From 4d5f1691dda971ec7b461dd880426300fd54ccee Mon Sep 17 00:00:00 2001 From: brkirch Date: Mon, 28 Nov 2022 21:36:35 -0500 Subject: Use devices.autocast instead of torch.autocast --- modules/swinir_model.py | 6 +----- 1 file changed, 1 insertion(+), 5 deletions(-) (limited to 'modules/swinir_model.py') 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 -- cgit v1.2.3