python–tensorlow . math . lgamma()

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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。

γ()用于计算γ(x)绝对值的元素对数。

语法:tensorlow . math . lgamma(x,name)

参数:

  • x: It is a tensor. Allowed dtypes are bfloat16, half, float32, float64.

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  • 名称(可选):定义操作的名称

返回:它将数据类型的张量返回为 x。

例 1:

Python 3

# 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)

例 2:

Python 3

# 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)