parameters: (opt, decay, epsilon, momentum, learning_rate, weight, mg, ms, mom, grad)
return_statement: return success
docstring: Apply centered rmsprop optimizer to the weight parameter using dynamic learning rate.
docstring_summary: Apply centered rmsprop optimizer to the weight parameter using dynamic learning rate.
docstring_tokens: Apply centered rmsprop optimizer to the weight parameter using dynamic learning rate .
function: def _centered_rmsprop_opt_(opt, decay, epsilon, momentum, learning_rate, weight, mg, ms, mom, grad):
      """Apply centered rmsprop optimizer to the weight parameter using dynamic learning rate."""
      success = True
      success = F.depend(success, opt(weight, mg, ms, mom, grad, learning_rate, decay, momentum, epsilon))
      return success
function_tokens: def _centered_rmsprop_opt_ ( opt , decay , epsilon , momentum , learning_rate , weight , mg , ms , mom , grad ) : success = True success = F . depend ( success , opt ( weight , mg , ms , mom , grad , learning_rate , decay , momentum , epsilon ) ) return success