import tensorflow as tf

from tensorflow.python import pywrap_tensorflow

import os

checkpoint_path = '/home/lyy/titan3/gitclone/Unet-Tensorflow/model_output_20180619091248/checkpoint/model-9870' #通过saver保存的那个模型

reader = pywrap_tensorflow.NewCheckpointReader(checkpoint_path)

var_to_shape_map = reader.get_variable_to_shape_map()

# Print tensor name and values

for key in var_to_shape_map:

    print("tensor_name: ", key)     #打印的key包括filter的参数回传的梯度

    print(reader.get_tensor(key))