核心代碼如下：

[tensor.name for tensor in tf.get_default_graph().as_graph_def().node]

實例代碼：（加載了Inceptino_v3的模型，并獲取該模型所有節點的名稱）

# -*- coding: utf-8 -*- import tensorflow as tfimport os model_dir = 'C:/Inception_v3'model_name = 'output_graph.pb' # 讀取并創建一個圖graph來存放訓練好的 Inception_v3模型（函數）def create_graph(): with tf.gfile.FastGFile(os.path.join(   model_dir, model_name), 'rb') as f:  # 使用tf.GraphDef()定義一個空的Graph  graph_def = tf.GraphDef()  graph_def.ParseFromString(f.read())  # Imports the graph from graph_def into the current default Graph.  tf.import_graph_def(graph_def, name='') # 創建graphcreate_graph() tensor_name_list = [tensor.name for tensor in tf.get_default_graph().as_graph_def().node]for tensor_name in tensor_name_list: print(tensor_name,'/n')

輸出結果：

mixed_8/tower/conv_1/batchnorm/moving_variance mixed_8/tower/conv_1/batchnorm r_1/mixed/conv_1/batchnorm ...mixed_10/tower_1/mixed/conv_1/CheckNumerics mixed_10/tower_1/mixed/conv_1/control_dependency mixed_10/tower_1/mixed/conv_1 pool_3 pool_3/_reshape/shape pool_3/_reshape input/BottleneckInputPlaceholder ....final_training_ops/weights/final_weights final_training_ops/weights/final_weights/read final_training_ops/biases/final_biases final_training_ops/biases/final_biases/read final_training_ops/Wx_plus_b/MatMul final_training_ops/Wx_plus_b/add final_result

由于結果太長了，就省略了一些。

如果不想這樣print輸出也可以將其寫入txt 查看。

寫入txt代碼如下：

tensor_name_list = [tensor.name for tensor in tf.get_default_graph().as_graph_def().node] txt_path = './txt/節點名稱'full_path = txt_path+ '.txt' for tensor_name in tensor_name_list: name = tensor_name + '/n' file = open(full_path,'a+')file.write(name)file.close()

以上這篇TensorFlow獲取加載模型中的全部張量名稱代碼就是小編分享給大家的全部內容了，希望能給大家一個參考，也希望大家多多支持武林站長站。