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[kernel] New SpMM & SDDMM kernel on CPU and CUDA (#1644)  
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/*!
 *  Copyright (c) 2020 by Contributors
 * \file kernel/cpu/spmm.cc
 * \brief SPMM C APIs and definitions.
 */
#include "./spmm.h"
#include <dgl/array.h>

namespace dgl {
namespace aten {

/*! \brief Generalized SpMM on Csr format. */
template <int XPU, typename IdType, typename DType>
void SpMMCsr(const std::string& op, const std::string& reduce,
             const BcastOff& bcast,
             const CSRMatrix& csr,
             NDArray ufeat,
             NDArray efeat,
             NDArray out,
             std::vector<NDArray> out_aux) {
  if (reduce == "sum") {
    SWITCH_OP(op, Op, {
      cpu::SpMMSumCsr<IdType, DType, Op>(bcast, csr, ufeat, efeat, out);
    });
  } else if (reduce == "max" || reduce == "min") {
    SWITCH_OP(op, Op, {
      if (reduce == "max")
        cpu::SpMMCmpCsr<IdType, DType, Op, cpu::op::Max<DType>>(
            bcast, csr, ufeat, efeat, out, out_aux[0], out_aux[1]);
      else
        cpu::SpMMCmpCsr<IdType, DType, Op, cpu::op::Min<DType>>(
            bcast, csr, ufeat, efeat, out, out_aux[0], out_aux[1]);
    });
  } else {
    LOG(FATAL) << "Unsupported SpMM reducer: " << reduce;
  }
}

template void SpMMCsr<kDLCPU, int32_t, float>(
    const std::string& op, const std::string& reduce,
    const BcastOff& bcast, const CSRMatrix& csr,
    NDArray ufeat, NDArray efeat, NDArray out, std::vector<NDArray> out_aux);
template void SpMMCsr<kDLCPU, int64_t, float>(
    const std::string& op, const std::string& reduce,
    const BcastOff& bcast, const CSRMatrix& csr,
    NDArray ufeat, NDArray efeat, NDArray out, std::vector<NDArray> out_aux);
template void SpMMCsr<kDLCPU, int32_t, double>(
    const std::string& op, const std::string& reduce,
    const BcastOff& bcast, const CSRMatrix& csr,
    NDArray ufeat, NDArray efeat, NDArray out, std::vector<NDArray> out_aux);
template void SpMMCsr<kDLCPU, int64_t, double>(
    const std::string& op, const std::string& reduce,
    const BcastOff& bcast, const CSRMatrix& csr,
    NDArray ufeat, NDArray efeat, NDArray out, std::vector<NDArray> out_aux);

/*! \brief Generalized SpMM on Coo format. */
template <int XPU, typename IdType, typename DType>
void SpMMCoo(const std::string& op, const std::string& reduce,
             const BcastOff& bcast,
             const COOMatrix& coo,
             NDArray ufeat,
             NDArray efeat,
             NDArray out,
             std::vector<NDArray> out_aux) {
  if (reduce == "sum") {
    SWITCH_OP(op, Op, {
      cpu::SpMMSumCoo<IdType, DType, Op>(bcast, coo, ufeat, efeat, out);
    });
  } else if (reduce == "max" || reduce == "min") {
    SWITCH_OP(op, Op, {
      if (reduce == "max")
        cpu::SpMMCmpCoo<IdType, DType, Op, cpu::op::Max<DType>>(
            bcast, coo, ufeat, efeat, out, out_aux[0], out_aux[1]);
      else
        cpu::SpMMCmpCoo<IdType, DType, Op, cpu::op::Min<DType>>(
            bcast, coo, ufeat, efeat, out, out_aux[0], out_aux[1]);
    });
  } else {
    LOG(FATAL) << "Unsupported SpMM reducer: " << reduce;
  }
}

template void SpMMCoo<kDLCPU, int32_t, float>(
    const std::string& op, const std::string& reduce,
    const BcastOff& bcast, const COOMatrix& coo,
    NDArray ufeat, NDArray efeat, NDArray out, std::vector<NDArray> out_aux);
template void SpMMCoo<kDLCPU, int64_t, float>(
    const std::string& op, const std::string& reduce,
    const BcastOff& bcast, const COOMatrix& coo,
    NDArray ufeat, NDArray efeat, NDArray out, std::vector<NDArray> out_aux);
template void SpMMCoo<kDLCPU, int32_t, double>(
    const std::string& op, const std::string& reduce,
    const BcastOff& bcast, const COOMatrix& coo,
    NDArray ufeat, NDArray efeat, NDArray out, std::vector<NDArray> out_aux);
template void SpMMCoo<kDLCPU, int64_t, double>(
    const std::string& op, const std::string& reduce,
    const BcastOff& bcast, const COOMatrix& coo,
    NDArray ufeat, NDArray efeat, NDArray out, std::vector<NDArray> out_aux);

}  // namespace aten
}  // namespace dgl