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Posted to commits@tvm.apache.org by tq...@apache.org on 2026/05/26 20:40:17 UTC
(tvm-site) branch asf-site updated: deploying docs (apache/tvm@3918e143893147beaf673cfc9cf269fe652b7a8f)
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 d71bf2249c5 deploying docs (apache/tvm@3918e143893147beaf673cfc9cf269fe652b7a8f)
d71bf2249c5 is described below
commit d71bf2249c5b896bdc0fa180d1d65950606ab63f
Author: tvm-bot <95...@users.noreply.github.com>
AuthorDate: Tue May 26 20:40:07 2026 +0000
deploying docs (apache/tvm@3918e143893147beaf673cfc9cf269fe652b7a8f)
---
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.../dlight_gpu_scheduling.zip | Bin 26311 -> 26311 bytes
.../11c11e53c7dace51a8be968ee169ed0d/ir_module.zip | Bin 23790 -> 23790 bytes
.../tir_transformation.zip | Bin 15923 -> 15923 bytes
.../meta_schedule.zip | Bin 24239 -> 24239 bytes
.../mix_python_and_tvm_with_pymodule.zip | Bin 39023 -> 39023 bytes
.../relax_creation.zip | Bin 22503 -> 22503 bytes
.../relax_transformation.zip | Bin 11480 -> 11480 bytes
.../optimize_llm.zip | Bin 54007 -> 54007 bytes
.../bring_your_own_codegen.zip | Bin 18423 -> 18423 bytes
.../e2e_opt_model.zip | Bin 14501 -> 14501 bytes
.../quick_start.zip | Bin 16252 -> 16252 bytes
.../export_and_load_executable.zip | Bin 31408 -> 31408 bytes
.../tir_creation.zip | Bin 24545 -> 24545 bytes
.../cross_compilation_and_rpc.zip | Bin 62975 -> 62975 bytes
.../customize_opt.zip | Bin 20544 -> 20544 bytes
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index fd068637788..8b887f27155 100644
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index 79cee4b981e..39e412115a1 100644
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index fdeac32a620..308ecfebec1 100644
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diff --git a/docs/_downloads/be26483bb70b8468499a01c55e8e866c/tir_creation.zip b/docs/_downloads/be26483bb70b8468499a01c55e8e866c/tir_creation.zip
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diff --git a/docs/_downloads/f69380821f417ef2210f45503d81bded/cross_compilation_and_rpc.zip b/docs/_downloads/f69380821f417ef2210f45503d81bded/cross_compilation_and_rpc.zip
index 26513760cb7..ebd1f637cd3 100644
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diff --git a/docs/_downloads/f69433a4a80715725df90d1386679956/customize_opt.zip b/docs/_downloads/f69433a4a80715725df90d1386679956/customize_opt.zip
index 22d1a0e6f90..7f075ae29bc 100644
Binary files a/docs/_downloads/f69433a4a80715725df90d1386679956/customize_opt.zip and b/docs/_downloads/f69433a4a80715725df90d1386679956/customize_opt.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 3c303cadaf2..0864e5cb182 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
=================
-**00:00.205** total execution time for 2 files **from deep_dive/relax/tutorials**:
+**00:00.209** total execution time for 2 files **from deep_dive/relax/tutorials**:
.. container::
@@ -33,7 +33,7 @@ Computation times
- Time
- Mem (MB)
* - :ref:`sphx_glr_deep_dive_relax_tutorials_relax_creation.py` (``relax_creation.py``)
- - 00:00.151
+ - 00:00.155
- 0.0
* - :ref:`sphx_glr_deep_dive_relax_tutorials_relax_transformation.py` (``relax_transformation.py``)
- 00:00.054
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 cced0e4df42..28da8f9ea3a 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
=================
-**00:00.696** total execution time for 4 files **from deep_dive/tensor_ir/tutorials**:
+**00:00.713** total execution time for 4 files **from deep_dive/tensor_ir/tutorials**:
.. container::
@@ -33,10 +33,10 @@ Computation times
- Time
- Mem (MB)
* - :ref:`sphx_glr_deep_dive_tensor_ir_tutorials_tir_transformation.py` (``tir_transformation.py``)
- - 00:00.294
+ - 00:00.307
- 0.0
* - :ref:`sphx_glr_deep_dive_tensor_ir_tutorials_tir_creation.py` (``tir_creation.py``)
- - 00:00.276
+ - 00:00.281
- 0.0
* - :ref:`sphx_glr_deep_dive_tensor_ir_tutorials_dlight_gpu_scheduling.py` (``dlight_gpu_scheduling.py``)
- 00:00.118
diff --git a/docs/_sources/deep_dive/tensor_ir/tutorials/tir_creation.rst.txt b/docs/_sources/deep_dive/tensor_ir/tutorials/tir_creation.rst.txt
index a2fc930842a..08404de9349 100644
--- a/docs/_sources/deep_dive/tensor_ir/tutorials/tir_creation.rst.txt
+++ b/docs/_sources/deep_dive/tensor_ir/tutorials/tir_creation.rst.txt
@@ -321,17 +321,17 @@ Now let's check the runtime dynamic shape inference:
.. code-block:: none
- [[0.35592964 1.0437846 0.6279316 0.9471333 ]
- [0.5908437 1.2044268 0.6757088 0.89018905]
- [0.5882993 1.151075 0.9759689 1.0205501 ]
- [1.0021574 1.1561978 0.77182686 0.5503051 ]]
- [[35.353535 32.702656 32.97155 ... 32.767204 32.613617 33.78364 ]
- [34.854786 30.492184 29.183306 ... 32.81537 32.03879 31.23301 ]
- [34.116257 30.495352 30.293177 ... 31.128277 31.286713 28.90253 ]
+ [[1.1440977 1.1558623 1.1027379 1.1465582]
+ [1.8138757 1.7512794 1.5319556 1.374408 ]
+ [1.0980444 1.3206491 1.1557257 1.346201 ]
+ [2.1823525 2.1042876 1.972802 2.0402985]]
+ [[34.91427 34.70371 30.571775 ... 33.54301 35.690296 33.177704]
+ [28.545404 29.58899 29.252745 ... 29.54001 30.815067 30.295847]
+ [36.799976 34.730762 31.922344 ... 34.155704 36.393276 34.03265 ]
...
- [33.456898 32.425644 31.716583 ... 35.308838 32.178406 33.386414]
- [34.39524 33.48007 33.067047 ... 32.117058 31.796957 31.927954]
- [33.062332 30.23435 31.244572 ... 33.994118 31.58093 30.48535 ]]
+ [34.57664 32.36538 28.753754 ... 34.29726 32.320847 30.906872]
+ [31.182383 31.088177 27.79875 ... 31.462543 33.32074 31.563719]
+ [29.739634 31.048658 25.807543 ... 30.028486 31.925644 30.080156]]
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 e5c253e7233..443582630cf 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
@@ -120,7 +120,7 @@ original implementation.
Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 2.6066 2.6066 2.6066 2.6066 0.0000
+ 2.7772 2.7772 2.7772 2.7772 0.0000
@@ -294,7 +294,7 @@ action involves reordering these two loops.
Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 0.8616 0.8616 0.8616 0.8616 0.0000
+ 0.8705 0.8705 0.8705 0.8705 0.0000
@@ -424,7 +424,7 @@ from the reduction update via the **decompose_reduction** primitive.
Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 0.3509 0.3509 0.3509 0.3509 0.0000
+ 0.3539 0.3539 0.3539 0.3539 0.0000
diff --git a/docs/_sources/get_started/tutorials/ir_module.rst.txt b/docs/_sources/get_started/tutorials/ir_module.rst.txt
index 5dbe04d0cd5..649a3adfe1c 100644
--- a/docs/_sources/get_started/tutorials/ir_module.rst.txt
+++ b/docs/_sources/get_started/tutorials/ir_module.rst.txt
@@ -696,8 +696,8 @@ We can deploy the IRModule on CPU by specifying the target as ``llvm``.
.. code-block:: none
- [[ 0.08228809 0.11980871 0.00497113 -0.00694309 0.14748162 -0.27334356
- 0.082188 0.3194016 -0.11423995 0.11312704]]
+ [[-0.09514867 0.20464444 -0.2585247 0.16513585 -0.18904284 0.1962394
+ 0.25113857 0.25131094 0.17377909 -0.07872176]]
@@ -763,8 +763,8 @@ Now we can compile the IRModule on GPU, the similar way as we did on CPU.
.. code-block:: none
- [[ 0.08228813 0.1198087 0.00497113 -0.00694309 0.14748165 -0.27334353
- 0.08218806 0.31940156 -0.11424001 0.11312707]]
+ [[-0.09514867 0.20464438 -0.25852472 0.16513582 -0.1890428 0.19623935
+ 0.2511387 0.2513109 0.1737791 -0.07872176]]
diff --git a/docs/_sources/get_started/tutorials/quick_start.rst.txt b/docs/_sources/get_started/tutorials/quick_start.rst.txt
index 67a0829a71f..989d19a6e6f 100644
--- a/docs/_sources/get_started/tutorials/quick_start.rst.txt
+++ b/docs/_sources/get_started/tutorials/quick_start.rst.txt
@@ -224,8 +224,8 @@ different devices.
.. code-block:: none
- [[24911.277 26150.074 24178.453 24624.072 25185.715 26936.389 27342.03
- 25225.727 26507.484 27625.71 ]]
+ [[26311.113 25643.793 23634.566 24194.342 24438.4 26334.598 24709.205
+ 26197.5 25252. 23954.744]]
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 219fa7a600a..8350009abe1 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
=================
-**00:06.164** total execution time for 2 files **from get_started/tutorials**:
+**00:07.440** 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``)
- - 00:06.010
+ - 00:07.278
- 0.0
* - :ref:`sphx_glr_get_started_tutorials_quick_start.py` (``quick_start.py``)
- - 00:00.154
+ - 00:00.161
- 0.0
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 b160ad81ef4..43d2498cab9 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
@@ -857,8 +857,8 @@ This workflow is applicable to various deployment scenarios:
Converted PyTorch model to Relax:
- Number of parameters: 4
Using local target for demonstration
- Exported library to: /tmp/tmpro7ueu0e/model_deployed.so
- Saved parameters to: /tmp/tmpro7ueu0e/model_params.npz
+ Exported library to: /tmp/tmpngc4gpb2/model_deployed.so
+ Saved parameters to: /tmp/tmpngc4gpb2/model_params.npz
RPC workflow (works for any remote device):
==================================================
diff --git a/docs/_sources/how_to/tutorials/customize_opt.rst.txt b/docs/_sources/how_to/tutorials/customize_opt.rst.txt
index 14080e73518..da8302a3a47 100644
--- a/docs/_sources/how_to/tutorials/customize_opt.rst.txt
+++ b/docs/_sources/how_to/tutorials/customize_opt.rst.txt
@@ -426,8 +426,8 @@ We can build and deploy the optimized model to the TVM runtime.
.. code-block:: none
- [[25271.166 26545.979 26504.705 26104.355 24387.297 25040.48 26058.639
- 26675.707 24929.887 24229.127]]
+ [[27411.555 25704.182 26873.406 26351.242 26503.16 26150.121 24960.18
+ 24091.803 25003.656 26727.21 ]]
diff --git a/docs/_sources/how_to/tutorials/e2e_opt_model.rst.txt b/docs/_sources/how_to/tutorials/e2e_opt_model.rst.txt
index 890a8c561a7..f205a250634 100644
--- a/docs/_sources/how_to/tutorials/e2e_opt_model.rst.txt
+++ b/docs/_sources/how_to/tutorials/e2e_opt_model.rst.txt
@@ -54,7 +54,7 @@ PyTorch.
.. code-block:: none
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] 72%|███████▏ | 32.0M/44.7M [00:00<00:00, 335MB/s] 100%|██████████| 44.7M/44.7M [00:00<00:00, 365MB/s]
+ 0%| | 0.00/44.7M [00:00<?, ?B/s] 67%|██████▋ | 29.9M/44.7M [00:00<00:00, 313MB/s] 100%|██████████| 44.7M/44.7M [00:00<00:00, 346MB/s]
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 aa506c022ad..5421142e915 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
=================
-**00:15.462** total execution time for 8 files **from how_to/tutorials**:
+**00:19.087** total execution time for 8 files **from how_to/tutorials**:
.. container::
@@ -33,22 +33,22 @@ Computation times
- Time
- Mem (MB)
* - :ref:`sphx_glr_how_to_tutorials_optimize_llm.py` (``optimize_llm.py``)
- - 00:10.264
+ - 00:10.390
- 0.0
* - :ref:`sphx_glr_how_to_tutorials_import_model.py` (``import_model.py``)
- - 00:03.363
- - 0.0
- * - :ref:`sphx_glr_how_to_tutorials_customize_opt.py` (``customize_opt.py``)
- - 00:00.749
+ - 00:06.620
- 0.0
* - :ref:`sphx_glr_how_to_tutorials_e2e_opt_model.py` (``e2e_opt_model.py``)
- - 00:00.560
+ - 00:00.797
+ - 0.0
+ * - :ref:`sphx_glr_how_to_tutorials_customize_opt.py` (``customize_opt.py``)
+ - 00:00.757
- 0.0
* - :ref:`sphx_glr_how_to_tutorials_cross_compilation_and_rpc.py` (``cross_compilation_and_rpc.py``)
- - 00:00.479
+ - 00:00.478
- 0.0
* - :ref:`sphx_glr_how_to_tutorials_bring_your_own_codegen.py` (``bring_your_own_codegen.py``)
- - 00:00.040
+ - 00:00.039
- 0.0
* - :ref:`sphx_glr_how_to_tutorials_mix_python_and_tvm_with_pymodule.py` (``mix_python_and_tvm_with_pymodule.py``)
- 00:00.004
diff --git a/docs/_sources/sg_execution_times.rst.txt b/docs/_sources/sg_execution_times.rst.txt
index 19b34610a34..d65edcf52bb 100644
--- a/docs/_sources/sg_execution_times.rst.txt
+++ b/docs/_sources/sg_execution_times.rst.txt
@@ -6,7 +6,7 @@
Computation times
=================
-**00:22.527** total execution time for 16 files **from all galleries**:
+**00:27.449** total execution time for 16 files **from all galleries**:
.. container::
@@ -33,34 +33,34 @@ Computation times
- Time
- Mem (MB)
* - :ref:`sphx_glr_how_to_tutorials_optimize_llm.py` (``../how_to/tutorials/optimize_llm.py``)
- - 00:10.264
+ - 00:10.390
- 0.0
* - :ref:`sphx_glr_get_started_tutorials_ir_module.py` (``../get_started/tutorials/ir_module.py``)
- - 00:06.010
+ - 00:07.278
- 0.0
* - :ref:`sphx_glr_how_to_tutorials_import_model.py` (``../how_to/tutorials/import_model.py``)
- - 00:03.363
- - 0.0
- * - :ref:`sphx_glr_how_to_tutorials_customize_opt.py` (``../how_to/tutorials/customize_opt.py``)
- - 00:00.749
+ - 00:06.620
- 0.0
* - :ref:`sphx_glr_how_to_tutorials_e2e_opt_model.py` (``../how_to/tutorials/e2e_opt_model.py``)
- - 00:00.560
+ - 00:00.797
+ - 0.0
+ * - :ref:`sphx_glr_how_to_tutorials_customize_opt.py` (``../how_to/tutorials/customize_opt.py``)
+ - 00:00.757
- 0.0
* - :ref:`sphx_glr_how_to_tutorials_cross_compilation_and_rpc.py` (``../how_to/tutorials/cross_compilation_and_rpc.py``)
- - 00:00.479
+ - 00:00.478
- 0.0
* - :ref:`sphx_glr_deep_dive_tensor_ir_tutorials_tir_transformation.py` (``../deep_dive/tensor_ir/tutorials/tir_transformation.py``)
- - 00:00.294
+ - 00:00.307
- 0.0
* - :ref:`sphx_glr_deep_dive_tensor_ir_tutorials_tir_creation.py` (``../deep_dive/tensor_ir/tutorials/tir_creation.py``)
- - 00:00.276
+ - 00:00.281
- 0.0
* - :ref:`sphx_glr_get_started_tutorials_quick_start.py` (``../get_started/tutorials/quick_start.py``)
- - 00:00.154
+ - 00:00.161
- 0.0
* - :ref:`sphx_glr_deep_dive_relax_tutorials_relax_creation.py` (``../deep_dive/relax/tutorials/relax_creation.py``)
- - 00:00.151
+ - 00:00.155
- 0.0
* - :ref:`sphx_glr_deep_dive_tensor_ir_tutorials_dlight_gpu_scheduling.py` (``../deep_dive/tensor_ir/tutorials/dlight_gpu_scheduling.py``)
- 00:00.118
@@ -69,7 +69,7 @@ Computation times
- 00:00.054
- 0.0
* - :ref:`sphx_glr_how_to_tutorials_bring_your_own_codegen.py` (``../how_to/tutorials/bring_your_own_codegen.py``)
- - 00:00.040
+ - 00:00.039
- 0.0
* - :ref:`sphx_glr_deep_dive_tensor_ir_tutorials_meta_schedule.py` (``../deep_dive/tensor_ir/tutorials/meta_schedule.py``)
- 00:00.007
diff --git a/docs/commit_hash b/docs/commit_hash
index 32c488a7198..b7832a02145 100644
--- a/docs/commit_hash
+++ b/docs/commit_hash
@@ -1 +1 @@
-d37b6abd5632536de64ab439527a08af4f1b2283
+3918e143893147beaf673cfc9cf269fe652b7a8f
diff --git a/docs/deep_dive/relax/tutorials/sg_execution_times.html b/docs/deep_dive/relax/tutorials/sg_execution_times.html
index 4c819142eaa..d289cac720a 100644
--- a/docs/deep_dive/relax/tutorials/sg_execution_times.html
+++ b/docs/deep_dive/relax/tutorials/sg_execution_times.html
@@ -297,7 +297,7 @@
<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>00:00.205</strong> total execution time for 2 files <strong>from deep_dive/relax/tutorials</strong>:</p>
+<p><strong>00:00.209</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" />
@@ -319,7 +319,7 @@ $(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>00:00.151</p></td>
+<td><p>00:00.155</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>
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 615c98cb7ce..a33285b0790 100644
--- a/docs/deep_dive/tensor_ir/tutorials/sg_execution_times.html
+++ b/docs/deep_dive/tensor_ir/tutorials/sg_execution_times.html
@@ -297,7 +297,7 @@
<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>00:00.696</strong> total execution time for 4 files <strong>from deep_dive/tensor_ir/tutorials</strong>:</p>
+<p><strong>00:00.713</strong> total execution time for 4 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" />
@@ -319,11 +319,11 @@ $(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>00:00.294</p></td>
+<td><p>00:00.307</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>00:00.276</p></td>
+<td><p>00:00.281</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="dlight_gpu_scheduling.html#sphx-glr-deep-dive-tensor-ir-tutorials-dlight-gpu-scheduling-py"><span class="std std-ref">DLight: Rule-Based GPU Scheduling</span></a> (<code class="docutils literal notranslate"><span class="pre">dlight_gpu_scheduling.py</span></code>)</p></td>
diff --git a/docs/deep_dive/tensor_ir/tutorials/tir_creation.html b/docs/deep_dive/tensor_ir/tutorials/tir_creation.html
index 3d90cfb6857..ffe9e25bf80 100644
--- a/docs/deep_dive/tensor_ir/tutorials/tir_creation.html
+++ b/docs/deep_dive/tensor_ir/tutorials/tir_creation.html
@@ -495,17 +495,17 @@ be used to ascertain the shape and data type of a TensorIR.</p>
<span class="nb">print</span><span class="p">(</span><span class="n">evaluate_dynamic_shape</span><span class="p">(</span><span class="n">dyn_shape_lib</span><span class="p">,</span> <span class="n">m</span><span class="o">=</span><span class="mi">64</span><span class="p">,</span> <span class="n">n</span><span class="o">=</span><span class="mi">64</span><span class="p">,</span> <a href="../../../reference/api/python/tirx/tirx.html#tvm.tirx.IterVar" title="tvm.tirx.IterVar" class="sphx-gl [...]
</pre></div>
</div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>[[0.35592964 1.0437846 0.6279316 0.9471333 ]
- [0.5908437 1.2044268 0.6757088 0.89018905]
- [0.5882993 1.151075 0.9759689 1.0205501 ]
- [1.0021574 1.1561978 0.77182686 0.5503051 ]]
-[[35.353535 32.702656 32.97155 ... 32.767204 32.613617 33.78364 ]
- [34.854786 30.492184 29.183306 ... 32.81537 32.03879 31.23301 ]
- [34.116257 30.495352 30.293177 ... 31.128277 31.286713 28.90253 ]
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>[[1.1440977 1.1558623 1.1027379 1.1465582]
+ [1.8138757 1.7512794 1.5319556 1.374408 ]
+ [1.0980444 1.3206491 1.1557257 1.346201 ]
+ [2.1823525 2.1042876 1.972802 2.0402985]]
+[[34.91427 34.70371 30.571775 ... 33.54301 35.690296 33.177704]
+ [28.545404 29.58899 29.252745 ... 29.54001 30.815067 30.295847]
+ [36.799976 34.730762 31.922344 ... 34.155704 36.393276 34.03265 ]
...
- [33.456898 32.425644 31.716583 ... 35.308838 32.178406 33.386414]
- [34.39524 33.48007 33.067047 ... 32.117058 31.796957 31.927954]
- [33.062332 30.23435 31.244572 ... 33.994118 31.58093 30.48535 ]]
+ [34.57664 32.36538 28.753754 ... 34.29726 32.320847 30.906872]
+ [31.182383 31.088177 27.79875 ... 31.462543 33.32074 31.563719]
+ [29.739634 31.048658 25.807543 ... 30.028486 31.925644 30.080156]]
</pre></div>
</div>
</section>
diff --git a/docs/deep_dive/tensor_ir/tutorials/tir_transformation.html b/docs/deep_dive/tensor_ir/tutorials/tir_transformation.html
index 0cc334c4d88..f8916cfb872 100644
--- a/docs/deep_dive/tensor_ir/tutorials/tir_transformation.html
+++ b/docs/deep_dive/tensor_ir/tutorials/tir_transformation.html
@@ -374,7 +374,7 @@ 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)
- 2.6066 2.6066 2.6066 2.6066 0.0000
+ 2.7772 2.7772 2.7772 2.7772 0.0000
</pre></div>
</div>
<section id="initialization-schedule">
@@ -472,7 +472,7 @@ class Module:
Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 0.8616 0.8616 0.8616 0.8616 0.0000
+ 0.8705 0.8705 0.8705 0.8705 0.0000
</pre></div>
</div>
</section>
@@ -568,7 +568,7 @@ class Module:
Execution time summary:
mean (ms) median (ms) max (ms) min (ms) std (ms)
- 0.3509 0.3509 0.3509 0.3509 0.0000
+ 0.3539 0.3539 0.3539 0.3539 0.0000
</pre></div>
</div>
</section>
diff --git a/docs/genindex.html b/docs/genindex.html
index 92a97e47125..4f7ba02f1ef 100644
--- a/docs/genindex.html
+++ b/docs/genindex.html
@@ -524,16 +524,14 @@
<li><a href="reference/api/python/tirx/transform.html#tvm.tirx.transform.SimplifyConfig.apply_constraints_to_boolean_branches">apply_constraints_to_boolean_branches (tvm.tirx.transform.SimplifyConfig property)</a>
</li>
<li><a href="reference/api/python/s_tir/schedule.html#tvm.s_tir.schedule.Trace.apply_json_to_schedule">apply_json_to_schedule() (tvm.s_tir.schedule.Trace static method)</a>
-</li>
- <li><a href="reference/api/python/s_tir/schedule.html#tvm.s_tir.schedule.Trace.apply_to_schedule">apply_to_schedule() (tvm.s_tir.schedule.Trace method)</a>
</li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="reference/api/python/s_tir/schedule.html#tvm.s_tir.schedule.Trace.apply_to_schedule">apply_to_schedule() (tvm.s_tir.schedule.Trace method)</a>
+</li>
<li><a href="reference/api/python/tirx/tirx.html#tvm.tirx.Layout.apply_to_shape">apply_to_shape() (tvm.tirx.Layout method)</a>
</li>
<li><a href="reference/api/python/s_tir/dlight.html#tvm.s_tir.dlight.ApplyDefaultSchedule">ApplyDefaultSchedule (class in tvm.s_tir.dlight)</a>
-</li>
- <li><a href="reference/api/python/transform.html#tvm.ir.transform.ApplyPassToFunction">ApplyPassToFunction() (in module tvm.ir.transform)</a>
</li>
<li><a href="reference/api/python/relax/op.html#tvm.relax.op.arange">arange() (in module tvm.relax.op)</a>
</li>
diff --git a/docs/get_started/tutorials/ir_module.html b/docs/get_started/tutorials/ir_module.html
index 5fbd81094be..3663cce4ee3 100644
--- a/docs/get_started/tutorials/ir_module.html
+++ b/docs/get_started/tutorials/ir_module.html
@@ -811,16 +811,16 @@ backends.</p>
<p>We can deploy the IRModule on CPU by specifying the target as <code class="docutils literal notranslate"><span class="pre">llvm</span></code>.</p>
<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="../../reference/api/python/relax/relax.html#tvm.relax.VMExecutable" title="tvm.relax.VMExecutable" class="sphx-glr-backref-module-tvm-relax sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">exec</span></a> <span class="o">=</span> <a href="../../reference/api/python/driver.html#tvm.compile" title="tvm.compile" class="sphx-glr-backref-module-tvm sphx-glr-backref-type-py-func [...]
<span class="n">dev</span> <span class="o">=</span> <span class="n">tvm</span><span class="o">.</span><span class="n">cpu</span><span class="p">()</span>
-<a href="../../reference/api/python/runtime/vm.html#tvm.runtime.vm.VirtualMachine" title="tvm.runtime.vm.VirtualMachine" class="sphx-glr-backref-module-tvm-runtime-vm sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">vm</span></a> <span class="o">=</span> <a href="../../reference/api/python/runtime/vm.html#tvm.runtime.vm.VirtualMachine" title="tvm.runtime.vm.VirtualMachine" class="sphx-glr-backref-module-tvm-runtime-vm sphx-glr-backref-type-py-class"><span class=" [...]
+<span class="n">vm</span> <span class="o">=</span> <a href="../../reference/api/python/relax/relax.html#tvm.relax.VirtualMachine" title="tvm.relax.VirtualMachine" class="sphx-glr-backref-module-tvm-relax sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">relax</span><span class="o">.</span><span class="n">VirtualMachine</span></a><span class="p">(</span><a href="../../reference/api/python/relax/relax.html#tvm.relax.VMExecutable" title="tvm.relax.VMExecutable" class [...]
<span class="n">raw_data</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">rand</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">784</span><span class="p">)</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="s2">"float32"</span><span class="p">)</span>
<span class="n">data</span> <span class="o">=</span> <span class="n">tvm</span><span class="o">.</span><span class="n">runtime</span><span class="o">.</span><span class="n">tensor</span><span class="p">(</span><span class="n">raw_data</span><span class="p">,</span> <span class="n">dev</span><span class="p">)</span>
-<span class="n">cpu_out</span> <span class="o">=</span> <a href="../../reference/api/python/runtime/vm.html#tvm.runtime.vm.VirtualMachine" title="tvm.runtime.vm.VirtualMachine" class="sphx-glr-backref-module-tvm-runtime-vm sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">vm</span></a><span class="p">[</span><span class="s2">"main"</span><span class="p">](</span><span class="n">data</span><span class="p">,</span> <span class="o">*</span><a href="https:// [...]
+<span class="n">cpu_out</span> <span class="o">=</span> <span class="n">vm</span><span class="p">[</span><span class="s2">"main"</span><span class="p">](</span><span class="n">data</span><span class="p">,</span> <span class="o">*</span><a href="https://docs.python.org/3/library/stdtypes.html#dict" title="builtins.dict" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">params_from_torch</span></a><span class="p">[</ [...]
<span class="nb">print</span><span class="p">(</span><span class="n">cpu_out</span><span class="p">)</span>
</pre></div>
</div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>[[ 0.08228809 0.11980871 0.00497113 -0.00694309 0.14748162 -0.27334356
- 0.082188 0.3194016 -0.11423995 0.11312704]]
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>[[-0.09514867 0.20464444 -0.2585247 0.16513585 -0.18904284 0.1962394
+ 0.25113857 0.25131094 0.17377909 -0.07872176]]
</pre></div>
</div>
</section>
@@ -843,19 +843,19 @@ the details of <code class="docutils literal notranslate"><span class="pre">DLig
<p>Now we can compile the IRModule on GPU, the similar way as we did on CPU.</p>
<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="../../reference/api/python/relax/relax.html#tvm.relax.VMExecutable" title="tvm.relax.VMExecutable" class="sphx-glr-backref-module-tvm-relax sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">exec</span></a> <span class="o">=</span> <a href="../../reference/api/python/driver.html#tvm.compile" title="tvm.compile" class="sphx-glr-backref-module-tvm sphx-glr-backref-type-py-func [...]
<span class="n">dev</span> <span class="o">=</span> <span class="n">tvm</span><span class="o">.</span><span class="n">device</span><span class="p">(</span><span class="s2">"cuda"</span><span class="p">,</span> <span class="mi">0</span><span class="p">)</span>
-<a href="../../reference/api/python/runtime/vm.html#tvm.runtime.vm.VirtualMachine" title="tvm.runtime.vm.VirtualMachine" class="sphx-glr-backref-module-tvm-runtime-vm sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">vm</span></a> <span class="o">=</span> <a href="../../reference/api/python/runtime/vm.html#tvm.runtime.vm.VirtualMachine" title="tvm.runtime.vm.VirtualMachine" class="sphx-glr-backref-module-tvm-runtime-vm sphx-glr-backref-type-py-class"><span class=" [...]
+<span class="n">vm</span> <span class="o">=</span> <a href="../../reference/api/python/relax/relax.html#tvm.relax.VirtualMachine" title="tvm.relax.VirtualMachine" class="sphx-glr-backref-module-tvm-relax sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">relax</span><span class="o">.</span><span class="n">VirtualMachine</span></a><span class="p">(</span><a href="../../reference/api/python/relax/relax.html#tvm.relax.VMExecutable" title="tvm.relax.VMExecutable" class [...]
<span class="c1"># Need to allocate data and params on GPU device</span>
<span class="n">data</span> <span class="o">=</span> <span class="n">tvm</span><span class="o">.</span><span class="n">runtime</span><span class="o">.</span><span class="n">tensor</span><span class="p">(</span><span class="n">raw_data</span><span class="p">,</span> <span class="n">dev</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">gpu_params</span></a> <span class="o">=</span> <span class="p">[</span><span class="n">tvm</span><span class="o">.</span><span class="n">runtime</span><span class="o">.</span><span class="n">tensor</span><span class="p">(</span><span class="n">p</span><span class="p">,</span> <span class="n"> [...]
-<span class="n">gpu_out</span> <span class="o">=</span> <a href="../../reference/api/python/runtime/vm.html#tvm.runtime.vm.VirtualMachine" title="tvm.runtime.vm.VirtualMachine" class="sphx-glr-backref-module-tvm-runtime-vm sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">vm</span></a><span class="p">[</span><span class="s2">"main"</span><span class="p">](</span><span class="n">data</span><span class="p">,</span> <span class="o">*</span><a href="https:// [...]
+<span class="n">gpu_out</span> <span class="o">=</span> <span class="n">vm</span><span class="p">[</span><span class="s2">"main"</span><span class="p">](</span><span class="n">data</span><span class="p">,</span> <span class="o">*</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">gpu_params</span></a><span class="p">)</span><s [...]
<span class="nb">print</span><span class="p">(</span><span class="n">gpu_out</span><span class="p">)</span>
<span class="c1"># Check the correctness of the results</span>
<span class="k">assert</span> <span class="n">np</span><span class="o">.</span><span class="n">allclose</span><span class="p">(</span><span class="n">cpu_out</span><span class="p">,</span> <span class="n">gpu_out</span><span class="p">,</span> <span class="n">atol</span><span class="o">=</span><span class="mf">1e-3</span><span class="p">)</span>
</pre></div>
</div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>[[ 0.08228813 0.1198087 0.00497113 -0.00694309 0.14748165 -0.27334353
- 0.08218806 0.31940156 -0.11424001 0.11312707]]
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>[[-0.09514867 0.20464438 -0.25852472 0.16513582 -0.1890428 0.19623935
+ 0.2511387 0.2513109 0.1737791 -0.07872176]]
</pre></div>
</div>
</section>
diff --git a/docs/get_started/tutorials/quick_start.html b/docs/get_started/tutorials/quick_start.html
index 4cd2dde03ae..d9588d9d963 100644
--- a/docs/get_started/tutorials/quick_start.html
+++ b/docs/get_started/tutorials/quick_start.html
@@ -452,16 +452,16 @@ different devices.</p>
<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">target</span></a> <span class="o">=</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"><span class="n">tvm</span><span class="o">.</span><span class="n">target< [...]
<a href="../../reference/api/python/relax/relax.html#tvm.relax.VMExecutable" title="tvm.relax.VMExecutable" class="sphx-glr-backref-module-tvm-relax sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ex</span></a> <span class="o">=</span> <a href="../../reference/api/python/driver.html#tvm.compile" title="tvm.compile" class="sphx-glr-backref-module-tvm sphx-glr-backref-type-py-function"><span class="n">tvm</span><span class="o">.</span><span class="n">compile</span [...]
<span class="n">device</span> <span class="o">=</span> <span class="n">tvm</span><span class="o">.</span><span class="n">cpu</span><span class="p">()</span>
-<a href="../../reference/api/python/runtime/vm.html#tvm.runtime.vm.VirtualMachine" title="tvm.runtime.vm.VirtualMachine" class="sphx-glr-backref-module-tvm-runtime-vm sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">vm</span></a> <span class="o">=</span> <a href="../../reference/api/python/runtime/vm.html#tvm.runtime.vm.VirtualMachine" title="tvm.runtime.vm.VirtualMachine" class="sphx-glr-backref-module-tvm-runtime-vm sphx-glr-backref-type-py-class"><span class=" [...]
+<span class="n">vm</span> <span class="o">=</span> <a href="../../reference/api/python/relax/relax.html#tvm.relax.VirtualMachine" title="tvm.relax.VirtualMachine" class="sphx-glr-backref-module-tvm-relax sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">relax</span><span class="o">.</span><span class="n">VirtualMachine</span></a><span class="p">(</span><a href="../../reference/api/python/relax/relax.html#tvm.relax.VMExecutable" title="tvm.relax.VMExecutable" class [...]
<span class="n">data</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">rand</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">784</span><span class="p">)</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="s2">"float32"</span><span class="p">)</span>
<span class="n">tvm_data</span> <span class="o">=</span> <span class="n">tvm</span><span class="o">.</span><span class="n">runtime</span><span class="o">.</span><span class="n">tensor</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">device</span><span class="o">=</span><span class="n">device</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">params</span></a> <span class="o">=</span> <span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">rand</span><span class="p">(</span><span class="o">*</span><span class="n">param</span><span class="o">.</sp [...]
<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">params</span></a> <span class="o">=</span> <span class="p">[</span><span class="n">tvm</span><span class="o">.</span><span class="n">runtime</span><span class="o">.</span><span class="n">tensor</span><span class="p">(</span><span class="n">param</span><span class="p">,</span> <span class="n"> [...]
-<span class="nb">print</span><span class="p">(</span><a href="../../reference/api/python/runtime/vm.html#tvm.runtime.vm.VirtualMachine" title="tvm.runtime.vm.VirtualMachine" class="sphx-glr-backref-module-tvm-runtime-vm sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">vm</span></a><span class="p">[</span><span class="s2">"forward"</span><span class="p">](</span><span class="n">tvm_data</span><span class="p">,</span> <span class="o">*</span><a href="http [...]
+<span class="nb">print</span><span class="p">(</span><span class="n">vm</span><span class="p">[</span><span class="s2">"forward"</span><span class="p">](</span><span class="n">tvm_data</span><span class="p">,</span> <span class="o">*</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">params</span></a><span class="p">)</span><s [...]
</pre></div>
</div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>[[24911.277 26150.074 24178.453 24624.072 25185.715 26936.389 27342.03
- 25225.727 26507.484 27625.71 ]]
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>[[26311.113 25643.793 23634.566 24194.342 24438.4 26334.598 24709.205
+ 26197.5 25252. 23954.744]]
</pre></div>
</div>
<p>Our goal is to bring machine learning to the application with any language of interest,
@@ -469,8 +469,8 @@ with the minimum runtime support.</p>
<ul>
<li><p>Each function in IRModule becomes a runnable function in the runtime. For example in LLM
cases, we can call <code class="docutils literal notranslate"><span class="pre">prefill</span></code> and <code class="docutils literal notranslate"><span class="pre">decode</span></code> functions directly.</p>
-<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="n">prefill_logits</span> <span class="o">=</span> <a href="../../reference/api/python/runtime/vm.html#tvm.runtime.vm.VirtualMachine" title="tvm.runtime.vm.VirtualMachine" class="sphx-glr-backref-module-tvm-runtime-vm sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">vm</span></a><span class="p">[</span><span class="s2">"prefill"</span><span class="p">](</span> [...]
-<span class="n">decoded_logits</span> <span class="o">=</span> <a href="../../reference/api/python/runtime/vm.html#tvm.runtime.vm.VirtualMachine" title="tvm.runtime.vm.VirtualMachine" class="sphx-glr-backref-module-tvm-runtime-vm sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">vm</span></a><span class="p">[</span><span class="s2">"decode"</span><span class="p">](</span><span class="n">inputs</span><span class="p">,</span> <span class="n">weight</span>< [...]
+<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="n">prefill_logits</span> <span class="o">=</span> <span class="n">vm</span><span class="p">[</span><span class="s2">"prefill"</span><span class="p">](</span><span class="n">inputs</span><span class="p">,</span> <span class="n">weight</span><span class="p">,</span> <span class="n">kv_cache</span><span class="p">)</span>
+<span class="n">decoded_logits</span> <span class="o">=</span> <span class="n">vm</span><span class="p">[</span><span class="s2">"decode"</span><span class="p">](</span><span class="n">inputs</span><span class="p">,</span> <span class="n">weight</span><span class="p">,</span> <span class="n">kv_cache</span><span class="p">)</span>
</pre></div>
</div>
</li>
@@ -485,15 +485,15 @@ copy exchange with existing ecosystem (DLPack exchange with PyTorch)</p>
</li>
<li><p>TVM runtime works in non-python environments, so it works on settings such as mobile</p>
<div class="highlight-C++ notranslate"><div class="highlight"><pre><span></span><span class="c1">// C++ snippet</span>
-<span class="n">runtime</span><span class="o">::</span><span class="n">Module</span><span class="w"> </span><a href="../../reference/api/python/runtime/vm.html#tvm.runtime.vm.VirtualMachine" title="tvm.runtime.vm.VirtualMachine" class="sphx-glr-backref-module-tvm-runtime-vm sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">vm</span></a><span class="w"> </span><span class="o">=</span><span class="w"> </span><a href="../../reference/api/python/relax/relax.html#tvm.r [...]
-<a href="../../reference/api/python/runtime/vm.html#tvm.runtime.vm.VirtualMachine" title="tvm.runtime.vm.VirtualMachine" class="sphx-glr-backref-module-tvm-runtime-vm sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">vm</span></a><span class="p">.</span><span class="n">GetFunction</span><span class="p">(</span><span class="s">"init"</span><span class="p">)(...);</span>
-<span class="n">Tensor</span><span class="w"> </span><span class="n">out</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><a href="../../reference/api/python/runtime/vm.html#tvm.runtime.vm.VirtualMachine" title="tvm.runtime.vm.VirtualMachine" class="sphx-glr-backref-module-tvm-runtime-vm sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">vm</span></a><span class="p">.</span><span class="n">GetFunction</span><span class="p">(</span><span [...]
+<span class="n">runtime</span><span class="o">::</span><span class="n">Module</span><span class="w"> </span><span class="n">vm</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><a href="../../reference/api/python/relax/relax.html#tvm.relax.VMExecutable" title="tvm.relax.VMExecutable" class="sphx-glr-backref-module-tvm-relax sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ex</span></a><span class="p">.</span><span class="n">GetFunction [...]
+<span class="n">vm</span><span class="p">.</span><span class="n">GetFunction</span><span class="p">(</span><span class="s">"init"</span><span class="p">)(...);</span>
+<span class="n">Tensor</span><span class="w"> </span><span class="n">out</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">vm</span><span class="p">.</span><span class="n">GetFunction</span><span class="p">(</span><span class="s">"prefill"</span><span class="p">)(</span><span class="n">data</span><span class="p">,</span><span class="w"> </span><span class="n">weight</span><span class="p">,</span><span class="w"> </span><span class="n" [...]
</pre></div>
</div>
<div class="highlight-Java notranslate"><div class="highlight"><pre><span></span><span class="c1">// Java snippet</span>
-<span class="n">Module</span><span class="w"> </span><a href="../../reference/api/python/runtime/vm.html#tvm.runtime.vm.VirtualMachine" title="tvm.runtime.vm.VirtualMachine" class="sphx-glr-backref-module-tvm-runtime-vm sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">vm</span></a><span class="w"> </span><span class="o">=</span><span class="w"> </span><a href="../../reference/api/python/relax/relax.html#tvm.relax.VMExecutable" title="tvm.relax.VMExecutable" class [...]
-<a href="../../reference/api/python/runtime/vm.html#tvm.runtime.vm.VirtualMachine" title="tvm.runtime.vm.VirtualMachine" class="sphx-glr-backref-module-tvm-runtime-vm sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">vm</span></a><span class="p">.</span><span class="na">getFunction</span><span class="p">(</span><span class="s">"init"</span><span class="p">).</span><span class="na">pushArg</span><span class="p">(...).</span><span class="na">invoke</span>< [...]
-<span class="n">Tensor</span><span class="w"> </span><span class="n">out</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><a href="../../reference/api/python/runtime/vm.html#tvm.runtime.vm.VirtualMachine" title="tvm.runtime.vm.VirtualMachine" class="sphx-glr-backref-module-tvm-runtime-vm sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">vm</span></a><span class="p">.</span><span class="na">getFunction</span><span class="p">(</span><spa [...]
+<span class="n">Module</span><span class="w"> </span><span class="n">vm</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><a href="../../reference/api/python/relax/relax.html#tvm.relax.VMExecutable" title="tvm.relax.VMExecutable" class="sphx-glr-backref-module-tvm-relax sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ex</span></a><span class="p">.</span><span class="na">getFunction</span><span class="p">(</span><span class="s">"l [...]
+<span class="n">vm</span><span class="p">.</span><span class="na">getFunction</span><span class="p">(</span><span class="s">"init"</span><span class="p">).</span><span class="na">pushArg</span><span class="p">(...).</span><span class="na">invoke</span><span class="p">;</span>
+<span class="n">Tensor</span><span class="w"> </span><span class="n">out</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">vm</span><span class="p">.</span><span class="na">getFunction</span><span class="p">(</span><span class="s">"prefill"</span><span class="p">).</span><span class="na">pushArg</span><span class="p">(</span><span class="n">data</span><span class="p">).</span><span class="na">pushArg</span><span class="p">(</span><spa [...]
</pre></div>
</div>
</li>
diff --git a/docs/get_started/tutorials/sg_execution_times.html b/docs/get_started/tutorials/sg_execution_times.html
index f5210232896..b1c65020f61 100644
--- a/docs/get_started/tutorials/sg_execution_times.html
+++ b/docs/get_started/tutorials/sg_execution_times.html
@@ -297,7 +297,7 @@
<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>
-<p><strong>00:06.164</strong> total execution time for 2 files <strong>from get_started/tutorials</strong>:</p>
+<p><strong>00:07.440</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" />
@@ -319,11 +319,11 @@ $(document).ready( function () {
</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>
-<td><p>00:06.010</p></td>
+<td><p>00:07.278</p></td>
<td><p>0.0</p></td>
</tr>
<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>
-<td><p>00:00.154</p></td>
+<td><p>00:00.161</p></td>
<td><p>0.0</p></td>
</tr>
</tbody>
diff --git a/docs/how_to/tutorials/bring_your_own_codegen.html b/docs/how_to/tutorials/bring_your_own_codegen.html
index 91976b99c85..79d36c8340d 100644
--- a/docs/how_to/tutorials/bring_your_own_codegen.html
+++ b/docs/how_to/tutorials/bring_your_own_codegen.html
@@ -469,7 +469,7 @@ and <code class="docutils literal notranslate"><span class="pre">USE_EXAMPLE_NPU
<span class="k">with</span> <a href="../../reference/api/python/transform.html#tvm.ir.transform.PassContext" title="tvm.ir.transform.PassContext" class="sphx-glr-backref-module-tvm-ir-transform sphx-glr-backref-type-py-class"><span class="n">tvm</span><span class="o">.</span><span class="n">transform</span><span class="o">.</span><span class="n">PassContext</span></a><span class="p">(</span><span class="n">opt_level</span><span class="o">=</span><span class="mi">3</span><span class=" [...]
<span class="n">built</span> <span class="o">=</span> <a href="../../reference/api/python/relax/relax.html#tvm.relax.build" title="tvm.relax.build" class="sphx-glr-backref-module-tvm-relax sphx-glr-backref-type-py-function"><span class="n">relax</span><span class="o">.</span><span class="n">build</span></a><span class="p">(</span><span class="n">mod</span><span class="p">,</span> <a href="../../reference/api/python/target.html#tvm.target.Target" title="tvm.target.Target" class="s [...]
- <span class="n">vm</span> <span class="o">=</span> <a href="../../reference/api/python/runtime/vm.html#tvm.runtime.vm.VirtualMachine" title="tvm.runtime.vm.VirtualMachine" class="sphx-glr-backref-module-tvm-runtime-vm sphx-glr-backref-type-py-class"><span class="n">relax</span><span class="o">.</span><span class="n">VirtualMachine</span></a><span class="p">(</span><span class="n">built</span><span class="p">,</span> <span class="n">tvm</span><span class="o">.</span><span class="n">cp [...]
+ <span class="n">vm</span> <span class="o">=</span> <a href="../../reference/api/python/relax/relax.html#tvm.relax.VirtualMachine" title="tvm.relax.VirtualMachine" class="sphx-glr-backref-module-tvm-relax sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">relax</span><span class="o">.</span><span class="n">VirtualMachine</span></a><span class="p">(</span><span class="n">built</span><span class="p">,</span> <span class="n">tvm</span><span class="o">.</span><span [...]
<span class="n">result</span> <span class="o">=</span> <span class="n">vm</span><span class="p">[</span><span class="s2">"main"</span><span class="p">](</span><span class="n">tvm</span><span class="o">.</span><span class="n">runtime</span><span class="o">.</span><span class="n">tensor</span><span class="p">(</span><span class="n">x_np</span><span class="p">,</span> <span class="n">tvm</span><span class="o">.</span><span class="n">cpu</span><span class="p">()),</span> <span [...]
<span class="k">assert</span> <span class="n">result</span><span class="o">.</span><span class="n">numpy</span><span class="p">()</span><span class="o">.</span><span class="n">shape</span> <span class="o">==</span> <span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">8</span><span class="p">)</span>
@@ -509,7 +509,7 @@ priority), both ops are offloaded as a single composite function.</p>
<span class="n">x2_np</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">randn</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">32</span><span class="p">,</span> <span class="mi">32</span><span class="p">)</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><s [...]
<span class="n">w2_np</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">randn</span><span class="p">(</span><span class="mi">16</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">3</span><span class="p">)</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><sp [...]
- <span class="n">vm2</span> <span class="o">=</span> <a href="../../reference/api/python/runtime/vm.html#tvm.runtime.vm.VirtualMachine" title="tvm.runtime.vm.VirtualMachine" class="sphx-glr-backref-module-tvm-runtime-vm sphx-glr-backref-type-py-class"><span class="n">relax</span><span class="o">.</span><span class="n">VirtualMachine</span></a><span class="p">(</span><span class="n">built2</span><span class="p">,</span> <span class="n">tvm</span><span class="o">.</span><span class="n"> [...]
+ <span class="n">vm2</span> <span class="o">=</span> <a href="../../reference/api/python/relax/relax.html#tvm.relax.VirtualMachine" title="tvm.relax.VirtualMachine" class="sphx-glr-backref-module-tvm-relax sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">relax</span><span class="o">.</span><span class="n">VirtualMachine</span></a><span class="p">(</span><span class="n">built2</span><span class="p">,</span> <span class="n">tvm</span><span class="o">.</span><spa [...]
<span class="n">result2</span> <span class="o">=</span> <span class="n">vm2</span><span class="p">[</span><span class="s2">"main"</span><span class="p">](</span>
<span class="n">tvm</span><span class="o">.</span><span class="n">runtime</span><span class="o">.</span><span class="n">tensor</span><span class="p">(</span><span class="n">x2_np</span><span class="p">,</span> <span class="n">tvm</span><span class="o">.</span><span class="n">cpu</span><span class="p">()),</span> <span class="n">tvm</span><span class="o">.</span><span class="n">runtime</span><span class="o">.</span><span class="n">tensor</span><span class="p">(</span><span class=" [...]
<span class="p">)</span>
diff --git a/docs/how_to/tutorials/cross_compilation_and_rpc.html b/docs/how_to/tutorials/cross_compilation_and_rpc.html
index 8d53d949969..69c939ebb94 100644
--- a/docs/how_to/tutorials/cross_compilation_and_rpc.html
+++ b/docs/how_to/tutorials/cross_compilation_and_rpc.html
@@ -990,8 +990,8 @@ for ONNX models. Simply replace <code class="docutils literal notranslate"><span
Converted PyTorch model to Relax:
- Number of parameters: 4
Using local target for demonstration
-Exported library to: /tmp/tmpro7ueu0e/model_deployed.so
-Saved parameters to: /tmp/tmpro7ueu0e/model_params.npz
+Exported library to: /tmp/tmpngc4gpb2/model_deployed.so
+Saved parameters to: /tmp/tmpngc4gpb2/model_params.npz
RPC workflow (works for any remote device):
==================================================
diff --git a/docs/how_to/tutorials/customize_opt.html b/docs/how_to/tutorials/customize_opt.html
index f316313854d..8186514cc5d 100644
--- a/docs/how_to/tutorials/customize_opt.html
+++ b/docs/how_to/tutorials/customize_opt.html
@@ -613,16 +613,16 @@ pushing the performance to the limit. The current optimization may not be the be
<p>We can build and deploy the optimized model to the TVM runtime.</p>
<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="../../reference/api/python/relax/relax.html#tvm.relax.VMExecutable" title="tvm.relax.VMExecutable" class="sphx-glr-backref-module-tvm-relax sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ex</span></a> <span class="o">=</span> <a href="../../reference/api/python/driver.html#tvm.compile" title="tvm.compile" class="sphx-glr-backref-module-tvm sphx-glr-backref-type-py-functi [...]
<span class="n">dev</span> <span class="o">=</span> <span class="n">tvm</span><span class="o">.</span><span class="n">device</span><span class="p">(</span><span class="s2">"cuda"</span><span class="p">,</span> <span class="mi">0</span><span class="p">)</span>
-<a href="../../reference/api/python/runtime/vm.html#tvm.runtime.vm.VirtualMachine" title="tvm.runtime.vm.VirtualMachine" class="sphx-glr-backref-module-tvm-runtime-vm sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">vm</span></a> <span class="o">=</span> <a href="../../reference/api/python/runtime/vm.html#tvm.runtime.vm.VirtualMachine" title="tvm.runtime.vm.VirtualMachine" class="sphx-glr-backref-module-tvm-runtime-vm sphx-glr-backref-type-py-class"><span class=" [...]
+<span class="n">vm</span> <span class="o">=</span> <a href="../../reference/api/python/relax/relax.html#tvm.relax.VirtualMachine" title="tvm.relax.VirtualMachine" class="sphx-glr-backref-module-tvm-relax sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">relax</span><span class="o">.</span><span class="n">VirtualMachine</span></a><span class="p">(</span><a href="../../reference/api/python/relax/relax.html#tvm.relax.VMExecutable" title="tvm.relax.VMExecutable" class [...]
<span class="c1"># Need to allocate data and params on GPU device</span>
<span class="n">data</span> <span class="o">=</span> <span class="n">tvm</span><span class="o">.</span><span class="n">runtime</span><span class="o">.</span><span class="n">tensor</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">rand</span><span class="p">(</span><span class="o">*</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-ba [...]
<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">gpu_params</span></a> <span class="o">=</span> <span class="p">[</span><span class="n">tvm</span><span class="o">.</span><span class="n">runtime</span><span class="o">.</span><span class="n">tensor</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n"> [...]
-<span class="n">gpu_out</span> <span class="o">=</span> <a href="../../reference/api/python/runtime/vm.html#tvm.runtime.vm.VirtualMachine" title="tvm.runtime.vm.VirtualMachine" class="sphx-glr-backref-module-tvm-runtime-vm sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">vm</span></a><span class="p">[</span><span class="s2">"forward"</span><span class="p">](</span><span class="n">data</span><span class="p">,</span> <span class="o">*</span><a href="https [...]
+<span class="n">gpu_out</span> <span class="o">=</span> <span class="n">vm</span><span class="p">[</span><span class="s2">"forward"</span><span class="p">](</span><span class="n">data</span><span class="p">,</span> <span class="o">*</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">gpu_params</span></a><span class="p">)</span [...]
<span class="nb">print</span><span class="p">(</span><span class="n">gpu_out</span><span class="p">)</span>
</pre></div>
</div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>[[25271.166 26545.979 26504.705 26104.355 24387.297 25040.48 26058.639
- 26675.707 24929.887 24229.127]]
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>[[27411.555 25704.182 26873.406 26351.242 26503.16 26150.121 24960.18
+ 24091.803 25003.656 26727.21 ]]
</pre></div>
</div>
</section>
diff --git a/docs/how_to/tutorials/e2e_opt_model.html b/docs/how_to/tutorials/e2e_opt_model.html
index 00682fbcc98..3c477f5be7e 100644
--- a/docs/how_to/tutorials/e2e_opt_model.html
+++ b/docs/how_to/tutorials/e2e_opt_model.html
@@ -332,8 +332,8 @@ PyTorch.</p>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>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]
- 72%|███████▏ | 32.0M/44.7M [00:00<00:00, 335MB/s]
-100%|██████████| 44.7M/44.7M [00:00<00:00, 365MB/s]
+ 67%|██████▋ | 29.9M/44.7M [00:00<00:00, 313MB/s]
+100%|██████████| 44.7M/44.7M [00:00<00:00, 346MB/s]
</pre></div>
</div>
</section>
@@ -434,7 +434,7 @@ We skip this step in the CI environment.</p>
<span class="n">mod</span> <span class="o">=</span> <span class="n">tvm</span><span class="o">.</span><span class="n">s_tir</span><span class="o">.</span><span class="n">transform</span><span class="o">.</span><span class="n">DefaultGPUSchedule</span><span class="p">()(</span><span class="n">mod</span><span class="p">)</span>
<span class="n">ex</span> <span class="o">=</span> <a href="../../reference/api/python/driver.html#tvm.compile" title="tvm.compile" class="sphx-glr-backref-module-tvm sphx-glr-backref-type-py-function"><span class="n">tvm</span><span class="o">.</span><span class="n">compile</span></a><span class="p">(</span><span class="n">mod</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 [...]
<span class="n">dev</span> <span class="o">=</span> <span class="n">tvm</span><span class="o">.</span><span class="n">device</span><span class="p">(</span><span class="s2">"cuda"</span><span class="p">,</span> <span class="mi">0</span><span class="p">)</span>
- <span class="n">vm</span> <span class="o">=</span> <a href="../../reference/api/python/runtime/vm.html#tvm.runtime.vm.VirtualMachine" title="tvm.runtime.vm.VirtualMachine" class="sphx-glr-backref-module-tvm-runtime-vm sphx-glr-backref-type-py-class"><span class="n">relax</span><span class="o">.</span><span class="n">VirtualMachine</span></a><span class="p">(</span><span class="n">ex</span><span class="p">,</span> <span class="n">dev</span><span class="p">)</span>
+ <span class="n">vm</span> <span class="o">=</span> <a href="../../reference/api/python/relax/relax.html#tvm.relax.VirtualMachine" title="tvm.relax.VirtualMachine" class="sphx-glr-backref-module-tvm-relax sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">relax</span><span class="o">.</span><span class="n">VirtualMachine</span></a><span class="p">(</span><span class="n">ex</span><span class="p">,</span> <span class="n">dev</span><span class="p">)</span>
<span class="c1"># Need to allocate data and params on GPU device</span>
<span class="n">gpu_data</span> <span class="o">=</span> <span class="n">tvm</span><span class="o">.</span><span class="n">runtime</span><span class="o">.</span><span class="n">tensor</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">rand</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">224< [...]
<span class="n">gpu_params</span> <span class="o">=</span> <span class="p">[</span><span class="n">tvm</span><span class="o">.</span><span class="n">runtime</span><span class="o">.</span><span class="n">tensor</span><span class="p">(</span><span class="n">p</span><span class="p">,</span> <span class="n">dev</span><span class="p">)</span> <span class="k">for</span> <span class="n">p</span> <span class="ow">in</span> <span class="n">params</span><span class="p">[</span><span class="s2" [...]
diff --git a/docs/how_to/tutorials/export_and_load_executable.html b/docs/how_to/tutorials/export_and_load_executable.html
index 9f6dd6da4f7..7374773bb04 100644
--- a/docs/how_to/tutorials/export_and_load_executable.html
+++ b/docs/how_to/tutorials/export_and_load_executable.html
@@ -446,7 +446,7 @@ runtime module directly.</p>
<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="k">if</span> <a href="https://docs.python.org/3/library/functions.html#bool" title="builtins.bool" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">RUN_EXAMPLE</span></a><span class="p">:</span>
<span class="n">loaded_rt_mod</span> <span class="o">=</span> <span class="n">tvm</span><span class="o">.</span><span class="n">runtime</span><span class="o">.</span><span class="n">load_module</span><span class="p">(</span><span class="nb">str</span><span class="p">(</span><span class="n">library_path</span><span class="p">))</span>
<span class="n">dev</span> <span class="o">=</span> <span class="n">tvm</span><span class="o">.</span><span class="n">cpu</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
- <span class="n">vm</span> <span class="o">=</span> <a href="../../reference/api/python/runtime/vm.html#tvm.runtime.vm.VirtualMachine" title="tvm.runtime.vm.VirtualMachine" class="sphx-glr-backref-module-tvm-runtime-vm sphx-glr-backref-type-py-class"><span class="n">relax</span><span class="o">.</span><span class="n">VirtualMachine</span></a><span class="p">(</span><span class="n">loaded_rt_mod</span><span class="p">,</span> <span class="n">dev</span><span class="p">)</span>
+ <span class="n">vm</span> <span class="o">=</span> <a href="../../reference/api/python/relax/relax.html#tvm.relax.VirtualMachine" title="tvm.relax.VirtualMachine" class="sphx-glr-backref-module-tvm-relax sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">relax</span><span class="o">.</span><span class="n">VirtualMachine</span></a><span class="p">(</span><span class="n">loaded_rt_mod</span><span class="p">,</span> <span class="n">dev</span><span class="p">)</span>
<span class="c1"># Prepare input data</span>
<span class="n">input_tensor</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">randn</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">28</span><span class="p">,</span> <span class="mi">28</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">torch</span><span class="o">.</span><span class="n">f [...]
@@ -527,7 +527,7 @@ of how to reload and run the model. Save this as <code class="docutils literal n
<span class="c1"># Step 2: Create Virtual Machine</span>
<span class="n">device</span> <span class="o">=</span> <span class="n">tvm</span><span class="o">.</span><span class="n">cpu</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
-<span class="n">vm</span> <span class="o">=</span> <a href="../../reference/api/python/runtime/vm.html#tvm.runtime.vm.VirtualMachine" title="tvm.runtime.vm.VirtualMachine" class="sphx-glr-backref-module-tvm-runtime-vm sphx-glr-backref-type-py-class"><span class="n">relax</span><span class="o">.</span><span class="n">VirtualMachine</span></a><span class="p">(</span><span class="n">lib</span><span class="p">,</span> <span class="n">device</span><span class="p">)</span>
+<span class="n">vm</span> <span class="o">=</span> <a href="../../reference/api/python/relax/relax.html#tvm.relax.VirtualMachine" title="tvm.relax.VirtualMachine" class="sphx-glr-backref-module-tvm-relax sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">relax</span><span class="o">.</span><span class="n">VirtualMachine</span></a><span class="p">(</span><span class="n">lib</span><span class="p">,</span> <span class="n">device</span><span class="p">)</span>
<span class="c1"># Step 3: Load parameters from the .npz file</span>
<span class="n">params_npz</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="s2">"relax_export_artifacts/model_params.npz"</span><span class="p">)</span>
@@ -562,7 +562,7 @@ To run on GPU instead of CPU, make the following changes:</p>
</li>
<li><p><strong>Use GPU device in the script</strong>:</p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">device</span> <span class="o">=</span> <span class="n">tvm</span><span class="o">.</span><span class="n">cuda</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span> <span class="c1"># Use CUDA device instead of CPU</span>
-<span class="n">vm</span> <span class="o">=</span> <a href="../../reference/api/python/runtime/vm.html#tvm.runtime.vm.VirtualMachine" title="tvm.runtime.vm.VirtualMachine" class="sphx-glr-backref-module-tvm-runtime-vm sphx-glr-backref-type-py-class"><span class="n">relax</span><span class="o">.</span><span class="n">VirtualMachine</span></a><span class="p">(</span><span class="n">lib</span><span class="p">,</span> <span class="n">device</span><span class="p">)</span>
+<span class="n">vm</span> <span class="o">=</span> <a href="../../reference/api/python/relax/relax.html#tvm.relax.VirtualMachine" title="tvm.relax.VirtualMachine" class="sphx-glr-backref-module-tvm-relax sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">relax</span><span class="o">.</span><span class="n">VirtualMachine</span></a><span class="p">(</span><span class="n">lib</span><span class="p">,</span> <span class="n">device</span><span class="p">)</span>
<span class="c1"># Load parameters to GPU</span>
<span class="n">params</span> <span class="o">=</span> <span class="p">[</span><span class="n">tvm</span><span class="o">.</span><span class="n">runtime</span><span class="o">.</span><span class="n">tensor</span><span class="p">(</span><span class="n">params_npz</span><span class="p">[</span><span class="sa">f</span><span class="s2">"p_</span><span class="si">{</span><span class="n">i</span><span class="si">}</span><span class="s2">"</span><span class="p">],</span> <span class= [...]
@@ -625,7 +625,7 @@ for a comprehensive guide on:</p>
<span class="c1"># Step 4: Load and run on remote device</span>
<span class="n">lib</span> <span class="o">=</span> <span class="n">remote</span><span class="o">.</span><span class="n">load_module</span><span class="p">(</span><span class="s2">"mlp_arm.so"</span><span class="p">)</span>
-<span class="n">vm</span> <span class="o">=</span> <a href="../../reference/api/python/runtime/vm.html#tvm.runtime.vm.VirtualMachine" title="tvm.runtime.vm.VirtualMachine" class="sphx-glr-backref-module-tvm-runtime-vm sphx-glr-backref-type-py-class"><span class="n">relax</span><span class="o">.</span><span class="n">VirtualMachine</span></a><span class="p">(</span><span class="n">lib</span><span class="p">,</span> <span class="n">remote</span><span class="o">.</span><span class="n">cpu</ [...]
+<span class="n">vm</span> <span class="o">=</span> <a href="../../reference/api/python/relax/relax.html#tvm.relax.VirtualMachine" title="tvm.relax.VirtualMachine" class="sphx-glr-backref-module-tvm-relax sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">relax</span><span class="o">.</span><span class="n">VirtualMachine</span></a><span class="p">(</span><span class="n">lib</span><span class="p">,</span> <span class="n">remote</span><span class="o">.</span><span cla [...]
<span class="c1"># ... prepare input and params, then run inference</span>
</pre></div>
</div>
diff --git a/docs/how_to/tutorials/import_model.html b/docs/how_to/tutorials/import_model.html
index 3d89cb7fb29..bf683b39989 100644
--- a/docs/how_to/tutorials/import_model.html
+++ b/docs/how_to/tutorials/import_model.html
@@ -530,13 +530,13 @@ shown below.</p>
<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="n">mod_compiled</span> <span class="o">=</span> <a href="../../reference/api/python/relax/relax.html#tvm.relax.get_pipeline" title="tvm.relax.get_pipeline" class="sphx-glr-backref-module-tvm-relax sphx-glr-backref-type-py-function"><span class="n">relax</span><span class="o">.</span><span class="n">get_pipeline</span></a><span class="p">(</span><span class="s2">"zero"</span><span cla [...]
<a href="../../reference/api/python/relax/relax.html#tvm.relax.VMExecutable" title="tvm.relax.VMExecutable" class="sphx-glr-backref-module-tvm-relax sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">exec_module</span></a> <span class="o">=</span> <a href="../../reference/api/python/driver.html#tvm.compile" title="tvm.compile" class="sphx-glr-backref-module-tvm sphx-glr-backref-type-py-function"><span class="n">tvm</span><span class="o">.</span><span class="n">comp [...]
<span class="n">dev</span> <span class="o">=</span> <span class="n">tvm</span><span class="o">.</span><span class="n">cpu</span><span class="p">()</span>
-<a href="../../reference/api/python/runtime/vm.html#tvm.runtime.vm.VirtualMachine" title="tvm.runtime.vm.VirtualMachine" class="sphx-glr-backref-module-tvm-runtime-vm sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">vm</span></a> <span class="o">=</span> <a href="../../reference/api/python/runtime/vm.html#tvm.runtime.vm.VirtualMachine" title="tvm.runtime.vm.VirtualMachine" class="sphx-glr-backref-module-tvm-runtime-vm sphx-glr-backref-type-py-class"><span class=" [...]
+<span class="n">vm</span> <span class="o">=</span> <a href="../../reference/api/python/relax/relax.html#tvm.relax.VirtualMachine" title="tvm.relax.VirtualMachine" class="sphx-glr-backref-module-tvm-relax sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">relax</span><span class="o">.</span><span class="n">VirtualMachine</span></a><span class="p">(</span><a href="../../reference/api/python/relax/relax.html#tvm.relax.VMExecutable" title="tvm.relax.VMExecutable" class [...]
<span class="c1"># Run inference</span>
<span class="n">input_data</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">rand</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">32</span><span class="p">,</span> <span class="mi">32</span><span class="p">)</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><s [...]
<span class="n">tvm_input</span> <span class="o">=</span> <span class="n">tvm</span><span class="o">.</span><span class="n">runtime</span><span class="o">.</span><span class="n">tensor</span><span class="p">(</span><span class="n">input_data</span><span class="p">,</span> <span class="n">dev</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">tvm_params</span></a> <span class="o">=</span> <span class="p">[</span><span class="n">tvm</span><span class="o">.</span><span class="n">runtime</span><span class="o">.</span><span class="n">tensor</span><span class="p">(</span><span class="n">p</span><span class="p">,</span> <span class="n"> [...]
-<span class="n">tvm_out</span> <span class="o">=</span> <a href="../../reference/api/python/runtime/vm.html#tvm.runtime.vm.VirtualMachine" title="tvm.runtime.vm.VirtualMachine" class="sphx-glr-backref-module-tvm-runtime-vm sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">vm</span></a><span class="p">[</span><span class="s2">"main"</span><span class="p">](</span><span class="n">tvm_input</span><span class="p">,</span> <span class="o">*</span><a href="htt [...]
+<span class="n">tvm_out</span> <span class="o">=</span> <span class="n">vm</span><span class="p">[</span><span class="s2">"main"</span><span class="p">](</span><span class="n">tvm_input</span><span class="p">,</span> <span class="o">*</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">tvm_params</span></a><span class="p">)</sp [...]
<span class="c1"># Compare with PyTorch</span>
<span class="k">with</span> <span class="n">torch</span><span class="o">.</span><span class="n">no_grad</span><span class="p">():</span>
diff --git a/docs/how_to/tutorials/optimize_llm.html b/docs/how_to/tutorials/optimize_llm.html
index 28404dde3d2..7cec203820f 100644
--- a/docs/how_to/tutorials/optimize_llm.html
+++ b/docs/how_to/tutorials/optimize_llm.html
@@ -728,7 +728,7 @@ is designed specifically for the LLMs.</p>
<span class="k">with</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">target</span></a><span class="p">:</span>
<a href="../../reference/api/python/relax/relax.html#tvm.relax.VMExecutable" title="tvm.relax.VMExecutable" class="sphx-glr-backref-module-tvm-relax sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ex</span></a> <span class="o">=</span> <a href="../../reference/api/python/driver.html#tvm.compile" title="tvm.compile" class="sphx-glr-backref-module-tvm sphx-glr-backref-type-py-function"><span class="n">tvm</span><span class="o">.</span><span class="n">compile</ [...]
- <a href="../../reference/api/python/runtime/vm.html#tvm.runtime.vm.VirtualMachine" title="tvm.runtime.vm.VirtualMachine" class="sphx-glr-backref-module-tvm-runtime-vm sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">vm</span></a> <span class="o">=</span> <a href="../../reference/api/python/runtime/vm.html#tvm.runtime.vm.VirtualMachine" title="tvm.runtime.vm.VirtualMachine" class="sphx-glr-backref-module-tvm-runtime-vm sphx-glr-backref-type-py-class"><span cla [...]
+ <span class="n">vm</span> <span class="o">=</span> <a href="../../reference/api/python/relax/relax.html#tvm.relax.VirtualMachine" title="tvm.relax.VirtualMachine" class="sphx-glr-backref-module-tvm-relax sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">relax</span><span class="o">.</span><span class="n">VirtualMachine</span></a><span class="p">(</span><a href="../../reference/api/python/relax/relax.html#tvm.relax.VMExecutable" title="tvm.relax.VMExecutable" c [...]
</pre></div>
</div>
</section>
@@ -826,7 +826,7 @@ the model documentation for the correct tokenization and prompt format.</p>
key and value tensors for the attention layer. Apache TVM provides a PagedKVCache to store the
key and value tensors. We create the PagedKVCache with the specified parameters.</p>
<div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="k">if</span> <span class="ow">not</span> <a href="https://docs.python.org/3/library/functions.html#bool" title="builtins.bool" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">IS_IN_CI</span></a><span class="p">:</span>
- <span class="n">kv_cache</span> <span class="o">=</span> <a href="../../reference/api/python/runtime/vm.html#tvm.runtime.vm.VirtualMachine" title="tvm.runtime.vm.VirtualMachine" class="sphx-glr-backref-module-tvm-runtime-vm sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">vm</span></a><span class="p">[</span><span class="s2">"create_tir_paged_kv_cache"</span><span class="p">](</span>
+ <span class="n">kv_cache</span> <span class="o">=</span> <span class="n">vm</span><span class="p">[</span><span class="s2">"create_tir_paged_kv_cache"</span><span class="p">](</span>
<a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class"><span class="n">Shape</span></a><span class="p">([</span><span class="mi">1</span><span class="p">]),</span> <span class="c1"># max_batch_size=1</span>
<a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class"><span class="n">Shape</span></a><span class="p">([</span><span class="mi">2048</span><span class="p">]),</span> <span class="c1"># max_total_seq_len=2048</span>
<a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class"><span class="n">Shape</span></a><span class="p">([</span><span class="mi">2048</span><span class="p">]),</span> <span class="c1"># prefill_chunk_size=2048</span>
@@ -843,7 +843,7 @@ compiled in the Relax IRModule to embed the tokens into the hidden states.</p>
<span class="k">def</span><span class="w"> </span><span class="nf">embed</span><span class="p">(</span><span class="n">tokens</span><span class="p">,</span> <span class="n">params</span><span class="p">):</span>
- <span class="n">_embed</span> <span class="o">=</span> <a href="../../reference/api/python/runtime/vm.html#tvm.runtime.vm.VirtualMachine" title="tvm.runtime.vm.VirtualMachine" class="sphx-glr-backref-module-tvm-runtime-vm sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">vm</span></a><span class="p">[</span><span class="s2">"embed"</span><span class="p">](</span><span class="n">tokens</span><span class="p">,</span> <span class="n">params</span><span [...]
+ <span class="n">_embed</span> <span class="o">=</span> <span class="n">vm</span><span class="p">[</span><span class="s2">"embed"</span><span class="p">](</span><span class="n">tokens</span><span class="p">,</span> <span class="n">params</span><span class="p">)</span>
<span class="c1"># Reshape hidden from [seq_len, hidden_size] to [1, seq_len, hidden_size]</span>
<span class="n">_embed</span> <span class="o">=</span> <span class="n">nd_view_func</span><span class="p">(</span><span class="n">_embed</span><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class"><span class="n">Shape</span></a><span class="p">([</span><span class="mi">1</span><span class="p">,</span> <span class="n">_embed</span><span class="o">.</span>< [...]
<span class="k">return</span> <span class="n">_embed</span>
@@ -866,7 +866,7 @@ and <cite>end_forward_func</cite> to end the forward pass.</p>
<span class="n">add_sequence_func</span><span class="p">(</span><span class="n">kv_cache</span><span class="p">,</span> <span class="n">seq_id</span><span class="p">)</span>
<span class="n">hidden_states</span> <span class="o">=</span> <span class="n">embed</span><span class="p">(</span><span class="n">tokens</span><span class="p">,</span> <span class="n">params</span><span class="p">)</span>
<span class="n">begin_forward_func</span><span class="p">(</span><span class="n">kv_cache</span><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class"><span class="n">Shape</span></a><span class="p">([</span><span class="n">seq_id</span><span class="p">]),</span> <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="s [...]
- <span class="n">logits</span><span class="p">,</span> <span class="n">kv_cache</span> <span class="o">=</span> <a href="../../reference/api/python/runtime/vm.html#tvm.runtime.vm.VirtualMachine" title="tvm.runtime.vm.VirtualMachine" class="sphx-glr-backref-module-tvm-runtime-vm sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">vm</span></a><span class="p">[</span><span class="s2">"prefill"</span><span class="p">](</span><span class="n">hidden_states</ [...]
+ <span class="n">logits</span><span class="p">,</span> <span class="n">kv_cache</span> <span class="o">=</span> <span class="n">vm</span><span class="p">[</span><span class="s2">"prefill"</span><span class="p">](</span><span class="n">hidden_states</span><span class="p">,</span> <span class="n">kv_cache</span><span class="p">,</span> <span class="n">params</span><span class="p">)</span>
<span class="n">end_forward_func</span><span class="p">(</span><span class="n">kv_cache</span><span class="p">)</span>
</pre></div>
</div>
@@ -898,7 +898,7 @@ IRModule to generate the token.</p>
<span class="n">tokens</span> <span class="o">=</span> <span class="n">tvm</span><span class="o">.</span><span class="n">runtime</span><span class="o">.</span><span class="n">tensor</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="n">last_token</span><span class="p">])</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="s2">"int32"< [...]
<span class="n">hidden_states</span> <span class="o">=</span> <span class="n">embed</span><span class="p">(</span><span class="n">tokens</span><span class="p">,</span> <span class="n">params</span><span class="p">)</span>
<span class="n">begin_forward_func</span><span class="p">(</span><span class="n">kv_cache</span><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class"><span class="n">Shape</span></a><span class="p">([</span><span class="n">seq_id</span><span class="p">]),</span> <a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" clas [...]
- <span class="n">logits</span><span class="p">,</span> <span class="n">kv_cache</span> <span class="o">=</span> <a href="../../reference/api/python/runtime/vm.html#tvm.runtime.vm.VirtualMachine" title="tvm.runtime.vm.VirtualMachine" class="sphx-glr-backref-module-tvm-runtime-vm sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">vm</span></a><span class="p">[</span><span class="s2">"decode"</span><span class="p">](</span><span class="n">hidden_state [...]
+ <span class="n">logits</span><span class="p">,</span> <span class="n">kv_cache</span> <span class="o">=</span> <span class="n">vm</span><span class="p">[</span><span class="s2">"decode"</span><span class="p">](</span><span class="n">hidden_states</span><span class="p">,</span> <span class="n">kv_cache</span><span class="p">,</span> <span class="n">params</span><span class="p">)</span>
<span class="n">end_forward_func</span><span class="p">(</span><span class="n">kv_cache</span><span class="p">)</span>
<span class="n">last_token</span> <span class="o">=</span> <span class="n">sample_token</span><span class="p">(</span><span class="n">logits</span><span class="p">)</span>
diff --git a/docs/how_to/tutorials/sg_execution_times.html b/docs/how_to/tutorials/sg_execution_times.html
index c8b1a869abc..bfa9fd887aa 100644
--- a/docs/how_to/tutorials/sg_execution_times.html
+++ b/docs/how_to/tutorials/sg_execution_times.html
@@ -297,7 +297,7 @@
<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>00:15.462</strong> total execution time for 8 files <strong>from how_to/tutorials</strong>:</p>
+<p><strong>00:19.087</strong> total execution time for 8 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" />
@@ -319,27 +319,27 @@ $(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>00:10.264</p></td>
+<td><p>00:10.390</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="import_model.html#sphx-glr-how-to-tutorials-import-model-py"><span class="std std-ref">Importing Models from ML Frameworks</span></a> (<code class="docutils literal notranslate"><span class="pre">import_model.py</span></code>)</p></td>
-<td><p>00:03.363</p></td>
+<td><p>00:06.620</p></td>
<td><p>0.0</p></td>
</tr>
-<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>00:00.749</p></td>
+<tr class="row-even"><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>00:00.797</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>00:00.560</p></td>
+<tr class="row-odd"><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>00:00.757</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>00:00.479</p></td>
+<td><p>00:00.478</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="bring_your_own_codegen.html#sphx-glr-how-to-tutorials-bring-your-own-codegen-py"><span class="std std-ref">Bring Your Own Codegen: NPU Backend Example</span></a> (<code class="docutils literal notranslate"><span class="pre">bring_your_own_codegen.py</span></code>)</p></td>
-<td><p>00:00.040</p></td>
+<td><p>00:00.039</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="mix_python_and_tvm_with_pymodule.html#sphx-glr-how-to-tutorials-mix-python-and-tvm-with-pymodule-py"><span class="std std-ref">Mix Python/PyTorch with TVM Using BasePyModule</span></a> (<code class="docutils literal notranslate"><span class="pre">mix_python_and_tvm_with_pymodule.py</span></code>)</p></td>
diff --git a/docs/objects.inv b/docs/objects.inv
index 8cedefd68df..ed115709038 100644
Binary files a/docs/objects.inv and b/docs/objects.inv differ
diff --git a/docs/reference/api/doxygen/ir_2transform_8h.html b/docs/reference/api/doxygen/ir_2transform_8h.html
index ee74711f4c7..6cb7a079587 100644
--- a/docs/reference/api/doxygen/ir_2transform_8h.html
+++ b/docs/reference/api/doxygen/ir_2transform_8h.html
@@ -144,8 +144,6 @@ Macros</h2></td></tr>
Functions</h2></td></tr>
<tr class="memitem:ac187da646052618b2eec54c2c6a1845b"><td class="memItemLeft" align="right" valign="top">Pass </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacetvm_1_1transform.html#ac187da646052618b2eec54c2c6a1845b">tvm::transform::CreateModulePass</a> (std::function< IRModule(IRModule, PassContext)> pass_func, int opt_level, ffi::String name, ffi::Array< ffi::String > required, bool traceable=false)</td></tr>
<tr class="separator:ac187da646052618b2eec54c2c6a1845b"><td class="memSeparator" colspan="2"> </td></tr>
-<tr class="memitem:a7bda7e819a6e4e37bce7330644875ac5"><td class="memItemLeft" align="right" valign="top">Pass </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacetvm_1_1transform.html#a7bda7e819a6e4e37bce7330644875ac5">tvm::transform::ApplyPassToFunction</a> (Pass pass, ffi::String func_name_regex, bool error_if_no_function_matches_regex=false)</td></tr>
-<tr class="separator:a7bda7e819a6e4e37bce7330644875ac5"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a324e27bc383f41e3bc2bc1438ec2db87"><td class="memItemLeft" align="right" valign="top">Pass </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacetvm_1_1transform.html#a324e27bc383f41e3bc2bc1438ec2db87">tvm::transform::PrintIR</a> (ffi::String header="")</td></tr>
<tr class="memdesc:a324e27bc383f41e3bc2bc1438ec2db87"><td class="mdescLeft"> </td><td class="mdescRight">A special trace pass that prints the header and IR to LOG(INFO). <a href="namespacetvm_1_1transform.html#a324e27bc383f41e3bc2bc1438ec2db87">More...</a><br /></td></tr>
<tr class="separator:a324e27bc383f41e3bc2bc1438ec2db87"><td class="memSeparator" colspan="2"> </td></tr>
diff --git a/docs/reference/api/doxygen/ir_2transform_8h_source.html b/docs/reference/api/doxygen/ir_2transform_8h_source.html
index a80a0fee375..af03976fdb1 100644
--- a/docs/reference/api/doxygen/ir_2transform_8h_source.html
+++ b/docs/reference/api/doxygen/ir_2transform_8h_source.html
@@ -347,37 +347,12 @@ $(function() {
<div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  <span class="keywordtype">int</span> opt_level, ffi::String name, ffi::Array<ffi::String> required,</div>
<div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  <span class="keywordtype">bool</span> traceable = <span class="keyword">false</span>);</div>
<div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  </div>
-<div class="line"><a name="l00532"></a><span class="lineno"> 532</span> <span class="comment">/*</span></div>
-<div class="line"><a name="l00533"></a><span class="lineno"> 533</span> <span class="comment"> * \brief Utility to apply a pass to specific functions in an IRModule</span></div>
-<div class="line"><a name="l00534"></a><span class="lineno"> 534</span> <span class="comment"> *</span></div>
-<div class="line"><a name="l00535"></a><span class="lineno"> 535</span> <span class="comment"> * TVM uses IRModule to IRModule transformations at all stages of</span></div>
-<div class="line"><a name="l00536"></a><span class="lineno"> 536</span> <span class="comment"> * lowering. These transformations may be useful when hand-writing an</span></div>
-<div class="line"><a name="l00537"></a><span class="lineno"> 537</span> <span class="comment"> * optimized model, or to perform optimizations on specific kernels</span></div>
-<div class="line"><a name="l00538"></a><span class="lineno"> 538</span> <span class="comment"> * within an IRModule. This utility allows a pass to be applied to a</span></div>
-<div class="line"><a name="l00539"></a><span class="lineno"> 539</span> <span class="comment"> * specified function, without altering other functions in the module.</span></div>
-<div class="line"><a name="l00540"></a><span class="lineno"> 540</span> <span class="comment"> *</span></div>
-<div class="line"><a name="l00541"></a><span class="lineno"> 541</span> <span class="comment"> * \param pass The IRModule to IRModule pass to be applied.</span></div>
-<div class="line"><a name="l00542"></a><span class="lineno"> 542</span> <span class="comment"> *</span></div>
-<div class="line"><a name="l00543"></a><span class="lineno"> 543</span> <span class="comment"> * \param func_name_regex A regex used to select the functions to be</span></div>
-<div class="line"><a name="l00544"></a><span class="lineno"> 544</span> <span class="comment"> * updated. The pass will be applied to all functions whose name</span></div>
-<div class="line"><a name="l00545"></a><span class="lineno"> 545</span> <span class="comment"> * matches the regex.</span></div>
-<div class="line"><a name="l00546"></a><span class="lineno"> 546</span> <span class="comment"> *</span></div>
-<div class="line"><a name="l00547"></a><span class="lineno"> 547</span> <span class="comment"> * \param error_if_no_function_matches_regex Specifies the behavior if</span></div>
-<div class="line"><a name="l00548"></a><span class="lineno"> 548</span> <span class="comment"> * an IRModule does not contain any function matching the provided</span></div>
-<div class="line"><a name="l00549"></a><span class="lineno"> 549</span> <span class="comment"> * regex. If true, an error will be raised. If false (default),</span></div>
-<div class="line"><a name="l00550"></a><span class="lineno"> 550</span> <span class="comment"> * the IRModule will be returned unmodified.</span></div>
-<div class="line"><a name="l00551"></a><span class="lineno"> 551</span> <span class="comment"> *</span></div>
-<div class="line"><a name="l00552"></a><span class="lineno"> 552</span> <span class="comment"> * \return The modified IRModule to IRModule pass.</span></div>
-<div class="line"><a name="l00553"></a><span class="lineno"> 553</span> <span class="comment"> */</span></div>
-<div class="line"><a name="l00554"></a><span class="lineno"><a class="line" href="namespacetvm_1_1transform.html#a7bda7e819a6e4e37bce7330644875ac5"> 554</a></span> TVM_DLL <a class="code" href="classtvm_1_1transform_1_1Pass.html">Pass</a> <a class="code" href="namespacetvm_1_1transform.html#a7bda7e819a6e4e37bce7330644875ac5">ApplyPassToFunction</a>(<a class="code" href="classtvm_1_1transform_1_1Pass.html">Pass</a> pass, ffi::String func_name_regex,</div>
-<div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  <span class="keywordtype">bool</span> error_if_no_function_matches_regex = <span class="keyword">false</span>);</div>
-<div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  </div>
-<div class="line"><a name="l00562"></a><span class="lineno"><a class="line" href="namespacetvm_1_1transform.html#a324e27bc383f41e3bc2bc1438ec2db87"> 562</a></span> TVM_DLL <a class="code" href="classtvm_1_1transform_1_1Pass.html">Pass</a> <a class="code" href="namespacetvm_1_1transform.html#a324e27bc383f41e3bc2bc1438ec2db87">PrintIR</a>(ffi::String header = <span class="stringliteral">""</span>);</div>
-<div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  </div>
-<div class="line"><a name="l00564"></a><span class="lineno"> 564</span> } <span class="comment">// namespace transform</span></div>
-<div class="line"><a name="l00565"></a><span class="lineno"> 565</span> } <span class="comment">// namespace tvm</span></div>
-<div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  </div>
-<div class="line"><a name="l00567"></a><span class="lineno"> 567</span> <span class="preprocessor">#endif </span><span class="comment">// TVM_IR_TRANSFORM_H_</span></div>
+<div class="line"><a name="l00537"></a><span class="lineno"><a class="line" href="namespacetvm_1_1transform.html#a324e27bc383f41e3bc2bc1438ec2db87"> 537</a></span> TVM_DLL <a class="code" href="classtvm_1_1transform_1_1Pass.html">Pass</a> <a class="code" href="namespacetvm_1_1transform.html#a324e27bc383f41e3bc2bc1438ec2db87">PrintIR</a>(ffi::String header = <span class="stringliteral">""</span>);</div>
+<div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  </div>
+<div class="line"><a name="l00539"></a><span class="lineno"> 539</span> } <span class="comment">// namespace transform</span></div>
+<div class="line"><a name="l00540"></a><span class="lineno"> 540</span> } <span class="comment">// namespace tvm</span></div>
+<div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  </div>
+<div class="line"><a name="l00542"></a><span class="lineno"> 542</span> <span class="preprocessor">#endif </span><span class="comment">// TVM_IR_TRANSFORM_H_</span></div>
<div class="ttc" id="aclasstvm_1_1IRModule_html"><div class="ttname"><a href="classtvm_1_1IRModule.html">tvm::IRModule</a></div><div class="ttdoc">Managed reference class to IRModuleNode.</div><div class="ttdef"><b>Definition:</b> module.h:258</div></div>
<div class="ttc" id="aclasstvm_1_1With_html"><div class="ttname"><a href="classtvm_1_1With.html">tvm::With</a></div><div class="ttdoc">RAII wrapper function to enter and exit a context object similar to python's with syntax.</div><div class="ttdef"><b>Definition:</b> with_context.h:59</div></div>
<div class="ttc" id="aclasstvm_1_1transform_1_1PassContextNode_html"><div class="ttname"><a href="classtvm_1_1transform_1_1PassContextNode.html">tvm::transform::PassContextNode</a></div><div class="ttdoc">PassContextNode contains the information that a pass can rely on, such as analysis results.</div><div class="ttdef"><b>Definition:</b> transform.h:79</div></div>
@@ -449,7 +424,6 @@ $(function() {
<div class="ttc" id="anamespacetvm_1_1script_1_1ir__builder_1_1ir_html_a8dd2baa6a2608b6ea12f5455971dacc5"><div class="ttname"><a href="namespacetvm_1_1script_1_1ir__builder_1_1ir.html#a8dd2baa6a2608b6ea12f5455971dacc5">tvm::script::ir_builder::ir::IRModule</a></div><div class="ttdeci">IRModuleFrame IRModule()</div><div class="ttdoc">The IRModule declaration statement.</div><div class="ttdef"><b>Definition:</b> module.h:251</div></div>
<div class="ttc" id="anamespacetvm_1_1topi_html_aaa95d3ad68932ab206efbe0a326db6a2"><div class="ttname"><a href="namespacetvm_1_1topi.html#aaa95d3ad68932ab206efbe0a326db6a2">tvm::topi::mod</a></div><div class="ttdeci">tvm::PrimExpr mod(const tvm::PrimExpr &a, const tvm::PrimExpr &b)</div><div class="ttdef"><b>Definition:</b> broadcast.h:308</div></div>
<div class="ttc" id="anamespacetvm_1_1transform_html_a324e27bc383f41e3bc2bc1438ec2db87"><div class="ttname"><a href="namespacetvm_1_1transform.html#a324e27bc383f41e3bc2bc1438ec2db87">tvm::transform::PrintIR</a></div><div class="ttdeci">Pass PrintIR(ffi::String header="")</div><div class="ttdoc">A special trace pass that prints the header and IR to LOG(INFO).</div></div>
-<div class="ttc" id="anamespacetvm_1_1transform_html_a7bda7e819a6e4e37bce7330644875ac5"><div class="ttname"><a href="namespacetvm_1_1transform.html#a7bda7e819a6e4e37bce7330644875ac5">tvm::transform::ApplyPassToFunction</a></div><div class="ttdeci">Pass ApplyPassToFunction(Pass pass, ffi::String func_name_regex, bool error_if_no_function_matches_regex=false)</div></div>
<div class="ttc" id="anamespacetvm_1_1transform_html_ac187da646052618b2eec54c2c6a1845b"><div class="ttname"><a href="namespacetvm_1_1transform.html#ac187da646052618b2eec54c2c6a1845b">tvm::transform::CreateModulePass</a></div><div class="ttdeci">Pass CreateModulePass(std::function< IRModule(IRModule, PassContext)> pass_func, int opt_level, ffi::String name, ffi::Array< ffi::String > required, bool traceable=false)</div></div>
<div class="ttc" id="anamespacetvm_html"><div class="ttname"><a href="namespacetvm.html">tvm</a></div><div class="ttdoc">An object that builds and maintains block scope and StmtSref mapping for Dependence analysis.</div><div class="ttdef"><b>Definition:</b> analyzer.h:37</div></div>
<div class="ttc" id="awith__context_8h_html"><div class="ttname"><a href="with__context_8h.html">with_context.h</a></div><div class="ttdoc">RAII wrapper function to enter and exit a context object similar to python's with syntax.</div></div>
diff --git a/docs/reference/api/doxygen/namespacemembers.html b/docs/reference/api/doxygen/namespacemembers.html
index 5ac314b3d81..cfdf4da820b 100644
--- a/docs/reference/api/doxygen/namespacemembers.html
+++ b/docs/reference/api/doxygen/namespacemembers.html
@@ -135,7 +135,7 @@ $(function() {
: <a class="el" href="namespacetvm_1_1relax.html#ab34200346d3dab26bb6ad581e6e01717">tvm::relax</a>
</li>
<li>AnalyzeVar2Value()
-: <a class="el" href="namespacetvm_1_1relax.html#a722f1672eb1feb9a3be7b7683ccbb290">tvm::relax</a>
+: <a class="el" href="namespacetvm_1_1relax.html#a05c9ea2b6e6f12ad0d40a1f02af04a1b">tvm::relax</a>
</li>
<li>AnnotateCustomMemoryScope()
: <a class="el" href="namespacetvm_1_1relax_1_1backend_1_1adreno_1_1transform.html#a40f2099dfb63bafbdedf004cc1533e57">tvm::relax::backend::adreno::transform</a>
@@ -168,9 +168,6 @@ $(function() {
<li>anylist_setitem_call_packed()
: <a class="el" href="namespacetvm_1_1tirx_1_1builtin.html#ac7e11bdd2787987560a224479ded752c">tvm::tirx::builtin</a>
</li>
-<li>ApplyPassToFunction()
-: <a class="el" href="namespacetvm_1_1transform.html#a7bda7e819a6e4e37bce7330644875ac5">tvm::transform</a>
-</li>
<li>arange()
: <a class="el" href="namespacetvm_1_1topi.html#a1db52a53bfb38341ef89b375562731c6">tvm::topi</a>
</li>
diff --git a/docs/reference/api/doxygen/namespacemembers_e.html b/docs/reference/api/doxygen/namespacemembers_e.html
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: <a class="el" href="namespacetvm_1_1relax.html#aff256c278f6c4493843a3b8fe5703092">tvm::relax</a>
</li>
<li>equal()
-: <a class="el" href="namespacetvm_1_1topi.html#a0e5aecf572e9eea859442ef181df0abc">tvm::topi</a>
+: <a class="el" href="namespacetvm_1_1topi.html#a23301af4bee39c516369b20089f93da7">tvm::topi</a>
</li>
<li>EraseToWellDefined()
: <a class="el" href="namespacetvm_1_1relax.html#a1ea0e6b474d9062b4f8101c483fff41c">tvm::relax</a>
diff --git a/docs/reference/api/doxygen/namespacemembers_func.html b/docs/reference/api/doxygen/namespacemembers_func.html
index a7958d99346..cf2e38306ad 100644
--- a/docs/reference/api/doxygen/namespacemembers_func.html
+++ b/docs/reference/api/doxygen/namespacemembers_func.html
@@ -162,15 +162,12 @@ $(function() {
<li>anylist_setitem_call_packed()
: <a class="el" href="namespacetvm_1_1tirx_1_1builtin.html#ac7e11bdd2787987560a224479ded752c">tvm::tirx::builtin</a>
</li>
-<li>ApplyPassToFunction()
-: <a class="el" href="namespacetvm_1_1transform.html#a7bda7e819a6e4e37bce7330644875ac5">tvm::transform</a>
-</li>
<li>arange()
: <a class="el" href="namespacetvm_1_1topi.html#a1db52a53bfb38341ef89b375562731c6">tvm::topi</a>
</li>
<li>Arg()
: <a class="el" href="namespacetvm_1_1script_1_1ir__builder_1_1relax.html#a00f1842eea69121a84e402d153ec68d4">tvm::script::ir_builder::relax</a>
-, <a class="el" href="namespacetvm_1_1script_1_1ir__builder_1_1tirx.html#ab3f4f5cde4dd82e196f2f57d9300144b">tvm::script::ir_builder::tirx</a>
+, <a class="el" href="namespacetvm_1_1script_1_1ir__builder_1_1tirx.html#ac307c2206e6fcacb36fe08289e5b5a31">tvm::script::ir_builder::tirx</a>
</li>
<li>argmax()
: <a class="el" href="namespacetvm_1_1topi.html#ae1fa0d07c7f3b78591a92735ee4143c7">tvm::topi</a>
diff --git a/docs/reference/api/doxygen/namespacetvm_1_1transform.html b/docs/reference/api/doxygen/namespacetvm_1_1transform.html
index ced63bc80c0..578235f2fa4 100644
--- a/docs/reference/api/doxygen/namespacetvm_1_1transform.html
+++ b/docs/reference/api/doxygen/namespacetvm_1_1transform.html
@@ -107,47 +107,11 @@ Functions</h2></td></tr>
<tr class="separator:ae5131cd5b8c76763d0372bcd9d35e433"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ac187da646052618b2eec54c2c6a1845b"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classtvm_1_1transform_1_1Pass.html">Pass</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacetvm_1_1transform.html#ac187da646052618b2eec54c2c6a1845b">CreateModulePass</a> (std::function< <a class="el" href="classtvm_1_1IRModule.html">IRModule</a>(<a class="el" href="classtvm_1_1IRModule.html">IRModule</a>, <a class="el" href="clas [...]
<tr class="separator:ac187da646052618b2eec54c2c6a1845b"><td class="memSeparator" colspan="2"> </td></tr>
-<tr class="memitem:a7bda7e819a6e4e37bce7330644875ac5"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classtvm_1_1transform_1_1Pass.html">Pass</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacetvm_1_1transform.html#a7bda7e819a6e4e37bce7330644875ac5">ApplyPassToFunction</a> (<a class="el" href="classtvm_1_1transform_1_1Pass.html">Pass</a> pass, ffi::String func_name_regex, bool error_if_no_function_matches_regex=false)</td></tr>
-<tr class="separator:a7bda7e819a6e4e37bce7330644875ac5"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a324e27bc383f41e3bc2bc1438ec2db87"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classtvm_1_1transform_1_1Pass.html">Pass</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacetvm_1_1transform.html#a324e27bc383f41e3bc2bc1438ec2db87">PrintIR</a> (ffi::String header="")</td></tr>
<tr class="memdesc:a324e27bc383f41e3bc2bc1438ec2db87"><td class="mdescLeft"> </td><td class="mdescRight">A special trace pass that prints the header and IR to LOG(INFO). <a href="namespacetvm_1_1transform.html#a324e27bc383f41e3bc2bc1438ec2db87">More...</a><br /></td></tr>
<tr class="separator:a324e27bc383f41e3bc2bc1438ec2db87"><td class="memSeparator" colspan="2"> </td></tr>
</table>
<h2 class="groupheader">Function Documentation</h2>
-<a id="a7bda7e819a6e4e37bce7330644875ac5"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a7bda7e819a6e4e37bce7330644875ac5">◆ </a></span>ApplyPassToFunction()</h2>
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-<div class="memproto">
- <table class="memname">
- <tr>
- <td class="memname"><a class="el" href="classtvm_1_1transform_1_1Pass.html">Pass</a> tvm::transform::ApplyPassToFunction </td>
- <td>(</td>
- <td class="paramtype"><a class="el" href="classtvm_1_1transform_1_1Pass.html">Pass</a> </td>
- <td class="paramname"><em>pass</em>, </td>
- </tr>
- <tr>
- <td class="paramkey"></td>
- <td></td>
- <td class="paramtype">ffi::String </td>
- <td class="paramname"><em>func_name_regex</em>, </td>
- </tr>
- <tr>
- <td class="paramkey"></td>
- <td></td>
- <td class="paramtype">bool </td>
- <td class="paramname"><em>error_if_no_function_matches_regex</em> = <code>false</code> </td>
- </tr>
- <tr>
- <td></td>
- <td>)</td>
- <td></td><td></td>
- </tr>
- </table>
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-
-</div>
-</div>
<a id="ac187da646052618b2eec54c2c6a1845b"></a>
<h2 class="memtitle"><span class="permalink"><a href="#ac187da646052618b2eec54c2c6a1845b">◆ </a></span>CreateModulePass()</h2>
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