Login Register

tf.contrib.learn.monitors.StopAtStep.post_step()

tf.contrib.learn.monitors.StopAtStep.post_step(step, session)

Callback after the step is finished.

Called after step_end and receives session to perform extra session.run calls. If failure occurred in the process, will be called as well.

Args:

step: int, global step of the model.
session: Session object.

Links:

https://www.tensorflow.org/versions/master/api_docs/python/contrib.learn.monitors.html#StopAtStep.post_step

doc_TensorFlow

2016-10-14 13:06:41

Comments

Leave a Comment

Please login to continue.

Popular Articles

tf.contrib.learn.monitors.StopAtStep class tf.contrib.learn.monitors.StopAtStep Monitor to request stop at a specified step.

tf.contrib.learn.monitors.StopAtStep.step_begin() tf.contrib.learn.monitors.StopAtStep.step_begin(step)

tf.contrib.learn.monitors.StopAtStep.step_end() tf.contrib.learn.monitors.StopAtStep.step_end(step, output)

tf.contrib.learn.monitors.StopAtStep.begin() tf.contrib.learn.monitors.StopAtStep.begin(max_steps=None) Called at the beginning of training. When called, the default graph is the one we are exe

tf.contrib.learn.monitors.StopAtStep.end() tf.contrib.learn.monitors.StopAtStep.end(session=None) Callback at the end of training/evaluation. Args: session: A tf.Session object that can be u