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