Python–PyTorch frac()方法
原文:https://www.geeksforgeeks.org/python-pytorch-frac-method/
PyTorch torch.frac()方法计算输入中每个元素的小数部分。
语法:
torch.frac(input, out=None)论据
- 输入:这是输入张量。
- 出:输出张量。
返回:它返回一个张量。
Let’s see this concept with the help of few examples:Example 1:
# Importing the PyTorch library
import torch
# A constant tensor of size n
a = torch.FloatTensor([-5.4, 6.6, -7.1099, 4.4567])
print(a)
# Applying the frac function and
# storing the result in 'out'
out = torch.frac(a)
print(out)
输出:
-5.4000
6.6000
-7.1099
4.4567
[torch.FloatTensor of size 4]
-0.4000
0.6000
-0.1099
0.4567
[torch.FloatTensor of size 4]
例 2:
# Importing the PyTorch library
import torch
# A constant tensor of size n
a = torch.randn(6)
print(a)
# Applying the frac function and
# storing the result in 'out'
out = torch.frac(a)
print(out)
输出:
-0.5260
-1.8843
0.8062
1.2264
-0.1505
-0.3217
[torch.FloatTensor of size 6]
-0.5260
-0.8843
0.8062
0.2264
-0.1505
-0.3217
[torch.FloatTensor of size 6]
