docstr: Ivy.Array instance method variant of ivy.elu. This method simply
  wraps the function, and so the docstring for ivy.elu also applies to
  this method with minimal.
  
  Parameters
  ----------
  self
      input array.
  alpha
      scaler for controlling the slope of the function for x <= 0 Default: 1.0
  out
      optional output array, for writing the result to. It must have a shape
      that the inputs broadcast to.
  
  Returns
  -------
  ret
      an array with the elu activation function applied element-wise.
  
  Examples
  --------
  >>> x = ivy.array([0.39, -0.85])
  >>> y = x.elu()
  >>> print(y)
  ivy.array([ 0.39, -0.57])
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code: def elu(
      self,
      /,
      *,
      alpha: float = 1.0,
      out: Optional[ivy.Array] = None,
  ) -> ivy.Array:
      """Ivy.Array instance method variant of ivy.elu. This method simply
      wraps the function, and so the docstring for ivy.elu also applies to
      this method with minimal.
  
      Parameters
      ----------
      self
          input array.
      alpha
          scaler for controlling the slope of the function for x <= 0 Default: 1.0
      out
          optional output array, for writing the result to. It must have a shape
          that the inputs broadcast to.
  
      Returns
      -------
      ret
          an array with the elu activation function applied element-wise.
  
      Examples
      --------
      >>> x = ivy.array([0.39, -0.85])
      >>> y = x.elu()
      >>> print(y)
      ivy.array([ 0.39, -0.57])
      """
      return ivy.elu(self._data, alpha=alpha, out=out)
  
file_path: ivy/ivy/data_classes/array/experimental/activations.py
imports: import abc
  from typing import Optional, Union, Literal
  import ivy
label_desc: Use image node_id 8 for calling the _ArrayWithActivationsExperimental obj's underlying member method code with example usage: obj.elu() and returns: ivy