Reapply: "relax tolerances for all unary float ops (#9585)", "Add SupportedTensorDtypes::BOOL (#9584)", new op_mul test (#11206) #11942
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
…portedTensorDtypes::BOOL (#9584)", new op_mul test (#11206) These were reverted because they were part of a stack with interenal test failures. Original #9585 summary: We were requiring ourselves to compute at double-precision, but ATen actually converts non-floating-point types to `float` by default, not `double`. Use the ATen tolerances everywhere. Original #9584 summary: none Original #11206 summary: This tests a possibly-surprising result: int8(100) * int8(100) with output type of long is 16 in ATen, even though the output type can hold 10000. Differential Revision: [D76754823](https://our.internmc.facebook.com/intern/diff/D76754823/) [ghstack-poisoned]
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/11942
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit 5c819bd with merge base 91c9ffa ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
facebook-github-bot
added
the
CLA Signed
|
This pull request was exported from Phabricator. Differential Revision: D76754823 |
kedarnath03
pushed a commit
to kedarnath03/executorch
that referenced
this pull request
Jun 25, 2025
…portedTensorDtypes::BOOL (#9584)", new op_mul test (#11206) These were reverted because they were part of a stack with interenal test failures. Original #9585 summary: We were requiring ourselves to compute at double-precision, but ATen actually converts non-floating-point types to `float` by default, not `double`. Use the ATen tolerances everywhere. Original #9584 summary: none Original #11206 summary: This tests a possibly-surprising result: int8(100) * int8(100) with output type of long is 16 in ATen, even though the output type can hold 10000. Differential Revision: [D76754823](https://our.internmc.facebook.com/intern/diff/D76754823/) ghstack-source-id: 292469055 Pull Request resolved: pytorch/executorch#11942
manuelcandales
approved these changes
Jun 25, 2025
facebook-github-bot
merged commit 5c676dc
into
gh/swolchok/473/base
98 of 101 checks passed
facebook-github-bot
temporarily deployed
to
cherry-pick-bot
GitHub Actions
Inactive
swolchok
added a commit
that referenced
this pull request
Jun 26, 2025
…portedTensorDtypes::BOOL (#9584)", new op_mul test (#11206) (#11976) This PR was created by the merge bot to help merge the original PR into the main branch. ghstack PR number: #11942 by @swolchok ^ 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/473/base ghstack PR head: https://github.com/pytorch/executorch/tree/gh/swolchok/473/head Merge bot PR base: https://github.com/pytorch/executorch/tree/main Merge bot PR head: https://github.com/pytorch/executorch/tree/gh/swolchok/473/orig @diff-train-skip-merge Co-authored-by: Scott Wolchok <[email protected]>
hinriksnaer
pushed a commit
to hinriksnaer/executorch
that referenced
this pull request
Jun 26, 2025
…Add SupportedTensorDtypes::BOOL (pytorch#9584)", new op_mul test (pytorch#11206) (pytorch#11976) This PR was created by the merge bot to help merge the original PR into the main branch. ghstack PR number: pytorch#11942 by @swolchok ^ 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/473/base ghstack PR head: https://github.com/pytorch/executorch/tree/gh/swolchok/473/head Merge bot PR base: https://github.com/pytorch/executorch/tree/main Merge bot PR head: https://github.com/pytorch/executorch/tree/gh/swolchok/473/orig @diff-train-skip-merge Co-authored-by: Scott Wolchok <[email protected]>
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Stack from ghstack (oldest at bottom):
These were reverted because they were part of a stack with interenal test failures.
Original #9585 summary:
We were requiring ourselves to compute at double-precision, but ATen
actually converts non-floating-point types to
floatby default, notdouble. Use the ATen tolerances everywhere.Original #9584 summary: none
Original #11206 summary:
This tests a possibly-surprising result: int8(100) * int8(100) with
output type of long is 16 in ATen, even though the output type can hold 10000.
Differential Revision: D76754823