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// Ceres Solver - A fast non-linear least squares minimizer
// Copyright 2018 Google Inc. All rights reserved.
// http://ceres-solver.org/
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are met:
//
// * Redistributions of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
// * Redistributions in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
// * Neither the name of Google Inc. nor the names of its contributors may be
// used to endorse or promote products derived from this software without
// specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
// AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
// ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
// LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
// CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
// SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
// INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
// CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
// ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
// POSSIBILITY OF SUCH DAMAGE.
//
// Author: vitus@google.com (Michael Vitus)
#include "ceres/context_impl.h"
#include <string>
#include "ceres/internal/config.h"
#ifndef CERES_NO_CUDA
#include "cublas_v2.h"
#include "cuda_runtime.h"
#include "cusolverDn.h"
#endif // CERES_NO_CUDA
namespace ceres {
namespace internal {
ContextImpl::ContextImpl() = default;
#ifndef CERES_NO_CUDA
bool ContextImpl::InitCUDA(std::string* message) {
if (cuda_initialized_) {
return true;
}
if (cublasCreate(&cublas_handle_) != CUBLAS_STATUS_SUCCESS) {
*message = "cuBLAS::cublasCreate failed.";
cublas_handle_ = nullptr;
return false;
}
if (cusolverDnCreate(&cusolver_handle_) != CUSOLVER_STATUS_SUCCESS) {
*message = "cuSolverDN::cusolverDnCreate failed.";
cusolver_handle_ = nullptr;
cublasDestroy(cublas_handle_);
cublas_handle_ = nullptr;
return false;
}
if (cudaStreamCreateWithFlags(&stream_, cudaStreamNonBlocking) !=
cudaSuccess) {
*message = "CUDA::cudaStreamCreateWithFlags failed.";
cusolverDnDestroy(cusolver_handle_);
cublasDestroy(cublas_handle_);
cusolver_handle_ = nullptr;
cublas_handle_ = nullptr;
stream_ = nullptr;
return false;
}
if (cusolverDnSetStream(cusolver_handle_, stream_) !=
CUSOLVER_STATUS_SUCCESS ||
cublasSetStream(cublas_handle_, stream_) != CUBLAS_STATUS_SUCCESS) {
*message =
"cuSolverDN::cusolverDnSetStream or cuBLAS::cublasSetStream failed.";
cusolverDnDestroy(cusolver_handle_);
cublasDestroy(cublas_handle_);
cudaStreamDestroy(stream_);
cusolver_handle_ = nullptr;
cublas_handle_ = nullptr;
stream_ = nullptr;
return false;
}
cuda_initialized_ = true;
return true;
}
#endif // CERES_NO_CUDA
ContextImpl::~ContextImpl() {
#ifndef CERES_NO_CUDA
if (cuda_initialized_) {
cusolverDnDestroy(cusolver_handle_);
cublasDestroy(cublas_handle_);
cudaStreamDestroy(stream_);
}
#endif // CERES_NO_CUDA
}
void ContextImpl::EnsureMinimumThreads(int num_threads) {
#ifdef CERES_USE_CXX_THREADS
thread_pool.Resize(num_threads);
#endif // CERES_USE_CXX_THREADS
}
} // namespace internal
} // namespace ceres
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