tensorflow随笔-clip_by_value

最新推荐文章于 2022-04-18 21:20:05 发布

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最新推荐文章于 2022-04-18 21:20:05 发布

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文章标签： tensorflow

本文链接：https://blog.youkuaiyun.com/AI_LX/article/details/89212741

本文介绍如何使用TensorFlow的clip_by_value函数对张量的值进行裁剪，确保其值不会超出指定的最小值和最大值范围。通过一个具体的代码示例，展示了如何将一个包含多个数值的张量中所有元素的值限制在1e-10到1.0之间。

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import tensorflow as tf
x=tf.constant([-0.2,0.5,43.98,-23.1,26.58])
y=tf.clip_by_value(x,1e-10,1.0)
sess=tf.Session()
print sess.run(y)

sess.close()
clip_by_value(
t,
clip_value_min,
clip_value_max,
name=None
)

Given a tensor t, this operation returns a tensor of the same type and shape as t with its values clipped to clip_value_min and clip_value_max. Any values less than clip_value_min are set to clip_value_min. Any values greater than clip_value_max are set to clip_value_max.

Args:

t: A Tensor.
clip_value_min: A 0-D (scalar) Tensor, or a Tensor with the same shape as t. The minimum value to clip by.
clip_value_max: A 0-D (scalar) Tensor, or a Tensor with the same shape as t. The maximum value to clip by.
name: A name for the operation (optional).
Returns:

A clipped Tensor.