nixpkgs/pkgs/development/python-modules/pytorch-metric-learning/default.nix

64 lines
1.5 KiB
Nix

{ lib
, buildPythonPackage
, fetchFromGitHub
, isPy27
, numpy
, scikit-learn
, pytestCheckHook
, pytorch
, torchvision
, tqdm
}:
buildPythonPackage rec {
pname = "pytorch-metric-learning";
version = "0.9.99";
disabled = isPy27;
src = fetchFromGitHub {
owner = "KevinMusgrave";
repo = pname;
rev = "v${version}";
sha256 = "1ahs2b7q3hxi6yv4g2fjy7mvl899h56dvlpc2r9301440qsgkdzr";
};
propagatedBuildInputs = [
numpy
pytorch
scikit-learn
torchvision
tqdm
];
preCheck = ''
export HOME=$TMP
export TEST_DEVICE=cpu
export TEST_DTYPES=float32,float64 # half-precision tests fail on CPU
'';
# package only requires `unittest`, but use `pytest` to exclude tests
checkInputs = [ pytestCheckHook ];
disabledTests = [
# requires FAISS (not in Nixpkgs)
"test_accuracy_calculator_and_faiss"
"test_global_embedding_space_tester"
"test_with_same_parent_label_tester"
# require network access:
"test_get_nearest_neighbors"
"test_tuplestoweights_sampler"
"test_untrained_indexer"
"test_metric_loss_only"
"test_pca"
# flaky
"test_distributed_classifier_loss_and_miner"
];
meta = {
description = "Metric learning library for PyTorch";
homepage = "https://github.com/KevinMusgrave/pytorch-metric-learning";
changelog = "https://github.com/KevinMusgrave/pytorch-metric-learning/releases/tag/v${version}";
license = lib.licenses.mit;
maintainers = with lib.maintainers; [ bcdarwin ];
};
}