depot/third_party/nixpkgs/pkgs/development/python-modules/pytorch-metric-learning/default.nix
Default email b41113241d Project import generated by Copybara.
GitOrigin-RevId: ae1dc133ea5f1538d035af41e5ddbc2ebcb67b90
2022-09-22 14:36:57 +02:00

68 lines
1.5 KiB
Nix

{ lib
, buildPythonPackage
, fetchFromGitHub
, isPy27
, numpy
, scikit-learn
, pytestCheckHook
, torch
, torchvision
, tqdm
, faiss
}:
buildPythonPackage rec {
pname = "pytorch-metric-learning";
version = "1.6.2";
disabled = isPy27;
src = fetchFromGitHub {
owner = "KevinMusgrave";
repo = pname;
rev = "refs/tags/v${version}";
sha256 = "sha256-y/KqMqxSzTGsjwtbhHbFK+S4CX6yHC6tR6jdPWUzeGg=";
};
propagatedBuildInputs = [
numpy
torch
scikit-learn
torchvision
tqdm
];
preCheck = ''
export HOME=$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
checkInputs = [
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"
];
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 ];
};
}