| """ Layer/Module Helpers | |
| Hacked together by / Copyright 2020 Ross Wightman | |
| """ | |
| from itertools import repeat | |
| import collections.abc | |
| # From PyTorch internals | |
| def _ntuple(n): | |
| def parse(x): | |
| if isinstance(x, collections.abc.Iterable) and not isinstance(x, str): | |
| return tuple(x) | |
| return tuple(repeat(x, n)) | |
| return parse | |
| to_1tuple = _ntuple(1) | |
| to_2tuple = _ntuple(2) | |
| to_3tuple = _ntuple(3) | |
| to_4tuple = _ntuple(4) | |
| to_ntuple = _ntuple | |
| def make_divisible(v, divisor=8, min_value=None, round_limit=.9): | |
| min_value = min_value or divisor | |
| new_v = max(min_value, int(v + divisor / 2) // divisor * divisor) | |
| # Make sure that round down does not go down by more than 10%. | |
| if new_v < round_limit * v: | |
| new_v += divisor | |
| return new_v | |
| def extend_tuple(x, n): | |
| # pads a tuple to specified n by padding with last value | |
| if not isinstance(x, (tuple, list)): | |
| x = (x,) | |
| else: | |
| x = tuple(x) | |
| pad_n = n - len(x) | |
| if pad_n <= 0: | |
| return x[:n] | |
| return x + (x[-1],) * pad_n | |