log_softmax¶
dragon.nn.
log_softmax
(
inputs,
axis=- 1,
inplace=False,
**kwargs
)[source]¶Compute the composite of logarithm and softmax.
The LogSoftmax function is defined as:
\[\text{LogSoftmax}(x) = \log(\frac{\exp(x_{i})}{\sum \exp(x_{j})}) \]The argument
axis
could be negative:x = dragon.random.uniform((2, 3), -0.1, 0.1) print(dragon.nn.log_softmax(x, 1)) print(dragon.nn.log_softmax(x, -1)) # Equivalent
- Parameters:
- inputs (dragon.Tensor) – The input tensor.
- axis (int, optional, default=-1) – The axis to reduce.
- inplace (bool, optional, default=False) – Call in-place or return a new tensor.
- Returns:
dragon.Tensor – The output tensor.