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torch.max pytorch

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Enthusiastic Eland answered on June 13, 2020 Popularity 10/10 Helpfulness 4/10

answer torch.max pytorch

related torch max value

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torch.max pytorch

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>>> 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(input, dim, keepdim=False, out=None) 
>>> torch.max(a, 1)
torch.return_types.max(values=tensor([0.8475, 1.1949, 1.5717, 1.0036]), indices=tensor([3, 0, 0, 1]))

Popularity 10/10 Helpfulness 4/10 Language python

Source: pytorch.org

Tags: python pytorch

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Contributed on Jun 13 2020

Enthusiastic Eland

0 Answers Avg Quality 2/10

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torch max value

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>>> a = torch.randn(1, 3)
>>> a
tensor([[ 0.6763,  0.7445, -2.2369]])
>>> torch.max(a)
tensor(0.7445)

Popularity 9/10 Helpfulness 3/10 Language python

Source: pytorch.org

Tags: max python

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Contributed on Oct 26 2023

Jerson Rodriguez Narvaez

0 Answers Avg Quality 2/10

torch.max

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>>> 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]))

Popularity 10/10 Helpfulness 2/10 Language python

Source: pytorch.org

Tags: python py

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Contributed on Oct 04 2021

Sparkling Salmon

0 Answers Avg Quality 2/10

torch.max pytorch

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