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author | AUTOMATIC1111 <16777216c@gmail.com> | 2022-12-03 09:58:08 +0300 |
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committer | GitHub <noreply@github.com> | 2022-12-03 09:58:08 +0300 |
commit | a2feaa95fc0c4c94131eb75b5b1bc0eaa1696551 (patch) | |
tree | a7be0e8b6849aae24f7f6c7879f7ddf43d118425 /modules/swinir_model.py | |
parent | c7af672186ec09a514f0e78aa21155264e56c130 (diff) | |
parent | 0fddb4a1c06a6e2122add7eee3b001a6d473baee (diff) |
Merge pull request #5194 from brkirch/autocast-and-mps-randn-fixes
Use devices.autocast() and fix MPS randn issues
Diffstat (limited to 'modules/swinir_model.py')
-rw-r--r-- | modules/swinir_model.py | 6 |
1 files changed, 1 insertions, 5 deletions
diff --git a/modules/swinir_model.py b/modules/swinir_model.py index facd262d..483eabd4 100644 --- a/modules/swinir_model.py +++ b/modules/swinir_model.py @@ -13,10 +13,6 @@ from modules.swinir_model_arch import SwinIR as net from modules.swinir_model_arch_v2 import Swin2SR as net2 from modules.upscaler import Upscaler, UpscalerData -precision_scope = ( - torch.autocast if cmd_opts.precision == "autocast" else contextlib.nullcontext -) - class UpscalerSwinIR(Upscaler): def __init__(self, dirname): @@ -112,7 +108,7 @@ def upscale( img = np.moveaxis(img, 2, 0) / 255 img = torch.from_numpy(img).float() img = img.unsqueeze(0).to(devices.device_swinir) - with torch.no_grad(), precision_scope("cuda"): + with torch.no_grad(), devices.autocast(): _, _, h_old, w_old = img.size() h_pad = (h_old // window_size + 1) * window_size - h_old w_pad = (w_old // window_size + 1) * window_size - w_old |