Python–PyTorch exp()方法
PyTorch torch.exp()方法在得到输入张量元素的指数后返回一个新的张量。
语法:
torch.exp(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 exp function and
# storing the result in 'out'
out = torch.exp(a)
print(out)
输出:
1.0532
-1.9300
0.6392
-0.7519
0.9133
0.3998
[torch.FloatTensor of size 6]
2.8667
0.1451
1.8949
0.4715
2.4925
1.4915
[torch.FloatTensor of size 6]
例 2:
# Importing the PyTorch library
import torch
# A constant tensor of size n
a = torch.FloatTensor([1, 4, 6, 3])
print(a)
# Applying the exp function and
# storing the result in 'out'
out = torch.exp(a)
print(out)
输出:
1
4
6
3
[torch.FloatTensor of size 4]
2.7183
54.5981
403.4288
20.0855
[torch.FloatTensor of size 4]
