Applies a softmin function.

## 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.