Python – tensorflow.math.lgamma()

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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

# importing the library
import tensorflow as tf
 
# Initializing the input tensor
a = tf.constant([7, 8, 13, 11], dtype = tf.float64)
 
# Printing the input tensor
print('a: ', a)
 
# Calculating the result
res = tf.math.lgamma(a)
 
# Printing the result
print('Result: ', res)

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

# Importing the library
import tensorflow as tf
 
# Initializing the input tensor
a = tf.constant([2, 8, 14, 5], dtype = tf.float32)
 
# Printing the input tensor
print('a: ', a)
 
# Calculating the result
res = tf.math.lgamma(a)
 
# Printing the result
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)