TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning neural networks.
guarantee_const() is used to assure TensorFlow runtime that input tensor is constant.
Syntax: tensorflow.guarantee_const( input, name)
Parameters:
- input: It is a Tensor.
- name(optional): It defines the name for the operation
Returns: It returns a Tensor same as input Tensor.
Example 1:
Python3
# Importing the libraryimport tensorflow as tf# Initializing the Tensorx = tf.guarantee_const(5)# Printing the resultprint("x: ", x) |
Output:
x: tf.Tensor(5, shape=(), dtype=int32)
Example 2:
Python3
# Importing the libraryimport tensorflow as tf# Initializing the Tensorx = tf.Variable(2.0, name ="x")z = tf.Variable(4.0, name ="z")# Using guarantee_consty = tf.guarantee_const([x, z])# Printing the resultprint("y: ", y) |
Output:
y: tf.Tensor([2. 4.], shape=(2, ), dtype=float32)
