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nnf_softmin

Softmin

Description

Applies a softmin function.

Usage

nnf_softmin(input, dim, dtype = NULL)

Arguments

input

(Tensor) input
dim

(int) A dimension along which softmin will be computed (so every slice along dim will sum to 1).
dtype

(torch.dtype, optional) the desired data type of returned tensor. If specified, the input tensor is casted to dtype before the operation is performed. This is useful for preventing data type overflows. Default: NULL.

Details

Note that

Softmin(x) = Softmax(-x)

.

See nnf_softmax definition for mathematical formula.

torch

Tensors and Neural Networks with 'GPU' Acceleration

v0.3.0
MIT + file LICENSE
Authors
Daniel Falbel [aut, cre, cph], Javier Luraschi [aut], Dmitriy Selivanov [ctb], Athos Damiani [ctb], Christophe Regouby [ctb], Krzysztof Joachimiak [ctb], RStudio [cph]
Initial release

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