mirror of
https://github.com/zebrajr/pytorch.git
synced 2025-12-06 12:20:52 +01:00
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
46 lines
2.2 KiB
C++
46 lines
2.2 KiB
C++
#pragma once
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#include <ATen/ATen.h>
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#include <torch/csrc/python_headers.h>
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#include <torch/csrc/utils/python_numbers.h>
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#include <torch/csrc/Exceptions.h>
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namespace torch { namespace utils {
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inline void store_scalar(void* data, at::ScalarType scalarType, PyObject* obj) {
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switch (scalarType) {
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case at::kByte: *(uint8_t*)data = (uint8_t)THPUtils_unpackLong(obj); break;
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case at::kChar: *(char*)data = (char)THPUtils_unpackLong(obj); break;
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case at::kShort: *(int16_t*)data = (int16_t)THPUtils_unpackLong(obj); break;
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case at::kInt: *(int32_t*)data = (int32_t)THPUtils_unpackLong(obj); break;
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case at::kLong: *(int64_t*)data = THPUtils_unpackLong(obj); break;
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case at::kHalf:
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*(at::Half*)data = at::convert<at::Half, double>(THPUtils_unpackDouble(obj));
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break;
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case at::kFloat: *(float*)data = (float)THPUtils_unpackDouble(obj); break;
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case at::kDouble: *(double*)data = THPUtils_unpackDouble(obj); break;
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case at::kComplexFloat: *(std::complex<float>*)data = (std::complex<float>)THPUtils_unpackComplexDouble(obj); break;
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case at::kComplexDouble: *(std::complex<double>*)data = THPUtils_unpackComplexDouble(obj); break;
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default: throw std::runtime_error("invalid type");
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}
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}
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inline PyObject* load_scalar(void* data, at::ScalarType scalarType) {
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switch (scalarType) {
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case at::kByte: return THPUtils_packInt64(*(uint8_t*)data);
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case at::kChar: return THPUtils_packInt64(*(char*)data);
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case at::kShort: return THPUtils_packInt64(*(int16_t*)data);
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case at::kInt: return THPUtils_packInt64(*(int32_t*)data);
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case at::kLong: return THPUtils_packInt64(*(int64_t*)data);
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case at::kHalf: return PyFloat_FromDouble(at::convert<double, at::Half>(*(at::Half*)data));
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case at::kFloat: return PyFloat_FromDouble(*(float*)data);
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case at::kDouble: return PyFloat_FromDouble(*(double*)data);
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case at::kComplexFloat: return PyComplex_FromCComplex(*reinterpret_cast<Py_complex *>((std::complex<float>*)data));
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case at::kComplexDouble: return PyComplex_FromCComplex(*reinterpret_cast<Py_complex *>((std::complex<double>*)data));
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default: throw std::runtime_error("invalid type");
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}
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}
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}} // namespace torch::utils
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