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