python之在 tensorflow 1.0+ 中替换 tf.contrib.learn.run_n

我正在使用 tensorflow 1.1.0 来运行用以前版本的 tensorflow 编写的代码。它包括这部分:

cell = tf.contrib.rnn.LSTMCell(num_units=64, state_is_tuple=True) 
 
outputs, last_states = tf.nn.dynamic_rnn( 
    cell=cell, 
    dtype=tf.float64, 
    sequence_length=X_lengths, 
    inputs=X) 
 
result = tf.contrib.learn.run_n( 
    {"outputs": outputs, "last_states": last_states}, 
    n=1, 
    feed_dict=None) 

我收到以下警告:

WARNING:tensorflow:From tensorflow/contrib/learn/python/learn/graph_actions.py:900: run_feeds_iter (from tensorflow.contrib.learn.python.learn.graph_actions) is deprecated and will be removed after 2017-02-15. 
Instructions for updating: 
graph_actions.py will be deleted. Use tf.train.* utilities instead. You can use learn/estimators/estimator.py as an example. 

我在 tensroflow 1.0+ 中找不到 tf.contrib.learn.run_n 的替代品。有没有我可以使用的替代函数？

请您参考如下方法:

我不确定是否有一个函数可以直接替代有问题的函数。以下替代方案应该可以在没有警告的情况下工作:

n_iter = 1 
result = [] 
with tf.Session() as sess: 
    sess.run(tf.global_variables_initializer()) 
    for i in range(n_iter): 
        result_ = sess.run({'outputs': outputs, 'last_states':last_states}, feed_dict=None) 
        result.append(result_)