Tensorboard on Windows reports "No scalar data was found"

user_8108727 0
Viewed 6533

Doing the tutorial off the TensorFlow community Git repository at https://github.com/BinRoot/TensorFlow-Book/blob/master/ch02_basics/Concept08_TensorBoard.ipynb

When running tensorboard --logdir=path/to/logs in the command panel I get, Starting TensorBoard b'47' at http://0.0.0.0:6006.

Then when I go to explorer and look at the board it brings up, No scalar data was found. I am not sure what I am missing.

Copy of the code as I have it in my Python script:

import tensorflow as tf
import numpy as np

raw_data = np.random.normal(10, 1, 100)

alpha = tf.constant(0.05)
curr_value = tf.placeholder(tf.float32)
prev_avg = tf.Variable(0.)

update_avg = alpha * curr_value + (1 - alpha) * prev_avg

avg_hist = tf.summary.scalar("running_average", update_avg)
value_hist = tf.summary.scalar("incoming_values", curr_value)

merged = tf.summary.merge_all()
writer = tf.summary.FileWriter("./logs")

init = tf.global_variables_initializer()

with tf.Session() as sess:
    sess.run(init)
    for i in range(len(raw_data)):
        summary_str, curr_avg = sess.run([merged, update_avg], feed_dict=
{curr_value: raw_data[i]})
        sess.run(tf.assign(prev_avg, curr_avg))
        print(raw_data[i], curr_avg)
        writer.add_summary(summary_str, i)
tensorboard tensorflow python
2 Answers

Do not use the absolute path,like"--logdir=path/to/logs".Try a shorter path,like"--logdir=path",it works for my code.

user_135097750
Related