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

0 vote345 views1 answer
Validate delete inline formset django
Python Django
0 vote284 views1 answer
Pivot table with lambda
Python
0 vote308 views1 answer
Jupyter notebook loading bar
Python
80 votes306 views21 answers
Python syntax cheat sheet
Python
8 votes278 views1 answer
Python get actual timestamp
Python
0 vote279 views1 answer
2600/6
Python
0 vote338 views1 answer
Query dict immuteable
Python
3 votes247 views1 answer
Time decorator python
Python
0 vote299 views1 answer
Taggablemanager serializer django
Python
11 votes292 views6 answers
Pandas join two columns
Python