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tqchen pushed a commit to branch asf-site
in repository https://gitbox.apache.org/repos/asf/tvm-site.git
The following commit(s) were added to refs/heads/asf-site by this push:
new 6bf5456a852 deploying docs
(apache/tvm@fa66213249a361656fea055d80291cf0e6b2ff1a)
6bf5456a852 is described below
commit 6bf5456a8526cc12ae3a790bcd68e974d53d7a9c
Author: tvm-bot <[email protected]>
AuthorDate: Wed May 27 04:13:14 2026 +0000
deploying docs (apache/tvm@fa66213249a361656fea055d80291cf0e6b2ff1a)
---
.../import_model.zip | Bin 35138 -> 35138 bytes
.../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
.../relax/tutorials/sg_execution_times.rst.txt | 4 +--
.../tensor_ir/tutorials/sg_execution_times.rst.txt | 6 ++---
.../tensor_ir/tutorials/tir_creation.rst.txt | 20 +++++++--------
.../tensor_ir/tutorials/tir_transformation.rst.txt | 6 ++---
.../get_started/tutorials/ir_module.rst.txt | 8 +++---
.../get_started/tutorials/quick_start.rst.txt | 4 +--
.../tutorials/sg_execution_times.rst.txt | 4 +--
.../tutorials/cross_compilation_and_rpc.rst.txt | 6 ++---
.../how_to/tutorials/customize_opt.rst.txt | 4 +--
.../how_to/tutorials/e2e_opt_model.rst.txt | 2 +-
.../how_to/tutorials/sg_execution_times.rst.txt | 18 ++++++-------
docs/_sources/sg_execution_times.rst.txt | 28 ++++++++++-----------
docs/contribute/error_handling.html | 2 +-
.../relax/tutorials/sg_execution_times.html | 4 +--
.../tensor_ir/tutorials/sg_execution_times.html | 6 ++---
.../tensor_ir/tutorials/tir_creation.html | 20 +++++++--------
.../tensor_ir/tutorials/tir_transformation.html | 6 ++---
docs/get_started/tutorials/ir_module.html | 8 +++---
docs/get_started/tutorials/quick_start.html | 4 +--
docs/get_started/tutorials/sg_execution_times.html | 4 +--
.../tutorials/cross_compilation_and_rpc.html | 6 ++---
docs/how_to/tutorials/customize_opt.html | 4 +--
docs/how_to/tutorials/e2e_opt_model.html | 4 +--
docs/how_to/tutorials/sg_execution_times.html | 18 ++++++-------
docs/objects.inv | Bin 23841 -> 23837 bytes
docs/reference/api/python/error.html | 2 +-
docs/reference/api/python/relax/op.html | 2 +-
docs/searchindex.js | 2 +-
docs/sg_execution_times.html | 28 ++++++++++-----------
45 files changed, 115 insertions(+), 115 deletions(-)
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diff --git a/docs/_downloads/83e85f38cf16f1d926d06615fd54095c/optimize_llm.zip
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diff --git
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diff --git a/docs/_downloads/bb7db6678496193ed0c55d3b95fa6778/quick_start.zip
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diff --git a/docs/_downloads/be26483bb70b8468499a01c55e8e866c/tir_creation.zip
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diff --git
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index bae74ed324d..988b695cd6e 100644
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diff --git a/docs/_downloads/f69433a4a80715725df90d1386679956/customize_opt.zip
b/docs/_downloads/f69433a4a80715725df90d1386679956/customize_opt.zip
index a5aa7b385a8..d618df9b188 100644
Binary files
a/docs/_downloads/f69433a4a80715725df90d1386679956/customize_opt.zip and
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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 aa4d933b82d..89f1c6ad2d4 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
@@ -33,8 +33,8 @@ Computation times
- Time
- Mem (MB)
* - :ref:`sphx_glr_deep_dive_relax_tutorials_relax_creation.py`
(``relax_creation.py``)
- - 00:00.158
+ - 00:00.156
- 0.0
* - :ref:`sphx_glr_deep_dive_relax_tutorials_relax_transformation.py`
(``relax_transformation.py``)
- - 00:00.055
+ - 00:00.056
- 0.0
diff --git
a/docs/_sources/deep_dive/tensor_ir/tutorials/sg_execution_times.rst.txt
b/docs/_sources/deep_dive/tensor_ir/tutorials/sg_execution_times.rst.txt
index 57f651769cf..a160baa8d1d 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
=================
-**00:00.706** total execution time for 4 files **from
deep_dive/tensor_ir/tutorials**:
+**00:00.698** 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``)
- - 00:00.297
+ - 00:00.295
- 0.0
* - :ref:`sphx_glr_deep_dive_tensor_ir_tutorials_tir_creation.py`
(``tir_creation.py``)
- - 00:00.283
+ - 00:00.276
- 0.0
* - :ref:`sphx_glr_deep_dive_tensor_ir_tutorials_dlight_gpu_scheduling.py`
(``dlight_gpu_scheduling.py``)
- 00:00.119
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 355ac3ec3e5..e4a9b0afb7a 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
- [[1.3412981 1.1255358 1.3765976 0.91166943]
- [1.2435323 1.2047567 1.3321669 1.1210454 ]
- [1.4767644 1.4728222 1.5262184 1.0847116 ]
- [0.47629577 0.43329966 0.60402477 0.56534576]]
- [[27.939613 26.320127 31.54509 ... 27.954042 29.744682 26.147005]
- [30.027557 30.34096 32.346 ... 31.134594 33.02766 28.399738]
- [30.5327 29.899715 35.410633 ... 33.788185 32.914154 26.83406 ]
+ [[0.78603977 1.2567391 0.64357495 0.99883723]
+ [1.0064801 1.7945733 1.2644527 1.3792714 ]
+ [1.1234629 1.777808 1.5243497 1.6113169 ]
+ [0.69878477 1.1055864 0.84191155 1.0592844 ]]
+ [[34.463272 32.777714 32.68431 ... 31.918226 31.669792 34.507008]
+ [36.212646 33.864304 33.949078 ... 34.011288 33.478607 36.48338 ]
+ [33.786716 31.991299 33.711887 ... 29.125334 31.106115 34.14661 ]
...
- [30.400564 28.598064 34.298695 ... 31.398256 34.677372 28.638638]
- [32.166836 31.753153 34.694534 ... 33.028286 33.488533 29.58874 ]
- [25.649837 24.617033 29.744535 ... 26.74507 29.209084 22.739407]]
+ [33.60346 33.415062 32.436523 ... 28.578032 32.049442 35.476418]
+ [34.35555 34.69909 31.732517 ... 30.391525 31.448755 35.216587]
+ [33.159527 32.475445 30.619127 ... 29.126276 30.62171 32.525394]]
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 d219da99599..2b9912f35ba 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)
- 2.6540 2.6540 2.6540 2.6540 0.0000
+ 2.6947 2.6947 2.6947 2.6947 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)
- 0.8604 0.8604 0.8604 0.8604 0.0000
+ 0.8609 0.8609 0.8609 0.8609 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)
- 0.3479 0.3479 0.3479 0.3479 0.0000
+ 0.3551 0.3551 0.3551 0.3551 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 68a9b5d0664..cb0b71c2293 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
- [[-0.36897483 0.3276703 0.11581295 0.13950296 -0.01701315 -0.07630068
- 0.04085338 -0.19328049 0.03903951 0.0051354 ]]
+ [[-0.19535285 0.1414249 0.00930803 0.0105462 0.00412617 -0.26675886
+ -0.15852502 -0.02989877 0.10832487 0.19349828]]
@@ -763,8 +763,8 @@ Now we can compile the IRModule on GPU, the similar way as
we did on CPU.
.. code-block:: none
- [[-0.36897483 0.32767037 0.11581291 0.13950287 -0.01701318 -0.07630067
- 0.04085342 -0.19328043 0.03903947 0.00513544]]
+ [[-0.19535276 0.1414249 0.00930802 0.0105462 0.00412618 -0.26675886
+ -0.15852505 -0.02989877 0.10832478 0.19349828]]
diff --git a/docs/_sources/get_started/tutorials/quick_start.rst.txt
b/docs/_sources/get_started/tutorials/quick_start.rst.txt
index 1d6d7a5bc28..7ab58cff709 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
- [[24582.81 25453.785 26265.879 24680.71 26398.172 23673.7 27314.762
- 23702.838 25785.197 27252.143]]
+ [[25759.164 24471.566 25294.402 26856.258 25031.69 24587.994 26635.371
+ 25074.6 25228.621 26572.83 ]]
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 07d7344264f..6715d6789a8 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
=================
-**00:05.497** total execution time for 2 files **from get_started/tutorials**:
+**00:05.796** total execution time for 2 files **from get_started/tutorials**:
.. container::
@@ -33,7 +33,7 @@ Computation times
- Time
- Mem (MB)
* - :ref:`sphx_glr_get_started_tutorials_ir_module.py` (``ir_module.py``)
- - 00:05.343
+ - 00:05.642
- 0.0
* - :ref:`sphx_glr_get_started_tutorials_quick_start.py`
(``quick_start.py``)
- 00:00.154
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 a4dc61c94e7..ac634625919 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
@@ -267,7 +267,7 @@ device and returns the measured cost. Network overhead is
excluded.
.. code-block:: none
- 9.2e-08 secs/op
+ 9.1e-08 secs/op
@@ -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/tmpauju4fbk/model_deployed.so
- Saved parameters to: /tmp/tmpauju4fbk/model_params.npz
+ Exported library to: /tmp/tmpc9ucoaqp/model_deployed.so
+ Saved parameters to: /tmp/tmpc9ucoaqp/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 9ff0a377710..457dadbbec5 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
- [[24280.975 23624.158 24535.086 24792.398 24952.55 25924.236 25810.256
- 25533.91 25456.043 25152.748]]
+ [[26020.293 25864.379 24383.64 25637.75 25363.629 24262.03 25965.02
+ 25457.385 24599.79 24444.465]]
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 eeda27e75d7..20e8f00a010 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] 69%|██████▉ |
30.9M/44.7M [00:00<00:00, 323MB/s] 100%|██████████| 44.7M/44.7M
[00:00<00:00, 332MB/s]
+ 0%| | 0.00/44.7M [00:00<?, ?B/s] 53%|█████▎ |
23.5M/44.7M [00:00<00:00, 246MB/s] 100%|██████████| 44.7M/44.7M
[00:00<00:00, 281MB/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 dbefb7e19c2..79551366ef6 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
=================
-**00:15.262** total execution time for 8 files **from how_to/tutorials**:
+**00:15.481** 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``)
- - 00:10.180
+ - 00:10.206
- 0.0
* - :ref:`sphx_glr_how_to_tutorials_import_model.py` (``import_model.py``)
- - 00:03.305
- - 0.0
- * - :ref:`sphx_glr_how_to_tutorials_customize_opt.py` (``customize_opt.py``)
- - 00:00.676
+ - 00:03.332
- 0.0
* - :ref:`sphx_glr_how_to_tutorials_e2e_opt_model.py` (``e2e_opt_model.py``)
- - 00:00.587
+ - 00:00.753
+ - 0.0
+ * - :ref:`sphx_glr_how_to_tutorials_customize_opt.py` (``customize_opt.py``)
+ - 00:00.673
- 0.0
* - :ref:`sphx_glr_how_to_tutorials_cross_compilation_and_rpc.py`
(``cross_compilation_and_rpc.py``)
- - 00:00.470
+ - 00:00.471
- 0.0
* - :ref:`sphx_glr_how_to_tutorials_bring_your_own_codegen.py`
(``bring_your_own_codegen.py``)
- - 00:00.038
+ - 00:00.040
- 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 977bce3c96c..c4938f32a1d 100644
--- a/docs/_sources/sg_execution_times.rst.txt
+++ b/docs/_sources/sg_execution_times.rst.txt
@@ -6,7 +6,7 @@
Computation times
=================
-**00:21.677** total execution time for 16 files **from all galleries**:
+**00:22.188** total execution time for 16 files **from all galleries**:
.. container::
@@ -33,31 +33,31 @@ Computation times
- Time
- Mem (MB)
* - :ref:`sphx_glr_how_to_tutorials_optimize_llm.py`
(``../how_to/tutorials/optimize_llm.py``)
- - 00:10.180
+ - 00:10.206
- 0.0
* - :ref:`sphx_glr_get_started_tutorials_ir_module.py`
(``../get_started/tutorials/ir_module.py``)
- - 00:05.343
+ - 00:05.642
- 0.0
* - :ref:`sphx_glr_how_to_tutorials_import_model.py`
(``../how_to/tutorials/import_model.py``)
- - 00:03.305
- - 0.0
- * - :ref:`sphx_glr_how_to_tutorials_customize_opt.py`
(``../how_to/tutorials/customize_opt.py``)
- - 00:00.676
+ - 00:03.332
- 0.0
* - :ref:`sphx_glr_how_to_tutorials_e2e_opt_model.py`
(``../how_to/tutorials/e2e_opt_model.py``)
- - 00:00.587
+ - 00:00.753
+ - 0.0
+ * - :ref:`sphx_glr_how_to_tutorials_customize_opt.py`
(``../how_to/tutorials/customize_opt.py``)
+ - 00:00.673
- 0.0
* - :ref:`sphx_glr_how_to_tutorials_cross_compilation_and_rpc.py`
(``../how_to/tutorials/cross_compilation_and_rpc.py``)
- - 00:00.470
+ - 00:00.471
- 0.0
* - :ref:`sphx_glr_deep_dive_tensor_ir_tutorials_tir_transformation.py`
(``../deep_dive/tensor_ir/tutorials/tir_transformation.py``)
- - 00:00.297
+ - 00:00.295
- 0.0
* - :ref:`sphx_glr_deep_dive_tensor_ir_tutorials_tir_creation.py`
(``../deep_dive/tensor_ir/tutorials/tir_creation.py``)
- - 00:00.283
+ - 00:00.276
- 0.0
* - :ref:`sphx_glr_deep_dive_relax_tutorials_relax_creation.py`
(``../deep_dive/relax/tutorials/relax_creation.py``)
- - 00:00.158
+ - 00:00.156
- 0.0
* - :ref:`sphx_glr_get_started_tutorials_quick_start.py`
(``../get_started/tutorials/quick_start.py``)
- 00:00.154
@@ -66,10 +66,10 @@ Computation times
- 00:00.119
- 0.0
* - :ref:`sphx_glr_deep_dive_relax_tutorials_relax_transformation.py`
(``../deep_dive/relax/tutorials/relax_transformation.py``)
- - 00:00.055
+ - 00:00.056
- 0.0
* - :ref:`sphx_glr_how_to_tutorials_bring_your_own_codegen.py`
(``../how_to/tutorials/bring_your_own_codegen.py``)
- - 00:00.038
+ - 00:00.040
- 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/contribute/error_handling.html
b/docs/contribute/error_handling.html
index c80d8b1bca2..078152a7d27 100644
--- a/docs/contribute/error_handling.html
+++ b/docs/contribute/error_handling.html
@@ -339,7 +339,7 @@ the error message(see below).</p>
<p>You can add <code class="docutils literal notranslate"><span
class="pre"><ErrorType>:</span></code> prefix to your error message to
raise an error of the corresponding type.
Note that you do not have to add a new type
-<a class="reference internal"
href="../reference/api/python/testing.html#tvm.testing.TVMError"
title="tvm.error.TVMError"><code class="xref py py-class docutils literal
notranslate"><span class="pre">tvm.error.TVMError</span></code></a> will be
raised by default when
+<a class="reference internal"
href="../reference/api/python/error.html#tvm.error.TVMError"
title="tvm.error.TVMError"><code class="xref py py-class docutils literal
notranslate"><span class="pre">tvm.error.TVMError</span></code></a> will be
raised by default when
there is no error type prefix in the message.
This mechanism works for both <code class="docutils literal notranslate"><span
class="pre">LOG(FATAL)</span></code> and <code class="docutils literal
notranslate"><span class="pre">TVM_FFI_ICHECK</span></code> macros.
The following code gives an example on how to do so.</p>
diff --git a/docs/deep_dive/relax/tutorials/sg_execution_times.html
b/docs/deep_dive/relax/tutorials/sg_execution_times.html
index fa0ee876f58..c8c7c50a664 100644
--- a/docs/deep_dive/relax/tutorials/sg_execution_times.html
+++ b/docs/deep_dive/relax/tutorials/sg_execution_times.html
@@ -319,11 +319,11 @@ $(document).ready( function () {
</thead>
<tbody>
<tr class="row-even"><td><p><a class="reference internal"
href="relax_creation.html#sphx-glr-deep-dive-relax-tutorials-relax-creation-py"><span
class="std std-ref">Relax Creation</span></a> (<code class="docutils literal
notranslate"><span class="pre">relax_creation.py</span></code>)</p></td>
-<td><p>00:00.158</p></td>
+<td><p>00:00.156</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal"
href="relax_transformation.html#sphx-glr-deep-dive-relax-tutorials-relax-transformation-py"><span
class="std std-ref">Transformation</span></a> (<code class="docutils literal
notranslate"><span class="pre">relax_transformation.py</span></code>)</p></td>
-<td><p>00:00.055</p></td>
+<td><p>00:00.056</p></td>
<td><p>0.0</p></td>
</tr>
</tbody>
diff --git a/docs/deep_dive/tensor_ir/tutorials/sg_execution_times.html
b/docs/deep_dive/tensor_ir/tutorials/sg_execution_times.html
index 64af28f35cf..955bca54a2f 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>00:00.706</strong> total execution time for 4 files <strong>from
deep_dive/tensor_ir/tutorials</strong>:</p>
+<p><strong>00:00.698</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>00:00.297</p></td>
+<td><p>00:00.295</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>00:00.283</p></td>
+<td><p>00:00.276</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 fd6f7c21ad2..2ad055ed4e6 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>[[1.3412981 1.1255358 1.3765976
0.91166943]
- [1.2435323 1.2047567 1.3321669 1.1210454 ]
- [1.4767644 1.4728222 1.5262184 1.0847116 ]
- [0.47629577 0.43329966 0.60402477 0.56534576]]
-[[27.939613 26.320127 31.54509 ... 27.954042 29.744682 26.147005]
- [30.027557 30.34096 32.346 ... 31.134594 33.02766 28.399738]
- [30.5327 29.899715 35.410633 ... 33.788185 32.914154 26.83406 ]
+<div class="sphx-glr-script-out highlight-none notranslate"><div
class="highlight"><pre><span></span>[[0.78603977 1.2567391 0.64357495
0.99883723]
+ [1.0064801 1.7945733 1.2644527 1.3792714 ]
+ [1.1234629 1.777808 1.5243497 1.6113169 ]
+ [0.69878477 1.1055864 0.84191155 1.0592844 ]]
+[[34.463272 32.777714 32.68431 ... 31.918226 31.669792 34.507008]
+ [36.212646 33.864304 33.949078 ... 34.011288 33.478607 36.48338 ]
+ [33.786716 31.991299 33.711887 ... 29.125334 31.106115 34.14661 ]
...
- [30.400564 28.598064 34.298695 ... 31.398256 34.677372 28.638638]
- [32.166836 31.753153 34.694534 ... 33.028286 33.488533 29.58874 ]
- [25.649837 24.617033 29.744535 ... 26.74507 29.209084 22.739407]]
+ [33.60346 33.415062 32.436523 ... 28.578032 32.049442 35.476418]
+ [34.35555 34.69909 31.732517 ... 30.391525 31.448755 35.216587]
+ [33.159527 32.475445 30.619127 ... 29.126276 30.62171 32.525394]]
</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 4ab098ba577..a016b513131 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)
- 2.6540 2.6540 2.6540 2.6540 0.0000
+ 2.6947 2.6947 2.6947 2.6947 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)
- 0.8604 0.8604 0.8604 0.8604 0.0000
+ 0.8609 0.8609 0.8609 0.8609 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)
- 0.3479 0.3479 0.3479 0.3479 0.0000
+ 0.3551 0.3551 0.3551 0.3551 0.0000
</pre></div>
</div>
</section>
diff --git a/docs/get_started/tutorials/ir_module.html
b/docs/get_started/tutorials/ir_module.html
index e4ecf6c928c..8835d276240 100644
--- a/docs/get_started/tutorials/ir_module.html
+++ b/docs/get_started/tutorials/ir_module.html
@@ -819,8 +819,8 @@ backends.</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>[[-0.36897483 0.3276703 0.11581295
0.13950296 -0.01701315 -0.07630068
- 0.04085338 -0.19328049 0.03903951 0.0051354 ]]
+<div class="sphx-glr-script-out highlight-none notranslate"><div
class="highlight"><pre><span></span>[[-0.19535285 0.1414249 0.00930803
0.0105462 0.00412617 -0.26675886
+ -0.15852502 -0.02989877 0.10832487 0.19349828]]
</pre></div>
</div>
</section>
@@ -854,8 +854,8 @@ the details of <code class="docutils literal
notranslate"><span class="pre">DLig
<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>[[-0.36897483 0.32767037 0.11581291
0.13950287 -0.01701318 -0.07630067
- 0.04085342 -0.19328043 0.03903947 0.00513544]]
+<div class="sphx-glr-script-out highlight-none notranslate"><div
class="highlight"><pre><span></span>[[-0.19535276 0.1414249 0.00930802
0.0105462 0.00412618 -0.26675886
+ -0.15852505 -0.02989877 0.10832478 0.19349828]]
</pre></div>
</div>
</section>
diff --git a/docs/get_started/tutorials/quick_start.html
b/docs/get_started/tutorials/quick_start.html
index bcf85360d3f..0c0cbeb2901 100644
--- a/docs/get_started/tutorials/quick_start.html
+++ b/docs/get_started/tutorials/quick_start.html
@@ -460,8 +460,8 @@ different devices.</p>
<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>[[24582.81 25453.785 26265.879 24680.71
26398.172 23673.7 27314.762
- 23702.838 25785.197 27252.143]]
+<div class="sphx-glr-script-out highlight-none notranslate"><div
class="highlight"><pre><span></span>[[25759.164 24471.566 25294.402 26856.258
25031.69 24587.994 26635.371
+ 25074.6 25228.621 26572.83 ]]
</pre></div>
</div>
<p>Our goal is to bring machine learning to the application with any language
of interest,
diff --git a/docs/get_started/tutorials/sg_execution_times.html
b/docs/get_started/tutorials/sg_execution_times.html
index 2020760c95f..b92e84ff100 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>00:05.497</strong> total execution time for 2 files <strong>from
get_started/tutorials</strong>:</p>
+<p><strong>00:05.796</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" />
@@ -319,7 +319,7 @@ $(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>00:05.343</p></td>
+<td><p>00:05.642</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>
diff --git a/docs/how_to/tutorials/cross_compilation_and_rpc.html
b/docs/how_to/tutorials/cross_compilation_and_rpc.html
index 373eb99fefd..9be46bde54b 100644
--- a/docs/how_to/tutorials/cross_compilation_and_rpc.html
+++ b/docs/how_to/tutorials/cross_compilation_and_rpc.html
@@ -474,7 +474,7 @@ device and returns the measured cost. Network overhead is
excluded.</p>
<span class="nb">print</span><span class="p">(</span><span
class="sa">f</span><span class="s2">"</span><span class="si">{</span><span
class="n">cost</span><span class="si">:</span><span class="s2">g</span><span
class="si">}</span><span class="s2"> secs/op"</span><span
class="p">)</span>
</pre></div>
</div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div
class="highlight"><pre><span></span>9.2e-08 secs/op
+<div class="sphx-glr-script-out highlight-none notranslate"><div
class="highlight"><pre><span></span>9.1e-08 secs/op
</pre></div>
</div>
<dl>
@@ -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/tmpauju4fbk/model_deployed.so
-Saved parameters to: /tmp/tmpauju4fbk/model_params.npz
+Exported library to: /tmp/tmpc9ucoaqp/model_deployed.so
+Saved parameters to: /tmp/tmpc9ucoaqp/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 85c4dc41a71..fbe5b97b33a 100644
--- a/docs/how_to/tutorials/customize_opt.html
+++ b/docs/how_to/tutorials/customize_opt.html
@@ -621,8 +621,8 @@ pushing the performance to the limit. The current
optimization may not be the be
<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>[[24280.975 23624.158 24535.086 24792.398
24952.55 25924.236 25810.256
- 25533.91 25456.043 25152.748]]
+<div class="sphx-glr-script-out highlight-none notranslate"><div
class="highlight"><pre><span></span>[[26020.293 25864.379 24383.64 25637.75
25363.629 24262.03 25965.02
+ 25457.385 24599.79 24444.465]]
</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 2d85f2c47dc..c0baa503fc0 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]
- 69%|██████▉ | 30.9M/44.7M [00:00<00:00, 323MB/s]
-100%|██████████| 44.7M/44.7M [00:00<00:00, 332MB/s]
+ 53%|█████▎ | 23.5M/44.7M [00:00<00:00, 246MB/s]
+100%|██████████| 44.7M/44.7M [00:00<00:00, 281MB/s]
</pre></div>
</div>
</section>
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b/docs/how_to/tutorials/sg_execution_times.html
index 497ae961ec7..622b27749de 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
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heading"></a></h1>
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how_to/tutorials</strong>:</p>
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<div class="docutils container">
<style scoped>
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<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>
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href="customize_opt.html#sphx-glr-how-to-tutorials-customize-opt-py"><span
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+<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>
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<td><p>0.0</p></td>
</tr>
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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>00:00.587</p></td>
+<tr class="row-odd"><td><p><a class="reference internal"
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class="std std-ref">Customize Optimization</span></a> (<code class="docutils
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<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>
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</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>
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<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
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b/docs/reference/api/python/error.html
index 8eb07c3acf8..b39ad50ba97 100644
--- a/docs/reference/api/python/error.html
+++ b/docs/reference/api/python/error.html
@@ -380,7 +380,7 @@ copy the examples and raise errors with the same message
convention.</p>
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<table class="autosummary longtable docutils align-default">
<tbody>
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href="testing.html#tvm.testing.TVMError" title="tvm.error.TVMError"><code
class="xref py py-obj docutils literal notranslate"><span
class="pre">TVMError</span></code></a></p></td>
+<tr class="row-odd"><td><p><a class="reference internal"
href="#tvm.error.TVMError" title="tvm.error.TVMError"><code class="xref py
py-obj docutils literal notranslate"><span
class="pre">TVMError</span></code></a></p></td>
<td><p></p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal"
href="#tvm.error.InternalError" title="tvm.error.InternalError"><code
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diff --git a/docs/reference/api/python/relax/op.html
b/docs/reference/api/python/relax/op.html
index 7c0a739340f..f3e4f9782a2 100644
--- a/docs/reference/api/python/relax/op.html
+++ b/docs/reference/api/python/relax/op.html
@@ -2526,7 +2526,7 @@ Defaults to “ij”.</p></li>
<dl class="py function">
<dt class="sig sig-object py" id="tvm.relax.op.layout_transform">
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class="pre">tvm.relax.op.</span></span><span class="sig-name descname"><span
class="pre">layout_transform</span></span><span class="sig-paren">(</span><em
class="sig-param"><span class="n"><span class="pre">x</span></span><span
class="p"><span class="pre">:</span></span><span class="w"> </span><span
class="n"><a class="reference internal" href="../ir.html#tvm.ir.RelaxExpr"
title="tvm.ir.expr.RelaxExpr"><span class="pre">RelaxExpr</span></a></ [...]
+<span class="sig-prename descclassname"><span
class="pre">tvm.relax.op.</span></span><span class="sig-name descname"><span
class="pre">layout_transform</span></span><span class="sig-paren">(</span><em
class="sig-param"><span class="n"><span class="pre">x</span></span><span
class="p"><span class="pre">:</span></span><span class="w"> </span><span
class="n"><a class="reference internal" href="../ir.html#tvm.ir.RelaxExpr"
title="tvm.ir.expr.RelaxExpr"><span class="pre">RelaxExpr</span></a></ [...]
<dd><p>Modifies the layout of a tensor.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
diff --git a/docs/searchindex.js b/docs/searchindex.js
index 974c049c000..ef582a75e21 100644
--- a/docs/searchindex.js
+++ b/docs/searchindex.js
@@ -1 +1 @@
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diff --git a/docs/sg_execution_times.html b/docs/sg_execution_times.html
index 9ffda6cc9c1..cfa070f1b51 100644
--- a/docs/sg_execution_times.html
+++ b/docs/sg_execution_times.html
@@ -297,7 +297,7 @@
<section id="computation-times">
<span id="sphx-glr-sg-execution-times"></span><h1>Computation times<a
class="headerlink" href="#computation-times" title="Link to this
heading"></a></h1>
-<p><strong>00:21.677</strong> total execution time for 16 files <strong>from
all galleries</strong>:</p>
+<p><strong>00:22.188</strong> total execution time for 16 files <strong>from
all galleries</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";
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@@ -319,39 +319,39 @@ $(document).ready( function () {
</thead>
<tbody>
<tr class="row-even"><td><p><a class="reference internal"
href="how_to/tutorials/optimize_llm.html#sphx-glr-how-to-tutorials-optimize-llm-py"><span
class="std std-ref">Optimize Large Language Model</span></a> (<code
class="docutils literal notranslate"><span
class="pre">../how_to/tutorials/optimize_llm.py</span></code>)</p></td>
-<td><p>00:10.180</p></td>
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<tr class="row-odd"><td><p><a class="reference internal"
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notranslate"><span
class="pre">../get_started/tutorials/ir_module.py</span></code>)</p></td>
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<td><p>0.0</p></td>
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<tr class="row-even"><td><p><a class="reference internal"
href="how_to/tutorials/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">../how_to/tutorials/import_model.py</span></code>)</p></td>
-<td><p>00:03.305</p></td>
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<td><p>0.0</p></td>
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href="how_to/tutorials/customize_opt.html#sphx-glr-how-to-tutorials-customize-opt-py"><span
class="std std-ref">Customize Optimization</span></a> (<code class="docutils
literal notranslate"><span
class="pre">../how_to/tutorials/customize_opt.py</span></code>)</p></td>
-<td><p>00:00.676</p></td>
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href="how_to/tutorials/e2e_opt_model.html#sphx-glr-how-to-tutorials-e2e-opt-model-py"><span
class="std std-ref">End-to-End Optimize Model</span></a> (<code
class="docutils literal notranslate"><span
class="pre">../how_to/tutorials/e2e_opt_model.py</span></code>)</p></td>
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<td><p>0.0</p></td>
</tr>
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class="std std-ref">End-to-End Optimize Model</span></a> (<code
class="docutils literal notranslate"><span
class="pre">../how_to/tutorials/e2e_opt_model.py</span></code>)</p></td>
-<td><p>00:00.587</p></td>
+<tr class="row-even"><td><p><a class="reference internal"
href="how_to/tutorials/customize_opt.html#sphx-glr-how-to-tutorials-customize-opt-py"><span
class="std std-ref">Customize Optimization</span></a> (<code class="docutils
literal notranslate"><span
class="pre">../how_to/tutorials/customize_opt.py</span></code>)</p></td>
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<td><p>0.0</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal"
href="how_to/tutorials/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">../how_to/tutorials/cross_compilation_and_rpc.py</span></code>)</p></td>
-<td><p>00:00.470</p></td>
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<td><p>0.0</p></td>
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<tr class="row-even"><td><p><a class="reference internal"
href="deep_dive/tensor_ir/tutorials/tir_transformation.html#sphx-glr-deep-dive-tensor-ir-tutorials-tir-transformation-py"><span
class="std std-ref">Transformation</span></a> (<code class="docutils literal
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class="pre">../deep_dive/tensor_ir/tutorials/tir_transformation.py</span></code>)</p></td>
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<td><p>0.0</p></td>
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<tr class="row-odd"><td><p><a class="reference internal"
href="deep_dive/tensor_ir/tutorials/tir_creation.html#sphx-glr-deep-dive-tensor-ir-tutorials-tir-creation-py"><span
class="std std-ref">TensorIR Creation</span></a> (<code class="docutils
literal notranslate"><span
class="pre">../deep_dive/tensor_ir/tutorials/tir_creation.py</span></code>)</p></td>
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<tr class="row-even"><td><p><a class="reference internal"
href="deep_dive/relax/tutorials/relax_creation.html#sphx-glr-deep-dive-relax-tutorials-relax-creation-py"><span
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class="pre">../deep_dive/relax/tutorials/relax_creation.py</span></code>)</p></td>
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<tr class="row-odd"><td><p><a class="reference internal"
href="get_started/tutorials/quick_start.html#sphx-glr-get-started-tutorials-quick-start-py"><span
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notranslate"><span
class="pre">../get_started/tutorials/quick_start.py</span></code>)</p></td>
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class="pre">../deep_dive/relax/tutorials/relax_transformation.py</span></code>)</p></td>
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<tr class="row-even"><td><p><a class="reference internal"
href="how_to/tutorials/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">../how_to/tutorials/bring_your_own_codegen.py</span></code>)</p></td>
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<td><p>0.0</p></td>
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<tr class="row-odd"><td><p><a class="reference internal"
href="deep_dive/tensor_ir/tutorials/meta_schedule.html#sphx-glr-deep-dive-tensor-ir-tutorials-meta-schedule-py"><span
class="std std-ref">MetaSchedule: Search-Based Auto-Tuning</span></a> (<code
class="docutils literal notranslate"><span
class="pre">../deep_dive/tensor_ir/tutorials/meta_schedule.py</span></code>)</p></td>
