// Ceres Solver - A fast non-linear least squares minimizer // Copyright 2023 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) #ifndef CERES_INTERNAL_CONTEXT_IMPL_H_ #define CERES_INTERNAL_CONTEXT_IMPL_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 #include "ceres/context.h" #include "ceres/internal/disable_warnings.h" #include "ceres/internal/export.h" #ifndef CERES_NO_CUDA #include "cublas_v2.h" #include "cuda_runtime.h" #include "cusolverDn.h" #include "cusparse.h" #endif // CERES_NO_CUDA #include "ceres/thread_pool.h" namespace ceres::internal { class CERES_NO_EXPORT ContextImpl final : public Context { public: ContextImpl(); ~ContextImpl() override; ContextImpl(const ContextImpl&) = delete; void operator=(const ContextImpl&) = delete; // When compiled with C++ threading support, resize the thread pool to have // at min(num_thread, num_hardware_threads) where num_hardware_threads is // defined by the hardware. Otherwise this call is a no-op. void EnsureMinimumThreads(int num_threads); ThreadPool thread_pool; #ifndef CERES_NO_CUDA // Note on Ceres' use of CUDA Devices on multi-GPU systems: // 1. On a multi-GPU system, if nothing special is done, the "default" CUDA // device will be used, which is device 0. // 2. If the user masks out GPUs using the CUDA_VISIBLE_DEVICES environment // variable, Ceres will still use device 0 visible to the program, but // device 0 will be the first GPU indicated in the environment variable. // 3. If the user explicitly selects a GPU in the host process before calling // Ceres, Ceres will use that GPU. // Note on Ceres' use of CUDA Streams: // Most of operations on the GPU are performed using a single stream. In // those cases DefaultStream() should be used. This ensures that operations // are stream-ordered, and might be concurrent with cpu processing with no // additional efforts. // // a. Single-stream workloads // - Only use default stream // - Return control to the callee without synchronization whenever possible // - Stream synchronization occurs only after GPU to CPU transfers, and is // handled by CudaBuffer // // b. Multi-stream workloads // Multi-stream workloads are more restricted in order to make it harder to // get a race-condition. // - Should always synchronize the default stream on entry // - Should always synchronize all utilized streams on exit // - Should not make any assumptions on one of streams_[] being default // // With those rules in place // - All single-stream asynchronous workloads are serialized using default // stream // - Multiple-stream workloads always wait single-stream workloads to finish // and leave no running computations on exit. // This slightly penalizes multi-stream workloads, but makes it easier to // avoid race conditions when multiple-stream workload depends on results of // any preceeding gpu computations. // Initializes cuBLAS, cuSOLVER, and cuSPARSE contexts, creates an // asynchronous CUDA stream, and associates the stream with the contexts. // Returns true iff initialization was successful, else it returns false and a // human-readable error message is returned. bool InitCuda(std::string* message); void TearDown(); inline bool IsCudaInitialized() const { return is_cuda_initialized_; } // Returns a human-readable string describing the capabilities of the current // 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 // device. If it is called before InitCuda, it returns 0. size_t GpuMemoryAvailable() const; cusolverDnHandle_t cusolver_handle_ = nullptr; cublasHandle_t cublas_handle_ = nullptr; // Default stream. // Kernel invocations and memory copies on this stream can be left without // synchronization. cudaStream_t DefaultStream() { return streams_[0]; } static constexpr int kNumCudaStreams = 2; cudaStream_t streams_[kNumCudaStreams] = {0}; cusparseHandle_t cusparse_handle_ = nullptr; bool is_cuda_initialized_ = false; int gpu_device_id_in_use_ = -1; cudaDeviceProp gpu_device_properties_; bool is_cuda_memory_pools_supported_ = false; int cuda_version_major_ = 0; int cuda_version_minor_ = 0; #endif // CERES_NO_CUDA }; } // namespace ceres::internal #include "ceres/internal/reenable_warnings.h" #endif // CERES_INTERNAL_CONTEXT_IMPL_H_