def _gen_output_dataset(self):
    ''' 组织输出数据的dataset结构 '''
    output_num = acl.mdl.get_num_outputs(self.model_desc)  # 根据模型信息得到模型输出个数
    self.load_output_dataset = acl.mdl.create_dataset()  # 创建输出dataset结构
    for i in range(output_num):
        temp_buffer_size = acl.mdl.get_output_size_by_index(self.model_desc, i)  # 获取模型输出个数
        temp_buffer, ret = acl.rt.malloc(temp_buffer_size, ACL_MEM_MALLOC_HUGE_FIRST)  # 为每个输出申请device内存
        dataset_buffer = acl.create_data_buffer(temp_buffer, temp_buffer_size)  # 创建输出的data buffer结构,将申请的内存填入data buffer
        _, ret = acl.mdl.add_dataset_buffer(self.load_output_dataset, dataset_buffer)  # 将 data buffer 加入输出dataset
    print("create model output dataset success")

buffer = acl.mdl.get_dataset_buffer(self.load_output_dataset, i)  # 从输出dataset中获取buffer
data = acl.get_data_buffer_addr(buffer)  # 获取输出数据内存地址
size = acl.get_data_buffer_size(buffer)  # 获取输出数据字节数
narray = acl.util.ptr_to_bytes(data, size)  # 将指针转为字节流数据