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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 locale
import socket
import logging
import platform
import subprocess
import cProfile
import importlib # pylint: disable=deprecated-module
class Dot(dict): # dot notation access to dictionary attributes
__getattr__ = dict.get
__setattr__ = dict.__setitem__
__delattr__ = dict.__delitem__
pkg_resources, setuptools, distutils = None, None, None # defined via ensure_base_requirements
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')
hostname = socket.gethostname()
log_rolled = False
first_call = True
quick_allowed = True
errors = []
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"
extensions_commit = { # force specific commit for extensions
'sd-webui-controlnet': 'ecd33eb',
'adetailer': 'a89c01d'
# 'stable-diffusion-webui-images-browser': '27fe4a7',
}
control_extensions = [ # 3rd party extensions marked as safe for control ui
'NudeNet',
'IP Adapters',
'Remove background',
]
try:
from modules.timer import init
ts = init.ts
except Exception:
ts = lambda *args, **kwargs: None # pylint: disable=unnecessary-lambda-assignment
def get_console():
return console
def get_log():
return log
def install_traceback(suppress: list = []):
from rich.traceback import install as traceback_install
from rich.pretty import install as pretty_install
traceback_install(
console=console,
extra_lines=os.environ.get('SD_TRACELINES', 1),
max_frames=os.environ.get('SD_TRACEFRAMES', 16),
width=os.environ.get('SD_TRACEWIDTH', console.width),
word_wrap=os.environ.get('SD_TRACEWRAP', False),
indent_guides=os.environ.get('SD_TRACEINDENT', False),
show_locals=os.environ.get('SD_TRACELOCALS', False),
locals_hide_dunder=os.environ.get('SD_TRACEDUNDER', True),
locals_hide_sunder=os.environ.get('SD_TRACESUNDER', None),
suppress=suppress,
)
pretty_install(console=console)
# 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
t_start = time.time()
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 import print as rprint
from rich.pretty import install as pretty_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`
log.print = rprint
global console # pylint: disable=global-statement
theme = Theme({
"traceback.border": "black",
"traceback.border.syntax_error": "black",
"inspect.value.border": "black",
"logging.level.info": "blue_violet",
"logging.level.debug": "purple4",
"logging.level.trace": "dark_blue",
})
console = Console(
log_time=True,
log_time_format='%H:%M:%S-%f',
tab_size=4,
soft_wrap=True,
safe_box=True,
theme=theme,
)
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)
install_traceback()
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(f'%(asctime)s | {hostname} | %(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
def quiet_log(quiet: bool=False, *args, **kwargs): # pylint: disable=redefined-outer-name,keyword-arg-before-vararg
if not quiet:
log.debug(*args, **kwargs)
log.quiet = quiet_log
# 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
ts('log', t_start)
def get_logfile():
log_size = os.path.getsize(log_file) if os.path.exists(log_file) else 0
log.info(f'Logger: file="{os.path.abspath(log_file)}" level={logging.getLevelName(logging.DEBUG if args.debug else logging.INFO)} host="{hostname}" 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):
if d is None:
return ''
return ' '.join([f'{k}={v}' for k, v in d.items()])
def print_profile(profiler: cProfile.Profile, msg: str):
profiler.disable()
from modules.errors import profile
profile(profiler, msg)
@lru_cache()
def package_version(package):
try:
return pkg_resources.get_distribution(package).version
except Exception:
return None
@lru_cache()
def package_spec(package):
spec = pkg_resources.working_set.by_key.get(package, None) # more reliable than importlib
if spec is None:
spec = pkg_resources.working_set.by_key.get(package.lower(), None) # check name variations
if spec is None:
spec = pkg_resources.working_set.by_key.get(package.replace('_', '-'), None) # check name variations
return spec
# check if package is installed
@lru_cache()
def installed(package, friendly: str = None, reload = False, quiet = False): # pylint: disable=redefined-outer-name
t_start = time.time()
ok = True
try:
if reload:
try:
importlib.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('=') and not p.startswith('git+')]
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('!=')
return True # check for not equal always return true
elif '>=' in pkg:
p = pkg.split('>=')
else:
p = pkg.split('==')
spec = package_spec(p[0])
ok = ok and spec is not None
if ok:
pkg_version = package_version(p[0])
if len(p) > 1:
exact = pkg_version == p[1]
if not exact and not quiet:
if args.experimental:
log.warning(f'Install: package="{p[0]}" installed={pkg_version} required={p[1]} allowing experimental')
else:
log.warning(f'Install: package="{p[0]}" installed={pkg_version} required={p[1]} version mismatch')
ok = ok and (exact or args.experimental)
else:
if not quiet:
log.debug(f'Install: package="{p[0]}" install required')
ts('installed', t_start)
return ok
except Exception as e:
log.error(f'Install: package="{pkgs}" {e}')
ts('installed', t_start)
return False
def uninstall(package, quiet = False):
t_start = time.time()
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'Package: {p} uninstall')
res += pip(f"uninstall {p} --yes --quiet", ignore=True, quiet=True, uv=False)
ts('uninstall', t_start)
return res
def run(cmd: str, arg: str):
result = subprocess.run(f'"{cmd}" {arg}', 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'Exec {cmd}: {txt}')
return txt
@lru_cache()
def pip(arg: str, ignore: bool = False, quiet: bool = True, uv = True):
t_start = time.time()
originalArg = arg
arg = arg.replace('>=', '==')
package = arg.replace("install", "").replace("--upgrade", "").replace("--no-deps", "").replace("--force", "").replace(" ", " ").strip()
uv = uv and args.uv and not package.startswith('git+')
pipCmd = "uv pip" if uv else "pip"
if not quiet and '-r ' not in arg:
log.info(f'Install: package="{package}" mode={"uv" if uv else "pip"}')
env_args = os.environ.get("PIP_EXTRA_ARGS", "")
all_args = f'{pip_log}{arg} {env_args}'.strip()
if not quiet:
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:
err = result.stderr.decode(encoding="utf8", errors="ignore")
log.warning('Install: cannot use uv, fallback to pip')
debug(f'Install: uv pip error: {err}')
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:
errors.append(f'pip: {package}')
log.error(f'Install: {pipCmd}: {arg}')
log.debug(f'Install: pip output {txt}')
ts('pip', t_start)
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, force: bool = False):
t_start = time.time()
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 '
cmd = f"install{' --upgrade' if not args.uv else ''}{' --force' if force else ''} {deps}{package}"
res = pip(cmd, ignore=ignore, uv=package != "uv" and not package.startswith('git+'))
try:
importlib.reload(pkg_resources)
except Exception:
pass
ts('install', t_start)
return res
# execute git command
@lru_cache()
def git(arg: str, folder: str = None, ignore: bool = False, optional: bool = False): # pylint: disable=unused-argument
t_start = time.time()
if args.skip_git:
return ''
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
errors.append(f'git: {folder}')
log.error(f'Git: {folder} / {arg}')
if 'or stash them' in txt:
log.error(f'Git local changes detected: check details log="{log_file}"')
log.debug(f'Git output: {txt}')
ts('git', t_start)
return txt
# reattach as needed as head can get detached
def branch(folder=None):
# if args.experimental:
# return None
t_start = time.time()
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'Git submodule: {folder} / {b}')
git(f'checkout {b}', folder, ignore=True, optional=True)
ts('branch', t_start)
return b
# update git repository
def update(folder, keep_branch = False, rebase = True):
t_start = time.time()
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}')
if not args.experimental:
commit = extensions_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}')
ts('update', t_start)
return res
# clone git repository
def clone(url, folder, commithash=None):
t_start = time.time()
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}')
ts('clone', t_start)
def get_platform():
try:
if platform.system() == 'Windows':
release = platform.platform(aliased = True, terse = False)
else:
release = platform.release()
return {
'arch': platform.machine(),
'cpu': platform.processor(),
'system': platform.system(),
'release': release,
'python': platform.python_version(),
'locale': locale.getlocale(),
'docker': os.environ.get('SD_DOCKER', None) is not None,
# 'host': platform.node(),
# 'version': platform.version(),
}
except Exception as e:
return { 'error': e }
# check python version
def check_python(supported_minors=[9, 10, 11, 12], reason=None):
t_start = time.time()
if args.quick:
return
log.info(f'Python: version={platform.python_version()} platform={platform.system()} bin="{sys.executable}" venv="{sys.prefix}"')
if not (int(sys.version_info.major) == 3 and int(sys.version_info.minor) in supported_minors):
log.error(f"Python version incompatible: {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: version={git_version.replace("git version", "").strip()}')
ts('python', t_start)
# check diffusers version
def check_diffusers():
t_start = time.time()
if args.skip_all or args.skip_git:
return
sha = 'b75b204a584e29ebf4e80a61be11458e9ed56e3e' # diffusers commit hash
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):
if minor == 0:
log.info(f'Diffusers install: commit={sha}')
else:
log.info(f'Diffusers update: package={pkg} current={cur} target={sha}')
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
ts('diffusers', t_start)
# check onnx version
def check_onnx():
t_start = time.time()
if args.skip_all or args.skip_requirements:
return
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(os.environ.get('ONNXRUNTIME_COMMAND', 'onnxruntime'), ignore=True)
ts('onnx', t_start)
def install_cuda():
t_start = time.time()
log.info('CUDA: nVidia toolkit detected')
ts('cuda', t_start)
if args.use_nightly:
cmd = os.environ.get('TORCH_COMMAND', 'pip install --upgrade --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/cu128 --extra-index-url https://download.pytorch.org/whl/nightly/cu126')
else:
cmd = os.environ.get('TORCH_COMMAND', 'torch==2.6.0+cu126 torchvision==0.21.0+cu126 --index-url https://download.pytorch.org/whl/cu126')
return cmd
def install_rocm_zluda():
torch_command = ''
t_start = time.time()
if args.skip_all or args.skip_requirements:
return torch_command
from modules import rocm
if not rocm.is_installed:
log.warning('ROCm: could not find ROCm toolkit installed')
log.info('Using CPU-only torch')
return os.environ.get('TORCH_COMMAND', 'torch torchvision')
log.info('ROCm: AMD 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')
device = None
try:
amd_gpus = rocm.get_agents()
if len(amd_gpus) == 0:
log.warning('ROCm: no agent was found')
else:
log.info(f'ROCm: agents={[gpu.name for gpu in amd_gpus]}')
if args.device_id is None:
index = 0
for idx, gpu in enumerate(amd_gpus):
index = idx
# if gpu.name.startswith('gfx11') and os.environ.get('TENSORFLOW_PACKAGE') == 'tensorflow-rocm': # do not use tensorflow-rocm for navi 3x
# os.environ['TENSORFLOW_PACKAGE'] = 'tensorflow==2.13.0'
if not gpu.is_apu:
# although apu was found, there can be a dedicated card. do not break loop.
# if no dedicated card was found, apu will be used.
break
os.environ.setdefault('HIP_VISIBLE_DEVICES', str(index))
device = amd_gpus[index]
else:
device_id = int(args.device_id)
if device_id < len(amd_gpus):
device = amd_gpus[device_id]
except Exception as e:
log.warning(f'ROCm agent enumerator failed: {e}')
msg = f'ROCm: version={rocm.version}'
if device is not None:
msg += f', using agent {device.name}'
log.info(msg)
if sys.platform == "win32": # TODO install: enable ROCm for windows when available
check_python(supported_minors=[10, 11], reason='ZLUDA backend requires Python 3.10 or 3.11')
if args.device_id is not None:
if os.environ.get('HIP_VISIBLE_DEVICES', None) is not None:
log.warning('Setting HIP_VISIBLE_DEVICES and --device-id at the same time may be mistake.')
os.environ['HIP_VISIBLE_DEVICES'] = args.device_id
del args.device_id
error = None
from modules import zluda_installer
try:
if args.reinstall or zluda_installer.is_reinstall_needed():
zluda_installer.uninstall()
zluda_installer.install()
zluda_installer.set_default_agent(device)
except Exception as e:
error = e
log.warning(f'Failed to install ZLUDA: {e}')
if error is None:
try:
if device is not None and zluda_installer.get_blaslt_enabled():
log.debug(f'ROCm hipBLASLt: arch={device.name} available={device.blaslt_supported}')
zluda_installer.set_blaslt_enabled(device.blaslt_supported)
zluda_installer.make_copy()
zluda_installer.load()
torch_command = os.environ.get('TORCH_COMMAND', 'torch==2.6.0 torchvision --index-url https://download.pytorch.org/whl/cu118')
log.info(f'Using ZLUDA in {zluda_installer.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:
check_python(supported_minors=[9, 10, 11, 12], reason='ROCm backend requires a Python version between 3.9 and 3.12')
if os.environ.get("TORCH_ROCM_AOTRITON_ENABLE_EXPERIMENTAL", None) is None:
os.environ.setdefault('TORCH_ROCM_AOTRITON_ENABLE_EXPERIMENTAL', '1')
if args.use_nightly:
if rocm.version is None or float(rocm.version) >= 6.3: # assume the latest if version check fails
torch_command = os.environ.get('TORCH_COMMAND', '--upgrade --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/rocm6.3')
elif rocm.version == "6.2": # use rocm 6.2.4 instead of 6.2 as torch+rocm6.2 doesn't exists
torch_command = os.environ.get('TORCH_COMMAND', '--upgrade --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/rocm6.2.4')
else: # oldest rocm version on nightly is 6.1
torch_command = os.environ.get('TORCH_COMMAND', '--upgrade --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/rocm6.1')
else:
if rocm.version is None or float(rocm.version) >= 6.2: # assume the latest if version check fails
# use rocm 6.2.4 instead of 6.2 as torch==2.6.0+rocm6.2 doesn't exists
torch_command = os.environ.get('TORCH_COMMAND', 'torch==2.6.0+rocm6.2.4 torchvision==0.21.0+rocm6.2.4 --index-url https://download.pytorch.org/whl/rocm6.2.4')
elif rocm.version == "6.1":
torch_command = os.environ.get('TORCH_COMMAND', 'torch==2.6.0+rocm6.1 torchvision==0.21.0+rocm6.1 --index-url https://download.pytorch.org/whl/rocm6.1')
elif rocm.version == "6.0":
# lock to 2.4.1 instead of 2.5.1 for performance reasons there are no support for torch 2.6.0 for rocm 6.0
torch_command = os.environ.get('TORCH_COMMAND', 'torch==2.4.1+rocm6.0 torchvision==0.19.1+rocm6.0 --index-url https://download.pytorch.org/whl/rocm6.0')
elif float(rocm.version) < 5.5: # oldest supported version is 5.5
log.warning(f"ROCm: unsupported version={rocm.version}")
log.warning("ROCm: minimum supported version=5.5")
torch_command = os.environ.get('TORCH_COMMAND', 'torch torchvision --index-url https://download.pytorch.org/whl/rocm5.5')
else:
# older rocm (5.7) uses torch 2.3 or older
torch_command = os.environ.get('TORCH_COMMAND', f'torch torchvision --index-url https://download.pytorch.org/whl/rocm{rocm.version}')
if device is not None and rocm.version != "6.2" and rocm.get_blaslt_enabled():
log.debug(f'ROCm hipBLASLt: arch={device.name} available={device.blaslt_supported}')
rocm.set_blaslt_enabled(device.blaslt_supported)
if device is None:
log.debug('ROCm: HSA_OVERRIDE_GFX_VERSION auto config skipped')
else:
gfx_ver = device.get_gfx_version()
if gfx_ver is not None:
os.environ.setdefault('HSA_OVERRIDE_GFX_VERSION', gfx_ver)
else:
log.warning(f'ROCm: device={device.name} could not auto-detect HSA version')
ts('amd', t_start)
return torch_command
def install_ipex(torch_command):
t_start = time.time()
check_python(supported_minors=[9, 10, 11, 12], reason='IPEX backend requires a Python version between 3.9 and 3.12')
args.use_ipex = True # pylint: disable=attribute-defined-outside-init
log.info('IPEX: 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 os.environ.get("SYCL_CACHE_PERSISTENT", None) is None:
os.environ.setdefault('SYCL_CACHE_PERSISTENT', '1') # Jit cache
if os.environ.get("PYTORCH_ENABLE_XPU_FALLBACK", None) is None:
os.environ.setdefault('PYTORCH_ENABLE_XPU_FALLBACK', '1') # CPU fallback for unsupported ops
if os.environ.get('IPEX_FORCE_ATTENTION_SLICE', None) is None:
# XPU PyTorch doesn't support Flash Atten or Memory Atten yet so Battlemage goes OOM without this
os.environ.setdefault('IPEX_FORCE_ATTENTION_SLICE', '1')
# FP64 emulation causes random UR Errors
#if os.environ.get("OverrideDefaultFP64Settings", None) is None:
# os.environ.setdefault('OverrideDefaultFP64Settings', '1')
#if os.environ.get("IGC_EnableDPEmulation", None) is None:
# os.environ.setdefault('IGC_EnableDPEmulation', '1') # FP64 Emulation
if args.use_nightly:
torch_command = os.environ.get('TORCH_COMMAND', '--upgrade --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/xpu')
else:
torch_command = os.environ.get('TORCH_COMMAND', 'torch==2.6.0+xpu torchvision==0.21.0+xpu --index-url https://download.pytorch.org/whl/xpu')
ts('ipex', t_start)
return torch_command
def install_openvino(torch_command):
t_start = time.time()
check_python(supported_minors=[9, 10, 11, 12], reason='OpenVINO backend requires a Python version between 3.9 and 3.12')
log.info('OpenVINO: selected')
if sys.platform == 'darwin':
torch_command = os.environ.get('TORCH_COMMAND', 'torch==2.6.0 torchvision==0.21.0')
else:
torch_command = os.environ.get('TORCH_COMMAND', 'torch==2.6.0+cpu torchvision==0.21.0+cpu --index-url https://download.pytorch.org/whl/cpu')
install(os.environ.get('OPENVINO_COMMAND', 'openvino==2025.0.0'), 'openvino')
install(os.environ.get('NNCF_COMMAND', 'nncf==2.15.0'), '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')
ts('openvino', t_start)
return torch_command
def install_torch_addons():
t_start = time.time()
triton_command = os.environ.get('TRITON_COMMAND', None)
if triton_command is not None and triton_command != 'skip':
install(triton_command, 'triton', quiet=True)
xformers_package = os.environ.get('XFORMERS_PACKAGE', '--pre xformers') if opts.get('cross_attention_optimization', '') == 'xFormers' or args.use_xformers else 'none'
if 'xformers' in xformers_package:
try:
install(xformers_package, ignore=True, no_deps=True)
import torch # pylint: disable=unused-import
import xformers # pylint: disable=unused-import
except Exception as e:
log.debug(f'xFormers cannot install: {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==0.2.6', 'optimum-quanto')
if not args.experimental:
uninstall('wandb', quiet=True)
ts('addons', t_start)
# check cudnn
def check_cudnn():
import site
site_packages = site.getsitepackages()
cuda_path = os.environ.get('CUDA_PATH', '')
if cuda_path == '':
for site_package in site_packages:
folder = os.path.join(site_package, 'nvidia', 'cudnn', 'lib')
if os.path.exists(folder) and folder not in cuda_path:
cuda_path = f"{cuda_path}:{folder}"
if cuda_path.startswith(':'):
cuda_path = cuda_path[1:]
os.environ['CUDA_PATH'] = cuda_path
# check torch version
def check_torch():
t_start = time.time()
if args.skip_torch:
log.info('Torch: skip 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} directml={args.use_directml} openvino={args.use_openvino} zluda={args.use_zluda}')
# 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)
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('DirectML: selected')
torch_command = os.environ.get('TORCH_COMMAND', 'torch==2.4.1 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.warning('Torch: CPU-only version installed')
torch_command = os.environ.get('TORCH_COMMAND', 'torch torchvision')
if 'torch' in torch_command and not args.version:
if not installed('torch'):
log.info(f'Torch: download and install in progress... cmd="{torch_command}"')
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'Torch cannot load: {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("ROCm: failed to preload HSA runtime")
if args.version:
return
if not args.skip_all:
install_torch_addons()
check_cudnn()
if args.profile:
pr.disable()
print_profile(pr, 'Torch')
ts('torch', t_start)
# check modified files
def check_modified_files():
t_start = time.time()
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
ts('files', t_start)
# install required packages
def install_packages():
t_start = time.time()
if args.profile:
pr = cProfile.Profile()
pr.enable()
# log.info('Install: verifying packages')
clip_package = os.environ.get('CLIP_PACKAGE', "git+https://github.com/openai/CLIP.git")
install(clip_package, 'clip', quiet=True)
install('open-clip-torch', no_deps=True, 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)
if args.profile:
pr.disable( )
print_profile(pr, 'Packages')
ts('packages', t_start)
# 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"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:
errors.append(f'ext: {os.path.basename(folder)}')
if len(result.stderr) > 0:
txt = txt + '\n' + result.stderr.decode(encoding="utf8", errors="ignore")
log.error(f'Extension installer error: {path_installer}')
log.debug(txt)
except Exception as e:
log.error(f'Extension installer exception: {e}')
# get list of all enabled extensions
def list_extensions_folder(folder, quiet=False):
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: path="{folder}" enabled={enabled_extensions}')
return enabled_extensions