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{ lib
, buildPythonPackage
, fetchFromGitHub
, isPy27
, numpy
, scikitlearn
, pytestCheckHook
, pytorch
, torchvision
, tqdm
}:
buildPythonPackage rec {
pname = "pytorch-metric-learning";
version = "0.9.94";
disabled = isPy27;
src = fetchFromGitHub {
owner = "KevinMusgrave";
repo = pname;
rev = "v${version}";
sha256 = "1i2m651isa6xk3zj8dhzdbmd1bdzl51bh6rxifx6gg22hfa5dj9a";
};
propagatedBuildInputs = [
numpy
pytorch
scikitlearn
torchvision
tqdm
];
preCheck = ''
export HOME=$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"
# require network access:
"test_get_nearest_neighbors"
"test_tuplestoweights_sampler"
"test_untrained_indexer"
];
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 ];
};
}
|
