c1860af35fe694e5ce963cd8a3a7aa898f1c34c0,GPflow/conditionals.py,,gaussian_gp_predict,#,50

Before Change

            W = tf.triu(w)
            WB = tf.matmul(W, B)
            return tf.reduce_sum(tf.square(WB), 0)
        projected_var, _ = theano.scan(f, q_sqrt.swapaxes(0,2))
        fvar += tf.transpose(projected_var)

    return fmean, fvar

After Change

    elif q_sqrt.get_shape().ndims==3:
        // we have the cholesky form for q(v)
        projected_var = []
        for d in range(num_columns):
            L = tf.user_ops.triangle(q_sqrt[:,:,d], "lower")
            LTB = tf.matmul(tf.transpose(L), B)
            projected_var.append(tf.reduce_sum(LTB,0))
        fvar += tf.transpose(tf.pack(projected_var))

    return fmean, fvar

Instances