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-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 6fe8dea0..68bffec6 100644
--- a/modules/mac_specific.py
+++ b/modules/mac_specific.py
@@ -54,6 +54,6 @@ if has_mps:
CondFunc('torch.cumsum', cumsum_fix_func, None)
CondFunc('torch.Tensor.cumsum', cumsum_fix_func, None)
CondFunc('torch.narrow', lambda orig_func, *args, **kwargs: orig_func(*args, **kwargs).clone(), None)
- if version.parse(torch.__version__) == version.parse("2.0"):
+
# MPS workaround for https://github.com/pytorch/pytorch/issues/96113
- CondFunc('torch.nn.functional.layer_norm', lambda orig_func, x, normalized_shape, weight, bias, eps, **kwargs: orig_func(x.float(), normalized_shape, weight.float() if weight is not None else None, bias.float() if bias is not None else bias, eps).to(x.dtype), lambda *args, **kwargs: len(args) == 6)
+ CondFunc('torch.nn.functional.layer_norm', lambda orig_func, x, normalized_shape, weight, bias, eps, **kwargs: orig_func(x.float(), normalized_shape, weight.float() if weight is not None else None, bias.float() if bias is not None else bias, eps).to(x.dtype), lambda _, input, *args, **kwargs: len(args) == 4 and input.device.type == 'mps')