pytorch/torch/csrc/utils/python_scalars.h
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

46 lines
2.2 KiB
C++

#pragma once
#include <ATen/ATen.h>
#include <torch/csrc/python_headers.h>
#include <torch/csrc/utils/python_numbers.h>
#include <torch/csrc/Exceptions.h>
namespace torch { namespace utils {
inline void store_scalar(void* data, at::ScalarType scalarType, PyObject* obj) {
switch (scalarType) {
case at::kByte: *(uint8_t*)data = (uint8_t)THPUtils_unpackLong(obj); break;
case at::kChar: *(char*)data = (char)THPUtils_unpackLong(obj); break;
case at::kShort: *(int16_t*)data = (int16_t)THPUtils_unpackLong(obj); break;
case at::kInt: *(int32_t*)data = (int32_t)THPUtils_unpackLong(obj); break;
case at::kLong: *(int64_t*)data = THPUtils_unpackLong(obj); break;
case at::kHalf:
*(at::Half*)data = at::convert<at::Half, double>(THPUtils_unpackDouble(obj));
break;
case at::kFloat: *(float*)data = (float)THPUtils_unpackDouble(obj); break;
case at::kDouble: *(double*)data = THPUtils_unpackDouble(obj); break;
case at::kComplexFloat: *(std::complex<float>*)data = (std::complex<float>)THPUtils_unpackComplexDouble(obj); break;
case at::kComplexDouble: *(std::complex<double>*)data = THPUtils_unpackComplexDouble(obj); break;
default: throw std::runtime_error("invalid type");
}
}
inline PyObject* load_scalar(void* data, at::ScalarType scalarType) {
switch (scalarType) {
case at::kByte: return THPUtils_packInt64(*(uint8_t*)data);
case at::kChar: return THPUtils_packInt64(*(char*)data);
case at::kShort: return THPUtils_packInt64(*(int16_t*)data);
case at::kInt: return THPUtils_packInt64(*(int32_t*)data);
case at::kLong: return THPUtils_packInt64(*(int64_t*)data);
case at::kHalf: return PyFloat_FromDouble(at::convert<double, at::Half>(*(at::Half*)data));
case at::kFloat: return PyFloat_FromDouble(*(float*)data);
case at::kDouble: return PyFloat_FromDouble(*(double*)data);
case at::kComplexFloat: return PyComplex_FromCComplex(*reinterpret_cast<Py_complex *>((std::complex<float>*)data));
case at::kComplexDouble: return PyComplex_FromCComplex(*reinterpret_cast<Py_complex *>((std::complex<double>*)data));
default: throw std::runtime_error("invalid type");
}
}
}} // namespace torch::utils