1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
|
# Copyright 2017 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.
# ================================
"""Imports a protobuf model as a graph in Tensorboard."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import argparse
import sys
from tensorflow.core.framework import graph_pb2
from tensorflow.python.client import session
from tensorflow.python.framework import importer
from tensorflow.python.framework import ops
from tensorflow.python.platform import app
from tensorflow.python.platform import gfile
from tensorflow.python.summary import summary
def import_to_tensorboard(model_dir, log_dir):
"""View an imported protobuf model (`.pb` file) as a graph in Tensorboard.
Args:
model_dir: The location of the protobuf (`pb`) model to visualize
log_dir: The location for the Tensorboard log to begin visualization from.
Usage:
Call this function with your model location and desired log directory.
Launch Tensorboard by pointing it to the log directory.
View your imported `.pb` model as a graph.
"""
with session.Session(graph=ops.Graph()) as sess:
with gfile.FastGFile(model_dir, "rb") as f:
graph_def = graph_pb2.GraphDef()
graph_def.ParseFromString(f.read())
importer.import_graph_def(graph_def)
pb_visual_writer = summary.FileWriter(log_dir)
pb_visual_writer.add_graph(sess.graph)
print("Model Imported. Visualize by running: "
"tensorboard --logdir={}".format(log_dir))
def main(unused_args):
import_to_tensorboard(FLAGS.model_dir, FLAGS.log_dir)
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.register("type", "bool", lambda v: v.lower() == "true")
parser.add_argument(
"--model_dir",
type=str,
default="",
required=True,
help="The location of the protobuf (\'pb\') model to visualize.")
parser.add_argument(
"--log_dir",
type=str,
default="",
required=True,
help="The location for the Tensorboard log to begin visualization from.")
FLAGS, unparsed = parser.parse_known_args()
app.run(main=main, argv=[sys.argv[0]] + unparsed)
|
