在张量板中显示python变量

Question

我想在张量板中显示一些python变量，但我没有把它完成。

我的代码到目前为止，只显示张力线上的静态数字行，如果我使用outcommented-lines，它不起作用？然后打印： ValueError：形状（）和（？，）不兼容

有人有一个想法吗？

import tensorflow as tf 

step = 0 
session = tf.Session() 

tensorboardVar = tf.Variable(0, "tensorboardVar") 

pythonVar = tf.placeholder("int32", [None]) 

#update_tensorboardVar = tensorboardVar.assign(pythonVar) 
update_tensorboardVar = tensorboardVar.assign(4) 
tf.scalar_summary("myVar", update_tensorboardVar) 

merged = tf.merge_all_summaries() 

sum_writer = tf.train.SummaryWriter('/tmp/train/c/', session.graph) 

session.run(tf.initialize_all_variables()) 


for i in range(100): 
     _, result = session.run([update_tensorboardVar, merged]) 
     #_, result = session.run([update_tensorboardVar, merged], feed_dict={pythonVar: i}) 
     sum_writer.add_summary(result, step) 
     step += 1 

Answer 1

这是工作：

import tensorflow as tf 
import numpy as np 

step = 0 
session = tf.Session() 

tensorboardVar = tf.Variable(0, "tensorboardVar") 

pythonVar = tf.placeholder("int32", []) 

update_tensorboardVar = tensorboardVar.assign(pythonVar) 
tf.scalar_summary("myVar", update_tensorboardVar) 

merged = tf.merge_all_summaries() 

sum_writer = tf.train.SummaryWriter('/tmp/train/c/', session.graph) 

session.run(tf.initialize_all_variables()) 


for i in range(100): 
     #_, result = session.run([update_tensorboardVar, merged]) 
     j = np.array(i) 
     _, result = session.run([update_tensorboardVar, merged], feed_dict={pythonVar: j}) 
     sum_writer.add_summary(result, step) 
     step += 1 

Answer 2

的另一种方法可以在第二个答案中找到以Computing exact moving average over multiple batches in tensorflow。在那里显示如何创建自定义摘要。