314c5bd86e593b5e9720bc7fd943a86866358c2a,gpflow/transforms.py,LowerTriangular,backward,#LowerTriangular#Any#,303

Before Change

        
        N = int((y.size / self.num_matrices) ** 0.5)
        y = np.reshape(y, (N, N, self.num_matrices))
        return y[np.tril_indices(len(y), 0)].T.flatten()

    def forward_tensor(self, x):
        fwd = tf.transpose(vec_to_tri(tf.reshape(x, (self.num_matrices, -1)), self.N), [1, 2, 0])

After Change

        Returns:
            Free state.
        
        N = int(np.sqrt(y.size / self.num_matrices))
        reshaped = np.reshape(y, (N, N, self.num_matrices))
        size = len(reshaped)
        triangular = reshaped[np.tril_indices(size, 0)].T
        return triangular

    def forward_tensor(self, x):
        reshaped = tf.reshape(x, (self.num_matrices, -1))
        fwd = tf.transpose(vec_to_tri(reshaped, self.N), [1, 2, 0])

Instances