Nikita Shulga 8de0d7690c Use newer toAccumulateType signature in Normalization.cpp (#134540) ... Which fixes BatchNorm behavior for if called with empty tensors on MPS backed. Removed `expectedFailureMPS` in test_nn.py, deleted expected failure in `test_mps.py` and adjusted `skipIfMPS` to `expectedFailureMPS` in BatchNorm2d OpInfo decorator, but restrict it only to the memory format tests Test Plan: CI + `python3 -c "import torch; print(torch.nn.BatchNorm2d(3, device='mps')(torch.rand(0, 3, 2, 2, device='mps')))"` Fixes https://github.com/pytorch/pytorch/issues/134423 Pull Request resolved: https://github.com/pytorch/pytorch/pull/134540 Approved by: https://github.com/Skylion007, https://github.com/albanD		2024-08-27 18:09:20 +00:00
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_internal	Use newer toAccumulateType signature in Normalization.cpp (#134540)	2024-08-27 18:09:20 +00:00
__init__.py	[BE][Easy][19/19] enforce style for empty lines in import segments in torch/[o-z]*/ (#129771)	2024-08-01 17:07:14 +00:00
_comparison.py	Strict shape checking for NJTs with TestCase.assertEqual() (#131898)	2024-07-30 20:05:48 +00:00
_creation.py	[BE][Easy][19/19] enforce style for empty lines in import segments in torch/[o-z]*/ (#129771)	2024-08-01 17:07:14 +00:00
_utils.py	[BE][Easy][19/19] enforce style for empty lines in import segments in torch/[o-z]*/ (#129771)	2024-08-01 17:07:14 +00:00