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Tensorboard

yundejia 2022-07-18 阅读 228

1.启动tensorboard

tensorboard --logdir="./logs" --port 6006

 

2.显示graph

import tensorflow as tf  
a=tf.constant(2)
b=tf.constant(3)
x=tf.add(a,b)
sess = tf.Session()
writer=tf.summary.FileWriter('./logs',sess.graph)
writer.close()

 

3.查看变量

import tensorflow as tf

a = tf.constant(1.0,name="a")
b = tf.random_normal(shape=[], mean=0, stddev=1, name='b')
print a.get_shape()
print b.get_shape()

x=tf.add(a,b)

tf.summary.scalar('x', x)
tf.summary.histogram('x_h', x)

merged = tf.summary.merge_all()

sess = tf.Session()
writer=tf.summary.FileWriter('./logs',sess.graph)

step = 0
while True:
mysum = sess.run(merged)
writer.add_summary(mysum,step)
step+=1

writer.close()

 

 

更多参考资料:​​http://www.jianshu.com/p/d059ffea9ec0​​

黄世宇/Shiyu Huang's Personal Page:​​https://huangshiyu13.github.io/​​



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