9cea3bb56b123ae718a0c58aa22b73a6b82b6374,src/spn/gpu/TensorFlow.py,,spn_to_tf_graph,#Any#Any#Any#,16

Before Change

                return tf.reduce_logsumexp(w_childrenprob, axis=1)
            else:
                w_childrenprob = tf.stack([node.weights[i] * ctf for i, ctf in enumerate(childrenprob)], axis=1)
                return tf.reduce_sum(w_childrenprob, axis=1)

        if isinstance(node, Histogram):
            inps = np.arange(int(max(node.breaks))).reshape((-1, 1))

After Change

                return tf.add_n(childrenprob)
            else:
                prod_res = None
                for c in childrenprob:
                    if prod_res is None:
                        prod_res = c
                    else:
                        prod_res = tf.multiply(prod_res, c)
                return prod_res

        if isinstance(node, Sum):
            // TODO: make weights as variables
            if log_space:

Instances