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:
# 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:
# 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)