Reputation: 11
I am a Tensorflow beginner. I am following this tutorial where the code below is from:
import tensorflow as tf
x = tf.constant(1.0, name="input")
w = tf.Variable(0.8, name="weight")
y = tf.multiply(x, w, name="output")
y_ = tf.constant(0.0, name="correct_value")
loss = tf.pow(y - y_, 2, name="loss")
train_step = tf.train.GradientDescentOptimizer(learning_rate=0.025).minimize(loss)
for value in [x, w, y, y_, loss]:
tf.summary.scalar(value.op.name, value)
summaries = tf.summary.merge_all()
with tf.Session() as sess:
sess.run(tf.global_variables_initializer())
writer = tf.summary.FileWriter("/tmp/fn")
writer.add_graph(sess.graph)
for i in range(100):
writer.add_summary(sess.run(summaries), i)
sess.run(train_step)
writer.close()
Every time when I try to run Tensorboard, I get "No graph definition files were found":
Tensorboard: No graph definition files where found
I used --debug parameter and event files were found. I also used --inspect parameter which generated this:
C:\WINDOWS\system32>tensorboard --inspect --logdir="D:\tmp\fn"
======================================================================
Processing event files... (this can take a few minutes)
======================================================================
Found event files in:
D:\tmp\fn
These tags are in D:\tmp\fn:
audio -
histograms -
images -
scalars
correct_value_1
input_1
loss_1
output_1
weight_1
tensor -
======================================================================
Event statistics for D:\tmp\fn:
audio -
graph
first_step 0
last_step 0
max_step 0
min_step 0
num_steps 1
outoforder_steps []
histograms -
images -
scalars
first_step 0
last_step 99
max_step 99
min_step 0
num_steps 100
outoforder_steps []
sessionlog:checkpoint -
sessionlog:start -
sessionlog:stop -
tensor -
======================================================================
I think something is wrong with my code. The code is almost same as the one in the tutorial but I have changed something because the tutorial is using other version of Tensorflow than me. I am using Tensorflow 1.3 GPU on Windows 10.
What could I be doing wrong? Thanks.
Upvotes: 0
Views: 1010
Reputation: 11
The problem is that TensorBoard doesn't respect drive names on Windows. The problem is solved here.
Upvotes: 1
Reputation: 84
You could add the line below in your code.
tf.train.write_graph(sess.graph_def, '/tmp/fn', 'graph.pb', False)
Upvotes: 0