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f1b74037b1
pytorch/torch/_inductor/cpp_builder.py
Vlad K f1b74037b1 Fix bug when Inductor include path contains spaces (#148271) 
This PR fixes a bug with how include directories with spaces are handled on Windows. I ran into an edge case with torch.compile() - it will error out with an exception on Windows. In particular, it will try to execute the following: `cl /I C:/Program Files/Python311/Include ...`, where `C:/Program` will be treated as separate from `Files/Python311/Include`.

I looked into using something like `shlex.quote` or `pathlib.Path`, but I didn't find those options to be suitable (shlex is POSIX shell only, pathlib.Path does not escape spaces).

There is another place in the function that also deals with escaping spaces. My fix follows the same style. 0ff2e6a85a/torch/_inductor/cpp_builder.py (L1464)

Pull Request resolved: https://github.com/pytorch/pytorch/pull/148271
Approved by: https://github.com/Skylion007

Co-authored-by: Aaron Gokaslan <aaronGokaslan@gmail.com>
2025-03-31 06:46:05 +00:00

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# This CPP builder is designed to support both Windows and Linux OS.
# The design document please check this RFC: https://github.com/pytorch/pytorch/issues/124245
import copy
import errno
import functools
import json
import logging
import os
import platform
import re
import shlex
import shutil
import subprocess
import sys
import sysconfig
import tempfile
import textwrap
import warnings
from collections.abc import Sequence
from ctypes import cdll
from ctypes.util import find_library
from pathlib import Path
from typing import Any, BinaryIO, Optional, Union
import torch
from torch._dynamo.utils import dynamo_timed
from torch._inductor import config, exc
from torch._inductor.cpu_vec_isa import invalid_vec_isa, VecISA
from torch._inductor.runtime.runtime_utils import cache_dir
from torch.torch_version import TorchVersion
if config.is_fbcode():
from triton.fb import build_paths # noqa: F401
from triton.fb.build import _run_build_command
from torch._inductor.fb.utils import (
log_global_cache_errors,
log_global_cache_stats,
log_global_cache_vals,
use_global_cache,
)
else:
def log_global_cache_errors(*args: Any, **kwargs: Any) -> None: # type: ignore[misc]
pass
def log_global_cache_stats(*args: Any, **kwargs: Any) -> None: # type: ignore[misc]
pass
def log_global_cache_vals(*args: Any, **kwargs: Any) -> None: # type: ignore[misc]
pass
def use_global_cache() -> bool: # type: ignore[misc]
return False
# Windows need setup a temp dir to store .obj files.
_BUILD_TEMP_DIR = "CxxBuild"
_HERE = os.path.abspath(__file__)
_TORCH_PATH = os.path.dirname(os.path.dirname(_HERE))
_LINKER_SCRIPT = os.path.join(_TORCH_PATH, "_inductor/script.ld")
# initialize variables for compilation
_IS_LINUX = sys.platform.startswith("linux")
_IS_MACOS = sys.platform.startswith("darwin")
_IS_WINDOWS = sys.platform == "win32"
SUBPROCESS_DECODE_ARGS = ("utf-8",) if _IS_WINDOWS else ()
log = logging.getLogger(__name__)
# =============================== toolchain ===============================
@functools.lru_cache(1)
def cpp_compiler_search(search: str) -> str:
from torch._inductor.codecache import get_lock_dir, LOCK_TIMEOUT
for cxx in search:
try:
if cxx is None:
# gxx package is only available for Linux
# according to https://anaconda.org/conda-forge/gxx/
if sys.platform != "linux":
continue
# Do not install GXX by default
if not os.getenv("TORCH_INDUCTOR_INSTALL_GXX"):
continue
from torch.utils._filelock import FileLock
lock_dir = get_lock_dir()
lock = FileLock(
os.path.join(lock_dir, "g++.lock"), timeout=LOCK_TIMEOUT
)
with lock:
cxx = install_gcc_via_conda()
subprocess.check_output([cxx, "--version"])
return cxx
except (subprocess.SubprocessError, FileNotFoundError, ImportError):
continue
raise exc.InvalidCxxCompiler
def install_gcc_via_conda() -> str:
"""On older systems, this is a quick way to get a modern compiler"""
prefix = os.path.join(cache_dir(), "gcc")
cxx_path = os.path.join(prefix, "bin", "g++")
if not os.path.exists(cxx_path):
log.info("Downloading GCC via conda")
conda = os.environ.get("CONDA_EXE", "conda")
if conda is None:
conda = shutil.which("conda")
if conda is not None:
subprocess.check_call(
[
conda,
"create",
f"--prefix={prefix}",
"--channel=conda-forge",
"--quiet",
"-y",
"python=3.8",
"gxx",
],
stdout=subprocess.PIPE,
)
return cxx_path
@functools.lru_cache(None)
def check_compiler_exist_windows(compiler: str) -> None:
"""
Check if compiler is ready, in case end user not activate MSVC environment.
"""
try:
subprocess.check_output([compiler, "/help"], stderr=subprocess.STDOUT)
except FileNotFoundError as exc:
raise RuntimeError(f"Compiler: {compiler} is not found.") from exc
except subprocess.SubprocessError:
# Expected that some compiler(clang, clang++) is exist, but they not support `/help` args.
pass
def get_cpp_compiler() -> str:
if _IS_WINDOWS:
compiler = os.environ.get("CXX", "cl")
check_compiler_exist_windows(compiler)
else:
if config.is_fbcode():
return build_paths.cc
if isinstance(config.cpp.cxx, (list, tuple)):
search = tuple(config.cpp.cxx)
else:
search = (config.cpp.cxx,)
compiler = cpp_compiler_search(search)
return compiler
@functools.lru_cache(None)
def _is_apple_clang(cpp_compiler: str) -> bool:
version_string = subprocess.check_output([cpp_compiler, "--version"]).decode("utf8")
return "Apple" in version_string.splitlines()[0]
@functools.lru_cache(None)
def _is_clang(cpp_compiler: str) -> bool:
# Mac OS apple clang maybe named as gcc, need check compiler info.
if sys.platform == "darwin":
return _is_apple_clang(cpp_compiler)
elif _IS_WINDOWS:
# clang suite have many compilers, and only clang-cl is supported.
if re.search(r"((clang$)|(clang\+\+$))", cpp_compiler):
raise RuntimeError(
"Please use clang-cl, due to torch.compile only support MSVC-like CLI (compiler flags syntax)."
)
return bool(re.search(r"(clang-cl)", cpp_compiler))
return bool(re.search(r"(clang|clang\+\+)", cpp_compiler))
@functools.lru_cache(None)
def _is_gcc(cpp_compiler: str) -> bool:
# Since "clang++" ends with "g++", the regex match below would validate on it.
if _is_clang(cpp_compiler):
return False
return bool(re.search(r"(gcc|g\+\+|gnu-c\+\+)", cpp_compiler))
@functools.lru_cache(None)
def _is_msvc_cl(cpp_compiler: str) -> bool:
if not _IS_WINDOWS:
return False
try:
output_msg = (
subprocess.check_output([cpp_compiler, "/help"], stderr=subprocess.STDOUT)
.strip()
.decode(*SUBPROCESS_DECODE_ARGS)
)
return "Microsoft" in output_msg.splitlines()[0]
except FileNotFoundError:
return False
return False
@functools.lru_cache(None)
def _is_intel_compiler(cpp_compiler: str) -> bool:
def _check_minimal_version(compiler_version: TorchVersion) -> None:
"""
On Windows: early version icx has `-print-file-name` issue, and can't preload correctly for inductor.
"""
min_version = "2024.2.1" if _IS_WINDOWS else "0.0.0"
if compiler_version < TorchVersion(min_version):
raise RuntimeError(
f"Intel Compiler error: less than minimal version {min_version}."
)
try:
output_msg = (
subprocess.check_output(
[cpp_compiler, "--version"], stderr=subprocess.DEVNULL
)
.strip()
.decode(*SUBPROCESS_DECODE_ARGS)
)
is_intel_compiler = "Intel" in output_msg.splitlines()[0]
if is_intel_compiler:
if _IS_WINDOWS:
if re.search(r"((icx$)|(icx-cc$))", cpp_compiler):
raise RuntimeError(
"Please use icx-cl, due to torch.compile only support MSVC-like CLI (compiler flags syntax)."
)
# Version check
icx_ver_search = re.search(r"(\d+[.]\d+[.]\d+[.]\d+)", output_msg)
if icx_ver_search is not None:
icx_ver = icx_ver_search.group(1)
_check_minimal_version(TorchVersion(icx_ver))
return is_intel_compiler
except FileNotFoundError:
return False
except subprocess.SubprocessError:
# --version args not support.
return False
return False
@functools.lru_cache(None)
def is_gcc() -> bool:
return _is_gcc(get_cpp_compiler())
@functools.lru_cache(None)
def is_clang() -> bool:
return _is_clang(get_cpp_compiler())
@functools.lru_cache(None)
def is_intel_compiler() -> bool:
return _is_intel_compiler(get_cpp_compiler())
@functools.lru_cache(None)
def is_apple_clang() -> bool:
return _is_apple_clang(get_cpp_compiler())
@functools.lru_cache(None)
def is_msvc_cl() -> bool:
return _is_msvc_cl(get_cpp_compiler())
@functools.lru_cache(None)
def get_compiler_version_info(compiler: str) -> str:
env = os.environ.copy()
env["LC_ALL"] = "C" # Don't localize output
try:
version_string = subprocess.check_output(
[compiler, "-v"], stderr=subprocess.STDOUT, env=env
).decode(*SUBPROCESS_DECODE_ARGS)
except Exception:
try:
version_string = subprocess.check_output(
[compiler, "--version"], stderr=subprocess.STDOUT, env=env
).decode(*SUBPROCESS_DECODE_ARGS)
except Exception:
return ""
# Mutiple lines to one line string.
version_string = version_string.replace("\r", "_")
version_string = version_string.replace("\n", "_")
return version_string
# =============================== cpp builder ===============================
def _append_list(dest_list: list[str], src_list: list[str]) -> None:
dest_list.extend(copy.deepcopy(item) for item in src_list)
def _remove_duplication_in_list(orig_list: list[str]) -> list[str]:
new_list: list[str] = []
for item in orig_list:
if item not in new_list:
new_list.append(item)
return new_list
def _create_if_dir_not_exist(path_dir: str) -> None:
if not os.path.exists(path_dir):
try:
Path(path_dir).mkdir(parents=True, exist_ok=True)
except OSError as exc: # Guard against race condition
if exc.errno != errno.EEXIST:
raise RuntimeError( # noqa: TRY200 (Use `raise from`)
f"Fail to create path {path_dir}"
)
def _remove_dir(path_dir: str) -> None:
if os.path.exists(path_dir):
for root, dirs, files in os.walk(path_dir, topdown=False):
for name in files:
file_path = os.path.join(root, name)
os.remove(file_path)
for name in dirs:
dir_path = os.path.join(root, name)
os.rmdir(dir_path)
os.rmdir(path_dir)
def _run_compile_cmd(
cmd_line: str, cwd: str, write_stdout_to: Optional[BinaryIO] = None
) -> None:
cmd = shlex.split(cmd_line)
try:
subprocess.run(
cmd,
cwd=cwd,
check=True,
stdout=write_stdout_to if write_stdout_to else subprocess.PIPE,
stderr=subprocess.PIPE if write_stdout_to else subprocess.STDOUT,
)
except subprocess.CalledProcessError as e:
output = (e.stderr if write_stdout_to else e.stdout).decode("utf-8")
openmp_problem = "'omp.h' file not found" in output or "libomp" in output
if openmp_problem and sys.platform == "darwin":
instruction = (
"\n\nOpenMP support not found. Please try one of the following solutions:\n"
"(1) Set the `CXX` environment variable to a compiler other than Apple clang++/g++ "
"that has builtin OpenMP support;\n"
"(2) install OpenMP via conda: `conda install llvm-openmp`;\n"
"(3) install libomp via brew: `brew install libomp`;\n"
"(4) manually setup OpenMP and set the `OMP_PREFIX` environment variable to point to a path"
" with `include/omp.h` under it."
)
output += instruction
raise exc.CppCompileError(cmd, output) from e
def run_compile_cmd(
cmd_line: str, cwd: str, write_stdout_to: Optional[BinaryIO] = None
) -> None:
with dynamo_timed("compile_file"):
_run_compile_cmd(cmd_line, cwd, write_stdout_to)
def normalize_path_separator(orig_path: str) -> str:
if _IS_WINDOWS:
return orig_path.replace(os.sep, "/")
return orig_path
class BuildOptionsBase:
"""
This is the Base class for store cxx build options, as a template.
Acturally, to build a cxx shared library. We just need to select a compiler
and maintains the suitable args.
"""
def __init__(
self,
compiler: str = "",
definitions: Optional[list[str]] = None,
include_dirs: Optional[list[str]] = None,
cflags: Optional[list[str]] = None,
ldflags: Optional[list[str]] = None,
libraries_dirs: Optional[list[str]] = None,
libraries: Optional[list[str]] = None,
passthrough_args: Optional[list[str]] = None,
aot_mode: bool = False,
use_relative_path: bool = False,
compile_only: bool = False,
precompiling: bool = False,
preprocessing: bool = False,
) -> None:
self._compiler = compiler
self._definitions: list[str] = definitions or []
self._include_dirs: list[str] = include_dirs or []
self._cflags: list[str] = cflags or []
self._ldflags: list[str] = ldflags or []
self._libraries_dirs: list[str] = libraries_dirs or []
self._libraries: list[str] = libraries or []
# Some args are hard to abstract to OS compatible, passthrough directly.
self._passthrough_args: list[str] = passthrough_args or []
# Optionally, the path to a precompiled header which should be included on the
# build command line.
self.precompiled_header: Optional[str] = None
self._aot_mode: bool = aot_mode
self._use_relative_path: bool = use_relative_path
self._compile_only: bool = compile_only
self._precompiling: bool = precompiling
self._preprocessing: bool = preprocessing
def _process_compile_only_options(self) -> None:
if self._compile_only:
self._libraries_dirs = []
self._libraries = []
def _remove_duplicate_options(self) -> None:
self._definitions = _remove_duplication_in_list(self._definitions)
self._include_dirs = _remove_duplication_in_list(self._include_dirs)
self._cflags = _remove_duplication_in_list(self._cflags)
self._ldflags = _remove_duplication_in_list(self._ldflags)
self._libraries_dirs = _remove_duplication_in_list(self._libraries_dirs)
self._libraries = _remove_duplication_in_list(self._libraries)
self._passthrough_args = _remove_duplication_in_list(self._passthrough_args)
def _finalize_options(self) -> None:
self._process_compile_only_options()
self._remove_duplicate_options()
def get_compiler(self) -> str:
return self._compiler
def get_definitions(self) -> list[str]:
return self._definitions
def get_include_dirs(self) -> list[str]:
return self._include_dirs
def get_cflags(self) -> list[str]:
return self._cflags
def get_ldflags(self) -> list[str]:
return self._ldflags
def get_libraries_dirs(self) -> list[str]:
return self._libraries_dirs
def get_libraries(self) -> list[str]:
return self._libraries
def get_passthrough_args(self) -> list[str]:
return self._passthrough_args
def get_aot_mode(self) -> bool:
return self._aot_mode
def get_use_relative_path(self) -> bool:
return self._use_relative_path
def get_compile_only(self) -> bool:
return self._compile_only
def get_precompiling(self) -> bool:
return self._precompiling
def get_preprocessing(self) -> bool:
return self._preprocessing
def save_flags_to_json(self, file: str) -> None:
attrs = {
"compiler": self.get_compiler(),
"definitions": self.get_definitions(),
"include_dirs": self.get_include_dirs(),
"cflags": self.get_cflags(),
"ldflags": self.get_ldflags(),
"libraries_dirs": self.get_libraries_dirs(),
"libraries": self.get_libraries(),
"passthrough_args": self.get_passthrough_args(),
"aot_mode": self.get_aot_mode(),
"use_relative_path": self.get_use_relative_path(),
"compile_only": self.get_compile_only(),
}
with open(file, "w") as f:
json.dump(attrs, f)
def _get_warning_all_cflag(warning_all: bool = True) -> list[str]:
if not _IS_WINDOWS:
return ["Wall"] if warning_all else []
else:
return []
def _get_cpp_std_cflag(std_num: str = "c++17") -> list[str]:
if _IS_WINDOWS:
"""
On Windows, only c++20 can support `std::enable_if_t`.
Ref: https://learn.microsoft.com/en-us/cpp/overview/cpp-conformance-improvements-2019?view=msvc-170#checking-for-abstract-class-types # noqa: B950
Note:
Only setup c++20 for Windows inductor. I tried to upgrade all project to c++20, but it is failed:
https://github.com/pytorch/pytorch/pull/131504
"""
std_num = "c++20"
return [f"std:{std_num}"]
else:
return [f"std={std_num}"]
def _get_os_related_cpp_cflags(cpp_compiler: str) -> list[str]:
if _IS_WINDOWS:
cflags = [
"wd4819",
"wd4251",
"wd4244",
"wd4267",
"wd4275",
"wd4018",
"wd4190",
"wd4624",
"wd4067",
"wd4068",
"EHsc",
]
else:
cflags = ["Wno-unused-variable", "Wno-unknown-pragmas"]
if _is_clang(cpp_compiler):
ignored_optimization_argument = (
"Werror=ignored-optimization-argument"
if config.aot_inductor.raise_error_on_ignored_optimization
else "Wno-ignored-optimization-argument"
)
cflags.append(ignored_optimization_argument)
return cflags
def _get_ffast_math_flags() -> list[str]:
# ffast-math is equivalent to these flags as in
# https://github.com/gcc-mirror/gcc/blob/4700ad1c78ccd7767f846802fca148b2ea9a1852/gcc/opts.cc#L3458-L3468
# however gcc<13 sets the FTZ/DAZ flags for runtime on x86 even if we have
# -ffast-math -fno-unsafe-math-optimizations because the flags for runtime
# are added by linking in crtfastmath.o. This is done by the spec file which
# only does globbing for -ffast-math.
flags = [
"fno-trapping-math",
"funsafe-math-optimizations",
"ffinite-math-only",
"fno-signed-zeros",
"fno-math-errno",
]
if is_gcc():
flags.append("fexcess-precision=fast")
return flags
def _get_optimization_cflags(
cpp_compiler: str, min_optimize: bool = False
) -> list[str]:
if _IS_WINDOWS:
return ["O1" if min_optimize else "O2"]
else:
wrapper_opt_level = config.aot_inductor.compile_wrapper_opt_level
cflags = (
["O0", "g"]
if config.aot_inductor.debug_compile
else [wrapper_opt_level if min_optimize else "O3", "DNDEBUG"]
)
cflags += _get_ffast_math_flags()
cflags.append("fno-finite-math-only")
if not config.cpp.enable_unsafe_math_opt_flag:
cflags.append("fno-unsafe-math-optimizations")
cflags.append(f"ffp-contract={config.cpp.enable_floating_point_contract_flag}")
if sys.platform != "darwin":
# on macos, unknown argument: '-fno-tree-loop-vectorize'
if _is_gcc(cpp_compiler):
cflags.append("fno-tree-loop-vectorize")
# https://stackoverflow.com/questions/65966969/why-does-march-native-not-work-on-apple-m1
# `-march=native` is unrecognized option on M1
if not config.is_fbcode():
if platform.machine() == "ppc64le":
cflags.append("mcpu=native")
else:
cflags.append("march=native")
return cflags
def _get_shared_cflag(compile_only: bool) -> list[str]:
if _IS_WINDOWS:
"""
MSVC `/MD` using python `ucrtbase.dll` lib as runtime.
https://learn.microsoft.com/en-us/cpp/c-runtime-library/crt-library-features?view=msvc-170
"""
SHARED_FLAG = ["DLL", "MD"]
else:
if compile_only:
return ["fPIC"]
if platform.system() == "Darwin" and "clang" in get_cpp_compiler():
# This causes undefined symbols to behave the same as linux
return ["shared", "fPIC", "undefined dynamic_lookup"]
else:
return ["shared", "fPIC"]
return SHARED_FLAG
def get_cpp_options(
cpp_compiler: str,
compile_only: bool,
warning_all: bool = True,
extra_flags: Sequence[str] = (),
min_optimize: bool = False,
) -> tuple[list[str], list[str], list[str], list[str], list[str], list[str], list[str]]:
definitions: list[str] = []
include_dirs: list[str] = []
cflags: list[str] = []
ldflags: list[str] = []
libraries_dirs: list[str] = []
libraries: list[str] = []
passthrough_args: list[str] = []
cflags = (
_get_shared_cflag(compile_only)
+ _get_optimization_cflags(cpp_compiler, min_optimize)
+ _get_warning_all_cflag(warning_all)
+ _get_cpp_std_cflag()
+ _get_os_related_cpp_cflags(cpp_compiler)
)
passthrough_args.append(" ".join(extra_flags))
return (
definitions,
include_dirs,
cflags,
ldflags,
libraries_dirs,
libraries,
passthrough_args,
)
class CppOptions(BuildOptionsBase):
"""
This class is inherited from BuildOptionsBase, and as cxx build options.
This option need contains basic cxx build option, which contains:
1. OS related args.
2. Toolchains related args.
3. Cxx standard related args.
Note:
1. This Options is good for assist modules build, such as x86_isa_help.
"""
def __init__(
self,
compile_only: bool = False,
warning_all: bool = True,
extra_flags: Sequence[str] = (),
use_relative_path: bool = False,
compiler: str = "",
min_optimize: bool = False,
precompiling: bool = False,
preprocessing: bool = False,
) -> None:
super().__init__(
compile_only=compile_only,
use_relative_path=use_relative_path,
precompiling=precompiling,
preprocessing=preprocessing,
)
self._compiler = compiler if compiler else get_cpp_compiler()
(
definitions,
include_dirs,
cflags,
ldflags,
libraries_dirs,
libraries,
passthrough_args,
) = get_cpp_options(
cpp_compiler=self._compiler,
compile_only=compile_only,
extra_flags=extra_flags,
warning_all=warning_all,
min_optimize=min_optimize,
)
_append_list(self._definitions, definitions)
_append_list(self._include_dirs, include_dirs)
_append_list(self._cflags, cflags)
_append_list(self._ldflags, ldflags)
_append_list(self._libraries_dirs, libraries_dirs)
_append_list(self._libraries, libraries)
_append_list(self._passthrough_args, passthrough_args)
self._finalize_options()
def _get_glibcxx_abi_build_flags() -> list[str]:
if not _IS_WINDOWS:
return ["-D_GLIBCXX_USE_CXX11_ABI=" + str(int(torch._C._GLIBCXX_USE_CXX11_ABI))]
else:
return []
def _get_torch_cpp_wrapper_definition() -> list[str]:
return ["TORCH_INDUCTOR_CPP_WRAPPER", "STANDALONE_TORCH_HEADER"]
def _use_custom_generated_macros() -> list[str]:
return [" C10_USING_CUSTOM_GENERATED_MACROS"]
def _use_fb_internal_macros() -> list[str]:
if not _IS_WINDOWS:
if config.is_fbcode():
fb_internal_macros = [
"C10_USE_GLOG",
"C10_USE_MINIMAL_GLOG",
"C10_DISABLE_TENSORIMPL_EXTENSIBILITY",
]
return fb_internal_macros
else:
return []
else:
return []
def _setup_standard_sys_libs(
cpp_compiler: str,
aot_mode: bool,
use_relative_path: bool,
) -> tuple[list[str], list[str], list[str]]:
cflags: list[str] = []
include_dirs: list[str] = []
passthrough_args: list[str] = []
if _IS_WINDOWS:
return cflags, include_dirs, passthrough_args
if config.is_fbcode():
# TODO(T203137008) Can we unify these flags with triton_cc_command?
cflags.append("nostdinc")
# Note that the order of include paths do matter, as a result
# we need to have several branches interleaved here
include_dirs.append(build_paths.sleef_include)
include_dirs.append(build_paths.openmp_include)
include_dirs.append(build_paths.python_include)
include_dirs.append(build_paths.cc_include)
include_dirs.append(build_paths.libgcc_include)
include_dirs.append(build_paths.libgcc_arch_include)
include_dirs.append(build_paths.libgcc_backward_include)
include_dirs.append(build_paths.glibc_include)
include_dirs.append(build_paths.linux_kernel_include)
include_dirs.append("include")
if aot_mode and not use_relative_path:
linker_script = _LINKER_SCRIPT
else:
linker_script = os.path.basename(_LINKER_SCRIPT)
if _is_clang(cpp_compiler):
passthrough_args.append(" --rtlib=compiler-rt")
passthrough_args.append(" -fuse-ld=lld")
passthrough_args.append(f" -Wl,--script={linker_script}")
passthrough_args.append(" -B" + build_paths.glibc_lib)
passthrough_args.append(" -L" + build_paths.glibc_lib)
return cflags, include_dirs, passthrough_args
def _get_build_args_of_chosen_isa(vec_isa: VecISA) -> tuple[list[str], list[str]]:
macros: list[str] = []
build_flags: list[str] = []
if vec_isa != invalid_vec_isa:
# Add Windows support later.
macros.extend(copy.deepcopy(x) for x in vec_isa.build_macro())
build_flags = [vec_isa.build_arch_flags()]
if config.is_fbcode():
cap = str(vec_isa).upper()
macros = [
f"CPU_CAPABILITY={cap}",
f"CPU_CAPABILITY_{cap}",
f"HAVE_{cap}_CPU_DEFINITION",
]
return macros, build_flags
def _get_torch_related_args(
include_pytorch: bool, aot_mode: bool
) -> tuple[list[str], list[str], list[str]]:
from torch.utils.cpp_extension import include_paths, TORCH_LIB_PATH
include_dirs = include_paths()
libraries_dirs = [TORCH_LIB_PATH]
libraries = []
if sys.platform != "darwin" and not config.is_fbcode():
libraries = ["torch", "torch_cpu"]
if not aot_mode:
libraries.append("torch_python")
if _IS_WINDOWS:
libraries.append("sleef")
return include_dirs, libraries_dirs, libraries
def _get_python_include_dirs() -> list[str]:
include_dir = Path(sysconfig.get_path("include"))
# On Darwin Python executable from a framework can return
# non-existing /Library/Python/... include path, in which case
# one should use Headers folder from the framework
if not include_dir.exists() and platform.system() == "Darwin":
std_lib = Path(sysconfig.get_path("stdlib"))
include_dir = (std_lib.parent.parent / "Headers").absolute()
if not (include_dir / "Python.h").exists():
warnings.warn(f"Can't find Python.h in {str(include_dir)}")
return [str(include_dir)]
def _get_python_related_args() -> tuple[list[str], list[str]]:
python_include_dirs = _get_python_include_dirs()
python_include_path = sysconfig.get_path(
"include", scheme="nt" if _IS_WINDOWS else "posix_prefix"
)
if python_include_path is not None:
python_include_dirs.append(python_include_path)
if _IS_WINDOWS:
python_path = os.path.dirname(sys.executable)
python_lib_path = [os.path.join(python_path, "libs")]
else:
python_lib_path = [sysconfig.get_config_var("LIBDIR")]
if config.is_fbcode():
python_include_dirs.append(build_paths.python_include)
return python_include_dirs, python_lib_path
@functools.lru_cache(None)
def is_conda_llvm_openmp_installed() -> bool:
try:
command = "conda list llvm-openmp --json"
output = subprocess.check_output(command.split()).decode("utf8")
return len(json.loads(output)) > 0
except (subprocess.SubprocessError, FileNotFoundError):
return False
@functools.lru_cache(None)
def homebrew_libomp() -> tuple[bool, str]:
try:
# check if `brew` is installed
subprocess.check_output(["which", "brew"])
# get the location of `libomp` if it is installed
# this is the location that `libomp` **would** be installed
# see https://github.com/Homebrew/brew/issues/10261#issuecomment-756563567 for details
libomp_path = (
subprocess.check_output(["brew", "--prefix", "libomp"])
.decode("utf8")
.strip()
)
# check if `libomp` is installed
omp_available = os.path.exists(libomp_path)
return omp_available, libomp_path
except subprocess.SubprocessError:
return False, ""
@functools.lru_cache(None)
def perload_clang_libomp_win(cpp_compiler: str, omp_name: str) -> None:
try:
output = subprocess.check_output([cpp_compiler, "-print-file-name=bin"]).decode(
"utf8"
)
omp_path = os.path.join(output.rstrip(), omp_name)
if os.path.isfile(omp_path):
os.environ["KMP_DUPLICATE_LIB_OK"] = "TRUE"
cdll.LoadLibrary(omp_path)
except subprocess.SubprocessError:
pass
@functools.lru_cache(None)
def perload_icx_libomp_win(cpp_compiler: str) -> None:
def _load_icx_built_in_lib_by_name(cpp_compiler: str, lib_name: str) -> bool:
try:
output = subprocess.check_output(
[cpp_compiler, f"-print-file-name={lib_name}"],
stderr=subprocess.DEVNULL,
).decode(*SUBPROCESS_DECODE_ARGS)
omp_path = output.rstrip()
if os.path.isfile(omp_path):
os.environ["KMP_DUPLICATE_LIB_OK"] = "TRUE"
cdll.LoadLibrary(omp_path)
return True
except subprocess.SubprocessError:
pass
return False
"""
Intel Compiler implenmented more math libraries than clang, for performance proposal.
We need preload them like openmp library.
"""
preload_list = [
"libiomp5md.dll", # openmp
"svml_dispmd.dll", # svml library
"libmmd.dll", # libm
]
for lib_name in preload_list:
_load_icx_built_in_lib_by_name(cpp_compiler, lib_name)
def _get_openmp_args(
cpp_compiler: str,
) -> tuple[list[str], list[str], list[str], list[str], list[str], list[str]]:
cflags: list[str] = []
ldflags: list[str] = []
include_dir_paths: list[str] = []
lib_dir_paths: list[str] = []
libs: list[str] = []
passthrough_args: list[str] = []
if _IS_MACOS:
# Per https://mac.r-project.org/openmp/ right way to pass `openmp` flags to MacOS is via `-Xclang`
cflags.append("Xclang")
cflags.append("fopenmp")
# only Apple builtin compilers (Apple Clang++) require openmp
omp_available = not _is_apple_clang(cpp_compiler)
# check the `OMP_PREFIX` environment first
omp_prefix = os.getenv("OMP_PREFIX")
if omp_prefix is not None:
header_path = os.path.join(omp_prefix, "include", "omp.h")
valid_env = os.path.exists(header_path)
if valid_env:
include_dir_paths.append(os.path.join(omp_prefix, "include"))
lib_dir_paths.append(os.path.join(omp_prefix, "lib"))
else:
warnings.warn("environment variable `OMP_PREFIX` is invalid.")
omp_available = omp_available or valid_env
if not omp_available:
libs.append("omp")
# prefer to use openmp from `conda install llvm-openmp`
conda_prefix = os.getenv("CONDA_PREFIX")
if not omp_available and conda_prefix is not None:
omp_available = is_conda_llvm_openmp_installed()
if omp_available:
conda_lib_path = os.path.join(conda_prefix, "lib")
include_dir_paths.append(os.path.join(conda_prefix, "include"))
lib_dir_paths.append(conda_lib_path)
# Prefer Intel OpenMP on x86 machine
if os.uname().machine == "x86_64" and os.path.exists(
os.path.join(conda_lib_path, "libiomp5.dylib")
):
libs.append("iomp5")
# next, try to use openmp from `brew install libomp`
if not omp_available:
omp_available, libomp_path = homebrew_libomp()
if omp_available:
include_dir_paths.append(os.path.join(libomp_path, "include"))
lib_dir_paths.append(os.path.join(libomp_path, "lib"))
# if openmp is still not available, we let the compiler to have a try,
# and raise error together with instructions at compilation error later
elif _IS_WINDOWS:
"""
On Windows, `clang` and `icx` have their specific openmp implenmention.
And the openmp lib is in compiler's some sub-directory.
For dynamic library(DLL) load, the Windows native APIs are `LoadLibraryA` and `LoadLibraryExA`, and their search
dependencies have some rules:
https://learn.microsoft.com/en-us/windows/win32/api/libloaderapi/nf-libloaderapi-loadlibraryexa#searching-for-dlls-and-dependencies
In some case, the rules may not include compiler's sub-directories.
So, it can't search and load compiler's openmp library correctly.
And then, the whole application would be broken.
To avoid the openmp load failed, we can automatic locate the openmp binary and preload it.
1. For clang, the function is `perload_clang_libomp_win`.
2. For icx, the function is `perload_icx_libomp_win`.
"""
if _is_clang(cpp_compiler):
cflags.append("openmp")
libs.append("libomp")
perload_clang_libomp_win(cpp_compiler, "libomp.dll")
elif _is_intel_compiler(cpp_compiler):
cflags.append("Qiopenmp")
libs.append("libiomp5md")
perload_icx_libomp_win(cpp_compiler)
else:
# /openmp, /openmp:llvm
# llvm on Windows, new openmp: https://devblogs.microsoft.com/cppblog/msvc-openmp-update/
# msvc openmp: https://learn.microsoft.com/zh-cn/cpp/build/reference/openmp-enable-openmp-2-0-support?view=msvc-170
cflags.append("openmp")
cflags.append("openmp:experimental") # MSVC CL
else:
if config.is_fbcode():
include_dir_paths.append(build_paths.openmp_include)
openmp_lib = build_paths.openmp_lib_so
fb_openmp_extra_flags = f"-Wp,-fopenmp {openmp_lib}"
passthrough_args.append(fb_openmp_extra_flags)
libs.append("omp")
else:
if _is_clang(cpp_compiler):
# TODO: fix issue, can't find omp.h
cflags.append("fopenmp")
libs.append("gomp")
elif _is_intel_compiler(cpp_compiler):
cflags.append("fiopenmp")
else:
cflags.append("fopenmp")
libs.append("gomp")
return cflags, ldflags, include_dir_paths, lib_dir_paths, libs, passthrough_args
def get_mmap_self_macro(use_mmap_weights: bool) -> list[str]:
macros = []
if use_mmap_weights:
macros.append(" USE_MMAP_SELF")
return macros
def get_cpp_torch_options(
cpp_compiler: str,
vec_isa: VecISA,
include_pytorch: bool,
aot_mode: bool,
compile_only: bool,
use_relative_path: bool,
use_mmap_weights: bool,
) -> tuple[list[str], list[str], list[str], list[str], list[str], list[str], list[str]]:
definitions: list[str] = []
include_dirs: list[str] = []
cflags: list[str] = []
ldflags: list[str] = []
libraries_dirs: list[str] = []
libraries: list[str] = []
passthrough_args: list[str] = []
torch_cpp_wrapper_definitions = _get_torch_cpp_wrapper_definition()
use_custom_generated_macros_definitions = _use_custom_generated_macros()
(
sys_libs_cflags,
sys_libs_include_dirs,
sys_libs_passthrough_args,
) = _setup_standard_sys_libs(cpp_compiler, aot_mode, use_relative_path)
isa_macros, isa_ps_args_build_flags = _get_build_args_of_chosen_isa(vec_isa)
(
torch_include_dirs,
torch_libraries_dirs,
torch_libraries,
) = _get_torch_related_args(include_pytorch=include_pytorch, aot_mode=aot_mode)
python_include_dirs, python_libraries_dirs = _get_python_related_args()
(
omp_cflags,
omp_ldflags,
omp_include_dir_paths,
omp_lib_dir_paths,
omp_lib,
omp_passthrough_args,
) = _get_openmp_args(cpp_compiler)
cxx_abi_passthrough_args = _get_glibcxx_abi_build_flags()
fb_macro_passthrough_args = _use_fb_internal_macros()
mmap_self_macros = get_mmap_self_macro(use_mmap_weights)
definitions = (
torch_cpp_wrapper_definitions
+ use_custom_generated_macros_definitions
+ isa_macros
+ fb_macro_passthrough_args
+ mmap_self_macros
)
include_dirs = (
sys_libs_include_dirs
+ python_include_dirs
+ torch_include_dirs
+ omp_include_dir_paths
)
cflags = sys_libs_cflags + omp_cflags
ldflags = omp_ldflags
libraries_dirs = python_libraries_dirs + torch_libraries_dirs + omp_lib_dir_paths
libraries = torch_libraries + omp_lib
passthrough_args = (
sys_libs_passthrough_args
+ isa_ps_args_build_flags
+ cxx_abi_passthrough_args
+ omp_passthrough_args
)
return (
definitions,
include_dirs,
cflags,
ldflags,
libraries_dirs,
libraries,
passthrough_args,
)
class CppTorchOptions(CppOptions):
"""
This class is inherited from CppTorchOptions, which automatic contains
base cxx build options. And then it will maintains torch related build
args.
1. Torch include_directories, libraries, libraries_directories.
2. Python include_directories, libraries, libraries_directories.
3. OpenMP related.
4. Torch MACROs.
5. MISC
"""
def __init__(
self,
vec_isa: VecISA = invalid_vec_isa,
include_pytorch: bool = False,
warning_all: bool = True,
aot_mode: bool = False,
compile_only: bool = False,
use_relative_path: bool = False,
use_mmap_weights: bool = False,
shared: bool = True,
extra_flags: Sequence[str] = (),
compiler: str = "",
min_optimize: bool = False,
precompiling: bool = False,
preprocessing: bool = False,
) -> None:
super().__init__(
compile_only=compile_only,
warning_all=warning_all,
extra_flags=extra_flags,
use_relative_path=use_relative_path,
compiler=compiler,
min_optimize=min_optimize,
precompiling=precompiling,
preprocessing=preprocessing,
)
self._aot_mode = aot_mode
(
torch_definitions,
torch_include_dirs,
torch_cflags,
torch_ldflags,
torch_libraries_dirs,
torch_libraries,
torch_passthrough_args,
) = get_cpp_torch_options(
cpp_compiler=self._compiler,
vec_isa=vec_isa,
include_pytorch=include_pytorch,
aot_mode=aot_mode,
compile_only=compile_only,
use_relative_path=use_relative_path,
use_mmap_weights=use_mmap_weights,
)
_append_list(self._definitions, torch_definitions)
_append_list(self._include_dirs, torch_include_dirs)
_append_list(self._cflags, torch_cflags)
_append_list(self._ldflags, torch_ldflags)
_append_list(self._libraries_dirs, torch_libraries_dirs)
_append_list(self._libraries, torch_libraries)
_append_list(self._passthrough_args, torch_passthrough_args)
self._finalize_options()
def _set_gpu_runtime_env() -> None:
if (
config.is_fbcode()
and torch.version.hip is None
and "CUDA_HOME" not in os.environ
and "CUDA_PATH" not in os.environ
):
os.environ["CUDA_HOME"] = build_paths.sdk_home
@functools.lru_cache(8)
def _find_libcudart_static(path: str) -> Optional[Path]:
lib_dirs = list(Path(path).rglob("libcudart_static.a"))
if lib_dirs:
return lib_dirs[0].resolve().parent
log_msg = f'"libcudart_static.a" not found under {path}'
log.info(log_msg)
return None
def _transform_cuda_paths(lpaths: list[str]) -> None:
# This handles two cases:
# 1. Cases where libs are in (e.g.) lib/cuda-12 and lib/cuda-12/stubs
# 2. Linux machines may have CUDA installed under either lib64/ or lib/
for i, path in enumerate(lpaths):
if "CUDA_HOME" in os.environ and path.startswith(os.environ["CUDA_HOME"]):
lib_dir: Optional[Path] = _find_libcudart_static(path)
if lib_dir is None:
continue
lpaths[i] = str(lib_dir)
stub_dir = lib_dir / "stubs"
if stub_dir.exists():
lpaths.append(str(stub_dir))
def get_cpp_torch_device_options(
device_type: str,
aot_mode: bool = False,
compile_only: bool = False,
) -> tuple[list[str], list[str], list[str], list[str], list[str], list[str], list[str]]:
definitions: list[str] = []
include_dirs: list[str] = []
cflags: list[str] = []
ldflags: list[str] = []
libraries_dirs: list[str] = []
libraries: list[str] = []
passthrough_args: list[str] = []
if (
config.is_fbcode()
and "CUDA_HOME" not in os.environ
and "CUDA_PATH" not in os.environ
):
os.environ["CUDA_HOME"] = build_paths.sdk_home
_set_gpu_runtime_env()
from torch.utils import cpp_extension
include_dirs = cpp_extension.include_paths(device_type)
libraries_dirs = cpp_extension.library_paths(device_type)
if device_type == "cuda":
definitions.append(" USE_ROCM" if torch.version.hip else " USE_CUDA")
if torch.version.hip is not None:
if config.is_fbcode():
libraries += ["amdhip64"]
else:
libraries += ["c10_hip", "torch_hip"]
definitions.append(" __HIP_PLATFORM_AMD__")
else:
if config.is_fbcode():
libraries += ["cuda"]
else:
libraries += ["c10_cuda", "cuda", "torch_cuda"]
_transform_cuda_paths(libraries_dirs)
if device_type == "xpu":
definitions.append(" USE_XPU")
# Suppress multi-line comment warnings in sycl headers
cflags += ["Wno-comment"]
libraries += ["c10_xpu", "sycl", "ze_loader", "torch_xpu"]
if not find_library("ze_loader"):
raise OSError(
"Intel GPU driver is not properly installed, please follow the instruction "
"in https://github.com/pytorch/pytorch?tab=readme-ov-file#intel-gpu-support."
)
if aot_mode:
if config.is_fbcode():
from torch._inductor.codecache import cpp_prefix_path
cpp_prefix_include_dir = [f"{os.path.dirname(cpp_prefix_path())}"]
include_dirs += cpp_prefix_include_dir
if config.is_fbcode():
include_dirs.append(build_paths.sdk_include)
if aot_mode and device_type == "cuda":
if torch.version.hip is None:
if not compile_only:
# Only add link args, when compile_only is false.
passthrough_args = ["-Wl,-Bstatic -lcudart_static -Wl,-Bdynamic"]
return (
definitions,
include_dirs,
cflags,
ldflags,
libraries_dirs,
libraries,
passthrough_args,
)
class CppTorchDeviceOptions(CppTorchOptions):
"""
This class is inherited from CppTorchOptions, which automatic contains
base cxx build options and torch common build options. And then it will
maintains cuda/xpu device related build args.
"""
def __init__(
self,
vec_isa: VecISA = invalid_vec_isa,
include_pytorch: bool = False,
device_type: str = "cuda",
aot_mode: bool = False,
compile_only: bool = False,
use_relative_path: bool = False,
use_mmap_weights: bool = False,
shared: bool = True,
extra_flags: Sequence[str] = (),
min_optimize: bool = False,
precompiling: bool = False,
preprocessing: bool = False,
) -> None:
super().__init__(
vec_isa=vec_isa,
include_pytorch=include_pytorch,
aot_mode=aot_mode,
compile_only=compile_only,
use_relative_path=use_relative_path,
use_mmap_weights=use_mmap_weights,
extra_flags=extra_flags,
min_optimize=min_optimize,
precompiling=precompiling,
preprocessing=preprocessing,
)
device_definitions: list[str] = []
device_include_dirs: list[str] = []
device_cflags: list[str] = []
device_ldflags: list[str] = []
device_libraries_dirs: list[str] = []
device_libraries: list[str] = []
device_passthrough_args: list[str] = []
(
device_definitions,
device_include_dirs,
device_cflags,
device_ldflags,
device_libraries_dirs,
device_libraries,
device_passthrough_args,
) = get_cpp_torch_device_options(
device_type=device_type, aot_mode=aot_mode, compile_only=compile_only
)
_append_list(self._definitions, device_definitions)
_append_list(self._include_dirs, device_include_dirs)
_append_list(self._cflags, device_cflags)
_append_list(self._ldflags, device_ldflags)
_append_list(self._libraries_dirs, device_libraries_dirs)
_append_list(self._libraries, device_libraries)
_append_list(self._passthrough_args, device_passthrough_args)
self._finalize_options()
def _finalize_options(self) -> None:
super()._finalize_options()
if config.is_fbcode():
# Re-order library search paths in case there are lib conflicts
# that also live in the FBCode python lib dir.
_, python_lib_dirs = _get_python_related_args()
assert len(python_lib_dirs) == 1, f"Python lib dirs: {python_lib_dirs}"
if python_lib_dirs[0] in self._libraries_dirs:
self._libraries_dirs.remove(python_lib_dirs[0])
self._libraries_dirs.append(python_lib_dirs[0])
def get_name_and_dir_from_output_file_path(
file_path: str,
) -> tuple[str, str]:
"""
This function help prepare parameters to new cpp_builder.
Example:
input_code: /tmp/tmpof1n5g7t/5c/c5crkkcdvhdxpktrmjxbqkqyq5hmxpqsfza4pxcf3mwk42lphygc.cpp
name, dir = get_name_and_dir_from_output_file_path(input_code)
Run result:
name = c5crkkcdvhdxpktrmjxbqkqyq5hmxpqsfza4pxcf3mwk42lphygc
dir = /tmp/tmpof1n5g7t/5c/
put 'name' and 'dir' to CppBuilder's 'name' and 'output_dir'.
CppBuilder --> get_target_file_path will format output path accoding OS:
Linux: /tmp/tmppu87g3mm/zh/czhwiz4z7ca7ep3qkxenxerfjxy42kehw6h5cjk6ven4qu4hql4i.so
Windows: [Windows temp path]/tmppu87g3mm/zh/czhwiz4z7ca7ep3qkxenxerfjxy42kehw6h5cjk6ven4qu4hql4i.dll
"""
name_and_ext = os.path.basename(file_path)
name, _ext = os.path.splitext(name_and_ext)
dir = os.path.dirname(file_path)
return name, dir
class CppBuilder:
"""
CppBuilder is a cpp jit builder, and it supports both Windows, Linux and MacOS.
Args:
name:
1. Build target name, the final target file will append extension type automatically.
2. Due to the CppBuilder is supports mutliple OS, it will maintains ext for OS difference.
sources:
Source code file list to be built.
BuildOption:
Build options to the builder.
output_dir:
1. The output_dir the taget file will output to.
2. The default value is empty string, and then the use current dir as output dir.
3. Final target file: output_dir/name.ext
"""
@staticmethod
def __get_python_module_flags() -> tuple[str, str]:
extension = ".pyd" if _IS_WINDOWS else ".so"
output_flags = "/Fe" if _IS_WINDOWS else "-o"
return extension, output_flags
@staticmethod
def __get_object_flags() -> tuple[str, str]:
extension = ".obj" if _IS_WINDOWS else ".o"
output_flags = "/c /Fo" if _IS_WINDOWS else "-c -o"
return extension, output_flags
@staticmethod
def __get_precompiled_header_flags() -> tuple[str, str]:
extension = ".pch" if _IS_WINDOWS or not is_gcc() else ".gch"
output_flags = "/Fp" if _IS_WINDOWS else "-o"
return extension, output_flags
@staticmethod
def __get_preprocessor_output_flags() -> tuple[str, str]:
extension = ".i"
output_flags = "/EP" if _IS_WINDOWS else "-E -P"
return extension, output_flags
def __init__(
self,
name: str,
sources: Union[str, list[str]],
BuildOption: BuildOptionsBase,
output_dir: str = "",
) -> None:
self._compiler = ""
self._cflags_args = ""
self._definitions_args = ""
self._include_dirs_args = ""
self._ldflags_args = ""
self._libraries_dirs_args = ""
self._libraries_args = ""
self._passthrough_parameters_args = ""
# When relative path is used, we need to maintain the source dir list.
self._orig_source_paths = []
self._output_dir = ""
self._target_file = ""
self._use_relative_path: bool = False
self._aot_mode: bool = False
self._name = name
# Code start here, initial self internal veriables firstly.
self._build_option = BuildOption
self._compiler = BuildOption.get_compiler()
self._use_relative_path = BuildOption.get_use_relative_path()
self._aot_mode = BuildOption.get_aot_mode()
self._output_dir = output_dir
self._compile_only = BuildOption.get_compile_only()
self._precompiling = BuildOption.get_precompiling()
self._preprocessing = BuildOption.get_preprocessing()
# Only one of these options (if any) should be true at any given time.
assert sum((self._compile_only, self._precompiling, self._preprocessing)) <= 1
self._do_link = not (
self._compile_only or self._precompiling or self._preprocessing
)
# MSVC produces two files when precompiling: the actual .pch file, as well as an
# object file which must be linked into the final library. This class assumes
# only one output file of note, so for now we'll error out here.
assert not _IS_WINDOWS or not self._precompiling, (
"Cannot currently precompile headers on Windows!"
)
if self._compile_only:
file_ext, output_flags = self.__get_object_flags()
elif self._precompiling:
file_ext, output_flags = self.__get_precompiled_header_flags()
elif self._preprocessing:
file_ext, output_flags = self.__get_preprocessor_output_flags()
else:
file_ext, output_flags = self.__get_python_module_flags()
self._target_file = os.path.join(self._output_dir, f"{self._name}{file_ext}")
if self._preprocessing:
self._output = output_flags
else:
relative_target_file = (
os.path.basename(self._target_file)
if self._use_relative_path
else self._target_file
)
if _IS_WINDOWS:
self._output = f"{output_flags}{relative_target_file}"
else:
self._output = f"{output_flags} {relative_target_file}"
if isinstance(sources, str):
sources = [sources]
if config.is_fbcode() and (not self._aot_mode or self._use_relative_path):
# Will create another temp directory for building, so do NOT use the
# absolute path.
self._orig_source_paths = list(sources)
sources = [os.path.basename(i) for i in sources]
if self._precompiling:
assert len(sources) == 1
# See above; we can currently assume this is not on MSVC.
self._sources_args = f"-x c++-header {sources[0]}"
else:
self._sources_args = " ".join(sources)
for cflag in BuildOption.get_cflags():
if _IS_WINDOWS:
self._cflags_args += f"/{cflag} "
else:
self._cflags_args += f"-{cflag} "
for definition in BuildOption.get_definitions():
if _IS_WINDOWS:
self._definitions_args += f"/D {definition} "
else:
self._definitions_args += f"-D {definition} "
if precompiled_header := BuildOption.precompiled_header:
if _IS_WINDOWS:
log.warning(
"Precompiled header support for MSVC is currently unavailable; ignoring %s",
precompiled_header,
)
else:
self._include_dirs_args = f"-include {precompiled_header} "
for inc_dir in BuildOption.get_include_dirs():
if _IS_WINDOWS:
self._include_dirs_args += f'/I "{inc_dir}" '
else:
self._include_dirs_args += f"-I{shlex.quote(inc_dir)} "
for ldflag in BuildOption.get_ldflags():
if _IS_WINDOWS:
self._ldflags_args += f"/{ldflag} "
else:
self._ldflags_args += f"-{ldflag} "
for lib_dir in BuildOption.get_libraries_dirs():
if _IS_WINDOWS:
self._libraries_dirs_args += f'/LIBPATH:"{lib_dir}" '
else:
self._libraries_dirs_args += f"-L{lib_dir} "
for lib in BuildOption.get_libraries():
if _IS_WINDOWS:
self._libraries_args += f'"{lib}.lib" '
else:
self._libraries_args += f"-l{lib} "
for passthrough_arg in BuildOption.get_passthrough_args():
self._passthrough_parameters_args += f"{passthrough_arg} "
def get_command_line(self) -> str:
def format_build_command(
compiler: str,
sources: str,
include_dirs_args: str,
definitions_args: str,
cflags_args: str,
ldflags_args: str,
libraries_args: str,
libraries_dirs_args: str,
passthrough_args: str,
output: str,
) -> str:
if _IS_WINDOWS:
# https://learn.microsoft.com/en-us/cpp/build/walkthrough-compile-a-c-program-on-the-command-line?view=msvc-1704
# https://stackoverflow.com/a/31566153
cmd = (
f"{compiler} {include_dirs_args} {definitions_args} {cflags_args} "
f"{sources} {passthrough_args} {output}"
)
if self._do_link:
cmd += f" /LD /link {libraries_dirs_args} {libraries_args} {ldflags_args}"
cmd = normalize_path_separator(cmd)
else:
cmd = (
f"{compiler} {sources} {definitions_args} {cflags_args} "
f"{include_dirs_args} {passthrough_args} {output}"
)
if self._do_link:
cmd += f" {ldflags_args} {libraries_args} {libraries_dirs_args}"
return cmd
command_line = format_build_command(
compiler=self._compiler,
sources=self._sources_args,
include_dirs_args=self._include_dirs_args,
definitions_args=self._definitions_args,
cflags_args=self._cflags_args,
ldflags_args=self._ldflags_args,
libraries_args=self._libraries_args,
libraries_dirs_args=self._libraries_dirs_args,
passthrough_args=self._passthrough_parameters_args,
output=self._output,
)
return command_line
def get_target_file_path(self) -> str:
return normalize_path_separator(self._target_file)
def build_fbcode_re(
self,
) -> None:
from torch._inductor.codecache import cpp_prefix_path
with dynamo_timed("compile_file"):
command = self.get_command_line().split()
try:
# Need to copy our header into the same folder as the sourcecode.
header_path = cpp_prefix_path()
header_name = os.path.basename(header_path)
output_path = self._target_file
# When we build remotely, we need to make sure to carefully copy any files
# that are required during the compilation process into our build directly.
# This is where all of the ATen/c10/Torch includes come from.
torch_includes_path = os.path.join(_TORCH_PATH, "include")
with tempfile.TemporaryDirectory() as tmp_dir:
# Copy everything to tmp compilation folder
shutil.copy(header_path, os.path.join(tmp_dir, header_name))
shutil.copy(_LINKER_SCRIPT, os.path.join(tmp_dir, "script.ld"))
for src in self._orig_source_paths:
shutil.copy(src, os.path.join(tmp_dir, os.path.basename(src)))
dest_include_path = os.path.join(tmp_dir, "include")
shutil.copytree(torch_includes_path, dest_include_path)
# Run the build
tmp_output_path = _run_build_command(
command, tmp_dir, os.path.basename(output_path)
)
# Copy output from the build
if os.path.exists(output_path):
os.remove(output_path)
shutil.copy(tmp_output_path, output_path)
if output_path.endswith(".o"):
os.chmod(output_path, 0o644)
elif output_path.endswith(".so"):
os.chmod(output_path, 0o755)
except subprocess.CalledProcessError as e:
output = e.output.decode("utf-8")
raise exc.CppCompileError(command, output) from e
def build(self) -> None:
"""
It is must need a temperary directory to store object files in Windows.
After build completed, delete the temperary directory to save disk space.
"""
if self._use_relative_path:
# remote build uses relative path
return self.build_fbcode_re()
_create_if_dir_not_exist(self._output_dir)
_build_tmp_dir = os.path.join(
self._output_dir, f"{self._name}_{_BUILD_TEMP_DIR}"
)
_create_if_dir_not_exist(_build_tmp_dir)
build_cmd = self.get_command_line()
if self._preprocessing:
with open(self.get_target_file_path(), "wb") as preprocessed_file:
run_compile_cmd(
build_cmd, cwd=_build_tmp_dir, write_stdout_to=preprocessed_file
)
else:
run_compile_cmd(build_cmd, cwd=_build_tmp_dir)
_remove_dir(_build_tmp_dir)
def save_compile_cmd_to_cmake(
self,
cmake_path: str,
) -> None:
definitions = " ".join(self._build_option.get_definitions())
contents = textwrap.dedent(
f"""
cmake_minimum_required(VERSION 3.18 FATAL_ERROR)
project(aoti_model LANGUAGES CXX)
set(CMAKE_CXX_STANDARD 17)
# May need to point CMAKE_PREFIX_PATH to the right torch location
find_package(Torch REQUIRED)
# Set a shared library target
add_library(aoti_model SHARED)
# Add macro definitions
target_compile_definitions(aoti_model PRIVATE {definitions})
# Add compile flags
target_compile_options(aoti_model PRIVATE {self._cflags_args})
# Backend specific flags
target_compile_options(aoti_model PRIVATE {self._passthrough_parameters_args} -c)
"""
)
with open(cmake_path, "w") as f:
f.write(contents)
def save_src_to_cmake(self, cmake_path: str, src_path: str) -> None:
# Remove the directory part of file_path
src_path = "${CMAKE_CURRENT_SOURCE_DIR}/" + Path(src_path).name
with open(cmake_path, "a") as f:
f.write(f"target_sources(aoti_model PRIVATE {src_path})\n")
def save_link_cmd_to_cmake(self, cmake_path: str) -> None:
lflags = " ".join(self._build_option.get_ldflags())
libs = " ".join(self._build_option.get_libraries())
contents = textwrap.dedent(
f"""
# Add linker flags
target_link_options(aoti_model PRIVATE {lflags})
# Add libraries
target_link_libraries(aoti_model PRIVATE {libs})
"""
)
assert os.path.exists(cmake_path), (
f"save_link_cmd_to_cmakefile expects {cmake_path} to already exist"
)
with open(cmake_path, "a") as f:
f.write(contents)
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