Merge pull request #492 from DenisKochetov/installation-update

updated installation to cuda 12.8
This commit is contained in:
Mr. For Example
2025-06-11 14:28:19 +01:00
committed by GitHub
7 changed files with 149 additions and 16 deletions
@@ -13,6 +13,7 @@ from build_utils import (
calculate_runtime,
git_folder_parallel,
install_remote_packages,
install_platform_packages,
build_config,
PYTHON_PATH,
DEPENDENCIES_FILE_ABS_PATH,
@@ -49,6 +50,7 @@ def setup_build_env():
subprocess.run([PYTHON_PATH, "-s", "-m", "pip", "install", "-r", BUILD_REQUIREMENTS_FILE_ABS_PATH])
install_remote_packages(build_config.build_base_packages)
install_platform_packages()
def clone_or_update_read_dependency(dependency_url, dependency_dir):
if os.path.exists(dependency_dir):
+15 -7
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@@ -1,6 +1,6 @@
repo_id: "MrForExample/Comfy3D_Pre_Builds"
supported_cuda_versions: ["12.4", "12.1", "11.8"]
cuda_version: "12.4"
repo_id: "DenisKochetov/Comfy3D_Pre_Builds"
supported_cuda_versions: ["12.8", "12.6", "12.4", "12.1", "11.8"]
cuda_version: "12.8"
# Packages inside this file will be pip downloaded before actual build start
build_requirements: "build_requirements.txt"
@@ -13,19 +13,27 @@ libs_dir_name: "_Libs"
# Folder used to store built wheels
wheels_dir_name: "_Build_Wheels"
build_base_packages: ["torch", "torchvision", "xformers", "spconv-${cuda_version}"]
build_base_packages: ["torch", "torchvision", "xformers"]
# Platform-specific packages
platform_packages:
win:
- "triton-windows<3.4"
linux:
- "triton"
# All packages will be automatically installed at beginning of install.py follwing orders from top to bottom
remote_packages:
torch:
version: "2.5.1"
version: "2.7.0"
url: "https://download.pytorch.org/whl/${cuda_version}"
torchvision:
version: "0.20.1"
version: "0.22.0"
url: "https://download.pytorch.org/whl/${cuda_version}"
xformers:
version: "0.0.28.post3"
version: "0.0.30"
url: "https://download.pytorch.org/whl/${cuda_version}"
# At the time of writing, torch-scatter is not available for PyTorch 2.5.0
@@ -1,6 +1,7 @@
# build tools
cmake
ninja
pccm
# web tools
PyGithub
+111 -8
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@@ -4,6 +4,7 @@ from os.path import dirname
import platform
import subprocess
import time
import glob
PYTHON_PATH = sys.executable
@@ -40,13 +41,22 @@ def get_pytorch_version():
def get_cuda_version():
# Output: e.g. "cu121" or cu118
result = subprocess.run(["nvcc", "--version"], text=True, capture_output=True)
if result.returncode == 0:
for cuda_version in build_config.supported_cuda_versions:
if "cuda_" + cuda_version in result.stdout:
return "cu" + cuda_version.replace(".", "")
try:
result = subprocess.run(["nvcc", "--version"], text=True, capture_output=True)
if result.returncode == 0:
for cuda_version in build_config.supported_cuda_versions:
if "cuda_" + cuda_version in result.stdout:
return "cu" + cuda_version.replace(".", "")
raise RuntimeError(f"Please install/reinstall CUDA tookit with any of the following supported version: {build_config.supported_cuda_versions}")
# If nvcc command succeeded but no supported CUDA version found, use default
print(f"Warning: No supported CUDA version detected, using default version: {build_config.cuda_version}")
return "cu" + build_config.cuda_version.replace(".", "")
except Exception as e:
# If nvcc command failed or any other error occurred, CUDA is not installed
print("CUDA toolkit not found. Please install CUDA 12.8:")
print("https://developer.nvidia.com/cuda-12-8-0-download-archive")
sys.exit(1)
OS_TYPE = get_os_type()
PYTHON_VERSION = get_python_version()
@@ -138,12 +148,76 @@ def git_folder_parallel(repo_id: str, folder: str, recursive: bool=True, root_ou
print(f"Couldn't download folder {folder} from repo {repo_id}", e)
return False
def is_package_installed(package_name, required_version=None):
"""Check if a package is installed with the required version"""
try:
import importlib.metadata
installed_version = importlib.metadata.version(package_name)
if required_version is None:
return True
# Handle versions with suffixes like "2.7.1+cu128"
installed_base_version = installed_version.split('+')[0]
required_base_version = required_version.split('+')[0]
# For PyTorch-related packages, we're more flexible with patch versions
if package_name in ['torch', 'torchvision', 'xformers']:
# Parse version components
try:
installed_parts = [int(x) for x in installed_base_version.split('.')]
required_parts = [int(x) for x in required_base_version.split('.')]
print(f"[DEBUG] {package_name}: version parts - installed={installed_parts}, required={required_parts}")
# Pad with zeros if needed (e.g., "2.7" vs "2.7.0")
max_len = max(len(installed_parts), len(required_parts))
installed_parts.extend([0] * (max_len - len(installed_parts)))
required_parts.extend([0] * (max_len - len(required_parts)))
print(f"[DEBUG] {package_name}: padded parts - installed={installed_parts}, required={required_parts}")
# Check major.minor compatibility, allow newer patch versions
if len(installed_parts) >= 2 and len(required_parts) >= 2:
# Major and minor versions must match
major_minor_match = (installed_parts[0] == required_parts[0] and
installed_parts[1] == required_parts[1])
if major_minor_match:
# Patch version can be equal or higher
if len(installed_parts) >= 3 and len(required_parts) >= 3:
patch_ok = installed_parts[2] >= required_parts[2]
return patch_ok
return True
return False
except ValueError as e:
# If version parsing fails, fall back to exact match
exact_match = installed_base_version == required_base_version
return exact_match
else:
# For other packages, require exact version match
exact_match = installed_base_version == required_base_version
return exact_match
except (importlib.metadata.PackageNotFoundError, Exception) as e:
return False
def install_remote_packages(package_names):
for package_name in package_names:
original_package_name = package_name
required_version = None
if package_name in build_config.remote_packages:
package_attr = build_config.remote_packages[package_name]
if hasattr(package_attr, "version"):
package_name += f"=={package_attr.version}"
required_version = package_attr.version
package_name += f"=={required_version}"
# Check if package is already installed with the correct version
if is_package_installed(original_package_name, required_version):
print(f"Package {original_package_name} (version {required_version or 'any'}) is already installed, skipping...")
continue
print(f"Installing {original_package_name} version {required_version or 'latest'}...")
if hasattr(package_attr, "url"):
url_option = package_attr.url_option if hasattr(package_attr, "url_option") else "--index-url"
@@ -152,5 +226,34 @@ def install_remote_packages(package_names):
package_name, url_option, package_attr.url
])
continue
else:
# Check if package is already installed
if is_package_installed(original_package_name):
print(f"Package {original_package_name} is already installed, skipping...")
continue
print(f"Installing {original_package_name}...")
subprocess.run([PYTHON_PATH, "-s", "-m", "pip", "install", package_name])
subprocess.run([PYTHON_PATH, "-s", "-m", "pip", "install", package_name])
def install_platform_packages():
if hasattr(build_config, 'platform_packages') and OS_TYPE in build_config.platform_packages:
packages = build_config.platform_packages[OS_TYPE]
for package in packages:
# Extract package name (without version constraints)
package_name = package.split('==')[0].split('>=')[0].split('<=')[0].split('<')[0].split('>')[0]
if is_package_installed(package_name):
print(f"Platform package {package_name} is already installed, skipping...")
continue
print(f"Installing platform package {package}...")
subprocess.run([PYTHON_PATH, "-s", "-m", "pip", "install", package])
def wheels_dir_exists_and_not_empty(builds_dir):
if not os.path.exists(builds_dir):
return False
# Check if directory has any .whl files
wheel_files = glob.glob(os.path.join(builds_dir, "**/*.whl"), recursive=True)
return len(wheel_files) > 0
@@ -1,3 +1,4 @@
https://github.com/traveller59/spconv.git
https://github.com/ashawkey/diff-gaussian-rasterization.git
https://github.com/NVlabs/nvdiffrast.git
https://github.com/ashawkey/kiuikit.git
+14 -1
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@@ -20,6 +20,8 @@ try:
get_platform_config_name,
git_folder_parallel,
install_remote_packages,
install_platform_packages,
wheels_dir_exists_and_not_empty,
build_config,
PYTHON_PATH,
WHEELS_ROOT_ABS_PATH,
@@ -27,6 +29,12 @@ try:
)
from shared_utils.log_utils import cstr
# Ensure PyGithub is installed for downloading wheels
try:
import github
except ImportError:
subprocess.run([sys.executable, "-m", "pip", "install", "PyGithub"])
def try_auto_build_all(builds_dir):
cstr(f"Try building all required packages...").msg.print()
result = subprocess.run(
@@ -48,6 +56,7 @@ try:
# Install packages that needs specify remote url
install_remote_packages(build_config.build_base_packages)
install_platform_packages()
# Get the target remote pre-built wheels directory name and path
platform_config_name = get_platform_config_name()
@@ -56,8 +65,12 @@ try:
builds_dir = os.path.join(WHEELS_ROOT_ABS_PATH, platform_config_name)
build_succeed = False
# Check if wheels already exist locally
if wheels_dir_exists_and_not_empty(builds_dir):
cstr(f"Found existing wheels in {builds_dir}").msg.print()
build_succeed = True
# Download pre-build wheels if exist
if git_folder_parallel(build_config.repo_id, remote_builds_dir_name, recursive=True, root_outdir=builds_dir):
elif git_folder_parallel(build_config.repo_id, remote_builds_dir_name, recursive=True, root_outdir=builds_dir):
build_succeed = True
# Build the wheels if couldn't find pre-build wheels
elif try_auto_build_all(builds_dir):
+5
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@@ -1,6 +1,7 @@
# build tools
cmake
ninja
pccm
# web tools
PyGithub
@@ -15,13 +16,17 @@ opencv-python
pillow
nerfacc>=0.5.3
slangtorch
cumm==0.7.11 # for spconv
git+https://github.com/EasternJournalist/utils3d.git#egg=utils3d
git+https://github.com/ashawkey/kiuikit.git#egg=kiuikit
# for use ML models
diffusers>=0.26.1
transformers>=4.36.2
safetensors
open_clip_torch
mmgp
# for training differentiable tensors
torchmetrics