tfdbg.DumpingDebugWrapperSession
tfdbg.DumpingDebugWrapperSession
class tfdbg.DumpingDebugWrapperSession
Defined in tensorflow/python/debug/wrappers/dumping_wrapper.py
.
See the guide: TensorFlow Debugger > Session wrapper class and SessionRunHook
implementations
Debug Session wrapper that dumps debug data to filesystem.
Properties
graph
graph_def
sess_str
session
Methods
__init__
__init__( sess, session_root, watch_fn=None, thread_name_filter=None, log_usage=True )
Constructor of DumpingDebugWrapperSession.
Args:
-
sess
: The TensorFlowSession
object being wrapped. -
session_root
: (str
) Path to the session root directory. Must be a directory that does not exist or an empty directory. If the directory does not exist, it will be created by the debugger core during debugtf.Session.run
calls. As therun()
calls occur, subdirectories will be added tosession_root
. The subdirectories' names has the following pattern: run__ E.g., run_1480734393835964_ad4c953a85444900ae79fc1b652fb324 -
watch_fn
: (Callable
) A Callable that can be used to define per-run debug ops and watched tensors. See the doc ofNonInteractiveDebugWrapperSession.__init__()
for details. -
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 the usage of this class is to be logged.
Raises:
ValueError: If session_root
is an existing and non-empty directory or if session_root
is a file.
__enter__
__enter__()
__exit__
__exit__( exec_type, exec_value, exec_tb )
as_default
as_default()
close
close()
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 thefetches
argument toSession.run()
-
feed_dict
: Same as thefeed_dict
argument toSession.run()
Returns:
-
debug_urls
: (str
orlist
ofstr
) file:// debug URLs to be used in thisSession.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 thefetches
arg to regularSession.run()
. -
feed_dict
: Same as thefeed_dict
arg to regularSession.run()
. -
options
: Same as theoptions
arg to regularSession.run()
. -
run_metadata
: Same as therun_metadata
arg to regularSession.run()
.
Returns:
Simply forwards the output of the wrapped Session.run()
call.
Raises:
-
ValueError
: On invalidOnRunStartAction
value.
© 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/tfdbg/DumpingDebugWrapperSession