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# Copyright (c) 2022-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# See LICENSE for license information.
"""Installation script."""
from importlib import metadata
import os
import shutil
import subprocess
import time
from pathlib import Path
from typing import List, Tuple
import setuptools
from wheel.bdist_wheel import bdist_wheel
from build_tools.build_ext import CMakeExtension, get_build_ext
from build_tools.te_version import te_version
from build_tools.utils import (
cuda_archs,
cuda_version,
get_frameworks,
remove_dups,
min_python_version_str,
)
frameworks = get_frameworks()
current_file_path = Path(__file__).parent.resolve()
from setuptools.command.build_ext import build_ext as BuildExtension
os.environ["NVTE_PROJECT_BUILDING"] = "1"
if "pytorch" in frameworks:
from torch.utils.cpp_extension import BuildExtension
elif "jax" in frameworks:
from pybind11.setup_helpers import build_ext as BuildExtension
CMakeBuildExtension = get_build_ext(BuildExtension)
archs = cuda_archs()
class TimedBdist(bdist_wheel):
"""Helper class to measure build time"""
def run(self):
start_time = time.perf_counter()
super().run()
total_time = time.perf_counter() - start_time
print(f"Total time for bdist_wheel: {total_time:.2f} seconds")
def setup_common_extension() -> CMakeExtension:
"""Setup CMake extension for common library"""
cmake_flags = ["-DCMAKE_CUDA_ARCHITECTURES={}".format(archs)]
if bool(int(os.getenv("NVTE_UB_WITH_MPI", "0"))):
assert (
os.getenv("MPI_HOME") is not None
), "MPI_HOME must be set when compiling with NVTE_UB_WITH_MPI=1"
cmake_flags.append("-DNVTE_UB_WITH_MPI=ON")
if bool(int(os.getenv("NVTE_ENABLE_NVSHMEM", "0"))):
assert (
os.getenv("NVSHMEM_HOME") is not None
), "NVSHMEM_HOME must be set when compiling with NVTE_ENABLE_NVSHMEM=1"
cmake_flags.append("-DNVTE_ENABLE_NVSHMEM=ON")
if bool(int(os.getenv("NVTE_BUILD_ACTIVATION_WITH_FAST_MATH", "0"))):
cmake_flags.append("-DNVTE_BUILD_ACTIVATION_WITH_FAST_MATH=ON")
if bool(int(os.getenv("NVTE_WITH_CUBLASMP", "0"))):
cmake_flags.append("-DNVTE_WITH_CUBLASMP=ON")
cublasmp_dir = os.getenv("CUBLASMP_HOME") or metadata.distribution(
f"nvidia-cublasmp-cu{cuda_version()[0]}"
).locate_file(f"nvidia/cublasmp/cu{cuda_version()[0]}")
cmake_flags.append(f"-DCUBLASMP_DIR={cublasmp_dir}")
# Add custom CMake arguments from environment variable
nvte_cmake_extra_args = os.getenv("NVTE_CMAKE_EXTRA_ARGS")
if nvte_cmake_extra_args:
cmake_flags.extend(nvte_cmake_extra_args.split())
# Project directory root
root_path = Path(__file__).resolve().parent
return CMakeExtension(
name="transformer_engine",
cmake_path=root_path / Path("transformer_engine/common"),
cmake_flags=cmake_flags,
)
def setup_requirements() -> Tuple[List[str], List[str]]:
"""Setup Python dependencies
Returns dependencies for runtime and testing.
"""
# Common requirements
install_reqs: List[str] = [
"pydantic",
"importlib-metadata>=1.0",
"packaging",
]
test_reqs: List[str] = ["pytest>=8.2.1"]
# Framework-specific requirements
if not bool(int(os.getenv("NVTE_RELEASE_BUILD", "0"))):
if "pytorch" in frameworks:
from build_tools.pytorch import install_requirements, test_requirements
install_reqs.extend(install_requirements())
test_reqs.extend(test_requirements())
if "jax" in frameworks:
from build_tools.jax import install_requirements, test_requirements
install_reqs.extend(install_requirements())
test_reqs.extend(test_requirements())
return [remove_dups(reqs) for reqs in [install_reqs, test_reqs]]
def git_check_submodules() -> None:
"""
Attempt to checkout git submodules automatically during setup.
This runs successfully only if the submodules are
either in the correct or uninitialized state.
Note to devs: With this, any updates to the submodules itself, e.g. moving to a newer
commit, must be commited before build. This also ensures that stale submodules aren't
being silently used by developers.
"""
# Provide an option to skip these checks for development.
if bool(int(os.getenv("NVTE_SKIP_SUBMODULE_CHECKS_DURING_BUILD", "0"))):
return
# Require git executable.
if shutil.which("git") is None:
return
# Require a .gitmodules file.
if not (current_file_path / ".gitmodules").exists():
return
try:
submodules = subprocess.check_output(
["git", "submodule", "status", "--recursive"],
cwd=str(current_file_path),
text=True,
).splitlines()
for submodule in submodules:
# '-' start is for an uninitialized submodule.
# ' ' start is for a submodule on the correct commit.
assert submodule[0] in (
" ",
"-",
), (
"Submodules are initialized incorrectly. If this is intended, set the "
"environment variable `NVTE_SKIP_SUBMODULE_CHECKS_DURING_BUILD` to a "
"non-zero value to skip these checks during development. Otherwise, "
"run `git submodule update --init --recursive` to checkout the correct"
" submodule commits."
)
subprocess.check_call(
["git", "submodule", "update", "--init", "--recursive"],
cwd=str(current_file_path),
)
except subprocess.CalledProcessError:
return
if __name__ == "__main__":
__version__ = te_version()
git_check_submodules()
with open("README.rst", encoding="utf-8") as f:
long_description = f.read()
# Settings for building top level empty package for dependency management.
if bool(int(os.getenv("NVTE_BUILD_METAPACKAGE", "0"))):
assert bool(
int(os.getenv("NVTE_RELEASE_BUILD", "0"))
), "NVTE_RELEASE_BUILD env must be set for metapackage build."
ext_modules = []
package_data = {}
include_package_data = False
install_requires = []
extras_require = {
"core": [f"transformer_engine_cu12=={__version__}"],
"core_cu12": [f"transformer_engine_cu12=={__version__}"],
"core_cu13": [f"transformer_engine_cu13=={__version__}"],
"pytorch": [f"transformer_engine_torch=={__version__}"],
"jax": [f"transformer_engine_jax=={__version__}"],
}
else:
install_requires, test_requires = setup_requirements()
ext_modules = [setup_common_extension()]
package_data = {"": ["VERSION.txt"]}
include_package_data = True
extras_require = {"test": test_requires}
if not bool(int(os.getenv("NVTE_RELEASE_BUILD", "0"))):
if "pytorch" in frameworks:
from build_tools.pytorch import setup_pytorch_extension
ext_modules.append(
setup_pytorch_extension(
"transformer_engine/pytorch/csrc",
current_file_path / "transformer_engine" / "pytorch" / "csrc",
current_file_path / "transformer_engine",
)
)
if "jax" in frameworks:
from build_tools.jax import setup_jax_extension
ext_modules.append(
setup_jax_extension(
"transformer_engine/jax/csrc",
current_file_path / "transformer_engine" / "jax" / "csrc",
current_file_path / "transformer_engine",
)
)
# Configure package
setuptools.setup(
name="transformer_engine",
version=__version__,
packages=setuptools.find_packages(
include=[
"transformer_engine",
"transformer_engine.*",
"transformer_engine/build_tools",
],
),
extras_require=extras_require,
description="Transformer acceleration library",
long_description=long_description,
long_description_content_type="text/x-rst",
ext_modules=ext_modules,
cmdclass={"build_ext": CMakeBuildExtension, "bdist_wheel": TimedBdist},
python_requires=f">={min_python_version_str()}",
classifiers=["Programming Language :: Python :: 3"],
install_requires=install_requires,
license_files=("LICENSE",),
include_package_data=include_package_data,
package_data=package_data,
)