class ConvTranspose2d(nn.ConvTranspose2d):
 
    def __init__(self, in_channels, out_channels, kernel_size, stride=1,
                 padding=0, output_padding=1, groups=1, bias=True, dilation=1):
        super(ConvTranspose2d, self).__init__(in_channels, out_channels, kernel_size, stride,
                 padding, output_padding, groups, bias, dilation)
 
    def forward(self, x):
        weight = self.weight
        weight_mean = weight.mean(dim=1, keepdim=True).mean(dim=2,
                                  keepdim=True).mean(dim=3, keepdim=True)
        weight = weight - weight_mean
        std = weight.view(weight.size(0), -1).std(dim=1).view(-1, 1, 1, 1) + 1e-5
        weight = weight / std.expand_as(weight)
        return F.conv_transpose2d(x, weight, self.bias, self.stride,
                        self.padding, self.output_padding, self.groups, self.dilation)

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