Zoltan2_BasicVectorAdapter.hpp

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// @HEADER
// *****************************************************************************
//   Zoltan2: A package of combinatorial algorithms for scientific computing
//
// Copyright 2012 NTESS and the Zoltan2 contributors.
// SPDX-License-Identifier: BSD-3-Clause
// *****************************************************************************
// @HEADER

 
#ifndef _ZOLTAN2_BASICVECTORADAPTER_HPP_
#define _ZOLTAN2_BASICVECTORADAPTER_HPP_
 
#include "Zoltan2_Adapter.hpp"
#include <Zoltan2_StridedData.hpp>
#include <Zoltan2_VectorAdapter.hpp>
 
namespace Zoltan2 {

 
template <typename User> class BasicVectorAdapter : public VectorAdapter<User> {
 
public:
#ifndef DOXYGEN_SHOULD_SKIP_THIS
 
  using scalar_t = typename InputTraits<User>::scalar_t;
  using lno_t = typename InputTraits<User>::lno_t;
  using gno_t = typename InputTraits<User>::gno_t;
  using offset_t = typename InputTraits<User>::offset_t;
  using part_t = typename InputTraits<User>::part_t;
  using node_t = typename InputTraits<User>::node_t;
  using user_t = User;
  using Base = BaseAdapter<User>;
 
#endif

 
  BasicVectorAdapter(lno_t numIds, const gno_t *ids, const scalar_t *entries,
                     int entryStride = 1, bool usewgts = false,
                     const scalar_t *wgts = NULL, int wgtStride = 1)
      : numIds_(numIds), idList_(ids), numEntriesPerID_(1),
        numWeights_(usewgts == true) {
    std::vector<const scalar_t *> values;
    std::vector<int> strides;
    std::vector<const scalar_t *> weightValues;
    std::vector<int> weightStrides;
 
    values.push_back(entries);
    strides.push_back(entryStride);
    if (usewgts) {
      weightValues.push_back(wgts);
      weightStrides.push_back(wgtStride);
    }
 
    createBasicVector(values, strides, weightValues, weightStrides);
  }

 
  BasicVectorAdapter(lno_t numIds, const gno_t *ids,
                     std::vector<const scalar_t *> &entries,
                     std::vector<int> &entryStride,
                     std::vector<const scalar_t *> &weights,
                     std::vector<int> &weightStrides)
      : numIds_(numIds), idList_(ids), numEntriesPerID_(entries.size()),
        numWeights_(weights.size()) {
    createBasicVector(entries, entryStride, weights, weightStrides);
  }

 
  BasicVectorAdapter(lno_t numIds, const gno_t *ids, const scalar_t *x,
                     const scalar_t *y, const scalar_t *z, int xStride = 1,
                     int yStride = 1, int zStride = 1, bool usewgts = false,
                     const scalar_t *wgts = NULL, int wgtStride = 1)
      : numIds_(numIds), idList_(ids), numEntriesPerID_(0),
        numWeights_(usewgts == true) {
    std::vector<const scalar_t *> values, weightValues;
    std::vector<int> strides, weightStrides;
 
    if (x) {
      values.push_back(x);
      strides.push_back(xStride);
      numEntriesPerID_++;
      if (y) {
        values.push_back(y);
        strides.push_back(yStride);
        numEntriesPerID_++;
        if (z) {
          values.push_back(z);
          strides.push_back(zStride);
          numEntriesPerID_++;
        }
      }
    }
    if (usewgts) {
      weightValues.push_back(wgts);
      weightStrides.push_back(wgtStride);
    }
    createBasicVector(values, strides, weightValues, weightStrides);
  }

  // The Adapter interface.
 
  size_t getLocalNumIDs() const { return numIds_; }
 
  void getIDsView(const gno_t *&ids) const { ids = idList_; }
 
  void getIDsKokkosView(typename Base::ConstIdsDeviceView &ids) const {
    ids = this->kIds_;
  }
 
  void getIDsHostView(typename Base::ConstIdsHostView &ids) const override {
    auto hostIds = Kokkos::create_mirror_view(this->kIds_);
    Kokkos::deep_copy(hostIds, this->kIds_);
    ids = hostIds;
  }
 
  void getIDsDeviceView(typename Base::ConstIdsDeviceView &ids) const override {
    ids = this->kIds_;
  }
 
  int getNumWeightsPerID() const { return numWeights_; }
 
  virtual void
  getWeightsKokkos2dView(typename Base::WeightsDeviceView &wgt) const {
    wgt = kWeights_;
  }
 
  void getWeightsView(const scalar_t *&weights, int &stride, int idx) const {
    AssertCondition((idx >= 0) and (idx < numWeights_),
                    "Invalid weight index.");
 
    size_t length;
    weights_[idx].getStridedList(length, weights, stride);
  }
 
  void getWeightsHostView(typename Base::WeightsHostView1D &hostWgts,
                          int idx = 0) const override {
    AssertCondition((idx >= 0) and (idx < numWeights_),
                    "Invalid weight index.");
 
    auto weightsDevice =
        typename Base::WeightsDeviceView1D("weights", kWeights_.extent(0));
    getWeightsDeviceView(weightsDevice, idx);
 
    hostWgts = Kokkos::create_mirror_view(weightsDevice);
    Kokkos::deep_copy(hostWgts, weightsDevice);
  }
 
  void getWeightsHostView(typename Base::WeightsHostView &wgts) const override {
    auto hostWeights = Kokkos::create_mirror_view(kWeights_);
    Kokkos::deep_copy(hostWeights, kWeights_);
    wgts = hostWeights;
  }
 
  void getWeightsDeviceView(typename Base::WeightsDeviceView1D &deviceWgts,
                            int idx = 0) const override {
    AssertCondition((idx >= 0) and (idx < numWeights_),
                    "Invalid weight index.");
 
    const auto size = kWeights_.extent(0);
    deviceWgts = typename Base::WeightsDeviceView1D("weights", size);
 
    auto kWeights = this->kWeights_;
    Kokkos::parallel_for(
        size, KOKKOS_LAMBDA(const int id) {
          deviceWgts(id) = kWeights(id, idx);
        });
 
    Kokkos::fence();
  }
 
  void
  getWeightsDeviceView(typename Base::WeightsDeviceView &wgts) const override {
    wgts = kWeights_;
  }

  // The VectorAdapter interface.
 
  int getNumEntriesPerID() const { return numEntriesPerID_; }
 
  void getEntriesView(const scalar_t *&entries, int &stride,
                      int idx = 0) const {
    if (idx < 0 || idx >= numEntriesPerID_) {
      std::ostringstream emsg;
      emsg << __FILE__ << ":" << __LINE__ << "  Invalid vector index " << idx
           << std::endl;
      throw std::runtime_error(emsg.str());
    }
    size_t length;
    entries_[idx].getStridedList(length, entries, stride);
  }
 
  void getEntriesKokkosView(
      typename AdapterWithCoords<User>::CoordsDeviceView &entries) const {
    entries = kEntries_;
  }
 
  void getEntriesHostView(typename AdapterWithCoords<User>::CoordsHostView
                              &entries) const override {
    auto hostEntries = Kokkos::create_mirror_view(kEntries_);
    Kokkos::deep_copy(hostEntries, kEntries_);
    entries = hostEntries;
  }
 
  void getEntriesDeviceView(typename AdapterWithCoords<User>::CoordsDeviceView
                                &entries) const override {
    entries = kEntries_;
  }
 
private:
  lno_t numIds_;
  const gno_t *idList_;
 
  int numEntriesPerID_;
  int numWeights_;
 
  // Old API variable members
  ArrayRCP<StridedData<lno_t, scalar_t>> entries_;
  ArrayRCP<StridedData<lno_t, scalar_t>> weights_;
 
  // New API variable members
  typename Base::IdsDeviceView kIds_;
  typename AdapterWithCoords<User>::CoordsDeviceView kEntries_;
  typename Base::WeightsDeviceView kWeights_;
 
  void createBasicVector(std::vector<const scalar_t *> &entries,
                         std::vector<int> &entryStride,
                         std::vector<const scalar_t *> &weights,
                         std::vector<int> &weightStrides) {
    typedef StridedData<lno_t, scalar_t> input_t;
 
    if (numIds_) {
      // make kokkos ids
      kIds_ = typename Base::IdsDeviceView(
          Kokkos::ViewAllocateWithoutInitializing("ids"), numIds_);
      auto host_kIds_ = Kokkos::create_mirror_view(kIds_);
      for (int n = 0; n < numIds_; ++n) {
        host_kIds_(n) = idList_[n];
      }
      Kokkos::deep_copy(kIds_, host_kIds_);
 
      // make coordinates
      int stride = 1;
      entries_ = arcp(new input_t[numEntriesPerID_], 0, numEntriesPerID_, true);
      for (int v = 0; v < numEntriesPerID_; v++) {
        if (entryStride.size())
          stride = entryStride[v];
        ArrayRCP<const scalar_t> eltV(entries[v], 0, stride * numIds_, false);
        entries_[v] = input_t(eltV, stride);
      }
 
      // setup kokkos entries
      kEntries_ = typename AdapterWithCoords<User>::CoordsDeviceView(
          Kokkos::ViewAllocateWithoutInitializing("entries"), numIds_,
          numEntriesPerID_);
 
      size_t length;
      const scalar_t *entriesPtr;
 
      auto host_kokkos_entries = Kokkos::create_mirror_view(this->kEntries_);
 
      for (int idx = 0; idx < numEntriesPerID_; idx++) {
        entries_[idx].getStridedList(length, entriesPtr, stride);
        size_t fill_index = 0;
        for (int n = 0; n < numIds_; ++n) {
          host_kokkos_entries(fill_index++, idx) = entriesPtr[n * stride];
        }
      }
      Kokkos::deep_copy(this->kEntries_, host_kokkos_entries);
    }
 
    if (numWeights_) {
      int stride = 1;
      weights_ = arcp(new input_t[numWeights_], 0, numWeights_, true);
      for (int w = 0; w < numWeights_; w++) {
        if (weightStrides.size())
          stride = weightStrides[w];
        ArrayRCP<const scalar_t> wgtV(weights[w], 0, stride * numIds_, false);
        weights_[w] = input_t(wgtV, stride);
      }
 
      // set up final view with weights
      kWeights_ = typename Base::WeightsDeviceView(
          Kokkos::ViewAllocateWithoutInitializing("kokkos weights"), numIds_,
          numWeights_);
 
      // setup weights
      auto host_weight_temp_values =
          Kokkos::create_mirror_view(this->kWeights_);
      for (int idx = 0; idx < numWeights_; ++idx) {
        const scalar_t *weightsPtr;
        size_t length;
        weights_[idx].getStridedList(length, weightsPtr, stride);
        size_t fill_index = 0;
        for (size_t n = 0; n < length; n += stride) {
          host_weight_temp_values(fill_index++, idx) = weightsPtr[n];
        }
      }
      Kokkos::deep_copy(this->kWeights_, host_weight_temp_values);
    }
  }
};
 
} // namespace Zoltan2
 
#endif