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https://github.com/zebrajr/pytorch.git
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ddda7cfea5
* allow output_size to contain None in adaptive pooling methods * fix lint * address comments
24 lines
618 B
Python
24 lines
618 B
Python
import collections
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from itertools import repeat
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def _ntuple(n):
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def parse(x):
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if isinstance(x, collections.Iterable):
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return x
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return tuple(repeat(x, n))
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return parse
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_single = _ntuple(1)
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_pair = _ntuple(2)
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_triple = _ntuple(3)
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_quadruple = _ntuple(4)
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def _list_with_default(out_size, defaults):
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if isinstance(out_size, int):
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return out_size
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if len(defaults) <= len(out_size):
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raise ValueError('Input dimension should be at least {}'.format(len(out_size) + 1))
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return [v if v is not None else d for v, d in zip(out_size, defaults[-len(out_size):])]
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