Skip to content
Related Articles

Related Articles

Improve Article
Save Article
Like Article

Python – tensorflow.identity()

  • Last Updated : 20 Jul, 2020

TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning  neural networks. 

identity() returns a Tensor with the same shape and contents as input.

 Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.  

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. And to begin with your Machine Learning Journey, join the Machine Learning - Basic Level Course

Syntax: tensorflow.identity(input, name)



Parameters:

  • input: It is a Tensor.
  • name(optional): It defines the name for the operation.

Returns: It returns a Tensor with the same shape and contents as input.

Example 1:

Python3




# Importing the library
import tensorflow as tf
  
# Initializing the input
data = tf.Variable([[1, 2, 3], [3, 4, 5], [5, 6, 7]])
  
# Printing the input
print('data: ', data)
  
# Calculating result
res = tf.identity(data)
  
# Printing the result
print('res: ', res)

Output:


data:  <tf.Variable 'Variable:0' shape=(3, 3) dtype=int32, numpy=
array([[1, 2, 3],
       [3, 4, 5],
       [5, 6, 7]], dtype=int32)>
res:  tf.Tensor(
[[1 2 3]
 [3 4 5]
 [5 6 7]], shape=(3, 3), dtype=int32)

Example 2:

Python3




# Importing the library
import tensorflow as tf
  
# Initializing the input
data = tf.constant([[1, 2, 3], [3, 4, 5], [5, 6, 7]])
  
# Printing the input
print('data: ', data)
  
# Calculating result
res = tf.identity(data)
  
# Printing the result
print('res: ', res)

Output:


data:  tf.Tensor(
[[1 2 3]
 [3 4 5]
 [5 6 7]], shape=(3, 3), dtype=int32)
res:  tf.Tensor(
[[1 2 3]
 [3 4 5]
 [5 6 7]], shape=(3, 3), dtype=int32)




My Personal Notes arrow_drop_up
Recommended Articles
Page :

Start Your Coding Journey Now!