nixpkgs/pkgs/development/python-modules/optimum/default.nix

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{ lib
, buildPythonPackage
, fetchFromGitHub
, pythonOlder
, coloredlogs
, datasets
, evaluate
, h5py
, huggingface-hub
, numpy
, onnx
, onnxruntime
, packaging
, protobuf
, sympy
, tensorflow
, tf2onnx
, timm
, torch
, transformers
}:
buildPythonPackage rec {
pname = "optimum";
version = "1.11.1";
format = "setuptools";
disabled = pythonOlder "3.7";
src = fetchFromGitHub {
owner = "huggingface";
repo = "optimum";
rev = "refs/tags/v${version}";
hash = "sha256-J0QcHmR2hVd/Ygi7QFtsObwx/Sm3DCwU+DojzXHokYU=";
};
propagatedBuildInputs = [
coloredlogs
datasets
huggingface-hub
numpy
packaging
sympy
torch
transformers
] ++ transformers.optional-dependencies.sentencepiece;
passthru.optional-dependencies = {
onnxruntime = [
onnx
onnxruntime
datasets
evaluate
protobuf
];
exporters = [
onnx
onnxruntime
timm
];
exporters-tf = [
tensorflow
tf2onnx
onnx
onnxruntime
timm
h5py
numpy
];
diffusers = [
# diffusers
];
intel = [
# optimum-intel
];
openvino = [
# optimum-intel
]; # ++ optimum-intel.optional-dependencies.openvino;
nncf = [
# optimum-intel
]; # ++ optimum-intel.optional-dependencies.nncf;
neural-compressor = [
# optimum-intel
]; # ++ optimum-intel.optional-dependencies.neural-compressor;
graphcore = [
# optimum-graphcore
];
habana = [
transformers
# optimum-habana
];
neuron = [
# optimum-neuron
]; # ++ optimum-neuron.optional-dependencies.neuron;
neuronx = [
# optimum-neuron
]; # ++ optimum-neuron.optional-dependencies.neuronx;
furiosa = [
# optimum-furiosa
];
};
# almost all tests try to connect to https://huggingface.co
doCheck = false;
pythonImportsCheck = [ "optimum" ];
meta = with lib; {
description = "Accelerate training and inference of 🤗 Transformers and 🤗 Diffusers with easy to use hardware optimization tools";
homepage = "https://github.com/huggingface/optimum";
changelog = "https://github.com/huggingface/optimum/releases/tag/${src.rev}";
license = licenses.asl20;
maintainers = with maintainers; [ natsukium ];
};
}