在張量板中顯示python變量

Question

我想在張量板中顯示一些python變量，但我沒有把它完成。

我的代碼到目前爲止，只顯示張力線上的靜態數字行，如果我使用outcommented-lines，它不起作用？然後打印： ValueError：形狀（）和（？，）不兼容

有人有一個想法嗎？

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

這是工作：

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

的另一種方法可以在第二個答案中找到以Computing exact moving average over multiple batches in tensorflow。在那裏顯示如何創建自定義摘要。