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{ stdenv
, lib
, buildPythonPackage
, fetchFromGitHub
, isPy27
, numpy
, scikit-learn
, pytestCheckHook
, torch
, torchvision
, tqdm
, faiss
}:
buildPythonPackage rec {
pname = "pytorch-metric-learning";
version = "2.3.0";
format = "setuptools";
disabled = isPy27;
src = fetchFromGitHub {
owner = "KevinMusgrave";
repo = pname;
rev = "refs/tags/v${version}";
hash = "sha256-eDQQPIyUUEkvpXjWAcyljlFgVlu9is4fPPUTudP7NF4=";
};
propagatedBuildInputs = [
numpy
torch
scikit-learn
torchvision
tqdm
];
preCheck = ''
export HOME=$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
nativeCheckInputs = [
faiss
pytestCheckHook
];
disabledTests = [
# TypeError: setup() missing 1 required positional argument: 'world_size'
"TestDistributedLossWrapper"
# require network access:
"TestInference"
"test_get_nearest_neighbors"
"test_tuplestoweights_sampler"
"test_untrained_indexer"
"test_metric_loss_only"
"test_pca"
# flaky
"test_distributed_classifier_loss_and_miner"
] ++ lib.optionals (stdenv.isLinux && stdenv.isAarch64) [
# RuntimeError: DataLoader worker (pid(s) <...>) exited unexpectedly
"test_global_embedding_space_tester"
"test_with_same_parent_label_tester"
];
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 ];
};
}
|