nn_log_softmax: LogSoftmax module

In torch: Tensors and Neural Networks with 'GPU' Acceleration

LogSoftmax module

Description

Applies the \log(\mbox{Softmax}(x)) function to an n-dimensional input Tensor. The LogSoftmax formulation can be simplified as:

Usage

nn_log_softmax(dim)

Arguments

dim	(int): A dimension along which LogSoftmax will be computed.

Details

\mbox{LogSoftmax}(x_{i}) = \log\left(\frac{\exp(x_i) }{ \sum_j \exp(x_j)} \right)

Value

a Tensor of the same dimension and shape as the input with values in the range [-inf, 0)

Shape

• Input: (*) where * means, any number of additional dimensions

• Output: (*), same shape as the input

Examples

if (torch_is_installed()) {
m <- nn_log_softmax(1)
input <- torch_randn(2, 3)
output <- m(input)
}

torch documentation built on May 29, 2024, 9:54 a.m.