Enables bfloat16 x [float16, complex64, complex128] type promotion#43324
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Enables bfloat16 x [float16, complex64, complex128] type promotion#43324
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gchanan
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Aug 20, 2020
| self.assertEqual((bf + scalar).dtype, torch.bfloat16) | ||
| self.assertEqual((scalar + bf).dtype, torch.bfloat16) | ||
| self.assertEqual(scalar + bf, bf + scalar) | ||
| with self.assertRaises(RuntimeError): |
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can you add a complex scalar to the for loop above? That seems to capture the intent of this test.
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Good idea. I also simplified the loop.
gchanan
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Aug 20, 2020
| self.assertEqual(bf + t, t + bf) | ||
| if dtype in (torch.float16, torch.float32, torch.float64, torch.cfloat, torch.cdouble): | ||
| # Handles bfloat16 x float16 -> float32 promotion | ||
| expected_dtype = dtype if dtype != torch.half else torch.float32 |
gchanan
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August 20, 2020 20:28
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💊 CI failures summary and remediationsAs of commit f4922f4 (more details on the Dr. CI page):
🕵️ 1 new failure recognized by patternsThe following CI failures do not appear to be due to upstream breakages:
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…ytorch#43324) Summary: Implements bfloat16 type promotion consistent with JAX (see https://jax.readthedocs.io/en/latest/type_promotion.html), addressing issue pytorch#43049. - bfloat16 x float16 -> float32 - bfloat16 x complex64 -> complex64 - bfloat16 x complex128 -> complex128 Existing tests, after updates, are sufficient to validate the new behavior. cc xuhdev Pull Request resolved: pytorch#43324 Reviewed By: albanD Differential Revision: D23259823 Pulled By: mruberry fbshipit-source-id: ca9c2c7d0325faced1f884f3c37edf8fa8c8b089
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Implements bfloat16 type promotion consistent with JAX (see https://jax.readthedocs.io/en/latest/type_promotion.html), addressing issue #43049.
Existing tests, after updates, are sufficient to validate the new behavior.
cc @xuhdev