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https://github.com/zebrajr/pytorch.git
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46ed3349f3
Summary: Also move the ignores for imports to the bottom in `mypy.ini`, those are much less interesting - start with the stuff people want to work on. Second commit tests the instructions: remove an ignore, fix the issue. Pull Request resolved: https://github.com/pytorch/pytorch/pull/37594 Differential Revision: D21434858 Pulled By: ezyang fbshipit-source-id: 4f1a6868cdb4cb59d072bcf105f48c3a5ba3ff98
50 lines
1.2 KiB
Python
50 lines
1.2 KiB
Python
from .module import Module
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from .. import functional as F
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class ChannelShuffle(Module):
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r"""Divide the channels in a tensor of shape :math:`(*, C , H, W)`
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into g groups and rearrange them as :math:`(*, C \frac g, g, H, W)`,
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while keeping the original tensor shape.
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Args:
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groups (int): number of groups to divide channels in.
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Examples::
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>>> channel_shuffle = nn.ChannelShuffle(2)
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>>> input = torch.randn(1, 4, 2, 2)
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>>> print(input)
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[[[[1, 2],
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[3, 4]],
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[[5, 6],
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[7, 8]],
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[[9, 10],
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[11, 12]],
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[[13, 14],
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[15, 16]],
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]]
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>>> output = channel_shuffle(input)
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>>> print(output)
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[[[[1, 2],
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[3, 4]],
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[[9, 10],
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[11, 12]],
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[[5, 6],
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[7, 8]],
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[[13, 14],
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[15, 16]],
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]]
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"""
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__constants__ = ['groups']
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def __init__(self, groups):
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super(ChannelShuffle, self).__init__()
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self.groups = groups
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def forward(self, input):
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return F.channel_shuffle(input, self.groups)
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def extra_repr(self):
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return 'groups={}'.format(self.groups)
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