be14d17696f15d11a8075e4943c718320ca97a45,gpflow/conditionals/mo_sample_conditionals.py,,_sample_conditional,#Any#Any#Any#Any#,13

Before Change

    g_mu, g_var = independent_cond(Xnew, feat, kern, f, white=white, q_sqrt=q_sqrt,
                                   full_output_cov=False, full_cov=False)  // [N, L], [N, L]
    g_sample = sample_mvn(g_mu, g_var, "diag")  // [N, L]
    f_sample = tf.einsum("pl, nl -> np", kern.W(), g_sample)
    return f_sample

After Change

    logger.debug("(MixedKernelSharedMof, MixedKernelSeparateMof), SeparateMixedMok")
    if full_cov:
        raise NotImplementedError("full_cov not yet implemented")
    if full_output_cov:
        raise NotImplementedError("full_output_cov not yet implemented")

    ind_conditional = conditional.dispatch(object, SeparateIndependentMof, SeparateIndependentMok, object)
    g_mu, g_var = ind_conditional(Xnew, feat, kern, f,
                                  white=white, q_sqrt=q_sqrt)  // [..., N, L], [..., N, L]
    g_sample = sample_mvn(g_mu, g_var, "diag", num_samples=num_samples)  // [..., (S), N, L]

Instances