7b3d8ddb7961c7704c13524fdd0a789da41bd1c7,pytorch/pytorchcv/models/others/oth_msdnet2.py,Transition,__init__,#Transition#Any#Any#Any#Any#Any#,493

Before Change

        super(Transition, self).__init__()

        // Define a parallel stream for the different scales
        self.scale_nets = nn.ModuleList()
        for i in range(out_scales):
            in_channels_i = in_channels * growth_factor[offset + i]
            out_channels_i = out_channels * growth_factor[offset + i]
            self.scale_nets.append(conv1x1_block(

After Change

        for i in range(out_scales):
            in_channels_i = in_channels * growth_factor[offset + i]
            out_channels_i = out_channels * growth_factor[offset + i]
            self.scale_blocks.add_module("scale_block{}".format(i + 1), conv1x1_block(
                in_channels=in_channels_i,
                out_channels=out_channels_i,
                bias=True))

Instances