tensorboard 簡單實用

import tensorflow as tf    
import numpy as np  
 
 
k = tf.placeholder(tf.float32)
 
# Make a normal distribution, with a shifting mean
mean_random_normal = tf.random_normal(shape=[1000],mean=(5*k),stddev=1)
mean_moving_normal = tf.truncated_normal(shape=[1000], mean=(5*k), stddev=1)
# Record that distribution into a histogram summary
tf.summary.histogram("normal/random_output", mean_random_normal)
tf.summary.histogram("normal/truncated_output", mean_moving_normal)
 
# Setup a session and summary writer
sess = tf.Session()
writer = tf.summary.FileWriter("/tmp/histogram_example2")
 
summaries = tf.summary.merge_all()
 
# Setup a loop and write the summaries to disk
N = 400
for step in range(N):
  k_val = step/float(N)
  summ = sess.run(summaries, feed_dict={k: k_val})
  writer.add_summary(summ, global_step=step)

複製代碼

在shell中輸入命令 tensorboard --logdir=/tmp/histogram_example2

而後在browser中輸入127.0.0.1:6006