Python – tensorflow.math.lgamma()
TensorFlow 是由 Google 设计的开源Python库,用于开发机器学习模型和深度学习神经网络。
lgamma()用于计算 Gamma(x) 绝对值的元素对数。
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.
示例 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)
Python3
# Importing the libraray
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)
输出:
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)
示例 2:
Python3
# Importing the libraray
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)
输出:
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)