Python–PyTorch log()方法
PyTorch torch.log()方法给出了一个新的张量，它具有输入张量元素的自然对数。
语法:
torch.log(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, 6, 7, 4])
print(a)
# Applying the log function and
# storing the result in 'out'
out = torch.log(a)
print(out)
输出:
5
6
7
4
[torch.FloatTensor of size 4]
1.6094
1.7918
1.9459
1.3863
[torch.FloatTensor of size 4]
例 2:
# Importing the PyTorch library
import torch
# A constant tensor of size n
a = torch.FloatTensor([1.45, 2.3, 10])
print(a)
# Applying the log function and
# storing the result in 'out'
out = torch.log(a)
print(out)
输出:
1.4500
2.3000
10.0000
[torch.FloatTensor of size 3]
0.3716
0.8329
2.3026
[torch.FloatTensor of size 3]
