class_docstr: Update rule of Zeiler's ADADELTA.
  
  See :class:`~chainer.optimizers.AdaDelta` for the default values of the
  hyperparameters.
  
  Args:
      parent_hyperparam (~chainer.optimizer.Hyperparameter): Hyperparameter
          that provides the default values.
      rho (float): Exponential decay rate of the first and second order
          moments.
      eps (float): Small value for the numerical stability.
class_docstr_tok: ["Update","rule","of","Zeiler","'s","ADADELTA",".","See",":","class",":","`","~chainer.optimizers.AdaDelta","`","for","the","default","values","of","the","hyperparameters",".","Args",":","parent_hyperparam","(","~chainer.optimizer.Hyperparameter",")",":","Hyperparameter","that","provides","the","default","values",".","rho","(","float",")",":","Exponential","decay","rate","of","the","first","and","second","order","moments",".","eps","(","float",")",":","Small","value","for","the","numerical","stability","."]
code: def update_core_gpu(self, param):
      grad = param.grad
      if grad is None:
          return
      if AdaDeltaRule._kernel is None:
          AdaDeltaRule._kernel = cuda.elementwise(
              "T grad, T one_minus_rho, T eps",
              "T param, T msg, T msdx",
              """msg   = msg + one_minus_rho * (grad * grad - msg);
                     T dx  = sqrt((msdx + eps) / (msg + eps)) * grad;
                     msdx  += one_minus_rho * (dx * dx - msdx);
                     param -= dx;""",
              "adadelta",
          )
      AdaDeltaRule._kernel(
          grad,
          1 - self.hyperparam.rho,
          self.hyperparam.eps,
          param.data,
          self.state["msg"],
          self.state["msdx"],
      )
  
file_path: chainer/chainer/optimizers/ada_delta.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 4 for calling the AdaDeltaRule obj's underlying member method code with example usage: obj.update_core_gpu(param) without return types