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setup.py
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# Debug command:
# DEBUG=1 python setup.py build_ext --inplace --force
# CUDA_VISIBLE_DEVICES=None LD_PRELOAD=$(gcc -print-file-name=libasan.so) python3.12 -m pufferlib.clean_pufferl eval --train.device cpu
from setuptools import find_packages, find_namespace_packages, setup, Extension
import numpy
import os
import glob
import urllib.request
import zipfile
import tarfile
import platform
import shutil
import sys
from setuptools.command.build_ext import build_ext
from torch.utils import cpp_extension
from torch.utils.cpp_extension import (
CppExtension,
CUDAExtension,
)
# Build with DEBUG=1 to enable debug symbols
DEBUG = os.getenv("DEBUG", "0") == "1"
NO_OCEAN = os.getenv("NO_OCEAN", "0") == "1"
NO_TRAIN = os.getenv("NO_TRAIN", "0") == "1"
# Build raylib for your platform
RAYLIB_URL = "https://github.com/raysan5/raylib/releases/download/5.5/"
RAYLIB_NAME = "raylib-5.5_macos" if platform.system() == "Darwin" else "raylib-5.5_linux_amd64"
RLIGHTS_URL = "https://raw.githubusercontent.com/raysan5/raylib/refs/heads/master/examples/shaders/rlights.h"
# Fetch inih library
INIH_URL = "https://github.com/benhoyt/inih/archive/refs/tags/{tag}.{ext}"
def download_raylib(platform, ext):
if not os.path.exists(platform):
print(f"Downloading Raylib {platform}")
urllib.request.urlretrieve(RAYLIB_URL + platform + ext, platform + ext)
if ext == ".zip":
with zipfile.ZipFile(platform + ext, "r") as zip_ref:
zip_ref.extractall()
else:
with tarfile.open(platform + ext, "r") as tar_ref:
if sys.version_info >= (3, 12): # Use secure call when python version >= 3.12
tar_ref.extractall(filter="data")
else:
tar_ref.extractall()
os.remove(platform + ext)
urllib.request.urlretrieve(RLIGHTS_URL, platform + "/include/rlights.h")
def download_library(url: str, name: str, tag: str, ext: str = "tar.gz", files_to_extract: list = None):
library_folder = name + "-" + tag
archive_file = library_folder + "." + ext
if not os.path.exists(library_folder):
filled_url = url.format(tag=tag, ext=ext)
print(f"Downloading {name}-{tag}")
urllib.request.urlretrieve(filled_url, archive_file)
if ext == "zip":
with zipfile.ZipFile(archive_file, "r") as zip_ref:
if files_to_extract:
members = [
member_info.filename
for member_info in zip_ref.infolist()
if os.path.basename(member_info.filename) in files_to_extract
]
zip_ref.extractall(members=members)
else:
zip_ref.extractall()
else:
with tarfile.open(archive_file, "r") as tar_ref:
kwargs = {}
if sys.version_info >= (3, 12):
kwargs["filter"] = "data"
if files_to_extract:
kwargs["members"] = [
member for member in tar_ref.getmembers() if os.path.basename(member.name) in files_to_extract
]
tar_ref.extractall(**kwargs)
os.remove(archive_file)
if not NO_OCEAN:
download_library(INIH_URL, "inih", "r62", files_to_extract=["ini.c", "ini.h"])
download_raylib("raylib-5.5_webassembly", ".zip")
BOX2D_URL = "https://github.com/capnspacehook/box2d/releases/latest/download/"
BOX2D_NAME = "box2d-macos-arm64" if platform.system() == "Darwin" else "box2d-linux-amd64"
def download_box2d(platform):
if not os.path.exists(platform):
ext = ".tar.gz"
print(f"Downloading Box2D {platform}")
urllib.request.urlretrieve(BOX2D_URL + platform + ext, platform + ext)
with tarfile.open(platform + ext, "r") as tar_ref:
if sys.version_info >= (3, 12):
tar_ref.extractall(filter="data")
else:
tar_ref.extractall()
os.remove(platform + ext)
if not NO_OCEAN:
download_box2d("box2d-web")
# Shared compile args for all platforms
extra_compile_args = [
"-DNPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION",
"-DPLATFORM_DESKTOP",
]
extra_link_args = ["-fwrapv"]
cxx_args = [
"-fdiagnostics-color=always",
]
nvcc_args = []
if DEBUG:
extra_compile_args += [
"-O0",
"-g",
"-fsanitize=address,undefined,bounds,pointer-overflow,leak",
"-fno-omit-frame-pointer",
]
extra_link_args += [
"-g",
"-fsanitize=address,undefined,bounds,pointer-overflow,leak",
]
cxx_args += [
"-O0",
"-g",
]
nvcc_args += [
"-O0",
"-g",
]
else:
extra_compile_args += [
"-O2",
"-flto",
]
extra_link_args += [
"-O2",
]
cxx_args += [
"-O3",
]
nvcc_args += [
"-O3",
]
system = platform.system()
if system == "Linux":
extra_compile_args += [
"-Wno-alloc-size-larger-than",
"-Wno-implicit-function-declaration",
"-fmax-errors=3",
]
extra_link_args += [
"-Bsymbolic-functions",
]
if not NO_OCEAN:
download_raylib("raylib-5.5_linux_amd64", ".tar.gz")
elif system == "Darwin":
extra_compile_args += [
"-Wno-error=int-conversion",
"-Wno-error=incompatible-function-pointer-types",
"-Wno-error=implicit-function-declaration",
]
extra_link_args += [
"-framework",
"Cocoa",
"-framework",
"OpenGL",
"-framework",
"IOKit",
]
if not NO_OCEAN:
download_raylib("raylib-5.5_macos", ".tar.gz")
else:
raise ValueError(f"Unsupported system: {system}")
if not NO_OCEAN:
download_box2d(BOX2D_NAME)
# Default Gym/Gymnasium/PettingZoo versions
# Gym:
# - 0.26 still has deprecation warnings and is the last version of the package
# - 0.25 adds a breaking API change to reset, step, and render_modes
# - 0.24 is broken
# - 0.22-0.23 triggers deprecation warnings by calling its own functions
# - 0.21 is the most stable version
# - <= 0.20 is missing dict methods for gym.spaces.Dict
# - 0.18-0.21 require setuptools<=65.5.0
# Extensions
class BuildExt(build_ext):
def run(self):
# Propagate any build_ext options (e.g., --inplace, --force) to subcommands
build_ext_opts = self.distribution.command_options.get("build_ext", {})
if build_ext_opts:
# Copy flags so build_torch and build_c respect inplace/force
self.distribution.command_options["build_torch"] = build_ext_opts.copy()
self.distribution.command_options["build_c"] = build_ext_opts.copy()
# Run the torch and C builds (which will handle copying when inplace is set)
self.run_command("build_torch")
self.run_command("build_c")
class CBuildExt(build_ext):
def run(self, *args, **kwargs):
self.extensions = [e for e in self.extensions if e.name != "pufferlib._C"]
super().run(*args, **kwargs)
class TorchBuildExt(cpp_extension.BuildExtension):
def run(self):
self.extensions = [e for e in self.extensions if e.name == "pufferlib._C"]
super().run()
RAYLIB_A = f"{RAYLIB_NAME}/lib/libraylib.a"
INCLUDE = [numpy.get_include(), "raylib/include", f"{BOX2D_NAME}/include", f"{BOX2D_NAME}/src"]
extension_kwargs = dict(
include_dirs=INCLUDE,
extra_compile_args=extra_compile_args,
extra_link_args=extra_link_args,
extra_objects=[RAYLIB_A],
)
# Find C extensions
c_extensions = []
if not NO_OCEAN:
c_extension_paths = glob.glob("pufferlib/ocean/**/binding.c", recursive=True)
c_extensions = [
Extension(
path.rstrip(".c").replace("/", "."),
sources=[path],
**extension_kwargs,
)
for path in c_extension_paths
if "matsci" not in path
]
c_extension_paths = [os.path.join(*path.split("/")[:-1]) for path in c_extension_paths]
for c_ext in c_extensions:
if "drive" in c_ext.name:
c_ext.sources.append("inih-r62/ini.c")
c_ext.extra_compile_args.extend(
[
'-DINI_START_COMMENT_PREFIXES="#"',
'-DINI_INLINE_COMMENT_PREFIXES="#"',
]
)
if "impulse_wars" in c_ext.name:
print(f"Adding {c_ext.name} to extra objects")
c_ext.extra_objects.append(f"{BOX2D_NAME}/libbox2d.a")
if "matsci" in c_ext.name:
c_ext.include_dirs.append("/usr/local/include")
c_ext.extra_link_args.extend(["-L/usr/local/lib", "-llammps"])
# Check if CUDA compiler is available. You need cuda dev, not just runtime.
torch_extensions = []
if not NO_TRAIN:
torch_sources = [
"pufferlib/extensions/pufferlib.cpp",
]
if shutil.which("nvcc"):
extension = CUDAExtension
torch_sources.append("pufferlib/extensions/cuda/pufferlib.cu")
else:
extension = CppExtension
torch_extensions = [
extension(
"pufferlib._C",
torch_sources,
extra_compile_args={
"cxx": cxx_args,
"nvcc": nvcc_args,
},
),
]
# Prevent Conda from injecting garbage compile flags
from distutils.sysconfig import get_config_vars
cfg_vars = get_config_vars()
for key in ("CC", "CXX", "LDSHARED"):
if cfg_vars[key]:
cfg_vars[key] = cfg_vars[key].replace("-B /root/anaconda3/compiler_compat", "")
cfg_vars[key] = cfg_vars[key].replace("-pthread", "")
cfg_vars[key] = cfg_vars[key].replace("-fno-strict-overflow", "")
for key, value in cfg_vars.items():
if value and "-fno-strict-overflow" in str(value):
cfg_vars[key] = value.replace("-fno-strict-overflow", "")
install_requires = [
"setuptools",
"numpy<2.0",
"shimmy[gym-v21]",
"gym==0.23",
"gymnasium==0.29.1",
"pettingzoo==1.24.1",
]
if not NO_TRAIN:
install_requires += [
"torch",
"psutil",
"nvidia-ml-py",
"rich",
"rich_argparse",
"imageio",
"pyro-ppl",
"heavyball",
"neptune",
"wandb",
]
setup(
version="3.0.0",
packages=find_namespace_packages() + find_packages() + c_extension_paths + ["pufferlib/extensions"],
package_data={"pufferlib": [RAYLIB_NAME + "/lib/libraylib.a"]},
include_package_data=True,
install_requires=install_requires,
ext_modules=c_extensions + torch_extensions,
cmdclass={
"build_ext": BuildExt,
"build_torch": TorchBuildExt,
"build_c": CBuildExt,
},
include_dirs=[numpy.get_include(), RAYLIB_NAME + "/include"],
)