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{ stdenv
, lib
, buildPythonPackage
, fetchFromGitHub
, pythonOlder
, pytestCheckHook
, setuptools
, numpy
, packaging
, psutil
, pyyaml
, torch
, evaluate
, parameterized
, transformers
}:
buildPythonPackage rec {
pname = "accelerate";
version = "0.19.0";
format = "pyproject";
disabled = pythonOlder "3.7";
src = fetchFromGitHub {
owner = "huggingface";
repo = pname;
rev = "refs/tags/v${version}";
hash = "sha256-gW4wCpkyxoWfxXu8UHZfgopSQhOoPhGgqEqFiHJ+Db4=";
};
nativeBuildInputs = [ setuptools ];
propagatedBuildInputs = [
numpy
packaging
psutil
pyyaml
torch
];
nativeCheckInputs = [
evaluate
parameterized
pytestCheckHook
transformers
];
preCheck = ''
export HOME=$(mktemp -d)
export PATH=$out/bin:$PATH
'';
pytestFlagsArray = [ "tests" ];
disabledTests = [
# try to download data:
"FeatureExamplesTests"
"test_infer_auto_device_map_on_t0pp"
# known failure with Torch>2.0; see https://github.com/huggingface/accelerate/pull/1339:
# (remove for next release)
"test_gradient_sync_cpu_multi"
] ++ lib.optionals (stdenv.isLinux && stdenv.isAarch64) [
# usual aarch64-linux RuntimeError: DataLoader worker (pid(s) <...>) exited unexpectedly
"CheckpointTest"
];
# numerous instances of torch.multiprocessing.spawn.ProcessRaisedException:
doCheck = !stdenv.isDarwin;
pythonImportsCheck = [
"accelerate"
];
meta = with lib; {
homepage = "https://huggingface.co/docs/accelerate";
description = "A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision";
changelog = "https://github.com/huggingface/accelerate/releases/tag/v${version}";
license = licenses.asl20;
maintainers = with maintainers; [ bcdarwin ];
mainProgram = "accelerate";
};
}
|
