/* Copyright (c) 2018 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 <string>
#include <unordered_map>
#include <utility>
#include <vector>

namespace paddle_mobile {
enum class Precision : int { FP32 = 0 };

template <Precision p>
struct PrecisionTrait {
  typedef void ptype;
};

template <>
struct PrecisionTrait<Precision::FP32> {
  typedef float ptype;
};

//! device type
enum DeviceTypeEnum { kINVALID = -1, kCPU = 0, kFPGA = 1, kGPU_MALI = 2 };

template <DeviceTypeEnum T>
struct DeviceType {};

typedef DeviceType<kCPU> CPU;
typedef DeviceType<kFPGA> FPGA;
typedef DeviceType<kGPU_MALI> GPU_MALI;

//! data type
enum DataType {
  PM_INVALID = -1,
  PM_HALF = 0,
  PM_FLOAT = 1,
  PM_DOUBLE = 2,
  PM_INT8 = 3,
  PM_INT16 = 4,
  PM_INT32 = 5,
  PM_INT64 = 6,
  PM_UINT8 = 7,
  PM_UINT16 = 8,
  PM_UINT32 = 9,
  PM_STRING = 10,
  PM_BOOL = 11,
  PM_SHAPE = 12,
  PM_TENSOR = 13
};
//!
enum PMStatus {
  PMSuccess = 0xFF,        /*!< No errors */
  PMNotInitialized = 0x01, /*!< Data not initialized. */
  PMInvalidValue = 0x02,   /*!< Incorrect variable value. */
  PMMemAllocFailed = 0x03, /*!< Memory allocation error. */
  PMUnKownError = 0x04,    /*!< Unknown error. */
  PMOutOfAuthority = 0x05, /*!< Try to modified data not your own*/
  PMOutOfMem = 0x06,       /*!< OOM error*/
  PMUnImplError = 0x07,    /*!< Unimplement error. */
  PMWrongDevice = 0x08     /*!< un-correct device. */
};

extern const std::string G_OP_TYPE_CONV;
extern const std::string G_OP_TYPE_BATCHNORM;
extern const std::string G_OP_TYPE_BOX_CODER;
extern const std::string G_OP_TYPE_CONCAT;
extern const std::string G_OP_TYPE_ELEMENTWISE_ADD;
extern const std::string G_OP_TYPE_FUSION_CONV_ADD_RELU;
extern const std::string G_OP_TYPE_FC;
extern const std::string G_OP_TYPE_FUSION_CONV_ADD;
extern const std::string G_OP_TYPE_FUSION_CONV_ADD_BN_RELU;
extern const std::string G_OP_TYPE_FUSION_DWCONV_BN_RELU;
extern const std::string G_OP_TYPE_FUSION_CONV_BN_RELU;

extern const std::string G_OP_TYPE_LRN;
extern const std::string G_OP_TYPE_MUL;
extern const std::string G_OP_TYPE_MULTICLASS_NMS;
extern const std::string G_OP_TYPE_POOL2D;
extern const std::string G_OP_TYPE_PRIOR_BOX;
extern const std::string G_OP_TYPE_RELU;
extern const std::string G_OP_TYPE_RESHAPE;
extern const std::string G_OP_TYPE_SIGMOID;
extern const std::string G_OP_TYPE_SOFTMAX;
extern const std::string G_OP_TYPE_TRANSPOSE;
extern const std::string G_OP_TYPE_SPLIT;
extern const std::string G_OP_TYPE_FEED;
extern const std::string G_OP_TYPE_FETCH;
extern const std::string G_OP_TYPE_DEPTHWISE_CONV;
extern const std::string G_OP_TYPE_IM2SEQUENCE;
extern const std::string G_OP_TYPE_DROPOUT;

extern std::unordered_map<
    std::string, std::pair<std::vector<std::string>, std::vector<std::string>>>
    op_input_output_key;

}  // namespace paddle_mobile