get_dense_feature() 的返回值为什么需要tf.concat(,-1),返回值不是[inputs,feature_dim]吗

get_dense_feature() 的返回值为什么需要tf.concat(,-1),返回值不是[inputs,feature_dim]吗？
测试中GetDenseFeature 输入了4个参数，
def testGetDenseFeature(self):
"""Test get dense feature for nodes"""
op = ops.get_dense_feature(tf.constant([1, 2], dtype=tf.int64), [0, 1], [2, 3], 3)
with tf.Session() as sess:
dense_features = sess.run(op)
self.assertAllClose([[2.4, 3.6], [2.4, 3.6]], dense_features[0])
self.assertAllClose([[4.5, 6.7, 8.9], [4.5, 6.7, 8.9]],
dense_features[1])
实际调用时只需要3个参数euler_ops.get_dense_feature(
i nputs, self.feature_idx, self.feature_dim)？

Start with the get_dense_feature() implementation and the testGetDenseFeature test shown in the issue, then compare them with the euler_ops.get_dense_feature call site. Confirm how the arguments and returned shape are intended to align; done means the discrepancy is resolved and the test reflects the documented API.

Written by the indexing model from the issue text.