/*
All modification made by Intel Corporation: © 2016 Intel Corporation

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Copyright (c) 2014, 2015, The Regents of the University of California (Regents)
All rights reserved.

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Copyright (c) 2014, 2015, the respective contributors
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For the list of contributors go to https://github.com/BVLC/caffe/blob/master/CONTRIBUTORS.md


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modification, are permitted provided that the following conditions are met:

    * Redistributions of source code must retain the above copyright notice,
      this list of conditions and the following disclaimer.
    * Redistributions in binary form must reproduce the above copyright
      notice, this list of conditions and the following disclaimer in the
      documentation and/or other materials provided with the distribution.
    * Neither the name of Intel Corporation nor the names of its contributors
      may be used to endorse or promote products derived from this software
      without specific prior written permission.

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AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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*/

#ifndef CAFFE_MEMORY_DATA_LAYER_HPP_
#define CAFFE_MEMORY_DATA_LAYER_HPP_

#include <vector>

#include "caffe/blob.hpp"
#include "caffe/layer.hpp"
#include "caffe/proto/caffe.pb.h"

#include "caffe/layers/base_data_layer.hpp"

namespace caffe {

/**
 * @brief Provides data to the Net from memory.
 *
 * TODO(dox): thorough documentation for Forward and proto params.
 */
template <typename Dtype>
class MemoryDataLayer : public BaseDataLayer<Dtype> {
 public:
  explicit MemoryDataLayer(const LayerParameter& param)
      : BaseDataLayer<Dtype>(param), has_new_data_(false) {}
  virtual void DataLayerSetUp(const vector<Blob<Dtype>*>& bottom,
      const vector<Blob<Dtype>*>& top);

  virtual inline const char* type() const { return "MemoryData"; }
  virtual inline int ExactNumBottomBlobs() const { return 0; }
  virtual inline int ExactNumTopBlobs() const { return 2; }

  virtual void AddDatumVector(const vector<Datum>& datum_vector);
#ifdef USE_OPENCV
  virtual void AddMatVector(const vector<cv::Mat>& mat_vector,
      const vector<int>& labels);
#endif  // USE_OPENCV

  // Reset should accept const pointers, but can't, because the memory
  //  will be given to Blob, which is mutable
  void Reset(Dtype* data, Dtype* label, int n);
  void set_batch_size(int new_size);

  int batch_size() { return batch_size_; }
  int channels() { return channels_; }
  int height() { return height_; }
  int width() { return width_; }

 protected:
  virtual void Forward_cpu(const vector<Blob<Dtype>*>& bottom,
      const vector<Blob<Dtype>*>& top);

  int batch_size_, channels_, height_, width_, size_;
  Dtype* data_;
  Dtype* labels_;
  int n_;
  size_t pos_;
  Blob<Dtype> added_data_;
  Blob<Dtype> added_label_;
  bool has_new_data_;
};

}  // namespace caffe

#endif  // CAFFE_MEMORY_DATA_LAYER_HPP_
