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 libraryimport tensorflow as tf# Initializing the input tensora = tf.constant([7, 8, 13, 11], dtype = tf.float64)# Printing the input tensorprint('a: ', a)# Calculating the resultres = tf.math.lgamma(a)# Printing the resultprint('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 libraryimport tensorflow as tf# Initializing the input tensora = tf.constant([2, 8, 14, 5], dtype = tf.float32)# Printing the input tensorprint('a: ', a)# Calculating the resultres = tf.math.lgamma(a)# Printing the resultprint('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)
