def METHOD_NAME(self):
    initialize_layers = [
        x for j in [
            self.classifier, self.noise_regression, self.blur_regression,
            self.compression_regression, self.bright_regression,
            self.color_regression
        ] for x in j
    ]
    for m in initialize_layers:
        if isinstance(m, nn.Conv2d):
            nn.init.xavier_uniform_(m.weight.data)
            if m.bias is not None:
                m.bias.data.zero_()