Reuse GELU implementation from PyTorch core - #8322

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swolchok merged 3 commits into
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gh/swolchok/120/orig
Feb 12, 2025
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Reuse GELU implementation from PyTorch core#8322
swolchok merged 3 commits into
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gh/swolchok/120/orig

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This PR was created by the merge bot to help merge the original PR into the main branch.
ghstack PR number: #7041
^ Please use this as the source of truth for the PR details, comments, and reviews
ghstack PR base: https://github.com/pytorch/executorch/tree/gh/swolchok/120/base
ghstack PR head: https://github.com/pytorch/executorch/tree/gh/swolchok/120/head
Merge bot PR base: https://github.com/pytorch/executorch/tree/gh/swolchok/124/orig
Merge bot PR head: https://github.com/pytorch/executorch/tree/gh/swolchok/120/orig
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🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/8322

Note: Links to docs will display an error until the docs builds have been completed.

❌ 1 New Failure, 5 Pending

As of commit 2c10b96 with merge base 89dc36c (image):

NEW FAILURE - The following job has failed:

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@facebook-github-botfacebook-github-bot added the CLA Signed This label is managed by the Facebook bot. Authors need to sign the CLA before a PR can be reviewed. label Feb 7, 2025
Base automatically changed from gh/swolchok/124/orig to mainFebruary 11, 2025 19:19
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Updated the base to main

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I discovered one typo during conflict resolution already, waiting for at least unittest jobs to come back

@swolchok

swolchok commented Feb 11, 2025

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I cannot repro the build failures on this PR with a linux machine. ./install_executorch.sh --pybind xnnpack --use-pt-pinned-commit is failing; no repro with or without --use-pt-pinned-commit. (I am not running the full CI flow and I am using venv instead of conda, which may be why.) @huydhn they're MKL-related and you touched MKL lately, any ideas? diff train is blocked :\

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trying to see if the following workflow reproduces:

  • pip uninstall torch
  • check out the pinned pytorch commit in local pytorch, python setup.py develop
  • go back to executorch, ./install_executorch.py --pybind xnnpack --use-pt-pinned-commit

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following workflow reproduces

nope. install_executorch.py uninstalls torch installed this way. also getting ImportError: /data/users/swolchok/pytorch/torch/lib/libtorch_python.so: undefined symbol: _PyThreadState_GetCurrent so apparently the way I'm building pytorch is somehow wrong :\

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I cannot repro the build failures on this PR with a linux machine. ./install_executorch.sh --pybind xnnpack --use-pt-pinned-commit is failing; no repro with or without --use-pt-pinned-commit. (I am not running the full CI flow and I am using venv instead of conda, which may be why.) @huydhn they're MKL-related and you touched MKL lately, any ideas? diff train is blocked :\

I haven't been able to connect the dots yet, but let me take a closer look

swolchok pushed a commit that referenced this pull request Feb 12, 2025
While debugging the build issue on #8322 w.r.t mkl, I undercover a complex interaction between #8322, #8248 (to install mkl), and https://github.com/pytorch/pytorch/blob/main/cmake/public/mkl.cmake from PyTorch. The error is as follows:
```
CMake Error at /opt/conda/envs/py_3.10/lib/cmake/mkl/MKLConfig.cmake:744 (add_library): <-- This file comes from conda mkl
add_library cannot create imported target "MKL::MKL" because another target
with the same name already exists.
Call Stack (most recent call first):
/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/public/mkl.cmake:1 (find_package) <-- this is from PyTorch
/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/Caffe2Config.cmake:106 (include)
/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:68 (find_package)
CMakeLists.txt:753 (find_package)
```
The conclusion is that, with mkl installed, there should be just one `find_package(Torch)` call because the mkl target is defined globally. The `torch` target, on the other hand, is only defined locally.
So, this change adds `if(NOT TARGET torch)` check to only call `find_package(Torch)` if needed.
### Testing
The change on top of #8322 looks like this f705b01https://github.com/pytorch/executorch/actions/runs/13278590926?pr=8399
@swolchok

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rebased the branch locally, fixed conflicts, and force-pushed. hopefully we should acutlaly have picked up #8407 and will be able to land soon.

Github Executorchand others added 3 commits February 12, 2025 11:34
Pull Request resolved: #7041
kernels/optimized doesn't need to support embedded systems, so it can just take a header-only dep on PyTorch.
Note that, because we will pick up Sleef internally and ignore it
externally thanks to ATen vec, this PR gets to enable optimized GELU in OSS.
Testing: CI to make sure this doesn't break mobile build modes; happy to take advice on anything not currently covered that might break.
ghstack-source-id: 265190627
@exported-using-ghexport
Differential Revision: [D66335522](https://our.internmc.facebook.com/intern/diff/D66335522/)
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Reuse GELU implementation from PyTorch core - #8322

Merged
swolchok merged 3 commits into
mainfrom
gh/swolchok/120/orig
Feb 12, 2025
Merged

Reuse GELU implementation from PyTorch core#8322
swolchok merged 3 commits into
mainfrom
gh/swolchok/120/orig

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This PR was created by the merge bot to help merge the original PR into the main branch.
ghstack PR number: #7041
^ Please use this as the source of truth for the PR details, comments, and reviews
ghstack PR base: https://github.com/pytorch/executorch/tree/gh/swolchok/120/base
ghstack PR head: https://github.com/pytorch/executorch/tree/gh/swolchok/120/head
Merge bot PR base: https://github.com/pytorch/executorch/tree/gh/swolchok/124/orig
Merge bot PR head: https://github.com/pytorch/executorch/tree/gh/swolchok/120/orig
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🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/8322

Note: Links to docs will display an error until the docs builds have been completed.

❌ 1 New Failure, 5 Pending

As of commit 2c10b96 with merge base 89dc36c (image):

NEW FAILURE - The following job has failed:

This comment was automatically generated by Dr. CI and updates every 15 minutes.

@facebook-github-botfacebook-github-bot added the CLA Signed This label is managed by the Facebook bot. Authors need to sign the CLA before a PR can be reviewed. label Feb 7, 2025
Base automatically changed from gh/swolchok/124/orig to mainFebruary 11, 2025 19:19
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Updated the base to main

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I discovered one typo during conflict resolution already, waiting for at least unittest jobs to come back

@swolchok

swolchok commented Feb 11, 2025

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I cannot repro the build failures on this PR with a linux machine. ./install_executorch.sh --pybind xnnpack --use-pt-pinned-commit is failing; no repro with or without --use-pt-pinned-commit. (I am not running the full CI flow and I am using venv instead of conda, which may be why.) @huydhn they're MKL-related and you touched MKL lately, any ideas? diff train is blocked :\

@swolchok

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trying to see if the following workflow reproduces:

  • pip uninstall torch
  • check out the pinned pytorch commit in local pytorch, python setup.py develop
  • go back to executorch, ./install_executorch.py --pybind xnnpack --use-pt-pinned-commit

@swolchok

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following workflow reproduces

nope. install_executorch.py uninstalls torch installed this way. also getting ImportError: /data/users/swolchok/pytorch/torch/lib/libtorch_python.so: undefined symbol: _PyThreadState_GetCurrent so apparently the way I'm building pytorch is somehow wrong :\

@huydhn

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I cannot repro the build failures on this PR with a linux machine. ./install_executorch.sh --pybind xnnpack --use-pt-pinned-commit is failing; no repro with or without --use-pt-pinned-commit. (I am not running the full CI flow and I am using venv instead of conda, which may be why.) @huydhn they're MKL-related and you touched MKL lately, any ideas? diff train is blocked :\

I haven't been able to connect the dots yet, but let me take a closer look

swolchok pushed a commit that referenced this pull request Feb 12, 2025
While debugging the build issue on #8322 w.r.t mkl, I undercover a complex interaction between #8322, #8248 (to install mkl), and https://github.com/pytorch/pytorch/blob/main/cmake/public/mkl.cmake from PyTorch. The error is as follows:
```
CMake Error at /opt/conda/envs/py_3.10/lib/cmake/mkl/MKLConfig.cmake:744 (add_library): <-- This file comes from conda mkl
add_library cannot create imported target "MKL::MKL" because another target
with the same name already exists.
Call Stack (most recent call first):
/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/public/mkl.cmake:1 (find_package) <-- this is from PyTorch
/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/Caffe2Config.cmake:106 (include)
/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:68 (find_package)
CMakeLists.txt:753 (find_package)
```
The conclusion is that, with mkl installed, there should be just one `find_package(Torch)` call because the mkl target is defined globally. The `torch` target, on the other hand, is only defined locally.
So, this change adds `if(NOT TARGET torch)` check to only call `find_package(Torch)` if needed.
### Testing
The change on top of #8322 looks like this f705b01https://github.com/pytorch/executorch/actions/runs/13278590926?pr=8399
@swolchok

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rebased the branch locally, fixed conflicts, and force-pushed. hopefully we should acutlaly have picked up #8407 and will be able to land soon.

Github Executorchand others added 3 commits February 12, 2025 11:34
Pull Request resolved: #7041
kernels/optimized doesn't need to support embedded systems, so it can just take a header-only dep on PyTorch.
Note that, because we will pick up Sleef internally and ignore it
externally thanks to ATen vec, this PR gets to enable optimized GELU in OSS.
Testing: CI to make sure this doesn't break mobile build modes; happy to take advice on anything not currently covered that might break.
ghstack-source-id: 265190627
@exported-using-ghexport
Differential Revision: [D66335522](https://our.internmc.facebook.com/intern/diff/D66335522/)
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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Reuse GELU implementation from PyTorch core - #8322

Merged
swolchok merged 3 commits into
mainfrom
gh/swolchok/120/orig
Feb 12, 2025
Merged

Reuse GELU implementation from PyTorch core#8322
swolchok merged 3 commits into
mainfrom
gh/swolchok/120/orig

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This PR was created by the merge bot to help merge the original PR into the main branch.
ghstack PR number: #7041
^ Please use this as the source of truth for the PR details, comments, and reviews
ghstack PR base: https://github.com/pytorch/executorch/tree/gh/swolchok/120/base
ghstack PR head: https://github.com/pytorch/executorch/tree/gh/swolchok/120/head
Merge bot PR base: https://github.com/pytorch/executorch/tree/gh/swolchok/124/orig
Merge bot PR head: https://github.com/pytorch/executorch/tree/gh/swolchok/120/orig
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🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/8322

Note: Links to docs will display an error until the docs builds have been completed.

❌ 1 New Failure, 5 Pending

As of commit 2c10b96 with merge base 89dc36c (image):

NEW FAILURE - The following job has failed:

This comment was automatically generated by Dr. CI and updates every 15 minutes.

@facebook-github-botfacebook-github-bot added the CLA Signed This label is managed by the Facebook bot. Authors need to sign the CLA before a PR can be reviewed. label Feb 7, 2025
Base automatically changed from gh/swolchok/124/orig to mainFebruary 11, 2025 19:19
@lucylq

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Updated the base to main

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I discovered one typo during conflict resolution already, waiting for at least unittest jobs to come back

@swolchok

swolchok commented Feb 11, 2025

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I cannot repro the build failures on this PR with a linux machine. ./install_executorch.sh --pybind xnnpack --use-pt-pinned-commit is failing; no repro with or without --use-pt-pinned-commit. (I am not running the full CI flow and I am using venv instead of conda, which may be why.) @huydhn they're MKL-related and you touched MKL lately, any ideas? diff train is blocked :\

@swolchok

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trying to see if the following workflow reproduces:

  • pip uninstall torch
  • check out the pinned pytorch commit in local pytorch, python setup.py develop
  • go back to executorch, ./install_executorch.py --pybind xnnpack --use-pt-pinned-commit

@swolchok

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following workflow reproduces

nope. install_executorch.py uninstalls torch installed this way. also getting ImportError: /data/users/swolchok/pytorch/torch/lib/libtorch_python.so: undefined symbol: _PyThreadState_GetCurrent so apparently the way I'm building pytorch is somehow wrong :\

@huydhn

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I cannot repro the build failures on this PR with a linux machine. ./install_executorch.sh --pybind xnnpack --use-pt-pinned-commit is failing; no repro with or without --use-pt-pinned-commit. (I am not running the full CI flow and I am using venv instead of conda, which may be why.) @huydhn they're MKL-related and you touched MKL lately, any ideas? diff train is blocked :\

I haven't been able to connect the dots yet, but let me take a closer look

swolchok pushed a commit that referenced this pull request Feb 12, 2025
While debugging the build issue on #8322 w.r.t mkl, I undercover a complex interaction between #8322, #8248 (to install mkl), and https://github.com/pytorch/pytorch/blob/main/cmake/public/mkl.cmake from PyTorch. The error is as follows:
```
CMake Error at /opt/conda/envs/py_3.10/lib/cmake/mkl/MKLConfig.cmake:744 (add_library): <-- This file comes from conda mkl
add_library cannot create imported target "MKL::MKL" because another target
with the same name already exists.
Call Stack (most recent call first):
/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/public/mkl.cmake:1 (find_package) <-- this is from PyTorch
/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/Caffe2Config.cmake:106 (include)
/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:68 (find_package)
CMakeLists.txt:753 (find_package)
```
The conclusion is that, with mkl installed, there should be just one `find_package(Torch)` call because the mkl target is defined globally. The `torch` target, on the other hand, is only defined locally.
So, this change adds `if(NOT TARGET torch)` check to only call `find_package(Torch)` if needed.
### Testing
The change on top of #8322 looks like this f705b01https://github.com/pytorch/executorch/actions/runs/13278590926?pr=8399
@swolchok

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rebased the branch locally, fixed conflicts, and force-pushed. hopefully we should acutlaly have picked up #8407 and will be able to land soon.

Github Executorchand others added 3 commits February 12, 2025 11:34
Pull Request resolved: #7041
kernels/optimized doesn't need to support embedded systems, so it can just take a header-only dep on PyTorch.
Note that, because we will pick up Sleef internally and ignore it
externally thanks to ATen vec, this PR gets to enable optimized GELU in OSS.
Testing: CI to make sure this doesn't break mobile build modes; happy to take advice on anything not currently covered that might break.
ghstack-source-id: 265190627
@exported-using-ghexport
Differential Revision: [D66335522](https://our.internmc.facebook.com/intern/diff/D66335522/)
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Reuse GELU implementation from PyTorch core - #8322

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swolchok merged 3 commits into
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gh/swolchok/120/orig
Feb 12, 2025
Merged

Reuse GELU implementation from PyTorch core#8322
swolchok merged 3 commits into
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gh/swolchok/120/orig

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This PR was created by the merge bot to help merge the original PR into the main branch.
ghstack PR number: #7041
^ Please use this as the source of truth for the PR details, comments, and reviews
ghstack PR base: https://github.com/pytorch/executorch/tree/gh/swolchok/120/base
ghstack PR head: https://github.com/pytorch/executorch/tree/gh/swolchok/120/head
Merge bot PR base: https://github.com/pytorch/executorch/tree/gh/swolchok/124/orig
Merge bot PR head: https://github.com/pytorch/executorch/tree/gh/swolchok/120/orig
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🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/8322

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❌ 1 New Failure, 5 Pending

As of commit 2c10b96 with merge base 89dc36c (image):

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@facebook-github-botfacebook-github-bot added the CLA Signed This label is managed by the Facebook bot. Authors need to sign the CLA before a PR can be reviewed. label Feb 7, 2025
Base automatically changed from gh/swolchok/124/orig to mainFebruary 11, 2025 19:19
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Updated the base to main

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I discovered one typo during conflict resolution already, waiting for at least unittest jobs to come back

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swolchok commented Feb 11, 2025

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I cannot repro the build failures on this PR with a linux machine. ./install_executorch.sh --pybind xnnpack --use-pt-pinned-commit is failing; no repro with or without --use-pt-pinned-commit. (I am not running the full CI flow and I am using venv instead of conda, which may be why.) @huydhn they're MKL-related and you touched MKL lately, any ideas? diff train is blocked :\

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trying to see if the following workflow reproduces:

  • pip uninstall torch
  • check out the pinned pytorch commit in local pytorch, python setup.py develop
  • go back to executorch, ./install_executorch.py --pybind xnnpack --use-pt-pinned-commit

@swolchok

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following workflow reproduces

nope. install_executorch.py uninstalls torch installed this way. also getting ImportError: /data/users/swolchok/pytorch/torch/lib/libtorch_python.so: undefined symbol: _PyThreadState_GetCurrent so apparently the way I'm building pytorch is somehow wrong :\

@huydhn

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I cannot repro the build failures on this PR with a linux machine. ./install_executorch.sh --pybind xnnpack --use-pt-pinned-commit is failing; no repro with or without --use-pt-pinned-commit. (I am not running the full CI flow and I am using venv instead of conda, which may be why.) @huydhn they're MKL-related and you touched MKL lately, any ideas? diff train is blocked :\

I haven't been able to connect the dots yet, but let me take a closer look

swolchok pushed a commit that referenced this pull request Feb 12, 2025
While debugging the build issue on #8322 w.r.t mkl, I undercover a complex interaction between #8322, #8248 (to install mkl), and https://github.com/pytorch/pytorch/blob/main/cmake/public/mkl.cmake from PyTorch. The error is as follows:
```
CMake Error at /opt/conda/envs/py_3.10/lib/cmake/mkl/MKLConfig.cmake:744 (add_library): <-- This file comes from conda mkl
add_library cannot create imported target "MKL::MKL" because another target
with the same name already exists.
Call Stack (most recent call first):
/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/public/mkl.cmake:1 (find_package) <-- this is from PyTorch
/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/Caffe2Config.cmake:106 (include)
/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:68 (find_package)
CMakeLists.txt:753 (find_package)
```
The conclusion is that, with mkl installed, there should be just one `find_package(Torch)` call because the mkl target is defined globally. The `torch` target, on the other hand, is only defined locally.
So, this change adds `if(NOT TARGET torch)` check to only call `find_package(Torch)` if needed.
### Testing
The change on top of #8322 looks like this f705b01https://github.com/pytorch/executorch/actions/runs/13278590926?pr=8399
@swolchok

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rebased the branch locally, fixed conflicts, and force-pushed. hopefully we should acutlaly have picked up #8407 and will be able to land soon.

Github Executorchand others added 3 commits February 12, 2025 11:34
Pull Request resolved: #7041
kernels/optimized doesn't need to support embedded systems, so it can just take a header-only dep on PyTorch.
Note that, because we will pick up Sleef internally and ignore it
externally thanks to ATen vec, this PR gets to enable optimized GELU in OSS.
Testing: CI to make sure this doesn't break mobile build modes; happy to take advice on anything not currently covered that might break.
ghstack-source-id: 265190627
@exported-using-ghexport
Differential Revision: [D66335522](https://our.internmc.facebook.com/intern/diff/D66335522/)
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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
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Reuse GELU implementation from PyTorch core - #8322

Merged
swolchok merged 3 commits into
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gh/swolchok/120/orig
Feb 12, 2025
Merged

Reuse GELU implementation from PyTorch core#8322
swolchok merged 3 commits into
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gh/swolchok/120/orig

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This PR was created by the merge bot to help merge the original PR into the main branch.
ghstack PR number: #7041
^ Please use this as the source of truth for the PR details, comments, and reviews
ghstack PR base: https://github.com/pytorch/executorch/tree/gh/swolchok/120/base
ghstack PR head: https://github.com/pytorch/executorch/tree/gh/swolchok/120/head
Merge bot PR base: https://github.com/pytorch/executorch/tree/gh/swolchok/124/orig
Merge bot PR head: https://github.com/pytorch/executorch/tree/gh/swolchok/120/orig
@diff-train-skip-merge

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🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/8322

Note: Links to docs will display an error until the docs builds have been completed.

❌ 1 New Failure, 5 Pending

As of commit 2c10b96 with merge base 89dc36c (image):

NEW FAILURE - The following job has failed:

This comment was automatically generated by Dr. CI and updates every 15 minutes.

@facebook-github-botfacebook-github-bot added the CLA Signed This label is managed by the Facebook bot. Authors need to sign the CLA before a PR can be reviewed. label Feb 7, 2025
Base automatically changed from gh/swolchok/124/orig to mainFebruary 11, 2025 19:19
@lucylq

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Updated the base to main

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I discovered one typo during conflict resolution already, waiting for at least unittest jobs to come back

@swolchok

swolchok commented Feb 11, 2025

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I cannot repro the build failures on this PR with a linux machine. ./install_executorch.sh --pybind xnnpack --use-pt-pinned-commit is failing; no repro with or without --use-pt-pinned-commit. (I am not running the full CI flow and I am using venv instead of conda, which may be why.) @huydhn they're MKL-related and you touched MKL lately, any ideas? diff train is blocked :\

@swolchok

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trying to see if the following workflow reproduces:

  • pip uninstall torch
  • check out the pinned pytorch commit in local pytorch, python setup.py develop
  • go back to executorch, ./install_executorch.py --pybind xnnpack --use-pt-pinned-commit

@swolchok

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following workflow reproduces

nope. install_executorch.py uninstalls torch installed this way. also getting ImportError: /data/users/swolchok/pytorch/torch/lib/libtorch_python.so: undefined symbol: _PyThreadState_GetCurrent so apparently the way I'm building pytorch is somehow wrong :\

@huydhn

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I cannot repro the build failures on this PR with a linux machine. ./install_executorch.sh --pybind xnnpack --use-pt-pinned-commit is failing; no repro with or without --use-pt-pinned-commit. (I am not running the full CI flow and I am using venv instead of conda, which may be why.) @huydhn they're MKL-related and you touched MKL lately, any ideas? diff train is blocked :\

I haven't been able to connect the dots yet, but let me take a closer look

swolchok pushed a commit that referenced this pull request Feb 12, 2025
While debugging the build issue on #8322 w.r.t mkl, I undercover a complex interaction between #8322, #8248 (to install mkl), and https://github.com/pytorch/pytorch/blob/main/cmake/public/mkl.cmake from PyTorch. The error is as follows:
```
CMake Error at /opt/conda/envs/py_3.10/lib/cmake/mkl/MKLConfig.cmake:744 (add_library): <-- This file comes from conda mkl
add_library cannot create imported target "MKL::MKL" because another target
with the same name already exists.
Call Stack (most recent call first):
/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/public/mkl.cmake:1 (find_package) <-- this is from PyTorch
/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/Caffe2Config.cmake:106 (include)
/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:68 (find_package)
CMakeLists.txt:753 (find_package)
```
The conclusion is that, with mkl installed, there should be just one `find_package(Torch)` call because the mkl target is defined globally. The `torch` target, on the other hand, is only defined locally.
So, this change adds `if(NOT TARGET torch)` check to only call `find_package(Torch)` if needed.
### Testing
The change on top of #8322 looks like this f705b01https://github.com/pytorch/executorch/actions/runs/13278590926?pr=8399
@swolchok

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rebased the branch locally, fixed conflicts, and force-pushed. hopefully we should acutlaly have picked up #8407 and will be able to land soon.

Github Executorchand others added 3 commits February 12, 2025 11:34
Pull Request resolved: #7041
kernels/optimized doesn't need to support embedded systems, so it can just take a header-only dep on PyTorch.
Note that, because we will pick up Sleef internally and ignore it
externally thanks to ATen vec, this PR gets to enable optimized GELU in OSS.
Testing: CI to make sure this doesn't break mobile build modes; happy to take advice on anything not currently covered that might break.
ghstack-source-id: 265190627
@exported-using-ghexport
Differential Revision: [D66335522](https://our.internmc.facebook.com/intern/diff/D66335522/)
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@pytorchbot@lucylq@swolchok@huydhn@tarun292@kirklandsign@facebook-github-bot
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Reuse GELU implementation from PyTorch core - #8322

Merged
swolchok merged 3 commits into
mainfrom
gh/swolchok/120/orig
Feb 12, 2025
Merged

Reuse GELU implementation from PyTorch core#8322
swolchok merged 3 commits into
mainfrom
gh/swolchok/120/orig

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This PR was created by the merge bot to help merge the original PR into the main branch.
ghstack PR number: #7041
^ Please use this as the source of truth for the PR details, comments, and reviews
ghstack PR base: https://github.com/pytorch/executorch/tree/gh/swolchok/120/base
ghstack PR head: https://github.com/pytorch/executorch/tree/gh/swolchok/120/head
Merge bot PR base: https://github.com/pytorch/executorch/tree/gh/swolchok/124/orig
Merge bot PR head: https://github.com/pytorch/executorch/tree/gh/swolchok/120/orig
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🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/8322

Note: Links to docs will display an error until the docs builds have been completed.

❌ 1 New Failure, 5 Pending

As of commit 2c10b96 with merge base 89dc36c (image):

NEW FAILURE - The following job has failed:

This comment was automatically generated by Dr. CI and updates every 15 minutes.

@facebook-github-botfacebook-github-bot added the CLA Signed This label is managed by the Facebook bot. Authors need to sign the CLA before a PR can be reviewed. label Feb 7, 2025
Base automatically changed from gh/swolchok/124/orig to mainFebruary 11, 2025 19:19
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Updated the base to main

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I discovered one typo during conflict resolution already, waiting for at least unittest jobs to come back

@swolchok

swolchok commented Feb 11, 2025

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I cannot repro the build failures on this PR with a linux machine. ./install_executorch.sh --pybind xnnpack --use-pt-pinned-commit is failing; no repro with or without --use-pt-pinned-commit. (I am not running the full CI flow and I am using venv instead of conda, which may be why.) @huydhn they're MKL-related and you touched MKL lately, any ideas? diff train is blocked :\

@swolchok

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trying to see if the following workflow reproduces:

  • pip uninstall torch
  • check out the pinned pytorch commit in local pytorch, python setup.py develop
  • go back to executorch, ./install_executorch.py --pybind xnnpack --use-pt-pinned-commit

@swolchok

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following workflow reproduces

nope. install_executorch.py uninstalls torch installed this way. also getting ImportError: /data/users/swolchok/pytorch/torch/lib/libtorch_python.so: undefined symbol: _PyThreadState_GetCurrent so apparently the way I'm building pytorch is somehow wrong :\

@huydhn

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I cannot repro the build failures on this PR with a linux machine. ./install_executorch.sh --pybind xnnpack --use-pt-pinned-commit is failing; no repro with or without --use-pt-pinned-commit. (I am not running the full CI flow and I am using venv instead of conda, which may be why.) @huydhn they're MKL-related and you touched MKL lately, any ideas? diff train is blocked :\

I haven't been able to connect the dots yet, but let me take a closer look

swolchok pushed a commit that referenced this pull request Feb 12, 2025
While debugging the build issue on #8322 w.r.t mkl, I undercover a complex interaction between #8322, #8248 (to install mkl), and https://github.com/pytorch/pytorch/blob/main/cmake/public/mkl.cmake from PyTorch. The error is as follows:
```
CMake Error at /opt/conda/envs/py_3.10/lib/cmake/mkl/MKLConfig.cmake:744 (add_library): <-- This file comes from conda mkl
add_library cannot create imported target "MKL::MKL" because another target
with the same name already exists.
Call Stack (most recent call first):
/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/public/mkl.cmake:1 (find_package) <-- this is from PyTorch
/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/Caffe2Config.cmake:106 (include)
/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:68 (find_package)
CMakeLists.txt:753 (find_package)
```
The conclusion is that, with mkl installed, there should be just one `find_package(Torch)` call because the mkl target is defined globally. The `torch` target, on the other hand, is only defined locally.
So, this change adds `if(NOT TARGET torch)` check to only call `find_package(Torch)` if needed.
### Testing
The change on top of #8322 looks like this f705b01https://github.com/pytorch/executorch/actions/runs/13278590926?pr=8399
@swolchok

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rebased the branch locally, fixed conflicts, and force-pushed. hopefully we should acutlaly have picked up #8407 and will be able to land soon.

Github Executorchand others added 3 commits February 12, 2025 11:34
Pull Request resolved: #7041
kernels/optimized doesn't need to support embedded systems, so it can just take a header-only dep on PyTorch.
Note that, because we will pick up Sleef internally and ignore it
externally thanks to ATen vec, this PR gets to enable optimized GELU in OSS.
Testing: CI to make sure this doesn't break mobile build modes; happy to take advice on anything not currently covered that might break.
ghstack-source-id: 265190627
@exported-using-ghexport
Differential Revision: [D66335522](https://our.internmc.facebook.com/intern/diff/D66335522/)
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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Reuse GELU implementation from PyTorch core - #8322

Merged
swolchok merged 3 commits into
mainfrom
gh/swolchok/120/orig
Feb 12, 2025
Merged

Reuse GELU implementation from PyTorch core#8322
swolchok merged 3 commits into
mainfrom
gh/swolchok/120/orig

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This PR was created by the merge bot to help merge the original PR into the main branch.
ghstack PR number: #7041
^ Please use this as the source of truth for the PR details, comments, and reviews
ghstack PR base: https://github.com/pytorch/executorch/tree/gh/swolchok/120/base
ghstack PR head: https://github.com/pytorch/executorch/tree/gh/swolchok/120/head
Merge bot PR base: https://github.com/pytorch/executorch/tree/gh/swolchok/124/orig
Merge bot PR head: https://github.com/pytorch/executorch/tree/gh/swolchok/120/orig
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🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/8322

Note: Links to docs will display an error until the docs builds have been completed.

❌ 1 New Failure, 5 Pending

As of commit 2c10b96 with merge base 89dc36c (image):

NEW FAILURE - The following job has failed:

This comment was automatically generated by Dr. CI and updates every 15 minutes.

@facebook-github-botfacebook-github-bot added the CLA Signed This label is managed by the Facebook bot. Authors need to sign the CLA before a PR can be reviewed. label Feb 7, 2025
Base automatically changed from gh/swolchok/124/orig to mainFebruary 11, 2025 19:19
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Updated the base to main

@swolchok

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I discovered one typo during conflict resolution already, waiting for at least unittest jobs to come back

@swolchok

swolchok commented Feb 11, 2025

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I cannot repro the build failures on this PR with a linux machine. ./install_executorch.sh --pybind xnnpack --use-pt-pinned-commit is failing; no repro with or without --use-pt-pinned-commit. (I am not running the full CI flow and I am using venv instead of conda, which may be why.) @huydhn they're MKL-related and you touched MKL lately, any ideas? diff train is blocked :\

@swolchok

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trying to see if the following workflow reproduces:

  • pip uninstall torch
  • check out the pinned pytorch commit in local pytorch, python setup.py develop
  • go back to executorch, ./install_executorch.py --pybind xnnpack --use-pt-pinned-commit

@swolchok

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following workflow reproduces

nope. install_executorch.py uninstalls torch installed this way. also getting ImportError: /data/users/swolchok/pytorch/torch/lib/libtorch_python.so: undefined symbol: _PyThreadState_GetCurrent so apparently the way I'm building pytorch is somehow wrong :\

@huydhn

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I cannot repro the build failures on this PR with a linux machine. ./install_executorch.sh --pybind xnnpack --use-pt-pinned-commit is failing; no repro with or without --use-pt-pinned-commit. (I am not running the full CI flow and I am using venv instead of conda, which may be why.) @huydhn they're MKL-related and you touched MKL lately, any ideas? diff train is blocked :\

I haven't been able to connect the dots yet, but let me take a closer look

swolchok pushed a commit that referenced this pull request Feb 12, 2025
While debugging the build issue on #8322 w.r.t mkl, I undercover a complex interaction between #8322, #8248 (to install mkl), and https://github.com/pytorch/pytorch/blob/main/cmake/public/mkl.cmake from PyTorch. The error is as follows:
```
CMake Error at /opt/conda/envs/py_3.10/lib/cmake/mkl/MKLConfig.cmake:744 (add_library): <-- This file comes from conda mkl
add_library cannot create imported target "MKL::MKL" because another target
with the same name already exists.
Call Stack (most recent call first):
/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/public/mkl.cmake:1 (find_package) <-- this is from PyTorch
/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/Caffe2Config.cmake:106 (include)
/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:68 (find_package)
CMakeLists.txt:753 (find_package)
```
The conclusion is that, with mkl installed, there should be just one `find_package(Torch)` call because the mkl target is defined globally. The `torch` target, on the other hand, is only defined locally.
So, this change adds `if(NOT TARGET torch)` check to only call `find_package(Torch)` if needed.
### Testing
The change on top of #8322 looks like this f705b01https://github.com/pytorch/executorch/actions/runs/13278590926?pr=8399
@swolchok

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rebased the branch locally, fixed conflicts, and force-pushed. hopefully we should acutlaly have picked up #8407 and will be able to land soon.

Github Executorchand others added 3 commits February 12, 2025 11:34
Pull Request resolved: #7041
kernels/optimized doesn't need to support embedded systems, so it can just take a header-only dep on PyTorch.
Note that, because we will pick up Sleef internally and ignore it
externally thanks to ATen vec, this PR gets to enable optimized GELU in OSS.
Testing: CI to make sure this doesn't break mobile build modes; happy to take advice on anything not currently covered that might break.
ghstack-source-id: 265190627
@exported-using-ghexport
Differential Revision: [D66335522](https://our.internmc.facebook.com/intern/diff/D66335522/)
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Reuse GELU implementation from PyTorch core - #8322

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swolchok merged 3 commits into
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gh/swolchok/120/orig
Feb 12, 2025
Merged

Reuse GELU implementation from PyTorch core#8322
swolchok merged 3 commits into
mainfrom
gh/swolchok/120/orig

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This PR was created by the merge bot to help merge the original PR into the main branch.
ghstack PR number: #7041
^ Please use this as the source of truth for the PR details, comments, and reviews
ghstack PR base: https://github.com/pytorch/executorch/tree/gh/swolchok/120/base
ghstack PR head: https://github.com/pytorch/executorch/tree/gh/swolchok/120/head
Merge bot PR base: https://github.com/pytorch/executorch/tree/gh/swolchok/124/orig
Merge bot PR head: https://github.com/pytorch/executorch/tree/gh/swolchok/120/orig
@diff-train-skip-merge

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pytorch-botBot commented Feb 7, 2025

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🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/8322

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❌ 1 New Failure, 5 Pending

As of commit 2c10b96 with merge base 89dc36c (image):

NEW FAILURE - The following job has failed:

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@facebook-github-botfacebook-github-bot added the CLA Signed This label is managed by the Facebook bot. Authors need to sign the CLA before a PR can be reviewed. label Feb 7, 2025
Base automatically changed from gh/swolchok/124/orig to mainFebruary 11, 2025 19:19
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Updated the base to main

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I discovered one typo during conflict resolution already, waiting for at least unittest jobs to come back

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swolchok commented Feb 11, 2025

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I cannot repro the build failures on this PR with a linux machine. ./install_executorch.sh --pybind xnnpack --use-pt-pinned-commit is failing; no repro with or without --use-pt-pinned-commit. (I am not running the full CI flow and I am using venv instead of conda, which may be why.) @huydhn they're MKL-related and you touched MKL lately, any ideas? diff train is blocked :\

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trying to see if the following workflow reproduces:

  • pip uninstall torch
  • check out the pinned pytorch commit in local pytorch, python setup.py develop
  • go back to executorch, ./install_executorch.py --pybind xnnpack --use-pt-pinned-commit

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following workflow reproduces

nope. install_executorch.py uninstalls torch installed this way. also getting ImportError: /data/users/swolchok/pytorch/torch/lib/libtorch_python.so: undefined symbol: _PyThreadState_GetCurrent so apparently the way I'm building pytorch is somehow wrong :\

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I cannot repro the build failures on this PR with a linux machine. ./install_executorch.sh --pybind xnnpack --use-pt-pinned-commit is failing; no repro with or without --use-pt-pinned-commit. (I am not running the full CI flow and I am using venv instead of conda, which may be why.) @huydhn they're MKL-related and you touched MKL lately, any ideas? diff train is blocked :\

I haven't been able to connect the dots yet, but let me take a closer look

swolchok pushed a commit that referenced this pull request Feb 12, 2025
While debugging the build issue on #8322 w.r.t mkl, I undercover a complex interaction between #8322, #8248 (to install mkl), and https://github.com/pytorch/pytorch/blob/main/cmake/public/mkl.cmake from PyTorch. The error is as follows:
```
CMake Error at /opt/conda/envs/py_3.10/lib/cmake/mkl/MKLConfig.cmake:744 (add_library): <-- This file comes from conda mkl
add_library cannot create imported target "MKL::MKL" because another target
with the same name already exists.
Call Stack (most recent call first):
/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/public/mkl.cmake:1 (find_package) <-- this is from PyTorch
/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/Caffe2Config.cmake:106 (include)
/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:68 (find_package)
CMakeLists.txt:753 (find_package)
```
The conclusion is that, with mkl installed, there should be just one `find_package(Torch)` call because the mkl target is defined globally. The `torch` target, on the other hand, is only defined locally.
So, this change adds `if(NOT TARGET torch)` check to only call `find_package(Torch)` if needed.
### Testing
The change on top of #8322 looks like this f705b01https://github.com/pytorch/executorch/actions/runs/13278590926?pr=8399
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rebased the branch locally, fixed conflicts, and force-pushed. hopefully we should acutlaly have picked up #8407 and will be able to land soon.

Github Executorchand others added 3 commits February 12, 2025 11:34
Pull Request resolved: #7041
kernels/optimized doesn't need to support embedded systems, so it can just take a header-only dep on PyTorch.
Note that, because we will pick up Sleef internally and ignore it
externally thanks to ATen vec, this PR gets to enable optimized GELU in OSS.
Testing: CI to make sure this doesn't break mobile build modes; happy to take advice on anything not currently covered that might break.
ghstack-source-id: 265190627
@exported-using-ghexport
Differential Revision: [D66335522](https://our.internmc.facebook.com/intern/diff/D66335522/)
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