// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
//     http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

#pragma once

#include "fastdeploy/core/fd_type.h"
#include <iostream>
#include <memory>
#include <string>
#include <vector>
#include <map>
namespace fastdeploy {

/*! Paddle Lite power mode for mobile device. */
enum LitePowerMode {
  LITE_POWER_HIGH = 0,       ///< Use Lite Backend with high power mode
  LITE_POWER_LOW = 1,        ///< Use Lite Backend with low power mode
  LITE_POWER_FULL = 2,       ///< Use Lite Backend with full power mode
  LITE_POWER_NO_BIND = 3,    ///< Use Lite Backend with no bind power mode
  LITE_POWER_RAND_HIGH = 4,  ///< Use Lite Backend with rand high mode
  LITE_POWER_RAND_LOW = 5    ///< Use Lite Backend with rand low power mode
};

struct LiteBackendOption {
  // cpu num threads
  int threads = 1;
  // lite power mode
  // 0: LITE_POWER_HIGH
  // 1: LITE_POWER_LOW
  // 2: LITE_POWER_FULL
  // 3: LITE_POWER_NO_BIND
  // 4: LITE_POWER_RAND_HIGH
  // 5: LITE_POWER_RAND_LOW
  int power_mode = 3;
  // enable fp16
  bool enable_fp16 = false;
  // enable int8
  bool enable_int8 = false;
  // optimized model dir for CxxConfig
  std::string optimized_model_dir = "";
  // TODO(qiuyanjun): support more options for lite backend.
  // Such as fp16, different device target (kARM/kXPU/kNPU/...)
  std::string nnadapter_subgraph_partition_config_path = "";
  std::string nnadapter_subgraph_partition_config_buffer = "";
  std::string nnadapter_context_properties = "";
  std::string nnadapter_model_cache_dir = "";
  std::string nnadapter_mixed_precision_quantization_config_path = "";
  std::map<std::string, std::vector<std::vector<int64_t>>>
    nnadapter_dynamic_shape_info = {{"", {{0}}}};
  std::vector<std::string> nnadapter_device_names = {};
  bool enable_timvx = false;
  bool enable_ascend = false;
  bool enable_kunlunxin = false;
  int device_id = 0;
  int kunlunxin_l3_workspace_size = 0xfffc00;
  bool kunlunxin_locked = false;
  bool kunlunxin_autotune = true;
  std::string kunlunxin_autotune_file = "";
  std::string kunlunxin_precision = "int16";
  bool kunlunxin_adaptive_seqlen = false;
  bool kunlunxin_enable_multi_stream = false;
};
}  // namespace fastdeploy