mirror of https://github.com/alibaba/EasyCV.git
48 lines
1.4 KiB
Python
48 lines
1.4 KiB
Python
# Copyright (c) Alibaba, Inc. and its affiliates.
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import torch.nn as nn
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import torch.nn.functional as F
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def conv_ws_2d(input,
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weight,
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bias=None,
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stride=1,
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padding=0,
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dilation=1,
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groups=1,
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eps=1e-5):
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c_in = weight.size(0)
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weight_flat = weight.view(c_in, -1)
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mean = weight_flat.mean(dim=1, keepdim=True).view(c_in, 1, 1, 1)
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std = weight_flat.std(dim=1, keepdim=True).view(c_in, 1, 1, 1)
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weight = (weight - mean) / (std + eps)
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return F.conv2d(input, weight, bias, stride, padding, dilation, groups)
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class ConvWS2d(nn.Conv2d):
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def __init__(self,
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in_channels,
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out_channels,
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kernel_size,
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stride=1,
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padding=0,
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dilation=1,
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groups=1,
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bias=True,
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eps=1e-5):
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super(ConvWS2d, self).__init__(
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in_channels,
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out_channels,
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kernel_size,
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stride=stride,
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padding=padding,
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dilation=dilation,
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groups=groups,
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bias=bias)
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self.eps = eps
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def forward(self, x):
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return conv_ws_2d(x, self.weight, self.bias, self.stride, self.padding,
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self.dilation, self.groups, self.eps)
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