Returns the maximum value of each slice of the input tensor in the given dimension(s) dim.
If keepdim is True, the output tensor is of the same size as input except in the dimension(s) dim where it is of size 1. Otherwise, dim is squeezed (see torch.squeeze()), resulting in the output tensor having 1 (or len(dim)) fewer dimension(s).
>>> a = torch.randn(4, 4)
>>> a
tensor([[ 0.8177, 1.4878, -0.2491, 0.9130],
[-0.7158, 1.1775, 2.0992, 0.4817],
[-0.0053, 0.0164, -1.3738, -0.0507],
[ 1.9700, 1.1106, -1.0318, -1.0816]])
>>> torch.amax(a, 1)
tensor([1.4878, 2.0992, 0.0164, 1.9700])
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