Python – tensorflow.math.lgamma()

TensorFlow是谷歌设计的开源Python库，用于开发机器学习模型和深度学习神经网络。

lgamma()是用来计算Gamma(x)的绝对值的元素对数。

语法: tensorflow.math.lgamma( x, name)

参数:

x:它是一个张量。允许的d类型是bfloat16, half, float32, float64。
name（可选）:它定义了该操作的名称

返回：它返回一个dtype为x的张量。

示例 1:

# 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)

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:

# 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)