Softmax¶

class dragon.vm.torch.nn.Softmax(
  dim,
  inplace=False
)[source]¶

Apply the softmax function.

The Softmax function is defined as:

\[\text{Softmax}(x_{i}) = \frac{\exp(x_{i})}{\sum_{j} \exp(x_{j})} \]

Examples:

m = torch.nn.Softmax(dim=1)
x = torch.randn(2, 3)
y = m(x)

See also

torch.nn.functional.softmax(…)