Python – tensorflow.math.digamma()

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。

digamma()用于计算 Lgamma 的逐元素导数，即 Gamma(x) 绝对值的对数。

Syntax: tensorflow.math.digamma(   x, name)

Parameters:

• x: It’s the input tensor. Allowed dtypes are bfloat16, half, float32, float64.
• name(optional): It defines the name for the operation.

Returns: It returns a tensor of same dtype as x.

示例 1：

Python3

# importing the library
import tensorflow as tf
  
# Initializing the input tensor
a = tf.constant([1, 2, 3, 4, 5], dtype = tf.float64)
  
# Printing the input tensor
print('Input: ', a)
  
# Calculating digamma
res = tf.math.digamma(x = a)
  
# Printing the result
print('Result: ', res)

输出：

Input:  tf.Tensor([1. 2. 3. 4. 5.], shape=(5, ), dtype=float64)
Result:  tf.Tensor([-0.57721566  0.42278434  0.92278434  1.25611767  1.50611767], shape=(5, ), dtype=float64)

示例 2：可视化

Python3

# importing the library
import tensorflow as tf
import matplotlib.pyplot as plt
  
# Initializing the input tensor
a = tf.constant([1, 2, 3, 4, 5], dtype = tf.float64)
  
# Calculating digamma
res = tf.math.digamma(x = a)
  
# Plotting the graph
plt.plot(a, res, color ='green')
plt.title('tensorflow.math.digamma')
plt.xlabel('Input')
plt.ylabel('Result')
plt.show()

输出：