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05e06f7de2
Summary: Implementing #10540. Pull Request resolved: https://github.com/pytorch/pytorch/pull/11515 Reviewed By: apaszke Differential Revision: D9771045 Pulled By: jeffreyksmithjr fbshipit-source-id: 85ea39abaa9b465805a969f122b626b11fc85ef6
24 lines
640 B
Python
24 lines
640 B
Python
from torch._six import container_abcs
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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, container_abcs.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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