// Copyright (c) 2022, ETH Zurich and UNC Chapel Hill. // All rights reserved. // // 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 ETH Zurich and UNC Chapel Hill 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 HOLDERS 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: Johannes L. Schoenberger (jsch-at-demuc-dot-de) #include "util/cuda.h" #include #include #include #include #include "util/cudacc.h" #include "util/logging.h" namespace colmap { namespace { // Check whether the first Cuda device is better than the second. bool CompareCudaDevice(const cudaDeviceProp& d1, const cudaDeviceProp& d2) { bool result = (d1.major > d2.major) || ((d1.major == d2.major) && (d1.minor > d2.minor)) || ((d1.major == d2.major) && (d1.minor == d2.minor) && (d1.multiProcessorCount > d2.multiProcessorCount)); return result; } } // namespace int GetNumCudaDevices() { int num_cuda_devices; CUDA_SAFE_CALL(cudaGetDeviceCount(&num_cuda_devices)); return num_cuda_devices; } void SetBestCudaDevice(const int gpu_index) { const int num_cuda_devices = GetNumCudaDevices(); CHECK_GT(num_cuda_devices, 0) << "No CUDA devices available"; int selected_gpu_index = -1; if (gpu_index >= 0) { selected_gpu_index = gpu_index; } else { std::vector all_devices(num_cuda_devices); for (int device_id = 0; device_id < num_cuda_devices; ++device_id) { cudaGetDeviceProperties(&all_devices[device_id], device_id); } std::sort(all_devices.begin(), all_devices.end(), CompareCudaDevice); CUDA_SAFE_CALL(cudaChooseDevice(&selected_gpu_index, all_devices.data())); } CHECK_GE(selected_gpu_index, 0); CHECK_LT(selected_gpu_index, num_cuda_devices) << "Invalid CUDA GPU selected"; cudaDeviceProp device; cudaGetDeviceProperties(&device, selected_gpu_index); CUDA_SAFE_CALL(cudaSetDevice(selected_gpu_index)); } } // namespace colmap