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Update XNN delegate to handle non-decomposed upsample ops #7770
Update XNN delegate to handle non-decomposed upsample ops #7770
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/7770
Note: Links to docs will display an error until the docs builds have been completed. ❌ 1 New FailureAs of commit 4d85c0f with merge base fedb035 ( NEW FAILURE - The following job has failed:
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This pull request was exported from Phabricator. Differential Revision: D68374352 |
Summary: Pull Request resolved: pytorch#7770 Differential Revision: D68374352
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This pull request was exported from Phabricator. Differential Revision: D68374352 |
Summary: I'm preparing to disable decomposition by default for core upsample ops in pytorch/pytorch#141791. This PR makes changes to ExecuTorch to handle non-decomposed upsample_bilinear2d. There are tests that expect the decomposition when not delegated, as well as a recomposition pass in the XNNPACK delegate which need updates to function. The changes in this PR are intended to work with both the decomposed and non-decomposed upsample ops. After the decomposition change lands in PyTorch, I will clean up the remaining ExecuTorch usages. Differential Revision: D68374352
a6a3f93
to
cde514e
Compare
This pull request was exported from Phabricator. Differential Revision: D68374352 |
Summary: I'm preparing to disable decomposition by default for core upsample ops in pytorch/pytorch#141791. This PR makes changes to ExecuTorch to handle non-decomposed upsample_bilinear2d. There are tests that expect the decomposition when not delegated, as well as a recomposition pass in the XNNPACK delegate which need updates to function. The changes in this PR are intended to work with both the decomposed and non-decomposed upsample ops. After the decomposition change lands in PyTorch, I will clean up the remaining ExecuTorch usages. Differential Revision: D68374352
cde514e
to
4d85c0f
Compare
This pull request was exported from Phabricator. Differential Revision: D68374352 |
Differential Revision: D68374352 Pull Request resolved: #7770
Differential Revision: D68374352 Pull Request resolved: pytorch#7770
Differential Revision: D68374352
I'm preparing to disable decomposition by default for core upsample ops in pytorch/pytorch#141791. This PR makes changes to ExecuTorch to handle non-decomposed upsample_bilinear2d. There are tests that expect the decomposition when not delegated, as well as a recomposition pass in the XNNPACK delegate which need updates to function.
The changes in this PR are intended to work with both the decomposed and non-decomposed upsample ops. After the decomposition change lands in PyTorch, I will clean up the remaining ExecuTorch usages.