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https://github.com/pytorch/pytorch.git
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38f3d1fc40
Summary: still influx. Pull Request resolved: https://github.com/pytorch/pytorch/pull/12144 Reviewed By: smessmer Differential Revision: D10140176 Pulled By: Yangqing fbshipit-source-id: 1a313abed022039333e3925d19f8b3ef2d95306c
59 lines
1.6 KiB
C++
59 lines
1.6 KiB
C++
/**
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* Copyright (c) 2016-present, Facebook, Inc.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#include <cuda_runtime.h>
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#include <sstream>
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#include <vector>
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#include "c10/util/Flags.h"
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#include "caffe2/core/common_gpu.h"
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#include "caffe2/core/init.h"
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#include "caffe2/core/logging.h"
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using std::vector;
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C10_DECLARE_int(caffe2_log_level);
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int main(int argc, char** argv) {
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caffe2::GlobalInit(&argc, &argv);
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c10::SetUsageMessage(
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"Inspects the GPUs on the current machine and prints out their details "
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"provided by cuda.");
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int gpu_count;
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CUDA_ENFORCE(cudaGetDeviceCount(&gpu_count));
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for (int i = 0; i < gpu_count; ++i) {
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LOG(INFO) << "Querying device ID = " << i;
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caffe2::DeviceQuery(i);
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}
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vector<vector<bool> > access_pattern;
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CAFFE_ENFORCE(caffe2::GetCudaPeerAccessPattern(&access_pattern));
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std::stringstream sstream;
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// Find topology
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for (int i = 0; i < gpu_count; ++i) {
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for (int j = 0; j < gpu_count; ++j) {
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sstream << (access_pattern[i][j] ? "+" : "-") << " ";
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}
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sstream << std::endl;
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}
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LOG(INFO) << "Access pattern: " << std::endl << sstream.str();
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return 0;
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}
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