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authorAUTOMATIC1111 <16777216c@gmail.com>2023-05-11 18:25:15 +0000
committerGitHub <noreply@github.com>2023-05-11 18:25:15 +0000
commitabe32cefa39dee36d7f661d4e63c28ea8dd60c4f (patch)
tree1f1d817b59b49c6d3944c959151ce4c67d9041da /modules/mac_specific.py
parentb4aaa339d529c81859858f0bedcc72b44fccd3d0 (diff)
parent49a55b410b66b7dd9be9335d8a2e3a71e4f8b15c (diff)
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Merge pull request #10285 from akx/ruff-spacing
Indentation + ruff whitespace fixes
Diffstat (limited to 'modules/mac_specific.py')
-rw-r--r--modules/mac_specific.py4
1 files changed, 2 insertions, 2 deletions
diff --git a/modules/mac_specific.py b/modules/mac_specific.py
index 5c2f92a1..d74c6b95 100644
--- a/modules/mac_specific.py
+++ b/modules/mac_specific.py
@@ -42,7 +42,7 @@ if has_mps:
# MPS workaround for https://github.com/pytorch/pytorch/issues/79383
CondFunc('torch.Tensor.to', lambda orig_func, self, *args, **kwargs: orig_func(self.contiguous(), *args, **kwargs),
lambda _, self, *args, **kwargs: self.device.type != 'mps' and (args and isinstance(args[0], torch.device) and args[0].type == 'mps' or isinstance(kwargs.get('device'), torch.device) and kwargs['device'].type == 'mps'))
- # MPS workaround for https://github.com/pytorch/pytorch/issues/80800
+ # MPS workaround for https://github.com/pytorch/pytorch/issues/80800
CondFunc('torch.nn.functional.layer_norm', lambda orig_func, *args, **kwargs: orig_func(*([args[0].contiguous()] + list(args[1:])), **kwargs),
lambda _, *args, **kwargs: args and isinstance(args[0], torch.Tensor) and args[0].device.type == 'mps')
# MPS workaround for https://github.com/pytorch/pytorch/issues/90532
@@ -60,4 +60,4 @@ if has_mps:
# MPS workaround for https://github.com/pytorch/pytorch/issues/92311
if platform.processor() == 'i386':
for funcName in ['torch.argmax', 'torch.Tensor.argmax']:
- CondFunc(funcName, lambda _, input, *args, **kwargs: torch.max(input.float() if input.dtype == torch.int64 else input, *args, **kwargs)[1], lambda _, input, *args, **kwargs: input.device.type == 'mps') \ No newline at end of file
+ CondFunc(funcName, lambda _, input, *args, **kwargs: torch.max(input.float() if input.dtype == torch.int64 else input, *args, **kwargs)[1], lambda _, input, *args, **kwargs: input.device.type == 'mps')