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authorAUTOMATIC1111 <16777216c@gmail.com>2022-10-04 12:20:10 +0000
committerGitHub <noreply@github.com>2022-10-04 12:20:10 +0000
commitbc4d457de82f76f8ab9f2bedf933c06deb5d5ba9 (patch)
tree969e0e595bd36987ae9de9ae302085ef555bba15 /modules/bsrgan_model.py
parentd5bba20a58f43a9f984bb67b4e17f48661f6b818 (diff)
parente9e2a7ec9ac704f133f586eb34176e388c93c87c (diff)
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Merge pull request #1616 from brkirch/cpu-cmdline-opt
Add --use-cpu command line option
Diffstat (limited to 'modules/bsrgan_model.py')
-rw-r--r--modules/bsrgan_model.py6
1 files changed, 3 insertions, 3 deletions
diff --git a/modules/bsrgan_model.py b/modules/bsrgan_model.py
index e62c6657..3bd80791 100644
--- a/modules/bsrgan_model.py
+++ b/modules/bsrgan_model.py
@@ -8,7 +8,7 @@ import torch
from basicsr.utils.download_util import load_file_from_url
import modules.upscaler
-from modules import shared, modelloader
+from modules import devices, modelloader
from modules.bsrgan_model_arch import RRDBNet
from modules.paths import models_path
@@ -44,13 +44,13 @@ class UpscalerBSRGAN(modules.upscaler.Upscaler):
model = self.load_model(selected_file)
if model is None:
return img
- model.to(shared.device)
+ model.to(devices.device_bsrgan)
torch.cuda.empty_cache()
img = np.array(img)
img = img[:, :, ::-1]
img = np.moveaxis(img, 2, 0) / 255
img = torch.from_numpy(img).float()
- img = img.unsqueeze(0).to(shared.device)
+ img = img.unsqueeze(0).to(devices.device_bsrgan)
with torch.no_grad():
output = model(img)
output = output.squeeze().float().cpu().clamp_(0, 1).numpy()