Reapply: "relax tolerances for all unary float ops (#9585)", "Add SupportedTensorDtypes::BOOL (#9584)", new op_mul test (#11206)#11942
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…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
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…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
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…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 <swolchok@meta.com>
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…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 <swolchok@meta.com>
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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