diff options
| author | brkirch <brkirch@users.noreply.github.com> | 2022-10-25 02:01:57 -0400 |
|---|---|---|
| committer | AUTOMATIC1111 <16777216c@gmail.com> | 2022-10-25 09:42:53 +0300 |
| commit | faed465a0b1a7d19669568738c93e04907c10415 (patch) | |
| tree | 912274ef626bababc846ee9849bc4b390e968c44 /modules/devices.py | |
| parent | 4c24347e45776d505937856ab280548d9298f0a8 (diff) | |
MPS Upscalers Fix
Get ESRGAN, SCUNet, and SwinIR working correctly on MPS by ensuring memory is contiguous for tensor views before sending to MPS device.
Diffstat (limited to 'modules/devices.py')
| -rw-r--r-- | modules/devices.py | 4 |
1 files changed, 4 insertions, 0 deletions
diff --git a/modules/devices.py b/modules/devices.py index 033a42d5..7511e1dc 100644 --- a/modules/devices.py +++ b/modules/devices.py @@ -81,3 +81,7 @@ def autocast(disable=False): return contextlib.nullcontext() return torch.autocast("cuda") + +# MPS workaround for https://github.com/pytorch/pytorch/issues/79383 +def mps_contiguous(input_tensor, device): return input_tensor.contiguous() if device.type == 'mps' else input_tensor +def mps_contiguous_to(input_tensor, device): return mps_contiguous(input_tensor, device).to(device) |