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pyproject.toml
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pyproject.toml
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# Package ######################################################################
[build-system]
# Sync with project.dependencies
requires = ["setuptools", "torch >= 1.13", "numpy", "pybind11 >= 2.10.1"]
build-backend = "setuptools.build_meta"
[project]
name = "torchopt"
description = "An efficient library for differentiable optimization for PyTorch."
readme = "README.md"
# Change this if wheels for `torch` is available
# Search "requires-python" and update all corresponding items
requires-python = ">= 3.8"
authors = [
{ name = "TorchOpt Contributors" },
{ name = "Jie Ren", email = "[email protected]" },
{ name = "Xidong Feng", email = "[email protected]" },
{ name = "Bo Liu", email = "[email protected]" },
{ name = "Xuehai Pan", email = "[email protected]" },
]
license = { text = "Apache License, Version 2.0" }
keywords = [
"PyTorch",
"functorch",
"JAX",
"Meta-Learning",
"Optimizer",
"Differentiable Optimizer",
"Functional Programming",
]
classifiers = [
"Development Status :: 4 - Beta",
"License :: OSI Approved :: Apache Software License",
# Sync with requires-python
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Operating System :: Microsoft :: Windows",
"Operating System :: POSIX :: Linux",
"Operating System :: MacOS",
"Environment :: GPU",
"Environment :: GPU :: NVIDIA CUDA",
"Intended Audience :: Developers",
"Intended Audience :: Education",
"Intended Audience :: Science/Research",
"Topic :: Scientific/Engineering",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
]
dependencies = [
# See also build-system.requires and project.requires-python
"torch >= 1.13",
"optree >= 0.4.1",
"numpy",
"graphviz",
"typing-extensions >= 4.0.0",
]
dynamic = ["version"]
[project.urls]
Homepage = "https://github.com/metaopt/torchopt"
Repository = "https://github.com/metaopt/torchopt"
Documentation = "https://torchopt.readthedocs.io"
"Bug Report" = "https://github.com/metaopt/torchopt/issues"
[project.optional-dependencies]
lint = [
"isort",
"black[jupyter] >= 22.6.0",
"pylint[spelling] >= 2.15.0",
"mypy >= 0.990",
"flake8",
"flake8-bugbear",
"flake8-comprehensions",
"flake8-docstrings",
"flake8-pyi",
"flake8-simplify",
"ruff",
"doc8",
"pydocstyle[toml]",
"pyenchant",
"cpplint",
"pre-commit",
]
test = [
"pytest",
"pytest-cov",
"pytest-xdist",
"jax[cpu] >= 0.3; platform_system != 'Windows'",
"jaxopt; platform_system != 'Windows'",
"optax; platform_system != 'Windows'",
]
[tool.setuptools]
include-package-data = true
[tool.setuptools.packages.find]
include = ["torchopt", "torchopt.*"]
[tool.setuptools.package-data]
torchopt = ['*.so', '*.pyd']
# Wheel builder ################################################################
# Reference: https://cibuildwheel.readthedocs.io
[tool.cibuildwheel]
archs = ["auto64"]
build = "*manylinux*"
skip = "pp* *musllinux*"
build-frontend = "pip"
build-verbosity = 3
environment.USE_FP16 = "ON"
environment.CUDACXX = "/usr/local/cuda/bin/nvcc"
environment.TORCH_CUDA_ARCH_LIST = "Common"
environment.DEFAULT_CUDA_VERSION = "11.7"
environment.DEFAULT_TEST_TORCH_SPECS = "cpu cu116"
environment-pass = ["CUDA_VERSION", "TEST_TORCH_SPECS"]
container-engine = "docker"
test-extras = ["test"]
[tool.cibuildwheel.linux]
before-all = """
CUDA_VERSION="${CUDA_VERSION:-"${DEFAULT_CUDA_VERSION}"}"
if [[ "${CUDA_VERSION}" == "None" || "${CUDA_VERSION}" == "none" ]]; then
sed -i -E "s/__version__\\s*=\\s*.*$/\\0 + '+cpu'/" torchopt/version.py
else
CUDA_VERSION="$(echo "${CUDA_VERSION}" | cut -d"." -f-2)"
CUDA_PKG_SUFFIX="$(echo "${CUDA_VERSION}" | tr "." "-")"
echo "CUDA_VERSION=${CUDA_VERSION}"
yum-config-manager --add-repo https://developer.download.nvidia.com/compute/cuda/repos/rhel7/x86_64/cuda-rhel7.repo
yum clean all
yum install -y nvidia-driver-latest-libs "cuda-minimal-build-${CUDA_PKG_SUFFIX}"
fi
echo "cat torchopt/version.py"; cat torchopt/version.py
touch .first-python
"""
repair-wheel-command = """
python -m pip install -r requirements.txt
SITE_PACKAGES="$(python -c 'print(__import__("sysconfig").get_path("purelib"))')"
TORCH_LIB_PATH="${SITE_PACKAGES}/torch/lib"
(
export LD_LIBRARY_PATH="${TORCH_LIB_PATH}:/usr/local/cuda/lib64:/usr/local/cuda/targets/x86_64-linux/lib/stubs${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}"
echo "ls ${TORCH_LIB_PATH}"; ls -lh "${TORCH_LIB_PATH}"
python -m pip install --force-reinstall git+https://github.com/XuehaiPan/auditwheel.git@torchopt
python -m auditwheel lddtree "{wheel}"
python -m auditwheel repair --no-copy-site-libs --wheel-dir="{dest_dir}" "{wheel}"
)
"""
test-command = """
SITE_PACKAGES="$(python -c 'print(__import__("sysconfig").get_path("purelib"))')"
TORCH_LIB_PATH="${SITE_PACKAGES}/torch/lib"
echo "LD_LIBRARY_PATH='${LD_LIBRARY_PATH}'"
echo "ls ${TORCH_LIB_PATH}"; ls -lh "${TORCH_LIB_PATH}"
find "${SITE_PACKAGES}/torchopt" -name "*.so" -print0 |
xargs -0 -I '{}' bash -c "echo 'ldd {}'; ldd '{}'; echo 'patchelf --print-rpath {}'; patchelf --print-rpath '{}'"
make -C "{project}" test || exit 1
TORCH_VERSION="$(python -c 'print(__import__("torch").__version__.partition("+")[0])')"
if [[ -f .first-python ]]; then
TEST_TORCH_SPECS="${TEST_TORCH_SPECS:-"${DEFAULT_TEST_TORCH_SPECS}"}"
for spec in ${TEST_TORCH_SPECS}; do
python -m pip uninstall -y torch
export PIP_EXTRA_INDEX_URL="https://download.pytorch.org/whl/${spec}"
echo "PIP_EXTRA_INDEX_URL='${PIP_EXTRA_INDEX_URL}'"
python -m pip install "torch==${TORCH_VERSION}"
echo "ls ${TORCH_LIB_PATH}"; ls -lh "${TORCH_LIB_PATH}"
find "${SITE_PACKAGES}/torchopt" -name "*.so" -print0 |
xargs -0 -I '{}' bash -c "echo 'ldd {}'; ldd '{}'; echo 'patchelf --print-rpath {}'; patchelf --print-rpath '{}'"
make -C "{project}" test || exit 1
done
rm -f .first-python
fi
rm -rf ~/.pip/cache ~/.cache/pip
"""
# Linter tools #################################################################
[tool.black]
safe = true
line-length = 100
skip-string-normalization = true
# Sync with requires-python
target-version = ["py38", "py39", "py310", "py311"]
[tool.isort]
atomic = true
profile = "black"
src_paths = ["torchopt", "examples", "tests"]
extra_standard_library = ["typing_extensions"]
indent = 4
line_length = 100
lines_after_imports = 2
multi_line_output = 3
[tool.mypy]
# Sync with requires-python
python_version = 3.8
pretty = true
show_error_codes = true
show_error_context = true
show_traceback = true
allow_redefinition = true
check_untyped_defs = true
disallow_incomplete_defs = false
disallow_untyped_defs = false
ignore_missing_imports = true
no_implicit_optional = true
strict_equality = true
strict_optional = true
warn_no_return = true
warn_redundant_casts = true
warn_unreachable = true
warn_unused_configs = true
warn_unused_ignores = true
[tool.pydocstyle]
convention = "google"
[tool.doc8]
max-line-length = 500
[tool.codespell]
ignore-words = "docs/source/spelling_wordlist.txt"
[tool.ruff]
# Sync with requires-python
target-version = "py38"
line-length = 100
show-source = true
src = ["torchopt", "tests"]
extend-exclude = ["examples"]
select = [
"E", "W", # pycodestyle
"F", # pyflakes
"UP", # pyupgrade
"ANN", # flake8-annotations
"S", # flake8-bandit
"BLE", # flake8-blind-except
"B", # flake8-bugbear
"COM", # flake8-commas
"C4", # flake8-comprehensions
"EXE", # flake8-executable
"ISC", # flake8-implicit-str-concat
"PIE", # flake8-pie
"PYI", # flake8-pyi
"Q", # flake8-quotes
"RSE", # flake8-raise
"RET", # flake8-return
"SIM", # flake8-simplify
"TID", # flake8-tidy-imports
"RUF", # ruff
]
ignore = [
# E501: line too long
# W505: doc line too long
# too long docstring due to long example blocks
"E501",
"W505",
# ANN101: missing type annotation for `self` in method
# ANN102: missing type annotation for `cls` in classmethod
"ANN101",
"ANN102",
# ANN401: dynamically typed expressions (typing.Any) are disallowed
"ANN401",
# S101: use of `assert` detected
# internal use and may never raise at runtime
"S101",
# PLR0402: use from {module} import {name} in lieu of alias
# use alias for import convention (e.g., `import torch.nn as nn`)
"PLR0402",
]
typing-modules = ["torchopt.typing"]
[tool.ruff.per-file-ignores]
"__init__.py" = [
"F401", # unused-import
]
"torchopt/pytree.py" = [
"F401", # unused-import
"F403", # import-star
"F405", # import-star-usage
]
"setup.py" = [
"ANN", # flake8-annotations
]
"tests/**/*.py" = [
"ANN", # flake8-annotations
"S", # flake8-bandit
"BLE", # flake8-blind-except
]
"tests/test_import.py" = [
"B018", # useless-expression
"F401", # unused-import
"F811", # redefined-while-unused
]
[tool.ruff.flake8-annotations]
allow-star-arg-any = true
[tool.ruff.flake8-quotes]
docstring-quotes = "double"
multiline-quotes = "double"
inline-quotes = "single"
[tool.ruff.flake8-tidy-imports]
ban-relative-imports = "all"
[tool.ruff.pylint]
allow-magic-value-types = ["int", "str", "float"]
[tool.pytest.ini_options]
filterwarnings = [
"error",
'ignore:Explicitly requested dtype float64 requested in .* is not available, and will be truncated to dtype float32\.:UserWarning',
'ignore:jax\.numpy\.DeviceArray is deprecated\. Use jax\.Array\.:DeprecationWarning',
'ignore:.*functorch.*deprecate.*:UserWarning',
]