softmax¶

dragon.vm.torch.nn.functional.softmax(
  input,
  dim,
  inplace=False
)[source]¶

Apply the softmax function to input.

The Softmax function is defined as:

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

Parameters:

• input (dragon.vm.torch.Tensor) – The input tensor.
• dim (int) – The dimension to reduce.
• inplace (bool, optional, default=False) – Whether to do the operation in-place.

Returns:

dragon.vm.torch.Tensor – The output tensor.

See also

torch.nn.Softmax(…)