58e8ae4db6624b2ef6a8cbc08398828eb306ce9d,pytorch/pytorchcv/models/others/oth_msdnet2.py,MSDLayer,convolve,#MSDLayer#Any#Any#Any#Any#Any#,351

Before Change

            raise NotImplementedError

        conv.add_module("BN_out", nn.BatchNorm2d(out_channels))
        conv.add_module("ReLU_out", nn.ReLU(inplace=True))
        return conv

    def forward(self, x):

After Change

        // Bottleneck before the convolution
        if bottleneck:
            tmp_channels = int(min([in_channels, bn_width * out_channels]))
            conv.add_module("Bottleneck", conv1x1_block(
                in_channels=in_channels,
                out_channels=tmp_channels,
                bias=True))

        if conv_type == "normal":
            conv.add_module("Spatial_forward", conv3x3_block(

Instances