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[Quantized DeConv Support] Dynamically Quantized Deconvolutions with groups ==1 #11731
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…groups ==1 Here we support dynamically quantized Deconvolutions. There is some refactoring of the previous diff, but in general, we just remove the constraint in the Dynamism check that the convolution isn't transposed. For the same reasons as before, this only supports channel_axis = 1 and groups = 1. Differential Revision: [D76638904](https://our.internmc.facebook.com/intern/diff/D76638904/) [ghstack-poisoned]
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/11731
Note: Links to docs will display an error until the docs builds have been completed. ❌ 1 New Failure, 1 Unrelated FailureAs of commit 1befa96 with merge base 057558f ( NEW FAILURE - The following job has failed:
BROKEN TRUNK - The following job failed but were present on the merge base:👉 Rebase onto the `viable/strict` branch to avoid these failures
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This pull request was exported from Phabricator. Differential Revision: D76638904 |
This PR needs a
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…tions with groups ==1" Here we support dynamically quantized Deconvolutions. There is some refactoring of the previous diff, but in general, we just remove the constraint in the Dynamism check that the convolution isn't transposed. For the same reasons as before, this only supports channel_axis = 1 and groups = 1. Differential Revision: [D76638904](https://our.internmc.facebook.com/intern/diff/D76638904/) [ghstack-poisoned]
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This pull request was exported from Phabricator. Differential Revision: D76638904 |
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…groups ==1 (#11775) This PR was created by the merge bot to help merge the original PR into the main branch. ghstack PR number: #11731 by @mcr229 ^ 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/mcr229/32/base ghstack PR head: https://github.com/pytorch/executorch/tree/gh/mcr229/32/head Merge bot PR base: https://github.com/pytorch/executorch/tree/gh/mcr229/31/orig Merge bot PR head: https://github.com/pytorch/executorch/tree/gh/mcr229/32/orig @diff-train-skip-merge Co-authored-by: Max Ren <[email protected]>
…groups ==1 Pull Request resolved: #11731 Here we support dynamically quantized Deconvolutions. There is some refactoring of the previous diff, but in general, we just remove the constraint in the Dynamism check that the convolution isn't transposed. For the same reasons as before, this only supports channel_axis = 1 and groups = 1. ghstack-source-id: 291033632 @exported-using-ghexport Differential Revision: [D76638904](https://our.internmc.facebook.com/intern/diff/D76638904/)
…groups ==1 Pull Request resolved: pytorch/executorch#11731 Here we support dynamically quantized Deconvolutions. There is some refactoring of the previous diff, but in general, we just remove the constraint in the Dynamism check that the convolution isn't transposed. For the same reasons as before, this only supports channel_axis = 1 and groups = 1. ghstack-source-id: 291033632 @exported-using-ghexport Differential Revision: [D76638904](https://our.internmc.facebook.com/intern/diff/D76638904/)
Stack from ghstack (oldest at bottom):
Here we support dynamically quantized Deconvolutions.
There is some refactoring of the previous diff, but in general, we just remove the constraint in the Dynamism check that the convolution isn't transposed. For the same reasons as before, this only supports channel_axis = 1 and groups = 1.
Differential Revision: D76638904