class_docstr: Update rule for the corrected momentum SGD.
  
  See :class:`~chainer.optimizers.CorrectedMomentumSGD` for the default
  values of the hyperparameters.
  
  Args:
      parent_hyperparam (~chainer.optimizer.Hyperparameter): Hyperparameter
          that provides the default values.
      lr (float): Learning rate.
      momentum (float): Exponential decay rate of the first order moment.
class_docstr_tok: ["Update","rule","for","the","corrected","momentum","SGD",".","See",":","class",":","`","~chainer.optimizers.CorrectedMomentumSGD","`","for","the","default","values","of","the","hyperparameters",".","Args",":","parent_hyperparam","(","~chainer.optimizer.Hyperparameter",")",":","Hyperparameter","that","provides","the","default","values",".","lr","(","float",")",":","Learning","rate",".","momentum","(","float",")",":","Exponential","decay","rate","of","the","first","order","moment","."]
code: def init_state(self, param):
      with chainer.using_device(param.device):
          self.state["v"] = param.device.xp.zeros_like(param.data)
  
      # For iDeep
      if isinstance(param.data, intel64.mdarray):
          self.state["v"] = intel64.ideep.array(
              self.state["v"], itype=intel64.ideep.wgt_array
          )
  
file_path: chainer/chainer/optimizers/corrected_momentum_sgd.py
imports: import chainer
  from chainer.backends import cuda
  from chainer.backends import intel64
  from chainer import optimizer
  from chainer import types
label_desc: Use image node_id 2 for calling the CorrectedMomentumSGDRule obj's underlying member method code with example usage: obj.init_state(param) without return types