tfdbg.DumpingDebugHook

class tfdbg.DumpingDebugHook

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 monitor/hook for tf.train.MonitoredSessions and tf.contrib.learn's Estimators and Experiments.

Properties

graph

sess_str

session

Methods

__init__(session_root, watch_fn=None, log_usage=True)

Create a local debugger command-line interface (CLI) hook.

Args:

  • session_root: See doc of dumping_wrapper.DumpingDebugWrapperSession.__init__.
  • watch_fn: See doc of dumping_wrapper.DumpingDebugWrapperSession.__init__.
  • 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.

Args:

  • 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()

close()

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.

Args:

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

invoke_node_stepper(node_stepper, restore_variable_values_on_exit=True)

See doc of BaseDebugWrapperSession.invoke_node_stepper.

on_run_end(request)

See doc of BaseDebugWrapperSession.on_run_end.

on_run_start(request)

See doc of BaseDebugWrapperSession.on_run_start.

on_session_init(request)

See doc of BaseDebugWrapperSession.on_run_start.

partial_run(handle, fetches, feed_dict=None)

partial_run_setup(fetches, feeds=None)

Sets up the feeds and fetches for partial runs in the session.

run(fetches, feed_dict=None, options=None, run_metadata=None)

Wrapper around Session.run() that inserts tensor watch options.

Args:

  • fetches: Same as the fetches arg to regular Session.run().
  • feed_dict: Same as the feed_dict arg to regular Session.run().
  • options: Same as the options arg to regular Session.run().
  • run_metadata: Same as the run_metadata arg to regular Session.run().

Returns:

Simply forwards the output of the wrapped Session.run() call.

Raises:

  • ValueError: On invalid OnRunStartAction value.

Defined in tensorflow/python/debug/wrappers/hooks.py.