116 lines
2.3 KiB
Nix
116 lines
2.3 KiB
Nix
{ lib
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, buildPythonPackage
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, fetchFromGitHub
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, pythonOlder
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, coloredlogs
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, datasets
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, evaluate
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, h5py
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, huggingface-hub
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, numpy
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, onnx
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, onnxruntime
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, packaging
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, protobuf
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, sympy
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, tensorflow
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, tf2onnx
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, timm
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, torch
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, transformers
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}:
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buildPythonPackage rec {
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pname = "optimum";
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version = "1.19.2";
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format = "setuptools";
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disabled = pythonOlder "3.7";
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src = fetchFromGitHub {
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owner = "huggingface";
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repo = "optimum";
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rev = "refs/tags/v${version}";
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hash = "sha256-GYgLh6vlOoVvTvhNPfBT4YEqRhB7gZMqlOuab6maVGU=";
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};
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propagatedBuildInputs = [
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coloredlogs
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datasets
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huggingface-hub
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numpy
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packaging
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sympy
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torch
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transformers
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] ++ transformers.optional-dependencies.sentencepiece;
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passthru.optional-dependencies = {
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onnxruntime = [
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onnx
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onnxruntime
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datasets
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evaluate
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protobuf
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];
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exporters = [
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onnx
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onnxruntime
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timm
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];
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exporters-tf = [
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tensorflow
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tf2onnx
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onnx
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onnxruntime
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timm
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h5py
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numpy
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];
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diffusers = [
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# diffusers
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];
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intel = [
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# optimum-intel
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];
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openvino = [
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# optimum-intel
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]; # ++ optimum-intel.optional-dependencies.openvino;
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nncf = [
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# optimum-intel
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]; # ++ optimum-intel.optional-dependencies.nncf;
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neural-compressor = [
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# optimum-intel
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]; # ++ optimum-intel.optional-dependencies.neural-compressor;
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graphcore = [
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# optimum-graphcore
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];
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habana = [
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transformers
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# optimum-habana
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];
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neuron = [
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# optimum-neuron
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]; # ++ optimum-neuron.optional-dependencies.neuron;
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neuronx = [
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# optimum-neuron
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]; # ++ optimum-neuron.optional-dependencies.neuronx;
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furiosa = [
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# optimum-furiosa
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];
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};
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# almost all tests try to connect to https://huggingface.co
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doCheck = false;
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pythonImportsCheck = [ "optimum" ];
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meta = with lib; {
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description = "Accelerate training and inference of 🤗 Transformers and 🤗 Diffusers with easy to use hardware optimization tools";
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mainProgram = "optimum-cli";
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homepage = "https://github.com/huggingface/optimum";
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changelog = "https://github.com/huggingface/optimum/releases/tag/${src.rev}";
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license = licenses.asl20;
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maintainers = with maintainers; [ natsukium ];
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};
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}
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