clang-formated source
Change-Id: Ia15a55ae053e38d19e1fe7bbc6e452f5d0d1d3ed
diff --git a/internal/ceres/cgnr_solver.cc b/internal/ceres/cgnr_solver.cc
index 015e170..bed4ad0 100644
--- a/internal/ceres/cgnr_solver.cc
+++ b/internal/ceres/cgnr_solver.cc
@@ -239,9 +239,8 @@
: public CudaPreconditioner {
public:
explicit CudaJacobiPreconditioner(ContextImpl* context,
- const CompressedRowSparseMatrix& A) :
- cpu_preconditioner_(A),
- m_(context, cpu_preconditioner_.matrix()) {}
+ const CompressedRowSparseMatrix& A)
+ : cpu_preconditioner_(A), m_(context, cpu_preconditioner_.matrix()) {}
~CudaJacobiPreconditioner() = default;
void Update(const CompressedRowSparseMatrix& A, const double* D) final {
@@ -249,8 +248,7 @@
m_.CopyValuesFromCpu(cpu_preconditioner_.matrix());
}
- void RightMultiplyAndAccumulate(
- const CudaVector& x, CudaVector& y) final {
+ void RightMultiplyAndAccumulate(const CudaVector& x, CudaVector& y) final {
m_.RightMultiplyAndAccumulate(x, &y);
}
diff --git a/internal/ceres/cgnr_solver.h b/internal/ceres/cgnr_solver.h
index 5111d80..916a806 100644
--- a/internal/ceres/cgnr_solver.h
+++ b/internal/ceres/cgnr_solver.h
@@ -72,8 +72,7 @@
};
#ifndef CERES_NO_CUDA
-class CudaPreconditioner : public
- ConjugateGradientsLinearOperator<CudaVector> {
+class CudaPreconditioner : public ConjugateGradientsLinearOperator<CudaVector> {
public:
virtual void Update(const CompressedRowSparseMatrix& A, const double* D) = 0;
virtual ~CudaPreconditioner() = default;
diff --git a/internal/ceres/context_impl.cc b/internal/ceres/context_impl.cc
index a46e760..0ad2abe 100644
--- a/internal/ceres/context_impl.cc
+++ b/internal/ceres/context_impl.cc
@@ -116,35 +116,38 @@
CHECK_EQ(cudaRuntimeGetVersion(&cuda_version), cudaSuccess);
cuda_version_major_ = cuda_version / 1000;
cuda_version_minor_ = (cuda_version % 1000) / 10;
- CHECK_EQ(cudaGetDeviceProperties(&gpu_device_properties_,
- gpu_device_id_in_use_), cudaSuccess);
+ CHECK_EQ(
+ cudaGetDeviceProperties(&gpu_device_properties_, gpu_device_id_in_use_),
+ cudaSuccess);
VLOG(3) << "\n" << CudaConfigAsString();
EventLogger event_logger("InitCuda");
if (cublasCreate(&cublas_handle_) != CUBLAS_STATUS_SUCCESS) {
- *message = "CUDA initialization failed because "
- "cuBLAS::cublasCreate failed.";
+ *message =
+ "CUDA initialization failed because cuBLAS::cublasCreate failed.";
cublas_handle_ = nullptr;
return false;
}
event_logger.AddEvent("cublasCreate");
if (cusolverDnCreate(&cusolver_handle_) != CUSOLVER_STATUS_SUCCESS) {
- *message = "CUDA initialization failed because "
- "cuSolverDN::cusolverDnCreate failed.";
+ *message =
+ "CUDA initialization failed because cuSolverDN::cusolverDnCreate "
+ "failed.";
TearDown();
return false;
}
event_logger.AddEvent("cusolverDnCreate");
if (cusparseCreate(&cusparse_handle_) != CUSPARSE_STATUS_SUCCESS) {
- *message = "CUDA initialization failed because "
- "cuSPARSE::cusparseCreate failed.";
+ *message =
+ "CUDA initialization failed because cuSPARSE::cusparseCreate failed.";
TearDown();
return false;
}
event_logger.AddEvent("cusparseCreate");
if (cudaStreamCreateWithFlags(&stream_, cudaStreamNonBlocking) !=
cudaSuccess) {
- *message = "CUDA initialization failed because "
- "CUDA::cudaStreamCreateWithFlags failed.";
+ *message =
+ "CUDA initialization failed because CUDA::cudaStreamCreateWithFlags "
+ "failed.";
TearDown();
return false;
}
diff --git a/internal/ceres/context_impl.h b/internal/ceres/context_impl.h
index 9eb59eb..ee0c589 100644
--- a/internal/ceres/context_impl.h
+++ b/internal/ceres/context_impl.h
@@ -92,7 +92,7 @@
// CUDA device. CudaConfigAsString can only be called after InitCuda has been
// called.
std::string CudaConfigAsString() const;
- // Returns the number of bytes of available global memory on the current CUDA
+ // Returns the number of bytes of available global memory on the current CUDA
// device. If it is called before InitCuda, it returns 0.
size_t GpuMemoryAvailable() const;
diff --git a/internal/ceres/cuda_sparse_matrix.cc b/internal/ceres/cuda_sparse_matrix.cc
index a3ed019..1e361d2 100644
--- a/internal/ceres/cuda_sparse_matrix.cc
+++ b/internal/ceres/cuda_sparse_matrix.cc
@@ -110,7 +110,7 @@
// CUSPARSE_SPMV_ALG_DEFAULT.
#if CUDART_VERSION >= 11021
const auto algorithm = CUSPARSE_SPMV_ALG_DEFAULT;
-#else // CUDART_VERSION >= 11021
+#else // CUDART_VERSION >= 11021
const auto algorithm = CUSPARSE_MV_ALG_DEFAULT;
#endif // CUDART_VERSION >= 11021
diff --git a/internal/ceres/solver.cc b/internal/ceres/solver.cc
index c896e32..07e7216 100644
--- a/internal/ceres/solver.cc
+++ b/internal/ceres/solver.cc
@@ -329,7 +329,7 @@
if (options.preconditioner_type == SUBSET) {
if (options.sparse_linear_algebra_library_type == CUDA_SPARSE) {
- *error =
+ *error =
"Can't use CGNR with preconditioner_type = SUBSET when "
"sparse_linear_algebra_library_type = CUDA_SPARSE.";
return false;
