TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning neural networks.
fingerprint() is used to generate fingerprint value.
Syntax: tensorflow.fingerprint( data, method, name)
Parameters:
- data: It is a Tensor having rank 1 or higher.
- method: It defines the algorithm to be used to generate fingerprint.
- name(optional): It defines the name for the operation.
Return: It returns a 2-D Tensor of dtype unit32.
Example 1:
Python3
# Importing the library import tensorflow as tf # Initializing the input data = tf.constant([1, 2, 3, 4]) method = 'farmhash64' # Printing the input print('data: ', data) print('method: ', method) # Calculating result res = tf.fingerprint(data, method) # Printing the result print('res: ', res) |
Output:
data: tf.Tensor([1 2 3 4], shape=(4, ), dtype=int32) method: farmhash64 res: tf.Tensor( [[ 84 24 96 84 195 82 124 105] [ 15 219 106 105 88 163 17 93] [ 92 8 0 238 168 146 54 37] [178 113 27 7 149 125 165 247]], shape=(4, 8), dtype=uint8)
Example 2:
Python3
# Importing the library import tensorflow as tf # Initializing the input data = tf.constant([[1, 2], [ 3, 4]]) method = 'farmhash64' # Printing the input print('data: ', data) print('method: ', method) # Calculating result res = tf.fingerprint(data, method) # Printing the result print('res: ', res) |
Output:
data: tf.Tensor( [[1 2] [3 4]], shape=(2, 2), dtype=int32) method: farmhash64 res: tf.Tensor( [[ 76 18 253 133 168 204 240 10] [254 162 60 240 103 244 53 255]], shape=(2, 8), dtype=uint8)
