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setup.py
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setup.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Note: To use the 'upload' functionality of this file, you must:
# $ pip install twine
import io
import os
import shutil
import sys
from pathlib import Path
from shutil import rmtree
from typing import List
import pccm
from pccm.extension import ExtCallback, PCCMBuild, PCCMExtension
from setuptools import Command, find_packages, setup
from setuptools.extension import Extension
from ccimport import compat
import subprocess
import re
# Package meta-data.
NAME = 'spconv'
RELEASE_NAME = NAME
deps = ["cumm"]
cuda_ver = os.environ.get("CUMM_CUDA_VERSION", "")
# is_ci_build = cuda_ver != ""
# if not cuda_ver:
# nvcc_version = subprocess.check_output(["nvcc", "--version"
# ]).decode("utf-8").strip()
# nvcc_version_str = nvcc_version.split("\n")[3]
# version_str: str = re.findall(r"release (\d+.\d+)",
# nvcc_version_str)[0]
# cuda_ver = version_str
if cuda_ver:
cuda_ver_str = cuda_ver.replace(".", "") # 10.2 to 102
RELEASE_NAME += "-cu{}".format(cuda_ver_str)
deps = ["cumm-cu{}>=0.4.5, <0.5.0".format(cuda_ver_str)]
else:
deps = ["cumm>=0.4.5, <0.5.0"]
DESCRIPTION = 'spatial sparse convolution'
URL = 'https://github.com/traveller59/spconv'
EMAIL = 'yanyan.sub@outlook.com'
AUTHOR = 'Yan Yan'
REQUIRES_PYTHON = '>=3.7'
VERSION = None
# What packages are required for this module to be executed?
REQUIRED = ["pccm>=0.4.0", "ccimport>=0.4.0", "pybind11>=2.6.0", "fire", "numpy", *deps]
# What packages are optional?
EXTRAS = {
# 'fancy feature': ['django'],
}
# The rest you shouldn't have to touch too much :)
# ------------------------------------------------
# Except, perhaps the License and Trove Classifiers!
# If you do change the License, remember to change the Trove Classifier for that!
here = os.path.abspath(os.path.dirname(__file__))
sys.path.append(str(Path(__file__).parent))
# Import the README and use it as the long-description.
# Note: this will only work if 'README.md' is present in your MANIFEST.in file!
try:
with io.open(os.path.join(here, 'README.md'), encoding='utf-8') as f:
long_description = '\n' + f.read()
except FileNotFoundError:
long_description = DESCRIPTION
# Load the package's __version__.py module as a dictionary.
about = {}
if not VERSION:
with open('version.txt', 'r') as f:
version = f.read().strip()
else:
version = VERSION
cwd = os.path.dirname(os.path.abspath(__file__))
def _convert_build_number(build_number):
parts = build_number.split(".")
if len(parts) == 2:
return "{}{:03d}".format(int(parts[0]), int(parts[1]))
elif len(parts) == 1:
return build_number
else:
raise NotImplementedError
env_suffix = os.environ.get("SPCONV_VERSION_SUFFIX", "")
if env_suffix != "":
version += ".dev{}".format(_convert_build_number(env_suffix))
version_path = os.path.join(cwd, NAME, '__version__.py')
about['__version__'] = version
with open(version_path, 'w') as f:
f.write("__version__ = '{}'\n".format(version))
class UploadCommand(Command):
"""Support setup.py upload."""
description = 'Build and publish the package.'
user_options = []
@staticmethod
def status(s):
"""Prints things in bold."""
print('\033[1m{0}\033[0m'.format(s))
def initialize_options(self):
pass
def finalize_options(self):
pass
def run(self):
try:
self.status('Removing previous builds...')
rmtree(os.path.join(here, 'dist'))
except OSError:
pass
self.status('Building Source and Wheel (universal) distribution...')
os.system('{0} setup.py sdist bdist_wheel --universal'.format(
sys.executable))
self.status('Uploading the package to PyPI via Twine...')
os.system('twine upload dist/*')
self.status('Pushing git tags...')
os.system('git tag v{0}'.format(about['__version__']))
os.system('git push --tags')
sys.exit()
disable_jit = os.getenv("SPCONV_DISABLE_JIT", None)
if disable_jit is not None and disable_jit == "1":
cmdclass = {
'upload': UploadCommand,
'build_ext': PCCMBuild,
}
from cumm.gemm.main import GemmMainUnitTest
from spconv.core import SHUFFLE_SIMT_PARAMS, SHUFFLE_VOLTA_PARAMS, SHUFFLE_TURING_PARAMS, SHUFFLE_AMPERE_PARAMS
from spconv.core import IMPLGEMM_SIMT_PARAMS, IMPLGEMM_VOLTA_PARAMS, IMPLGEMM_TURING_PARAMS, IMPLGEMM_AMPERE_PARAMS
from cumm.conv.main import ConvMainUnitTest
from cumm.constants import CUMM_CPU_ONLY_BUILD
from spconv.csrc.sparse.all import SpconvOps
from spconv.csrc.utils import BoxOps, PointCloudCompress
from spconv.csrc.hash.core import HashTable
from cumm.common import CompileInfo
from spconv.csrc.sparse.alloc import ExternalAllocator
from spconv.csrc.sparse.convops import GemmTunerSimple, ExternalSpconvMatmul
from spconv.csrc.sparse.convops import ConvTunerSimple, ConvGemmOps
from spconv.csrc.sparse.inference import InferenceOps
all_shuffle = SHUFFLE_SIMT_PARAMS + SHUFFLE_VOLTA_PARAMS + SHUFFLE_TURING_PARAMS + SHUFFLE_AMPERE_PARAMS
all_imp = (IMPLGEMM_SIMT_PARAMS + IMPLGEMM_VOLTA_PARAMS +
IMPLGEMM_TURING_PARAMS + IMPLGEMM_AMPERE_PARAMS)
# all_shuffle = list(filter(lambda x: not x.is_nvrtc, all_shuffle))
# all_imp = list(filter(lambda x: not x.is_nvrtc, all_imp))
cu = GemmMainUnitTest(all_shuffle)
convcu = ConvMainUnitTest(all_imp)
convcu.namespace = "cumm.conv.main"
cu.namespace = "cumm.gemm.main"
std = "c++17"
if cuda_ver:
cuda_ver_items = cuda_ver.split(".")
if len(cuda_ver_items) == 1:
cuda_ver_num = int(cuda_ver)
cuda_ver_tuple = (cuda_ver_num // 10, cuda_ver_num % 10)
else:
cuda_ver_vec = list(map(int, cuda_ver.split(".")))
cuda_ver_tuple = (cuda_ver_vec[0], cuda_ver_vec[1])
if cuda_ver_tuple[0] < 11:
std = "c++14"
else:
std = "c++17"
if not CUMM_CPU_ONLY_BUILD:
gemmtuner = GemmTunerSimple(cu)
gemmtuner.namespace = "csrc.sparse.convops.gemmops"
convtuner = ConvTunerSimple(convcu)
convtuner.namespace = "csrc.sparse.convops.convops"
convops = ConvGemmOps(gemmtuner, convtuner)
convops.namespace = "csrc.sparse.convops.spops"
else:
gemmtuner = GemmTunerSimple(None)
gemmtuner.namespace = "csrc.sparse.convops.gemmops"
convtuner = ConvTunerSimple(None)
convtuner.namespace = "csrc.sparse.convops.convops"
convops = ConvGemmOps(gemmtuner, convtuner)
convops.namespace = "csrc.sparse.convops.spops"
cus = [gemmtuner, convtuner,
convops, SpconvOps(), BoxOps(), HashTable(), CompileInfo(),
ExternalAllocator(), PointCloudCompress(),
ExternalSpconvMatmul(), InferenceOps()]
if not CUMM_CPU_ONLY_BUILD:
cus.extend([cu, convcu])
ext_modules: List[Extension] = [
PCCMExtension(cus,
"spconv/core_cc",
Path(__file__).resolve().parent / "spconv",
std=std,
disable_pch=True,
verbose=True)
]
else:
cmdclass = {
'upload': UploadCommand,
}
ext_modules = []
# Where the magic happens:
setup(
name=RELEASE_NAME,
version=about['__version__'],
description=DESCRIPTION,
long_description=long_description,
long_description_content_type='text/markdown',
author=AUTHOR,
author_email=EMAIL,
python_requires=REQUIRES_PYTHON,
url=URL,
packages=find_packages(exclude=('tests', )),
# If your package is a single module, use this instead of 'packages':
# py_modules=['mypackage'],
entry_points={
'console_scripts': [],
},
install_requires=REQUIRED,
extras_require=EXTRAS,
include_package_data=True,
license='Apache License 2.0',
classifiers=[
# Trove classifiers
# Full list: https://pypi.python.org/pypi?%3Aaction=list_classifiers
'License :: OSI Approved :: Apache Software License',
'Programming Language :: Python',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.7',
'Programming Language :: Python :: 3.8',
'Programming Language :: Python :: 3.9',
'Programming Language :: Python :: 3.10',
'Programming Language :: Python :: 3.11',
'Programming Language :: Python :: Implementation :: CPython',
],
# $ setup.py publish support.
cmdclass=cmdclass,
ext_modules=ext_modules,
)