acc533ac66fa4d19420a36006ece53a440d03761,gpflow/conditionals/util.py,,fully_correlated_conditional_repeat,#,219

Before Change

        elif q_sqrt.get_shape().ndims == 2:  // pragma: no cover
            raise NotImplementedError("Does not support diagonal q_sqrt yet...")
        else:  // pragma: no cover
            raise ValueError("Bad dimension for q_sqrt: %s" %
                             str(q_sqrt.get_shape().ndims))

        if full_cov and full_output_cov:
            addvar = tf.matmul(LTA, LTA, transpose_a=True)  // R x NK x NK
            fvar = fvar[None, :, :, :, :] + tf.reshape(addvar, (R, N, K, N, K))

After Change

        elif q_sqrt.shape.ndims == 2:  // pragma: no cover
            raise NotImplementedError("Does not support diagonal q_sqrt yet...")
        else:  // pragma: no cover
            raise ValueError(f"Bad dimension for q_sqrt: {q_sqrt.shape.ndims}")

        if full_cov and full_output_cov:
            addvar = tf.matmul(LTA, LTA, transpose_a=True)  // R x NK x NK
            fvar = fvar[None, :, :, :, :] + tf.reshape(addvar, (R, N, K, N, K))

Instances