class_docstr: Exponential Linear Unit (ELU)
      "Fast and Accurate Deep Network Learning by Exponential Linear Units", Clevert et al, 2016
      https://arxiv.org/abs/1511.07289
      Published as a conference paper at ICLR 2016
  
  Parameters
  ----------
  alpha : float
      The alpha parameter as described by Clevert et al, 2016
  
  
  Inputs:
      - **data**: input tensor with arbitrary shape.
  
  Outputs:
      - **out**: output tensor with the same shape as `data`.
code: def __init__(self, alpha=1.0, **kwargs):
      super(ELU, self).__init__(**kwargs)
      self._alpha = alpha
  
imports: from ...None import initializer, npx
  from ..block import HybridBlock
  from ..parameter import Parameter
  from ...util import use_np
label_desc: Use image node_id 1 to create a new ELU object from inherited base classes: HybridBlock with example: obj = ELU(alpha)