135a56e0935fbb04811f8ce7b9f514f498212f71,niftynet/layer/crf.py,,ftheta,#Any#Any#Any#Any#Any#Any#,148

Before Change

                U.shape)

    // Weighting Filter Outputs
    Q2 = tf.add_n([Q1 * w for Q1, w in zip(Q1, kernel_weights)])

    // Compatibility Transform
    spatial_dim = infer_spatial_rank(U)
    assert spatial_dim == 2 or 3, \

After Change

    // Compatibility Transform, Adding Unary Potentials
    // output logits, not the softmax
    return U - tf.reshape(tf.matmul(Q1, mu), U.shape.as_list())


def permutohedral_prepare(position_vectors):

Instances