class_docstr: The layer that calculates the "leaky" ReLU activation function
  for each element of the single input:
  
  - :math:`f(x) = alpha * x`    if :math:`x \le 0`
  - :math:`f(x) = x`            if :math:`x > 0`
  
  :param input_layer: The input layer and the number of its output. If no number
      is specified, the first output will be connected.
  :type input_layer: object, tuple(object, int)
  :param alpha: The multiplier used for negative values of x.    
  :type alpha: float, default=0
  :param name: The layer name.
  :type name: str, default=None
  
  .. rubric:: Layer inputs:
  
  (1) a data blob of any size
  
  .. rubric:: Layer outputs:
  
  (1) a data blob of the same size as the input,
      with activation function values on each of the input elements
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docstr: Sets the multiplier used for negative values of x.
          
docstr_tok: ["Sets","the","multiplier","used","for","negative","values","of","x","."]
code: def alpha(self, alpha):
      """Sets the multiplier used for negative values of x."""
  
      self._internal.set_alpha(alpha)
  
imports: import neoml.PythonWrapper
  from .Dnn import Layer
  from neoml.Utils import check_input_layers
  import typing
label_desc: Use image node_id 3 for calling the LeakyReLU obj's underlying member method code with example usage: obj.alpha(alpha) without return types