nix-gl-host/nixglhost-wrapper.py

317 lines
11 KiB
Python
Executable File

#!/usr/bin/env python3
import argparse
import json
import os
import re
import shutil
import subprocess
import sys
from typing import List, Dict
IN_NIX_STORE = False
if IN_NIX_STORE:
# The following paths are meant to be substituted by Nix at build
# time.
PATCHELF_PATH = "@patchelf-bin@"
else:
PATCHELF_PATH = "patchelf"
# The following regexes list has been figured out by looking at the
# output of nix-build -A linuxPackages.nvidia_x11 before running
# ls ./result/lib | grep -E ".so$".
#
# TODO: find a more systematic way to figure out these names *not
# requiring to build/fetch the nvidia driver at runtime*.
NVIDIA_DSO_PATTERNS = [
"libEGL_nvidia\.so.*$",
"libGLESv1_CM_nvidia\.so.*$",
"libGLESv2_nvidia\.so.*$",
"libGLX_nvidia\.so.*$",
"libglxserver_nvidia\.so.*$",
"libnvcuvid\.so.*$",
"libnvidia-allocator\.so.*$",
"libnvidia-cfg\.so.*$",
"libnvidia-compiler\.so.*$",
"libnvidia-eglcore\.so.*$",
"libnvidia-egl-gbm\.so.*$",
"libnvidia-egl-wayland\.so.*$",
"libnvidia-encode\.so.*$",
"libnvidia-fbc\.so.*$",
"libnvidia-glcore\.so.*$",
"libnvidia-glsi\.so.*$",
"libnvidia-glvkspirv\.so.*$",
"libnvidia-ml\.so.*$",
"libnvidia-ngx\.so.*$",
"libnvidia-nvvm\.so.*$",
"libnvidia-opencl\.so.*$",
"libnvidia-opticalflow\.so.*$",
"libnvidia-ptxjitcompiler\.so.*$",
"libnvidia-rtcore\.so.*$",
"libnvidia-tls\.so.*$",
"libnvidia-vulkan-producer\.so.*$",
"libnvidia-wayland-client\.so.*$",
"libnvoptix\.so.*$",
# Host dependencies required by the nvidia DSOs to properly
# operate
# libdrm
"libdrm\.so.*$",
# libffi
"libffi\.so.*$",
# libgbm
"libgbm\.so.*$",
# Cannot find that one :(
"libnvtegrahv\.so.*$",
# libexpat
"libexpat\.so.*$",
# libxcb
"libxcb-glx\.so.*$",
# Coming from libx11
"libX11-xcb\.so.*$",
"libX11\.so.*$",
"libXext\.so.*$",
# libwayland
"libwayland-server\.so.*$",
"libwayland-client\.so.*$",
]
CUDA_DSO_PATTERNS = ["libcudadebugger\.so.*$", "libcuda\.so.*$"]
def find_files(path: str, files_patterns: List[str]):
"""Scans the PATH directory looking for the files complying with
the FILES_PATTERNS regexes list.
Returns the list of the DSOs absolute paths."""
files = []
def is_dso_matching_pattern(filename):
for pattern in files_patterns:
if re.search(pattern, filename):
return True
return False
for f in os.listdir(path):
abs_file_path = os.path.abspath(os.path.join(path, f))
if os.path.isfile(abs_file_path) and is_dso_matching_pattern(abs_file_path):
files.append(abs_file_path)
return files
def find_nvidia_dsos(path: str):
"""Scans the PATH directory looking for the Nvidia driver shared
libraries and their dependencies. A shared library is considered
as a Nvidia one if its name maches a pattern contained in
CUDA_DSO_PATTERNS.
Returns the list of the DSOs absolute paths."""
return find_files(path, NVIDIA_DSO_PATTERNS)
def find_cuda_dsos(path: str):
"""Scans the PATH directory looking for the cuda driver shared
libraries. A shared library is considered
as a cuda one if its name maches a pattern contained in
CUDA_DSO_PATTERNS.
Returns the list of the DSOs absolute paths."""
return find_files(path, CUDA_DSO_PATTERNS)
def copy_and_patch_libs(dsos: List[str], libs_dir: str, rpath=None):
"""Copies the graphic vendor DSOs to the cache directory before
patchelf-ing them.
The DSOs can dlopen each other. Sadly, we don't want any host
libraries to the LD_LIBRARY_PATH to prevent polluting the nix
binary env. The only option left is to patch their ELFs runpath to
point to RPATH.
We also don't want to directly modify the host DSOs, we first copy
them to the user's personal cache directory. We then alter their
runpath to point to the cache directory."""
rpath = rpath if (rpath is not None) else libs_dir
for dso in dsos:
basename = os.path.basename(dso)
newpath = os.path.join(libs_dir, basename)
log_info(f"Copying {basename} to {newpath}")
shutil.copyfile(dso, newpath)
shutil.copymode(dso, newpath)
patch_dso(newpath, rpath)
def log_info(string: str):
"""Prints STR to STDERR if the DEBUG environment variable is
set."""
if "DEBUG" in os.environ:
print(f"[+] {string}", file=sys.stderr)
def patch_dso(dsoPath: str, rpath: str):
"""Call patchelf to change the DSOPATH runpath with RPATH."""
log_info(f"Patching {dsoPath}")
log_info(f"Exec: {PATCHELF_PATH} --set-rpath {rpath} {dsoPath}")
res = subprocess.run([PATCHELF_PATH, "--set-rpath", rpath, dsoPath])
if res.returncode != 0:
raise BaseException(
f"Cannot patch {dsoPath}. Patchelf exited with {res.returncode}"
)
# NOTE: is this the right abstraction? Looks like I'm stitching
# some loosely connected parts together for no good reason.
def generate_nvidia_egl_config_files(cache_dir: str, libs_dir: str):
"""Generates a set of JSON files describing the EGL exec
envirnoment to libglvnd.
These configuration files will point to the EGL, wayland and GBM
Nvidia DSOs."""
def generate_egl_conf_json(dso):
return json.dumps(
{"file_format_version": "1.0.0", "ICD": {"library_path": dso}}
)
egl_conf_dir = os.path.join(cache_dir, "egl-confs")
os.makedirs(egl_conf_dir, exist_ok=True)
dso_paths = [
("10_nvidia.json", f"{libs_dir}/libEGL_nvidia.so.0"),
("10_nvidia_wayland.json", f"{libs_dir}/libnvidia-egl-wayland.so.1"),
("15_nvidia_gbm.json", f"{libs_dir}/libnvidia-egl-gbm.so.1"),
]
for (conf_file_name, dso_path) in dso_paths:
with open(
os.path.join(egl_conf_dir, conf_file_name), "w", encoding="utf-8"
) as f:
log_info(f"Writing {dso_path} conf to {egl_conf_dir}")
f.write(generate_egl_conf_json(dso_path))
return egl_conf_dir
def exec_binary(bin_path: str, args: List[str], cache_dir: str, libs_dir: str):
"""Replace the current python program with the program pointed by
BIN_PATH.
Sets the relevant libGLvnd env variables."""
log_info(f"Execv-ing {bin_path}")
log_info(f"Goodbye now.")
# The following two env variables are required by our patched libglvnd
# implementation to figure out what kind of driver the host
# machine is using.
os.execv(bin_path, [bin_path] + args)
def nvidia_main(cache_dir: str, gl_vendor_path: str):
"""Prepares the environment necessary to run a opengl/cuda program
on a Nvidia graphics card. It is by definition really stateful.
Roughly, we're going to:
1. Setup the nvidia cache directory.
2. Find the nvidia DSOs in the GL_VENDOR_PATH.
3. Copy these DSOs to their appropriate cache directories.
4. Generate the EGL configuration files.
5. Patchelf the runpath of what needs to be patched.
6. Generate the env variables the main process is supposed to set.
Overall, we're using two different tricks to setup the GL/cuda envs:
- For Cuda and GLX: we're isolating the main DSOs in their own
dirs, add these dirs to the LD_LIBRARY_PATH and patch their
runpath to point to the generic cache dir.
- For EGL: we're generating some JSON configuration files.
libglvnd will later use these configuration files to directly
load the appropriate DSOs. We don't need any
LD_LIBRARY_PATH-fueled trick.
Keep in mind we want to keep the host system out of the
LD_LIBRARY_PATH to make sure we won't inject any host DSOs (other
than the GL/Cuda ones OFC) to the nix-built program.
This function returns a dictionary containing the env variables
supposed to be added to the current process down the line."""
log_info("Nvidia routine begins")
cache_dir = os.path.join(cache_dir, "nvidia")
libs_dir = os.path.join(cache_dir, "lib")
cuda_dir = os.path.join(cache_dir, "cuda")
log_info(f"Nvidia libs dir: {libs_dir}")
log_info(f"Nvidia cuda dir: {libs_dir}")
os.makedirs(libs_dir, exist_ok=True)
os.makedirs(cuda_dir, exist_ok=True)
log_info(f"Searching for the Nvidia OpenGL DSOs in {gl_vendor_path}")
# Nvidia OpenGL DSOs
opengl_dsos = find_files(gl_vendor_path, NVIDIA_DSO_PATTERNS)
log_info(f"Found the following DSOs:")
[log_info(dso) for dso in opengl_dsos]
log_info("Patching the DSOs.")
copy_and_patch_libs(opengl_dsos, libs_dir)
log_info("Setting NVIDIA-specific env variables.")
# Nvidia Cuda DSOs
log_info(f"Searching for the Nvidia Cuda DSOs in {gl_vendor_path}")
cuda_dsos = find_files(gl_vendor_path, CUDA_DSO_PATTERNS)
log_info(f"Found the following DSOs:")
[log_info(dso) for dso in cuda_dsos]
log_info("Patching the DSOs.")
copy_and_patch_libs(cuda_dsos, cuda_dir, libs_dir)
log_info("Setting NVIDIA-specific env variables.")
# Preparing the env
new_env = {}
log_info(f"__GLX_VENDOR_LIBRARY_NAME = nvidia")
new_env["__GLX_VENDOR_LIBRARY_NAME"] = "nvidia"
egl_config_files = generate_nvidia_egl_config_files(cache_dir, libs_dir)
log_info(f"__EGL_VENDOR_LIBRARY_DIRS = {egl_config_files}")
new_env["__EGL_VENDOR_LIBRARY_DIRS"] = egl_config_files
ld_library_path = os.environ.get("LD_LIBRARY_PATH", None)
ld_library_path = (
cuda_dir if ld_library_path is None else f"{cuda_dir}:{ld_library_path}"
)
log_info(f"LD_LIBRARY_PATH = {ld_library_path}")
new_env["LD_LIBRARY_PATH"] = ld_library_path
return new_env
def main(args):
home = os.path.expanduser("~")
xdg_cache_home = os.environ.get("XDG_CACHE_HOME", os.path.join(home, ".cache"))
cache_dir = os.path.join(xdg_cache_home, "nix-gl-host")
log_info(f'Using "{cache_dir}" as cache dir.')
os.makedirs(cache_dir, exist_ok=True)
log_info(f'Scanning "{args.GL_VENDOR_PATH}" for DSOs.')
dsos = find_nvidia_dsos(args.GL_VENDOR_PATH)
new_env = nvidia_main(cache_dir, args.GL_VENDOR_PATH)
os.environ.update(new_env)
exec_binary(args.NIX_BINARY, args.ARGS, cache_dir, libs_dir)
return 0
if __name__ == "__main__":
parser = argparse.ArgumentParser(
prog="nixglhost-wrapper",
description="Wrapper used to massage the host GL drivers to work with your nix-built binary.",
)
parser.add_argument(
"GL_VENDOR_PATH",
type=str,
help="a path pointing to the directory containing your GL driver shared libraries",
)
parser.add_argument(
"NIX_BINARY",
type=str,
help="Nix-built binary you'd like to wrap.",
)
parser.add_argument(
"ARGS",
type=str,
nargs="*",
help="The args passed to the wrapped binary.",
)
args = parser.parse_args()
ret = main(args)
sys.exit(ret)