如何使用张量作为范围运行循环? (在张量流中) [英] How can I run a loop with a tensor as its range? (in tensorflow)

问题描述

我想要一个for循环，其迭代次数取决于张量值.例如:

I want to have a for loop that the number of its iterations is depend on a tensor value. For example:

for i in tf.range(input_placeholder[1,1]):
  # do something

但是我遇到以下错误:

"TypeError:'Tensor'对象不可迭代"

我该怎么办?

推荐答案

为此，您将需要使用tensorflow while循环(

To do this you will need to use the tensorflow while loop (tf.while_loop) as follows:

i = tf.constant(0)
while_condition = lambda i: tf.less(i, input_placeholder[1, 1])
def body(i):
    # do something here which you want to do in your loop
    # increment i
    return [tf.add(i, 1)]

# do the loop:
r = tf.while_loop(while_condition, body, [i])

这篇关于如何使用张量作为范围运行循环? (在张量流中)的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！