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https://github.com/open-mmlab/mmsegmentation.git
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26 lines
987 B
Python
26 lines
987 B
Python
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import warnings
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import torch.nn.functional as F
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def resize(input,
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size=None,
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scale_factor=None,
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mode='nearest',
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align_corners=None,
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warning=True):
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if warning:
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if size is not None and align_corners:
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input_h, input_w = input.shape[2:]
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output_h, output_w = size
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if output_h > input_h or output_w > output_h:
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if ((output_h > 1 and output_w > 1 and input_h > 1
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and input_w > 1) and (output_h - 1) % (input_h - 1)
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and (output_w - 1) % (input_w - 1)):
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warnings.warn(
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f'When align_corners={align_corners}, '
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'the output would more aligned if '
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f'input size {(input_h, input_w)} is `x+1` and '
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f'out size {(output_h, output_w)} is `nx+1`')
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return F.interpolate(input, size, scale_factor, mode, align_corners)
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