code: def _silu_python(x):
      """
      See Gaussian Error Linear Units (Hendrycks et al., https://arxiv.org/abs/1606.08415) where the SiLU (Sigmoid Linear
      Unit) was originally introduced and coined, and see Sigmoid-Weighted Linear Units for Neural Network Function
      Approximation in Reinforcement Learning (Elfwing et al., https://arxiv.org/abs/1702.03118) and Swish: a Self-Gated
      Activation Function (Ramachandran et al., https://arxiv.org/abs/1710.05941v1) where the SiLU was experimented with
      later.
      """
      return x * torch.sigmoid(x)
  
file_path: fastNLP/fastNLP/transformers/torch/activations.py
imports: import math
  from packaging import version
  from fastNLP.envs.imports import _NEED_IMPORT_TORCH
  from fastNLP.core.log import logger
label_desc: Use image node_id 5 for calling a global function with example usage: _silu_python(x) and returns: unknown