I am trying to introduce a Google Inception v3 model using TensorBoard in TensorFlow 0.7.1 and cannot do this. TensorBoard Graph Tab Closes Using Instructions
Data: reading graph.pbtxt
I downloaded un-Tarred initial v3 model . Protoprover Count is located at /tmp/imagenet/classify_image_graph_def.pb.
Here is my code to output the model:
import os
import os.path
import tensorflow as tf
from tensorflow.python.platform import gfile
INCEPTION_LOG_DIR = '/tmp/inception_v3_log'
if not os.path.exists(INCEPTION_LOG_DIR):
os.makedirs(INCEPTION_LOG_DIR)
with tf.Session() as sess:
model_filename = '/tmp/imagenet/classify_image_graph_def.pb'
with gfile.FastGFile(model_filename, 'rb') as f:
graph_def = tf.GraphDef()
graph_def.ParseFromString(f.read())
_ = tf.import_graph_def(graph_def, name='')
writer = tf.train.SummaryWriter(INCEPTION_LOG_DIR, graph_def)
writer.close()
This flushes a 91 MB file called events.out.tfevents.1456423256.[hostname](the same size as the protobuffer graphic), so it seems that the graph is somewhere there.
I launched TensorBoard as follows:
tensorboard --logdir /tmp/inception_v3_log
As a result, the aforementioned hanging pane of loading on the Graph page is called.
This error appears in the Chrome JavaScript console:
Uncaught TypeError: '0' undefined
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Chrome 48.0.2564.116 (64-) OS X 10.11.3 TensorFlow 0.7.1 Python 3, Bazel TensorFlow 0.7.1 Python 2, pip .
, , mnist_with_summaries example, Inception.