pytorch

1
/**
2
 * Copyright (c) 2016-present, Facebook, Inc.
3
 *
4
 * Licensed under the Apache License, Version 2.0 (the "License");
5
 * you may not use this file except in compliance with the License.
6
 * You may obtain a copy of the License at
7
 *
8
 *     http://www.apache.org/licenses/LICENSE-2.0
9
 *
10
 * Unless required by applicable law or agreed to in writing, software
11
 * distributed under the License is distributed on an "AS IS" BASIS,
12
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13
 * See the License for the specific language governing permissions and
14
 * limitations under the License.
15
 */
16

17
#include <cuda_runtime.h>
18

19
#include <sstream>
20
#include <vector>
21

22
#include "c10/util/Flags.h"
23
#include "caffe2/core/common_gpu.h"
24
#include "caffe2/core/init.h"
25
#include "caffe2/core/logging.h"
26

27
using std::vector;
28

29
C10_DECLARE_int(caffe2_log_level);
30

31
int main(int argc, char** argv) {
32
  caffe2::GlobalInit(&argc, &argv);
33
  c10::SetUsageMessage(
34
      "Inspects the GPUs on the current machine and prints out their details "
35
      "provided by cuda.");
36

37
  int gpu_count;
38
  CUDA_ENFORCE(cudaGetDeviceCount(&gpu_count));
39
  for (int i = 0; i < gpu_count; ++i) {
40
    LOG(INFO) << "Querying device ID = " << i;
41
    caffe2::DeviceQuery(i);
42
  }
43

44
  vector<vector<bool> > access_pattern;
45
  CAFFE_ENFORCE(caffe2::GetCudaPeerAccessPattern(&access_pattern));
46

47
  std::stringstream sstream;
48
  // Find topology
49
  for (int i = 0; i < gpu_count; ++i) {
50
    for (int j = 0; j < gpu_count; ++j) {
51
      sstream << (access_pattern[i][j] ? "+" : "-") << " ";
52
    }
53
    sstream << std::endl;
54
  }
55
  LOG(INFO) << "Access pattern: " << std::endl << sstream.str();
56

57
  return 0;
58
}
59