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// Copyright (c) 2018, 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 inf.ethz.ch)
#include "util/cuda.h"
#include <algorithm>
#include <iostream>
#include <vector>
#include <cuda_runtime.h>
#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;
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<cudaDeviceProp> 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
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