class_docstr: Update rule for Alex Graves's RMSprop.
  
  See :class:`~chainer.optimizers.RMSpropGraves` for the default values of
  the hyperparameters.
  
  Args:
      parent_hyperparam (~chainer.optimizer.Hyperparameter): Hyperparameter
          that provides the default values.
      lr (float): Learning rate.
      alpha (float): Exponential decay rate of the first and second order
          moments of the raw gradient.
      momentum (float): Exponential decay rate of the first order moment of
          the adjusted gradient.
      eps (float): Small value for the numerical stability.
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code: def __init__(
      self,
      parent_hyperparam=None,
      lr=None,
      alpha=None,
      momentum=None,
      eps=None,
  ):
      super(RMSpropGravesRule, self).__init__(
          parent_hyperparam or _default_hyperparam
      )
      if lr is not None:
          self.hyperparam.lr = lr
      if alpha is not None:
          self.hyperparam.alpha = alpha
      if momentum is not None:
          self.hyperparam.momentum = momentum
      if eps is not None:
          self.hyperparam.eps = eps
  
file_path: chainer/chainer/optimizers/rmsprop_graves.py
imports: import numpy
  import chainer
  from chainer.backends import cuda
  from chainer import optimizer
  from chainer import types
label_desc: Use image node_id 1 to create a new RMSpropGravesRule object from inherited base classes: optimizer with example: obj = RMSpropGravesRule(parent_hyperparam, lr, alpha, momentum, eps)