9 lines
442 B
Python
9 lines
442 B
Python
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import torch
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def pad_to_patch_size(img, patch_size=(2, 2), padding_mode="circular"):
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if padding_mode == "circular" and torch.jit.is_tracing() or torch.jit.is_scripting():
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padding_mode = "reflect"
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pad_h = (patch_size[0] - img.shape[-2] % patch_size[0]) % patch_size[0]
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pad_w = (patch_size[1] - img.shape[-1] % patch_size[1]) % patch_size[1]
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return torch.nn.functional.pad(img, (0, pad_w, 0, pad_h), mode=padding_mode)
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