3fdd041cd7f4bd6fc877bac22b28448ae738033d,mmdet/models/backbones/resnet.py,BasicBlock,__init__,#BasicBlock#Any#Any#Any#Any#Any#Any#Any#Any#,26

Before Change

        super(BasicBlock, self).__init__()
        self.conv1 = conv3x3(inplanes, planes, stride, dilation)

        norm_layers = []
        norm_layers.append(build_norm_layer(normalize, planes))
        norm_layers.append(build_norm_layer(normalize, planes))
        self.norm_names = (["gn1", "gn2"] if normalize["type"] == "GN"
                           else ["bn1", "bn2"])
        for name, layer in zip(self.norm_names, norm_layers):
            self.add_module(name, layer)

        self.relu = nn.ReLU(inplace=True)
        self.conv2 = conv3x3(planes, planes)
        self.downsample = downsample
        self.stride = stride

After Change

        // build_norm_layer return: (norm_name, norm_layer)
        self.norm1, norm1 = build_norm_layer(normalize, planes, postfix=1)
        self.norm2, norm2 = build_norm_layer(normalize, planes, postfix=2)
        self.add_module(self.norm1, norm1)
        self.add_module(self.norm2, norm2)

        self.relu = nn.ReLU(inplace=True)
        self.conv2 = conv3x3(planes, planes)

Instances