/*
 * Copyright (c) 2018 Samsung Electronics Co., Ltd. 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.
 */

#ifndef __NEURUN_KERNEL_CPU_FULLYCONNECTEDLAYER_H__
#define __NEURUN_KERNEL_CPU_FULLYCONNECTEDLAYER_H__

#include <NeuralNetworks.h>

#include <arm_compute/runtime/IFunction.h>

#include "kernel/cpu/OperationUtils.h"

namespace neurun
{
namespace kernel
{
namespace cpu
{

class FullyConnectedLayer : public ::arm_compute::IFunction
{
public:
  FullyConnectedLayer();

public:
  bool fullyConnectedFloat32();

  bool fullyConnectedQuant8();

  void configure(uint8_t *inputData, const Shape inputShape, uint8_t *weightsData,
                 const Shape weightsShape, uint8_t *biasData, const Shape biasShape,
                 FuseCode activation, uint8_t *outputData, const Shape outputShape);

  void run();

private:
  uint8_t *_inputData;
  uint8_t *_weightsData;
  uint8_t *_biasData;
  uint8_t *_outputData;

  Shape _inputShape;
  Shape _weightsShape;
  Shape _biasShape;
  Shape _outputShape;

  FuseCode _activation;

  OperandType _inputType;
};

} // namespace cpu
} // namespace kernel
} // namespace neurun

#endif // __NEURUN_KERNEL_CPU_FULLYCONNECTEDLAYER_H__