59ce4322d7b774394099f8af0381d1020623d919,pytorch/pytorchcv/models/common.py,SEBlock,__init__,#SEBlock#Any#Any#Any#Any#,764

Before Change

            in_channels=mid_cannels,
            out_channels=channels,
            bias=True)
        self.sigmoid = HSigmoid() if approx_sigmoid else nn.Sigmoid()

    def forward(self, x):
        w = self.pool(x)
        w = self.conv1(w)

After Change

        kernel_size=3,
        stride=stride,
        padding=padding,
        dilation=dilation,
        groups=groups,
        bias=bias)


def depthwise_conv3x3(channels,
                      stride):
    
    Depthwise convolution 3x3 layer.

Instances