tensorplay.nn.functional.silu

tensorplay.nn.functional.silu(input: TensorBase, inplace: bool = False) → TensorBase[source]

Apply the Sigmoid Linear Unit (SiLU) function, element-wise.

The SiLU function is also known as the swish function.

$$\text{silu}(x) = x * \sigma(x), \text{where } \sigma(x) \text{ is the logistic sigmoid.}$$

Note

See Gaussian Error Linear Units (GELUs) where the SiLU (Sigmoid Linear Unit) was originally coined, and see Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning and Swish: a Self-Gated Activation Function where the SiLU was experimented with later.

See SiLU for more details.