Python – tensorflow.math.floormod()

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。

floormod()用于计算 x 除以 y 的元素余数。

Syntax: tensorflow.math.floormod( x, y, name)

Parameters:

x: It is a tensor. Allowed dtypes are int32, int64, bfloat16, half, float32, float64.
y: It is a tensor of same dtype as x.
name(optional): It defines the name of the operation

Returns: It returns a tensor.

编程需要懂一点英语

示例 1：

Python3

# importing the library
import tensorflow as tf
 
# Initializing the input tensor
a = tf.constant([7, 8, 13, 11], dtype = tf.float64)
b = tf.constant([2, 3, 4, 5],  dtype = tf.float64)
 
# Printing the input tensor
print('a: ', a)
print('b: ', b)
 
# Using floormod
res = tf.math.floormod(x = a, y = b)
 
# Printing the result
print('Result: ', res)

Python3

# Importing the library
import tensorflow as tf
 
# Initializing the input tensor
a = tf.constant([7, 8, 13, 11], dtype = tf.float64)
b = tf.constant([2, 3, 4, 0],  dtype = tf.float64)
 
# Printing the input tensor
print('a: ', a)
print('b: ', b)
 
# Calculating result
res = tf.math.floormod(x = a, y = b)
 
# Printing the result
print('Result: ', res)

输出：

a:  tf.Tensor([ 7.  8. 13. 11.], shape=(4, ), dtype=float64)
b:  tf.Tensor([2. 3. 4. 5.], shape=(4, ), dtype=float64)
Result:  tf.Tensor([1. 2. 1. 1.], shape=(4, ), dtype=float64)

示例 2：在此示例中，第二张量中的值之一取 0。

Python3

# Importing the library
import tensorflow as tf
 
# Initializing the input tensor
a = tf.constant([7, 8, 13, 11], dtype = tf.float64)
b = tf.constant([2, 3, 4, 0],  dtype = tf.float64)
 
# Printing the input tensor
print('a: ', a)
print('b: ', b)
 
# Calculating result
res = tf.math.floormod(x = a, y = b)
 
# Printing the result
print('Result: ', res)

输出：

a:  tf.Tensor([ 7.  8. 13. 11.], shape=(4, ), dtype=float64)
b:  tf.Tensor([2. 3. 4. 0.], shape=(4, ), dtype=float64)
Result:  tf.Tensor([ 1.  2.  1. nan], shape=(4, ), dtype=float64)