/**
 * Copyright (c) Facebook, Inc. and its affiliates.
 *
 * This source code is licensed under the MIT license found in the
 * LICENSE file in the root directory of this source tree.
 */


#pragma once

#include "../Index.h"
#include "utils/MemorySpace.h"

namespace faiss { namespace gpu {

class GpuResources;

struct GpuIndexConfig {
  inline GpuIndexConfig()
      : device(0),
        memorySpace(MemorySpace::Device) {
  }

  /// GPU device on which the index is resident
  int device;

  /// What memory space to use for primary storage.
  /// On Pascal and above (CC 6+) architectures, allows GPUs to use
  /// more memory than is available on the GPU.
  MemorySpace memorySpace;
};

class GpuIndex : public faiss::Index {
 public:
  GpuIndex(GpuResources* resources,
           int dims,
           faiss::MetricType metric,
           GpuIndexConfig config);

  inline int getDevice() const {
    return device_;
  }

  inline GpuResources* getResources() {
    return resources_;
  }

  /// Set the minimum data size for searches (in MiB) for which we use
  /// CPU -> GPU paging
  void setMinPagingSize(size_t size);

  /// Returns the current minimum data size for paged searches
  size_t getMinPagingSize() const;

  /// `x` can be resident on the CPU or any GPU; copies are performed
  /// as needed
  /// Handles paged adds if the add set is too large; calls addInternal_
  void add(faiss::Index::idx_t, const float* x) override;

  /// `x` and `ids` can be resident on the CPU or any GPU; copies are
  /// performed as needed
  /// Handles paged adds if the add set is too large; calls addInternal_
  void add_with_ids(Index::idx_t n,
                    const float* x,
                    const Index::idx_t* ids) override;

  /// `x`, `distances` and `labels` can be resident on the CPU or any
  /// GPU; copies are performed as needed
  void search(Index::idx_t n,
              const float* x,
              Index::idx_t k,
              float* distances,
              Index::idx_t* labels) const override;

 protected:
  /// Does addImpl_ require IDs? If so, and no IDs are provided, we will
  /// generate them sequentially based on the order in which the IDs are added
  virtual bool addImplRequiresIDs_() const = 0;

  /// Overridden to actually perform the add
  /// All data is guaranteed to be resident on our device
  virtual void addImpl_(int n,
                        const float* x,
                        const Index::idx_t* ids) = 0;

  /// Overridden to actually perform the search
  /// All data is guaranteed to be resident on our device
  virtual void searchImpl_(int n,
                           const float* x,
                           int k,
                           float* distances,
                           Index::idx_t* labels) const = 0;

private:
  /// Handles paged adds if the add set is too large, passes to
  /// addImpl_ to actually perform the add for the current page
  void addPaged_(int n,
                 const float* x,
                 const Index::idx_t* ids);

  /// Calls addImpl_ for a single page of GPU-resident data
  void addPage_(int n,
                const float* x,
                const Index::idx_t* ids);

  /// Calls searchImpl_ for a single page of GPU-resident data
  void searchNonPaged_(int n,
                       const float* x,
                       int k,
                       float* outDistancesData,
                       Index::idx_t* outIndicesData) const;

  /// Calls searchImpl_ for a single page of GPU-resident data,
  /// handling paging of the data and copies from the CPU
  void searchFromCpuPaged_(int n,
                           const float* x,
                           int k,
                           float* outDistancesData,
                           Index::idx_t* outIndicesData) const;

 protected:
  /// Manages streams, cuBLAS handles and scratch memory for devices
  GpuResources* resources_;

  /// The GPU device we are resident on
  const int device_;

  /// The memory space of our primary storage on the GPU
  const MemorySpace memorySpace_;

  /// Size above which we page copies from the CPU to GPU
  size_t minPagedSize_;
};

} } // namespace
