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Python – tensorflow.identity()

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  • 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.

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)


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