// Ceres Solver - A fast non-linear least squares minimizer
// Copyright 2022 Google Inc. All rights reserved.
// http://ceres-solver.org/
//
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// Author: sameeragarwal@google.com (Sameer Agarwal)

#ifndef CERES_INTERNAL_DENSE_CHOLESKY_H_
#define CERES_INTERNAL_DENSE_CHOLESKY_H_

// This include must come before any #ifndef check on Ceres compile options.
// clang-format off
#include "ceres/internal/config.h"
// clang-format on

#include <memory>
#include <vector>

#include "Eigen/Dense"
#include "ceres/cuda_buffer.h"
#include "ceres/linear_solver.h"
#include "glog/logging.h"
#ifndef CERES_NO_CUDA
#include "cuda_runtime.h"
#include "cusolverDn.h"
#endif  // CERES_NO_CUDA

namespace ceres {
namespace internal {

// An interface that abstracts away the internal details of various dense linear
// algebra libraries and offers a simple API for solving dense symmetric
// positive definite linear systems using a Cholesky factorization.
class CERES_NO_EXPORT DenseCholesky {
 public:
  static std::unique_ptr<DenseCholesky> Create(
      const LinearSolver::Options& options);

  virtual ~DenseCholesky();

  // Computes the Cholesky factorization of the given matrix.
  //
  // The input matrix lhs is assumed to be a column-major num_cols x num_cols
  // matrix, that is symmetric positive definite with its lower triangular part
  // containing the left hand side of the linear system being solved.
  //
  // The input matrix lhs may be modified by the implementation to store the
  // factorization, irrespective of whether the factorization succeeds or not.
  // As a result it is the user's responsibility to ensure that lhs is valid
  // when Solve is called.
  virtual LinearSolverTerminationType Factorize(int num_cols,
                                                double* lhs,
                                                std::string* message) = 0;

  // Computes the solution to the equation
  //
  // lhs * solution = rhs
  //
  // Calling Solve without calling Factorize is undefined behaviour. It is the
  // user's responsibility to ensure that the input matrix lhs passed to
  // Factorize has not been freed/modified when Solve is called.
  virtual LinearSolverTerminationType Solve(const double* rhs,
                                            double* solution,
                                            std::string* message) = 0;

  // Convenience method which combines a call to Factorize and Solve. Solve is
  // only called if Factorize returns LINEAR_SOLVER_SUCCESS.
  //
  // The input matrix lhs may be modified by the implementation to store the
  // factorization, irrespective of whether the method succeeds or not. It is
  // the user's responsibility to ensure that lhs is valid if and when Solve is
  // called again after this call.
  LinearSolverTerminationType FactorAndSolve(int num_cols,
                                             double* lhs,
                                             const double* rhs,
                                             double* solution,
                                             std::string* message);
};

class CERES_NO_EXPORT EigenDenseCholesky : public DenseCholesky {
 public:

  LinearSolverTerminationType Factorize(int num_cols,
                                        double* lhs,
                                        std::string* message) override;
  LinearSolverTerminationType Solve(const double* rhs,
                                    double* solution,
                                    std::string* message) override;

 private:
  using LLTType = Eigen::LLT<Eigen::Ref<Eigen::MatrixXd>, Eigen::Lower>;
  std::unique_ptr<LLTType> llt_;
};

#ifndef CERES_NO_LAPACK
class CERES_NO_EXPORT LAPACKDenseCholesky : public DenseCholesky {
 public:

  LinearSolverTerminationType Factorize(int num_cols,
                                        double* lhs,
                                        std::string* message) override;
  LinearSolverTerminationType Solve(const double* rhs,
                                    double* solution,
                                    std::string* message) override;

 private:
  double* lhs_ = nullptr;
  int num_cols_ = -1;
  LinearSolverTerminationType termination_type_ = LINEAR_SOLVER_FATAL_ERROR;
};
#endif  // CERES_NO_LAPACK

#ifndef CERES_NO_CUDA
// Implementation of DenseCholesky using the cuSolver library v.11.0 or older,
// using the legacy cuSolverDn interface.
class CERES_NO_EXPORT CUDADenseCholesky32Bit : public DenseCholesky {
 public:
  static std::unique_ptr<CUDADenseCholesky32Bit> Create(
      const LinearSolver::Options& options);
  ~CUDADenseCholesky32Bit() override;
  CUDADenseCholesky32Bit(const CUDADenseCholesky32Bit&) = delete;
  CUDADenseCholesky32Bit& operator=(const CUDADenseCholesky32Bit&) = delete;
  LinearSolverTerminationType Factorize(int num_cols,
                                        double* lhs,
                                        std::string* message) override;
  LinearSolverTerminationType Solve(const double* rhs,
                                    double* solution,
                                    std::string* message) override;

 private:
  CUDADenseCholesky32Bit() = default;
  // Initializes the cuSolverDN context, creates an asynchronous stream, and
  // associates the stream with cuSolverDN. Returns true iff initialization was
  // successful, else it returns false and a human-readable error message is
  // returned.
  bool Init(std::string* message);

  // Handle to the cuSOLVER context.
  cusolverDnHandle_t cusolver_handle_ = nullptr;
  // CUDA device stream.
  cudaStream_t stream_ = nullptr;
  // Number of columns in the A matrix, to be cached between calls to *Factorize
  // and *Solve.
  size_t num_cols_ = 0;
  // GPU memory allocated for the A matrix (lhs matrix).
  CudaBuffer<double> lhs_;
  // GPU memory allocated for the B matrix (rhs vector).
  CudaBuffer<double> rhs_;
  // Scratch space for cuSOLVER on the GPU.
  CudaBuffer<uint8_t> device_workspace_;
  // Required for error handling with cuSOLVER.
  CudaBuffer<int> error_;
  // Cache the result of Factorize to ensure that when Solve is called, the
  // factiorization of lhs is valid.
  LinearSolverTerminationType factorize_result_ =
      LINEAR_SOLVER_FATAL_ERROR;
};

// Implementation of DenseCholesky using the cuSolver library v.11.1 or newer,
// using the 64-bit cuSolverDn interface.
class CERES_NO_EXPORT CUDADenseCholesky64Bit : public DenseCholesky {
 public:
  static std::unique_ptr<CUDADenseCholesky64Bit> Create(
      const LinearSolver::Options& options);
  ~CUDADenseCholesky64Bit() override;
  CUDADenseCholesky64Bit(const CUDADenseCholesky64Bit&) = delete;
  CUDADenseCholesky64Bit& operator=(const CUDADenseCholesky64Bit&) = delete;
  LinearSolverTerminationType Factorize(int num_cols,
                                        double* lhs,
                                        std::string* message) override;
  LinearSolverTerminationType Solve(const double* rhs,
                                    double* solution,
                                    std::string* message) override;

 private:
  CUDADenseCholesky64Bit() = default;
  // Initializes the cuSolverDN context, creates an asynchronous stream, and
  // associates the stream with cuSolverDN. Returns true iff initialization was
  // successful, else it returns false and a human-readable error message is
  // returned.
  bool Init(std::string* message);

  // Handle to the cuSOLVER context.
  cusolverDnHandle_t cusolver_handle_ = nullptr;
  // CUDA device stream.
  cudaStream_t stream_ = nullptr;
  // Number of columns in the A matrix, to be cached between calls to Factorize
  // and Solve.
  size_t num_cols_ = 0;
  // GPU memory allocated for the A matrix (lhs matrix).
  CudaBuffer<double> lhs_;
  // GPU memory allocated for the B matrix (rhs vector).
  CudaBuffer<double> rhs_;
  // Workspace for cuSOLVER on the GPU.
  CudaBuffer<uint8_t> device_workspace_;
  // Workspace for cuSOLVER on the host.
  std::vector<double> host_workspace_;
  // Required for error handling with cuSOLVER.
  CudaBuffer<int> error_;
  // Cache the result of Factorize to ensure that when Solve is called, the
  // factiorization of lhs is valid.
  LinearSolverTerminationType factorize_result_ =
      LINEAR_SOLVER_FATAL_ERROR;
};

#ifdef CERES_CUDA_NO_64BIT_SOLVER_API
using CUDADenseCholesky = CUDADenseCholesky32Bit;
#else
using CUDADenseCholesky = CUDADenseCholesky64Bit;
#endif

#endif  // CERES_NO_CUDA

}  // namespace internal
}  // namespace ceres

#endif  // CERES_INTERNAL_DENSE_CHOLESKY_H_