code: import tensorflow as tf
  from tensorflow.python.platform import gfile
  
  # only for bugfix
  tf.contrib.rnn
  
  output_graph_path = './model.pb'
  
  graph = tf.Graph()
  
  with gfile.FastGFile(output_graph_path, 'rb') as f:
      output_graph_def = tf.GraphDef()
      output_graph_def.ParseFromString(f.read())
  
  with graph.as_default():
      tf.import_graph_def(output_graph_def, name="")
  
      with tf.Session(graph=graph) as sess:
          init_all_tables = graph.get_operation_by_name('init_all_tables')
          sess.run(init_all_tables)
          # sess.run(tf.global_variables_initializer())
          # sess.run(tf.local_variables_initializer())
          # 得到当前图有几个操作节点
          print("%d ops in the final graph." % len(output_graph_def.node))
  
          tensor_name = [tensor.name for tensor in output_graph_def.node]
          print(tensor_name)
          print('---------------------------')
  
          Placeholder = sess.graph.get_tensor_by_name('Placeholder:0')
          Placeholder_1 = sess.graph.get_tensor_by_name('Placeholder_1:0')
          # embedding层的输出
          embedding_out = sess.graph.get_tensor_by_name('embedding_lookup:0')
          enbedding_transpose = sess.graph.get_tensor_by_name('transpose:0')
          # BiLSTM层的输出
          BiLSTM_out = sess.graph.get_tensor_by_name('concat:0')
          BiLSTM_transpose_1 = sess.graph.get_tensor_by_name('transpose_1:0')
  
          a = sess.graph.get_tensor_by_name('Variable_1:0')
          a_array = a.eval(session=sess)
          for i in a_array[:1]:
              print(i)
          print('#####################')
  
          input_words = [['唱', '一', '首', '不', '消', '失', '的', '回', '忆']]
          input_words_len = [9]
  
          b = sess.graph.get_tensor_by_name('hash_table_Lookup/hash_table_Lookup/LookupTableFindV2:0')
          b = sess.run(b, {Placeholder: input_words, Placeholder_1: input_words_len})
  
          for i in b:
              print(i)
apis: tensorflow.Graph tensorflow.Session tensorflow.import_graph_def tensorflow.python.platform.gfile.FastGFile tensorflow.GraphDef