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authorAUTOMATIC1111 <16777216c@gmail.com>2023-05-18 07:12:17 +0000
committerGitHub <noreply@github.com>2023-05-18 07:12:17 +0000
commit182330ae40c93b761fced8d03bbdd8523f1739d0 (patch)
treec95f2e531cc34475eb39266add6d12a2a5e1e2b3 /modules/mac_specific.py
parent0d31f20cbd556ea4ba3d8ad9254bcce71c32088c (diff)
parent983f2c494ad8fed2f08193681ba0bf5dda01555a (diff)
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Merge branch 'dev' into ngrok-py
Diffstat (limited to 'modules/mac_specific.py')
-rw-r--r--modules/mac_specific.py5
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')