tfdbg.DumpingDebugHook

tfdbg.DumpingDebugHook

class tfdbg.DumpingDebugHook

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

Properties

graph

graph_def

sess_str

session

Methods

__init__

__init__(
    session_root,
    watch_fn=None,
    thread_name_filter=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__.
• thread_name_filter: Regular-expression white list for threads on which the wrapper session will be active. See doc of BaseDebugWrapperSession for more details.
• log_usage: (bool) Whether usage is to be logged.

__enter__

__enter__()

__exit__

__exit__(
    exec_type,
    exec_value,
    exec_tb
)

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
)

as_default

as_default()

before_run

before_run(run_context)

begin

begin()

close

close()

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.

invoke_node_stepper

invoke_node_stepper(
    node_stepper,
    restore_variable_values_on_exit=True
)

See doc of BaseDebugWrapperSession.invoke_node_stepper.

on_run_end

on_run_end(request)

See doc of BaseDebugWrapperSession.on_run_end.

on_run_start

on_run_start(request)

See doc of BaseDebugWrapperSession.on_run_start.

on_session_init

on_session_init(request)

See doc of BaseDebugWrapperSession.on_run_start.

partial_run

partial_run(
    handle,
    fetches,
    feed_dict=None
)

partial_run_setup

partial_run_setup(
    fetches,
    feeds=None
)

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

prepare_run_debug_urls

prepare_run_debug_urls(
    fetches,
    feed_dict
)

Implementation of abstrat method in superclass.

See doc of NonInteractiveDebugWrapperSession.prepare_run_debug_urls() for details. This implentation creates a run-specific subdirectory under self._session_root and stores information regarding run fetches and feed_dict.keys() in the subdirectory.

Args:

• fetches: Same as the fetches argument to Session.run()
• feed_dict: Same as the feed_dict argument to Session.run()

Returns:

• debug_urls: (str or list of str) file:// debug URLs to be used in this Session.run() call.

run

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.