sigmoid¶

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

Apply the sigmoid function to input.

The Sigmoid function is defined as:

\[\text{Sigmoid}(x) = \frac{1}{1 + \exp(-x)} \]

Parameters:

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

Returns:

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

See also

torch.nn.Sigmoid(…)