python带参数装饰器使用

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# -*- coding: utf-8 -*
"""TensorFlow指定使用GPU工具类author: Jillusage：
方法上加@tf_with_device(device)
具体见本文件demo
"""
from functools import wrapsimport tensorflow as tfdef tf_with_device(device):
"""
Using the special device. args:
device : gpu或者cpu名
""" def decorate(func): @wraps(func)
def wrapper(*args, **kwargs):
with tf.device(device):
result = func(*args, **kwargs)
return result return wrapper
return decorate# demo
@tf_with_device('/cpu:0')
def calculate():
c = []
a = tf.constant([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], shape=[2, 3])
b = tf.constant([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], shape=[3, 2])
c.append(tf.matmul(a, b))
# Creates a session with log_device_placement set to True.
sess = tf.Session(config=tf.ConfigProto(log_device_placement=True))
# Runs the op.
result = sess.run(tf.add_n(c))
print(result)
return resulta = calculate()
print("result:\n" + str(a))