optimizer.py 文件源码

def update_one(self, param, state):
        """Updates a parameter based on the corresponding gradient and state.

        This method calls appropriate one from :meth:`update_param_cpu` or
        :meth:`update_param_gpu`.

        Args:
            param (~chainer.Variable): Parameter variable.
            state (dict): State dictionary.

        """
        if isinstance(param.data, numpy.ndarray):
            self.update_one_cpu(param, state)
        else:
            self.update_one_gpu(param, state)