https://github.com/tensorflow/tensorboard/blob/master/README.md
file_writer = tf.summary.FileWriter(‘/path/to/logs’, sess.graph)
tensorboard –logdir path/to/logs
`"""Imports a protobuf model as a graph in Tensorboard."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
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))
if __name__ == "__main__":
model_dir="/media/joyice/ssdata/cap-git-v1/model/cap49.pbtxt"
log_dir="/media/joyice/ssdata/cap-git-v1/log"
import_to_tensorboard(model_dir, log_dir)