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author | unknown <mcgpapu@gmail.com> | 2022-12-25 08:03:55 +0000 |
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committer | unknown <mcgpapu@gmail.com> | 2022-12-25 08:03:55 +0000 |
commit | 876da1259965130603f2a7fea505cfa0fce09e2e (patch) | |
tree | ccb8b89d64480a4bd224b311702ffeb13b8fe754 /modules/devices.py | |
parent | d6fdfde9d70f1b86b696240fb0a0c8f2a4d024f6 (diff) | |
parent | c6f347b81f584b6c0d44af7a209983284dbb52d2 (diff) | |
download | stable-diffusion-webui-gfx803-876da1259965130603f2a7fea505cfa0fce09e2e.tar.gz stable-diffusion-webui-gfx803-876da1259965130603f2a7fea505cfa0fce09e2e.tar.bz2 stable-diffusion-webui-gfx803-876da1259965130603f2a7fea505cfa0fce09e2e.zip |
Merge branch 'master' of github.com:AUTOMATIC1111/stable-diffusion-webui
Diffstat (limited to 'modules/devices.py')
-rw-r--r-- | modules/devices.py | 9 |
1 files changed, 9 insertions, 0 deletions
diff --git a/modules/devices.py b/modules/devices.py index f8cffae1..800510b7 100644 --- a/modules/devices.py +++ b/modules/devices.py @@ -125,7 +125,16 @@ def layer_norm_fix(*args, **kwargs): return orig_layer_norm(*args, **kwargs) +# MPS workaround for https://github.com/pytorch/pytorch/issues/90532 +orig_tensor_numpy = torch.Tensor.numpy +def numpy_fix(self, *args, **kwargs): + if self.requires_grad: + self = self.detach() + return orig_tensor_numpy(self, *args, **kwargs) + + # PyTorch 1.13 doesn't need these fixes but unfortunately is slower and has regressions that prevent training from working if has_mps() and version.parse(torch.__version__) < version.parse("1.13"): torch.Tensor.to = tensor_to_fix torch.nn.functional.layer_norm = layer_norm_fix + torch.Tensor.numpy = numpy_fix |