📜  Python – tensorflow.math.rint()

📅  最后修改于: 2022-05-13 01:55:51.693000             🧑  作者: Mango

Python – tensorflow.math.rint()

TensorFlow 是由谷歌设计的开源Python库,用于开发机器学习模型和深度学习神经网络。 rint()用于查找最接近 x 的元素整数。

示例 1:

Python3
# Importing the library
import tensorflow as tf
  
# Initializing the input tensor
a = tf.constant([.2, 1.6, 3.7, 1], dtype = tf.float64)
  
# Printing the input tensor
print('a: ', a)
  
# Calculating result
res = tf.math.rint(a)
  
# Printing the result
print('Result: ', res)


Python3
# importing the library
import tensorflow as tf
  
# Initializing the input tensor
a = tf.constant([2.5, 5.5, 1.5, 6.5], dtype = tf.float64)
  
# Printing the input tensor
print('a: ', a)
  
# Calculating result
res = tf.math.rint(a)
  
# Printing the result
print('Result: ', res)


输出:

a:  tf.Tensor([0.2 1.6 3.7 1. ], shape=(4, ), dtype=float64)
Result:  tf.Tensor([0. 2. 4. 1.], shape=(4, ), dtype=float64)


示例 2:如果两个值之间存在关联,则选择甚至可表示的值。

Python3

# importing the library
import tensorflow as tf
  
# Initializing the input tensor
a = tf.constant([2.5, 5.5, 1.5, 6.5], dtype = tf.float64)
  
# Printing the input tensor
print('a: ', a)
  
# Calculating result
res = tf.math.rint(a)
  
# Printing the result
print('Result: ', res)

输出:

a:  tf.Tensor([2.5 5.5 1.5 6.5], shape=(4, ), dtype=float64)
Result:  tf.Tensor([2. 6. 2. 6.], shape=(4, ), dtype=float64)