LogSoftmax¶
- class
dragon.vm.torch.nn.
LogSoftmax
(
dim,
inplace=False
)[source]¶ Apply the composite of logarithm and softmax.
The LogSoftmax function is defined as:
\[\text{LogSoftmax}(x) = \log(\frac{\exp(x_{i})}{\sum \exp(x_{j})}) \]Examples:
m = torch.nn.LogSoftmax(dim=1) x = torch.randn(2, 3) y = m(x)
See also