diff options
Diffstat (limited to 'extern/ceres/internal/ceres/accelerate_sparse.cc')
| -rw-r--r-- | extern/ceres/internal/ceres/accelerate_sparse.cc | 23 |
1 files changed, 12 insertions, 11 deletions
diff --git a/extern/ceres/internal/ceres/accelerate_sparse.cc b/extern/ceres/internal/ceres/accelerate_sparse.cc index d2b642bf5dc..74adfaf9afc 100644 --- a/extern/ceres/internal/ceres/accelerate_sparse.cc +++ b/extern/ceres/internal/ceres/accelerate_sparse.cc @@ -29,11 +29,12 @@ // Author: alexs.mac@gmail.com (Alex Stewart) // This include must come before any #ifndef check on Ceres compile options. -#include "ceres/internal/port.h" +#include "ceres/internal/config.h" #ifndef CERES_NO_ACCELERATE_SPARSE #include <algorithm> +#include <memory> #include <string> #include <vector> @@ -196,17 +197,17 @@ template <typename Scalar> LinearSolverTerminationType AppleAccelerateCholesky<Scalar>::Factorize( CompressedRowSparseMatrix* lhs, std::string* message) { CHECK_EQ(lhs->storage_type(), StorageType()); - if (lhs == NULL) { - *message = "Failure: Input lhs is NULL."; + if (lhs == nullptr) { + *message = "Failure: Input lhs is nullptr."; return LINEAR_SOLVER_FATAL_ERROR; } typename SparseTypesTrait<Scalar>::SparseMatrix as_lhs = as_.CreateSparseMatrixTransposeView(lhs); if (!symbolic_factor_) { - symbolic_factor_.reset( - new typename SparseTypesTrait<Scalar>::SymbolicFactorization( - as_.AnalyzeCholesky(&as_lhs))); + symbolic_factor_ = std::make_unique< + typename SparseTypesTrait<Scalar>::SymbolicFactorization>( + as_.AnalyzeCholesky(&as_lhs)); if (symbolic_factor_->status != SparseStatusOK) { *message = StringPrintf( "Apple Accelerate Failure : Symbolic factorisation failed: %s", @@ -217,9 +218,9 @@ LinearSolverTerminationType AppleAccelerateCholesky<Scalar>::Factorize( } if (!numeric_factor_) { - numeric_factor_.reset( - new typename SparseTypesTrait<Scalar>::NumericFactorization( - as_.Cholesky(&as_lhs, symbolic_factor_.get()))); + numeric_factor_ = std::make_unique< + typename SparseTypesTrait<Scalar>::NumericFactorization>( + as_.Cholesky(&as_lhs, symbolic_factor_.get())); } else { // Recycle memory from previous numeric factorization. as_.Cholesky(&as_lhs, numeric_factor_.get()); @@ -265,7 +266,7 @@ template <typename Scalar> void AppleAccelerateCholesky<Scalar>::FreeSymbolicFactorization() { if (symbolic_factor_) { SparseCleanup(*symbolic_factor_); - symbolic_factor_.reset(); + symbolic_factor_ = nullptr; } } @@ -273,7 +274,7 @@ template <typename Scalar> void AppleAccelerateCholesky<Scalar>::FreeNumericFactorization() { if (numeric_factor_) { SparseCleanup(*numeric_factor_); - numeric_factor_.reset(); + numeric_factor_ = nullptr; } } |