2017-02-14 07:49:47 -08:00

79 lines
2.5 KiB
Python

# Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Offline dump analyzer of TensorFlow Debugger (tfdbg)."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import argparse
import sys
# Google-internal import(s).
from tensorflow.python.debug.cli import analyzer_cli
from tensorflow.python.debug.lib import debug_data
from tensorflow.python.platform import app
def main(_):
if FLAGS.log_usage:
pass # No logging for open-source.
if not FLAGS.dump_dir:
print("ERROR: dump_dir flag is empty.", file=sys.stderr)
sys.exit(1)
print("tfdbg offline: FLAGS.dump_dir = %s" % FLAGS.dump_dir)
debug_dump = debug_data.DebugDumpDir(
FLAGS.dump_dir, validate=FLAGS.validate_graph)
cli = analyzer_cli.create_analyzer_ui(
debug_dump,
tensor_filters={"has_inf_or_nan": debug_data.has_inf_or_nan},
ui_type=FLAGS.ui_type)
title = "tfdbg offline @ %s" % FLAGS.dump_dir
cli.run_ui(title=title, title_color="black_on_white", init_command="lt")
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.register("type", "bool", lambda v: v.lower() == "true")
parser.add_argument(
"--dump_dir", type=str, default="", help="tfdbg dump directory to load")
parser.add_argument(
"--log_usage",
type="bool",
nargs="?",
const=True,
default=True,
help="Whether the usage of this tool is to be logged")
parser.add_argument(
"--ui_type",
type=str,
default="curses",
help="Command-line user interface type (curses | readline)")
parser.add_argument(
"--validate_graph",
nargs="?",
const=True,
type="bool",
default=True,
help="""\
Whether the dumped tensors will be validated against the GraphDefs\
""")
FLAGS, unparsed = parser.parse_known_args()
app.run(main=main, argv=[sys.argv[0]] + unparsed)