Python–PyTorch trunc()方法
原文:https://www.geeksforgeeks.org/python-pytorch-trunc-method/
PyTorch torch.trunc()方法在去掉数字的小数部分后，返回一个带有输入/的元素的截断整数值的新张量。
语法:
torch.trunc(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.randn(6)
print(a)
# Applying the trunc function and
# storing the result in 'out'
out = torch.trunc(a)
print(out)
输出:
1.1257
0.4493
-0.7309
1.5523
-0.2877
0.1155
[torch.FloatTensor of size 6]
1
0
-0
1
-0
0
[torch.FloatTensor of size 6]
例 2:
# Importing the PyTorch library
import torch
# A constant tensor of size n
a = torch.FloatTensor([1.5, 3.9, -6.9, 3.678])
print(a)
# Applying the trunc function and
# storing the result in 'out'
out = torch.trunc(a)
print(out)
输出:
1.5000
3.9000
-6.9000
3.6780
[torch.FloatTensor of size 4]
1
3
-6
3
[torch.FloatTensor of size 4]
