Reapply: "relax tolerances for all unary float ops (#9585)", "Add SupportedTensorDtypes::BOOL (#9584)", new op_mul test (#11206)#11940
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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/11940
Note: Links to docs will display an error until the docs builds have been completed. ❌ 1 New Failure, 5 PendingAs of commit 7b1d115 with merge base 222d9e3 ( NEW FAILURE - The following job has failed:
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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