option.h

// 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"
// https://github.com/PaddlePaddle/Paddle-Lite/issues/8290
#if (defined(WITH_LITE_STATIC) && defined(WITH_STATIC_LIB))
// Whether to output some warning messages when using the
// FastDepoy static library, default OFF. These messages
// are only reserve for debugging.
#if defined(WITH_STATIC_WARNING)
#warning You are using the FastDeploy static library. We will automatically add some registration codes for ops, kernels and passes for Paddle Lite. // NOLINT
#endif
#if !defined(WITH_STATIC_LIB_AT_COMPILING)
#include "paddle_use_ops.h"       // NOLINT
#include "paddle_use_kernels.h"   // NOLINT
#include "paddle_use_passes.h"    // NOLINT
#endif
#endif

#include <iostream>
#include <memory>
#include <string>
#include <vector>
#include <map>

namespace fastdeploy {

enum LitePowerMode {
  LITE_POWER_HIGH = 0,       
  LITE_POWER_LOW = 1,        
  LITE_POWER_FULL = 2,       
  LITE_POWER_NO_BIND = 3,    
  LITE_POWER_RAND_HIGH = 4,  
  LITE_POWER_RAND_LOW = 5    
};

struct LiteBackendOption {
  int power_mode = 3;
  // Number of threads while use CPU
  int cpu_threads = 1;
  bool enable_fp16 = false;
  // Inference device, Paddle Lite support CPU/KUNLUNXIN/TIMVX/ASCEND
  Device device = Device::CPU;
  // Index of inference device
  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;

  std::string optimized_model_dir = "";
  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 = {};
};
}  // namespace fastdeploy