Made device agnostic
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@ -110,7 +110,8 @@ class LDSR:
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down_sample_method = 'Lanczos'
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gc.collect()
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torch.cuda.empty_cache()
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if torch.cuda.is_available:
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torch.cuda.empty_cache()
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im_og = image
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width_og, height_og = im_og.size
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@ -147,7 +148,9 @@ class LDSR:
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del model
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gc.collect()
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torch.cuda.empty_cache()
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if torch.cuda.is_available:
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torch.cuda.empty_cache()
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return a
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@ -162,7 +165,7 @@ def get_cond(selected_path):
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c = rearrange(c, '1 c h w -> 1 h w c')
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c = 2. * c - 1.
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c = c.to(torch.device("cuda"))
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c = c.to(shared.device)
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example["LR_image"] = c
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example["image"] = c_up
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