tensorflow-clip_by_value

Posted 2021-01-28

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.