torch.nn.functional.softmin
torch.nn.functional.softmin(input, dim=None, _stacklevel=3, dtype=None)
Applies a softmin function.
Note that \text{Softmin}(x) = \text{Softmax}(-x). See softmax
   definition for mathematical formula.
See "Softmin" for more details.
Parameters:
      * 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: None.

Return type:
      Tensor