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from typing import List
from torch._six import container_abcs
from itertools import repeat
def _ntuple(n):
def parse(x):
if isinstance(x, container_abcs.Iterable):
return x
return tuple(repeat(x, n))
return parse
_single = _ntuple(1)
_pair = _ntuple(2)
_triple = _ntuple(3)
_quadruple = _ntuple(4)
def _reverse_repeat_tuple(t, n):
r"""Reverse the order of `t` and repeat each element for `n` times.
This can be used to translate padding arg used by Conv and Pooling modules
to the ones used by `F.pad`.
"""
return tuple(x for x in reversed(t) for _ in range(n))
def _list_with_default(out_size, defaults):
# type: (List[int], List[int]) -> List[int]
if isinstance(out_size, int):
return out_size
if len(defaults) <= len(out_size):
raise ValueError('Input dimension should be at least {}'.format(len(out_size) + 1))
return [v if v is not None else d for v, d in zip(out_size, defaults[-len(out_size):])]
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