class_docstr: This is the quantized equivalent of :class:`~torch.nn.ELU`.
  
  Args:
      scale: quantization scale of the output tensor
      zero_point: quantization zero point of the output tensor
      alpha: the alpha constant
class_docstr_tok: ["This","is","the","quantized","equivalent","of",":","class",":","`","~torch.nn.ELU","`",".","Args",":","scale",":","quantization","scale","of","the","output","tensor","zero_point",":","quantization","zero","point","of","the","output","tensor","alpha",":","the","alpha","constant"]
code: def forward(self, input):
      return torch.ao.nn.quantized.functional.elu(
          input, self.scale, self.zero_point, self.alpha
      )
  
imports: import torch
  from warnings import warn
label_desc: Use image node_id 2 for calling the ELU obj's underlying member method code with example usage: obj.forward(input) and returns: torch