]
+ 84%|████████▍ | 37.6M/44.7M [00:00<00:00, 202MB/s]
+100%|██████████| 44.7M/44.7M [00:00<00:00, 201MB/s]
</pre></div>
</div>
</section>
diff --git a/docs/how_to/compile_models/from_tensorflow.html b/docs/how_to/compile_models/from_tensorflow.html
index 7cba0037c9..b8ad20e31d 100644
--- a/docs/how_to/compile_models/from_tensorflow.html
+++ b/docs/how_to/compile_models/from_tensorflow.html
@@ -614,7 +614,7 @@ 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 46.340 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (1 minutes 36.387 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-jupyter docutils container">
<p><a class="reference download internal" download="" href="../../_downloads/83e3b018e8bac8d31bb331d200a33a04/from_tensorflow.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">from_tensorflow.ipynb</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 966bc0e361..932622f689 100644
--- a/docs/how_to/compile_models/sg_execution_times.html
+++ b/docs/how_to/compile_models/sg_execution_times.html
@@ -308,7 +308,7 @@
<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="Link to this heading"></a></h1>
-<p><strong>06:50.467</strong> total execution time for 8 files <strong>from how_to/compile_models</strong>:</p>
+<p><strong>06:14.379</strong> total execution time for 8 files <strong>from how_to/compile_models</strong>:</p>
<div class="docutils container">
<style scoped>
<link href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/5.3.0/css/bootstrap.min.css" rel="stylesheet" />
@@ -329,36 +329,36 @@ $(document).ready( function () {
</tr>
</thead>
<tbody>
-<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>01:46.340</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="from_darknet.html#sphx-glr-how-to-compile-models-from-darknet-py"><span class="std std-ref">Compile YOLO-V2 and YOLO-V3 in DarkNet Models</span></a> (<code class="docutils literal notranslate"><span class="pre">from_darknet.py</span></code>)</p></td>
+<td><p>01:39.210</p></td>
<td><p>0.0</p></td>
</tr>
-<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>01:44.860</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="from_tensorflow.html#sphx-glr-how-to-compile-models-from-tensorflow-py"><span class="std std-ref">Compile Tensorflow Models</span></a> (<code class="docutils literal notranslate"><span class="pre">from_tensorflow.py</span></code>)</p></td>
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<td><p>0.0</p></td>
</tr>
<tr class="row-even"><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>01:13.707</p></td>
+<td><p>01:06.833</p></td>
<td><p>0.0</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>
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+<td><p>00:41.074</p></td>
<td><p>0.0</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>00:32.273</p></td>
+<td><p>00:29.254</p></td>
<td><p>0.0</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>00:30.347</p></td>
+<td><p>00:26.886</p></td>
<td><p>0.0</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>
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+<td><p>00:11.920</p></td>
<td><p>0.0</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>00:03.161</p></td>
+<td><p>00:02.815</p></td>
<td><p>0.0</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 f829c73e9d..81c343aa43 100644
--- a/docs/how_to/deploy_models/deploy_model_on_adreno.html
+++ b/docs/how_to/deploy_models/deploy_model_on_adreno.html
@@ -791,10 +791,10 @@ Top5 predictions:
Evaluate inference time cost...
Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 4145.2366 4145.0039 4152.0037 4141.2334 3.2930
+ 3992.7618 3992.8940 3995.3456 3989.4733 1.7724
</pre></div>
</div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (1 minutes 25.280 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (1 minutes 19.486 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-jupyter docutils container">
<p><a class="reference download internal" download="" href="../../_downloads/b9e7311d8c56eb6e6aca08f0be35ff03/deploy_model_on_adreno.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">deploy_model_on_adreno.ipynb</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 c53331c1b9..06b2d63908 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
@@ -420,12 +420,11 @@ to run this tutorial with a real device over rpc.</p>
Downloading: "https://download.pytorch.org/models/resnet50-0676ba61.pth" to /workspace/.cache/torch/hub/checkpoints/resnet50-0676ba61.pth
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+ 17%|█▋ | 16.9M/97.8M [00:00<00:00, 176MB/s]
+ 41%|████ | 39.9M/97.8M [00:00<00:00, 214MB/s]
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+100%|██████████| 97.8M/97.8M [00:00<00:00, 226MB/s]
</pre></div>
</div>
</section>
@@ -896,7 +895,7 @@ Output Names:
['output_0']
</pre></div>
</div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (1 minutes 14.549 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (1 minutes 3.927 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-tvmc-py">
<div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
<p><a class="reference download internal" download="" href="../../_downloads/613e0775d8981e544e6ca9602a975916/deploy_model_on_adreno_tvmc.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">deploy_model_on_adreno_tvmc.ipynb</span></code></a></p>
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 0503972186..5e3d6ddc98 100644
--- a/docs/how_to/deploy_models/deploy_model_on_android.html
+++ b/docs/how_to/deploy_models/deploy_model_on_android.html
@@ -629,7 +629,7 @@ to the remote android device.</p>
Evaluate inference time cost...
Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 16.9095 16.8923 18.0605 16.2384 0.6199
+ 14.6766 14.6263 15.3532 14.3708 0.2559
</pre></div>
</div>
</section>
@@ -654,7 +654,6 @@ Evaluate<span class="w"> </span>inference<span class="w"> </span><span class="nb
Mean<span class="w"> </span>inference<span class="w"> </span><span class="nb">time</span><span class="w"> </span><span class="o">(</span>std<span class="w"> </span>dev<span class="o">)</span>:<span class="w"> </span><span class="m">465</span>.80<span class="w"> </span>ms<span class="w"> </span><span class="o">(</span><span class="m">4</span>.52<span class="w"> </span>ms<span class="o">)</span>
</pre></div>
</div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (1 minutes 2.676 seconds)</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-deploy-models-deploy-model-on-android-py">
<div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
<p><a class="reference download internal" download="" href="../../_downloads/eed2658f15243bab719b2de7769fa45a/deploy_model_on_android.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">deploy_model_on_android.ipynb</span></code></a></p>
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 1b450524ba..fe29e801c7 100644
--- a/docs/how_to/deploy_models/deploy_object_detection_pytorch.html
+++ b/docs/how_to/deploy_models/deploy_object_detection_pytorch.html
@@ -421,29 +421,16 @@ 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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-100%|██████████| 170M/170M [00:02<00:00, 74.7MB/s]
+ 7%|▋ | 11.9M/170M [00:00<00:01, 124MB/s]
+ 17%|█▋ | 29.1M/170M [00:00<00:00, 157MB/s]
+ 28%|██▊ | 47.5M/170M [00:00<00:00, 173MB/s]
+ 39%|███▉ | 66.6M/170M [00:00<00:00, 184MB/s]
+ 51%|█████ | 85.9M/170M [00:00<00:00, 190MB/s]
+ 62%|██████▏ | 105M/170M [00:00<00:00, 193MB/s]
+ 73%|███████▎ | 124M/170M [00:00<00:00, 197MB/s]
+ 85%|████████▍ | 144M/170M [00:00<00:00, 198MB/s]
+ 96%|█████████▌| 163M/170M [00:00<00:00, 199MB/s]
+100%|██████████| 170M/170M [00:00<00:00, 190MB/s]
/venv/apache-tvm-py3.9/lib/python3.9/site-packages/torch/nn/functional.py:4031: 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-py3.9/lib/python3.9/site-packages/torchvision/ops/boxes.py:166: 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).
@@ -538,7 +525,7 @@ torchvision rcnn models.</p>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Get 9 valid boxes
</pre></div>
</div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (4 minutes 37.081 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (3 minutes 36.097 seconds)</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-deploy-models-deploy-object-detection-pytorch-py">
<div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
<p><a class="reference download internal" download="" href="../../_downloads/399e1d7889ca66b69d51655784827503/deploy_object_detection_pytorch.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">deploy_object_detection_pytorch.ipynb</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 181e1d6309..05c70d0b9b 100644
--- a/docs/how_to/deploy_models/deploy_prequantized.html
+++ b/docs/how_to/deploy_models/deploy_prequantized.html
@@ -460,7 +460,8 @@ training. Other models require a full post training calibration.</p>
Downloading: "https://download.pytorch.org/models/mobilenet_v2-b0353104.pth" to /workspace/.cache/torch/hub/checkpoints/mobilenet_v2-b0353104.pth
0%| | 0.00/13.6M [00:00<?, ?B/s]
-100%|██████████| 13.6M/13.6M [00:00<00:00, 151MB/s]
+ 94%|█████████▍| 12.8M/13.6M [00:00<00:00, 134MB/s]
+100%|██████████| 13.6M/13.6M [00:00<00:00, 136MB/s]
</pre></div>
</div>
</section>
@@ -545,7 +546,7 @@ 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)
- 90.4647 90.4161 91.5291 89.7735 0.3520
+ 88.9047 88.7879 90.6897 88.5796 0.3289
</pre></div>
</div>
<div class="admonition note">
@@ -584,7 +585,7 @@ This includes support for the VNNI 8 bit dot product instruction (CascadeLake or
<section id="deploy-a-quantized-tflite-model">
<h2>Deploy a quantized TFLite Model<a class="headerlink" href="#deploy-a-quantized-tflite-model" title="Link to this heading"></a></h2>
<p>TODO</p>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (1 minutes 52.686 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (1 minutes 36.118 seconds)</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-deploy-models-deploy-prequantized-py">
<div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
<p><a class="reference download internal" download="" href="../../_downloads/c20f81a94729f461f33b52cc110fd9d6/deploy_prequantized.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">deploy_prequantized.ipynb</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 1550f621ce..39ae4c8a58 100644
--- a/docs/how_to/deploy_models/deploy_prequantized_tflite.html
+++ b/docs/how_to/deploy_models/deploy_prequantized_tflite.html
@@ -547,7 +547,7 @@ 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)
- 112.3656 112.3075 114.5278 111.6508 0.4215
+ 110.2761 110.1727 115.5153 109.6101 0.6321
</pre></div>
</div>
<div class="admonition note">
diff --git a/docs/how_to/deploy_models/sg_execution_times.html b/docs/how_to/deploy_models/sg_execution_times.html
index 17d15704fc..94421a71b1 100644
--- a/docs/how_to/deploy_models/sg_execution_times.html
+++ b/docs/how_to/deploy_models/sg_execution_times.html
@@ -308,7 +308,7 @@
<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="Link to this heading"></a></h1>
-<p><strong>12:20.887</strong> total execution time for 9 files <strong>from how_to/deploy_models</strong>:</p>
+<p><strong>10:25.722</strong> total execution time for 9 files <strong>from how_to/deploy_models</strong>:</p>
<div class="docutils container">
<style scoped>
<link href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/5.3.0/css/bootstrap.min.css" rel="stylesheet" />
@@ -330,39 +330,39 @@ $(document).ready( function () {
</thead>
<tbody>
<tr class="row-even"><td><p><a class="reference internal" href="deploy_object_detection_pytorch.html#sphx-glr-how-to-deploy-models-deploy-object-detection-pytorch-py"><span class="std std-ref">Compile PyTorch Object Detection Models</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_object_detection_pytorch.py</span></code>)</p></td>
-<td><p>04:37.081</p></td>
+<td><p>03:36.097</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="deploy_prequantized.html#sphx-glr-how-to-deploy-models-deploy-prequantized-py"><span class="std std-ref">Deploy a Framework-prequantized Model with TVM</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_prequantized.py</span></code>)</p></td>
-<td><p>01:52.686</p></td>
+<td><p>01:36.118</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="deploy_model_on_adreno.html#sphx-glr-how-to-deploy-models-deploy-model-on-adreno-py"><span class="std std-ref">Deploy the Pretrained Model on Adreno™</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_model_on_adreno.py</span></code>)</p></td>
-<td><p>01:25.280</p></td>
+<td><p>01:19.486</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="deploy_model_on_adreno_tvmc.html#sphx-glr-how-to-deploy-models-deploy-model-on-adreno-tvmc-py"><span class="std std-ref">Deploy the Pretrained Model on Adreno™ with tvmc Interface</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_model_on_adreno_tvmc.py</span></code>)</p></td>
-<td><p>01:14.549</p></td>
+<td><p>01:03.927</p></td>
<td><p>0.0</p></td>
</tr>
-<tr class="row-even"><td><p><a class="reference internal" href="deploy_model_on_android.html#sphx-glr-how-to-deploy-models-deploy-model-on-android-py"><span class="std std-ref">Deploy the Pretrained Model on Android</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_model_on_android.py</span></code>)</p></td>
-<td><p>01:02.676</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="deploy_prequantized_tflite.html#sphx-glr-how-to-deploy-models-deploy-prequantized-tflite-py"><span class="std std-ref">Deploy a Framework-prequantized Model with TVM - Part 3 (TFLite)</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_prequantized_tflite.py</span></code>)</p></td>
+<td><p>00:54.256</p></td>
<td><p>0.0</p></td>
</tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="deploy_prequantized_tflite.html#sphx-glr-how-to-deploy-models-deploy-prequantized-tflite-py"><span class="std std-ref">Deploy a Framework-prequantized Model with TVM - Part 3 (TFLite)</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_prequantized_tflite.py</span></code>)</p></td>
-<td><p>00:58.365</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="deploy_model_on_android.html#sphx-glr-how-to-deploy-models-deploy-model-on-android-py"><span class="std std-ref">Deploy the Pretrained Model on Android</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_model_on_android.py</span></code>)</p></td>
+<td><p>00:54.107</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="deploy_model_on_nano.html#sphx-glr-how-to-deploy-models-deploy-model-on-nano-py"><span class="std std-ref">Deploy the Pretrained Model on Jetson Nano</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_model_on_nano.py</span></code>)</p></td>
-<td><p>00:35.292</p></td>
+<td><p>00:30.989</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="deploy_model_on_rasp.html#sphx-glr-how-to-deploy-models-deploy-model-on-rasp-py"><span class="std std-ref">Deploy the Pretrained Model on Raspberry Pi</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_model_on_rasp.py</span></code>)</p></td>
-<td><p>00:34.953</p></td>
+<td><p>00:30.736</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="deploy_sparse.html#sphx-glr-how-to-deploy-models-deploy-sparse-py"><span class="std std-ref">Deploy a Hugging Face Pruned Model on CPU</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_sparse.py</span></code>)</p></td>
-<td><p>00:00.007</p></td>
+<td><p>00:00.006</p></td>
<td><p>0.0</p></td>
</tr>
</tbody>
diff --git a/docs/how_to/extend_tvm/sg_execution_times.html b/docs/how_to/extend_tvm/sg_execution_times.html
index a883183c5b..bdcedf1e3c 100644
--- a/docs/how_to/extend_tvm/sg_execution_times.html
+++ b/docs/how_to/extend_tvm/sg_execution_times.html
@@ -308,7 +308,7 @@
<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="Link to this heading"></a></h1>
-<p><strong>00:05.309</strong> total execution time for 3 files <strong>from how_to/extend_tvm</strong>:</p>
+<p><strong>00:04.365</strong> total execution time for 3 files <strong>from how_to/extend_tvm</strong>:</p>
<div class="docutils container">
<style scoped>
<link href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/5.3.0/css/bootstrap.min.css" rel="stylesheet" />
@@ -330,15 +330,15 @@ $(document).ready( function () {
</thead>
<tbody>
<tr class="row-even"><td><p><a class="reference internal" href="use_pass_instrument.html#sphx-glr-how-to-extend-tvm-use-pass-instrument-py"><span class="std std-ref">How to Use TVM Pass Instrument</span></a> (<code class="docutils literal notranslate"><span class="pre">use_pass_instrument.py</span></code>)</p></td>
-<td><p>00:03.715</p></td>
+<td><p>00:03.010</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="use_pass_infra.html#sphx-glr-how-to-extend-tvm-use-pass-infra-py"><span class="std std-ref">How to Use TVM Pass Infra</span></a> (<code class="docutils literal notranslate"><span class="pre">use_pass_infra.py</span></code>)</p></td>
-<td><p>00:01.585</p></td>
+<td><p>00:01.347</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="low_level_custom_pass.html#sphx-glr-how-to-extend-tvm-low-level-custom-pass-py"><span class="std std-ref">Writing a Customized Pass</span></a> (<code class="docutils literal notranslate"><span class="pre">low_level_custom_pass.py</span></code>)</p></td>
-<td><p>00:00.009</p></td>
+<td><p>00:00.007</p></td>
<td><p>0.0</p></td>
</tr>
</tbody>
diff --git a/docs/how_to/extend_tvm/use_pass_instrument.html b/docs/how_to/extend_tvm/use_pass_instrument.html
index 89b2a854f9..54a13581f9 100644
--- a/docs/how_to/extend_tvm/use_pass_instrument.html
+++ b/docs/how_to/extend_tvm/use_pass_instrument.html
@@ -492,10 +492,10 @@ 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: 27711us [27711us] (48.67%; 48.67%)
-FoldScaleAxis: 29220us [17us] (51.33%; 51.33%)
- FoldConstant: 29203us [2103us] (51.30%; 99.94%)
- InferType: 27100us [27100us] (47.60%; 92.80%)
+InferType: 25451us [25451us] (48.44%; 48.44%)
+FoldScaleAxis: 27093us [11us] (51.56%; 51.56%)
+ FoldConstant: 27081us [1856us] (51.54%; 99.96%)
+ InferType: 25226us [25226us] (48.01%; 93.15%)
</pre></div>
</div>
</section>
@@ -517,10 +517,10 @@ 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: 27511us [27511us] (48.39%; 48.39%)
-FoldScaleAxis: 29339us [15us] (51.61%; 51.61%)
- FoldConstant: 29324us [2311us] (51.58%; 99.95%)
- InferType: 27014us [27014us] (47.52%; 92.12%)
+InferType: 25182us [25182us] (48.14%; 48.14%)
+FoldScaleAxis: 27127us [11us] (51.86%; 51.86%)
+ FoldConstant: 27116us [1898us] (51.84%; 99.96%)
+ InferType: 25219us [25219us] (48.21%; 93.00%)
</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 98c5f0a011..f458251c5e 100644
--- a/docs/how_to/optimize_operators/opt_conv_cuda.html
+++ b/docs/how_to/optimize_operators/opt_conv_cuda.html
@@ -545,7 +545,7 @@ 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: 53.387294 ms
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Convolution: 38.999359 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 5ac17a5da0..e748f8ed0a 100644
--- a/docs/how_to/optimize_operators/opt_conv_tensorcore.html
+++ b/docs/how_to/optimize_operators/opt_conv_tensorcore.html
@@ -824,7 +824,7 @@ be able to run on our build server</p>
<span class="nb">print</span><span class="p">(</span><span class="s2">"conv2d with tensor core: </span><span class="si">%f</span><span class="s2"> ms"</span> <span class="o">%</span> <span class="p">(</span><span class="n">evaluator</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">w</span><span class="p">,</span> <span class="n">c</span><span class="p">)</span><span class="o">.</span><span class="n">mean</span> <span class="o">* [...]
</pre></div>
</div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>conv2d with tensor core: 12.222675 ms
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>conv2d with tensor core: 11.471127 ms
</pre></div>
</div>
</section>
diff --git a/docs/how_to/optimize_operators/opt_gemm.html b/docs/how_to/optimize_operators/opt_gemm.html
index 4970cb1d9d..3069b5c346 100644
--- a/docs/how_to/optimize_operators/opt_gemm.html
+++ b/docs/how_to/optimize_operators/opt_gemm.html
@@ -439,8 +439,8 @@ 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: 0.020132
-Baseline: 3.561228
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Numpy running time: 0.018266
+Baseline: 3.279227
</pre></div>
</div>
<p>In TVM, we can always inspect lower level IR to debug or optimize our schedule.
@@ -499,7 +499,7 @@ 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: 0.325028
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt1: 0.287681
</pre></div>
</div>
<p>Here is the generated IR after blocking.</p>
@@ -556,7 +556,7 @@ 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: 0.321507
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt2: 0.273230
</pre></div>
</div>
<p>Here is the generated IR after vectorization.</p>
@@ -611,7 +611,7 @@ 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: 0.138312
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt3: 0.116967
</pre></div>
</div>
<p>Here is the generated IR after loop permutation.</p>
@@ -688,7 +688,7 @@ 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: 0.108651
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt4: 0.107285
</pre></div>
</div>
<p>Here is the generated IR after array packing.</p>
@@ -766,7 +766,7 @@ 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: 0.114245
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt5: 0.112015
</pre></div>
</div>
<p>Here is the generated IR after blocking.</p>
@@ -846,7 +846,7 @@ 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: 0.136407
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Opt6: 0.134017
</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 e5cd963643..cae5e057e8 100644
--- a/docs/how_to/optimize_operators/sg_execution_times.html
+++ b/docs/how_to/optimize_operators/sg_execution_times.html
@@ -308,7 +308,7 @@
<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="Link to this heading"></a></h1>
-<p><strong>00:36.947</strong> total execution time for 3 files <strong>from how_to/optimize_operators</strong>:</p>
+<p><strong>00:33.597</strong> total execution time for 3 files <strong>from how_to/optimize_operators</strong>:</p>
<div class="docutils container">
<style scoped>
<link href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/5.3.0/css/bootstrap.min.css" rel="stylesheet" />
@@ -330,15 +330,15 @@ $(document).ready( function () {
</thead>
<tbody>
<tr class="row-even"><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>00:33.693</p></td>
+<td><p>00:30.389</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-odd"><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>00:02.043</p></td>
+<td><p>00:02.029</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-even"><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>00:01.211</p></td>
+<td><p>00:01.178</p></td>
<td><p>0.0</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 bba63227f7..ee968fb9ca 100644
--- a/docs/how_to/tune_with_autoscheduler/sg_execution_times.html
+++ b/docs/how_to/tune_with_autoscheduler/sg_execution_times.html
@@ -308,7 +308,7 @@
<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="Link to this heading"></a></h1>
-<p><strong>04:09.845</strong> total execution time for 6 files <strong>from how_to/tune_with_autoscheduler</strong>:</p>
+<p><strong>03:49.737</strong> total execution time for 6 files <strong>from how_to/tune_with_autoscheduler</strong>:</p>
<div class="docutils container">
<style scoped>
<link href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/5.3.0/css/bootstrap.min.css" rel="stylesheet" />
@@ -330,27 +330,27 @@ $(document).ready( function () {
</thead>
<tbody>
<tr class="row-even"><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>01:50.828</p></td>
+<td><p>01:39.201</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-odd"><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>01:18.567</p></td>
+<td><p>01:15.539</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-even"><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>00:22.988</p></td>
+<td><p>00:21.468</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-odd"><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>00:22.309</p></td>
+<td><p>00:18.476</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-even"><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>00:15.041</p></td>
+<td><p>00:14.953</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-odd"><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>00:00.111</p></td>
+<td><p>00:00.101</p></td>
<td><p>0.0</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 8c4342e29e..6a7b0fec9d 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
@@ -979,7 +979,7 @@ 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: 0.333 ms
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Execution time of this operator: 0.340 ms
</pre></div>
</div>
</section>
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 0a1bf75a03..8cc1ac536c 100644
--- a/docs/how_to/tune_with_autoscheduler/tune_network_cuda.html
+++ b/docs/how_to/tune_with_autoscheduler/tune_network_cuda.html
@@ -869,7 +869,7 @@ 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)
- 3.2050 3.2051 3.2053 3.2046 0.0003
+ 3.2015 3.1937 3.2174 3.1936 0.0112
</pre></div>
</div>
</section>
@@ -891,7 +891,7 @@ 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 18.567 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (1 minutes 15.539 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-jupyter docutils container">
<p><a class="reference download internal" download="" href="../../_downloads/af264436d049e3cd84803b67b6620b63/tune_network_cuda.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">tune_network_cuda.ipynb</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 6ff07bcbc3..1c10bbcd70 100644
--- a/docs/how_to/tune_with_autoscheduler/tune_network_x86.html
+++ b/docs/how_to/tune_with_autoscheduler/tune_network_x86.html
@@ -891,7 +891,7 @@ 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)
- 816.5139 809.0708 832.1539 808.3170 11.0635
+ 764.7796 764.9953 766.6462 762.6972 1.6194
</pre></div>
</div>
</section>
@@ -913,7 +913,7 @@ 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 50.828 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (1 minutes 39.201 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-jupyter docutils container">
<p><a class="reference download internal" download="" href="../../_downloads/ad2a7f55d615d188ad664d56696815a6/tune_network_x86.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">tune_network_x86.ipynb</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 2f50b62870..70850917cf 100644
--- a/docs/how_to/tune_with_autotvm/sg_execution_times.html
+++ b/docs/how_to/tune_with_autotvm/sg_execution_times.html
@@ -308,7 +308,7 @@
<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="Link to this heading"></a></h1>
-<p><strong>00:23.116</strong> total execution time for 5 files <strong>from how_to/tune_with_autotvm</strong>:</p>
+<p><strong>00:23.022</strong> total execution time for 5 files <strong>from how_to/tune_with_autotvm</strong>:</p>
<div class="docutils container">
<style scoped>
<link href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/5.3.0/css/bootstrap.min.css" rel="stylesheet" />
@@ -330,11 +330,11 @@ $(document).ready( function () {
</thead>
<tbody>
<tr class="row-even"><td><p><a class="reference internal" href="tune_conv2d_cuda.html#sphx-glr-how-to-tune-with-autotvm-tune-conv2d-cuda-py"><span class="std std-ref">Tuning High Performance Convolution on NVIDIA GPUs</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_conv2d_cuda.py</span></code>)</p></td>
-<td><p>00:23.079</p></td>
+<td><p>00:22.988</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="tune_relay_x86.html#sphx-glr-how-to-tune-with-autotvm-tune-relay-x86-py"><span class="std std-ref">Auto-tuning a Convolutional Network for x86 CPU</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_relay_x86.py</span></code>)</p></td>
-<td><p>00:00.023</p></td>
+<td><p>00:00.020</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="tune_relay_arm.html#sphx-glr-how-to-tune-with-autotvm-tune-relay-arm-py"><span class="std std-ref">Auto-tuning a Convolutional Network for ARM CPU</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_relay_arm.py</span></code>)</p></td>
@@ -346,7 +346,7 @@ $(document).ready( function () {
<td><p>0.0</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="tune_relay_cuda.html#sphx-glr-how-to-tune-with-autotvm-tune-relay-cuda-py"><span class="std std-ref">Auto-tuning a Convolutional Network for NVIDIA GPU</span></a> (<code class="docutils literal notranslate"><span class="pre">tune_relay_cuda.py</span></code>)</p></td>
-<td><p>00:00.005</p></td>
+<td><p>00:00.004</p></td>
<td><p>0.0</p></td>
</tr>
</tbody>
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 74b82b8402..4a92a65a45 100644
--- a/docs/how_to/tune_with_autotvm/tune_conv2d_cuda.html
+++ b/docs/how_to/tune_with_autotvm/tune_conv2d_cuda.html
@@ -577,7 +577,7 @@ and measure running time.</p>
Best config:
,None
-Time cost of this operator: 0.037321
+Time cost of this operator: 0.036960
</pre></div>
</div>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-tune-with-autotvm-tune-conv2d-cuda-py">
diff --git a/docs/how_to/tutorials/cross_compilation_and_rpc.html b/docs/how_to/tutorials/cross_compilation_and_rpc.html
index 655bb10268..0494a60568 100644
--- a/docs/how_to/tutorials/cross_compilation_and_rpc.html
+++ b/docs/how_to/tutorials/cross_compilation_and_rpc.html
@@ -489,7 +489,7 @@ 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>1.484e-07 secs/op
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>1.888e-07 secs/op
</pre></div>
</div>
</section>
diff --git a/docs/how_to/tutorials/optimize_llm.html b/docs/how_to/tutorials/optimize_llm.html
index 7ff020da02..871190d797 100644
--- a/docs/how_to/tutorials/optimize_llm.html
+++ b/docs/how_to/tutorials/optimize_llm.html
@@ -914,7 +914,7 @@ IRModule to generate the token.</p>
<span class="nb">print</span><span class="p">(</span><span class="n">tokenizer</span><span class="o">.</span><span class="n">decode</span><span class="p">(</span><span class="n">output_tokens</span><span class="p">))</span>
</pre></div>
</div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (2 minutes 37.541 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (1 minutes 20.942 seconds)</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-tutorials-optimize-llm-py">
<div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
<p><a class="reference download internal" download="" href="../../_downloads/ab03cb35cd7f92b5425a8974fcab921a/optimize_llm.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">optimize_llm.ipynb</span></code></a></p>
diff --git a/docs/how_to/tutorials/sg_execution_times.html b/docs/how_to/tutorials/sg_execution_times.html
index fd391f3823..df0c3f2ad4 100644
--- a/docs/how_to/tutorials/sg_execution_times.html
+++ b/docs/how_to/tutorials/sg_execution_times.html
@@ -308,7 +308,7 @@
<section id="computation-times">
<span id="sphx-glr-how-to-tutorials-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Link to this heading"></a></h1>
-<p><strong>02:42.698</strong> total execution time for 4 files <strong>from how_to/tutorials</strong>:</p>
+<p><strong>01:25.231</strong> total execution time for 4 files <strong>from how_to/tutorials</strong>:</p>
<div class="docutils container">
<style scoped>
<link href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/5.3.0/css/bootstrap.min.css" rel="stylesheet" />
@@ -330,19 +330,19 @@ $(document).ready( function () {
</thead>
<tbody>
<tr class="row-even"><td><p><a class="reference internal" href="optimize_llm.html#sphx-glr-how-to-tutorials-optimize-llm-py"><span class="std std-ref">Optimize Large Language Model</span></a> (<code class="docutils literal notranslate"><span class="pre">optimize_llm.py</span></code>)</p></td>
-<td><p>02:37.541</p></td>
+<td><p>01:20.942</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="e2e_opt_model.html#sphx-glr-how-to-tutorials-e2e-opt-model-py"><span class="std std-ref">End-to-End Optimize Model</span></a> (<code class="docutils literal notranslate"><span class="pre">e2e_opt_model.py</span></code>)</p></td>
-<td><p>00:03.018</p></td>
+<td><p>00:02.667</p></td>
<td><p>0.0</p></td>
</tr>
-<tr class="row-even"><td><p><a class="reference internal" href="cross_compilation_and_rpc.html#sphx-glr-how-to-tutorials-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>00:01.088</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="customize_opt.html#sphx-glr-how-to-tutorials-customize-opt-py"><span class="std std-ref">Customize Optimization</span></a> (<code class="docutils literal notranslate"><span class="pre">customize_opt.py</span></code>)</p></td>
+<td><p>00:00.847</p></td>
<td><p>0.0</p></td>
</tr>
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diff --git a/docs/how_to/work_with_microtvm/micro_autotune.html b/docs/how_to/work_with_microtvm/micro_autotune.html
index 27997a770d..512f45ad72 100644
--- a/docs/how_to/work_with_microtvm/micro_autotune.html
+++ b/docs/how_to/work_with_microtvm/micro_autotune.html
@@ -611,10 +611,10 @@ the tuned operator.</p>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>########## Build without Autotuning ##########
Node Name Ops Time(us) Time(%) Shape Inputs Outputs Measurements(us)
--------- --- -------- ------- ----- ------ ------- ----------------
-tvmgen_default_fused_nn_contrib_conv2d_NCHWc tvmgen_default_fused_nn_contrib_conv2d_NCHWc 308.3 98.676 (1, 2, 10, 10, 3) 2 1 [308.3]
-tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 3.146 1.007 (1, 6, 10, 10) 1 1 [3.146]
-tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.991 0.317 (1, 1, 10, 10, 3) 1 1 [0.991]
-Total_time - 312.436 - - - - -
+tvmgen_default_fused_nn_contrib_conv2d_NCHWc tvmgen_default_fused_nn_contrib_conv2d_NCHWc 302.7 98.737 (1, 2, 10, 10, 3) 2 1 [302.7]
+tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 2.907 0.948 (1, 6, 10, 10) 1 1 [2.907]
+tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.964 0.314 (1, 1, 10, 10, 3) 1 1 [0.964]
+Total_time - 306.571 - - - - -
</pre></div>
</div>
</section>
@@ -666,13 +666,13 @@ 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 103.2 97.506 (1, 6, 10, 10, 1) 2 1 [103.2]
-tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 1.785 1.687 (1, 6, 10, 10) 1 1 [1.785]
-tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.855 0.807 (1, 3, 10, 10, 1) 1 1 [0.855]
-Total_time - 105.84 - - - - -
+tvmgen_default_fused_nn_contrib_conv2d_NCHWc tvmgen_default_fused_nn_contrib_conv2d_NCHWc 135.6 98.0 (1, 6, 10, 10, 1) 2 1 [135.6]
+tvmgen_default_fused_layout_transform_1 tvmgen_default_fused_layout_transform_1 1.812 1.31 (1, 6, 10, 10) 1 1 [1.812]
+tvmgen_default_fused_layout_transform tvmgen_default_fused_layout_transform 0.955 0.69 (1, 1, 10, 10, 3) 1 1 [0.955]
+Total_time - 138.368 - - - - -
</pre></div>
</div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (1 minutes 40.831 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (1 minutes 28.738 seconds)</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-work-with-microtvm-micro-autotune-py">
<div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
<p><a class="reference download internal" download="" href="../../_downloads/f83ba3df2d52f9b54cf141114359481a/micro_autotune.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">micro_autotune.ipynb</span></code></a></p>
diff --git a/docs/how_to/work_with_microtvm/micro_pytorch.html b/docs/how_to/work_with_microtvm/micro_pytorch.html
index 11954b0cbc..dd5b4cce92 100644
--- a/docs/how_to/work_with_microtvm/micro_pytorch.html
+++ b/docs/how_to/work_with_microtvm/micro_pytorch.html
@@ -422,7 +422,7 @@ download a cat image and preprocess it to use as the model input.</p>
Downloading: "https://download.pytorch.org/models/quantized/mobilenet_v2_qnnpack_37f702c5.pth" to /workspace/.cache/torch/hub/checkpoints/mobilenet_v2_qnnpack_37f702c5.pth
0%| | 0.00/3.42M [00:00<?, ?B/s]
-100%|██████████| 3.42M/3.42M [00:00<00:00, 55.0MB/s]
+100%|██████████| 3.42M/3.42M [00:00<00:00, 81.2MB/s]
</pre></div>
</div>
</section>
@@ -544,7 +544,7 @@ via the host <cite>main.cc`</cite> or if a Zephyr emulated board is selected as
Torch top-1 id: 282, class name: tiger cat
</pre></div>
</div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (1 minutes 46.172 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (1 minutes 34.071 seconds)</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-work-with-microtvm-micro-pytorch-py">
<div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
<p><a class="reference download internal" download="" href="../../_downloads/09df7d9b9c90a2a1bdd570520693fd9f/micro_pytorch.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">micro_pytorch.ipynb</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 b028dd464c..16dc256b76 100644
--- a/docs/how_to/work_with_microtvm/micro_train.html
+++ b/docs/how_to/work_with_microtvm/micro_train.html
@@ -491,7 +491,7 @@ 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/tmp7rv4p5iq/images/random'
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>'/tmp/tmpytdp6g02/images/random'
</pre></div>
</div>
</section>
@@ -551,8 +551,8 @@ objects to other stuff? We can display some examples from our datasets using <co
<span class="n">plt</span><span class="o">.</span><span class="n">axis</span><span class="p">(</span><span class="s2">"off"</span><span class="p">)</span>
</pre></div>
</div>
-<img src="../../_images/sphx_glr_micro_train_001.png" srcset="../../_images/sphx_glr_micro_train_001.png" alt="[1.0, 0.0], [1.0, 0.0], [1.0, 0.0], [0.0, 1.0], [0.0, 1.0], [0.0, 1.0], [0.0, 1.0], [0.0, 1.0], [1.0, 0.0], [0.0, 1.0]" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/tmp/tmp7rv4p5iq/images/target contains 8144 images
-/tmp/tmp7rv4p5iq/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/tmpytdp6g02/images/target contains 8144 images
+/tmp/tmpytdp6g02/images/random contains 5000 images
</pre></div>
</div>
</section>
@@ -664,13 +664,13 @@ 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 - 50s - loss: 0.2263 - accuracy: 0.9216 - val_loss: 0.1879 - val_accuracy: 0.9264 - 50s/epoch - 153ms/step
+328/328 - 47s - loss: 0.2569 - accuracy: 0.9152 - val_loss: 0.1125 - val_accuracy: 0.9607 - 47s/epoch - 144ms/step
Epoch 2/3
-328/328 - 46s - loss: 0.1067 - accuracy: 0.9610 - val_loss: 0.0901 - val_accuracy: 0.9675 - 46s/epoch - 141ms/step
+328/328 - 44s - loss: 0.1058 - accuracy: 0.9608 - val_loss: 0.0984 - val_accuracy: 0.9645 - 44s/epoch - 135ms/step
Epoch 3/3
-328/328 - 47s - loss: 0.0713 - accuracy: 0.9728 - val_loss: 0.0927 - val_accuracy: 0.9690 - 47s/epoch - 143ms/step
+328/328 - 44s - loss: 0.0678 - accuracy: 0.9750 - val_loss: 0.1027 - val_accuracy: 0.9668 - 44s/epoch - 134ms/step
-<keras.callbacks.History object at 0x7f4bd889b580>
+<keras.callbacks.History object at 0x7fcec5398c10>
</pre></div>
</div>
</section>
@@ -935,7 +935,7 @@ as intended.</p>
<p>From here, we could modify the model to read live images from the camera - we have another
Arduino tutorial for how to do that <a class="reference external" href="https://github.com/guberti/tvm-arduino-demos/tree/master/examples/person_detection">on GitHub</a>. Alternatively, we could also
<a class="reference external" href="https://tvm.apache.org/docs/how_to/work_with_microtvm/micro_autotune.html">use TVM’s autotuning capabilities</a> to dramatically improve the model’s performance.</p>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (4 minutes 57.988 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (4 minutes 57.964 seconds)</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-how-to-work-with-microtvm-micro-train-py">
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<p><a class="reference download internal" download="" href="../../_downloads/a7c7ea4b5017ae70db1f51dd8e6dcd82/micro_train.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">micro_train.ipynb</span></code></a></p>
diff --git a/docs/how_to/work_with_microtvm/sg_execution_times.html b/docs/how_to/work_with_microtvm/sg_execution_times.html
index 4338819190..8f00ea43af 100644
--- a/docs/how_to/work_with_microtvm/sg_execution_times.html
+++ b/docs/how_to/work_with_microtvm/sg_execution_times.html
@@ -308,7 +308,7 @@
<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="Link to this heading"></a></h1>
-<p><strong>09:01.720</strong> total execution time for 9 files <strong>from how_to/work_with_microtvm</strong>:</p>
+<p><strong>08:32.446</strong> total execution time for 9 files <strong>from how_to/work_with_microtvm</strong>:</p>
<div class="docutils container">
<style scoped>
<link href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/5.3.0/css/bootstrap.min.css" rel="stylesheet" />
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</thead>
<tbody>
<tr class="row-even"><td><p><a class="reference internal" href="micro_train.html#sphx-glr-how-to-work-with-microtvm-micro-train-py"><span class="std std-ref">5. Training Vision Models for microTVM on Arduino</span></a> (<code class="docutils literal notranslate"><span class="pre">micro_train.py</span></code>)</p></td>
-<td><p>04:57.988</p></td>
+<td><p>04:57.964</p></td>
<td><p>0.0</p></td>
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<tr class="row-odd"><td><p><a class="reference internal" href="micro_pytorch.html#sphx-glr-how-to-work-with-microtvm-micro-pytorch-py"><span class="std std-ref">4. microTVM PyTorch Tutorial</span></a> (<code class="docutils literal notranslate"><span class="pre">micro_pytorch.py</span></code>)</p></td>
-<td><p>01:46.172</p></td>
+<td><p>01:34.071</p></td>
<td><p>0.0</p></td>
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<tr class="row-even"><td><p><a class="reference internal" href="micro_autotune.html#sphx-glr-how-to-work-with-microtvm-micro-autotune-py"><span class="std std-ref">6. Model Tuning with microTVM</span></a> (<code class="docutils literal notranslate"><span class="pre">micro_autotune.py</span></code>)</p></td>
-<td><p>01:40.831</p></td>
+<td><p>01:28.738</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="micro_aot.html#sphx-glr-how-to-work-with-microtvm-micro-aot-py"><span class="std std-ref">3. microTVM Ahead-of-Time (AOT) Compilation</span></a> (<code class="docutils literal notranslate"><span class="pre">micro_aot.py</span></code>)</p></td>
-<td><p>00:14.386</p></td>
+<td><p>00:12.530</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="micro_custom_ide.html#sphx-glr-how-to-work-with-microtvm-micro-custom-ide-py"><span class="std std-ref">9. Bring microTVM to your own development environment</span></a> (<code class="docutils literal notranslate"><span class="pre">micro_custom_ide.py</span></code>)</p></td>
-<td><p>00:12.820</p></td>
+<td><p>00:10.956</p></td>
<td><p>0.0</p></td>
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<tr class="row-odd"><td><p><a class="reference internal" href="micro_tflite.html#sphx-glr-how-to-work-with-microtvm-micro-tflite-py"><span class="std std-ref">2. microTVM TFLite Tutorial</span></a> (<code class="docutils literal notranslate"><span class="pre">micro_tflite.py</span></code>)</p></td>
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+<td><p>00:08.186</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="micro_ethosu.html#sphx-glr-how-to-work-with-microtvm-micro-ethosu-py"><span class="std std-ref">7. Running TVM on bare metal Arm(R) Cortex(R)-M55 CPU and Ethos(TM)-U55 NPU with CMSIS-NN</span></a> (<code class="docutils literal notranslate"><span class="pre">micro_ethosu.py</span></code>)</p></td>
diff --git a/docs/how_to/work_with_relay/sg_execution_times.html b/docs/how_to/work_with_relay/sg_execution_times.html
index 1d860e4a32..44b8b381c7 100644
--- a/docs/how_to/work_with_relay/sg_execution_times.html
+++ b/docs/how_to/work_with_relay/sg_execution_times.html
@@ -308,7 +308,7 @@
<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="Link to this heading"></a></h1>
-<p><strong>00:43.179</strong> total execution time for 4 files <strong>from how_to/work_with_relay</strong>:</p>
+<p><strong>00:40.879</strong> total execution time for 4 files <strong>from how_to/work_with_relay</strong>:</p>
<div class="docutils container">
<style scoped>
<link href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/5.3.0/css/bootstrap.min.css" rel="stylesheet" />
@@ -330,19 +330,19 @@ $(document).ready( function () {
</thead>
<tbody>
<tr class="row-even"><td><p><a class="reference internal" href="using_pipeline_executor.html#sphx-glr-how-to-work-with-relay-using-pipeline-executor-py"><span class="std std-ref">Using Pipeline Executor in Relay</span></a> (<code class="docutils literal notranslate"><span class="pre">using_pipeline_executor.py</span></code>)</p></td>
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<td><p>0.0</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="using_external_lib.html#sphx-glr-how-to-work-with-relay-using-external-lib-py"><span class="std std-ref">Using External Libraries in Relay</span></a> (<code class="docutils literal notranslate"><span class="pre">using_external_lib.py</span></code>)</p></td>
-<td><p>00:04.011</p></td>
+<td><p>00:03.839</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="build_gcn.html#sphx-glr-how-to-work-with-relay-build-gcn-py"><span class="std std-ref">Building a Graph Convolutional Network</span></a> (<code class="docutils literal notranslate"><span class="pre">build_gcn.py</span></code>)</p></td>
-<td><p>00:02.252</p></td>
+<td><p>00:02.093</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="using_relay_viz.html#sphx-glr-how-to-work-with-relay-using-relay-viz-py"><span class="std std-ref">Use Relay Visualizer to Visualize Relay</span></a> (<code class="docutils literal notranslate"><span class="pre">using_relay_viz.py</span></code>)</p></td>
-<td><p>00:00.007</p></td>
+<td><p>00:00.005</p></td>
<td><p>0.0</p></td>
</tr>
</tbody>
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 3dba1bfadb..7c12f5ad2b 100644
--- a/docs/how_to/work_with_schedules/sg_execution_times.html
+++ b/docs/how_to/work_with_schedules/sg_execution_times.html
@@ -308,7 +308,7 @@
<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="Link to this heading"></a></h1>
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<div class="docutils container">
<style scoped>
<link href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/5.3.0/css/bootstrap.min.css" rel="stylesheet" />
@@ -330,31 +330,31 @@ $(document).ready( function () {
</thead>
<tbody>
<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>
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<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>
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<td><p>0.0</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>
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<td><p>0.0</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>
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<td><p>0.0</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>
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<td><p>0.0</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>00:00.074</p></td>
+<td><p>00:00.064</p></td>
<td><p>0.0</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>00:00.036</p></td>
+<td><p>00:00.032</p></td>
<td><p>0.0</p></td>
</tr>
</tbody>
diff --git a/docs/reference/api/python/auto_scheduler.html b/docs/reference/api/python/auto_scheduler.html
index 5c023f6d36..e25cc48f40 100644
--- a/docs/reference/api/python/auto_scheduler.html
+++ b/docs/reference/api/python/auto_scheduler.html
@@ -1642,7 +1642,7 @@ 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><span class="w"> </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></ [...]
+<em class="property"><span class="pre">class</span><span class="w"> </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></ [...]
<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>
@@ -1915,7 +1915,7 @@ 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 991c8e9df5..4a54cc2960 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/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/92e2bba08/web/src/artifact_cache.ts#L90">artifact_cache.ts:90</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/artifact_cache.ts#L90">artifact_cache.ts:90</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">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/92e2bba08/web/src/artifact_cache.ts#L94">artifact_cache.ts:94</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/artifact_cache.ts#L94">artifact_cache.ts:94</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="addToCache" class="tsd-anchor"></a>
@@ -83,7 +83,7 @@
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol"><</span><span class="tsd-signature-type">void</span><span class="tsd-signature-symbol">></span></h4><aside class="tsd-sources">
<p>Implementation of <a href="../interfaces/ArtifactCacheTemplate.html">ArtifactCacheTemplate</a>.<a href="../interfaces/ArtifactCacheTemplate.html#addToCache">addToCache</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/artifact_cache.ts#L132">artifact_cache.ts:132</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/artifact_cache.ts#L132">artifact_cache.ts:132</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="deleteInCache" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>delete<wbr/>In<wbr/>Cache</span><a href="#deleteInCache" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use 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 @@
<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">
<p>Implementation of <a href="../interfaces/ArtifactCacheTemplate.html">ArtifactCacheTemplate</a>.<a href="../interfaces/ArtifactCacheTemplate.html#deleteInCache">deleteInCache</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/artifact_cache.ts#L162">artifact_cache.ts:162</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/artifact_cache.ts#L162">artifact_cache.ts:162</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">
@@ -128,7 +128,7 @@
<aside class="tsd-sources">
<p>Implementation of <a href="../interfaces/ArtifactCacheTemplate.html">ArtifactCacheTemplate</a>.<a href="../interfaces/ArtifactCacheTemplate.html#fetchWithCache">fetchWithCache</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/artifact_cache.ts#L121">artifact_cache.ts:121</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/artifact_cache.ts#L121">artifact_cache.ts:121</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">
@@ -147,7 +147,7 @@
<aside class="tsd-sources">
<p>Implementation of <a href="../interfaces/ArtifactCacheTemplate.html">ArtifactCacheTemplate</a>.<a href="../interfaces/ArtifactCacheTemplate.html#hasAllKeys">hasAllKeys</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/artifact_cache.ts#L148">artifact_cache.ts:148</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/artifact_cache.ts#L148">artifact_cache.ts:148</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="responseTostoretype" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>response<wbr/>Tostoretype</span><a href="#responseTostoretype" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -164,7 +164,7 @@
<h5><code class="tsd-tag ts-flagOptional">Optional</code> <span class="tsd-kind-parameter">storetype</span>: <span class="tsd-signature-type">string</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol"><</span><span class="tsd-signature-type">any</span><span class="tsd-signature-symbol">></span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/artifact_cache.ts#L101">artifact_cache.ts:101</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/artifact_cache.ts#L101">artifact_cache.ts:101</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/ArtifactIndexedDBCache.html b/docs/reference/api/typedoc/classes/ArtifactIndexedDBCache.html
index e1bdf2135c..04452e2f02 100644
--- a/docs/reference/api/typedoc/classes/ArtifactIndexedDBCache.html
+++ b/docs/reference/api/typedoc/classes/ArtifactIndexedDBCache.html
@@ -27,7 +27,7 @@
<ul class="tsd-hierarchy">
<li><a href="../interfaces/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/92e2bba08/web/src/artifact_cache.ts#L173">artifact_cache.ts:173</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/artifact_cache.ts#L173">artifact_cache.ts:173</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
<section class="tsd-panel tsd-index-panel">
<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -60,7 +60,7 @@
<h5><span class="tsd-kind-parameter">dbName</span>: <span class="tsd-signature-type">string</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <a href="ArtifactIndexedDBCache.html" class="tsd-signature-type tsd-kind-class">ArtifactIndexedDBCache</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/artifact_cache.ts#L178">artifact_cache.ts:178</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/artifact_cache.ts#L178">artifact_cache.ts:178</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="addToCache" class="tsd-anchor"></a>
@@ -84,7 +84,7 @@
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol"><</span><span class="tsd-signature-type">void</span><span class="tsd-signature-symbol">></span></h4><aside class="tsd-sources">
<p>Implementation of <a href="../interfaces/ArtifactCacheTemplate.html">ArtifactCacheTemplate</a>.<a href="../interfaces/ArtifactCacheTemplate.html#addToCache">addToCache</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/artifact_cache.ts#L288">artifact_cache.ts:288</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/artifact_cache.ts#L288">artifact_cache.ts:288</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="addToIndexedDB" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>add<wbr/>To<wbr/>IndexedDB</span><a href="#addToIndexedDB" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use 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 @@
<h5><code class="tsd-tag ts-flagOptional">Optional</code> <span class="tsd-kind-parameter">storetype</span>: <span class="tsd-signature-type">string</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol"><</span><span class="tsd-signature-type">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/92e2bba08/web/src/artifact_cache.ts#L263">artifact_cache.ts:263</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/artifact_cache.ts#L263">artifact_cache.ts:263</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="asyncGetHelper" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>async<wbr/>Get<wbr/>Helper</span><a href="#asyncGetHelper" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use 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">url</span>: <span class="tsd-signature-type">string</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol"><</span><span class="tsd-signature-type">any</span><span class="tsd-signature-symbol">></span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/artifact_cache.ts#L230">artifact_cache.ts:230</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/artifact_cache.ts#L230">artifact_cache.ts:230</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="deleteInCache" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>delete<wbr/>In<wbr/>Cache</span><a href="#deleteInCache" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -132,7 +132,7 @@
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol"><</span><span class="tsd-signature-type">void</span><span class="tsd-signature-symbol">></span></h4><aside class="tsd-sources">
<p>Implementation of <a href="../interfaces/ArtifactCacheTemplate.html">ArtifactCacheTemplate</a>.<a href="../interfaces/ArtifactCacheTemplate.html#deleteInCache">deleteInCache</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/artifact_cache.ts#L339">artifact_cache.ts:339</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/artifact_cache.ts#L339">artifact_cache.ts:339</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">
@@ -156,7 +156,7 @@ cache, fetch the data and then add to cache.</p>
<aside class="tsd-sources">
<p>Implementation of <a href="../interfaces/ArtifactCacheTemplate.html">ArtifactCacheTemplate</a>.<a href="../interfaces/ArtifactCacheTemplate.html#fetchWithCache">fetchWithCache</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/artifact_cache.ts#L247">artifact_cache.ts:247</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/artifact_cache.ts#L247">artifact_cache.ts:247</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">
@@ -174,7 +174,7 @@ cache, fetch the data and then add to cache.</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">boolean</span><span class="tsd-signature-symbol">></span></h4><aside class="tsd-sources">
<p>Implementation of <a href="../interfaces/ArtifactCacheTemplate.html">ArtifactCacheTemplate</a>.<a href="../interfaces/ArtifactCacheTemplate.html#hasAllKeys">hasAllKeys</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/artifact_cache.ts#L307">artifact_cache.ts:307</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/artifact_cache.ts#L307">artifact_cache.ts:307</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 7663eb7e10..e4a00b892f 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/92e2bba08/web/src/runtime.ts#L425">runtime.ts:425</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L425">runtime.ts:425</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/92e2bba08/web/src/runtime.ts#L433">runtime.ts:433</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L433">runtime.ts:433</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/92e2bba08/web/src/runtime.ts#L429">runtime.ts:429</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L429">runtime.ts:429</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="code" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>code</span><a href="#code" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">code</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div>
<div class="tsd-comment tsd-typography"><p>The type code</p>
</div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/runtime.ts#L427">runtime.ts:427</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L427">runtime.ts:427</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/92e2bba08/web/src/runtime.ts#L431">runtime.ts:431</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L431">runtime.ts:431</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/92e2bba08/web/src/runtime.ts#L448">runtime.ts:448</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L448">runtime.ts:448</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="toString" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>to<wbr/>String</span><a href="#toString" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -103,7 +103,7 @@
<li class="tsd-description">
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">string</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/runtime.ts#L439">runtime.ts:439</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L439">runtime.ts:439</a></li></ul></aside></li></ul></section></section></div>
<div class="col-sidebar">
<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/DLDevice.html b/docs/reference/api/typedoc/classes/DLDevice.html
index a8be4911de..8dbc691086 100644
--- a/docs/reference/api/typedoc/classes/DLDevice.html
+++ b/docs/reference/api/typedoc/classes/DLDevice.html
@@ -23,7 +23,7 @@
<ul class="tsd-hierarchy">
<li><span class="target">DLDevice</span></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/runtime.ts#L365">runtime.ts:365</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L365">runtime.ts:365</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
<section class="tsd-panel tsd-index-panel">
<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -61,7 +61,7 @@
<h5><span class="tsd-kind-parameter">lib</span>: <a href="_internal_.FFILibrary.html" class="tsd-signature-type tsd-kind-class">FFILibrary</a></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <a href="DLDevice.html" class="tsd-signature-type tsd-kind-class">DLDevice</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/runtime.ts#L373">runtime.ts:373</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L373">runtime.ts:373</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Properties</h2>
<section class="tsd-panel tsd-member"><a id="deviceId" class="tsd-anchor"></a>
@@ -70,14 +70,14 @@
<div class="tsd-comment tsd-typography"><p>The device index.</p>
</div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/runtime.ts#L369">runtime.ts:369</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L369">runtime.ts:369</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/92e2bba08/web/src/runtime.ts#L367">runtime.ts:367</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L367">runtime.ts:367</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/92e2bba08/web/src/runtime.ts#L392">runtime.ts:392</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L392">runtime.ts:392</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/92e2bba08/web/src/runtime.ts#L399">runtime.ts:399</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L399">runtime.ts:399</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 9656e8ccdf..ac325d34dc 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/92e2bba08/web/src/runtime.ts#L1027">runtime.ts:1027</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L1027">runtime.ts:1027</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">
@@ -146,24 +146,24 @@ 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/92e2bba08/web/src/runtime.ts#L1059">runtime.ts:1059</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L1059">runtime.ts:1059</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/92e2bba08/web/src/runtime.ts#L1030">runtime.ts:1030</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L1030">runtime.ts:1030</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/92e2bba08/web/src/runtime.ts#L1029">runtime.ts:1029</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L1029">runtime.ts:1029</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/92e2bba08/web/src/runtime.ts#L1028">runtime.ts:1028</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L1028">runtime.ts:1028</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>
@@ -199,7 +199,7 @@ 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/92e2bba08/web/src/runtime.ts#L1833">runtime.ts:1833</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L1833">runtime.ts:1833</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">
@@ -224,7 +224,7 @@ 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/92e2bba08/web/src/runtime.ts#L1820">runtime.ts:1820</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L1820">runtime.ts:1820</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">
@@ -245,7 +245,7 @@ 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/92e2bba08/web/src/runtime.ts#L1850">runtime.ts:1850</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L1850">runtime.ts:1850</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">
@@ -262,7 +262,7 @@ 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/92e2bba08/web/src/runtime.ts#L2087">runtime.ts:2087</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L2087">runtime.ts:2087</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="asyncifyEnabled" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>asyncify<wbr/>Enabled</span><a href="#asyncifyEnabled" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -273,7 +273,7 @@ token_freqs[i] is the frequency of token_ids[i], for all i. And all token_freqs
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">boolean</span></h4><p>The asynctify mode toggle</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/runtime.ts#L1127">runtime.ts:1127</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L1127">runtime.ts:1127</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">
@@ -300,7 +300,7 @@ 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/92e2bba08/web/src/runtime.ts#L1195">runtime.ts:1195</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L1195">runtime.ts:1195</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="beginScope" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>begin<wbr/>Scope</span><a href="#beginScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -310,7 +310,7 @@ 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/92e2bba08/web/src/runtime.ts#L1154">runtime.ts:1154</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L1154">runtime.ts:1154</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="benchmark" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>benchmark</span><a href="#benchmark" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -345,7 +345,7 @@ 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/92e2bba08/web/src/runtime.ts#L1102">runtime.ts:1102</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L1102">runtime.ts:1102</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">
@@ -362,7 +362,7 @@ 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/92e2bba08/web/src/runtime.ts#L1858">runtime.ts:1858</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L1858">runtime.ts:1858</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">
@@ -372,7 +372,7 @@ 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/92e2bba08/web/src/runtime.ts#L1889">runtime.ts:1889</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L1889">runtime.ts:1889</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="concatEmbeddings" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>concat<wbr/>Embeddings</span><a href="#concatEmbeddings" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -388,7 +388,7 @@ 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="NDArray.html" class="tsd-signature-type tsd-kind-class">NDArray</a></h4><p>An NDArray of shape (\sum_{i} {m}, hidden_size)</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/runtime.ts#L1926">runtime.ts:1926</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L1926">runtime.ts:1926</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">
@@ -405,7 +405,7 @@ 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/92e2bba08/web/src/runtime.ts#L1700">runtime.ts:1700</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L1700">runtime.ts:1700</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">
@@ -423,7 +423,7 @@ 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/92e2bba08/web/src/runtime.ts#L1373">runtime.ts:1373</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L1373">runtime.ts:1373</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="detachFromCurrentScope" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>detach<wbr/>From<wbr/>Current<wbr/>Scope</span><a href="#detachFromCurrentScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -449,7 +449,7 @@ 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/92e2bba08/web/src/runtime.ts#L1222">runtime.ts:1222</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L1222">runtime.ts:1222</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="device" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>device</span><a href="#device" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -471,7 +471,7 @@ 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/92e2bba08/web/src/runtime.ts#L1692">runtime.ts:1692</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L1692">runtime.ts:1692</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">
@@ -484,7 +484,7 @@ 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/92e2bba08/web/src/runtime.ts#L1131">runtime.ts:1131</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L1131">runtime.ts:1131</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="empty" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>empty</span><a href="#empty" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -510,7 +510,7 @@ 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/92e2bba08/web/src/runtime.ts#L1720">runtime.ts:1720</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L1720">runtime.ts:1720</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">
@@ -523,7 +523,7 @@ 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/92e2bba08/web/src/runtime.ts#L1165">runtime.ts:1165</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L1165">runtime.ts:1165</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="fetchNDArrayCache" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>fetchNDArray<wbr/>Cache</span><a href="#fetchNDArrayCache" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -557,7 +557,7 @@ 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/92e2bba08/web/src/runtime.ts#L1462">runtime.ts:1462</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L1462">runtime.ts:1462</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">
@@ -575,7 +575,7 @@ 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/92e2bba08/web/src/runtime.ts#L1310">runtime.ts:1310</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L1310">runtime.ts:1310</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="getParamsFromCache" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get<wbr/>Params<wbr/>From<wbr/>Cache</span><a href="#getParamsFromCache" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -596,7 +596,7 @@ 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/92e2bba08/web/src/runtime.ts#L1401">runtime.ts:1401</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L1401">runtime.ts:1401</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="getParamsFromCacheByName" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get<wbr/>Params<wbr/>From<wbr/>Cache<wbr/>By<wbr/>Name</span><a href="#getParamsFromCacheByName" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -614,7 +614,7 @@ 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/92e2bba08/web/src/runtime.ts#L1412">runtime.ts:1412</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L1412">runtime.ts:1412</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="initWebGPU" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>init<wbr/>WebGPU</span><a href="#initWebGPU" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -631,7 +631,7 @@ 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/92e2bba08/web/src/runtime.ts#L2150">runtime.ts:2150</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L2150">runtime.ts:2150</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">
@@ -649,7 +649,7 @@ 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/92e2bba08/web/src/runtime.ts#L1345">runtime.ts:1345</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L1345">runtime.ts:1345</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="listGlobalFuncNames" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>list<wbr/>Global<wbr/>Func<wbr/>Names</span><a href="#listGlobalFuncNames" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -660,7 +660,7 @@ 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/92e2bba08/web/src/runtime.ts#L1238">runtime.ts:1238</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L1238">runtime.ts:1238</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="makeShapeTuple" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>make<wbr/>Shape<wbr/>Tuple</span><a href="#makeShapeTuple" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -678,7 +678,7 @@ 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/92e2bba08/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/7ae7ea836/web/src/runtime.ts#L1960">runtime.ts:1960</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">
@@ -696,7 +696,7 @@ 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/92e2bba08/web/src/runtime.ts#L1951">runtime.ts:1951</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L1951">runtime.ts:1951</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">
@@ -716,7 +716,7 @@ and needs to b explicitly disposed.</p>
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<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/runtime.ts#L1902">runtime.ts:1902</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L1902">runtime.ts:1902</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">
@@ -741,7 +741,7 @@ 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/92e2bba08/web/src/runtime.ts#L1208">runtime.ts:1208</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L1208">runtime.ts:1208</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="ndarrayCacheClear" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>ndarray<wbr/>Cache<wbr/>Clear</span><a href="#ndarrayCacheClear" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -751,7 +751,7 @@ 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/92e2bba08/web/src/runtime.ts#L1448">runtime.ts:1448</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L1448">runtime.ts:1448</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">
@@ -769,7 +769,7 @@ 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/92e2bba08/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/7ae7ea836/web/src/runtime.ts#L1421">runtime.ts:1421</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">
@@ -787,7 +787,7 @@ 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/92e2bba08/web/src/runtime.ts#L1430">runtime.ts:1430</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L1430">runtime.ts:1430</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">
@@ -810,7 +810,7 @@ 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/92e2bba08/web/src/runtime.ts#L1439">runtime.ts:1439</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L1439">runtime.ts:1439</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">
@@ -838,7 +838,7 @@ These functions contains explicit continuation</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/92e2bba08/web/src/runtime.ts#L2060">runtime.ts:2060</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L2060">runtime.ts:2060</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="registerAsyncifyFunc" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>register<wbr/>Asyncify<wbr/>Func</span><a href="#registerAsyncifyFunc" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -877,7 +877,7 @@ The wasm needs to be compiled with Asynctify</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/92e2bba08/web/src/runtime.ts#L2041">runtime.ts:2041</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L2041">runtime.ts:2041</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="registerFunc" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>register<wbr/>Func</span><a href="#registerFunc" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -900,7 +900,7 @@ The wasm needs to be compiled with Asynctify</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/92e2bba08/web/src/runtime.ts#L1277">runtime.ts:1277</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L1277">runtime.ts:1277</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="registerInitProgressCallback" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>register<wbr/>Init<wbr/>Progress<wbr/>Callback</span><a href="#registerInitProgressCallback" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -917,7 +917,7 @@ The wasm needs to be compiled with Asynctify</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/92e2bba08/web/src/runtime.ts#L1390">runtime.ts:1390</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L1390">runtime.ts:1390</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="registerObjectConstructor" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>register<wbr/>Object<wbr/>Constructor</span><a href="#registerObjectConstructor" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -942,7 +942,7 @@ The wasm needs to be compiled with Asynctify</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/92e2bba08/web/src/runtime.ts#L1997">runtime.ts:1997</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L1997">runtime.ts:1997</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">
@@ -952,7 +952,7 @@ The wasm needs to be compiled with Asynctify</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/92e2bba08/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/7ae7ea836/web/src/runtime.ts#L1143">runtime.ts:1143</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="sampleTopPFromLogits" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>sample<wbr/>TopPFrom<wbr/>Logits</span><a href="#sampleTopPFromLogits" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -978,7 +978,7 @@ The wasm needs to be compiled with Asynctify</p>
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<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/runtime.ts#L1799">runtime.ts:1799</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L1799">runtime.ts:1799</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="sampleTopPFromProb" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>sample<wbr/>TopPFrom<wbr/>Prob</span><a href="#sampleTopPFromProb" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -1000,7 +1000,7 @@ The wasm needs to be compiled with Asynctify</p>
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<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/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/7ae7ea836/web/src/runtime.ts#L1810">runtime.ts:1810</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>
<ul class="tsd-signatures">
@@ -1022,7 +1022,7 @@ The wasm needs to be compiled with Asynctify</p>
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<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/runtime.ts#L1682">runtime.ts:1682</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L1682">runtime.ts:1682</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">
@@ -1052,7 +1052,7 @@ Allocate new temporary space from the stack if necessary.</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/92e2bba08/web/src/runtime.ts#L2300">runtime.ts:2300</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L2300">runtime.ts:2300</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="setSeed" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>set<wbr/>Seed</span><a href="#setSeed" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -1067,7 +1067,7 @@ Allocate new temporary space from the stack if necessary.</p>
<h5><span class="tsd-kind-parameter">seed</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/92e2bba08/web/src/runtime.ts#L1787">runtime.ts:1787</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L1787">runtime.ts:1787</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">
@@ -1084,7 +1084,7 @@ Allocate new temporary space from the stack if necessary.</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/92e2bba08/web/src/runtime.ts#L1867">runtime.ts:1867</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L1867">runtime.ts:1867</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="systemLib" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>system<wbr/>Lib</span><a href="#systemLib" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -1096,7 +1096,7 @@ 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/92e2bba08/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/7ae7ea836/web/src/runtime.ts#L1231">runtime.ts:1231</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="toDLDataType" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>toDLData<wbr/>Type</span><a href="#toDLDataType" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -1114,7 +1114,7 @@ System lib is a global module that contains self register functions in startup.<
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<ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L1636">runtime.ts:1636</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="toPackedFunc" class="tsd-anchor"></a>
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@@ -1132,7 +1132,7 @@ System lib is a global module that contains self register functions in startup.<
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L1356">runtime.ts:1356</a></li></ul></aside></li></ul></section>
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@@ -1150,7 +1150,7 @@ System lib is a global module that contains self register functions in startup.<
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<ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L1969">runtime.ts:1969</a></li></ul></aside></li></ul></section>
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@@ -1180,7 +1180,7 @@ 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/92e2bba08/web/src/runtime.ts#L1766">runtime.ts:1766</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L1766">runtime.ts:1766</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">
@@ -1197,7 +1197,7 @@ 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/92e2bba08/web/src/runtime.ts#L1708">runtime.ts:1708</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L1708">runtime.ts:1708</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="withNewScope" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>with<wbr/>New<wbr/>Scope</span><a href="#withNewScope" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -1230,7 +1230,7 @@ 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/92e2bba08/web/src/runtime.ts#L1179">runtime.ts:1179</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L1179">runtime.ts:1179</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="wrapAsyncifyPackedFunc" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>wrap<wbr/>Asyncify<wbr/>Packed<wbr/>Func</span><a href="#wrapAsyncifyPackedFunc" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -1253,7 +1253,7 @@ to make sure you use await when calling the funciton.</p>
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<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/runtime.ts#L2024">runtime.ts:2024</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L2024">runtime.ts:2024</a></li></ul></aside></li></ul></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/LinearCongruentialGenerator.html b/docs/reference/api/typedoc/classes/LinearCongruentialGenerator.html
index 28cc05e7d8..5ff1951695 100644
--- a/docs/reference/api/typedoc/classes/LinearCongruentialGenerator.html
+++ b/docs/reference/api/typedoc/classes/LinearCongruentialGenerator.html
@@ -26,7 +26,7 @@ sepcification in <a href="https://en.cppreference.com/w/cpp/numeric/random/linea
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<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/support.ts#L88">support.ts:88</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/support.ts#L88">support.ts:88</a></li></ul></aside>
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@@ -59,24 +59,24 @@ sepcification in <a href="https://en.cppreference.com/w/cpp/numeric/random/linea
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<h4 class="tsd-returns-title">Returns <a href="LinearCongruentialGenerator.html" class="tsd-signature-type tsd-kind-class">LinearCongruentialGenerator</a></h4><aside class="tsd-sources">
<ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/support.ts#L98">support.ts:98</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="increment" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><code class="tsd-tag ts-flagReadonly">Readonly</code> <span>increment</span><a href="#increment" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" 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">increment</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/92e2bba08/web/src/support.ts#L91">support.ts:91</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/support.ts#L91">support.ts:91</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="modulus" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><code class="tsd-tag ts-flagReadonly">Readonly</code> <span>modulus</span><a href="#modulus" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" 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">modulus</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/92e2bba08/web/src/support.ts#L89">support.ts:89</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/support.ts#L89">support.ts:89</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="multiplier" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><code class="tsd-tag ts-flagReadonly">Readonly</code> <span>multiplier</span><a href="#multiplier" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/support.ts#L90">support.ts:90</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/support.ts#L90">support.ts:90</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="nextInt" class="tsd-anchor"></a>
@@ -89,7 +89,7 @@ sepcification in <a href="https://en.cppreference.com/w/cpp/numeric/random/linea
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<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/support.ts#L127">support.ts:127</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/support.ts#L127">support.ts:127</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="randomFloat" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>random<wbr/>Float</span><a href="#randomFloat" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" 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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@@ -100,7 +100,7 @@ sepcification in <a href="https://en.cppreference.com/w/cpp/numeric/random/linea
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<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/support.ts#L141">support.ts:141</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/support.ts#L141">support.ts:141</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="setSeed" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>set<wbr/>Seed</span><a href="#setSeed" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use 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 @@ sepcification in <a href="https://en.cppreference.com/w/cpp/numeric/random/linea
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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/92e2bba08/web/src/support.ts#L111">support.ts:111</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/support.ts#L111">support.ts:111</a></li></ul></aside></li></ul></section></section></div>
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<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/Module.html b/docs/reference/api/typedoc/classes/Module.html
index 9f9858cac5..2938f98a59 100644
--- a/docs/reference/api/typedoc/classes/Module.html
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@@ -27,7 +27,7 @@
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<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/runtime.ts#L727">runtime.ts:727</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L727">runtime.ts:727</a></li></ul></aside>
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<section class="tsd-panel tsd-index-panel">
<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -73,7 +73,7 @@
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<h4 class="tsd-returns-title">Returns <a href="Module.html" class="tsd-signature-type tsd-kind-class">Module</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/runtime.ts#L732">runtime.ts:732</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L732">runtime.ts:732</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/92e2bba08/web/src/runtime.ts#L742">runtime.ts:742</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L742">runtime.ts:742</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="getFunction" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get<wbr/>Function</span><a href="#getFunction" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -110,7 +110,7 @@ only the first call will take effect.</p>
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<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/runtime.ts#L770">runtime.ts:770</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L770">runtime.ts:770</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="getHandle" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get<wbr/>Handle</span><a href="#getHandle" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -128,7 +128,7 @@ only the first call will take effect.</p>
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<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/runtime.ts#L757">runtime.ts:757</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L757">runtime.ts:757</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="importModule" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>import<wbr/>Module</span><a href="#importModule" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -145,7 +145,7 @@ only the first call will take effect.</p>
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<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L804">runtime.ts:804</a></li></ul></aside></li></ul></section></section></div>
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<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/NDArray.html b/docs/reference/api/typedoc/classes/NDArray.html
index 6393fa54e7..632fd2feb8 100644
--- a/docs/reference/api/typedoc/classes/NDArray.html
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@@ -27,7 +27,7 @@
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<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/runtime.ts#L456">runtime.ts:456</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L456">runtime.ts:456</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/92e2bba08/web/src/runtime.ts#L476">runtime.ts:476</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L476">runtime.ts:476</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/92e2bba08/web/src/runtime.ts#L466">runtime.ts:466</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L466">runtime.ts:466</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="dtype" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>dtype</span><a href="#dtype" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">dtype</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">string</span></div>
<div class="tsd-comment tsd-typography"><p>Data type of the array.</p>
</div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/runtime.ts#L462">runtime.ts:462</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L462">runtime.ts:462</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="isView" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>is<wbr/>View</span><a href="#isView" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">is<wbr/>View</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">boolean</span></div>
<div class="tsd-comment tsd-typography"><p>Whether it is a temporary view that can become invalid after the call.</p>
</div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/runtime.ts#L468">runtime.ts:468</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L468">runtime.ts:468</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="ndim" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>ndim</span><a href="#ndim" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">ndim</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div>
<div class="tsd-comment tsd-typography"><p>Number of dimensions.</p>
</div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/runtime.ts#L460">runtime.ts:460</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L460">runtime.ts:460</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/92e2bba08/web/src/runtime.ts#L464">runtime.ts:464</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L464">runtime.ts:464</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/92e2bba08/web/src/runtime.ts#L585">runtime.ts:585</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L585">runtime.ts:585</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="copyFromRawBytes" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>copy<wbr/>From<wbr/>Raw<wbr/>Bytes</span><a href="#copyFromRawBytes" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -152,7 +152,7 @@ The number of elements must match.</p>
<h4 class="tsd-returns-title">Returns <a href="NDArray.html" class="tsd-signature-type tsd-kind-class">NDArray</a></h4><p>this</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/runtime.ts#L634">runtime.ts:634</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L634">runtime.ts:634</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/92e2bba08/web/src/runtime.ts#L570">runtime.ts:570</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L570">runtime.ts:570</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/92e2bba08/web/src/runtime.ts#L563">runtime.ts:563</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L563">runtime.ts:563</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/92e2bba08/web/src/runtime.ts#L551">runtime.ts:551</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L551">runtime.ts:551</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/92e2bba08/web/src/runtime.ts#L700">runtime.ts:700</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L700">runtime.ts:700</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="toRawBytes" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>to<wbr/>Raw<wbr/>Bytes</span><a href="#toRawBytes" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -217,7 +217,7 @@ the dtype of the NDArray.</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Uint8Array</span></h4><p>The result array.</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/runtime.ts#L669">runtime.ts:669</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L669">runtime.ts:669</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">
@@ -239,7 +239,7 @@ 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/92e2bba08/web/src/runtime.ts#L532">runtime.ts:532</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L532">runtime.ts:532</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 10b19464a1..874775ab43 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/92e2bba08/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/7ae7ea836/web/src/rpc_server.ts#L77">rpc_server.ts:77</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
<section class="tsd-panel tsd-index-panel">
<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -98,7 +98,7 @@
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol"><</span><span class="tsd-signature-type">void</span><span class="tsd-signature-symbol">></span></h4></li></ul></li></ul></li></ul></div>
<h4 class="tsd-returns-title">Returns <a href="RPCServer.html" class="tsd-signature-type tsd-kind-class">RPCServer</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/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/7ae7ea836/web/src/rpc_server.ts#L100">rpc_server.ts:100</a></li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Properties</h2>
<section class="tsd-panel tsd-member"><a id="getImports" class="tsd-anchor"></a>
@@ -113,12 +113,12 @@
<li class="tsd-description">
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Record</span><span class="tsd-signature-symbol"><</span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">, </span><span class="tsd-signature-type">unknown</span><span class="tsd-signature-symbol">></span></h4></li></ul></li></ul></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/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/7ae7ea836/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/92e2bba08/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/7ae7ea836/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/92e2bba08/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/7ae7ea836/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/92e2bba08/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/7ae7ea836/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/92e2bba08/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/7ae7ea836/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/92e2bba08/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/7ae7ea836/web/src/rpc_server.ts#L78">rpc_server.ts:78</a></li></ul></aside></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/Scalar.html b/docs/reference/api/typedoc/classes/Scalar.html
index 649f85c6e1..0898a45075 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/92e2bba08/web/src/runtime.ts#L303">runtime.ts:303</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L303">runtime.ts:303</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
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@@ -55,7 +55,7 @@ argument to PackedFunc calls.</p>
<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/92e2bba08/web/src/runtime.ts#L309">runtime.ts:309</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L309">runtime.ts:309</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>
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<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/runtime.ts#L307">runtime.ts:307</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L307">runtime.ts:307</a></li></ul></aside></section>
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<h3 class="tsd-anchor-link"><span>value</span><a href="#value" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">value</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div>
<div class="tsd-comment tsd-typography"><p>The value.</p>
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<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/runtime.ts#L305">runtime.ts:305</a></li></ul></aside></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L305">runtime.ts:305</a></li></ul></aside></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/TVMArray.html b/docs/reference/api/typedoc/classes/TVMArray.html
index 105d7d42ae..e8c18f480f 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/92e2bba08/web/src/runtime.ts#L901">runtime.ts:901</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L901">runtime.ts:901</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">
@@ -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/92e2bba08/web/src/runtime.ts#L902">runtime.ts:902</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L902">runtime.ts:902</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/92e2bba08/web/src/runtime.ts#L832">runtime.ts:832</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L832">runtime.ts:832</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/92e2bba08/web/src/runtime.ts#L921">runtime.ts:921</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L921">runtime.ts:921</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>
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@@ -115,7 +115,7 @@ only the first call will take effect.</p>
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<p>Inherited from <a href="TVMObject.html">TVMObject</a>.<a href="TVMObject.html#getHandle">getHandle</a></p>
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/runtime.ts#L847">runtime.ts:847</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L847">runtime.ts:847</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>
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@@ -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/92e2bba08/web/src/runtime.ts#L913">runtime.ts:913</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L913">runtime.ts:913</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>
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@@ -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/92e2bba08/web/src/runtime.ts#L855">runtime.ts:855</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L855">runtime.ts:855</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member tsd-is-inherited"><a id="typeKey" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>type<wbr/>Key</span><a href="#typeKey" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -147,7 +147,7 @@ only the first call will take effect.</p>
<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/92e2bba08/web/src/runtime.ts#L875">runtime.ts:875</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L875">runtime.ts:875</a></li></ul></aside></li></ul></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/TVMObject.html b/docs/reference/api/typedoc/classes/TVMObject.html
index d585277bf6..931f883cae 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/92e2bba08/web/src/runtime.ts#L817">runtime.ts:817</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L817">runtime.ts:817</a></li></ul></aside>
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@@ -65,7 +65,7 @@
<h5><span class="tsd-kind-parameter">ctx</span>: <a href="_internal_.RuntimeContext.html" class="tsd-signature-type tsd-kind-class">RuntimeContext</a></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <a href="TVMObject.html" class="tsd-signature-type tsd-kind-class">TVMObject</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/runtime.ts#L822">runtime.ts:822</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L822">runtime.ts:822</a></li></ul></aside></li></ul></section></section>
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<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/92e2bba08/web/src/runtime.ts#L832">runtime.ts:832</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L832">runtime.ts:832</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="getHandle" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get<wbr/>Handle</span><a href="#getHandle" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -98,7 +98,7 @@ only the first call will take effect.</p>
<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/92e2bba08/web/src/runtime.ts#L847">runtime.ts:847</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L847">runtime.ts:847</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="typeIndex" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>type<wbr/>Index</span><a href="#typeIndex" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -108,7 +108,7 @@ only the first call will take effect.</p>
</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/92e2bba08/web/src/runtime.ts#L855">runtime.ts:855</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L855">runtime.ts:855</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="typeKey" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>type<wbr/>Key</span><a href="#typeKey" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -118,7 +118,7 @@ only the first call will take effect.</p>
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<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">string</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/runtime.ts#L875">runtime.ts:875</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L875">runtime.ts:875</a></li></ul></aside></li></ul></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/VirtualMachine.html b/docs/reference/api/typedoc/classes/VirtualMachine.html
index c188770259..105b957d5a 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/92e2bba08/web/src/runtime.ts#L956">runtime.ts:956</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L956">runtime.ts:956</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
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<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -68,7 +68,7 @@
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<h4 class="tsd-returns-title">Returns <a href="VirtualMachine.html" class="tsd-signature-type tsd-kind-class">VirtualMachine</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/runtime.ts#L963">runtime.ts:963</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L963">runtime.ts:963</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/92e2bba08/web/src/runtime.ts#L976">runtime.ts:976</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L976">runtime.ts:976</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/92e2bba08/web/src/runtime.ts#L984">runtime.ts:984</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L984">runtime.ts:984</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>
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@@ -111,7 +111,7 @@ only the first call will take effect.</p>
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<h4 class="tsd-returns-title">Returns <a href="Module.html" class="tsd-signature-type tsd-kind-class">Module</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/runtime.ts#L991">runtime.ts:991</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L991">runtime.ts:991</a></li></ul></aside></li></ul></section></section></div>
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<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/_internal_.AsyncifyHandler.html b/docs/reference/api/typedoc/classes/_internal_.AsyncifyHandler.html
index 1f102f8b68..c2c6d538cf 100644
--- a/docs/reference/api/typedoc/classes/_internal_.AsyncifyHandler.html
+++ b/docs/reference/api/typedoc/classes/_internal_.AsyncifyHandler.html
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<li><span class="target">AsyncifyHandler</span></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/asyncify.ts#L44">asyncify.ts:44</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/asyncify.ts#L44">asyncify.ts:44</a></li></ul></aside>
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@@ -57,7 +57,7 @@
<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_.AsyncifyHandler.html" class="tsd-signature-type tsd-kind-class">AsyncifyHandler</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/asyncify.ts#L58">asyncify.ts:58</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/asyncify.ts#L58">asyncify.ts:58</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="enabled" class="tsd-anchor"></a>
@@ -70,7 +70,7 @@
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">boolean</span></h4><p>Whether the wasm enables asynctify</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/asyncify.ts#L69">asyncify.ts:69</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/asyncify.ts#L69">asyncify.ts:69</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="getState" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get<wbr/>State</span><a href="#getState" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" 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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@@ -81,7 +81,7 @@
<h4 class="tsd-returns-title">Returns <a href="../enums/_internal_.AsyncifyStateKind.html" class="tsd-signature-type tsd-kind-enum">AsyncifyStateKind</a></h4><p>The current asynctify state</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/asyncify.ts#L78">asyncify.ts:78</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/asyncify.ts#L78">asyncify.ts:78</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="wrapExport" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>wrap<wbr/>Export</span><a href="#wrapExport" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" 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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@@ -124,7 +124,7 @@
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<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/asyncify.ts#L140">asyncify.ts:140</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/asyncify.ts#L140">asyncify.ts:140</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="wrapImport" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>wrap<wbr/>Import</span><a href="#wrapImport" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -167,7 +167,7 @@
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">any</span></h4><p>The wrapped function that can be registered to the system</p>
</li></ul></li></ul><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/asyncify.ts#L88">asyncify.ts:88</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/asyncify.ts#L88">asyncify.ts:88</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 825c1ab250..62e32547fb 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/92e2bba08/web/src/memory.ts#L206">memory.ts:206</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/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/92e2bba08/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/7ae7ea836/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/92e2bba08/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/7ae7ea836/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/92e2bba08/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/7ae7ea836/web/src/memory.ts#L312">memory.ts:312</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="allocRawBytes" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>alloc<wbr/>Raw<wbr/>Bytes</span><a href="#allocRawBytes" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -134,7 +134,7 @@ can still call into storeXX</li>
</div></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/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/7ae7ea836/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>
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@@ -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/92e2bba08/web/src/memory.ts#L390">memory.ts:390</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/memory.ts#L390">memory.ts:390</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>
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@@ -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/92e2bba08/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/7ae7ea836/web/src/memory.ts#L377">memory.ts:377</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="commitToWasmMemory" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>commit<wbr/>To<wbr/>Wasm<wbr/>Memory</span><a href="#commitToWasmMemory" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -199,7 +199,7 @@ No further store function should be called.</p>
</div></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/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/7ae7ea836/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>
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@@ -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/92e2bba08/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/7ae7ea836/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/92e2bba08/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/7ae7ea836/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/92e2bba08/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/7ae7ea836/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>
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@@ -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/92e2bba08/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/7ae7ea836/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/92e2bba08/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/7ae7ea836/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/92e2bba08/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/7ae7ea836/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/92e2bba08/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/7ae7ea836/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>
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@@ -315,7 +315,7 @@ Note that the returned value becomes obsolete if alloc is called on the stack.</
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<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/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/7ae7ea836/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/92e2bba08/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/7ae7ea836/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/92e2bba08/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/7ae7ea836/web/src/memory.ts#L334">memory.ts:334</a></li></ul></aside></li></ul></section></section></div>
<div class="col-sidebar">
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<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/_internal_.CanvasRenderManager.html b/docs/reference/api/typedoc/classes/_internal_.CanvasRenderManager.html
index 6477aa75c2..330995913f 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/92e2bba08/web/src/webgpu.ts#L209">webgpu.ts:209</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/webgpu.ts#L209">webgpu.ts:209</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
<section class="tsd-panel tsd-index-panel">
<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -61,7 +61,7 @@ which needs to be explicitly disposed.</p>
<h5><span class="tsd-kind-parameter">canvas</span>: <span class="tsd-signature-type ">HTMLCanvasElement</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <a href="_internal_.CanvasRenderManager.html" class="tsd-signature-type tsd-kind-class">CanvasRenderManager</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/webgpu.ts#L218">webgpu.ts:218</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/webgpu.ts#L218">webgpu.ts:218</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/92e2bba08/web/src/webgpu.ts#L292">webgpu.ts:292</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/webgpu.ts#L292">webgpu.ts:292</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/92e2bba08/web/src/webgpu.ts#L368">webgpu.ts:368</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/webgpu.ts#L368">webgpu.ts:368</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/92e2bba08/web/src/webgpu.ts#L318">webgpu.ts:318</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/webgpu.ts#L318">webgpu.ts:318</a></li></ul></aside></li></ul></section></section></div>
<div class="col-sidebar">
<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/_internal_.Environment.html b/docs/reference/api/typedoc/classes/_internal_.Environment.html
index 77b36b5b8d..137400a757 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/92e2bba08/web/src/environment.ts#L68">environment.ts:68</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/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/92e2bba08/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/7ae7ea836/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/92e2bba08/web/src/environment.ts#L70">environment.ts:70</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/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/92e2bba08/web/src/environment.ts#L69">environment.ts:69</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/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/92e2bba08/web/src/environment.ts#L78">environment.ts:78</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/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/92e2bba08/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/7ae7ea836/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/92e2bba08/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/7ae7ea836/web/src/environment.ts#L105">environment.ts:105</a></li></ul></aside></li></ul></section></section></div>
<div class="col-sidebar">
<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/classes/_internal_.FFILibrary.html b/docs/reference/api/typedoc/classes/_internal_.FFILibrary.html
index fcccfeeda1..309259ebf5 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/92e2bba08/web/src/runtime.ts#L56">runtime.ts:56</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L56">runtime.ts:56</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
<section class="tsd-panel tsd-index-panel">
<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -69,29 +69,29 @@
<h5><span class="tsd-kind-parameter">imports</span>: <span class="tsd-signature-type ">Record</span><span class="tsd-signature-symbol"><</span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">, </span><span class="tsd-signature-type">any</span><span class="tsd-signature-symbol">></span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <a href="_internal_.FFILibrary.html" class="tsd-signature-type tsd-kind-class">FFILibrary</a></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/runtime.ts#L64">runtime.ts:64</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L64">runtime.ts:64</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/92e2bba08/web/src/runtime.ts#L59">runtime.ts:59</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L59">runtime.ts:59</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/92e2bba08/web/src/runtime.ts#L58">runtime.ts:58</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L58">runtime.ts:58</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/92e2bba08/web/src/runtime.ts#L57">runtime.ts:57</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L57">runtime.ts:57</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/92e2bba08/web/src/runtime.ts#L60">runtime.ts:60</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L60">runtime.ts:60</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/92e2bba08/web/src/runtime.ts#L90">runtime.ts:90</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L90">runtime.ts:90</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/92e2bba08/web/src/runtime.ts#L79">runtime.ts:79</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L79">runtime.ts:79</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/92e2bba08/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/7ae7ea836/web/src/runtime.ts#L98">runtime.ts:98</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/92e2bba08/web/src/runtime.ts#L109">runtime.ts:109</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L109">runtime.ts:109</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/92e2bba08/web/src/runtime.ts#L86">runtime.ts:86</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L86">runtime.ts:86</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 d70b6208db..585cd772a3 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/92e2bba08/web/src/memory.ts#L31">memory.ts:31</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/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/92e2bba08/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/7ae7ea836/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/92e2bba08/web/src/memory.ts#L32">memory.ts:32</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/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/92e2bba08/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/7ae7ea836/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/92e2bba08/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/7ae7ea836/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/92e2bba08/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/7ae7ea836/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/92e2bba08/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/7ae7ea836/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/92e2bba08/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/7ae7ea836/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/92e2bba08/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/7ae7ea836/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/92e2bba08/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/7ae7ea836/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/92e2bba08/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/7ae7ea836/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/92e2bba08/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/7ae7ea836/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/92e2bba08/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/7ae7ea836/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/92e2bba08/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/7ae7ea836/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/92e2bba08/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/7ae7ea836/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/92e2bba08/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/7ae7ea836/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/92e2bba08/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/7ae7ea836/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 @@
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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/92e2bba08/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/7ae7ea836/web/src/memory.ts#L175">memory.ts:175</a></li></ul></aside></li></ul></section></section></div>
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diff --git a/docs/reference/api/typedoc/classes/_internal_.PackedFuncCell.html b/docs/reference/api/typedoc/classes/_internal_.PackedFuncCell.html
index b3f9ceaac1..3b9d437985 100644
--- a/docs/reference/api/typedoc/classes/_internal_.PackedFuncCell.html
+++ b/docs/reference/api/typedoc/classes/_internal_.PackedFuncCell.html
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<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/runtime.ts#L318">runtime.ts:318</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L318">runtime.ts:318</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
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@@ -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/92e2bba08/web/src/runtime.ts#L322">runtime.ts:322</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L322">runtime.ts:322</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/92e2bba08/web/src/runtime.ts#L327">runtime.ts:327</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L327">runtime.ts:327</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="getHandle" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get<wbr/>Handle</span><a href="#getHandle" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -87,7 +87,7 @@ only the first call will take effect.</p>
<h5><span class="tsd-kind-parameter">requireNotNull</span>: <span class="tsd-signature-type">boolean</span><span class="tsd-signature-symbol"> = true</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/runtime.ts#L336">runtime.ts:336</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L336">runtime.ts:336</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 d548a81737..51df6fc572 100644
--- a/docs/reference/api/typedoc/classes/_internal_.RuntimeContext.html
+++ b/docs/reference/api/typedoc/classes/_internal_.RuntimeContext.html
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<li><a href="../interfaces/Disposable.html" class="tsd-signature-type tsd-kind-interface">Disposable</a></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/runtime.ts#L155">runtime.ts:155</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L155">runtime.ts:155</a></li></ul></aside>
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@@ -97,119 +97,119 @@
<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/92e2bba08/web/src/runtime.ts#L181">runtime.ts:181</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L181">runtime.ts:181</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/92e2bba08/web/src/runtime.ts#L175">runtime.ts:175</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L175">runtime.ts:175</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/92e2bba08/web/src/runtime.ts#L174">runtime.ts:174</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L174">runtime.ts:174</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/92e2bba08/web/src/runtime.ts#L176">runtime.ts:176</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L176">runtime.ts:176</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/92e2bba08/web/src/runtime.ts#L166">runtime.ts:166</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L166">runtime.ts:166</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/92e2bba08/web/src/runtime.ts#L163">runtime.ts:163</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L163">runtime.ts:163</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/92e2bba08/web/src/runtime.ts#L165">runtime.ts:165</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L165">runtime.ts:165</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/92e2bba08/web/src/runtime.ts#L164">runtime.ts:164</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L164">runtime.ts:164</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="arrayConcat" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>array<wbr/>Concat</span><a href="#arrayConcat" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" 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/>Concat</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/92e2bba08/web/src/runtime.ts#L159">runtime.ts:159</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L159">runtime.ts:159</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/92e2bba08/web/src/runtime.ts#L167">runtime.ts:167</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L167">runtime.ts:167</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/92e2bba08/web/src/runtime.ts#L156">runtime.ts:156</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L156">runtime.ts:156</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/92e2bba08/web/src/runtime.ts#L157">runtime.ts:157</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L157">runtime.ts:157</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/92e2bba08/web/src/runtime.ts#L158">runtime.ts:158</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L158">runtime.ts:158</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="concatEmbeddings" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>concat<wbr/>Embeddings</span><a href="#concatEmbeddings" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" 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">concat<wbr/>Embeddings</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/92e2bba08/web/src/runtime.ts#L177">runtime.ts:177</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L177">runtime.ts:177</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/92e2bba08/web/src/runtime.ts#L161">runtime.ts:161</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L161">runtime.ts:161</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/92e2bba08/web/src/runtime.ts#L162">runtime.ts:162</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L162">runtime.ts:162</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/92e2bba08/web/src/runtime.ts#L170">runtime.ts:170</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L170">runtime.ts:170</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/92e2bba08/web/src/runtime.ts#L171">runtime.ts:171</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L171">runtime.ts:171</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/92e2bba08/web/src/runtime.ts#L168">runtime.ts:168</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L168">runtime.ts:168</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/92e2bba08/web/src/runtime.ts#L169">runtime.ts:169</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L169">runtime.ts:169</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/92e2bba08/web/src/runtime.ts#L172">runtime.ts:172</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L172">runtime.ts:172</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="sampleTopPFromProb" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>sample<wbr/>TopPFrom<wbr/>Prob</span><a href="#sampleTopPFromProb" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" 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/>Prob</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/92e2bba08/web/src/runtime.ts#L173">runtime.ts:173</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L173">runtime.ts:173</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/92e2bba08/web/src/runtime.ts#L160">runtime.ts:160</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L160">runtime.ts:160</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>
@@ -237,7 +237,7 @@
<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/92e2bba08/web/src/runtime.ts#L261">runtime.ts:261</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L261">runtime.ts:261</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">
@@ -245,7 +245,7 @@
<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/92e2bba08/web/src/runtime.ts#L235">runtime.ts:235</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L235">runtime.ts:235</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">
@@ -263,7 +263,7 @@
<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/92e2bba08/web/src/runtime.ts#L280">runtime.ts:280</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L280">runtime.ts:280</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">
@@ -276,7 +276,7 @@ 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/92e2bba08/web/src/runtime.ts#L210">runtime.ts:210</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L210">runtime.ts:210</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">
@@ -284,7 +284,7 @@ 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/92e2bba08/web/src/runtime.ts#L239">runtime.ts:239</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L239">runtime.ts:239</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">
@@ -302,7 +302,7 @@ 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/92e2bba08/web/src/runtime.ts#L270">runtime.ts:270</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L270">runtime.ts:270</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 399b1d1e78..af813cf154 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/92e2bba08/web/src/runtime.ts#L927">runtime.ts:927</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L927">runtime.ts:927</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/92e2bba08/web/src/runtime.ts#L928">runtime.ts:928</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L928">runtime.ts:928</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/92e2bba08/web/src/runtime.ts#L832">runtime.ts:832</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L832">runtime.ts:832</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/92e2bba08/web/src/runtime.ts#L847">runtime.ts:847</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L847">runtime.ts:847</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/92e2bba08/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/7ae7ea836/web/src/runtime.ts#L939">runtime.ts:939</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/92e2bba08/web/src/runtime.ts#L855">runtime.ts:855</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L855">runtime.ts:855</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/92e2bba08/web/src/runtime.ts#L875">runtime.ts:875</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L875">runtime.ts:875</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 9085c2adfe..14dd643b6e 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/92e2bba08/web/src/webgpu.ts#L386">webgpu.ts:386</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/webgpu.ts#L386">webgpu.ts:386</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/92e2bba08/web/src/webgpu.ts#L411">webgpu.ts:411</a></li></ul></aside></li></ul></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/webgpu.ts#L411">webgpu.ts:411</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/92e2bba08/web/src/webgpu.ts#L387">webgpu.ts:387</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/webgpu.ts#L387">webgpu.ts:387</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/92e2bba08/web/src/webgpu.ts#L388">webgpu.ts:388</a></li></ul></aside></section></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/webgpu.ts#L388">webgpu.ts:388</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/92e2bba08/web/src/webgpu.ts#L495">webgpu.ts:495</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/webgpu.ts#L495">webgpu.ts:495</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/92e2bba08/web/src/webgpu.ts#L487">webgpu.ts:487</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/webgpu.ts#L487">webgpu.ts:487</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/92e2bba08/web/src/webgpu.ts#L469">webgpu.ts:469</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/webgpu.ts#L469">webgpu.ts:469</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="createShader" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>create<wbr/>Shader</span><a href="#createShader" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -160,7 +160,7 @@ via createComputePipeline</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Function</span></h4><p>The shader</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/webgpu.ts#L507">webgpu.ts:507</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/webgpu.ts#L507">webgpu.ts:507</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="createShaderAsync" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>create<wbr/>Shader<wbr/>Async</span><a href="#createShaderAsync" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -181,7 +181,7 @@ via createComputePipelineAsync</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Promise</span><span class="tsd-signature-symbol"><</span><span class="tsd-signature-type ">Function</span><span class="tsd-signature-symbol">></span></h4><p>The shader</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/webgpu.ts#L519">webgpu.ts:519</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/webgpu.ts#L519">webgpu.ts:519</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="dispose" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>dispose</span><a href="#dispose" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -191,7 +191,7 @@ via createComputePipelineAsync</p>
</div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/webgpu.ts#L419">webgpu.ts:419</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/webgpu.ts#L419">webgpu.ts:419</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="drawImageFromBuffer" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>draw<wbr/>Image<wbr/>From<wbr/>Buffer</span><a href="#drawImageFromBuffer" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -216,7 +216,7 @@ via createComputePipelineAsync</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/92e2bba08/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/7ae7ea836/web/src/webgpu.ts#L454">webgpu.ts:454</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="getDeviceAPI" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get<wbr/>DeviceAPI</span><a href="#getDeviceAPI" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -232,7 +232,7 @@ via createComputePipelineAsync</p>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type ">Function</span></h4><p>The corresponding device api.</p>
<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/webgpu.ts#L775">webgpu.ts:775</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/webgpu.ts#L775">webgpu.ts:775</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">
@@ -242,7 +242,7 @@ via createComputePipelineAsync</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/92e2bba08/web/src/webgpu.ts#L441">webgpu.ts:441</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/webgpu.ts#L441">webgpu.ts:441</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="sync" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>sync</span><a href="#sync" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures">
@@ -252,7 +252,7 @@ via createComputePipelineAsync</p>
</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/92e2bba08/web/src/webgpu.ts#L434">webgpu.ts:434</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/webgpu.ts#L434">webgpu.ts:434</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/enums/_internal_.AsyncifyStateKind.html b/docs/reference/api/typedoc/enums/_internal_.AsyncifyStateKind.html
index 20f4a0de8e..87736fee83 100644
--- a/docs/reference/api/typedoc/enums/_internal_.AsyncifyStateKind.html
+++ b/docs/reference/api/typedoc/enums/_internal_.AsyncifyStateKind.html
@@ -20,7 +20,7 @@
<div class="tsd-comment tsd-typography"><p>enums to check the current state of asynctify</p>
</div></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/asyncify.ts#L30">asyncify.ts:30</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/asyncify.ts#L30">asyncify.ts:30</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
<section class="tsd-panel tsd-index-panel">
<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -38,17 +38,17 @@
<h3 class="tsd-anchor-link"><span>None</span><a href="#None" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><path stroke="none" d="M0 0h24v24H0z" fill="none" id="icon-anchor-a"></path><path d="M10 14a3.5 3.5 0 0 0 5 0l4 -4a3.5 3.5 0 0 0 -5 -5l-.5 .5" id="icon-anchor-b"></path><path d="M14 10a3.5 3.5 0 0 0 -5 0l-4 4a3.5 3.5 0 [...]
<div class="tsd-signature"><span class="tsd-kind-enum-member">None</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">0</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/asyncify.ts#L31">asyncify.ts:31</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/asyncify.ts#L31">asyncify.ts:31</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="Rewinding" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>Rewinding</span><a href="#Rewinding" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" 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-enum-member">Rewinding</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">2</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/asyncify.ts#L33">asyncify.ts:33</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/asyncify.ts#L33">asyncify.ts:33</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="Unwinding" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>Unwinding</span><a href="#Unwinding" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" 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-enum-member">Unwinding</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">1</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/asyncify.ts#L32">asyncify.ts:32</a></li></ul></aside></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/asyncify.ts#L32">asyncify.ts:32</a></li></ul></aside></section></section></div>
<div class="col-sidebar">
<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/enums/_internal_.RPCServerState.html b/docs/reference/api/typedoc/enums/_internal_.RPCServerState.html
index 0456758ef1..7a94337481 100644
--- a/docs/reference/api/typedoc/enums/_internal_.RPCServerState.html
+++ b/docs/reference/api/typedoc/enums/_internal_.RPCServerState.html
@@ -17,7 +17,7 @@
<li><a href="_internal_.RPCServerState.html">RPCServerState</a></li></ul>
<h1>Enumeration RPCServerState</h1></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/rpc_server.ts#L27">rpc_server.ts:27</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/rpc_server.ts#L27">rpc_server.ts:27</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
<section class="tsd-panel tsd-index-panel">
<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -38,32 +38,32 @@
<h3 class="tsd-anchor-link"><span>Init<wbr/>Header</span><a href="#InitHeader" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><path stroke="none" d="M0 0h24v24H0z" fill="none" id="icon-anchor-a"></path><path d="M10 14a3.5 3.5 0 0 0 5 0l4 -4a3.5 3.5 0 0 0 -5 -5l-.5 .5" id="icon-anchor-b"></path><path d="M14 10a3.5 3.5 0 0 0 -5 [...]
<div class="tsd-signature"><span class="tsd-kind-enum-member">Init<wbr/>Header</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">0</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/rpc_server.ts#L28">rpc_server.ts:28</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/rpc_server.ts#L28">rpc_server.ts:28</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="InitHeaderKey" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>Init<wbr/>Header<wbr/>Key</span><a href="#InitHeaderKey" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" 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-enum-member">Init<wbr/>Header<wbr/>Key</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">1</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/rpc_server.ts#L29">rpc_server.ts:29</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/rpc_server.ts#L29">rpc_server.ts:29</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="InitServer" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>Init<wbr/>Server</span><a href="#InitServer" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" 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-enum-member">Init<wbr/>Server</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">2</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/rpc_server.ts#L30">rpc_server.ts:30</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/rpc_server.ts#L30">rpc_server.ts:30</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="ReceivePacketBody" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>Receive<wbr/>Packet<wbr/>Body</span><a href="#ReceivePacketBody" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" 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/92e2bba08/web/src/rpc_server.ts#L33">rpc_server.ts:33</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/rpc_server.ts#L33">rpc_server.ts:33</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="ReceivePacketHeader" class="tsd-anchor"></a>
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<div class="tsd-signature"><span class="tsd-kind-enum-member">Receive<wbr/>Packet<wbr/>Header</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">4</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/rpc_server.ts#L32">rpc_server.ts:32</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/rpc_server.ts#L32">rpc_server.ts:32</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="WaitForCallback" class="tsd-anchor"></a>
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<div class="tsd-signature"><span class="tsd-kind-enum-member">Wait<wbr/>For<wbr/>Callback</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">3</span></div><aside class="tsd-sources">
<ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/rpc_server.ts#L31">rpc_server.ts:31</a></li></ul></aside></section></section></div>
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diff --git a/docs/reference/api/typedoc/functions/assert.html b/docs/reference/api/typedoc/functions/assert.html
index 012e5fb8ab..b226c4e762 100644
--- a/docs/reference/api/typedoc/functions/assert.html
+++ b/docs/reference/api/typedoc/functions/assert.html
@@ -34,7 +34,7 @@
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<h4 class="tsd-returns-title">Returns <span class="tsd-signature-symbol">asserts </span><span class="tsd-kind-parameter">condition</span></h4><aside class="tsd-sources">
<ul>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/support.ts#L65">support.ts:65</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
index 979cde798e..53ba75e7a0 100644
--- a/docs/reference/api/typedoc/functions/createPolyfillWASI.html
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<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/compact.ts#L55">compact.ts:55</a></li></ul></aside></li></ul></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/compact.ts#L55">compact.ts:55</a></li></ul></aside></li></ul></section></div>
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diff --git a/docs/reference/api/typedoc/functions/deleteNDArrayCache.html b/docs/reference/api/typedoc/functions/deleteNDArrayCache.html
index 89cce2748d..a65b26aff4 100644
--- a/docs/reference/api/typedoc/functions/deleteNDArrayCache.html
+++ b/docs/reference/api/typedoc/functions/deleteNDArrayCache.html
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<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/artifact_cache.ts#L397">artifact_cache.ts:397</a></li></ul></aside></li></ul></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/artifact_cache.ts#L397">artifact_cache.ts:397</a></li></ul></aside></li></ul></section></div>
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diff --git a/docs/reference/api/typedoc/functions/detectGPUDevice.html b/docs/reference/api/typedoc/functions/detectGPUDevice.html
index 2707d7075c..7ca72d2032 100644
--- a/docs/reference/api/typedoc/functions/detectGPUDevice.html
+++ b/docs/reference/api/typedoc/functions/detectGPUDevice.html
@@ -23,7 +23,7 @@
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<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/webgpu.ts#L36">webgpu.ts:36</a></li></ul></aside></li></ul></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/webgpu.ts#L36">webgpu.ts:36</a></li></ul></aside></li></ul></section></div>
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diff --git a/docs/reference/api/typedoc/functions/hasNDArrayInCache.html b/docs/reference/api/typedoc/functions/hasNDArrayInCache.html
index b1c82110eb..40aeffe104 100644
--- a/docs/reference/api/typedoc/functions/hasNDArrayInCache.html
+++ b/docs/reference/api/typedoc/functions/hasNDArrayInCache.html
@@ -39,7 +39,7 @@
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<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/artifact_cache.ts#L365">artifact_cache.ts:365</a></li></ul></aside></li></ul></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/artifact_cache.ts#L365">artifact_cache.ts:365</a></li></ul></aside></li></ul></section></div>
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diff --git a/docs/reference/api/typedoc/functions/instantiate.html b/docs/reference/api/typedoc/functions/instantiate.html
index b67f90c5bf..1a1c6520ab 100644
--- a/docs/reference/api/typedoc/functions/instantiate.html
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@@ -53,7 +53,7 @@ by passing its generated js Module as the imports.</p>
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<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/runtime.ts#L2592">runtime.ts:2592</a></li></ul></aside></li></ul></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L2592">runtime.ts:2592</a></li></ul></aside></li></ul></section></div>
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diff --git a/docs/reference/api/typedoc/functions/wasmPath.html b/docs/reference/api/typedoc/functions/wasmPath.html
index 3a0031333c..e832be8d00 100644
--- a/docs/reference/api/typedoc/functions/wasmPath.html
+++ b/docs/reference/api/typedoc/functions/wasmPath.html
@@ -24,7 +24,7 @@
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<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/support.ts#L75">support.ts:75</a></li></ul></aside></li></ul></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/support.ts#L75">support.ts:75</a></li></ul></aside></li></ul></section></div>
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diff --git a/docs/reference/api/typedoc/interfaces/ArtifactCacheTemplate.html b/docs/reference/api/typedoc/interfaces/ArtifactCacheTemplate.html
index a712f5ff09..22d9256003 100644
--- a/docs/reference/api/typedoc/interfaces/ArtifactCacheTemplate.html
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<li><a href="../classes/ArtifactIndexedDBCache.html" class="tsd-signature-type tsd-kind-class">ArtifactIndexedDBCache</a></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/artifact_cache.ts#L39">artifact_cache.ts:39</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/artifact_cache.ts#L39">artifact_cache.ts:39</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 @@
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<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/artifact_cache.ts#L69">artifact_cache.ts:69</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/artifact_cache.ts#L69">artifact_cache.ts:69</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="deleteInCache" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>delete<wbr/>In<wbr/>Cache</span><a href="#deleteInCache" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" 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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@@ -80,7 +80,7 @@
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<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/artifact_cache.ts#L83">artifact_cache.ts:83</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/artifact_cache.ts#L83">artifact_cache.ts:83</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">
@@ -103,7 +103,7 @@ cache, fetch the data and then add to cache.</p>
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<aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/artifact_cache.ts#L55">artifact_cache.ts:55</a></li></ul></aside></li></ul></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/artifact_cache.ts#L55">artifact_cache.ts:55</a></li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member"><a id="hasAllKeys" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>has<wbr/>All<wbr/>Keys</span><a href="#hasAllKeys" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@@ -120,7 +120,7 @@ cache, fetch the data and then add to cache.</p>
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<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/artifact_cache.ts#L76">artifact_cache.ts:76</a></li></ul></aside></li></ul></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/artifact_cache.ts#L76">artifact_cache.ts:76</a></li></ul></aside></li></ul></section></section></div>
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diff --git a/docs/reference/api/typedoc/interfaces/Disposable.html b/docs/reference/api/typedoc/interfaces/Disposable.html
index ad64751136..da442961a9 100644
--- a/docs/reference/api/typedoc/interfaces/Disposable.html
+++ b/docs/reference/api/typedoc/interfaces/Disposable.html
@@ -37,7 +37,7 @@ which needs to be explicitly disposed.</p>
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<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/types.ts#L46">types.ts:46</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/types.ts#L46">types.ts:46</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">
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<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4></li></ul></li></ul></div><aside class="tsd-sources">
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/types.ts#L52">types.ts:52</a></li></ul></aside></section></section></div>
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diff --git a/docs/reference/api/typedoc/interfaces/GPUDeviceDetectOutput.html b/docs/reference/api/typedoc/interfaces/GPUDeviceDetectOutput.html
index d6c62cfa51..ee63635df7 100644
--- a/docs/reference/api/typedoc/interfaces/GPUDeviceDetectOutput.html
+++ b/docs/reference/api/typedoc/interfaces/GPUDeviceDetectOutput.html
@@ -20,7 +20,7 @@
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<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/webgpu.ts#L27">webgpu.ts:27</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/webgpu.ts#L27">webgpu.ts:27</a></li></ul></aside>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/webgpu.ts#L28">webgpu.ts:28</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/webgpu.ts#L28">webgpu.ts:28</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="adapterInfo" class="tsd-anchor"></a>
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-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/webgpu.ts#L29">webgpu.ts:29</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/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/7ae7ea836/web/src/webgpu.ts#L30">webgpu.ts:30</a></li></ul></aside></section></section></div>
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diff --git a/docs/reference/api/typedoc/interfaces/InitProgressReport.html b/docs/reference/api/typedoc/interfaces/InitProgressReport.html
index dc648a5e0a..17ac2e7f26 100644
--- a/docs/reference/api/typedoc/interfaces/InitProgressReport.html
+++ b/docs/reference/api/typedoc/interfaces/InitProgressReport.html
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<ul class="tsd-hierarchy">
<li><span class="target">InitProgressReport</span></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/runtime.ts#L1002">runtime.ts:1002</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L1002">runtime.ts:1002</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
<section class="tsd-panel tsd-index-panel">
<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -38,17 +38,17 @@
<h3 class="tsd-anchor-link"><span>progress</span><a href="#progress" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><path stroke="none" d="M0 0h24v24H0z" fill="none" id="icon-anchor-a"></path><path d="M10 14a3.5 3.5 0 0 0 5 0l4 -4a3.5 3.5 0 0 0 -5 -5l-.5 .5" id="icon-anchor-b"></path><path d="M14 10a3.5 3.5 0 0 0 -5 0l-4 4a3. [...]
<div class="tsd-signature"><span class="tsd-kind-property">progress</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/runtime.ts#L1003">runtime.ts:1003</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L1003">runtime.ts:1003</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="text" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>text</span><a href="#text" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">text</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">string</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/runtime.ts#L1005">runtime.ts:1005</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L1005">runtime.ts:1005</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="timeElapsed" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>time<wbr/>Elapsed</span><a href="#timeElapsed" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">time<wbr/>Elapsed</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/runtime.ts#L1004">runtime.ts:1004</a></li></ul></aside></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/runtime.ts#L1004">runtime.ts:1004</a></li></ul></aside></section></section></div>
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<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/interfaces/LibraryProvider.html b/docs/reference/api/typedoc/interfaces/LibraryProvider.html
index da8a9a8aa1..fd772aadaa 100644
--- a/docs/reference/api/typedoc/interfaces/LibraryProvider.html
+++ b/docs/reference/api/typedoc/interfaces/LibraryProvider.html
@@ -32,7 +32,7 @@ to allow the library provider to initialize related resources during startup tim
<ul class="tsd-hierarchy">
<li><a href="../classes/_internal_.Environment.html" class="tsd-signature-type tsd-kind-class">Environment</a></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/types.ts#L32">types.ts:32</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/types.ts#L32">types.ts:32</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
<section class="tsd-panel tsd-index-panel">
<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -51,7 +51,7 @@ to allow the library provider to initialize related resources during startup tim
<div class="tsd-comment tsd-typography"><p>The imports that can be passed to WebAssembly instance creation.</p>
</div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/types.ts#L34">types.ts:34</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/types.ts#L34">types.ts:34</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="start" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>start</span><a href="#start" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">start</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">(</span><span class="tsd-signature-symbol">(</span><span class="tsd-kind-parameter">inst</span><span class="tsd-signature-symbol">)</span><span class="tsd-signature-symbol"> => </span><span class="tsd-signature-type">void</span><span class="tsd-signature-symbol">)</span></div>
@@ -73,7 +73,7 @@ to allow the library provider to initialize related resources during startup tim
</div></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4></li></ul></li></ul></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/types.ts#L39">types.ts:39</a></li></ul></aside></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/types.ts#L39">types.ts:39</a></li></ul></aside></section></section></div>
<div class="col-sidebar">
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<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/interfaces/_internal_.FunctionInfo.html b/docs/reference/api/typedoc/interfaces/_internal_.FunctionInfo.html
index 9fd4963f3b..27e020e74a 100644
--- a/docs/reference/api/typedoc/interfaces/_internal_.FunctionInfo.html
+++ b/docs/reference/api/typedoc/interfaces/_internal_.FunctionInfo.html
@@ -24,7 +24,7 @@
<ul class="tsd-hierarchy">
<li><span class="target">FunctionInfo</span></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/webgpu.ts#L376">webgpu.ts:376</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/webgpu.ts#L376">webgpu.ts:376</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">
@@ -42,17 +42,17 @@
<h3 class="tsd-anchor-link"><span>arg_<wbr/>types</span><a href="#arg_types" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><path stroke="none" d="M0 0h24v24H0z" fill="none" id="icon-anchor-a"></path><path d="M10 14a3.5 3.5 0 0 0 5 0l4 -4a3.5 3.5 0 0 0 -5 -5l-.5 .5" id="icon-anchor-b"></path><path d="M14 10a3.5 3.5 0 0 0 -5 0 [...]
<div class="tsd-signature"><span class="tsd-kind-property">arg_<wbr/>types</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">[]</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/webgpu.ts#L378">webgpu.ts:378</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/webgpu.ts#L378">webgpu.ts:378</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="launch_param_tags" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>launch_<wbr/>param_<wbr/>tags</span><a href="#launch_param_tags" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" 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">launch_<wbr/>param_<wbr/>tags</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">[]</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/webgpu.ts#L379">webgpu.ts:379</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/webgpu.ts#L379">webgpu.ts:379</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="name" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>name</span><a href="#name" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">name</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">string</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/webgpu.ts#L377">webgpu.ts:377</a></li></ul></aside></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/webgpu.ts#L377">webgpu.ts:377</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 f0eb40eef7..eae1c4c2f6 100644
--- a/docs/reference/api/typedoc/interfaces/_internal_.NDArrayCacheEntry.html
+++ b/docs/reference/api/typedoc/interfaces/_internal_.NDArrayCacheEntry.html
@@ -21,7 +21,7 @@
<ul class="tsd-hierarchy">
<li><span class="target">NDArrayCacheEntry</span></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/artifact_cache.ts#L20">artifact_cache.ts:20</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/artifact_cache.ts#L20">artifact_cache.ts:20</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
<section class="tsd-panel tsd-index-panel">
<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -42,32 +42,32 @@
<h3 class="tsd-anchor-link"><span>byte<wbr/>Offset</span><a href="#byteOffset" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><path stroke="none" d="M0 0h24v24H0z" fill="none" id="icon-anchor-a"></path><path d="M10 14a3.5 3.5 0 0 0 5 0l4 -4a3.5 3.5 0 0 0 -5 -5l-.5 .5" id="icon-anchor-b"></path><path d="M14 10a3.5 3.5 0 0 0 -5 [...]
<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/92e2bba08/web/src/artifact_cache.ts#L25">artifact_cache.ts:25</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/artifact_cache.ts#L25">artifact_cache.ts:25</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><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/artifact_cache.ts#L23">artifact_cache.ts:23</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/artifact_cache.ts#L23">artifact_cache.ts:23</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>
<div class="tsd-signature"><span class="tsd-kind-property">format</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">"f32-to-bf16"</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">"raw"</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/artifact_cache.ts#L24">artifact_cache.ts:24</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/artifact_cache.ts#L24">artifact_cache.ts:24</a></li></ul></aside></section>
<section class="tsd-panel tsd-member"><a id="name" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>name</span><a href="#name" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature"><span class="tsd-kind-property">name</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">string</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/artifact_cache.ts#L21">artifact_cache.ts:21</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/artifact_cache.ts#L21">artifact_cache.ts:21</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>
<div class="tsd-signature"><span class="tsd-kind-property">nbytes</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/artifact_cache.ts#L26">artifact_cache.ts:26</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/artifact_cache.ts#L26">artifact_cache.ts:26</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">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/artifact_cache.ts#L22">artifact_cache.ts:22</a></li></ul></aside></section></section></div>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/artifact_cache.ts#L22">artifact_cache.ts:22</a></li></ul></aside></section></section></div>
<div class="col-sidebar">
<div class="page-menu">
<div class="tsd-navigation settings">
diff --git a/docs/reference/api/typedoc/interfaces/_internal_.NDArrayShardEntry.html b/docs/reference/api/typedoc/interfaces/_internal_.NDArrayShardEntry.html
index cb5dea386a..8a22ff75c1 100644
--- a/docs/reference/api/typedoc/interfaces/_internal_.NDArrayShardEntry.html
+++ b/docs/reference/api/typedoc/interfaces/_internal_.NDArrayShardEntry.html
@@ -21,7 +21,7 @@
<ul class="tsd-hierarchy">
<li><span class="target">NDArrayShardEntry</span></li></ul></section><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/artifact_cache.ts#L29">artifact_cache.ts:29</a></li></ul></aside>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/artifact_cache.ts#L29">artifact_cache.ts:29</a></li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
<section class="tsd-panel tsd-index-panel">
<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@@ -40,22 +40,22 @@
<h3 class="tsd-anchor-link"><span>data<wbr/>Path</span><a href="#dataPath" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><path stroke="none" d="M0 0h24v24H0z" fill="none" id="icon-anchor-a"></path><path d="M10 14a3.5 3.5 0 0 0 5 0l4 -4a3.5 3.5 0 0 0 -5 -5l-.5 .5" id="icon-anchor-b"></path><path d="M14 10a3.5 3.5 0 0 0 -5 0l- [...]
<div class="tsd-signature"><span class="tsd-kind-property">data<wbr/>Path</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">string</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/artifact_cache.ts#L30">artifact_cache.ts:30</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/artifact_cache.ts#L30">artifact_cache.ts:30</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>
<div class="tsd-signature"><span class="tsd-kind-property">format</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">"raw-shard"</span></div><aside class="tsd-sources">
<ul>
-<li>Defined in <a href="https://github.com/apache/tvm/blob/92e2bba08/web/src/artifact_cache.ts#L31">artifact_cache.ts:31</a></li></ul></aside></section>
+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/artifact_cache.ts#L31">artifact_cache.ts:31</a></li></ul></aside></section>
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<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/7ae7ea836/web/src/artifact_cache.ts#L32">artifact_cache.ts:32</a></li></ul></aside></section>
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+<li>Defined in <a href="https://github.com/apache/tvm/blob/7ae7ea836/web/src/artifact_cache.ts#L33">artifact_cache.ts:33</a></li></ul></aside></section></section></div>
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<tr class="row-even"><td><p><a class="reference internal" href="tutorial/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">../../gallery/tutorial/autotvm_relay_x86.py</span></code>)</p></td>
-<td><p>15:38.839</p></td>
+<td><p>13:23.957</p></td>
<td><p>0.0</p></td>
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<tr class="row-odd"><td><p><a class="reference internal" href="how_to/work_with_microtvm/micro_train.html#sphx-glr-how-to-work-with-microtvm-micro-train-py"><span class="std std-ref">5. Training Vision Models for microTVM on Arduino</span></a> (<code class="docutils literal notranslate"><span class="pre">../../gallery/how_to/work_with_microtvm/micro_train.py</span></code>)</p></td>
-<td><p>04:57.988</p></td>
+<td><p>04:57.964</p></td>
<td><p>0.0</p></td>
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<tr class="row-even"><td><p><a class="reference internal" href="how_to/deploy_models/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">../../gallery/how_to/deploy_models/deploy_object_detection_pytorch.py</span></code>)</p></td>
-<td><p>04:37.081</p></td>
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<td><p>0.0</p></td>
</tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="how_to/tutorials/optimize_llm.html#sphx-glr-how-to-tutorials-optimize-llm-py"><span class="std std-ref">Optimize Large Language Model</span></a> (<code class="docutils literal notranslate"><span class="pre">../how_to/tutorials/optimize_llm.py</span></code>)</p></td>
-<td><p>02:37.541</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="how_to/compile_models/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">../../gallery/how_to/compile_models/from_darknet.py</span></code>)</p></td>
+<td><p>01:39.210</p></td>
<td><p>0.0</p></td>
</tr>
-<tr class="row-even"><td><p><a class="reference internal" href="tutorial/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">../../gallery/tutorial/auto_scheduler_matmul_x86.py</span></code>)</p></td>
-<td><p>02:04.726</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="how_to/tune_with_autoscheduler/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">../../gallery/how_to/tune_with_autoscheduler/tune_network_x86.py</span></code>)</p></td>
+<td><p>01:39.201</p></td>
<td><p>0.0</p></td>
</tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="how_to/deploy_models/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">../../gallery/how_to/deploy_models/deploy_prequantized.py</span></code>)</p></td>
-<td><p>01:52.686</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="how_to/compile_models/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">../../gallery/how_to/compile_models/from_tensorflow.py</span></code>)</p></td>
+<td><p>01:36.387</p></td>
<td><p>0.0</p></td>
</tr>
-<tr class="row-even"><td><p><a class="reference internal" href="how_to/tune_with_autoscheduler/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">../../gallery/how_to/tune_with_autoscheduler/tune_network_x86.py</span></code>)</p></td>
-<td><p>01:50.828</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="how_to/deploy_models/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">../../gallery/how_to/deploy_models/deploy_prequantized.py</span></code>)</p></td>
+<td><p>01:36.118</p></td>
<td><p>0.0</p></td>
</tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="how_to/compile_models/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">../../gallery/how_to/compile_models/from_tensorflow.py</span></code>)</p></td>
-<td><p>01:46.340</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="how_to/work_with_microtvm/micro_pytorch.html#sphx-glr-how-to-work-with-microtvm-micro-pytorch-py"><span class="std std-ref">4. microTVM PyTorch Tutorial</span></a> (<code class="docutils literal notranslate"><span class="pre">../../gallery/how_to/work_with_microtvm/micro_pytorch.py</span></code>)</p></td>
+<td><p>01:34.071</p></td>
<td><p>0.0</p></td>
</tr>
-<tr class="row-even"><td><p><a class="reference internal" href="how_to/work_with_microtvm/micro_pytorch.html#sphx-glr-how-to-work-with-microtvm-micro-pytorch-py"><span class="std std-ref">4. microTVM PyTorch Tutorial</span></a> (<code class="docutils literal notranslate"><span class="pre">../../gallery/how_to/work_with_microtvm/micro_pytorch.py</span></code>)</p></td>
-<td><p>01:46.172</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="tutorial/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">../../gallery/tutorial/auto_scheduler_matmul_x86.py</span></code>)</p></td>
+<td><p>01:29.098</p></td>
<td><p>0.0</p></td>
</tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="how_to/compile_models/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">../../gallery/how_to/compile_models/from_darknet.py</span></code>)</p></td>
-<td><p>01:44.860</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="how_to/work_with_microtvm/micro_autotune.html#sphx-glr-how-to-work-with-microtvm-micro-autotune-py"><span class="std std-ref">6. Model Tuning with microTVM</span></a> (<code class="docutils literal notranslate"><span class="pre">../../gallery/how_to/work_with_microtvm/micro_autotune.py</span></code>)</p></td>
+<td><p>01:28.738</p></td>
<td><p>0.0</p></td>
</tr>
-<tr class="row-even"><td><p><a class="reference internal" href="how_to/work_with_microtvm/micro_autotune.html#sphx-glr-how-to-work-with-microtvm-micro-autotune-py"><span class="std std-ref">6. Model Tuning with microTVM</span></a> (<code class="docutils literal notranslate"><span class="pre">../../gallery/how_to/work_with_microtvm/micro_autotune.py</span></code>)</p></td>
-<td><p>01:40.831</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="how_to/tutorials/optimize_llm.html#sphx-glr-how-to-tutorials-optimize-llm-py"><span class="std std-ref">Optimize Large Language Model</span></a> (<code class="docutils literal notranslate"><span class="pre">../how_to/tutorials/optimize_llm.py</span></code>)</p></td>
+<td><p>01:20.942</p></td>
<td><p>0.0</p></td>
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<tr class="row-odd"><td><p><a class="reference internal" href="how_to/deploy_models/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">../../gallery/how_to/deploy_models/deploy_model_on_adreno.py</span></code>)</p></td>
-<td><p>01:25.280</p></td>
+<td><p>01:19.486</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="how_to/tune_with_autoscheduler/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">../../gallery/how_to/tune_with_autoscheduler/tune_network_cuda.py</span></code>)</p></td>
-<td><p>01:18.567</p></td>
+<td><p>01:15.539</p></td>
<td><p>0.0</p></td>
</tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="how_to/deploy_models/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">../../gallery/how_to/deploy_models/deploy_model_on_adreno_tvmc.py</span></code>)</p></td>
-<td><p>01:14.549</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="how_to/compile_models/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">../../gallery/how_to/compile_models/from_paddle.py</span></code>)</p></td>
+<td><p>01:06.833</p></td>
<td><p>0.0</p></td>
</tr>
-<tr class="row-even"><td><p><a class="reference internal" href="how_to/compile_models/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">../../gallery/how_to/compile_models/from_paddle.py</span></code>)</p></td>
-<td><p>01:13.707</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="how_to/deploy_models/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">../../gallery/how_to/deploy_models/deploy_model_on_adreno_tvmc.py</span></code>)</p></td>
+<td><p>01:03.927</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="tutorial/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">../../gallery/tutorial/tensor_expr_get_started.py</span></code>)</p></td>
-<td><p>01:13.548</p></td>
+<td><p>00:57.888</p></td>
<td><p>0.0</p></td>
</tr>
-<tr class="row-even"><td><p><a class="reference internal" href="how_to/deploy_models/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">../../gallery/how_to/deploy_models/deploy_model_on_android.py</span></code>)</p></td>
-<td><p>01:02.676</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="how_to/deploy_models/deploy_prequantized_tflite.html#sphx-glr-how-to-deploy-models-deploy-prequantized-tflite-py"><span class="std std-ref">Deploy a Framework-prequantized Model with TVM - Part 3 (TFLite)</span></a> (<code class="docutils literal notranslate"><span class="pre">../../gallery/how_to/deploy_models/deploy_prequantized_tflite.py</span></code>)</p></td>
+<td><p>00:54.256</p></td>
<td><p>0.0</p></td>
</tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="how_to/deploy_models/deploy_prequantized_tflite.html#sphx-glr-how-to-deploy-models-deploy-prequantized-tflite-py"><span class="std std-ref">Deploy a Framework-prequantized Model with TVM - Part 3 (TFLite)</span></a> (<code class="docutils literal notranslate"><span class="pre">../../gallery/how_to/deploy_models/deploy_prequantized_tflite.py</span></code>)</p></td>
-<td><p>00:58.365</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="how_to/deploy_models/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">../../gallery/how_to/deploy_models/deploy_model_on_android.py</span></code>)</p></td>
+<td><p>00:54.107</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="tutorial/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">../../gallery/tutorial/relay_quick_start.py</span></code>)</p></td>
-<td><p>00:48.395</p></td>
+<td><p>00:44.263</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="how_to/compile_models/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">../../gallery/how_to/compile_models/from_coreml.py</span></code>)</p></td>
-<td><p>00:47.238</p></td>
+<td><p>00:41.074</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="how_to/work_with_relay/using_pipeline_executor.html#sphx-glr-how-to-work-with-relay-using-pipeline-executor-py"><span class="std std-ref">Using Pipeline Executor in Relay</span></a> (<code class="docutils literal notranslate"><span class="pre">../../gallery/how_to/work_with_relay/using_pipeline_executor.py</span></code>)</p></td>
-<td><p>00:36.910</p></td>
+<td><p>00:34.941</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="how_to/deploy_models/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">../../gallery/how_to/deploy_models/deploy_model_on_nano.py</span></code>)</p></td>
-<td><p>00:35.292</p></td>
+<td><p>00:30.989</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="how_to/deploy_models/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">../../gallery/how_to/deploy_models/deploy_model_on_rasp.py</span></code>)</p></td>
-<td><p>00:34.953</p></td>
+<td><p>00:30.736</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="how_to/optimize_operators/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">../../gallery/how_to/optimize_operators/opt_gemm.py</span></code>)</p></td>
-<td><p>00:33.693</p></td>
+<td><p>00:30.389</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="how_to/compile_models/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">../../gallery/how_to/compile_models/from_pytorch.py</span></code>)</p></td>
-<td><p>00:32.273</p></td>
+<td><p>00:29.254</p></td>
<td><p>0.0</p></td>
</tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="how_to/compile_models/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">../../gallery/how_to/compile_models/from_keras.py</span></code>)</p></td>
-<td><p>00:30.347</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="tutorial/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">../../gallery/tutorial/autotvm_matmul_x86.py</span></code>)</p></td>
+<td><p>00:27.186</p></td>
<td><p>0.0</p></td>
</tr>
-<tr class="row-even"><td><p><a class="reference internal" href="how_to/tune_with_autotvm/tune_conv2d_cuda.html#sphx-glr-how-to-tune-with-autotvm-tune-conv2d-cuda-py"><span class="std std-ref">Tuning High Performance Convolution on NVIDIA GPUs</span></a> (<code class="docutils literal notranslate"><span class="pre">../../gallery/how_to/tune_with_autotvm/tune_conv2d_cuda.py</span></code>)</p></td>
-<td><p>00:23.079</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="how_to/compile_models/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">../../gallery/how_to/compile_models/from_keras.py</span></code>)</p></td>
+<td><p>00:26.886</p></td>
<td><p>0.0</p></td>
</tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="how_to/tune_with_autoscheduler/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">../../gallery/how_to/tune_with_autoscheduler/tune_network_arm.py</span></code>)</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="how_to/tune_with_autotvm/tune_conv2d_cuda.html#sphx-glr-how-to-tune-with-autotvm-tune-conv2d-cuda-py"><span class="std std-ref">Tuning High Performance Convolution on NVIDIA GPUs</span></a> (<code class="docutils literal notranslate"><span class="pre">../../gallery/how_to/tune_with_autotvm/tune_conv2d_cuda.py</span></code>)</p></td>
<td><p>00:22.988</p></td>
<td><p>0.0</p></td>
</tr>
-<tr class="row-even"><td><p><a class="reference internal" href="how_to/tune_with_autoscheduler/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">../../gallery/how_to/tune_with_autoscheduler/tune_network_mali.py</span></code>)</p></td>
-<td><p>00:22.309</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="how_to/tune_with_autoscheduler/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">../../gallery/how_to/tune_with_autoscheduler/tune_network_arm.py</span></code>)</p></td>
+<td><p>00:21.468</p></td>
<td><p>0.0</p></td>
</tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="tutorial/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">../../gallery/tutorial/autotvm_matmul_x86.py</span></code>)</p></td>
-<td><p>00:19.135</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="how_to/tune_with_autoscheduler/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">../../gallery/how_to/tune_with_autoscheduler/tune_network_mali.py</span></code>)</p></td>
+<td><p>00:18.476</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="how_to/tune_with_autoscheduler/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">../../gallery/how_to/tune_with_autoscheduler/tune_conv2d_layer_cuda.py</span></code>)</p></td>
-<td><p>00:15.041</p></td>
+<td><p>00:14.953</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="how_to/work_with_microtvm/micro_aot.html#sphx-glr-how-to-work-with-microtvm-micro-aot-py"><span class="std std-ref">3. microTVM Ahead-of-Time (AOT) Compilation</span></a> (<code class="docutils literal notranslate"><span class="pre">../../gallery/how_to/work_with_microtvm/micro_aot.py</span></code>)</p></td>
-<td><p>00:14.386</p></td>
+<td><p>00:12.530</p></td>
<td><p>0.0</p></td>
</tr>
-<tr class="row-even"><td><p><a class="reference internal" href="how_to/work_with_microtvm/micro_custom_ide.html#sphx-glr-how-to-work-with-microtvm-micro-custom-ide-py"><span class="std std-ref">9. Bring microTVM to your own development environment</span></a> (<code class="docutils literal notranslate"><span class="pre">../../gallery/how_to/work_with_microtvm/micro_custom_ide.py</span></code>)</p></td>
-<td><p>00:12.820</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="how_to/compile_models/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">../../gallery/how_to/compile_models/from_tflite.py</span></code>)</p></td>
+<td><p>00:11.920</p></td>
<td><p>0.0</p></td>
</tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="how_to/compile_models/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">../../gallery/how_to/compile_models/from_tflite.py</span></code>)</p></td>
-<td><p>00:12.541</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="how_to/work_with_microtvm/micro_custom_ide.html#sphx-glr-how-to-work-with-microtvm-micro-custom-ide-py"><span class="std std-ref">9. Bring microTVM to your own development environment</span></a> (<code class="docutils literal notranslate"><span class="pre">../../gallery/how_to/work_with_microtvm/micro_custom_ide.py</span></code>)</p></td>
+<td><p>00:10.956</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="how_to/work_with_microtvm/micro_tflite.html#sphx-glr-how-to-work-with-microtvm-micro-tflite-py"><span class="std std-ref">2. microTVM TFLite Tutorial</span></a> (<code class="docutils literal notranslate"><span class="pre">../../gallery/how_to/work_with_microtvm/micro_tflite.py</span></code>)</p></td>
-<td><p>00:09.523</p></td>
+<td><p>00:08.186</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="how_to/work_with_relay/using_external_lib.html#sphx-glr-how-to-work-with-relay-using-external-lib-py"><span class="std std-ref">Using External Libraries in Relay</span></a> (<code class="docutils literal notranslate"><span class="pre">../../gallery/how_to/work_with_relay/using_external_lib.py</span></code>)</p></td>
-<td><p>00:04.011</p></td>
+<td><p>00:03.839</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="how_to/extend_tvm/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">../../gallery/how_to/extend_tvm/use_pass_instrument.py</span></code>)</p></td>
-<td><p>00:03.715</p></td>
+<td><p>00:03.010</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="how_to/compile_models/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">../../gallery/how_to/compile_models/from_onnx.py</span></code>)</p></td>
-<td><p>00:03.161</p></td>
+<td><p>00:02.815</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="how_to/tutorials/e2e_opt_model.html#sphx-glr-how-to-tutorials-e2e-opt-model-py"><span class="std std-ref">End-to-End Optimize Model</span></a> (<code class="docutils literal notranslate"><span class="pre">../how_to/tutorials/e2e_opt_model.py</span></code>)</p></td>
-<td><p>00:03.018</p></td>
+<td><p>00:02.667</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="get_started/tutorials/ir_module.html#sphx-glr-get-started-tutorials-ir-module-py"><span class="std std-ref">IRModule</span></a> (<code class="docutils literal notranslate"><span class="pre">../get_started/tutorials/ir_module.py</span></code>)</p></td>
-<td><p>00:02.979</p></td>
+<td><p>00:02.453</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="how_to/work_with_relay/build_gcn.html#sphx-glr-how-to-work-with-relay-build-gcn-py"><span class="std std-ref">Building a Graph Convolutional Network</span></a> (<code class="docutils literal notranslate"><span class="pre">../../gallery/how_to/work_with_relay/build_gcn.py</span></code>)</p></td>
-<td><p>00:02.252</p></td>
+<td><p>00:02.093</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="how_to/optimize_operators/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">../../gallery/how_to/optimize_operators/opt_conv_tensorcore.py</span></code>)</p></td>
-<td><p>00:02.043</p></td>
+<td><p>00:02.029</p></td>
<td><p>0.0</p></td>
</tr>
-<tr class="row-even"><td><p><a class="reference internal" href="how_to/extend_tvm/use_pass_infra.html#sphx-glr-how-to-extend-tvm-use-pass-infra-py"><span class="std std-ref">How to Use TVM Pass Infra</span></a> (<code class="docutils literal notranslate"><span class="pre">../../gallery/how_to/extend_tvm/use_pass_infra.py</span></code>)</p></td>
-<td><p>00:01.585</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="how_to/work_with_schedules/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">../../gallery/how_to/work_with_schedules/tensorize.py</span></code>)</p></td>
+<td><p>00:01.428</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="tutorial/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">../../gallery/tutorial/tensor_ir_blitz_course.py</span></code>)</p></td>
-<td><p>00:01.500</p></td>
+<td><p>00:01.385</p></td>
<td><p>0.0</p></td>
</tr>
-<tr class="row-even"><td><p><a class="reference internal" href="how_to/work_with_schedules/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">../../gallery/how_to/work_with_schedules/tensorize.py</span></code>)</p></td>
-<td><p>00:01.445</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="how_to/extend_tvm/use_pass_infra.html#sphx-glr-how-to-extend-tvm-use-pass-infra-py"><span class="std std-ref">How to Use TVM Pass Infra</span></a> (<code class="docutils literal notranslate"><span class="pre">../../gallery/how_to/extend_tvm/use_pass_infra.py</span></code>)</p></td>
+<td><p>00:01.347</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="how_to/optimize_operators/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">../../gallery/how_to/optimize_operators/opt_conv_cuda.py</span></code>)</p></td>
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<tr class="row-odd"><td><p><a class="reference internal" href="how_to/tutorials/customize_opt.html#sphx-glr-how-to-tutorials-customize-opt-py"><span class="std std-ref">Customize Optimization</span></a> (<code class="docutils literal notranslate"><span class="pre">../how_to/tutorials/customize_opt.py</span></code>)</p></td>
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<tr class="row-odd"><td><p><a class="reference internal" href="how_to/work_with_schedules/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">../../gallery/how_to/work_with_schedules/reduction.py</span></code>)</p></td>
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<tr class="row-even"><td><p><a class="reference internal" href="how_to/work_with_schedules/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">../../gallery/how_to/work_with_schedules/scan.py</span></code>)</p></td>
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<tr class="row-odd"><td><p><a class="reference internal" href="deep_dive/tensor_ir/tutorials/tir_transformation.html#sphx-glr-deep-dive-tensor-ir-tutorials-tir-transformation-py"><span class="std std-ref">Transformation</span></a> (<code class="docutils literal notranslate"><span class="pre">../deep_dive/tensor_ir/tutorials/tir_transformation.py</span></code>)</p></td>
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<td><p>0.0</p></td>
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<tr class="row-even"><td><p><a class="reference internal" href="deep_dive/tensor_ir/tutorials/tir_creation.html#sphx-glr-deep-dive-tensor-ir-tutorials-tir-creation-py"><span class="std std-ref">TensorIR Creation</span></a> (<code class="docutils literal notranslate"><span class="pre">../deep_dive/tensor_ir/tutorials/tir_creation.py</span></code>)</p></td>
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<td><p>0.0</p></td>
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<tr class="row-odd"><td><p><a class="reference internal" href="get_started/tutorials/quick_start.html#sphx-glr-get-started-tutorials-quick-start-py"><span class="std std-ref">Quick Start</span></a> (<code class="docutils literal notranslate"><span class="pre">../get_started/tutorials/quick_start.py</span></code>)</p></td>
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<td><p>0.0</p></td>
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<tr class="row-even"><td><p><a class="reference internal" href="deep_dive/relax/tutorials/relax_creation.html#sphx-glr-deep-dive-relax-tutorials-relax-creation-py"><span class="std std-ref">Relax Creation</span></a> (<code class="docutils literal notranslate"><span class="pre">../deep_dive/relax/tutorials/relax_creation.py</span></code>)</p></td>
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<td><p>0.0</p></td>
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<tr class="row-odd"><td><p><a class="reference internal" href="how_to/work_with_schedules/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">../../gallery/how_to/work_with_schedules/extern_op.py</span></code>)</p></td>
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<td><p>0.0</p></td>
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<tr class="row-even"><td><p><a class="reference internal" href="how_to/tune_with_autoscheduler/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">../../gallery/how_to/tune_with_autoscheduler/tune_sparse_x86.py</span></code>)</p></td>
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<td><p>0.0</p></td>
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<tr class="row-odd"><td><p><a class="reference internal" href="deep_dive/relax/tutorials/relax_transformation.html#sphx-glr-deep-dive-relax-tutorials-relax-transformation-py"><span class="std std-ref">Transformation</span></a> (<code class="docutils literal notranslate"><span class="pre">../deep_dive/relax/tutorials/relax_transformation.py</span></code>)</p></td>
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<td><p>0.0</p></td>
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<tr class="row-even"><td><p><a class="reference internal" href="how_to/work_with_schedules/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">../../gallery/how_to/work_with_schedules/schedule_primitives.py</span></code>)</p></td>
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<td><p>0.0</p></td>
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<tr class="row-odd"><td><p><a class="reference internal" href="how_to/work_with_schedules/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">../../gallery/how_to/work_with_schedules/tedd.py</span></code>)</p></td>
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<td><p>0.0</p></td>
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<tr class="row-even"><td><p><a class="reference internal" href="how_to/work_with_schedules/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">../../gallery/how_to/work_with_schedules/tuple_inputs.py</span></code>)</p></td>
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<td><p>0.0</p></td>
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<tr class="row-odd"><td><p><a class="reference internal" href="how_to/tune_with_autotvm/tune_relay_x86.html#sphx-glr-how-to-tune-with-autotvm-tune-relay-x86-py"><span class="std std-ref">Auto-tuning a Convolutional Network for x86 CPU</span></a> (<code class="docutils literal notranslate"><span class="pre">../../gallery/how_to/tune_with_autotvm/tune_relay_x86.py</span></code>)</p></td>
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<td><p>0.0</p></td>
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<tr class="row-even"><td><p><a class="reference internal" href="how_to/extend_tvm/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">../../gallery/how_to/extend_tvm/low_level_custom_pass.py</span></code>)</p></td>
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<td><p>0.0</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="how_to/deploy_models/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">../../gallery/how_to/deploy_models/deploy_sparse.py</span></code>)</p></td>
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<td><p>0.0</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="how_to/work_with_relay/using_relay_viz.html#sphx-glr-how-to-work-with-relay-using-relay-viz-py"><span class="std std-ref">Use Relay Visualizer to Visualize Relay</span></a> (<code class="docutils literal notranslate"><span class="pre">../../gallery/how_to/work_with_relay/using_relay_viz.py</span></code>)</p></td>
-<td><p>00:00.007</p></td>
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<td><p>0.0</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="how_to/tune_with_autotvm/tune_relay_arm.html#sphx-glr-how-to-tune-with-autotvm-tune-relay-arm-py"><span class="std std-ref">Auto-tuning a Convolutional Network for ARM CPU</span></a> (<code class="docutils literal notranslate"><span class="pre">../../gallery/how_to/tune_with_autotvm/tune_relay_arm.py</span></code>)</p></td>
@@ -598,10 +598,10 @@ $(document).ready( function () {
<td><p>0.0</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="how_to/tune_with_autotvm/tune_relay_cuda.html#sphx-glr-how-to-tune-with-autotvm-tune-relay-cuda-py"><span class="std std-ref">Auto-tuning a Convolutional Network for NVIDIA GPU</span></a> (<code class="docutils literal notranslate"><span class="pre">../../gallery/how_to/tune_with_autotvm/tune_relay_cuda.py</span></code>)</p></td>
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+<td><p>00:00.004</p></td>
<td><p>0.0</p></td>
</tr>
-<tr class="row-even"><td><p><a class="reference internal" href="tutorial/introduction.html#sphx-glr-tutorial-introduction-py"><span class="std std-ref">Introduction</span></a> (<code class="docutils literal notranslate"><span class="pre">../../gallery/tutorial/introduction.py</span></code>)</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="tutorial/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">../../gallery/tutorial/uma.py</span></code>)</p></td>
<td><p>00:00.000</p></td>
<td><p>0.0</p></td>
</tr>
@@ -609,19 +609,19 @@ $(document).ready( function () {
<td><p>00:00.000</p></td>
<td><p>0.0</p></td>
</tr>
-<tr class="row-even"><td><p><a class="reference internal" href="tutorial/tvmc_python.html#sphx-glr-tutorial-tvmc-python-py"><span class="std std-ref">Getting Starting using TVMC Python: a high-level API for TVM</span></a> (<code class="docutils literal notranslate"><span class="pre">../../gallery/tutorial/tvmc_python.py</span></code>)</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="tutorial/tvmc_command_line_driver.html#sphx-glr-tutorial-tvmc-command-line-driver-py"><span class="std std-ref">Compiling and Optimizing a Model with TVMC</span></a> (<code class="docutils literal notranslate"><span class="pre">../../gallery/tutorial/tvmc_command_line_driver.py</span></code>)</p></td>
<td><p>00:00.000</p></td>
<td><p>0.0</p></td>
</tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="tutorial/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">../../gallery/tutorial/uma.py</span></code>)</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="how_to/work_with_microtvm/micro_tvmc.html#sphx-glr-how-to-work-with-microtvm-micro-tvmc-py"><span class="std std-ref">1. microTVM CLI Tool</span></a> (<code class="docutils literal notranslate"><span class="pre">../../gallery/how_to/work_with_microtvm/micro_tvmc.py</span></code>)</p></td>
<td><p>00:00.000</p></td>
<td><p>0.0</p></td>
</tr>
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+<tr class="row-even"><td><p><a class="reference internal" href="tutorial/tvmc_python.html#sphx-glr-tutorial-tvmc-python-py"><span class="std std-ref">Getting Starting using TVMC Python: a high-level API for TVM</span></a> (<code class="docutils literal notranslate"><span class="pre">../../gallery/tutorial/tvmc_python.py</span></code>)</p></td>
<td><p>00:00.000</p></td>
<td><p>0.0</p></td>
</tr>
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+<tr class="row-odd"><td><p><a class="reference internal" href="tutorial/introduction.html#sphx-glr-tutorial-introduction-py"><span class="std std-ref">Introduction</span></a> (<code class="docutils literal notranslate"><span class="pre">../../gallery/tutorial/introduction.py</span></code>)</p></td>
<td><p>00:00.000</p></td>
<td><p>0.0</p></td>
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diff --git a/docs/tutorial/auto_scheduler_matmul_x86.html b/docs/tutorial/auto_scheduler_matmul_x86.html
index e8a42a8eaf..18f25a9939 100644
--- a/docs/tutorial/auto_scheduler_matmul_x86.html
+++ b/docs/tutorial/auto_scheduler_matmul_x86.html
@@ -536,7 +536,7 @@ 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: 98.530 ms
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Execution time of this operator: 91.560 ms
</pre></div>
</div>
</section>
@@ -598,7 +598,6 @@ resume the status and do more 5 trials.</p>
</pre></div>
</div>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Resume search:
-*E
</pre></div>
</div>
</section>
@@ -609,7 +608,7 @@ automatically optimize a matrix multiplication, without the need to specify a
search template. It ends a series of examples that starts from the Tensor
Expression (TE) language that demonstrates how TVM can optimize computational
operations.</p>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (2 minutes 4.726 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (1 minutes 29.098 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-jupyter docutils container">
<p><a class="reference download internal" download="" href="../_downloads/246d4b8509474fd9046e69f6cc9b7f87/auto_scheduler_matmul_x86.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">auto_scheduler_matmul_x86.ipynb</span></code></a></p>
diff --git a/docs/tutorial/autotvm_matmul_x86.html b/docs/tutorial/autotvm_matmul_x86.html
index 41fdf0c797..f1de97e413 100644
--- a/docs/tutorial/autotvm_matmul_x86.html
+++ b/docs/tutorial/autotvm_matmul_x86.html
@@ -647,16 +647,16 @@ reduce variance, we take 5 measurements and average them.</p>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>waiting for device...
device available
Get devices for measurement successfully!
-No: 1 GFLOPS: 10.95/10.95 result: MeasureResult(costs=(0.0245119516,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.8840832710266113, timestamp=1732589428.7698903) [('tile_y', [-1, 16]), ('tile_x', [-1, 256])],None,84
-No: 2 GFLOPS: 10.07/10.95 result: MeasureResult(costs=(0.026645933000000004,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.8863484859466553, timestamp=1732589429.4783053) [('tile_y', [-1, 2]), ('tile_x', [-1, 512])],None,91
-No: 3 GFLOPS: 10.37/10.95 result: MeasureResult(costs=(0.025885849,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.957975149154663, timestamp=1732589430.167935) [('tile_y', [-1, 8]), ('tile_x', [-1, 64])],None,63
-No: 4 GFLOPS: 2.00/10.95 result: MeasureResult(costs=(0.1341405024,), error_no=MeasureErrorNo.NO_ERROR, all_cost=3.621044635772705, timestamp=1732589432.5852168) [('tile_y', [-1, 64]), ('tile_x', [-1, 4])],None,26
-No: 5 GFLOPS: 7.79/10.95 result: MeasureResult(costs=(0.0344403188,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.8635382652282715, timestamp=1732589433.5728538) [('tile_y', [-1, 4]), ('tile_x', [-1, 4])],None,22
-No: 6 GFLOPS: 2.02/10.95 result: MeasureResult(costs=(0.1327121472,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.4379401206970215, timestamp=1732589435.9727085) [('tile_y', [-1, 256]), ('tile_x', [-1, 4])],None,28
-No: 7 GFLOPS: 7.26/10.95 result: MeasureResult(costs=(0.0369682752,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.9007365703582764, timestamp=1732589436.838889) [('tile_y', [-1, 512]), ('tile_x', [-1, 16])],None,49
-No: 8 GFLOPS: 9.68/10.95 result: MeasureResult(costs=(0.027742440199999996,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7486660480499268, timestamp=1732589437.5546844) [('tile_y', [-1, 2]), ('tile_x', [-1, 8])],None,31
-No: 9 GFLOPS: 9.53/10.95 result: MeasureResult(costs=(0.0281780404,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.8649082183837891, timestamp=1732589438.5314975) [('tile_y', [-1, 2]), ('tile_x', [-1, 128])],None,71
-No: 10 GFLOPS: 12.24/12.24 result: MeasureResult(costs=(0.0219269224,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6491384506225586, timestamp=1732589439.1639242) [('tile_y', [-1, 32]), ('tile_x', [-1, 128])],None,75
+No: 1 GFLOPS: 9.70/9.70 result: MeasureResult(costs=(0.027670739399999998,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.751457929611206, timestamp=1732632924.1424587) [('tile_y', [-1, 4]), ('tile_x', [-1, 32])],None,52
+No: 2 GFLOPS: 3.40/9.70 result: MeasureResult(costs=(0.078901724,), error_no=MeasureErrorNo.NO_ERROR, all_cost=2.5537564754486084, timestamp=1732632925.6680558) [('tile_y', [-1, 512]), ('tile_x', [-1, 8])],None,39
+No: 3 GFLOPS: 1.05/9.70 result: MeasureResult(costs=(0.25628505220000003,), error_no=MeasureErrorNo.NO_ERROR, all_cost=5.38553261756897, timestamp=1732632930.0285497) [('tile_y', [-1, 1]), ('tile_x', [-1, 1])],None,0
+No: 4 GFLOPS: 10.20/10.20 result: MeasureResult(costs=(0.0263210656,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.8137915134429932, timestamp=1732632930.7131531) [('tile_y', [-1, 8]), ('tile_x', [-1, 128])],None,73
+No: 5 GFLOPS: 2.51/10.20 result: MeasureResult(costs=(0.1071084622,), error_no=MeasureErrorNo.NO_ERROR, all_cost=1.9710164070129395, timestamp=1732632932.837295) [('tile_y', [-1, 1]), ('tile_x', [-1, 2])],None,10
+No: 6 GFLOPS: 10.18/10.20 result: MeasureResult(costs=(0.0263649818,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6883533000946045, timestamp=1732632933.524602) [('tile_y', [-1, 512]), ('tile_x', [-1, 512])],None,99
+No: 7 GFLOPS: 16.88/16.88 result: MeasureResult(costs=(0.015901205999999998,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.5448765754699707, timestamp=1732632934.0388846) [('tile_y', [-1, 16]), ('tile_x', [-1, 64])],None,64
+No: 8 GFLOPS: 11.80/16.88 result: MeasureResult(costs=(0.0227527922,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.6605484485626221, timestamp=1732632934.6701832) [('tile_y', [-1, 64]), ('tile_x', [-1, 256])],None,86
+No: 9 GFLOPS: 9.18/16.88 result: MeasureResult(costs=(0.029234796999999996,), error_no=MeasureErrorNo.NO_ERROR, all_cost=0.7004678249359131, timestamp=1732632935.4820654) [('tile_y', [-1, 128]), ('tile_x', [-1, 16])],None,47
+No: 10 GFLOPS: 0.52/16.88 result: MeasureResult(costs=(0.5122421027999999,), error_no=MeasureErrorNo.NO_ERROR, all_cost=8.424883604049683, timestamp=1732632943.9398396) [('tile_y', [-1, 256]), ('tile_x', [-1, 1])],None,8
</pre></div>
</div>
<p>With tuning completed, we can choose the configuration from the log file that
diff --git a/docs/tutorial/autotvm_relay_x86.html b/docs/tutorial/autotvm_relay_x86.html
index 4413742213..1408851286 100644
--- a/docs/tutorial/autotvm_relay_x86.html
+++ b/docs/tutorial/autotvm_relay_x86.html
@@ -526,7 +526,7 @@ 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': 533.7428664900006, 'median': 527.4104991499996, 'std': 16.908155396589343}
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>{'mean': 475.58067993999884, 'median': 475.09462344999633, 'std': 2.4263582756098083}
</pre></div>
</div>
</section>
@@ -715,178 +715,178 @@ depending on the specifics of the model and the target platform.</p>
</pre></div>
</div>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>[Task 1/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 1/25] Current/Best: 18.32/ 22.23 GFLOPS | Progress: (4/20) | 10.23 s
-[Task 1/25] Current/Best: 16.55/ 22.23 GFLOPS | Progress: (8/20) | 13.34 s
-[Task 1/25] Current/Best: 9.81/ 22.23 GFLOPS | Progress: (12/20) | 17.02 s
-[Task 1/25] Current/Best: 12.68/ 22.23 GFLOPS | Progress: (16/20) | 19.55 s
-[Task 1/25] Current/Best: 11.95/ 22.23 GFLOPS | Progress: (20/20) | 22.40 s Done.
+[Task 1/25] Current/Best: 12.78/ 21.84 GFLOPS | Progress: (4/20) | 9.60 s
+[Task 1/25] Current/Best: 5.35/ 21.84 GFLOPS | Progress: (8/20) | 13.00 s
+[Task 1/25] Current/Best: 15.75/ 21.84 GFLOPS | Progress: (12/20) | 16.97 s
+[Task 1/25] Current/Best: 8.97/ 21.84 GFLOPS | Progress: (16/20) | 22.09 s
+[Task 1/25] Current/Best: 21.66/ 21.84 GFLOPS | Progress: (20/20) | 24.73 s Done.
[Task 2/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 2/25] Current/Best: 13.73/ 14.74 GFLOPS | Progress: (4/20) | 5.06 s
-[Task 2/25] Current/Best: 7.73/ 16.99 GFLOPS | Progress: (8/20) | 7.46 s
-[Task 2/25] Current/Best: 13.68/ 16.99 GFLOPS | Progress: (12/20) | 9.34 s
-[Task 2/25] Current/Best: 3.21/ 16.99 GFLOPS | Progress: (16/20) | 11.38 s
-[Task 2/25] Current/Best: 11.47/ 16.99 GFLOPS | Progress: (20/20) | 13.55 s Done.
+[Task 2/25] Current/Best: 11.98/ 15.89 GFLOPS | Progress: (4/20) | 4.29 s
+[Task 2/25] Current/Best: 13.67/ 21.51 GFLOPS | Progress: (8/20) | 6.12 s
+[Task 2/25] Current/Best: 23.01/ 23.01 GFLOPS | Progress: (12/20) | 7.60 s
+[Task 2/25] Current/Best: 14.14/ 23.01 GFLOPS | Progress: (16/20) | 9.07 s
+[Task 2/25] Current/Best: 13.33/ 23.01 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: 6.58/ 20.22 GFLOPS | Progress: (4/20) | 6.49 s
-[Task 3/25] Current/Best: 8.71/ 21.68 GFLOPS | Progress: (8/20) | 9.65 s
-[Task 3/25] Current/Best: 11.70/ 21.68 GFLOPS | Progress: (12/20) | 12.28 s
-[Task 3/25] Current/Best: 14.52/ 23.62 GFLOPS | Progress: (16/20) | 14.50 s
-[Task 3/25] Current/Best: 14.15/ 23.62 GFLOPS | Progress: (20/20) | 17.34 s Done.
+[Task 3/25] Current/Best: 22.37/ 22.98 GFLOPS | Progress: (4/20) | 4.39 s
+[Task 3/25] Current/Best: 21.00/ 23.31 GFLOPS | Progress: (8/20) | 6.42 s
+[Task 3/25] Current/Best: 15.94/ 24.41 GFLOPS | Progress: (12/20) | 8.81 s
+[Task 3/25] Current/Best: 20.10/ 24.41 GFLOPS | Progress: (16/20) | 10.67 s
+[Task 3/25] Current/Best: 12.58/ 24.41 GFLOPS | Progress: (20/20) | 12.88 s Done.
[Task 4/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 4/25] Current/Best: 3.71/ 18.44 GFLOPS | Progress: (4/20) | 5.44 s
-[Task 4/25] Current/Best: 12.09/ 18.44 GFLOPS | Progress: (8/20) | 7.50 s
-[Task 4/25] Current/Best: 11.37/ 18.44 GFLOPS | Progress: (12/20) | 10.08 s
-[Task 4/25] Current/Best: 13.20/ 18.44 GFLOPS | Progress: (16/20) | 12.76 s
-[Task 4/25] Current/Best: 12.46/ 18.44 GFLOPS | Progress: (20/20) | 15.51 s Done.
+[Task 4/25] Current/Best: 13.29/ 15.96 GFLOPS | Progress: (4/20) | 6.27 s
+[Task 4/25] Current/Best: 8.89/ 15.96 GFLOPS | Progress: (8/20) | 10.59 s
+[Task 4/25] Current/Best: 20.00/ 20.00 GFLOPS | Progress: (12/20) | 12.45 s
+[Task 4/25] Current/Best: 13.33/ 20.00 GFLOPS | Progress: (16/20) | 14.27 s
+[Task 4/25] Current/Best: 11.49/ 20.00 GFLOPS | Progress: (20/20) | 19.21 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/ 15.31 GFLOPS | Progress: (4/20) | 5.75 s
-[Task 5/25] Current/Best: 7.39/ 18.33 GFLOPS | Progress: (8/20) | 7.87 s
-[Task 5/25] Current/Best: 8.81/ 18.33 GFLOPS | Progress: (12/20) | 11.26 s
-[Task 5/25] Current/Best: 20.65/ 20.65 GFLOPS | Progress: (16/20) | 14.59 s
-[Task 5/25] Current/Best: 5.52/ 20.65 GFLOPS | Progress: (20/20) | 16.79 s Done.
+[Task 5/25] Current/Best: 7.70/ 16.58 GFLOPS | Progress: (4/20) | 4.78 s
+[Task 5/25] Current/Best: 1.76/ 16.58 GFLOPS | Progress: (8/20) | 7.46 s
+[Task 5/25] Current/Best: 11.51/ 16.58 GFLOPS | Progress: (12/20) | 9.55 s
+[Task 5/25] Current/Best: 11.89/ 19.88 GFLOPS | Progress: (16/20) | 12.36 s
+[Task 5/25] Current/Best: 20.95/ 20.95 GFLOPS | Progress: (20/20) | 14.23 s Done.
[Task 6/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 6/25] Current/Best: 16.04/ 16.04 GFLOPS | Progress: (4/20) | 6.37 s
-[Task 6/25] Current/Best: 9.95/ 21.41 GFLOPS | Progress: (8/20) | 9.60 s
-[Task 6/25] Current/Best: 5.66/ 21.41 GFLOPS | Progress: (12/20) | 13.84 s
-[Task 6/25] Current/Best: 16.86/ 21.41 GFLOPS | Progress: (16/20) | 17.61 s
-[Task 6/25] Current/Best: 7.53/ 21.41 GFLOPS | Progress: (20/20) | 20.73 s Done.
+[Task 6/25] Current/Best: 9.48/ 21.94 GFLOPS | Progress: (4/20) | 4.98 s
+[Task 6/25] Current/Best: 17.48/ 21.94 GFLOPS | Progress: (8/20) | 8.26 s
+[Task 6/25] Current/Best: 13.99/ 21.94 GFLOPS | Progress: (12/20) | 11.23 s
+[Task 6/25] Current/Best: 17.12/ 21.94 GFLOPS | Progress: (16/20) | 14.20 s
+[Task 6/25] Current/Best: 8.40/ 24.24 GFLOPS | Progress: (20/20) | 18.32 s Done.
[Task 7/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 7/25] Current/Best: 15.01/ 19.19 GFLOPS | Progress: (4/20) | 7.44 s
-[Task 7/25] Current/Best: 17.41/ 20.68 GFLOPS | Progress: (8/20) | 10.22 s
-[Task 7/25] Current/Best: 13.37/ 20.68 GFLOPS | Progress: (12/20) | 12.62 s
-[Task 7/25] Current/Best: 8.13/ 20.68 GFLOPS | Progress: (16/20) | 15.49 s
-[Task 7/25] Current/Best: 13.16/ 20.68 GFLOPS | Progress: (20/20) | 18.15 s Done.
+[Task 7/25] Current/Best: 7.52/ 15.13 GFLOPS | Progress: (4/20) | 5.00 s
+[Task 7/25] Current/Best: 18.49/ 18.49 GFLOPS | Progress: (8/20) | 7.89 s
+[Task 7/25] Current/Best: 17.80/ 18.49 GFLOPS | Progress: (12/20) | 11.72 s
+[Task 7/25] Current/Best: 11.21/ 20.45 GFLOPS | Progress: (16/20) | 14.46 s
+[Task 7/25] Current/Best: 13.64/ 20.74 GFLOPS | Progress: (20/20) | 16.47 s Done.
[Task 8/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 8/25] Current/Best: 16.44/ 16.44 GFLOPS | Progress: (4/20) | 7.77 s
-[Task 8/25] Current/Best: 15.01/ 16.44 GFLOPS | Progress: (8/20) | 19.37 s
-[Task 8/25] Current/Best: 2.95/ 16.44 GFLOPS | Progress: (12/20) | 24.97 s
-[Task 8/25] Current/Best: 6.16/ 16.44 GFLOPS | Progress: (16/20) | 36.89 s
-[Task 8/25] Current/Best: 18.54/ 18.54 GFLOPS | Progress: (20/20) | 42.09 s
+[Task 8/25] Current/Best: 5.73/ 16.48 GFLOPS | Progress: (4/20) | 5.53 s
+[Task 8/25] Current/Best: 13.08/ 16.48 GFLOPS | Progress: (8/20) | 8.75 s
+[Task 8/25] Current/Best: 13.96/ 16.48 GFLOPS | Progress: (12/20) | 15.06 s
+[Task 8/25] Current/Best: 16.74/ 16.74 GFLOPS | Progress: (16/20) | 22.86 s
+[Task 8/25] Current/Best: 15.40/ 16.99 GFLOPS | Progress: (20/20) | 30.49 s Done.
+
[Task 9/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 9/25] Current/Best: 11.66/ 13.68 GFLOPS | Progress: (4/20) | 6.92 s
-[Task 9/25] Current/Best: 6.87/ 16.85 GFLOPS | Progress: (8/20) | 9.28 s
-[Task 9/25] Current/Best: 5.95/ 16.85 GFLOPS | Progress: (12/20) | 17.91 s
-[Task 9/25] Current/Best: 12.32/ 16.85 GFLOPS | Progress: (16/20) | 21.02 s
-[Task 9/25] Current/Best: 9.81/ 17.32 GFLOPS | Progress: (20/20) | 28.49 s Done.
+[Task 9/25] Current/Best: 7.77/ 13.24 GFLOPS | Progress: (4/20) | 8.27 s
+[Task 9/25] Current/Best: 19.35/ 19.35 GFLOPS | Progress: (8/20) | 15.22 s
+[Task 9/25] Current/Best: 16.72/ 21.92 GFLOPS | Progress: (12/20) | 17.01 s
+[Task 9/25] Current/Best: 13.41/ 21.92 GFLOPS | Progress: (16/20) | 19.70 s
+[Task 9/25] Current/Best: 15.49/ 21.92 GFLOPS | Progress: (20/20) | 23.32 s Done.
[Task 10/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 10/25] Current/Best: 15.59/ 15.59 GFLOPS | Progress: (4/20) | 5.25 s
-[Task 10/25] Current/Best: 11.89/ 21.90 GFLOPS | Progress: (8/20) | 7.09 s
-[Task 10/25] Current/Best: 8.32/ 21.90 GFLOPS | Progress: (12/20) | 9.02 s
-[Task 10/25] Current/Best: 20.11/ 21.90 GFLOPS | Progress: (16/20) | 11.02 s
-[Task 10/25] Current/Best: 18.21/ 21.90 GFLOPS | Progress: (20/20) | 13.50 s Done.
+[Task 10/25] Current/Best: 16.06/ 16.19 GFLOPS | Progress: (4/20) | 4.20 s
+[Task 10/25] Current/Best: 18.98/ 18.98 GFLOPS | Progress: (8/20) | 6.30 s
+[Task 10/25] Current/Best: 19.49/ 19.49 GFLOPS | Progress: (12/20) | 8.12 s
+[Task 10/25] Current/Best: 8.00/ 19.49 GFLOPS | Progress: (16/20) | 10.93 s
+[Task 10/25] Current/Best: 15.58/ 19.49 GFLOPS | Progress: (20/20) | 14.00 s Done.
[Task 11/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 11/25] Current/Best: 18.23/ 18.23 GFLOPS | Progress: (4/20) | 6.33 s
-[Task 11/25] Current/Best: 8.42/ 19.48 GFLOPS | Progress: (8/20) | 9.90 s
-[Task 11/25] Current/Best: 19.81/ 19.81 GFLOPS | Progress: (12/20) | 12.58 s
-[Task 11/25] Current/Best: 12.10/ 19.81 GFLOPS | Progress: (16/20) | 15.78 s
-[Task 11/25] Current/Best: 9.13/ 20.97 GFLOPS | Progress: (20/20) | 18.29 s Done.
+[Task 11/25] Current/Best: 18.35/ 19.59 GFLOPS | Progress: (4/20) | 4.56 s
+[Task 11/25] Current/Best: 15.17/ 19.59 GFLOPS | Progress: (8/20) | 8.39 s
+[Task 11/25] Current/Best: 9.44/ 19.59 GFLOPS | Progress: (12/20) | 11.93 s
+[Task 11/25] Current/Best: 6.70/ 19.59 GFLOPS | Progress: (16/20) | 15.50 s
+[Task 11/25] Current/Best: 5.83/ 23.36 GFLOPS | Progress: (20/20) | 17.61 s Done.
[Task 12/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 12/25] Current/Best: 14.73/ 20.13 GFLOPS | Progress: (4/20) | 6.81 s
-[Task 12/25] Current/Best: 11.40/ 20.13 GFLOPS | Progress: (8/20) | 10.88 s
-[Task 12/25] Current/Best: 6.69/ 20.13 GFLOPS | Progress: (12/20) | 21.74 s
-[Task 12/25] Current/Best: 11.27/ 20.13 GFLOPS | Progress: (16/20) | 25.44 s
-[Task 12/25] Current/Best: 13.40/ 20.13 GFLOPS | Progress: (20/20) | 29.41 s Done.
+[Task 12/25] Current/Best: 16.11/ 18.70 GFLOPS | Progress: (4/20) | 4.35 s
+[Task 12/25] Current/Best: 15.57/ 20.94 GFLOPS | Progress: (8/20) | 6.20 s
+[Task 12/25] Current/Best: 9.86/ 20.94 GFLOPS | Progress: (12/20) | 8.28 s
+[Task 12/25] Current/Best: 15.96/ 20.94 GFLOPS | Progress: (16/20) | 12.11 s
+[Task 12/25] Current/Best: 17.16/ 20.94 GFLOPS | Progress: (20/20) | 14.46 s Done.
[Task 13/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 13/25] Current/Best: 19.83/ 19.83 GFLOPS | Progress: (4/20) | 7.03 s
-[Task 13/25] Current/Best: 16.99/ 19.83 GFLOPS | Progress: (8/20) | 11.31 s
-[Task 13/25] Current/Best: 17.37/ 20.09 GFLOPS | Progress: (12/20) | 14.18 s
-[Task 13/25] Current/Best: 11.19/ 20.09 GFLOPS | Progress: (16/20) | 17.41 s
-[Task 13/25] Current/Best: 8.11/ 20.09 GFLOPS | Progress: (20/20) | 20.18 s Done.
+[Task 13/25] Current/Best: 14.01/ 22.12 GFLOPS | Progress: (4/20) | 5.03 s
+[Task 13/25] Current/Best: 20.56/ 22.12 GFLOPS | Progress: (8/20) | 7.84 s
+[Task 13/25] Current/Best: 4.46/ 22.12 GFLOPS | Progress: (12/20) | 11.43 s
+[Task 13/25] Current/Best: 8.87/ 22.12 GFLOPS | Progress: (16/20) | 14.78 s
+[Task 13/25] Current/Best: 10.28/ 22.12 GFLOPS | Progress: (20/20) | 17.17 s Done.
[Task 14/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 14/25] Current/Best: 12.91/ 15.95 GFLOPS | Progress: (4/20) | 7.45 s
-[Task 14/25] Current/Best: 14.91/ 15.95 GFLOPS | Progress: (8/20) | 11.33 s
-[Task 14/25] Current/Best: 11.60/ 15.95 GFLOPS | Progress: (12/20) | 15.41 s
-[Task 14/25] Current/Best: 10.19/ 19.20 GFLOPS | Progress: (16/20) | 20.97 s
-[Task 14/25] Current/Best: 16.67/ 19.20 GFLOPS | Progress: (20/20) | 23.64 s Done.
+[Task 14/25] Current/Best: 14.02/ 16.75 GFLOPS | Progress: (4/20) | 4.99 s
+[Task 14/25] Current/Best: 18.16/ 18.16 GFLOPS | Progress: (8/20) | 7.28 s
+[Task 14/25] Current/Best: 14.38/ 21.75 GFLOPS | Progress: (12/20) | 9.22 s
+[Task 14/25] Current/Best: 8.18/ 21.75 GFLOPS | Progress: (16/20) | 13.98 s
+[Task 14/25] Current/Best: 12.95/ 21.75 GFLOPS | Progress: (20/20) | 21.02 s Done.
[Task 15/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 15/25] Current/Best: 7.73/ 14.52 GFLOPS | Progress: (4/20) | 9.56 s
-[Task 15/25] Current/Best: 18.03/ 18.17 GFLOPS | Progress: (8/20) | 14.56 s
-[Task 15/25] Current/Best: 14.95/ 19.65 GFLOPS | Progress: (12/20) | 18.10 s
-[Task 15/25] Current/Best: 17.71/ 19.65 GFLOPS | Progress: (16/20) | 22.70 s
-[Task 15/25] Current/Best: 10.15/ 19.65 GFLOPS | Progress: (20/20) | 28.29 s Done.
+[Task 15/25] Current/Best: 5.70/ 18.51 GFLOPS | Progress: (4/20) | 6.74 s
+[Task 15/25] Current/Best: 8.79/ 18.51 GFLOPS | Progress: (8/20) | 10.60 s
+[Task 15/25] Current/Best: 21.64/ 21.64 GFLOPS | Progress: (12/20) | 12.09 s
+[Task 15/25] Current/Best: 9.76/ 21.64 GFLOPS | Progress: (16/20) | 15.28 s
+[Task 15/25] Current/Best: 11.07/ 21.64 GFLOPS | Progress: (20/20) | 23.83 s Done.
[Task 16/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 16/25] Current/Best: 18.54/ 18.54 GFLOPS | Progress: (4/20) | 5.78 s
-[Task 16/25] Current/Best: 18.42/ 18.54 GFLOPS | Progress: (8/20) | 9.73 s
-[Task 16/25] Current/Best: 2.97/ 18.54 GFLOPS | Progress: (12/20) | 12.08 s
-[Task 16/25] Current/Best: 5.57/ 18.54 GFLOPS | Progress: (16/20) | 14.55 s
-[Task 16/25] Current/Best: 6.69/ 18.54 GFLOPS | Progress: (20/20) | 17.04 s Done.
+[Task 16/25] Current/Best: 10.91/ 13.91 GFLOPS | Progress: (4/20) | 6.31 s
+[Task 16/25] Current/Best: 17.80/ 17.80 GFLOPS | Progress: (8/20) | 8.31 s
+[Task 16/25] Current/Best: 10.71/ 17.80 GFLOPS | Progress: (12/20) | 10.67 s
+[Task 16/25] Current/Best: 18.67/ 18.67 GFLOPS | Progress: (16/20) | 13.43 s
+[Task 16/25] Current/Best: 4.28/ 18.67 GFLOPS | Progress: (20/20) | 16.30 s Done.
[Task 17/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 17/25] Current/Best: 18.52/ 21.00 GFLOPS | Progress: (4/20) | 5.18 s
-[Task 17/25] Current/Best: 6.17/ 21.00 GFLOPS | Progress: (8/20) | 7.67 s
-[Task 17/25] Current/Best: 5.33/ 21.00 GFLOPS | Progress: (12/20) | 10.29 s
-[Task 17/25] Current/Best: 12.79/ 21.00 GFLOPS | Progress: (16/20) | 13.23 s
-[Task 17/25] Current/Best: 12.46/ 21.00 GFLOPS | Progress: (20/20) | 16.25 s Done.
+[Task 17/25] Current/Best: 3.10/ 14.08 GFLOPS | Progress: (4/20) | 6.01 s
+[Task 17/25] Current/Best: 8.57/ 14.08 GFLOPS | Progress: (8/20) | 9.25 s
+[Task 17/25] Current/Best: 10.86/ 22.17 GFLOPS | Progress: (12/20) | 11.94 s
+[Task 17/25] Current/Best: 14.81/ 22.17 GFLOPS | Progress: (16/20) | 14.43 s
+[Task 17/25] Current/Best: 13.77/ 22.17 GFLOPS | Progress: (20/20) | 17.42 s Done.
[Task 18/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 18/25] Current/Best: 11.94/ 12.96 GFLOPS | Progress: (4/20) | 7.10 s
-[Task 18/25] Current/Best: 12.62/ 18.41 GFLOPS | Progress: (8/20) | 10.56 s
-[Task 18/25] Current/Best: 10.25/ 18.41 GFLOPS | Progress: (12/20) | 13.24 s
-[Task 18/25] Current/Best: 10.41/ 18.41 GFLOPS | Progress: (16/20) | 18.52 s
-[Task 18/25] Current/Best: 20.65/ 20.65 GFLOPS | Progress: (20/20) | 21.02 s Done.
+[Task 18/25] Current/Best: 15.20/ 15.20 GFLOPS | Progress: (4/20) | 5.31 s
+[Task 18/25] Current/Best: 14.26/ 18.43 GFLOPS | Progress: (8/20) | 9.57 s
+[Task 18/25] Current/Best: 18.56/ 18.56 GFLOPS | Progress: (12/20) | 14.33 s
+[Task 18/25] Current/Best: 5.24/ 18.56 GFLOPS | Progress: (16/20) | 19.17 s
+[Task 18/25] Current/Best: 17.66/ 20.65 GFLOPS | Progress: (20/20) | 21.53 s Done.
[Task 19/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 19/25] Current/Best: 7.45/ 17.47 GFLOPS | Progress: (4/20) | 7.02 s Done.
-
-[Task 19/25] Current/Best: 5.28/ 17.47 GFLOPS | Progress: (8/20) | 11.51 s
-[Task 19/25] Current/Best: 4.86/ 20.84 GFLOPS | Progress: (12/20) | 15.40 s
-[Task 19/25] Current/Best: 20.40/ 20.84 GFLOPS | Progress: (16/20) | 19.10 s
-[Task 19/25] Current/Best: 15.10/ 20.84 GFLOPS | Progress: (20/20) | 22.91 s Done.
+[Task 19/25] Current/Best: 12.55/ 12.55 GFLOPS | Progress: (4/20) | 7.11 s
+[Task 19/25] Current/Best: 18.16/ 20.42 GFLOPS | Progress: (8/20) | 10.76 s
+[Task 19/25] Current/Best: 18.00/ 20.42 GFLOPS | Progress: (12/20) | 14.49 s
+[Task 19/25] Current/Best: 18.32/ 20.42 GFLOPS | Progress: (16/20) | 20.50 s
+[Task 19/25] Current/Best: 8.13/ 20.42 GFLOPS | Progress: (20/20) | 23.80 s Done.
[Task 20/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 20/25] Current/Best: 12.51/ 16.15 GFLOPS | Progress: (4/20) | 12.83 s
-[Task 20/25] Current/Best: 9.74/ 16.15 GFLOPS | Progress: (8/20) | 24.48 s
-[Task 20/25] Current/Best: 9.86/ 16.15 GFLOPS | Progress: (12/20) | 37.42 s
-[Task 20/25] Current/Best: 2.70/ 16.19 GFLOPS | Progress: (16/20) | 42.78 s
-[Task 20/25] Current/Best: 10.26/ 16.19 GFLOPS | Progress: (20/20) | 49.02 s
+[Task 20/25] Current/Best: 6.66/ 17.26 GFLOPS | Progress: (4/20) | 6.66 s
+[Task 20/25] Current/Best: 9.83/ 17.26 GFLOPS | Progress: (8/20) | 9.47 s
+[Task 20/25] Current/Best: 12.72/ 19.08 GFLOPS | Progress: (12/20) | 11.99 s
+[Task 20/25] Current/Best: 10.62/ 19.08 GFLOPS | Progress: (16/20) | 16.61 s
+[Task 20/25] Current/Best: 18.25/ 19.08 GFLOPS | Progress: (20/20) | 28.37 s
[Task 21/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 21/25] Current/Best: 15.22/ 15.22 GFLOPS | Progress: (4/20) | 14.08 s
-[Task 21/25] Current/Best: 6.49/ 15.22 GFLOPS | Progress: (8/20) | 25.27 s
-[Task 21/25] Current/Best: 21.02/ 21.02 GFLOPS | Progress: (12/20) | 36.41 s
-[Task 21/25] Current/Best: 6.94/ 21.02 GFLOPS | Progress: (16/20) | 48.00 s Done.
-
-[Task 21/25] Current/Best: 12.42/ 21.02 GFLOPS | Progress: (20/20) | 51.71 s Done.
-
-[Task 22/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 22/25] Current/Best: 13.84/ 13.84 GFLOPS | Progress: (4/20) | 4.51 s
-[Task 22/25] Current/Best: 9.47/ 18.49 GFLOPS | Progress: (8/20) | 6.50 s
-[Task 22/25] Current/Best: 9.76/ 18.49 GFLOPS | Progress: (12/20) | 8.92 s
-[Task 22/25] Current/Best: 16.65/ 19.06 GFLOPS | Progress: (16/20) | 11.53 s
-[Task 22/25] Current/Best: 9.05/ 19.06 GFLOPS | Progress: (20/20) | 13.30 s Done.
+[Task 21/25] Current/Best: 20.74/ 21.67 GFLOPS | Progress: (4/20) | 9.72 s
+[Task 21/25] Current/Best: 10.58/ 21.67 GFLOPS | Progress: (8/20) | 11.40 s
+[Task 21/25] Current/Best: 9.07/ 21.67 GFLOPS | Progress: (12/20) | 14.16 s
+[Task 21/25] Current/Best: 10.92/ 21.67 GFLOPS | Progress: (16/20) | 25.73 s
+[Task 21/25] Current/Best: 9.11/ 21.67 GFLOPS | Progress: (20/20) | 38.04 s
+[Task 22/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s Done.
+ Done.
+
+[Task 22/25] Current/Best: 16.54/ 16.54 GFLOPS | Progress: (4/20) | 5.89 s
+[Task 22/25] Current/Best: 6.15/ 17.74 GFLOPS | Progress: (8/20) | 8.11 s
+[Task 22/25] Current/Best: 19.26/ 19.26 GFLOPS | Progress: (12/20) | 10.16 s
+[Task 22/25] Current/Best: 9.65/ 19.26 GFLOPS | Progress: (16/20) | 13.05 s
+[Task 22/25] Current/Best: 8.23/ 21.02 GFLOPS | Progress: (20/20) | 14.75 s Done.
[Task 23/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 23/25] Current/Best: 9.91/ 20.19 GFLOPS | Progress: (4/20) | 6.55 s
-[Task 23/25] Current/Best: 9.62/ 20.19 GFLOPS | Progress: (8/20) | 9.02 s
-[Task 23/25] Current/Best: 16.46/ 20.19 GFLOPS | Progress: (12/20) | 11.93 s
-[Task 23/25] Current/Best: 9.66/ 20.19 GFLOPS | Progress: (16/20) | 15.84 s
-[Task 23/25] Current/Best: 10.68/ 20.19 GFLOPS | Progress: (20/20) | 19.10 s Done.
+[Task 23/25] Current/Best: 17.72/ 20.48 GFLOPS | Progress: (4/20) | 5.21 s
+[Task 23/25] Current/Best: 5.32/ 21.89 GFLOPS | Progress: (8/20) | 8.19 s
+[Task 23/25] Current/Best: 21.53/ 22.53 GFLOPS | Progress: (12/20) | 10.76 s
+[Task 23/25] Current/Best: 10.78/ 22.53 GFLOPS | Progress: (16/20) | 14.43 s
+[Task 23/25] Current/Best: 17.54/ 22.53 GFLOPS | Progress: (20/20) | 18.52 s Done.
[Task 24/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 24/25] Current/Best: 2.29/ 9.27 GFLOPS | Progress: (4/20) | 13.79 s
-[Task 24/25] Current/Best: 7.63/ 9.27 GFLOPS | Progress: (8/20) | 17.27 s
-[Task 24/25] Current/Best: 2.72/ 9.38 GFLOPS | Progress: (12/20) | 24.73 s
-[Task 24/25] Current/Best: 3.79/ 9.38 GFLOPS | Progress: (16/20) | 34.56 s
-[Task 24/25] Current/Best: 0.91/ 9.38 GFLOPS | Progress: (20/20) | 41.26 s
+[Task 24/25] Current/Best: 5.29/ 9.28 GFLOPS | Progress: (4/20) | 4.09 s
+[Task 24/25] Current/Best: 3.51/ 9.28 GFLOPS | Progress: (8/20) | 15.10 s
+[Task 24/25] Current/Best: 7.65/ 9.28 GFLOPS | Progress: (12/20) | 23.28 s
+[Task 24/25] Current/Best: 3.83/ 9.28 GFLOPS | Progress: (16/20) | 25.56 s
+[Task 24/25] Current/Best: 0.96/ 9.28 GFLOPS | Progress: (20/20) | 29.73 s
[Task 25/25] Current/Best: 0.00/ 0.00 GFLOPS | Progress: (0/20) | 0.00 s
-[Task 25/25] Current/Best: 5.62/ 5.62 GFLOPS | Progress: (4/20) | 13.76 s
-[Task 25/25] Current/Best: 1.54/ 5.62 GFLOPS | Progress: (8/20) | 24.84 s
-[Task 25/25] Current/Best: 3.21/ 9.24 GFLOPS | Progress: (12/20) | 35.89 s
-[Task 25/25] Current/Best: 8.04/ 9.24 GFLOPS | Progress: (16/20) | 47.75 s
-[Task 25/25] Current/Best: 7.50/ 9.24 GFLOPS | Progress: (20/20) | 58.76 s
+[Task 25/25] Current/Best: 5.78/ 7.99 GFLOPS | Progress: (4/20) | 13.46 s
+[Task 25/25] Current/Best: 4.09/ 7.99 GFLOPS | Progress: (8/20) | 24.49 s
+[Task 25/25] Current/Best: 8.30/ 9.93 GFLOPS | Progress: (12/20) | 35.70 s
+[Task 25/25] Current/Best: 7.52/ 9.93 GFLOPS | Progress: (16/20) | 41.47 s
+[Task 25/25] Current/Best: 9.40/ 9.93 GFLOPS | Progress: (20/20) | 52.46 s
</pre></div>
</div>
<p>The output from this tuning process will look something like this:</p>
@@ -951,8 +951,8 @@ Done.
<span class="nb">print</span><span class="p">(</span><span class="s2">"class='</span><span class="si">%s</span><span class="s2">' with probability=</span><span class="si">%f</span><span class="s2">"</span> <span class="o">%</span> <span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#list" title="builtins.list" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">labels</span></a [...]
</pre></div>
</div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>class='n02123045 tabby, tabby cat' with probability=0.621104
-class='n02123159 tiger cat' with probability=0.356378
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>class='n02123045 tabby, tabby cat' with probability=0.621103
+class='n02123159 tiger cat' with probability=0.356379
class='n02124075 Egyptian cat' with probability=0.019712
class='n02129604 tiger, Panthera tigris' with probability=0.001215
class='n04040759 radiator' with probability=0.000262
@@ -989,8 +989,8 @@ 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': 419.24728985999536, 'median': 417.8486317999841, 'std': 4.618934947664931}
-unoptimized: {'mean': 533.7428664900006, 'median': 527.4104991499996, 'std': 16.908155396589343}
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>optimized: {'mean': 412.5629195700003, 'median': 411.47900765000713, 'std': 2.273564975386873}
+unoptimized: {'mean': 475.58067993999884, 'median': 475.09462344999633, 'std': 2.4263582756098083}
</pre></div>
</div>
</section>
@@ -1004,7 +1004,7 @@ 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> (15 minutes 38.839 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (13 minutes 23.957 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-jupyter docutils container">
<p><a class="reference download internal" download="" href="../_downloads/2f91b1346a0ba21b800081aa15fdaac2/autotvm_relay_x86.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">autotvm_relay_x86.ipynb</span></code></a></p>
diff --git a/docs/tutorial/intro_topi.html b/docs/tutorial/intro_topi.html
index a0e46e3da8..2278db53f1 100644
--- a/docs/tutorial/intro_topi.html
+++ b/docs/tutorial/intro_topi.html
@@ -475,7 +475,7 @@ class Module:
<div class="highlight-Python 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, 0x31831960)), stage(b, placeholder(b, 0x293a5780)), stage(T_add, compute(T_add, body=[a[ax0, ax1, ax2] + b[ax1, ax2]], axis=[T.iter_var(ax0, T.Range(0, 100), "DataPar", ""), T.iter_var(ax1, T.Range(0, 10), "DataPar", ""), T.iter_var(ax2, T.Range(0, 10), "DataPar", "")], reduce_axis=[], tag=broadcast, attr [...]
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>[stage(a, placeholder(a, 0x290ed790)), stage(b, placeholder(b, 0x29473520)), 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 8e8d426595..1550fc72e9 100644
--- a/docs/tutorial/sg_execution_times.html
+++ b/docs/tutorial/sg_execution_times.html
@@ -308,7 +308,7 @@
<section id="computation-times">
<span id="sphx-glr-tutorial-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Link to this heading"></a></h1>
-<p><strong>20:07.084</strong> total execution time for 11 files <strong>from tutorial</strong>:</p>
+<p><strong>17:04.639</strong> total execution time for 11 files <strong>from tutorial</strong>:</p>
<div class="docutils container">
<style scoped>
<link href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/5.3.0/css/bootstrap.min.css" rel="stylesheet" />
@@ -330,46 +330,46 @@ $(document).ready( function () {
</thead>
<tbody>
<tr class="row-even"><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>15:38.839</p></td>
+<td><p>13:23.957</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="auto_scheduler_matmul_x86.html#sphx-glr-tutorial-auto-scheduler-matmul-x86-py"><span class="std std-ref">Optimizing Operators with Auto-scheduling</span></a> (<code class="docutils literal notranslate"><span class="pre">auto_scheduler_matmul_x86.py</span></code>)</p></td>
-<td><p>02:04.726</p></td>
+<td><p>01:29.098</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-even"><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>01:13.548</p></td>
+<td><p>00:57.888</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-odd"><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>00:48.395</p></td>
+<td><p>00:44.263</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="autotvm_matmul_x86.html#sphx-glr-tutorial-autotvm-matmul-x86-py"><span class="std std-ref">Optimizing Operators with Schedule Templates and AutoTVM</span></a> (<code class="docutils literal notranslate"><span class="pre">autotvm_matmul_x86.py</span></code>)</p></td>
-<td><p>00:19.135</p></td>
+<td><p>00:27.186</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="tensor_ir_blitz_course.html#sphx-glr-tutorial-tensor-ir-blitz-course-py"><span class="std std-ref">Blitz Course to TensorIR</span></a> (<code class="docutils literal notranslate"><span class="pre">tensor_ir_blitz_course.py</span></code>)</p></td>
-<td><p>00:01.500</p></td>
+<td><p>00:01.385</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="intro_topi.html#sphx-glr-tutorial-intro-topi-py"><span class="std std-ref">Introduction to TOPI</span></a> (<code class="docutils literal notranslate"><span class="pre">intro_topi.py</span></code>)</p></td>
-<td><p>00:00.941</p></td>
+<td><p>00:00.862</p></td>
<td><p>0.0</p></td>
</tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="introduction.html#sphx-glr-tutorial-introduction-py"><span class="std std-ref">Introduction</span></a> (<code class="docutils literal notranslate"><span class="pre">introduction.py</span></code>)</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="uma.html#sphx-glr-tutorial-uma-py"><span class="std std-ref">Making your Hardware Accelerator TVM-ready with UMA</span></a> (<code class="docutils literal notranslate"><span class="pre">uma.py</span></code>)</p></td>
<td><p>00:00.000</p></td>
<td><p>0.0</p></td>
</tr>
-<tr class="row-even"><td><p><a class="reference internal" href="tvmc_python.html#sphx-glr-tutorial-tvmc-python-py"><span class="std std-ref">Getting Starting using TVMC Python: a high-level API for TVM</span></a> (<code class="docutils literal notranslate"><span class="pre">tvmc_python.py</span></code>)</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="tvmc_command_line_driver.html#sphx-glr-tutorial-tvmc-command-line-driver-py"><span class="std std-ref">Compiling and Optimizing a Model with TVMC</span></a> (<code class="docutils literal notranslate"><span class="pre">tvmc_command_line_driver.py</span></code>)</p></td>
<td><p>00:00.000</p></td>
<td><p>0.0</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>
+<tr class="row-odd"><td><p><a class="reference internal" href="tvmc_python.html#sphx-glr-tutorial-tvmc-python-py"><span class="std std-ref">Getting Starting using TVMC Python: a high-level API for TVM</span></a> (<code class="docutils literal notranslate"><span class="pre">tvmc_python.py</span></code>)</p></td>
<td><p>00:00.000</p></td>
<td><p>0.0</p></td>
</tr>
-<tr class="row-even"><td><p><a class="reference internal" href="tvmc_command_line_driver.html#sphx-glr-tutorial-tvmc-command-line-driver-py"><span class="std std-ref">Compiling and Optimizing a Model with TVMC</span></a> (<code class="docutils literal notranslate"><span class="pre">tvmc_command_line_driver.py</span></code>)</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="introduction.html#sphx-glr-tutorial-introduction-py"><span class="std std-ref">Introduction</span></a> (<code class="docutils literal notranslate"><span class="pre">introduction.py</span></code>)</p></td>
<td><p>00:00.000</p></td>
<td><p>0.0</p></td>
</tr>
diff --git a/docs/tutorial/tensor_expr_get_started.html b/docs/tutorial/tensor_expr_get_started.html
index 7e9a93ad0a..e7b5217729 100644
--- a/docs/tutorial/tensor_expr_get_started.html
+++ b/docs/tutorial/tensor_expr_get_started.html
@@ -516,7 +516,7 @@ 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: 0.000010
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Numpy running time: 0.000012
naive: 0.000006
</pre></div>
</div>
@@ -648,10 +648,10 @@ class Module:
</pre></div>
</div>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Operator Timing Performance
- numpy 9.513210000022809e-06 1.0
- naive 5.8696e-06 0.6169946842323387
-parallel 6.2722e-06 0.6593147843877053
- vector 4.00194e-05 4.206718867753792
+ numpy 1.2297299999772804e-05 1.0
+ naive 5.8325000000000005e-06 0.4742911045601683
+parallel 6.076899999999999e-06 0.49416538590684717
+ vector 3.9953e-05 3.248924560735946
</pre></div>
</div>
<div class="admonition-code-specialization admonition">
@@ -967,7 +967,7 @@ 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: 0.020885
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Numpy running time: 0.018637
</pre></div>
</div>
<p>Now we write a basic matrix multiplication using TVM TE and verify that it
@@ -1008,7 +1008,7 @@ 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: 4.219324
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>none: 3.268676
</pre></div>
</div>
<p>Let’s take a look at the intermediate representation of the operator and
@@ -1072,7 +1072,7 @@ 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: 0.379992
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>blocking: 0.289957
</pre></div>
</div>
<p>By reordering the computation to take advantage of caching, you should see a
@@ -1121,7 +1121,7 @@ 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: 0.368366
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>vectorization: 0.270329
# from tvm.script import ir as I
# from tvm.script import tir as T
@@ -1170,7 +1170,7 @@ 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: 0.154109
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>loop permutation: 0.110087
# from tvm.script import ir as I
# from tvm.script import tir as T
@@ -1240,7 +1240,7 @@ 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: 0.112374
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>array packing: 0.101660
# from tvm.script import ir as I
# from tvm.script import tir as T
@@ -1306,7 +1306,7 @@ 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: 0.120026
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>block caching: 0.100222
# from tvm.script import ir as I
# from tvm.script import tir as T
@@ -1363,7 +1363,7 @@ 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: 0.140467
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>parallelization: 0.120022
# from tvm.script import ir as I
# from tvm.script import tir as T
@@ -1416,13 +1416,13 @@ 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 4.219323659700001 1.0
- blocking 0.3799922638 0.09005999407663785
- vectorization 0.3683661528 0.08730454985436963
-loop permutation 0.15410859170000002 0.03652447741137672
- array packing 0.1123741275 0.026633208675911332
- block caching 0.1200256712 0.02844666133257338
- parallelization 0.140466694 0.03329128204637123
+ none 3.2686763368 1.0
+ blocking 0.2899566179 0.08870765656285948
+ vectorization 0.2703293818 0.0827030130687854
+loop permutation 0.11008727650000001 0.03367946690242641
+ array packing 0.1016600081 0.031101276977311278
+ block caching 0.1002224397 0.030661475586205248
+ parallelization 0.1200217627 0.03671876635467067
</pre></div>
</div>
<p>Note that the outputs on the web page reflect the running times on a
@@ -1454,7 +1454,6 @@ 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 13.548 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-jupyter docutils container">
<p><a class="reference download internal" download="" href="../_downloads/4459ebf5b03d332f7f380abdaef81c05/tensor_expr_get_started.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">tensor_expr_get_started.ipynb</span></code></a></p>