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| author | AUTOMATIC <16777216c@gmail.com> | 2023-05-21 17:37:09 +0300 |
|---|---|---|
| committer | AUTOMATIC <16777216c@gmail.com> | 2023-05-21 17:37:09 +0300 |
| commit | 1f3182924ba8e70d0e0fc3ed270782f324376ba3 (patch) | |
| tree | 27a9e5167e5b981dfe56f5084ea8e1e8743f3fc0 /modules/mac_specific.py | |
| parent | 89f9faa63388756314e8a1d96cf86bf5e0663045 (diff) | |
| parent | fdaf0147b6d2a5f599464bb7c65817ef5832eff1 (diff) | |
Merge branch 'dev' into release_candidate
Diffstat (limited to 'modules/mac_specific.py')
| -rw-r--r-- | modules/mac_specific.py | 5 |
1 files changed, 2 insertions, 3 deletions
diff --git a/modules/mac_specific.py b/modules/mac_specific.py index 40ce2101..d74c6b95 100644 --- a/modules/mac_specific.py +++ b/modules/mac_specific.py @@ -1,6 +1,5 @@ import torch import platform -from modules import paths from modules.sd_hijack_utils import CondFunc from packaging import version @@ -43,7 +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 @@ -61,4 +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') |