tensorflow API：tf.control_dependencies

原文参考：

http://blog.csdn.net/u012436149/article/details/72084744

Args: control_inputs: A list of Operation or Tensor objects which must be executed or computed before running the operations defined in the context. Can also be None to clear the control dependencies.

ARGS：

control_inputs：在运行上下文中定义的操作之前必须执行或计算的 Operation 列表或 Tensor 对象。也可以是不清除控件依赖项。

Returns: A context manager that specifies control dependencies for all operations constructed within the context.

返回：

指定上下文中构建的所有操作的控制依赖关系的上下文管理器。

例子：

opt = tf.train.Optimizer().minize(loss)
with tf.control_dependencies([opt]):
updated_weight = tf.identity(weight)
with tf.Session() as sess:
tf.global_variables_initializer().run()
sess.run(updated_weight, feed_dict={...}) # 这样每次得到的都是更新后的weight