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Use devices.autocast instead of torch.autocast

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brkirch
2022-11-28 21:36:35 -05:00
parent 21effd629d
commit 4d5f1691dd
5 changed files with 6 additions and 11 deletions
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6
modules/swinir_model.py
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@@ -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