Skip to content

Instantly share code, notes, and snippets.

@cpcloud

cpcloud/flake.lock

Created December 18, 2022 18:07
Show Gist options
  • Save cpcloud/2393fa7c9aa4b254a65ed4223f172946 to your computer and use it in GitHub Desktop.
Save cpcloud/2393fa7c9aa4b254a65ed4223f172946 to your computer and use it in GitHub Desktop.
Download ZIP
torch wheel build with poetry2nix; nixos compat and hacks around broken nvidia install behavior
Raw
flake.lock
{
"nodes": {
"flake-utils": {
"locked": {
"lastModified": 1667395993,
"narHash": "sha256-nuEHfE/LcWyuSWnS8t12N1wc105Qtau+/OdUAjtQ0rA=",
"owner": "numtide",
"repo": "flake-utils",
"rev": "5aed5285a952e0b949eb3ba02c12fa4fcfef535f",
"type": "github"
},
"original": {
"owner": "numtide",
"repo": "flake-utils",
"type": "github"
}
},
"nixpkgs": {
"locked": {
"lastModified": 1671381543,
"narHash": "sha256-K61nvf+PEVd/IZjsvq9TYxZfo1LkyTPD9ReaYIDeFaM=",
"owner": "NixOS",
"repo": "nixpkgs",
"rev": "c2d23d1de3b0984a4f0528717e4136ecc91fb79e",
"type": "github"
},
"original": {
"owner": "NixOS",
"repo": "nixpkgs",
"type": "github"
}
},
"poetry2nix": {
"inputs": {
"flake-utils": [
"flake-utils"
],
"nixpkgs": [
"nixpkgs"
]
},
"locked": {
"lastModified": 1671378039,
"narHash": "sha256-ezwTRw2H0gWBpO1V3g9W5W663DBVW3HShLuUUYDZvtQ=",
"owner": "cpcloud",
"repo": "poetry2nix",
"rev": "ab2005333fcbe34099721c5105abd62edd294c11",
"type": "github"
},
"original": {
"owner": "cpcloud",
"ref": "rollup",
"repo": "poetry2nix",
"type": "github"
}
},
"root": {
"inputs": {
"flake-utils": "flake-utils",
"nixpkgs": "nixpkgs",
"poetry2nix": "poetry2nix"
}
}
},
"root": "root",
"version": 7
}
Raw
flake.nix
{
description = "Application packaged using poetry2nix";
inputs.flake-utils.url = "github:numtide/flake-utils";
inputs.nixpkgs.url = "github:NixOS/nixpkgs";
inputs.poetry2nix = {
url = "github:cpcloud/poetry2nix/rollup";
inputs = {
nixpkgs.follows = "nixpkgs";
flake-utils.follows = "flake-utils";
};
};
outputs = { self, nixpkgs, flake-utils, poetry2nix }: flake-utils.lib.eachDefaultSystem (system:
let
pkgs = import nixpkgs {
inherit system;
overlays = [ poetry2nix.overlay ];
};
customOverrides = self: super: {
nvidia-cudnn-cu11 = super.nvidia-cudnn-cu11.overridePythonAttrs (attrs: {
nativeBuildInputs = attrs.nativeBuildInputs or [ ] ++ [ pkgs.autoPatchelfHook ];
preFixup = ''
addAutoPatchelfSearchPath "${self.nvidia-cublas-cu11}/${self.python.sitePackages}/nvidia/cublas/lib"
'';
postFixup = ''
rm -r $out/${self.python.sitePackages}/nvidia/{__pycache__,__init__.py}
'';
propagatedBuildInputs = attrs.propagatedBuildInputs or [ ] ++ [
self.nvidia-cublas-cu11
];
});
nvidia-cuda-nvrtc-cu11 = super.nvidia-cuda-nvrtc-cu11.overridePythonAttrs (_: {
postFixup = ''
rm -r $out/${self.python.sitePackages}/nvidia/{__pycache__,__init__.py}
'';
});
torch = super.torch.overridePythonAttrs (attrs: {
nativeBuildInputs = attrs.nativeBuildInputs or [ ] ++ [
pkgs.autoPatchelfHook
pkgs.cudaPackages.autoAddOpenGLRunpathHook
];
buildInputs = attrs.buildInputs or [ ] ++ [
self.nvidia-cudnn-cu11
self.nvidia-cuda-nvrtc-cu11
self.nvidia-cuda-runtime-cu11
];
postInstall = ''
addAutoPatchelfSearchPath "${self.nvidia-cublas-cu11}/${self.python.sitePackages}/nvidia/cublas/lib"
addAutoPatchelfSearchPath "${self.nvidia-cudnn-cu11}/${self.python.sitePackages}/nvidia/cudnn/lib"
addAutoPatchelfSearchPath "${self.nvidia-cuda-nvrtc-cu11}/${self.python.sitePackages}/nvidia/cuda_nvrtc/lib"
'';
});
};
env = pkgs.poetry2nix.mkPoetryEnv {
projectDir = ./.;
preferWheels = true;
overrides = pkgs.poetry2nix.overrides.withDefaults customOverrides;
python = pkgs.python310;
};
in
{
devShells.default = pkgs.mkShell {
buildInputs = [ pkgs.poetry env ];
};
packages.env = env;
}
);
}
Raw
poetry.lock
# This file is automatically @generated by Poetry and should not be changed by hand.
[[package]]
name = "numpy"
version = "1.23.5"
description = "NumPy is the fundamental package for array computing with Python."
category = "main"
optional = false
python-versions = ">=3.8"
files = [
{file = "numpy-1.23.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:9c88793f78fca17da0145455f0d7826bcb9f37da4764af27ac945488116efe63"},
{file = "numpy-1.23.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e9f4c4e51567b616be64e05d517c79a8a22f3606499941d97bb76f2ca59f982d"},
{file = "numpy-1.23.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7903ba8ab592b82014713c491f6c5d3a1cde5b4a3bf116404e08f5b52f6daf43"},
{file = "numpy-1.23.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5e05b1c973a9f858c74367553e236f287e749465f773328c8ef31abe18f691e1"},
{file = "numpy-1.23.5-cp310-cp310-win32.whl", hash = "sha256:522e26bbf6377e4d76403826ed689c295b0b238f46c28a7251ab94716da0b280"},
{file = "numpy-1.23.5-cp310-cp310-win_amd64.whl", hash = "sha256:dbee87b469018961d1ad79b1a5d50c0ae850000b639bcb1b694e9981083243b6"},
{file = "numpy-1.23.5-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:ce571367b6dfe60af04e04a1834ca2dc5f46004ac1cc756fb95319f64c095a96"},
{file = "numpy-1.23.5-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:56e454c7833e94ec9769fa0f86e6ff8e42ee38ce0ce1fa4cbb747ea7e06d56aa"},
{file = "numpy-1.23.5-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5039f55555e1eab31124a5768898c9e22c25a65c1e0037f4d7c495a45778c9f2"},
{file = "numpy-1.23.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:58f545efd1108e647604a1b5aa809591ccd2540f468a880bedb97247e72db387"},
{file = "numpy-1.23.5-cp311-cp311-win32.whl", hash = "sha256:b2a9ab7c279c91974f756c84c365a669a887efa287365a8e2c418f8b3ba73fb0"},
{file = "numpy-1.23.5-cp311-cp311-win_amd64.whl", hash = "sha256:0cbe9848fad08baf71de1a39e12d1b6310f1d5b2d0ea4de051058e6e1076852d"},
{file = "numpy-1.23.5-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:f063b69b090c9d918f9df0a12116029e274daf0181df392839661c4c7ec9018a"},
{file = "numpy-1.23.5-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:0aaee12d8883552fadfc41e96b4c82ee7d794949e2a7c3b3a7201e968c7ecab9"},
{file = "numpy-1.23.5-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:92c8c1e89a1f5028a4c6d9e3ccbe311b6ba53694811269b992c0b224269e2398"},
{file = "numpy-1.23.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d208a0f8729f3fb790ed18a003f3a57895b989b40ea4dce4717e9cf4af62c6bb"},
{file = "numpy-1.23.5-cp38-cp38-win32.whl", hash = "sha256:06005a2ef6014e9956c09ba07654f9837d9e26696a0470e42beedadb78c11b07"},
{file = "numpy-1.23.5-cp38-cp38-win_amd64.whl", hash = "sha256:ca51fcfcc5f9354c45f400059e88bc09215fb71a48d3768fb80e357f3b457e1e"},
{file = "numpy-1.23.5-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:8969bfd28e85c81f3f94eb4a66bc2cf1dbdc5c18efc320af34bffc54d6b1e38f"},
{file = "numpy-1.23.5-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:a7ac231a08bb37f852849bbb387a20a57574a97cfc7b6cabb488a4fc8be176de"},
{file = "numpy-1.23.5-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bf837dc63ba5c06dc8797c398db1e223a466c7ece27a1f7b5232ba3466aafe3d"},
{file = "numpy-1.23.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:33161613d2269025873025b33e879825ec7b1d831317e68f4f2f0f84ed14c719"},
{file = "numpy-1.23.5-cp39-cp39-win32.whl", hash = "sha256:af1da88f6bc3d2338ebbf0e22fe487821ea4d8e89053e25fa59d1d79786e7481"},
{file = "numpy-1.23.5-cp39-cp39-win_amd64.whl", hash = "sha256:09b7847f7e83ca37c6e627682f145856de331049013853f344f37b0c9690e3df"},
{file = "numpy-1.23.5-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:abdde9f795cf292fb9651ed48185503a2ff29be87770c3b8e2a14b0cd7aa16f8"},
{file = "numpy-1.23.5-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f9a909a8bae284d46bbfdefbdd4a262ba19d3bc9921b1e76126b1d21c3c34135"},
{file = "numpy-1.23.5-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:01dd17cbb340bf0fc23981e52e1d18a9d4050792e8fb8363cecbf066a84b827d"},
{file = "numpy-1.23.5.tar.gz", hash = "sha256:1b1766d6f397c18153d40015ddfc79ddb715cabadc04d2d228d4e5a8bc4ded1a"},
]
[[package]]
name = "nvidia-cublas-cu11"
version = "11.10.3.66"
description = "CUBLAS native runtime libraries"
category = "main"
optional = false
python-versions = ">=3"
files = [
{file = "nvidia_cublas_cu11-11.10.3.66-py3-none-manylinux1_x86_64.whl", hash = "sha256:d32e4d75f94ddfb93ea0a5dda08389bcc65d8916a25cb9f37ac89edaeed3bded"},
{file = "nvidia_cublas_cu11-11.10.3.66-py3-none-win_amd64.whl", hash = "sha256:8ac17ba6ade3ed56ab898a036f9ae0756f1e81052a317bf98f8c6d18dc3ae49e"},
]
[package.dependencies]
setuptools = "*"
wheel = "*"
[[package]]
name = "nvidia-cuda-nvrtc-cu11"
version = "11.7.99"
description = "NVRTC native runtime libraries"
category = "main"
optional = false
python-versions = ">=3"
files = [
{file = "nvidia_cuda_nvrtc_cu11-11.7.99-2-py3-none-manylinux1_x86_64.whl", hash = "sha256:9f1562822ea264b7e34ed5930567e89242d266448e936b85bc97a3370feabb03"},
{file = "nvidia_cuda_nvrtc_cu11-11.7.99-py3-none-manylinux1_x86_64.whl", hash = "sha256:f7d9610d9b7c331fa0da2d1b2858a4a8315e6d49765091d28711c8946e7425e7"},
{file = "nvidia_cuda_nvrtc_cu11-11.7.99-py3-none-win_amd64.whl", hash = "sha256:f2effeb1309bdd1b3854fc9b17eaf997808f8b25968ce0c7070945c4265d64a3"},
]
[package.dependencies]
setuptools = "*"
wheel = "*"
[[package]]
name = "nvidia-cuda-runtime-cu11"
version = "11.7.99"
description = "CUDA Runtime native Libraries"
category = "main"
optional = false
python-versions = ">=3"
files = [
{file = "nvidia_cuda_runtime_cu11-11.7.99-py3-none-manylinux1_x86_64.whl", hash = "sha256:cc768314ae58d2641f07eac350f40f99dcb35719c4faff4bc458a7cd2b119e31"},
{file = "nvidia_cuda_runtime_cu11-11.7.99-py3-none-win_amd64.whl", hash = "sha256:bc77fa59a7679310df9d5c70ab13c4e34c64ae2124dd1efd7e5474b71be125c7"},
]
[package.dependencies]
setuptools = "*"
wheel = "*"
[[package]]
name = "nvidia-cudnn-cu11"
version = "8.5.0.96"
description = "cuDNN runtime libraries"
category = "main"
optional = false
python-versions = ">=3"
files = [
{file = "nvidia_cudnn_cu11-8.5.0.96-2-py3-none-manylinux1_x86_64.whl", hash = "sha256:402f40adfc6f418f9dae9ab402e773cfed9beae52333f6d86ae3107a1b9527e7"},
{file = "nvidia_cudnn_cu11-8.5.0.96-py3-none-manylinux1_x86_64.whl", hash = "sha256:71f8111eb830879ff2836db3cccf03bbd735df9b0d17cd93761732ac50a8a108"},
]
[package.dependencies]
setuptools = "*"
wheel = "*"
[[package]]
name = "setuptools"
version = "65.6.3"
description = "Easily download, build, install, upgrade, and uninstall Python packages"
category = "main"
optional = false
python-versions = ">=3.7"
files = [
{file = "setuptools-65.6.3-py3-none-any.whl", hash = "sha256:57f6f22bde4e042978bcd50176fdb381d7c21a9efa4041202288d3737a0c6a54"},
{file = "setuptools-65.6.3.tar.gz", hash = "sha256:a7620757bf984b58deaf32fc8a4577a9bbc0850cf92c20e1ce41c38c19e5fb75"},
]
[package.extras]
docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-hoverxref (<2)", "sphinx-inline-tabs", "sphinx-notfound-page (==0.8.3)", "sphinx-reredirects", "sphinxcontrib-towncrier"]
testing = ["build[virtualenv]", "filelock (>=3.4.0)", "flake8 (<5)", "flake8-2020", "ini2toml[lite] (>=0.9)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pip (>=19.1)", "pip-run (>=8.8)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)", "pytest-perf", "pytest-timeout", "pytest-xdist", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"]
testing-integration = ["build[virtualenv]", "filelock (>=3.4.0)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pytest", "pytest-enabler", "pytest-xdist", "tomli", "virtualenv (>=13.0.0)", "wheel"]
[[package]]
name = "torch"
version = "1.13.1"
description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
category = "main"
optional = false
python-versions = ">=3.7.0"
files = [
{file = "torch-1.13.1-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:fd12043868a34a8da7d490bf6db66991108b00ffbeecb034228bfcbbd4197143"},
{file = "torch-1.13.1-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:d9fe785d375f2e26a5d5eba5de91f89e6a3be5d11efb497e76705fdf93fa3c2e"},
{file = "torch-1.13.1-cp310-cp310-win_amd64.whl", hash = "sha256:98124598cdff4c287dbf50f53fb455f0c1e3a88022b39648102957f3445e9b76"},
{file = "torch-1.13.1-cp310-none-macosx_10_9_x86_64.whl", hash = "sha256:393a6273c832e047581063fb74335ff50b4c566217019cc6ace318cd79eb0566"},
{file = "torch-1.13.1-cp310-none-macosx_11_0_arm64.whl", hash = "sha256:0122806b111b949d21fa1a5f9764d1fd2fcc4a47cb7f8ff914204fd4fc752ed5"},
{file = "torch-1.13.1-cp311-cp311-manylinux1_x86_64.whl", hash = "sha256:22128502fd8f5b25ac1cd849ecb64a418382ae81dd4ce2b5cebaa09ab15b0d9b"},
{file = "torch-1.13.1-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:76024be052b659ac1304ab8475ab03ea0a12124c3e7626282c9c86798ac7bc11"},
{file = "torch-1.13.1-cp37-cp37m-manylinux2014_aarch64.whl", hash = "sha256:ea8dda84d796094eb8709df0fcd6b56dc20b58fdd6bc4e8d7109930dafc8e419"},
{file = "torch-1.13.1-cp37-cp37m-win_amd64.whl", hash = "sha256:2ee7b81e9c457252bddd7d3da66fb1f619a5d12c24d7074de91c4ddafb832c93"},
{file = "torch-1.13.1-cp37-none-macosx_10_9_x86_64.whl", hash = "sha256:0d9b8061048cfb78e675b9d2ea8503bfe30db43d583599ae8626b1263a0c1380"},
{file = "torch-1.13.1-cp37-none-macosx_11_0_arm64.whl", hash = "sha256:f402ca80b66e9fbd661ed4287d7553f7f3899d9ab54bf5c67faada1555abde28"},
{file = "torch-1.13.1-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:727dbf00e2cf858052364c0e2a496684b9cb5aa01dc8a8bc8bbb7c54502bdcdd"},
{file = "torch-1.13.1-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:df8434b0695e9ceb8cc70650afc1310d8ba949e6db2a0525ddd9c3b2b181e5fe"},
{file = "torch-1.13.1-cp38-cp38-win_amd64.whl", hash = "sha256:5e1e722a41f52a3f26f0c4fcec227e02c6c42f7c094f32e49d4beef7d1e213ea"},
{file = "torch-1.13.1-cp38-none-macosx_10_9_x86_64.whl", hash = "sha256:33e67eea526e0bbb9151263e65417a9ef2d8fa53cbe628e87310060c9dcfa312"},
{file = "torch-1.13.1-cp38-none-macosx_11_0_arm64.whl", hash = "sha256:eeeb204d30fd40af6a2d80879b46a7efbe3cf43cdbeb8838dd4f3d126cc90b2b"},
{file = "torch-1.13.1-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:50ff5e76d70074f6653d191fe4f6a42fdbe0cf942fbe2a3af0b75eaa414ac038"},
{file = "torch-1.13.1-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:2c3581a3fd81eb1f0f22997cddffea569fea53bafa372b2c0471db373b26aafc"},
{file = "torch-1.13.1-cp39-cp39-win_amd64.whl", hash = "sha256:0aa46f0ac95050c604bcf9ef71da9f1172e5037fdf2ebe051962d47b123848e7"},
{file = "torch-1.13.1-cp39-none-macosx_10_9_x86_64.whl", hash = "sha256:6930791efa8757cb6974af73d4996b6b50c592882a324b8fb0589c6a9ba2ddaf"},
{file = "torch-1.13.1-cp39-none-macosx_11_0_arm64.whl", hash = "sha256:e0df902a7c7dd6c795698532ee5970ce898672625635d885eade9976e5a04949"},
]
[package.dependencies]
nvidia-cublas-cu11 = {version = "11.10.3.66", markers = "platform_system == \"Linux\""}
nvidia-cuda-nvrtc-cu11 = {version = "11.7.99", markers = "platform_system == \"Linux\""}
nvidia-cuda-runtime-cu11 = {version = "11.7.99", markers = "platform_system == \"Linux\""}
nvidia-cudnn-cu11 = {version = "8.5.0.96", markers = "platform_system == \"Linux\""}
typing-extensions = "*"
[package.extras]
opt-einsum = ["opt-einsum (>=3.3)"]
[[package]]
name = "typing-extensions"
version = "4.4.0"
description = "Backported and Experimental Type Hints for Python 3.7+"
category = "main"
optional = false
python-versions = ">=3.7"
files = [
{file = "typing_extensions-4.4.0-py3-none-any.whl", hash = "sha256:16fa4864408f655d35ec496218b85f79b3437c829e93320c7c9215ccfd92489e"},
{file = "typing_extensions-4.4.0.tar.gz", hash = "sha256:1511434bb92bf8dd198c12b1cc812e800d4181cfcb867674e0f8279cc93087aa"},
]
[[package]]
name = "wheel"
version = "0.38.4"
description = "A built-package format for Python"
category = "main"
optional = false
python-versions = ">=3.7"
files = [
{file = "wheel-0.38.4-py3-none-any.whl", hash = "sha256:b60533f3f5d530e971d6737ca6d58681ee434818fab630c83a734bb10c083ce8"},
{file = "wheel-0.38.4.tar.gz", hash = "sha256:965f5259b566725405b05e7cf774052044b1ed30119b5d586b2703aafe8719ac"},
]
[package.extras]
test = ["pytest (>=3.0.0)"]
[metadata]
lock-version = "2.0"
python-versions = "^3.10"
content-hash = "df6e8d7cfcecd76d5296593ebf0949c13a0f05bfd38ceab01d8a822fbbb2710e"
Raw
pyproject.toml
[tool.poetry]
name = "test"
version = "0.1.0"
description = ""
authors = ["Manolo <manolo@manolo.com>"]
readme = "README.md"
[tool.poetry.dependencies]
python = "^3.10"
torch = "^1.13.0"
numpy = "^1.23.5"
nvidia-cudnn-cu11 = "8.5.0.96"
nvidia-cuda-nvrtc-cu11 = "11.7.99"
nvidia-cuda-runtime-cu11 = "11.7.99"
[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment