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Class StopAtStepHook

大牛时代配资Hook that requests stop at a specified step.

Inherits From: SessionRunHook


  • Class tf.compat.v1.estimator.StopAtStepHook
  • Class tf.compat.v1.train.StopAtStepHook
  • Class tf.compat.v2.estimator.StopAtStepHook


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Initializes a StopAtStepHook.

大牛时代配资This hook requests stop after either a number of steps have been executed or a last step has been reached. Only one of the two options can be specified.

if num_steps is specified, it indicates the number of steps to execute after begin() is called. If instead last_step is specified, it indicates the last step we want to execute, as passed to the after_run() call.


  • num_steps: Number of steps to execute.
  • last_step: Step after which to stop.


  • ValueError: If one of the arguments is invalid.



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Called when new TensorFlow session is created.

This is called to signal the hooks that a new session has been created. This has two essential differences with the situation in which begin大牛时代配资 is called:

  • When this is called, the graph is finalized and ops can no longer be added to the graph.
  • This method will also be called as a result of recovering a wrapped session, not only at the beginning of the overall session.


  • session: A TensorFlow Session that has been created.
  • coord: A Coordinator object which keeps track of all threads.


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大牛时代配资Called after each call to run().

The run_values argument contains results of requested ops/tensors by before_run().

The run_context argument is the same one send to before_run call. run_context.request_stop() can be called to stop the iteration.

If raises any exceptions then after_run() is not called.


  • run_context: A SessionRunContext object.
  • run_values: A SessionRunValues object.


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Called before each call to run().

You can return from this call a SessionRunArgs object indicating ops or tensors to add to the upcoming run() call. These ops/tensors will be run together with the ops/tensors originally passed to the original run() call. The run args you return can also contain feeds to be added to the run() call.

The run_context argument is a SessionRunContext that provides information about the upcoming run() call: the originally requested op/tensors, the TensorFlow Session.

At this point graph is finalized and you can not add ops.


  • run_context: A SessionRunContext object.


None or a SessionRunArgs object.


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大牛时代配资Called once before using the session.

When called, the default graph is the one that will be launched in the session. The hook can modify the graph by adding new operations to it. After the begin() call the graph will be finalized and the other callbacks can not modify the graph anymore. Second call of begin()大牛时代配资 on the same graph, should not change the graph.


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大牛时代配资Called at the end of session.

The session argument can be used in case the hook wants to run final ops, such as saving a last checkpoint.

If raises exception other than OutOfRangeError or StopIteration then end() is not called. Note the difference between end() and after_run() behavior when raises OutOfRangeError or StopIteration. In that case end() is called but after_run()大牛时代配资 is not called.


  • session: A TensorFlow Session that will be soon closed.

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