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pyproject.toml
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98 lines (87 loc) · 1.98 KB
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[project]
name = "flash-linear-attention"
dynamic = ["version"]
description = "Fast Triton-based implementations of causal linear attention"
readme = "README.md"
authors = [
{ name = "Songlin Yang", email = "yangsl66@mit.edu" },
{ name = "Yu Zhang", email = "yzhang.cs@outlook.com" },
]
license = { file = "LICENSE" }
classifiers = [
"Programming Language :: Python :: 3",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
]
requires-python = ">=3.10"
dependencies = [
"torch",
"transformers",
"einops",
]
[project.optional-dependencies]
conv1d = ["causal-conv1d>=1.4.0"]
benchmark = ["matplotlib", "datasets>=3.3.0"]
test = ["pytest"]
[project.urls]
Homepage = "https://github.com/fla-org/flash-linear-attention"
Repository = "https://github.com/fla-org/flash-linear-attention"
[build-system]
requires = ["setuptools>=45", "wheel"]
[tool.pytest.ini_options]
log_cli = true
log_cli_level = "INFO"
pythonpath = [
"."
]
[tool.ruff]
target-version = "py310"
line-length = 127
[tool.autopep8]
max-line-length = 127
[tool.ruff.lint]
select = [
"E", # pycodestyle
"F", # Pyflakes
"UP", # pyupgrade
"B", # flake8-bugbear
"SIM", # flake8-simplify
"I", # isort
"C4", # flake8-comprehensions
"TCH", # flake8-type-checking
"T", # flake8-debugger
]
ignore = [
"E501",
"E741",
"B023",
"B006",
"B007",
"B008",
"B028",
"B904",
"B905",
"C408",
"C416",
"C417",
"T201",
"TC002",
"TC003",
"SIM102",
"SIM108",
"SIM118",
"SIM211",
"COM812",
]
extend-select = ["RUF022"]
[tool.ruff.lint.isort]
known-first-party = ["fla"]
force-sort-within-sections = false
[tool.ruff.lint.per-file-ignores]
"__init__.py" = ["F401"]
"fla/utils.py" = ["TCH004"]
"evals/harness.py" = ["I", "TCH"]
"tests/*/*.py" = ["UP030"]
"scripts/*.py" = ["C414"]
"legacy/training/flame/*.py" = ["C408"]