mirror of
https://github.com/facebookresearch/pytorch3d.git
synced 2025-08-01 03:12:49 +08:00
232e4a7e3d
Summary: Bump the nvidia driver used in the conda tests. Add an environment variable (unused) to allow building without ninja. Print relative error on assertClose failure. Reviewed By: nikhilaravi Differential Revision: D21227373 fbshipit-source-id: 5dd8eb097151da27d3632daa755a1e7b9ac97845
103 lines
3.1 KiB
Python
Executable File
103 lines
3.1 KiB
Python
Executable File
#!/usr/bin/env python
|
|
# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
|
|
|
|
import glob
|
|
import os
|
|
|
|
import torch
|
|
from setuptools import find_packages, setup
|
|
from torch.utils.cpp_extension import CUDA_HOME, CppExtension, CUDAExtension
|
|
|
|
|
|
def get_extensions():
|
|
this_dir = os.path.dirname(os.path.abspath(__file__))
|
|
extensions_dir = os.path.join(this_dir, "pytorch3d", "csrc")
|
|
|
|
main_source = os.path.join(extensions_dir, "ext.cpp")
|
|
sources = glob.glob(os.path.join(extensions_dir, "**", "*.cpp"))
|
|
source_cuda = glob.glob(os.path.join(extensions_dir, "**", "*.cu"))
|
|
|
|
sources = [main_source] + sources
|
|
|
|
extension = CppExtension
|
|
|
|
extra_compile_args = {"cxx": ["-std=c++14"]}
|
|
define_macros = []
|
|
|
|
force_cuda = os.getenv("FORCE_CUDA", "0") == "1"
|
|
if (torch.cuda.is_available() and CUDA_HOME is not None) or force_cuda:
|
|
extension = CUDAExtension
|
|
sources += source_cuda
|
|
define_macros += [("WITH_CUDA", None)]
|
|
nvcc_args = [
|
|
"-DCUDA_HAS_FP16=1",
|
|
"-D__CUDA_NO_HALF_OPERATORS__",
|
|
"-D__CUDA_NO_HALF_CONVERSIONS__",
|
|
"-D__CUDA_NO_HALF2_OPERATORS__",
|
|
]
|
|
nvcc_flags_env = os.getenv("NVCC_FLAGS", "")
|
|
if nvcc_flags_env != "":
|
|
nvcc_args.extend(nvcc_flags_env.split(" "))
|
|
|
|
# It's better if pytorch can do this by default ..
|
|
CC = os.environ.get("CC", None)
|
|
if CC is not None:
|
|
CC_arg = "-ccbin={}".format(CC)
|
|
if CC_arg not in nvcc_args:
|
|
if any(arg.startswith("-ccbin") for arg in nvcc_args):
|
|
raise ValueError("Inconsistent ccbins")
|
|
nvcc_args.append(CC_arg)
|
|
|
|
extra_compile_args["nvcc"] = nvcc_args
|
|
|
|
sources = [os.path.join(extensions_dir, s) for s in sources]
|
|
|
|
include_dirs = [extensions_dir]
|
|
|
|
ext_modules = [
|
|
extension(
|
|
"pytorch3d._C",
|
|
sources,
|
|
include_dirs=include_dirs,
|
|
define_macros=define_macros,
|
|
extra_compile_args=extra_compile_args,
|
|
)
|
|
]
|
|
|
|
return ext_modules
|
|
|
|
|
|
__version__ = ""
|
|
# Retrieve __version__ from the package.
|
|
with open("pytorch3d/__init__.py", "r") as init:
|
|
exec(init.read())
|
|
|
|
|
|
if os.getenv("PYTORCH3D_NO_NINJA", "0") == "1":
|
|
|
|
class BuildExtension(torch.utils.cpp_extension.BuildExtension):
|
|
def __init__(self, *args, **kwargs):
|
|
super().__init__(use_ninja=False, *args, **kwargs)
|
|
|
|
|
|
else:
|
|
BuildExtension = torch.utils.cpp_extension.BuildExtension
|
|
|
|
|
|
setup(
|
|
name="pytorch3d",
|
|
version=__version__,
|
|
author="FAIR",
|
|
url="https://github.com/facebookresearch/pytorch3d",
|
|
description="PyTorch3D is FAIR's library of reusable components "
|
|
"for deep Learning with 3D data.",
|
|
packages=find_packages(exclude=("configs", "tests")),
|
|
install_requires=["torchvision>=0.4", "fvcore"],
|
|
extras_require={
|
|
"all": ["matplotlib", "tqdm>4.29.0", "imageio", "ipywidgets"],
|
|
"dev": ["flake8", "isort", "black==19.3b0"],
|
|
},
|
|
ext_modules=get_extensions(),
|
|
cmdclass={"build_ext": BuildExtension},
|
|
)
|