Python – tensorflow.fingerprint()
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
import tensorflow as tf
data = tf.constant([ 1 , 2 , 3 , 4 ])
method = 'farmhash64'
print ( 'data: ' , data)
print ( 'method: ' , method)
res = tf.fingerprint(data, method)
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
import tensorflow as tf
data = tf.constant([[ 1 , 2 ], [ 3 , 4 ]])
method = 'farmhash64'
print ( 'data: ' , data)
print ( 'method: ' , method)
res = tf.fingerprint(data, method)
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)
Last Updated :
10 Jul, 2020
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