55d342a0d0e44f3420877a8e9452adba7933ae72,gpflow/kernels/stationaries.py,Stationary,scaled_square_dist,#Stationary#Any#Any#,38

Before Change

        if X2 is None:
            dist = -2 * tf.linalg.matmul(X, X, transpose_b=True)
            dist += tf.reshape(Xs, (-1, 1)) + tf.reshape(Xs, (1, -1))
            return dist

        X2 = X2 / self.lengthscale

After Change

            dist += Xs + tf.linalg.transpose(Xs)
            return dist

        Xs = tf.reduce_sum(tf.square(X), axis=-1)
        X2 = X2 / self.lengthscale
        X2s = tf.reduce_sum(tf.square(X2), axis=-1)
        dist = -2 * tf.tensordot(X, X2, [[-1], [-1]])
        dist += broadcasting_elementwise(tf.add, Xs, X2s)

Instances