nn_softmin function

Softmin

Applies the Softmin function to an n-dimensional input Tensor rescaling them so that the elements of the n-dimensional output Tensor lie in the range [0, 1] and sum to 1. Softmin is defined as:

nn_softmin(dim)

Arguments

• dim: (int): A dimension along which Softmin will be computed (so every slice along dim will sum to 1).

Returns

a Tensor of the same dimension and shape as the input, with values in the range [0, 1].

Details

Shape

• Input: $(*)$ where * means, any number of additional dimensions
• Output: $(*)$, same shape as the input

Examples

if (torch_is_installed()) {
m <- nn_softmin(dim = 1)
input <- torch_randn(2, 2)
output <- m(input)
}