parameters: (self,
                 opt,
                 staleness,
                 use_locking=False,
                 name="DropStaleGradient")
docstring: Constructs a new DropStaleGradientOptimizer.
  
      Args:
        opt: The actual optimizer that will be used to compute and apply the
             gradients. Must be one of the Optimizer classes.
        staleness: The maximum staleness allowed for the optimizer.
        use_locking: If `True` use locks for clip update operations.
        name: Optional name prefix for the operations created when applying
              gradients. Defaults to "DropStaleGradient".
docstring_summary: Constructs a new DropStaleGradientOptimizer.
docstring_tokens: Constructs a new DropStaleGradientOptimizer .
function: def __init__(self,
                 opt,
                 staleness,
                 use_locking=False,
                 name="DropStaleGradient"):
      """Constructs a new DropStaleGradientOptimizer.
  
      Args:
        opt: The actual optimizer that will be used to compute and apply the
             gradients. Must be one of the Optimizer classes.
        staleness: The maximum staleness allowed for the optimizer.
        use_locking: If `True` use locks for clip update operations.
        name: Optional name prefix for the operations created when applying
              gradients. Defaults to "DropStaleGradient".
      """
      super(DropStaleGradientOptimizer, self).__init__(use_locking, name)
      self._opt = opt
      self._staleness = staleness
function_tokens: def __init__ ( self , opt , staleness , use_locking = False , name = "DropStaleGradient" ) : super ( DropStaleGradientOptimizer , self ) . __init__ ( use_locking , name ) self . _opt = opt self . _staleness = staleness