From faed465a0b1a7d19669568738c93e04907c10415 Mon Sep 17 00:00:00 2001 From: brkirch Date: Tue, 25 Oct 2022 02:01:57 -0400 Subject: 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. --- modules/devices.py | 4 ++++ 1 file changed, 4 insertions(+) (limited to 'modules/devices.py') 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) -- cgit v1.2.1