环境： Ubuntu 16.04; TensorFlow v1.0.0（CPU）
尝试使用＆＃34; tf.train.import_meta_graph（＆＃39; model.meta＆＃39;）导入已保存的图表时，＆＃34;我收到以下错误：
Traceback (most recent call last):
File "test_load.py", line 19, in new_saver =
tf.train.import_meta_graph('model.meta')
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/training/saver.py",
line 1577, in import_meta_graph **kwargs)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/meta_graph.py",
line 498, in import_scoped_meta_graph producer_op_list=producer_op_list)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/importer.py",
line 259, in import_graph_def
raise ValueError('No op named %s in defined operations.' % node.op)
ValueError: No op named attn_add_fun_f32f32f32 in defined operations.
当我重新训练模型没有注意并使用相同的代码行导入图形时，不会抛出此错误。 是否加载了目前尚未受到关注的训练模型？以下是我的注意力实现：
attention_states = tf.transpose(self.encoder_outputs, [1, 0, 2])
(attention_keys,
attention_values,
attention_score_fn,
attention_construct_fn) = seq2seq.prepare_attention(
attention_states = attention_states,
attention_option = "bahdanau",
num_units = self.decoder_cell.output_size)
decoder_fn_train = seq2seq.attention_decoder_fn_train(
encoder_state = self.encoder_state,
attention_keys = attention_keys,
attention_values = attention_values,
attention_score_fn = attention_score_fn,
attention_construct_fn = attention_construct_fn,
name = 'attention_decoder')
decoder_fn_inference = seq2seq.attention_decoder_fn_inference(
output_fn = output_fn,
encoder_state = self.encoder_state,
attention_keys = attention_keys,
attention_values = attention_values,
attention_score_fn = attention_score_fn,
attention_construct_fn = attention_construct_fn,
embeddings = self.embedding_matrix,
start_of_sequence_id = self.EOS,
end_of_sequence_id = self.EOS,
maximum_length = tf.reduce_max(self.encoder_inputs_length) + 3,
num_decoder_symbols = self.vocab_size,)
谢谢！