2e7f747cdc99a5bc7e365b1b76edb4fdc26be4f1,pytorch/pytorchcv/models/others/oth_fractalnet_cifar10_2.py,FractalNet,forward,#FractalNet#Any#,207

Before Change

        global_cols = np.random.randint(0, self.n_columns, size=[GB])

        out = x
        for layer in self.layers:
            if isinstance(layer, FractalBlock):
                out = layer(out, global_cols)
            else:
                out = layer(out)

        return out


def oth_fractalnet_cifar10(pretrained=False, **kwargs):

After Change

        global_cols = np.random.randint(0, self.n_columns, size=[GB])

        x = self.features(x, global_cols=global_cols)
        x = x.view(x.size(0), -1)
        x = self.output(x)
        return x


def oth_fractalnet_cifar10(pretrained=False, **kwargs):

Instances