be14d17696f15d11a8075e4943c718320ca97a45,gpflow/conditionals/mo_conditionals.py,,_conditional,#Any#Any#Any#Any#,146

Before Change

    logger.debug("Conditional: InducingPoints -- Mok")
    Kmm = Kuu(feature, kernel, jitter=settings.numerics.jitter_level)  // [M, L, M, L]
    Kmn = Kuf(feature, kernel, Xnew)  // [M, L, N, P]
    Knn = kernel(Xnew, full_output_cov=full_output_cov) if full_cov \
        else kernel(Xnew, full_output_cov=full_output_cov)  // N x P(x N)x P  or  N x P(x P)

    M, L, N, K = [Kmn.shape[i] for i in range(Kmn.shape.ndims)]
    Kmm = tf.reshape(Kmm, (M * L, M * L))

After Change

    Kmm = covariances.Kuu(feat, kern, jitter=default_jitter())  // [M, L, M, L]
    Kmn = covariances.Kuf(feat, kern, Xnew)  // [M, L, N, P]
    Knn = kern(Xnew, full=full_cov, full_output_cov=full_output_cov)  // [N, P](x N)x P  or  [N, P](x P)

    M, L, N, K = [Kmn.shape[i] for i in range(Kmn.shape.ndims)]
    Kmm = tf.reshape(Kmm, (M * L, M * L))

Instances