Digant Desai b2054d3025 Prepare for an update to the XNNPACK submodule (#72642) ... Summary: - Target Sha1: ae108ef49aa5623b896fc93d4298c49d1750d9ba - Make USE_XNNPACK a dependent option on cmake minimum version 3.12 - Print USE_XNNPACK under cmake options summary, and print the availability from collet_env.py - Skip XNNPACK based tests when XNNPACK is not available - Add SkipIfNoXNNPACK wrapper to skip tests - Update cmake version for xenial-py3.7-gcc5.4 image to 3.12.4 - This is required for the backwards compatibility test. The PyTorch op schema is XNNPACK dependent. See, aten/src/ATen/native/xnnpack/RegisterOpContextClass.cpp for example. The nightly version is assumed to have USE_XNNPACK=ON, so with this change we ensure that the test build can also have XNNPACK. - HACK: skipping test_xnnpack_integration tests on ROCM Pull Request resolved: https://github.com/pytorch/pytorch/pull/72642 Reviewed By: kimishpatel Differential Revision: D34456794 Pulled By: digantdesai fbshipit-source-id: 85dbfe0211de7846d8a84321b14fdb061cd6c037 (cherry picked from commit 6cf48e7b64d6979962d701b5d493998262cc8bfa)		2022-02-25 00:39:15 +00:00
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_internal	Prepare for an update to the XNNPACK submodule (#72642)	2022-02-25 00:39:15 +00:00
__init__.py	refactor assert_close to be more modular (#67794)	2021-11-19 12:37:16 -08:00
_comparison.py	only compare attributes for meta tensors (#72508)	2022-02-17 02:33:08 +00:00
_core.py	use torch.testing.assert_equal in TestCase.assertEqual (#67796)	2022-01-27 08:33:55 +00:00
_creation.py	disallow requires_grad=True in make_tensor for integral inputs (#67149)	2021-10-26 16:19:28 -07:00
_deprecated.py	change sparse COO comparison strategy in assert_close (#68728)	2022-01-12 06:43:50 -08:00
_legacy.py	Check if the iterator is valid before dereferencing it (#72405)	2022-02-23 18:33:46 +00:00