d2b634744401fff8166fed16f47e3be9be94cd6d,modules.py,glimpse_sensor,denormalize,#glimpse_sensor#,67

Before Change

    def denormalize(self, T, coords):
        x_original = torch.mul(coords[:, 0], int(T/2)) + int((T/2))
        y_original = torch.mul(coords[:, 1], int(T/2)) + int((T/2))
        return torch.stack([x_original, y_original]).long()

    def extract_single_patch(self, x, center, size):
        
        Extract a single patch for each image in the minibatch

After Change

        coordinates in the range [0, T] where T is
        the size of the image.
        
        return (0.5 * ((coords + 1.0) * T)).long()

    def normalize(self, T, coords):
        
        Convert coordinates in the range [0, T] to

Instances