原文地址https://blog.csdn.net/shwan_ma/article/details/78879620，版权归原作者所有。
原博主写的很好，将常用的方法记载下来供以后学习参考。
sess.run(tf.global_varibales_initializer())
variable_name = [v.name for v in tf.trainable_variables()]
print(variable_names)
variable_names = [v.name for v in tf.trainable_variables()]
values = sess.run(variable_names)
for k,v in zip(variable_names, values):
print("Variable: ", k)
print("Shape: ", v.shape)
print(v)
for variable in tf.trainable_variables():
shape = variable.get_shape()
variable_parameters = 1
for dim in shape:
variable_parameters *= dim.value
total_parameters += variable_parameters