Files
pytorch/.github/scripts/build_triton_wheel.py
PyTorch MergeBot 99f2491af9 Revert "Use absolute path path.resolve() -> path.absolute() (#129409)"
This reverts commit 45411d1fc9a2b6d2f891b6ab0ae16409719e09fc.

Reverted https://github.com/pytorch/pytorch/pull/129409 on behalf of https://github.com/jeanschmidt due to Breaking internal CI, @albanD please help get this PR merged ([comment](https://github.com/pytorch/pytorch/pull/129409#issuecomment-2571316444))
2025-01-04 14:17:20 +00:00

200 lines
6.4 KiB
Python

#!/usr/bin/env python3
import os
import shutil
import sys
from pathlib import Path
from subprocess import check_call
from tempfile import TemporaryDirectory
from typing import Optional
SCRIPT_DIR = Path(__file__).parent
REPO_DIR = SCRIPT_DIR.parent.parent
def read_triton_pin(device: str = "cuda") -> str:
triton_file = "triton.txt"
if device == "xpu":
triton_file = "triton-xpu.txt"
with open(REPO_DIR / ".ci" / "docker" / "ci_commit_pins" / triton_file) as f:
return f.read().strip()
def read_triton_version() -> str:
with open(REPO_DIR / ".ci" / "docker" / "triton_version.txt") as f:
return f.read().strip()
def check_and_replace(inp: str, src: str, dst: str) -> str:
"""Checks that `src` can be found in `input` and replaces it with `dst`"""
if src not in inp:
raise RuntimeError(f"Can't find ${src} in the input")
return inp.replace(src, dst)
def patch_init_py(
path: Path, *, version: str, expected_version: Optional[str] = None
) -> None:
if not expected_version:
expected_version = read_triton_version()
with open(path) as f:
orig = f.read()
# Replace version
orig = check_and_replace(
orig, f"__version__ = '{expected_version}'", f'__version__ = "{version}"'
)
with open(path, "w") as f:
f.write(orig)
def build_triton(
*,
version: str,
commit_hash: str,
build_conda: bool = False,
device: str = "cuda",
py_version: Optional[str] = None,
release: bool = False,
with_clang_ldd: bool = False,
) -> Path:
env = os.environ.copy()
if "MAX_JOBS" not in env:
max_jobs = os.cpu_count() or 1
env["MAX_JOBS"] = str(max_jobs)
with TemporaryDirectory() as tmpdir:
triton_basedir = Path(tmpdir) / "triton"
triton_pythondir = triton_basedir / "python"
triton_repo = "https://github.com/openai/triton"
if device == "rocm":
triton_pkg_name = "pytorch-triton-rocm"
elif device == "xpu":
triton_pkg_name = "pytorch-triton-xpu"
triton_repo = "https://github.com/intel/intel-xpu-backend-for-triton"
else:
triton_pkg_name = "pytorch-triton"
check_call(["git", "clone", triton_repo, "triton"], cwd=tmpdir)
if release:
ver, rev, patch = version.split(".")
check_call(
["git", "checkout", f"release/{ver}.{rev}.x"], cwd=triton_basedir
)
else:
check_call(["git", "checkout", commit_hash], cwd=triton_basedir)
if build_conda:
with open(triton_basedir / "meta.yaml", "w") as meta:
print(
f"package:\n name: torchtriton\n version: {version}\n",
file=meta,
)
print("source:\n path: .\n", file=meta)
print(
"build:\n string: py{{py}}\n number: 1\n script: cd python; "
"python setup.py install --record=record.txt\n",
" script_env:\n - MAX_JOBS\n",
file=meta,
)
print(
"requirements:\n host:\n - python\n - setuptools\n - pybind11\n"
" run:\n - python\n - filelock\n - pytorch\n",
file=meta,
)
print(
"about:\n home: https://github.com/openai/triton\n license: MIT\n summary:"
" 'A language and compiler for custom Deep Learning operation'",
file=meta,
)
patch_init_py(
triton_pythondir / "triton" / "__init__.py",
version=f"{version}",
)
if py_version is None:
py_version = f"{sys.version_info.major}.{sys.version_info.minor}"
check_call(
[
"conda",
"build",
"--python",
py_version,
"-c",
"pytorch-nightly",
"--output-folder",
tmpdir,
".",
],
cwd=triton_basedir,
env=env,
)
conda_path = next(iter(Path(tmpdir).glob("linux-64/torchtriton*.bz2")))
shutil.copy(conda_path, Path.cwd())
return Path.cwd() / conda_path.name
# change built wheel name and version
env["TRITON_WHEEL_NAME"] = triton_pkg_name
if with_clang_ldd:
env["TRITON_BUILD_WITH_CLANG_LLD"] = "1"
patch_init_py(
triton_pythondir / "triton" / "__init__.py",
version=f"{version}",
expected_version=None,
)
if device == "rocm":
check_call(
[f"{SCRIPT_DIR}/amd/package_triton_wheel.sh"],
cwd=triton_basedir,
shell=True,
)
print("ROCm libraries setup for triton installation...")
check_call(
[sys.executable, "setup.py", "bdist_wheel"], cwd=triton_pythondir, env=env
)
whl_path = next(iter((triton_pythondir / "dist").glob("*.whl")))
shutil.copy(whl_path, Path.cwd())
if device == "rocm":
check_call(
[f"{SCRIPT_DIR}/amd/patch_triton_wheel.sh", Path.cwd()],
cwd=triton_basedir,
)
return Path.cwd() / whl_path.name
def main() -> None:
from argparse import ArgumentParser
parser = ArgumentParser("Build Triton binaries")
parser.add_argument("--release", action="store_true")
parser.add_argument("--build-conda", action="store_true")
parser.add_argument(
"--device", type=str, default="cuda", choices=["cuda", "rocm", "xpu"]
)
parser.add_argument("--py-version", type=str)
parser.add_argument("--commit-hash", type=str)
parser.add_argument("--with-clang-ldd", action="store_true")
parser.add_argument("--triton-version", type=str, default=read_triton_version())
args = parser.parse_args()
build_triton(
device=args.device,
commit_hash=(
args.commit_hash if args.commit_hash else read_triton_pin(args.device)
),
version=args.triton_version,
build_conda=args.build_conda,
py_version=args.py_version,
release=args.release,
with_clang_ldd=args.with_clang_ldd,
)
if __name__ == "__main__":
main()