File: allreduce.cpp

package info (click to toggle)
pytorch-cuda 2.6.0%2Bdfsg-7
  • links: PTS, VCS
  • area: contrib
  • in suites: forky, sid, trixie
  • size: 161,620 kB
  • sloc: python: 1,278,832; cpp: 900,322; ansic: 82,710; asm: 7,754; java: 3,363; sh: 2,811; javascript: 2,443; makefile: 597; ruby: 195; xml: 84; objc: 68
file content (33 lines) | stat: -rw-r--r-- 944 bytes parent folder | download | duplicates (4)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
#include <c10/util/irange.h>
#include <torch/csrc/distributed/c10d/FileStore.hpp>
#include <torch/csrc/distributed/c10d/ProcessGroupGloo.hpp>

using namespace ::c10d;

int main(int argc, char** argv) {
  int rank = atoi(getenv("RANK"));
  int size = atoi(getenv("SIZE"));
  auto store = c10::make_intrusive<FileStore>("/tmp/c10d_example", size);
  ProcessGroupGloo pg(store, rank, size);

  // Create some tensors
  const auto ntensors = 10;
  std::vector<at::Tensor> tensors;
  for (const auto i : c10::irange(ntensors)) {
    auto x =
        at::ones({1000, 16 * (i + 1)}, at::TensorOptions(at::CPU(at::kFloat)));
    tensors.push_back(x);
  }

  // Kick off work
  std::vector<c10::intrusive_ptr<Work>> pending;
  for (const auto i : c10::irange(ntensors)) {
    std::vector<at::Tensor> tmp = {tensors[i]};
    pending.push_back(pg.allreduce(tmp));
  }

  // Wait for work to complete
  for (auto& work : pending) {
    work->wait();
  }
}