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-rw-r--r--modules/mac_specific.py5
1 files changed, 5 insertions, 0 deletions
diff --git a/modules/mac_specific.py b/modules/mac_specific.py
index 18e6ff72..3a170f60 100644
--- a/modules/mac_specific.py
+++ b/modules/mac_specific.py
@@ -1,4 +1,5 @@
import torch
+import platform
from modules import paths
from modules.sd_hijack_utils import CondFunc
from packaging import version
@@ -32,6 +33,10 @@ if has_mps:
# MPS fix for randn in torchsde
CondFunc('torchsde._brownian.brownian_interval._randn', lambda _, size, dtype, device, seed: torch.randn(size, dtype=dtype, device=torch.device("cpu"), generator=torch.Generator(torch.device("cpu")).manual_seed(int(seed))).to(device), lambda _, size, dtype, device, seed: device.type == 'mps')
+ if platform.mac_ver()[0].startswith("13.2."):
+ # MPS workaround for https://github.com/pytorch/pytorch/issues/95188, thanks to danieldk (https://github.com/explosion/curated-transformers/pull/124)
+ CondFunc('torch.nn.functional.linear', lambda _, input, weight, bias: (torch.matmul(input, weight.t()) + bias) if bias is not None else torch.matmul(input, weight.t()), lambda _, input, weight, bias: input.numel() > 10485760)
+
if version.parse(torch.__version__) < version.parse("1.13"):
# PyTorch 1.13 doesn't need these fixes but unfortunately is slower and has regressions that prevent training from working