What does clip by value function do in tensorflow

This recipe explains what does clip by value function do in tensorflow

Recipe Objective

What does clip_by_value function do?

The clip_by_value function in tensorflow clips values of a tensor to a specified minimum and maximum value. For example if we have tensor called "x" then this operation will return a tensor of the similar type and shape as "x" with its values clipped to "clip_value_min" or "clip_value_max". The values which are greater than "clip_value_max" are set to "clip_value_max" and values which are less than "clip_value_min" are set to "clip_value_min".

Step 1 - Import library

import tensorflow as tf

Step 2 - Take Sample value

Sample_data = tf.constant([[-1., 20., 0.], [10., 34., 70.]])

Step 3 - Perform clip_by_value

clip_function = tf.clip_by_value(Sample_data, clip_value_min=-1.0, clip_value_max=1.0) print("This is the result after performing clip function:",clip_function)

This is the result after performing clip function: tf.Tensor(
[[-1.  1.  0.]
 [ 1.  1.  1.]], shape=(2, 3), dtype=float32)

Here we can see the values which are greater than clip_value_max are set as "1" and the values which are less than clip_value_min are set as "-1" as per we have defined.

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