pytorch/torch/lib/c10d/ProcessGroup.cpp
Edward Yang 517c7c9861 Canonicalize all includes in PyTorch. (#14849)
Summary:
Anywhere we used #include "foo.h", we now say #include <foo.h>
Paths are adjusted to be rooted out of aten/src, torch/lib, or
the root level directory.

I modified CMakeLists.txt by hand to remove TH and THC from
the include paths.

I used the following script to do the canonicalization:

```
  import subprocess
  import re
  import os.path

  files = subprocess.check_output(['git', 'ls-files']).decode('utf-8').rstrip().split('\n')
  for fn in files:
      if not any(fn.endswith(suff) for suff in ['.cu', '.cpp', '.in', '.h', '.hpp', '.cu', '.cuh', '.cc']):
          continue
      if not any(fn.startswith(pref) for pref in ["aten/", "torch/"]):
          continue
      with open(fn, 'r') as f:
          c = f.read()
      def fmt(p):
          return "#include <{}>".format(p)
      def repl(m):
          p = m.group(1)
          if p in ["dlfcn.h", "unistd.h", "nvrtc.h", "cuda.h", "cuda_runtime.h", "cstdint", "cudnn.h", "Python.h", "cusparse.h", "cuda_runtime_api.h", "cuda_fp16.h", "cublas_v2.h", "stdint.h", "curand_kernel.h"]:
              return fmt(p)
          if any(p.startswith(pref) for pref in ["torch/csrc", "c10/", "ATen/", "caffe2/", "TH/", "THC/", "Eigen/", "gtest/", "zdl/", "gloo/", "onnx/", "miopen/"]):
              return fmt(p)
          for root in ["aten/src", "torch/lib", ""]:
              for bad_root in [os.path.dirname(fn), "aten/src/TH", "aten/src/THC", "torch/csrc"]:
                  new_p = os.path.relpath(os.path.join(bad_root, p), root)
                  if not new_p.startswith("../") and (os.path.exists(os.path.join(root, new_p)) or os.path.exists(os.path.join(root, new_p + ".in"))):
                      return fmt(new_p)
          print("ERROR: ", fn, p)
          return m.group(0)
      new_c = re.sub(r'#include "([^"]+)"', repl, c)
      if new_c != c:
          print(fn)
          with open(fn, 'w') as f:
              f.write(new_c)
```

Signed-off-by: Edward Z. Yang <ezyang@fb.com>
Pull Request resolved: https://github.com/pytorch/pytorch/pull/14849

Reviewed By: dzhulgakov

Differential Revision: D13363445

Pulled By: ezyang

fbshipit-source-id: 52361f878a672785f9306c9e9ab2513128092b68
2018-12-08 19:38:30 -08:00

53 lines
1.2 KiB
C++

#include <c10d/ProcessGroup.hpp>
namespace c10d {
ProcessGroup::Work::~Work() {}
bool ProcessGroup::Work::isCompleted() {
std::lock_guard<std::mutex> lock(mutex_);
return completed_;
}
bool ProcessGroup::Work::isSuccess() const {
std::lock_guard<std::mutex> lock(mutex_);
return !exception_;
}
std::exception_ptr ProcessGroup::Work::exception() const {
std::lock_guard<std::mutex> lock(mutex_);
return exception_;
}
int ProcessGroup::Work::sourceRank() const {
throw std::runtime_error(
"sourceRank() may only be called on work objects "
"that correspond to a recv or recv-from-any call.");
}
void ProcessGroup::Work::synchronize() {}
void ProcessGroup::Work::wait() {
std::unique_lock<std::mutex> lock(mutex_);
while (!completed_) {
cv_.wait(lock);
}
if (exception_) {
std::rethrow_exception(exception_);
}
synchronize();
}
void ProcessGroup::Work::finish(std::exception_ptr exception) {
std::lock_guard<std::mutex> lock(mutex_);
completed_ = true;
exception_ = exception;
cv_.notify_all();
}
ProcessGroup::ProcessGroup(int rank, int size) : rank_(rank), size_(size) {}
ProcessGroup::~ProcessGroup() {}
} // namespace c10d