tf.train.FeedFnHook
tf.train.FeedFnHook
class tf.train.FeedFnHook
Defined in tensorflow/python/training/basic_session_run_hooks.py
.
See the guide: Training > Training Hooks
Runs feed_fn
and sets the feed_dict
accordingly.
Methods
__init__
__init__(feed_fn)
Initializes a FeedFnHook
.
Args:
-
feed_fn
: function that takes no arguments and returnsdict
ofTensor
to feed.
after_create_session
after_create_session( session, coord )
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
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.
Args:
-
session
: A TensorFlow Session that has been created. -
coord
: A Coordinator object which keeps track of all threads.
after_run
after_run( run_context, run_values )
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 session.run()
raises any exceptions then after_run()
is not called.
Args:
-
run_context
: ASessionRunContext
object. -
run_values
: A SessionRunValues object.
before_run
before_run(run_context)
begin
begin()
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()
on the same graph, should not change the graph.
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.
© 2017 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/train/FeedFnHook