Torch.max

>>> a = torch.randn(4, 4)
>>> a
tensor([[-1.2360, -0.2942, -0.1222,  0.8475],
        [ 1.1949, -1.1127, -2.2379, -0.6702],
        [ 1.5717, -0.9207,  0.1297, -1.8768],
        [-0.6172,  1.0036, -0.6060, -0.2432]])
>>> torch.max(a, 1)
torch.return_types.max(values=tensor([0.8475, 1.1949, 1.5717, 1.0036]), indices=tensor([3, 0, 0, 1]))

Source: pytorch.org

Similar codes

3 votes152 views1 answer
Find all index of element in list python
Python
0 vote218 views1 answer
How to get left click input in pygame
Python
1 vote231 views6 answers
Tuples in python
Python
1 vote175 views1 answer
How to redirect to another page in django after login
Python
1 vote291 views1 answer
Not null constraint failed django
Python Django
1 vote184 views4 answers
Arithmetic operators in python
Python
0 vote188 views2 answers
Random array in python
Python
1 vote194 views1 answer
Remainder identifying python
Python
0 vote142 views1 answer
Change python version 3 to 2.7
Python
1 vote145 views1 answer
Reverse slice python
Python