code: def deriv_elu(F, x: Tensor, alpha: float = 1.0) -> Tensor:
      """
      Derivative function of Elu activation computed at point `x`.
  
      Parameters
      ----------
      F
          A module that can either refer to the Symbol API or the NDArray API in
          MXNet.
      x
          Input tensor
      alpha
          alpha parameter of Elu
  
      Returns
      -------
      Tensor
          Derivative tensor
      """
      m = x > 0
      return m + (1 - m) * (
          F.LeakyReLU(x, act_type="elu", slope=alpha) + alpha
      )
  
file_path: gluonts/src/gluonts/mx/activation.py
imports: from functools import partial
  from typing import Callable
  import mxnet
  import mxnet.gluon.nn
  from gluonts.core.component import validated
  from gluonts.mx import Tensor
label_desc: Use image node_id 5 for calling a global function with example usage: deriv_elu(F, x, alpha) and returns: unknown