Files
pytorch/tools/build_pytorch_libs.py

102 lines
3.2 KiB
Python

from __future__ import annotations
import os
import platform
from .optional_submodules import checkout_nccl
from .setup_helpers.cmake import CMake, USE_NINJA
from .setup_helpers.env import (
check_env_flag,
check_negative_env_flag,
IS_64BIT,
IS_WINDOWS,
)
def _get_vc_env(vc_arch: str) -> dict[str, str]:
try:
from setuptools import distutils # type: ignore[import,attr-defined]
return distutils._msvccompiler._get_vc_env(vc_arch) # type: ignore[no-any-return]
except AttributeError:
from setuptools._distutils import (
_msvccompiler, # type: ignore[import,attr-defined]
)
return _msvccompiler._get_vc_env(vc_arch) # type: ignore[no-any-return,attr-defined]
def _overlay_windows_vcvars(env: dict[str, str]) -> dict[str, str]:
vc_arch = "x64" if IS_64BIT else "x86"
if platform.machine() == "ARM64":
vc_arch = "x64_arm64"
# First Win11 Windows on Arm build version that supports x64 emulation
# is 10.0.22000.
win11_1st_version = (10, 0, 22000)
current_win_version = tuple(
int(version_part) for version_part in platform.version().split(".")
)
if current_win_version < win11_1st_version:
vc_arch = "x86_arm64"
print(
"Warning: 32-bit toolchain will be used, but 64-bit linker "
"is recommended to avoid out-of-memory linker error!"
)
print(
"Warning: Please consider upgrading to Win11, where x64 "
"emulation is enabled!"
)
vc_env = _get_vc_env(vc_arch)
# Keys in `_get_vc_env` are always lowercase.
# We turn them into uppercase before overlaying vcvars
# because OS environ keys are always uppercase on Windows.
# https://stackoverflow.com/a/7797329
vc_env = {k.upper(): v for k, v in vc_env.items()}
for k, v in env.items():
uk = k.upper()
if uk not in vc_env:
vc_env[uk] = v
return vc_env
def _create_build_env() -> dict[str, str]:
# XXX - our cmake file sometimes looks at the system environment
# and not cmake flags!
# you should NEVER add something to this list. It is bad practice to
# have cmake read the environment
my_env = os.environ.copy()
if IS_WINDOWS and USE_NINJA:
# When using Ninja under Windows, the gcc toolchain will be chosen as
# default. But it should be set to MSVC as the user's first choice.
my_env = _overlay_windows_vcvars(my_env)
my_env.setdefault("CC", "cl")
my_env.setdefault("CXX", "cl")
return my_env
def build_pytorch(
version: str | None,
cmake_python_library: str | None,
build_python: bool,
rerun_cmake: bool,
cmake_only: bool,
cmake: CMake,
) -> None:
my_env = _create_build_env()
if (
not check_negative_env_flag("USE_CUDA")
and not check_negative_env_flag("USE_NCCL")
and not check_env_flag("USE_SYSTEM_NCCL")
):
checkout_nccl()
build_test = not check_negative_env_flag("BUILD_TEST")
cmake.generate(
version, cmake_python_library, build_python, build_test, my_env, rerun_cmake
)
if cmake_only:
return
cmake.build(my_env)