{ stdenv , lib , buildPythonPackage , fetchFromGitHub , pythonOlder , pytestCheckHook , pytest_7 , setuptools , numpy , packaging , psutil , pyyaml , safetensors , torch , config , cudatoolkit , evaluate , parameterized , transformers }: buildPythonPackage rec { pname = "accelerate"; version = "0.27.0"; pyproject = true; disabled = pythonOlder "3.7"; src = fetchFromGitHub { owner = "huggingface"; repo = pname; rev = "refs/tags/v${version}"; hash = "sha256-7rnI8UXyAql8fLMKoSRrWzVw5CnyYVE2o6dJOzSgWxw="; }; nativeBuildInputs = [ setuptools ]; propagatedBuildInputs = [ numpy packaging psutil pyyaml safetensors torch ]; nativeCheckInputs = [ evaluate parameterized (pytestCheckHook.override { pytest = pytest_7; }) transformers ]; preCheck = '' export HOME=$(mktemp -d) export PATH=$out/bin:$PATH '' + lib.optionalString config.cudaSupport '' export TRITON_PTXAS_PATH="${cudatoolkit}/bin/ptxas" ''; pytestFlagsArray = [ "tests" ]; disabledTests = [ # try to download data: "FeatureExamplesTests" "test_infer_auto_device_map_on_t0pp" # require socket communication "test_explicit_dtypes" "test_gated" "test_invalid_model_name" "test_invalid_model_name_transformers" "test_no_metadata" "test_no_split_modules" "test_remote_code" "test_transformers_model" # set the environment variable, CC, which conflicts with standard environment "test_patch_environment_key_exists" ] ++ lib.optionals (stdenv.isLinux && stdenv.isAarch64) [ # usual aarch64-linux RuntimeError: DataLoader worker (pid(s) <...>) exited unexpectedly "CheckpointTest" ] ++ lib.optionals (!config.cudaSupport) [ # requires ptxas from cudatoolkit, which is unfree "test_dynamo_extract_model" ] ++ lib.optionals (stdenv.isDarwin && stdenv.isx86_64) [ # RuntimeError: torch_shm_manager: execl failed: Permission denied "CheckpointTest" ]; disabledTestPaths = lib.optionals (!(stdenv.isLinux && stdenv.isx86_64)) [ # numerous instances of torch.multiprocessing.spawn.ProcessRaisedException: "tests/test_cpu.py" "tests/test_grad_sync.py" "tests/test_metrics.py" "tests/test_scheduler.py" ]; pythonImportsCheck = [ "accelerate" ]; meta = with lib; { homepage = "https://huggingface.co/docs/accelerate"; description = "A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision"; changelog = "https://github.com/huggingface/accelerate/releases/tag/v${version}"; license = licenses.asl20; maintainers = with maintainers; [ bcdarwin ]; mainProgram = "accelerate"; }; }