/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.

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. */

#ifndef PADDLECAPI_H_
#define PADDLECAPI_H_
#include <stdbool.h>
#include <stdint.h>
#include "config.h"
#ifdef __cplusplus
extern "C" {
#endif

/**
 * Paddle C API. It will replace SWIG as Multiple Language API for model
 * training & inference. Currently it is only used in model infernece.
 *
 * NOTE: This is an experimental API, it could be changed.
 */

/**
 * Error Type for Paddle API.
 */
typedef enum {
  kPD_NO_ERROR = 0,
  kPD_NULLPTR = 1,
  kPD_OUT_OF_RANGE = 2,
  kPD_PROTOBUF_ERROR = 3,
  kPD_UNDEFINED_ERROR = -1,
} PD_Error;

/**
 * Int Vector Functions. Return will be a PD_Error type.
 */
typedef void* PD_IVector;

int PDIVecCreateNone(PD_IVector* ivec);

int PDIVecDestroy(PD_IVector ivec);

int PDIVectorGet(PD_IVector ivec, int** buffer);

/**
 * Matrix functions. Return will be a PD_Error type.
 */
typedef void* PD_Matrix;

int PDMatCreate(PD_Matrix* mat, uint64_t height, uint64_t width, bool useGpu);

int PDMatDestroy(PD_Matrix mat);

int PDMatCopyToRow(PD_Matrix mat, uint64_t rowID, pd_real* rowArray);

int PDMatGetRow(PD_Matrix mat, uint64_t rowID, pd_real** rawRowBuffer);

int PDMatCreateNone(PD_Matrix* mat);

int PDMatGetShape(PD_Matrix mat, uint64_t* height, uint64_t* width);

/**
 * Arguments functions. Each argument means layer output. Arguments means a
 * array of arguemnt.
 */
typedef void* PD_Arguments;

int PDArgsCreateNone(PD_Arguments* args);

int PDArgsDestroy(PD_Arguments args);

int PDArgsGetSize(PD_Arguments args, uint64_t* size);

int PDArgsResize(PD_Arguments args, uint64_t size);

int PDArgsSetValue(PD_Arguments args, uint64_t ID, PD_Matrix mat);

int PDArgsGetValue(PD_Arguments args, uint64_t ID, PD_Matrix mat);

int PDArgsGetIds(PD_Arguments args, uint64_t ID, PD_IVector ids);

/**
 * @brief GradientMachine means a neural network.
 */
typedef void* PD_GradientMachine;

int PDGradientMachineCreateForPredict(PD_GradientMachine* machine,
                                      void* modelConfigProtobuf,
                                      int size);

int PDGradientMachineLoadParameterFromDisk(PD_GradientMachine machine,
                                           const char* path);

int PDGradientMachineForward(PD_GradientMachine machine,
                             PD_Arguments inArgs,
                             PD_Arguments outArgs,
                             bool isTrain);

int PDGradientMachineCreateSharedParam(PD_GradientMachine origin,
                                       void* modelConfigProtobuf,
                                       int size,
                                       PD_GradientMachine* slave);

int PDGradientMachineDestroy(PD_GradientMachine machine);

/**
 * Initialize Paddle.
 */
int PDInit(int argc, char** argv);

#ifdef __cplusplus
}
#endif

#endif  // PADDLECAPI_H_