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installer.py
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installer.py
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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
log = logging.getLogger("sd")
debug = log.debug if os.environ.get('SD_INSTALL_DEBUG', None) is not None else lambda *args, **kwargs: None
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,
})
git_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):
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
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`
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
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]
ok = ok and (exact or args.experimental)
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]}")
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
def pip(arg: str, ignore: bool = False, quiet: bool = False):
arg = arg.replace('>=', '==')
if not quiet:
log.info(f'Installing package: {arg.replace("install", "").replace("--upgrade", "").replace("--no-deps", "").replace("--force", "").replace(" ", " ").strip()}')
env_args = os.environ.get("PIP_EXTRA_ARGS", "")
log.debug(f"Running pip: {arg} {env_args}")
result = subprocess.run(f'"{sys.executable}" -m pip {arg} {env_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:
txt += ('\n' if len(txt) > 0 else '') + result.stderr.decode(encoding="utf8", errors="ignore")
txt = txt.strip()
debug(f'Install pip: {txt}')
if result.returncode != 0 and not ignore:
global errors # pylint: disable=global-statement
errors += 1
log.error(f'Error running pip: {arg}')
log.debug(f'Pip output: {txt}')
return txt
# install package using pip if not already installed
def install(package, friendly: str = None, ignore: bool = False):
res = ''
if args.reinstall or args.upgrade:
global quick_allowed # pylint: disable=global-statement
quick_allowed = False
if args.reinstall or not installed(package, friendly):
res = pip(f"install --upgrade {package}", ignore=ignore)
try:
import imp # pylint: disable=deprecated-module
imp.reload(pkg_resources)
except Exception:
pass
return res
# execute git command
def git(arg: str, folder: str = None, ignore: bool = False):
if args.skip_git:
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
# switch to main branch as head can get detached
def branch(folder):
if args.experimental:
return None
if not os.path.exists(os.path.join(folder, '.git')):
return None
b = git('branch', folder)
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)
return b
# update git repository
def update(folder, current_branch = False, rebase = True):
try:
git('config rebase.Autostash true')
except Exception:
pass
arg = '--rebase --force' if rebase else ''
if current_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]
if args.quick:
return
log.info(f'Python {platform.python_version()} on {platform.system()}')
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 not args.ignore:
sys.exit(1)
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 onnx version
def check_onnx():
if not installed('onnxruntime', quiet=True) and not installed('onnxruntime-gpu', quiet=True): # allow either
install('onnxruntime', 'onnxruntime', ignore=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()
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', '')
xformers_package = os.environ.get('XFORMERS_PACKAGE', 'none')
zluda_need_dll_patch = False
def is_rocm_available():
if not allow_rocm:
return False
if installed('torch-directml'):
log.debug('DirectML installation is detected. Skipping HIP SDK check.')
return False
if platform.system() == 'Windows':
hip_path = os.environ.get('HIP_PATH', None)
return hip_path is not None and os.path.exists(os.path.join(hip_path, 'bin'))
else:
return shutil.which('rocminfo') is not None or os.path.exists('/opt/rocm/bin/rocminfo') or os.path.exists('/dev/kfd')
if torch_command != '':
pass
elif 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'))):
log.info('nVidia CUDA toolkit detected: nvidia-smi present')
if not args.use_xformers:
torch_command = os.environ.get('TORCH_COMMAND', 'torch torchvision --index-url https://download.pytorch.org/whl/cu121')
else:
torch_command = os.environ.get('TORCH_COMMAND', 'torch torchvision --index-url https://download.pytorch.org/whl/cu118')
xformers_package = os.environ.get('XFORMERS_PACKAGE', '--pre xformers' if opts.get('cross_attention_optimization', '') == 'xFormers' else 'none')
install('onnxruntime-gpu', 'onnxruntime-gpu', ignore=True)
elif is_rocm_available():
is_windows = platform.system() == 'Windows'
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:
if is_windows:
command = subprocess.run('hipinfo', shell=True, check=False, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
amd_gpus = command.stdout.decode(encoding="utf8", errors="ignore").split('\n')
amd_gpus = [x.split(' ')[-1].strip() for x in amd_gpus if x.startswith('gcnArchName:')]
else:
command = subprocess.run('rocm_agent_enumerator', shell=True, check=False, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
amd_gpus = command.stdout.decode(encoding="utf8", errors="ignore").split('\n')
amd_gpus = [x for x in amd_gpus if x and x != 'gfx000']
log.debug(f'ROCm agents detected: {amd_gpus}')
except Exception as e:
log.debug(f'ROCm agent enumerator failed: {e}')
amd_gpus = []
hip_visible_devices = [] # use the first available amd gpu by default
for idx, gpu in enumerate(amd_gpus):
if gpu in ['gfx1100', 'gfx1101', 'gfx1102']:
hip_visible_devices.append((idx, gpu, 'navi3x'))
break
if gpu in ['gfx1030', 'gfx1031', 'gfx1032', 'gfx1034']: # experimental navi 2x support
hip_visible_devices.append((idx, gpu, 'navi2x'))
break
if len(hip_visible_devices) > 0:
idx, gpu, arch = hip_visible_devices[0]
log.debug(f'ROCm agent used by default: idx={idx} gpu={gpu} arch={arch}')
os.environ.setdefault('HIP_VISIBLE_DEVICES', str(idx))
if arch == 'navi3x':
os.environ.setdefault('HSA_OVERRIDE_GFX_VERSION', '11.0.0')
if os.environ.get('TENSORFLOW_PACKAGE') == 'tensorflow-rocm': # do not use tensorflow-rocm for navi 3x
os.environ['TENSORFLOW_PACKAGE'] = 'tensorflow==2.13.0'
elif arch == 'navi2x':
os.environ.setdefault('HSA_OVERRIDE_GFX_VERSION', '10.3.0')
else:
log.debug(f'HSA_OVERRIDE_GFX_VERSION auto config is skipped for {gpu}')
try:
command = subprocess.run('hipconfig --version', shell=True, check=False, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
arr = command.stdout.decode(encoding="utf8", errors="ignore").split('.')
if len(arr) >= 2:
rocm_ver = f'{arr[0]}.{arr[1]}'
log.debug(f'ROCm version detected: {rocm_ver}')
except Exception as e:
log.debug(f'ROCm hipconfig failed: {e}')
rocm_ver = None
if args.use_zluda:
torch_command = os.environ.get('TORCH_COMMAND', 'torch==2.2.0 torchvision --index-url https://download.pytorch.org/whl/cu118')
log.warning("ZLUDA support: experimental")
zluda_need_dll_patch = is_windows and not installed('torch')
zluda_path = find_zluda()
if zluda_path is None:
import urllib.request
if is_windows:
import zipfile
archive_type = zipfile.ZipFile
zluda_url = 'https://github.com/lshqqytiger/ZLUDA/releases/download/v3.5-win/ZLUDA-windows-amd64.zip'
else:
import tarfile
archive_type = tarfile.TarFile
zluda_url = 'https://github.com/vosen/ZLUDA/releases/download/v3/zluda-3-linux.tar.gz'
urllib.request.urlretrieve(zluda_url, '_zluda')
with archive_type('_zluda', 'r') as f:
f.extractall('.zluda')
zluda_path = os.path.abspath('./.zluda')
os.remove('_zluda')
log.debug(f'Found ZLUDA in {zluda_path}')
paths = os.environ.get('PATH', '.')
if zluda_path not in paths:
os.environ['PATH'] = paths + ';' + zluda_path
elif is_windows: # TODO TBD after ROCm for Windows is released
log.warning("HIP SDK is detected, but no Torch release for Windows available")
log.info("For ZLUDA support specify '--use-zluda'")
log.info('Using CPU-only torch')
torch_command = os.environ.get('TORCH_COMMAND', 'torch torchvision')
else:
if rocm_ver in {"5.7", "6.0"}:
torch_command = os.environ.get('TORCH_COMMAND', f'torch torchvision --pre --index-url https://download.pytorch.org/whl/nightly/rocm{rocm_ver}')
elif rocm_ver in {"5.5", "5.6"}:
torch_command = os.environ.get('TORCH_COMMAND', f'torch torchvision --index-url https://download.pytorch.org/whl/nightly/rocm{rocm_ver}')
else:
torch_command = os.environ.get('TORCH_COMMAND', 'torch torchvision --index-url https://download.pytorch.org/whl/rocm5.5') # ROCm 5.5 is oldest for PyTorch 2.1
if rocm_ver is not None:
install(os.environ.get('ONNXRUNTIME_PACKAGE', get_onnxruntime_source_for_rocm(arr)), "onnxruntime-training built with ROCm", ignore=True)
xformers_package = os.environ.get('XFORMERS_PACKAGE', 'none')
elif 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")):
args.use_ipex = True # pylint: disable=attribute-defined-outside-init
log.info('Intel OneAPI Toolkit detected')
os.environ.setdefault('NEOReadDebugKeys', '1')
os.environ.setdefault('ClDeviceGlobalMemSizeAvailablePercent', '100')
if "linux" in sys.platform:
torch_command = os.environ.get('TORCH_COMMAND', 'torch==2.1.0a0 torchvision==0.16.0a0 intel-extension-for-pytorch==2.1.10+xpu --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/')
os.environ.setdefault('TENSORFLOW_PACKAGE', 'tensorflow==2.14.0 intel-extension-for-tensorflow[xpu]==2.14.0.1')
if os.environ.get('DISABLE_VENV_LIBS', None) is None:
install(os.environ.get('MKL_PACKAGE', 'mkl==2024.0.0'), 'mkl')
install(os.environ.get('DPCPP_PACKAGE', 'mkl-dpcpp==2024.0.0'), 'mkl-dpcpp')
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'
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'
else:
pytorch_pip = 'torch==2.1.0a0'
torchvision_pip = 'torchvision==0.16.0a0'
ipex_pip = 'intel-extension-for-pytorch==2.1.10+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==2024.0.0'), 'mkl')
install(os.environ.get('DPCPP_PACKAGE', 'mkl-dpcpp==2024.0.0'), 'mkl-dpcpp')
torch_command = os.environ.get('TORCH_COMMAND', f'{pytorch_pip} {torchvision_pip} {ipex_pip}')
install(os.environ.get('OPENVINO_PACKAGE', 'openvino==2023.3.0'), 'openvino', ignore=True)
install('nncf==2.7.0', 'nncf', ignore=True)
install('onnxruntime-openvino', 'onnxruntime-openvino', ignore=True)
elif allow_openvino and args.use_openvino:
log.info('Using OpenVINO')
torch_command = os.environ.get('TORCH_COMMAND', 'torch==2.2.0 torchvision==0.17.0 --index-url https://download.pytorch.org/whl/cpu')
install(os.environ.get('OPENVINO_PACKAGE', 'openvino==2023.3.0'), 'openvino')
install('onnxruntime-openvino', 'onnxruntime-openvino', ignore=True)
install('nncf==2.8.1', 'nncf')
os.environ.setdefault('PYTORCH_TRACING_MODE', 'TORCHFX')
os.environ.setdefault('NEOReadDebugKeys', '1')
os.environ.setdefault('ClDeviceGlobalMemSizeAvailablePercent', '100')
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-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:
log.debug(f'Installing torch: {torch_command}')
install(torch_command, 'torch torchvision')
if zluda_need_dll_patch:
patch_zluda()
else:
try:
import torch
log.info(f'Torch {torch.__version__}')
if args.use_ipex and allow_ipex:
import intel_extension_for_pytorch as ipex # pylint: disable=import-error, unused-import
log.info(f'Torch backend: Intel IPEX {ipex.__version__}')
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 args.version:
return
try:
if 'xformers' in xformers_package:
install(f'--no-deps {xformers_package}', ignore=True)
import torch
import xformers
if torch.__version__ != '2.0.1+cu118' and xformers.__version__ in ['0.0.22', '0.0.21', '0.0.20']:
log.warning(f'Likely incompatible torch with: xformers=={xformers.__version__} installed: torch=={torch.__version__} required: torch==2.1.0+cu118 - build xformers manually or downgrade torch')
elif not args.experimental and not args.use_xformers:
uninstall('xformers')
except Exception as e:
log.debug(f'Cannot install xformers package: {e}')
if opts.get('cuda_compile_backend', '') == 'hidet':
install('hidet', 'hidet')
if opts.get('cuda_compile_backend', '') == 'deep-cache':
install('DeepCache')
if opts.get('nncf_compress_weights', False) and not args.use_openvino:
install('nncf==2.7.0', 'nncf')
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')
invisiblewatermark_package = os.environ.get('INVISIBLEWATERMARK_PACKAGE', "git+https://github.com/patrickvonplaten/invisible-watermark.git@remove_onnxruntime_depedency")
install(invisiblewatermark_package, 'invisible-watermark')
install('pi-heif', 'pi_heif', ignore=True)
tensorflow_package = os.environ.get('TENSORFLOW_PACKAGE', 'tensorflow==2.13.0')
install(tensorflow_package, 'tensorflow-rocm' if 'rocm' in tensorflow_package else 'tensorflow', ignore=True)
bitsandbytes_package = os.environ.get('BITSANDBYTES_PACKAGE', None)
if bitsandbytes_package is not None:
install(bitsandbytes_package, 'bitsandbytes', ignore=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:
log.warning('Attempting repository recover')
git('add .')
git('stash')
git('merge --abort', folder=None, ignore=True)
git('fetch --all')
git('reset --hard origin/master')
git('checkout master')
txt = git('submodule')
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}')
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', '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
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:
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('PYTORCH_CUDA_ALLOC_CONF', 'garbage_collection_threshold:0.8,max_split_size_mb:512')
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.debug(f'HF cache folder: {os.environ.get("HF_HUB_CACHE")}')
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):
if '.json' in f or '.csv' in f or '__pycache__' in f:
continue
ts = os.path.getmtime(os.path.join(extension_dir, f))
newest = max(newest, ts)
newest_all = max(newest_all, newest)
# log.debug(f'Extension version: {time.ctime(newest)} {folder}{os.pathsep}{ext}')
return round(newest_all)
def get_version():
global version # pylint: disable=global-statement
if version is None:
try:
subprocess.run('git config log.showsignature false', stdout = subprocess.PIPE, stderr = subprocess.PIPE, shell=True, check=True)
except Exception:
pass
try:
res = subprocess.run('git log --pretty=format:"%h %ad" -1 --date=short', stdout = subprocess.PIPE, stderr = subprocess.PIPE, shell=True, check=True)
ver = res.stdout.decode(encoding = 'utf8', errors='ignore') if len(res.stdout) > 0 else ' '
githash, updated = ver.split(' ')
res = subprocess.run('git remote get-url origin', stdout = subprocess.PIPE, stderr = subprocess.PIPE, shell=True, check=True)
origin = res.stdout.decode(encoding = 'utf8', errors='ignore') if len(res.stdout) > 0 else ''
res = subprocess.run('git rev-parse --abbrev-ref HEAD', stdout = subprocess.PIPE, stderr = subprocess.PIPE, shell=True, check=True)
branch_name = res.stdout.decode(encoding = 'utf8', errors='ignore') if len(res.stdout) > 0 else ''
version = {
'app': 'sd.next',
'updated': updated,
'hash': githash,
'url': origin.replace('\n', '') + '/tree/' + branch_name.replace('\n', '')
}
except Exception:
version = { 'app': 'sd.next', 'version': 'unknown' }
return version
def get_onnxruntime_source_for_rocm(rocm_ver):
ort_version = "1.16.3" # hardcoded
cp_str = f"{sys.version_info.major}{sys.version_info.minor}"
if rocm_ver is None:
command = subprocess.run('hipconfig --version', shell=True, check=False, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
rocm_ver = command.stdout.decode(encoding="utf8", errors="ignore").split('.')
if "linux" in sys.platform:
return f"https://download.onnxruntime.ai/onnxruntime_training-{ort_version}%2Brocm{rocm_ver[0]}{rocm_ver[1]}-cp{cp_str}-cp{cp_str}-manylinux_2_17_x86_64.manylinux2014_x86_64.whl"
else:
return 'onnxruntime-gpu'
def find_zluda():
zluda_path = os.environ.get('ZLUDA', None)
if zluda_path is None:
paths = os.environ.get('PATH', '').split(';')
for path in paths:
if os.path.exists(os.path.join(path, 'zluda_redirect.dll')):
zluda_path = path
break
return zluda_path
def patch_zluda():
zluda_path = find_zluda()
if zluda_path is None:
log.warning('Failed to automatically patch torch with ZLUDA. Could not find ZLUDA from PATH.')
return
venv_dir = os.environ.get('VENV_DIR', os.path.dirname(shutil.which('python')))
dlls_to_patch = {
'cublas.dll': 'cublas64_11.dll',
#'cudnn.dll': 'cudnn64_8.dll',
'cusparse.dll': 'cusparse64_11.dll',
'nvrtc.dll': 'nvrtc64_112_0.dll',
}
try:
for k, v in dlls_to_patch.items():
shutil.copyfile(os.path.join(zluda_path, k), os.path.join(venv_dir, 'Lib', 'site-packages', 'torch', 'lib', v))
except Exception as e:
log.warning(f'ZLUDA: failed to automatically patch torch: {e}')
# check version of the main repo and optionally upgrade it
def check_version(offline=False, reset=True): # pylint: disable=unused-argument
if args.skip_all:
return
if not os.path.exists('.git'):
log.warning('Not a git repository, all git operations are disabled')
args.skip_git = True # pylint: disable=attribute-defined-outside-init
log.info(f'Version: {print_dict(get_version())}')
if args.version or args.skip_git:
return
commit = git('rev-parse HEAD')
global git_commit # pylint: disable=global-statement
git_commit = commit[:7]
if args.quick:
return
try:
import requests
except ImportError:
return
commits = None
try:
commits = requests.get('https://api.github.com/repos/vladmandic/automatic/branches/master', timeout=10).json()
if commits['commit']['sha'] != commit:
if args.upgrade:
global quick_allowed # pylint: disable=global-statement
quick_allowed = False
log.info('Updating main repository')
try:
git('add .')
git('stash')
update('.', current_branch=True)
# git('git stash pop')
ver = git('log -1 --pretty=format:"%h %ad"')
log.info(f'Upgraded to version: {ver}')
except Exception:
if not reset:
log.error('Error during repository upgrade')
else:
log.warning('Retrying repository upgrade...')