python–tensorlow.math.lgamma()
哎哎哎:# t0]https://www.geeksforgeeks.org/python-tensorlow-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。
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:
蟒蛇 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:
蟒蛇 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)
