📜  Python – tensorflow.raw_ops.Asin()

📅  最后修改于: 2022-05-13 01:55:50.411000             🧑  作者: Mango

Python – tensorflow.raw_ops.Asin()

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。 Asin()用于查找 x 的元素级反正弦。

注意:它只接受关键字参数。

示例 1:

Python3
# Importing the library
import tensorflow as tf
  
# Initializing the input tensor
a = tf.constant([.2, .5, .7, 1], dtype=tf.float64)
  
# Printing the input tensor
print('Input: ', a)
  
# Calculating inverse sine
res = tf.raw_ops.Asin(x=a)
  
# Printing the result
print('Result: ', res)


Python3
# importing the library
import tensorflow as tf
import matplotlib.pyplot as plt
  
# Initializing the input tensor
a = tf.constant([.2, .5, .7, 1], dtype=tf.float64)
  
# Calculating inverse sine
res = tf.raw_ops.Asin(x=a)
  
# Plotting the graph
plt.plot(a, res, color='green')
plt.title('tensorflow.raw_ops.Asin')
plt.xlabel('Input')
plt.ylabel('Result')
plt.show()


输出:

Input:  tf.Tensor([0.2 0.5 0.7 1. ], shape=(4,), dtype=float64)
Result:  tf.Tensor([0.20135792 0.52359878 0.7753975  1.57079633], shape=(4,), 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([.2, .5, .7, 1], dtype=tf.float64)
  
# Calculating inverse sine
res = tf.raw_ops.Asin(x=a)
  
# Plotting the graph
plt.plot(a, res, color='green')
plt.title('tensorflow.raw_ops.Asin')
plt.xlabel('Input')
plt.ylabel('Result')
plt.show()

输出: