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installer.py
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installer.py
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from functools import lru_cache
import os
import sys
import json
import time
import shutil
import logging
import platform
import subprocess
import cProfile
try:
import pkg_resources # python 3.12 no longer has it built-in
except ImportError:
stdout = subprocess.run(f'"{sys.executable}" -m pip install setuptools', shell=True, check=False, env=os.environ, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
import pkg_resources
class Dot(dict): # dot notation access to dictionary attributes
__getattr__ = dict.get
__setattr__ = dict.__setitem__
__delattr__ = dict.__delitem__
version = None
current_branch = None
log = logging.getLogger("sd")
console = None
debug = log.debug if os.environ.get('SD_INSTALL_DEBUG', None) is not None else lambda *args, **kwargs: None
pip_log = '--log pip.log ' if os.environ.get('SD_PIP_DEBUG', None) is not None else ''
log_file = os.path.join(os.path.dirname(__file__), 'sdnext.log')
log_rolled = False
first_call = True
quick_allowed = True
errors = 0
opts = {}
args = Dot({
'debug': False,
'reset': False,
'profile': False,
'upgrade': False,
'skip_extensions': False,
'skip_requirements': False,
'skip_git': False,
'skip_torch': False,
'use_directml': False,
'use_ipex': False,
'use_cuda': False,
'use_rocm': False,
'experimental': False,
'test': False,
'tls_selfsign': False,
'reinstall': False,
'version': False,
'ignore': False,
'uv': False,
})
git_commit = "unknown"
diffusers_commit = "unknown"
submodules_commit = {
'sd-webui-controlnet': 'ecd33eb',
# 'stable-diffusion-webui-images-browser': '27fe4a7',
}
# setup console and file logging
def setup_logging():
class RingBuffer(logging.StreamHandler):
def __init__(self, capacity):
super().__init__()
self.capacity = capacity
self.buffer = []
self.formatter = logging.Formatter('{ "asctime":"%(asctime)s", "created":%(created)f, "facility":"%(name)s", "pid":%(process)d, "tid":%(thread)d, "level":"%(levelname)s", "module":"%(module)s", "func":"%(funcName)s", "msg":"%(message)s" }')
def emit(self, record):
if record.msg is not None and not isinstance(record.msg, str):
record.msg = str(record.msg)
try:
record.msg = record.msg.replace('"', "'")
except Exception:
pass
msg = self.format(record)
# self.buffer.append(json.loads(msg))
self.buffer.append(msg)
if len(self.buffer) > self.capacity:
self.buffer.pop(0)
def get(self):
return self.buffer
install('rich', 'rich', quiet=True)
install('setuptools==69.5.1', 'setuptools', quiet=True)
install('psutil', 'psutil', quiet=True)
install('requests', 'requests', quiet=True)
from functools import partial, partialmethod
from logging.handlers import RotatingFileHandler
from rich.theme import Theme
from rich.logging import RichHandler
from rich.console import Console
from rich.pretty import install as pretty_install
from rich.traceback import install as traceback_install
if args.log:
global log_file # pylint: disable=global-statement
log_file = args.log
logging.TRACE = 25
logging.addLevelName(logging.TRACE, 'TRACE')
logging.Logger.trace = partialmethod(logging.Logger.log, logging.TRACE)
logging.trace = partial(logging.log, logging.TRACE)
level = logging.DEBUG if args.debug else logging.INFO
log.setLevel(logging.DEBUG) # log to file is always at level debug for facility `sd`
global console # pylint: disable=global-statement
console = Console(log_time=True, log_time_format='%H:%M:%S-%f', theme=Theme({
"traceback.border": "black",
"traceback.border.syntax_error": "black",
"inspect.value.border": "black",
}))
logging.basicConfig(level=logging.ERROR, format='%(asctime)s | %(name)s | %(levelname)s | %(module)s | %(message)s', handlers=[logging.NullHandler()]) # redirect default logger to null
pretty_install(console=console)
traceback_install(console=console, extra_lines=1, max_frames=10, width=console.width, word_wrap=False, indent_guides=False, suppress=[])
while log.hasHandlers() and len(log.handlers) > 0:
log.removeHandler(log.handlers[0])
# handlers
rh = RichHandler(show_time=True, omit_repeated_times=False, show_level=True, show_path=False, markup=False, rich_tracebacks=True, log_time_format='%H:%M:%S-%f', level=level, console=console)
rh.setLevel(level)
log.addHandler(rh)
fh = RotatingFileHandler(log_file, maxBytes=32*1024*1024, backupCount=9, encoding='utf-8', delay=True) # 10MB default for log rotation
global log_rolled # pylint: disable=global-statement
if not log_rolled and args.debug and not args.log:
fh.doRollover()
log_rolled = True
fh.formatter = logging.Formatter('%(asctime)s | %(name)s | %(levelname)s | %(module)s | %(message)s')
fh.setLevel(logging.DEBUG)
log.addHandler(fh)
rb = RingBuffer(100) # 100 entries default in log ring buffer
rb.setLevel(level)
log.addHandler(rb)
log.buffer = rb.buffer
# overrides
logging.getLogger("urllib3").setLevel(logging.ERROR)
logging.getLogger("httpx").setLevel(logging.ERROR)
logging.getLogger("diffusers").setLevel(logging.ERROR)
logging.getLogger("torch").setLevel(logging.ERROR)
logging.getLogger("ControlNet").handlers = log.handlers
logging.getLogger("lycoris").handlers = log.handlers
# logging.getLogger("DeepSpeed").handlers = log.handlers
def get_logfile():
log_size = os.path.getsize(log_file) if os.path.exists(log_file) else 0
log.info(f'Logger: file="{log_file}" level={logging.getLevelName(logging.DEBUG if args.debug else logging.INFO)} size={log_size} mode={"append" if not log_rolled else "create"}')
return log_file
def custom_excepthook(exc_type, exc_value, exc_traceback):
import traceback
if issubclass(exc_type, KeyboardInterrupt):
sys.__excepthook__(exc_type, exc_value, exc_traceback)
return
log.error(f"Uncaught exception occurred: type={exc_type} value={exc_value}")
if exc_traceback:
format_exception = traceback.format_tb(exc_traceback)
for line in format_exception:
log.error(repr(line))
def print_dict(d):
return ' '.join([f'{k}={v}' for k, v in d.items()])
def print_profile(profiler: cProfile.Profile, msg: str):
from modules.errors import profile
profile(profiler, msg)
# check if package is installed
@lru_cache()
def installed(package, friendly: str = None, reload = False, quiet = False):
ok = True
try:
if reload:
try:
import imp # pylint: disable=deprecated-module
imp.reload(pkg_resources)
except Exception:
pass
if friendly:
pkgs = friendly.split()
else:
pkgs = [p for p in package.split() if not p.startswith('-') and not p.startswith('=')]
pkgs = [p.split('/')[-1] for p in pkgs] # get only package name if installing from url
for pkg in pkgs:
if '>=' in pkg:
p = pkg.split('>=')
else:
p = pkg.split('==')
spec = pkg_resources.working_set.by_key.get(p[0], None) # more reliable than importlib
if spec is None:
spec = pkg_resources.working_set.by_key.get(p[0].lower(), None) # check name variations
if spec is None:
spec = pkg_resources.working_set.by_key.get(p[0].replace('_', '-'), None) # check name variations
ok = ok and spec is not None
if ok:
package_version = pkg_resources.get_distribution(p[0]).version
# log.debug(f"Package version found: {p[0]} {package_version}")
if len(p) > 1:
exact = package_version == p[1]
if not exact and not quiet:
if args.experimental:
log.warning(f"Package allowing experimental: {p[0]} {package_version} required {p[1]}")
else:
log.warning(f"Package version mismatch: {p[0]} {package_version} required {p[1]}")
ok = ok and (exact or args.experimental)
else:
if not quiet:
log.debug(f"Package not found: {p[0]}")
return ok
except Exception as e:
log.debug(f"Package error: {pkgs} {e}")
return False
def uninstall(package, quiet = False):
packages = package if isinstance(package, list) else [package]
res = ''
for p in packages:
if installed(p, p, quiet=True):
if not quiet:
log.warning(f'Uninstalling: {p}')
res += pip(f"uninstall {p} --yes --quiet", ignore=True, quiet=True)
return res
@lru_cache()
def pip(arg: str, ignore: bool = False, quiet: bool = False, uv = True):
originalArg = arg
uv = uv and args.uv
pipCmd = "uv pip" if uv else "pip"
arg = arg.replace('>=', '==')
if not quiet and '-r ' not in arg:
log.info(f'Install: package="{arg.replace("install", "").replace("--upgrade", "").replace("--no-deps", "").replace("--force", "").replace(" ", " ").strip()}" mode={"uv" if uv else "pip"}')
env_args = os.environ.get("PIP_EXTRA_ARGS", "")
all_args = f'{pip_log}{arg} {env_args}'.strip()
log.debug(f'Running: {pipCmd}="{all_args}"')
result = subprocess.run(f'"{sys.executable}" -m {pipCmd} {all_args}', shell=True, check=False, env=os.environ, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
txt = result.stdout.decode(encoding="utf8", errors="ignore")
if len(result.stderr) > 0:
if uv and result.returncode != 0:
log.warning('Cannot install with uv, fallback to pip')
return pip(originalArg, ignore, quiet, uv=False)
else:
txt += ('\n' if len(txt) > 0 else '') + result.stderr.decode(encoding="utf8", errors="ignore")
txt = txt.strip()
debug(f'Install {pipCmd}: {txt}')
if result.returncode != 0 and not ignore:
global errors # pylint: disable=global-statement
errors += 1
log.error(f'Error running {pipCmd}: {arg}')
log.debug(f'Pip output: {txt}')
return txt
# install package using pip if not already installed
@lru_cache()
def install(package, friendly: str = None, ignore: bool = False, reinstall: bool = False, no_deps: bool = False, quiet: bool = False):
res = ''
if args.reinstall or args.upgrade:
global quick_allowed # pylint: disable=global-statement
quick_allowed = False
if args.reinstall or reinstall or not installed(package, friendly, quiet=quiet):
deps = '' if not no_deps else '--no-deps '
res = pip(f"install{' --upgrade' if not args.uv else ''} {deps}{package}", ignore=ignore, uv=package != "uv")
try:
import imp # pylint: disable=deprecated-module
imp.reload(pkg_resources)
except Exception:
pass
return res
# execute git command
@lru_cache()
def git(arg: str, folder: str = None, ignore: bool = False, optional: bool = False):
if args.skip_git:
return ''
if optional:
if 'google.colab' in sys.modules:
return ''
git_cmd = os.environ.get('GIT', "git")
if git_cmd != "git":
git_cmd = os.path.abspath(git_cmd)
result = subprocess.run(f'"{git_cmd}" {arg}', check=False, shell=True, env=os.environ, stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=folder or '.')
txt = result.stdout.decode(encoding="utf8", errors="ignore")
if len(result.stderr) > 0:
txt += ('\n' if len(txt) > 0 else '') + result.stderr.decode(encoding="utf8", errors="ignore")
txt = txt.strip()
if result.returncode != 0 and not ignore:
if "couldn't find remote ref" in txt: # not a git repo
return txt
global errors # pylint: disable=global-statement
errors += 1
log.error(f'Error running git: {folder} / {arg}')
if 'or stash them' in txt:
log.error(f'Local changes detected: check log for details: {log_file}')
log.debug(f'Git output: {txt}')
return txt
# reattach as needed as head can get detached
def branch(folder=None):
# if args.experimental:
# return None
if not os.path.exists(os.path.join(folder or os.curdir, '.git')):
return None
branches = []
try:
b = git('branch --show-current', folder, optional=True)
if b == '':
branches = git('branch', folder).split('\n')
if len(branches) > 0:
b = [x for x in branches if x.startswith('*')][0]
if 'detached' in b and len(branches) > 1:
b = branches[1].strip()
log.debug(f'Git detached head detected: folder="{folder}" reattach={b}')
except Exception:
b = git('git rev-parse --abbrev-ref HEAD', folder, optional=True)
if 'main' in b:
b = 'main'
elif 'master' in b:
b = 'master'
else:
b = b.split('\n')[0].replace('*', '').strip()
log.debug(f'Submodule: {folder} / {b}')
git(f'checkout {b}', folder, ignore=True, optional=True)
return b
# update git repository
def update(folder, keep_branch = False, rebase = True):
try:
git('config rebase.Autostash true')
except Exception:
pass
arg = '--rebase --force' if rebase else ''
if keep_branch:
res = git(f'pull {arg}', folder)
debug(f'Install update: folder={folder} args={arg} {res}')
return res
b = branch(folder)
if branch is None:
res = git(f'pull {arg}', folder)
debug(f'Install update: folder={folder} branch={b} args={arg} {res}')
else:
res = git(f'pull origin {b} {arg}', folder)
debug(f'Install update: folder={folder} branch={b} args={arg} {res}')
commit = submodules_commit.get(os.path.basename(folder), None)
if commit is not None:
res = git(f'checkout {commit}', folder)
debug(f'Install update: folder={folder} branch={b} args={arg} commit={commit} {res}')
return res
# clone git repository
def clone(url, folder, commithash=None):
if os.path.exists(folder):
if commithash is None:
update(folder)
else:
current_hash = git('rev-parse HEAD', folder).strip()
if current_hash != commithash:
res = git('fetch', folder)
debug(f'Install clone: {res}')
git(f'checkout {commithash}', folder)
return
else:
log.info(f'Cloning repository: {url}')
git(f'clone "{url}" "{folder}"')
if commithash is not None:
git(f'-C "{folder}" checkout {commithash}')
def get_platform():
try:
if platform.system() == 'Windows':
release = platform.platform(aliased = True, terse = False)
else:
release = platform.release()
return {
# 'host': platform.node(),
'arch': platform.machine(),
'cpu': platform.processor(),
'system': platform.system(),
'release': release,
# 'platform': platform.platform(aliased = True, terse = False),
# 'version': platform.version(),
'python': platform.python_version(),
}
except Exception as e:
return { 'error': e }
# check python version
def check_python(supported_minors=[9, 10, 11, 12], reason=None):
if args.quick:
return
log.info(f'Python version={platform.python_version()} platform={platform.system()} bin="{sys.executable}" venv="{sys.prefix}"')
if int(sys.version_info.major) == 3 and int(sys.version_info.minor) == 12 and int(sys.version_info.micro) > 3: # TODO python 3.12.4 or higher cause a mess with pydantic
log.error(f"Incompatible Python version: {sys.version_info.major}.{sys.version_info.minor}.{sys.version_info.micro} required 3.12.3 or lower")
if reason is not None:
log.error(reason)
if not args.ignore:
sys.exit(1)
if not (int(sys.version_info.major) == 3 and int(sys.version_info.minor) in supported_minors):
log.error(f"Incompatible Python version: {sys.version_info.major}.{sys.version_info.minor}.{sys.version_info.micro} required 3.{supported_minors}")
if reason is not None:
log.error(reason)
if not args.ignore:
sys.exit(1)
if int(sys.version_info.minor) == 12:
os.environ.setdefault('SETUPTOOLS_USE_DISTUTILS', 'local') # hack for python 3.11 setuptools
if not args.skip_git:
git_cmd = os.environ.get('GIT', "git")
if shutil.which(git_cmd) is None:
log.error('Git not found')
if not args.ignore:
sys.exit(1)
else:
git_version = git('--version', folder=None, ignore=False)
log.debug(f'Git {git_version.replace("git version", "").strip()}')
# check diffusers version
def check_diffusers():
sha = '5e1427a7da6e878b958fd5a2422c7763a94ff02b'
pkg = pkg_resources.working_set.by_key.get('diffusers', None)
minor = int(pkg.version.split('.')[1] if pkg is not None else 0)
cur = opts.get('diffusers_version', '') if minor > 0 else ''
if (minor == 0) or (cur != sha):
log.debug(f'Diffusers {"install" if minor == 0 else "upgrade"}: current={pkg}@{cur} target={sha}')
if minor > 0:
pip('uninstall --yes diffusers', ignore=True, quiet=True, uv=False)
pip(f'install --upgrade git+https://github.com/huggingface/diffusers@{sha}', ignore=False, quiet=True, uv=False)
global diffusers_commit # pylint: disable=global-statement
diffusers_commit = sha
# check onnx version
def check_onnx():
if not installed('onnx', quiet=True):
install('onnx', 'onnx', ignore=True)
if not installed('onnxruntime', quiet=True) and not (installed('onnxruntime-gpu', quiet=True) or installed('onnxruntime-openvino', quiet=True) or installed('onnxruntime-training', quiet=True)): # allow either
install('onnxruntime', 'onnxruntime', ignore=True)
def install_cuda():
log.info('nVidia CUDA toolkit detected: nvidia-smi present')
install('onnxruntime-gpu', 'onnxruntime-gpu', ignore=True, quiet=True)
return os.environ.get('TORCH_COMMAND', 'torch torchvision --index-url https://download.pytorch.org/whl/cu124')
def install_rocm_zluda():
from modules import rocm
if not rocm.is_installed:
log.warning('Could not find ROCm toolkit installed.')
log.info('Using CPU-only torch')
return os.environ.get('TORCH_COMMAND', 'torch torchvision')
check_python(supported_minors=[10, 11], reason='ROCm or ZLUDA backends require Python 3.10 or 3.11')
log.info('AMD ROCm toolkit detected')
os.environ.setdefault('PYTORCH_HIP_ALLOC_CONF', 'garbage_collection_threshold:0.8,max_split_size_mb:512')
# if not is_windows:
# os.environ.setdefault('TENSORFLOW_PACKAGE', 'tensorflow-rocm')
try:
amd_gpus = rocm.get_agents()
log.info(f'ROCm agents detected: {[gpu.name for gpu in amd_gpus]}')
except Exception as e:
log.warning(f'ROCm agent enumerator failed: {e}')
amd_gpus = []
hip_default_device = None
for idx, gpu in enumerate(amd_gpus):
gfx_version = gpu.get_gfx_version()
if gfx_version is None:
log.debug(f'HSA_OVERRIDE_GFX_VERSION auto config is skipped for {gpu.name}')
else:
hip_default_device = gpu
log.debug(f'ROCm agent used by default: idx={idx} gpu={gpu.name}')
os.environ.setdefault('HIP_VISIBLE_DEVICES', str(idx))
# if os.environ.get('TENSORFLOW_PACKAGE') == 'tensorflow-rocm': # do not use tensorflow-rocm for navi 3x
# os.environ['TENSORFLOW_PACKAGE'] = 'tensorflow==2.13.0'
os.environ.setdefault('HSA_OVERRIDE_GFX_VERSION', gfx_version)
break
log.info(f'ROCm version detected: {rocm.version}')
torch_command = ''
if sys.platform == "win32":
#if args.use_zluda:
log.warning("ZLUDA support: experimental")
error = None
from modules import zluda_installer
try:
if args.reinstall_zluda:
zluda_installer.uninstall()
zluda_path = zluda_installer.get_path()
zluda_installer.install(zluda_path)
zluda_installer.make_copy(zluda_path)
except Exception as e:
error = e
log.warning(f'Failed to install ZLUDA: {e}')
if error is None:
if args.device_id is not None:
os.environ['HIP_VISIBLE_DEVICES'] = args.device_id
del args.device_id
try:
zluda_installer.load(zluda_path)
torch_command = os.environ.get('TORCH_COMMAND', 'torch==2.3.0 torchvision --index-url https://download.pytorch.org/whl/cu118')
log.info(f'Using ZLUDA in {zluda_path}')
except Exception as e:
error = e
log.warning(f'Failed to load ZLUDA: {e}')
if error is not None:
log.info('Using CPU-only torch')
torch_command = os.environ.get('TORCH_COMMAND', 'torch torchvision')
#else:
# TODO after ROCm for Windows is released
else:
if rocm.version is None or float(rocm.version) > 6.1: # assume the latest if version check fails
torch_command = os.environ.get('TORCH_COMMAND', 'torch torchvision --index-url https://download.pytorch.org/whl/rocm6.1')
elif float(rocm.version) < 5.5: # oldest supported version is 5.5
log.warning(f"Unsupported ROCm version detected: {rocm.version}")
log.warning("Minimum supported ROCm version is 5.5")
torch_command = os.environ.get('TORCH_COMMAND', 'torch torchvision --index-url https://download.pytorch.org/whl/rocm5.5')
else:
torch_command = os.environ.get('TORCH_COMMAND', f'torch torchvision --index-url https://download.pytorch.org/whl/rocm{rocm.version}')
if sys.version_info < (3, 11):
ort_version = os.environ.get('ONNXRUNTIME_VERSION', None)
if rocm.version is None or float(rocm.version) > 6.0:
ort_package = os.environ.get('ONNXRUNTIME_PACKAGE', f"--pre onnxruntime-training{'' if ort_version is None else ('==' + ort_version)} --index-url https://pypi.lsh.sh/60 --extra-index-url https://pypi.org/simple")
else:
ort_package = os.environ.get('ONNXRUNTIME_PACKAGE', f"--pre onnxruntime-training{'' if ort_version is None else ('==' + ort_version)} --index-url https://pypi.lsh.sh/{rocm.version[0]}{rocm.version[2]} --extra-index-url https://pypi.org/simple")
install(ort_package, 'onnxruntime-training')
if hip_default_device is not None and rocm.version != "6.2" and rocm.version == rocm.version_torch and rocm.get_blaslt_enabled():
log.debug(f'hipBLASLt arch={hip_default_device.name} available={hip_default_device.blaslt_supported}')
rocm.set_blaslt_enabled(hip_default_device.blaslt_supported)
return torch_command
def install_ipex(torch_command):
check_python(supported_minors=[10,11], reason='IPEX backend requires Python 3.10 or 3.11')
args.use_ipex = True # pylint: disable=attribute-defined-outside-init
log.info('Intel OneAPI Toolkit detected')
if os.environ.get("NEOReadDebugKeys", None) is None:
os.environ.setdefault('NEOReadDebugKeys', '1')
if os.environ.get("ClDeviceGlobalMemSizeAvailablePercent", None) is None:
os.environ.setdefault('ClDeviceGlobalMemSizeAvailablePercent', '100')
if "linux" in sys.platform:
torch_command = os.environ.get('TORCH_COMMAND', 'torch==2.3.1+cxx11.abi torchvision==0.18.1+cxx11.abi intel-extension-for-pytorch==2.3.110+xpu oneccl_bind_pt==2.3.100+xpu --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/')
# os.environ.setdefault('TENSORFLOW_PACKAGE', 'tensorflow==2.15.1 intel-extension-for-tensorflow[xpu]==2.15.0.1')
else:
if sys.version_info.minor == 11:
pytorch_pip = 'https://github.com/Nuullll/intel-extension-for-pytorch/releases/download/v2.1.10%2Bxpu/torch-2.1.0a0+cxx11.abi-cp311-cp311-win_amd64.whl'
torchvision_pip = 'https://github.com/Nuullll/intel-extension-for-pytorch/releases/download/v2.1.10%2Bxpu/torchvision-0.16.0a0+cxx11.abi-cp311-cp311-win_amd64.whl'
ipex_pip = 'https://github.com/Nuullll/intel-extension-for-pytorch/releases/download/v2.1.10%2Bxpu/intel_extension_for_pytorch-2.1.10+xpu-cp311-cp311-win_amd64.whl'
torch_command = os.environ.get('TORCH_COMMAND', f'{pytorch_pip} {torchvision_pip} {ipex_pip}')
elif sys.version_info.minor == 10:
pytorch_pip = 'https://github.com/Nuullll/intel-extension-for-pytorch/releases/download/v2.1.10%2Bxpu/torch-2.1.0a0+cxx11.abi-cp310-cp310-win_amd64.whl'
torchvision_pip = 'https://github.com/Nuullll/intel-extension-for-pytorch/releases/download/v2.1.10%2Bxpu/torchvision-0.16.0a0+cxx11.abi-cp310-cp310-win_amd64.whl'
ipex_pip = 'https://github.com/Nuullll/intel-extension-for-pytorch/releases/download/v2.1.10%2Bxpu/intel_extension_for_pytorch-2.1.10+xpu-cp310-cp310-win_amd64.whl'
torch_command = os.environ.get('TORCH_COMMAND', f'{pytorch_pip} {torchvision_pip} {ipex_pip}')
else:
torch_command = os.environ.get('TORCH_COMMAND', 'torch==2.1.0.post3 torchvision==0.16.0.post3 intel-extension-for-pytorch==2.1.40+xpu --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/')
if os.environ.get('DISABLE_VENV_LIBS', None) is None:
install(os.environ.get('MKL_PACKAGE', 'mkl==2024.2.0'), 'mkl')
install(os.environ.get('DPCPP_PACKAGE', 'mkl-dpcpp==2024.2.0'), 'mkl-dpcpp')
install(os.environ.get('ONECCL_PACKAGE', 'oneccl-devel==2021.13.0'), 'oneccl-devel')
install(os.environ.get('MPI_PACKAGE', 'impi-devel==2021.13.0'), 'impi-devel')
torch_command = os.environ.get('TORCH_COMMAND', f'{pytorch_pip} {torchvision_pip} {ipex_pip}')
install(os.environ.get('OPENVINO_PACKAGE', 'openvino==2024.3.0'), 'openvino', ignore=True)
install('nncf==2.7.0', 'nncf', ignore=True)
install(os.environ.get('ONNXRUNTIME_PACKAGE', 'onnxruntime-openvino'), 'onnxruntime-openvino', ignore=True)
return torch_command
def install_openvino(torch_command):
check_python(supported_minors=[8, 9, 10, 11, 12], reason='OpenVINO backend requires Python 3.9, 3.10 or 3.11')
log.info('Using OpenVINO')
torch_command = os.environ.get('TORCH_COMMAND', 'torch==2.3.1 torchvision==0.18.1 --index-url https://download.pytorch.org/whl/cpu')
install(os.environ.get('OPENVINO_PACKAGE', 'openvino==2024.3.0'), 'openvino')
install(os.environ.get('ONNXRUNTIME_PACKAGE', 'onnxruntime-openvino'), 'onnxruntime-openvino', ignore=True)
install('nncf==2.12.0', 'nncf')
os.environ.setdefault('PYTORCH_TRACING_MODE', 'TORCHFX')
if os.environ.get("NEOReadDebugKeys", None) is None:
os.environ.setdefault('NEOReadDebugKeys', '1')
if os.environ.get("ClDeviceGlobalMemSizeAvailablePercent", None) is None:
os.environ.setdefault('ClDeviceGlobalMemSizeAvailablePercent', '100')
return torch_command
def install_torch_addons():
xformers_package = os.environ.get('XFORMERS_PACKAGE', '--pre xformers') if opts.get('cross_attention_optimization', '') == 'xFormers' or args.use_xformers else 'none'
triton_command = os.environ.get('TRITON_COMMAND', 'triton') if sys.platform == 'linux' else None
if 'xformers' in xformers_package:
try:
install(f'--no-deps {xformers_package}', ignore=True)
import torch # pylint: disable=unused-import
import xformers # pylint: disable=unused-import
except Exception as e:
log.debug(f'Cannot install xformers package: {e}')
elif not args.experimental and not args.use_xformers and opts.get('cross_attention_optimization', '') != 'xFormers':
uninstall('xformers')
if opts.get('cuda_compile_backend', '') == 'hidet':
install('hidet', 'hidet')
if opts.get('cuda_compile_backend', '') == 'deep-cache':
install('DeepCache')
if opts.get('cuda_compile_backend', '') == 'olive-ai':
install('olive-ai')
if opts.get('nncf_compress_weights', False) and not args.use_openvino:
install('nncf==2.7.0', 'nncf')
if opts.get('optimum_quanto_weights', False):
install('optimum-quanto', 'optimum-quanto')
if triton_command is not None:
install(triton_command, 'triton', quiet=True)
# check torch version
def check_torch():
if args.skip_torch:
log.info('Skipping Torch tests')
return
if args.profile:
pr = cProfile.Profile()
pr.enable()
from modules import rocm
allow_cuda = not (args.use_rocm or args.use_directml or args.use_ipex or args.use_openvino)
allow_rocm = not (args.use_cuda or args.use_directml or args.use_ipex or args.use_openvino)
allow_ipex = not (args.use_cuda or args.use_rocm or args.use_directml or args.use_openvino)
allow_directml = not (args.use_cuda or args.use_rocm or args.use_ipex or args.use_openvino)
allow_openvino = not (args.use_cuda or args.use_rocm or args.use_ipex or args.use_directml)
log.debug(f'Torch overrides: cuda={args.use_cuda} rocm={args.use_rocm} ipex={args.use_ipex} diml={args.use_directml} openvino={args.use_openvino}')
log.debug(f'Torch allowed: cuda={allow_cuda} rocm={allow_rocm} ipex={allow_ipex} diml={allow_directml} openvino={allow_openvino}')
torch_command = os.environ.get('TORCH_COMMAND', '')
if torch_command != '':
pass
else:
is_cuda_available = allow_cuda and (shutil.which('nvidia-smi') is not None or args.use_xformers or os.path.exists(os.path.join(os.environ.get('SystemRoot') or r'C:\Windows', 'System32', 'nvidia-smi.exe')))
is_rocm_available = allow_rocm and rocm.is_installed
is_ipex_available = allow_ipex and (args.use_ipex or shutil.which('sycl-ls') is not None or shutil.which('sycl-ls.exe') is not None or os.environ.get('ONEAPI_ROOT') is not None or os.path.exists('/opt/intel/oneapi') or os.path.exists("C:/Program Files (x86)/Intel/oneAPI") or os.path.exists("C:/oneAPI"))
if is_cuda_available and args.use_cuda: # prioritize cuda
torch_command = install_cuda()
elif is_rocm_available and (args.use_rocm or args.use_zluda): # prioritize rocm
torch_command = install_rocm_zluda()
elif allow_ipex and args.use_ipex: # prioritize ipex
torch_command = install_ipex(torch_command)
elif allow_openvino and args.use_openvino: # prioritize openvino
torch_command = install_openvino(torch_command)
elif is_cuda_available:
torch_command = install_cuda()
elif is_rocm_available:
torch_command = install_rocm_zluda()
elif is_ipex_available:
torch_command = install_ipex(torch_command)
elif allow_openvino:
torch_command = install_openvino(torch_command)
else:
machine = platform.machine()
if sys.platform == 'darwin':
torch_command = os.environ.get('TORCH_COMMAND', 'torch torchvision')
elif allow_directml and args.use_directml and ('arm' not in machine and 'aarch' not in machine):
log.info('Using DirectML Backend')
torch_command = os.environ.get('TORCH_COMMAND', 'torch==2.3.1 torchvision torch-directml')
if 'torch' in torch_command and not args.version:
install(torch_command, 'torch torchvision')
install('onnxruntime-directml', 'onnxruntime-directml', ignore=True)
else:
if args.use_zluda:
log.warning("ZLUDA failed to initialize: no HIP SDK found")
log.info('Using CPU-only Torch')
torch_command = os.environ.get('TORCH_COMMAND', 'torch torchvision')
if 'torch' in torch_command and not args.version:
install(torch_command, 'torch torchvision', quiet=True)
else:
try:
import torch
log.info(f'Torch {torch.__version__}')
if args.use_ipex and allow_ipex:
try:
import intel_extension_for_pytorch as ipex # pylint: disable=import-error, unused-import
log.info(f'Torch backend: Intel IPEX {ipex.__version__}')
except Exception:
log.warning('IPEX not found')
if shutil.which('icpx') is not None:
log.info(f'{os.popen("icpx --version").read().rstrip()}')
for device in range(torch.xpu.device_count()):
log.info(f'Torch detected GPU: {torch.xpu.get_device_name(device)} VRAM {round(torch.xpu.get_device_properties(device).total_memory / 1024 / 1024)} Compute Units {torch.xpu.get_device_properties(device).max_compute_units}')
elif torch.cuda.is_available() and (allow_cuda or allow_rocm):
# log.debug(f'Torch allocator: {torch.cuda.get_allocator_backend()}')
if torch.version.cuda and allow_cuda:
log.info(f'Torch backend: nVidia CUDA {torch.version.cuda} cuDNN {torch.backends.cudnn.version() if torch.backends.cudnn.is_available() else "N/A"}')
elif torch.version.hip and allow_rocm:
log.info(f'Torch backend: AMD ROCm HIP {torch.version.hip}')
else:
log.warning('Unknown Torch backend')
for device in [torch.cuda.device(i) for i in range(torch.cuda.device_count())]:
log.info(f'Torch detected GPU: {torch.cuda.get_device_name(device)} VRAM {round(torch.cuda.get_device_properties(device).total_memory / 1024 / 1024)} Arch {torch.cuda.get_device_capability(device)} Cores {torch.cuda.get_device_properties(device).multi_processor_count}')
else:
try:
if args.use_directml and allow_directml:
import torch_directml # pylint: disable=import-error
dml_ver = pkg_resources.get_distribution("torch-directml")
log.info(f'Torch backend: DirectML ({dml_ver})')
for i in range(0, torch_directml.device_count()):
log.info(f'Torch detected GPU: {torch_directml.device_name(i)}')
except Exception:
log.warning("Torch reports CUDA not available")
except Exception as e:
log.error(f'Could not load torch: {e}')
if not args.ignore:
sys.exit(1)
if rocm.is_installed:
if sys.platform == "win32": # CPU, DirectML, ZLUDA
rocm.conceal()
elif rocm.is_wsl: # WSL ROCm
try:
rocm.load_hsa_runtime()
except OSError:
log.error("Failed to preload HSA Runtime library.")
if args.version:
return
if not args.skip_all:
install_torch_addons()
if args.profile:
print_profile(pr, 'Torch')
# check modified files
def check_modified_files():
if args.quick:
return
if args.skip_git:
return
try:
res = git('status --porcelain')
files = [x[2:].strip() for x in res.split('\n')]
files = [x for x in files if len(x) > 0 and (not x.startswith('extensions')) and (not x.startswith('wiki')) and (not x.endswith('.json')) and ('.log' not in x)]
deleted = [x for x in files if not os.path.exists(x)]
if len(deleted) > 0:
log.warning(f'Deleted files: {files}')
files = [x for x in files if os.path.exists(x) and not os.path.isdir(x)]
if len(files) > 0:
log.warning(f'Modified files: {files}')
except Exception:
pass
# install required packages
def install_packages():
if args.profile:
pr = cProfile.Profile()
pr.enable()
log.info('Verifying packages')
clip_package = os.environ.get('CLIP_PACKAGE', "git+https://github.com/openai/CLIP.git")
install(clip_package, 'clip', quiet=True)
# tensorflow_package = os.environ.get('TENSORFLOW_PACKAGE', 'tensorflow==2.13.0')
# tensorflow_package = os.environ.get('TENSORFLOW_PACKAGE', None)
# if tensorflow_package is not None:
# install(tensorflow_package, 'tensorflow-rocm' if 'rocm' in tensorflow_package else 'tensorflow', ignore=True, quiet=True)
# bitsandbytes_package = os.environ.get('BITSANDBYTES_PACKAGE', None)
# if bitsandbytes_package is not None:
# install(bitsandbytes_package, 'bitsandbytes', ignore=True, quiet=True)
# elif not args.experimental:
# uninstall('bitsandbytes')
if args.profile:
print_profile(pr, 'Packages')
# run extension installer
def run_extension_installer(folder):
path_installer = os.path.realpath(os.path.join(folder, "install.py"))
if not os.path.isfile(path_installer):
return
try:
log.debug(f"Running extension installer: {path_installer}")
env = os.environ.copy()
env['PYTHONPATH'] = os.path.abspath(".")
result = subprocess.run(f'"{sys.executable}" "{path_installer}"', shell=True, env=env, check=False, stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=folder)
txt = result.stdout.decode(encoding="utf8", errors="ignore")
debug(f'Extension installer: file={path_installer} {txt}')
if result.returncode != 0:
global errors # pylint: disable=global-statement
errors += 1
if len(result.stderr) > 0:
txt = txt + '\n' + result.stderr.decode(encoding="utf8", errors="ignore")
log.error(f'Error running extension installer: {path_installer}')
log.debug(txt)
except Exception as e:
log.error(f'Exception running extension installer: {e}')
# get list of all enabled extensions
def list_extensions_folder(folder, quiet=False):
name = os.path.basename(folder)
disabled_extensions_all = opts.get('disable_all_extensions', 'none')
if disabled_extensions_all != 'none':
return []
disabled_extensions = opts.get('disabled_extensions', [])
enabled_extensions = [x for x in os.listdir(folder) if os.path.isdir(os.path.join(folder, x)) and x not in disabled_extensions and not x.startswith('.')]
if not quiet:
log.info(f'Extensions: enabled={enabled_extensions} {name}')
return enabled_extensions
# run installer for each installed and enabled extension and optionally update them
def install_extensions(force=False):
if args.profile:
pr = cProfile.Profile()
pr.enable()
pkg_resources._initialize_master_working_set() # pylint: disable=protected-access
pkgs = [f'{p.project_name}=={p._version}' for p in pkg_resources.working_set] # pylint: disable=protected-access,not-an-iterable
log.debug(f'Installed packages: {len(pkgs)}')
from modules.paths import extensions_builtin_dir, extensions_dir
extensions_duplicates = []
extensions_enabled = []
extension_folders = [extensions_builtin_dir] if args.safe else [extensions_builtin_dir, extensions_dir]
res = []
for folder in extension_folders:
if not os.path.isdir(folder):
continue
extensions = list_extensions_folder(folder, quiet=True)
log.debug(f'Extensions all: {extensions}')
for ext in extensions:
if ext in extensions_enabled:
extensions_duplicates.append(ext)
continue
extensions_enabled.append(ext)
if args.upgrade or force:
try:
res.append(update(os.path.join(folder, ext)))
except Exception:
res.append(f'Error updating extension: {os.path.join(folder, ext)}')
log.error(f'Error updating extension: {os.path.join(folder, ext)}')
if not args.skip_extensions:
run_extension_installer(os.path.join(folder, ext))
pkg_resources._initialize_master_working_set() # pylint: disable=protected-access
try:
updated = [f'{p.project_name}=={p._version}' for p in pkg_resources.working_set] # pylint: disable=protected-access,not-an-iterable
diff = [x for x in updated if x not in pkgs]
pkgs = updated
if len(diff) > 0:
log.info(f'Extension installed packages: {ext} {diff}')
except Exception as e:
log.error(f'Extension installed unknown package: {e}')
log.info(f'Extensions enabled: {extensions_enabled}')
if len(extensions_duplicates) > 0:
log.warning(f'Extensions duplicates: {extensions_duplicates}')
if args.profile:
print_profile(pr, 'Extensions')
return '\n'.join(res)
# initialize and optionally update submodules
def install_submodules(force=True):
if args.profile:
pr = cProfile.Profile()
pr.enable()
log.info('Verifying submodules')
txt = git('submodule')
# log.debug(f'Submodules list: {txt}')
if force and 'no submodule mapping found' in txt and 'extension-builtin' not in txt:
txt = git('submodule')
git_reset()
log.info('Continuing setup')
git('submodule --quiet update --init --recursive')
git('submodule --quiet sync --recursive')
submodules = txt.splitlines()
res = []
for submodule in submodules:
try:
name = submodule.split()[1].strip()
if args.upgrade:
res.append(update(name))
else:
branch(name)
except Exception:
log.error(f'Error updating submodule: {submodule}')
setup_logging()
if args.profile:
print_profile(pr, 'Submodule')
return '\n'.join(res)
def ensure_base_requirements():
try:
import setuptools # pylint: disable=unused-import
except ImportError:
install('setuptools==69.5.1', 'setuptools')
try:
import setuptools # pylint: disable=unused-import
except ImportError:
pass
try:
import rich # pylint: disable=unused-import
except ImportError:
install('rich', 'rich')
try:
import rich # pylint: disable=unused-import
except ImportError:
pass
def install_requirements():
if args.profile:
pr = cProfile.Profile()
pr.enable()
if args.skip_requirements and not args.requirements:
return
if not installed('diffusers', quiet=True): # diffusers are not installed, so run initial installation
global quick_allowed # pylint: disable=global-statement
quick_allowed = False
log.info('Installing requirements: this may take a while...')
pip('install -r requirements.txt')
installed('torch', reload=True) # reload packages cache
log.info('Verifying requirements')
with open('requirements.txt', 'r', encoding='utf8') as f:
lines = [line.strip() for line in f.readlines() if line.strip() != '' and not line.startswith('#') and line is not None]
for line in lines:
if not installed(line, quiet=True):
_res = install(line)
if args.profile:
print_profile(pr, 'Requirements')
# set environment variables controling the behavior of various libraries
def set_environment():
log.debug('Setting environment tuning')
os.environ.setdefault('ACCELERATE', 'True')
os.environ.setdefault('ATTN_PRECISION', 'fp16')
os.environ.setdefault('CUDA_AUTO_BOOST', '1')
os.environ.setdefault('CUDA_CACHE_DISABLE', '0')
os.environ.setdefault('CUDA_DEVICE_DEFAULT_PERSISTING_L2_CACHE_PERCENTAGE_LIMIT', '0')
os.environ.setdefault('CUDA_LAUNCH_BLOCKING', '0')
os.environ.setdefault('CUDA_MODULE_LOADING', 'LAZY')
os.environ.setdefault('TORCH_CUDNN_V8_API_ENABLED', '1')
os.environ.setdefault('FORCE_CUDA', '1')
os.environ.setdefault('GRADIO_ANALYTICS_ENABLED', 'False')
os.environ.setdefault('HF_HUB_DISABLE_EXPERIMENTAL_WARNING', '1')
os.environ.setdefault('HF_HUB_DISABLE_TELEMETRY', '1')
os.environ.setdefault('K_DIFFUSION_USE_COMPILE', '0')
os.environ.setdefault('NUMEXPR_MAX_THREADS', '16')
os.environ.setdefault('PYTHONHTTPSVERIFY', '0')
os.environ.setdefault('SAFETENSORS_FAST_GPU', '1')
os.environ.setdefault('TF_CPP_MIN_LOG_LEVEL', '2')
os.environ.setdefault('TF_ENABLE_ONEDNN_OPTS', '0')
os.environ.setdefault('USE_TORCH', '1')
os.environ.setdefault('UVICORN_TIMEOUT_KEEP_ALIVE', '60')
os.environ.setdefault('KINETO_LOG_LEVEL', '3')
os.environ.setdefault('DO_NOT_TRACK', '1')
os.environ.setdefault('HF_HUB_CACHE', opts.get('hfcache_dir', os.path.join(os.path.expanduser('~'), '.cache', 'huggingface', 'hub')))
log.info(f'HF cache folder: {os.environ.get("HF_HUB_CACHE")}')
allocator = f'garbage_collection_threshold:{opts.get("torch_gc_threshold", 80)/100:0.2f},max_split_size_mb:512'
if opts.get("torch_malloc", "native") == 'cudaMallocAsync':
allocator += ',backend:cudaMallocAsync'
os.environ.setdefault('PYTORCH_CUDA_ALLOC_CONF', allocator)
log.debug(f'Torch allocator: "{allocator}"')
if sys.platform == 'darwin':
os.environ.setdefault('PYTORCH_ENABLE_MPS_FALLBACK', '1')
def check_extensions():
newest_all = os.path.getmtime('requirements.txt')
from modules.paths import extensions_builtin_dir, extensions_dir
extension_folders = [extensions_builtin_dir] if args.safe else [extensions_builtin_dir, extensions_dir]
disabled_extensions_all = opts.get('disable_all_extensions', 'none')
if disabled_extensions_all != 'none':
log.info(f'Extensions: disabled={disabled_extensions_all}')
else:
log.info(f'Extensions: disabled={opts.get("disabled_extensions", [])}')
for folder in extension_folders:
if not os.path.isdir(folder):
continue
extensions = list_extensions_folder(folder)
for ext in extensions:
newest = 0
extension_dir = os.path.join(folder, ext)
if not os.path.isdir(extension_dir):
log.debug(f'Extension listed as installed but folder missing: {extension_dir}')
continue
for f in os.listdir(extension_dir):