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How to transform pyinnn Conv2dDepthWise to pytorch same api? #21

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lucasjinreal opened this issue Nov 4, 2018 · 1 comment
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@lucasjinreal
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I got some old codes have Conv2dDepthWise in pyinn, how to change it to newest pytorch api?

@lucasjinreal
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from pyinn.modules import Conv2dDepthwise

class BasicSepConv(nn.Module):

    def __init__(self, in_planes, kernel_size, stride=1, padding=0, dilation=1, groups=1, relu=True, bn=True,
                 bias=False):
        super(BasicSepConv, self).__init__()
        self.out_channels = in_planes

        self.conv = Conv2dDepthwise(in_planes, kernel_size=kernel_size, stride=stride, padding=padding,
                                    dilation=dilation, bias=bias)
        self.bn = nn.BatchNorm2d(in_planes, eps=1e-5, momentum=0.01, affine=True) if bn else None
        self.relu = nn.ReLU(inplace=True) if relu else None

    def forward(self, x):
        x = self.conv(x)
        if self.bn is not None:
            x = self.bn(x)
        if self.relu is not None:
            x = self.relu(x)
        return x

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