# torch.nn.functional.softmin¶

torch.nn.functional.softmin(input, dim=None, _stacklevel=3, dtype=None)[source]

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.