PyTorch
torch / nn / torch.nn
LogSoftmax¶
-
class
torch.nn.
LogSoftmax
(dim: Optional[int] = None)[source]¶ Applies the log(Softmax(x)) function to an n-dimensional input Tensor. The LogSoftmax formulation can be simplified as:
LogSoftmax(xi)=log(∑jexp(xj)exp(xi))- Shape:
Input: (∗) where * means, any number of additional dimensions
Output: (∗) , same shape as the input
- Parameters
dim (int) – A dimension along which LogSoftmax will be computed.
- Returns
a Tensor of the same dimension and shape as the input with values in the range [-inf, 0)
Examples:
>>> m = nn.LogSoftmax() >>> input = torch.randn(2, 3) >>> output = m(input)
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