# tf.train.StopAtStepHook

## Class StopAtStepHook

Inherits From: SessionRunHook

See the guide: Training > Training Hooks

Hook that requests stop at a specified step.

## Methods

### __init__

__init__(
num_steps=None,
last_step=None
)


Initializes a StopAtStepHook.

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.

#### Args:

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

#### Raises:

• ValueError: If one of the arguments is invalid.

### after_create_session

after_create_session(
session,
coord
)


### after_run

after_run(
run_context,
run_values
)


### before_run

before_run(run_context)


### begin

begin()


### end

end(session)


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 session.run() raises exception other than OutOfRangeError or StopIteration then end() is not called. Note the difference between end() and after_run() behavior when session.run() raises OutOfRangeError or StopIteration. In that case end() is called but after_run() is not called.

#### Args:

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