tf.count_up_to(ref, limit, name=None)
Increments 'ref' until it reaches 'limit'.
This operation outputs "ref" after the update is done. This makes it easier to chain operations that need to use the updated value.
limit: An int. If incrementing ref would bring it above limit, instead generates an 'OutOfRange' error.
name: A name for the operation (optional).
Returns:
输出:0、0、1
Increments 'ref' until it reaches 'limit'.
This operation outputs "ref" after the update is done. This makes it easier to chain operations that need to use the updated value.
Args:
ref: A mutable Tensor. Must be one of the following types: int32, int64. Should be from a scalar Variable node.limit: An int. If incrementing ref would bring it above limit, instead generates an 'OutOfRange' error.
name: A name for the operation (optional).
Returns:
A Tensor. Has the same type as ref. A copy of the input before increment. If nothing else modifies the input, the values produced will all be distinct.
代码示例:
import tensorflow as tf
with tf.Session().as_default():
var = tf.Variable(0)
count = var.count_up_to(3)
tf.initialize_all_variables().run()
print(var.eval())
print(count.eval())
print(var.eval())输出:0、0、1
本文详细介绍了 TensorFlow 中的 count_up_to 函数,该函数用于递增指定的变量直至达到预设上限,并在此过程中返回更新前的变量值。文章通过示例演示了如何在 TensorFlow 会话中使用此函数。
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