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[project]
name = "pytorch_optimizer"
version = "3.10.1"
description = "optimizer & lr scheduler & objective function collections in PyTorch"
license = { text = "Apache-2.0" }
readme = "README.md"
authors = [{ name = "kozistr", email = "kozistr@gmail.com" }]
maintainers = [{ name = "kozistr", email = "kozistr@gmail.com" }]
homepage = "https://github.com/kozistr/pytorch_optimizer"
repository = "https://github.com/kozistr/pytorch_optimizer"
documentation = "https://pytorch-optimizers.readthedocs.io/en/latest"
keywords = [
"pytorch", "deep-learning", "optimizer", "lr scheduler", "A2Grad", "Alice", "ASGD", "AccSGD", "AdaBelief",
"AdaBound", "AdaDelta", "AdaFactor", "AdaGC", "AdaMax", "AdaMuon", "AdamG", "AdaMod", "AdaNorm", "AdaPNM",
"AdaSmooth", "AdEMAMix", "Simplified-AdEMAMix", "ADOPT", "AdaHessian", "Adai", "Adalite", "AdaLomo", "AdamMini",
"AdamP", "AdamS", "Adan", "AggMo", "Aida", "AliG", "Amos", "Apollo", "APOLLO", "AvaGrad", "bSAM", "BCOS", "CAME",
"Conda", "DAdaptAdaGrad", "DAdaptAdam", "DAdaptAdan", "DAdaptSGD", "DAdaptLion", "DeMo", "DiffGrad", "EmoFact",
"EmoLynx", "EmoNavi", "EmoNeco", "EmoZeal", "EXAdam", "FAdam", "Fira", "FOCUS", "FriendlySAM", "Fromage", "FTRL",
"GaLore", "Grams", "Gravity", "GrokFast", "GSAM", "Kate", "Lamb", "LaProp", "LARS", "Lion", "LoRARite", "LOMO", "Lookahead", "Magma",
"EmoLynx", "EmoNavi", "EmoNeco", "EmoZeal", "EXAdam", "FAdam", "Fira", "FlashAdamW", "FOCUS", "FriendlySAM",
"Conda", "DAdaptAdaGrad", "DAdaptAdam", "DAdaptAdan", "DAdaptSGD", "DAdaptLion", "DeMo", "DiffGrad", "DualAdam",
"EmoFact", "EmoLynx", "EmoNavi", "EmoNeco", "EmoZeal", "EXAdam", "FAdam", "Fira", "FOCUS", "FriendlySAM", "Fromage",
"FTRL", "GaLore", "Grams", "Gravity", "GrokFast", "GSAM", "Kate", "Lamb", "LaProp", "LARS", "Lion", "LOMO", "Lookahead",
"MADGRAD", "MARS", "MSVAG", "Muno", "Nero", "NovoGrad", "OrthoGrad", "PAdam", "PCGrad", "PID", "PNM", "Prodigy",
"PSGD", "QHAdam", "QHM", "RACS", "RAdam", "Ranger", "Ranger21", "RotoGrad", "SAM", "GCSAM", "LookSAM",
"ScheduleFreeSGD", "ScheduleFreeAdamW", "ScheduleFreeRAdam", "SCION", "SGDP", "Shampoo", "ScalableShampoo", "SGDW",
"SignSGD", "SM3", "SOAP", "SopihaH", "SPAM", "StableSPAM", "SPlus", "SRMM", "StableAdamW", "SWATS", "TAM", "Tiger",
"TRAC", "VSGD", "WSAM", "Yogi", "BCE", "BCEFocal", "Focal", "FocalCosine", "SoftF1", "Dice", "LDAM", "Jaccard",
"Bi-Tempered", "Tversky", "FocalTversky", "LovaszHinge", "bitsandbytes", "WSD", "QGaLore",
]
classifiers = [
"License :: OSI Approved :: Apache Software License",
"Development Status :: 5 - Production/Stable",
"Intended Audience :: Education",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
"Programming Language :: Python :: 3.14",
"Operating System :: OS Independent",
"Topic :: Scientific/Engineering",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Software Development",
"Topic :: Software Development :: Libraries",
"Topic :: Software Development :: Libraries :: Python Modules",
]
requires-python = ">=3.8"
dependencies = [
'numpy>1.24.4; python_version >= "3.9"',
'numpy<=1.24.4; python_version < "3.9"',
'torch>=1.10,<2.5; python_version < "3.9"',
'torch>=1.10,<2.9; python_version >= "3.9" and python_version < "3.10"',
'torch>=1.10; python_version >= "3.10"',
]
[dependency-groups]
dev = [
'ruff>=0.16,<0.17',
'pyright==1.1.408',
'pytest<9; python_version < "3.10"',
'pytest>=9,<10; python_version >= "3.10"',
'pytest-cov<6; python_version < "3.9"',
'pytest-cov>=7,<8; python_version >= "3.9"',
]
[tool.uv]
exclude-newer = "7 days ago"
[tool.uv.sources]
torch = [
{ index = "pytorch-cpu" },
]
[[tool.uv.index]]
name = "pytorch-cpu"
url = "https://download.pytorch.org/whl/cpu"
explicit = true
[tool.ruff]
src = ["pytorch_optimizer", "tests", "examples"]
target-version = "py312"
line-length = 119
exclude = [
".git",
".github",
".idea",
".ipynb_checkpoints",
".pytest_cache",
".ruff_cache",
"assets",
"dist",
"docs",
".venv",
"__pypackages__",
]
[tool.ruff.lint]
select = [
"A", "B", "C4", "D", "E", "F", "G", "I", "N", "S", "T", "ISC", "ICN", "W", "INP", "PIE", "T20", "RET", "SIM",
"TID", "ARG", "ERA", "RUF", "YTT", "PL", "Q", "TD", "TC", "SLOT", "RSE", "PT",
]
ignore = [
"B905",
"D100", "D102", "D104", "D105", "D107", "D203", "D213",
"PLR0913", "PLR2004", "PLW2901",
"Q003", "ARG002",
"TD003", "TC002", "TC006", "PT011",
]
fixable = ["ALL"]
unfixable = ["F401"]
dummy-variable-rgx = "^(_+|(_+[a-zA-Z0-9_]*[a-zA-Z0-9]+?))$"
flake8-quotes.docstring-quotes = "double"
flake8-quotes.inline-quotes = "single"
[tool.ruff.lint.extend-per-file-ignores]
"examples/visualize_optimizers.py" = ["D103", "D400", "D415"]
"{tests,examples,scripts}/*.py" = ["D", "S101", "T201"]
"{examples,scripts}/*.py" = ["INP001"]
"**/__init__.py" = ["F401"]
"hubconf.py" = ["D", "INP001"]
[tool.ruff.lint.isort]
combine-as-imports = false
detect-same-package = true
force-sort-within-sections = false
known-first-party = ["pytorch_optimizer"]
[tool.ruff.lint.pylint]
max-statements = 60
max-branches = 17
max-positional-args = 23
[tool.ruff.format]
quote-style = "single"
[tool.pyright]
include = ["pytorch_optimizer", "examples"]
exclude = [
"./pytorch_optimizer/optimizer/adam_mini.py",
"./pytorch_optimizer/optimizer/demo.py",
"./pytorch_optimizer/optimizer/rotograd.py",
]
reportArgumentType = false
reportAttributeAccessIssue = false
reportCallIssue = false
reportIncompatibleMethodOverride = false
reportIncompatibleVariableOverride = false
reportMissingImports = false
reportOptionalMemberAccess = false
pythonVersion = "3.12"
pythonPlatform = "Linux"
[tool.pytest.ini_options]
testpaths = "tests"
addopts = "-p no:pastebin -p no:nose -p no:doctest --disable-warnings --cov=pytorch_optimizer --cov-report=xml"
[tool.coverage.run]
omit = [
"./pytorch_optimizer/optimizer/adam_mini.py",
"./pytorch_optimizer/optimizer/demo.py",
"./pytorch_optimizer/optimizer/rotograd.py",
]
[tool.hatch.build.targets.wheel.force-include]
"pytorch_optimizer/py.typed" = "pytorch_optimizer/py.typed"
[tool.hatch.build.targets.sdist.force-include]
"pytorch_optimizer/py.typed" = "pytorch_optimizer/py.typed"
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"