520e8fb57b890a7249334d9e90c9ad209d0b849f,modules.py,retina,foveate,#retina#Any#Any#,42

Before Change

            size = int(self.s * size)

        // resize the patches to squares of size g
        phi = [p.numpy() for p in phi]
        phi = [
            resize_array(p, self.g) if p.shape[1] != self.g
            else np.expand_dims(p, 1) for p in phi
        ]

        // concatenate into a single tensor
        phi = Variable(torch.from_numpy(np.concatenate(phi, 1)))

After Change

        // concatenate into a single tensor and flatten
        phi = torch.cat(phi, 1)
        phi = phi.view(phi.shape[0], -1)

        return phi

    def extract_patch(self, x, l, size):

Instances