Python – tensorflow.math.lgamma()
Last Updated :
03 Apr, 2023
TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning neural networks.
lgamma() is used to Compute element wise log of absolute value of Gamma(x).
Syntax: tensorflow.math.lgamma( x, name)
Parameters:
- x: It is a tensor. Allowed dtypes are bfloat16, half, float32, float64.
- name(optional): It defines the name of the operation
Returns: It returns a tensor of dtype as x.
Example 1:
Python3
import tensorflow as tf
a = tf.constant([ 7 , 8 , 13 , 11 ], dtype = tf.float64)
print ( 'a: ' , a)
res = tf.math.lgamma(a)
print ( 'Result: ' , res)
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Output:
a: tf.Tensor([ 7. 8. 13. 11.], shape=(4, ), dtype=float64)
Result: tf.Tensor([ 6.57925121 8.52516136 19.9872145 15.10441257], shape=(4, ), dtype=float64)
Example 2:
Python3
import tensorflow as tf
a = tf.constant([ 2 , 8 , 14 , 5 ], dtype = tf.float32)
print ( 'a: ' , a)
res = tf.math.lgamma(a)
print ( 'Result: ' , res)
|
Output:
a: tf.Tensor([ 2. 8. 14. 5.], shape=(4, ), dtype=float32)
Result: tf.Tensor([ 0. 8.525162 22.552166 3.1780539], shape=(4, ), dtype=float32)
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