Python – tensorflow.math.log1p()

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。 TensorFlow raw_ops 提供对所有 TensorFlow 操作的低级访问。 Log1p()用于查找输入 x 的 (1+x) 的元素对数。

Syntax: tf.math.log1p(x, name)

Parameters:

• x: It’s the input tensor. Allowed dtype for this tensor are bfloat16, half, float32, float64, complex64, complex128.
•  name(optional): It’s 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 logarithm(1 + x)
res = tf.math.log1p(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([0.69314718 1.09861229 1.38629436 1.60943791 1.79175947], 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 logarithm(1 + x)
res = tf.math.log1p(x = a)
   
# Plotting the graph
plt.plot(a, res, color ='green')
plt.title('tensorflow.math.log1p')
plt.xlabel('Input')
plt.ylabel('Result')
plt.show()

输出：