page_type: reference
<style> table img { max-width: 100%; } </style>Inherits From: SessionRunHook
Defined in tensorflow/python/debug/wrappers/hooks.py
.
See the guide: TensorFlow Debugger > Session wrapper class and SessionRunHook
implementations
A debugger hook that dumps debug data to filesystem.
Can be used as a hook for tf.train.MonitoredSession
s and
tf.estimator.Estimator
s.
__init__(
session_root,
watch_fn=None,
thread_name_filter=None,
log_usage=True
)
Create a local debugger command-line interface (CLI) hook.
session_root
: See doc ofdumping_wrapper.DumpingDebugWrapperSession.__init__
.watch_fn
: See doc ofdumping_wrapper.DumpingDebugWrapperSession.__init__
.thread_name_filter
: Regular-expression white list for threads on which the wrapper session will be active. See doc ofBaseDebugWrapperSession
for more details.log_usage
: (bool) Whether usage is to be logged.
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.
session
: A TensorFlow Session that has been created.coord
: A Coordinator object which keeps track of all threads.
after_run(
run_context,
run_values
)
before_run(run_context)
begin()
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.
session
: A TensorFlow Session that will be soon closed.