depot/third_party/nixpkgs/pkgs/development/python-modules/pytorch-metric-learning/default.nix
Default email b6d97fd731 Project import generated by Copybara.
GitOrigin-RevId: be0b453d7c7eee2090962c9a83749b024ff9acf5
2020-12-25 14:55:36 +01:00

57 lines
1.3 KiB
Nix

{ lib
, buildPythonPackage
, fetchFromGitHub
, isPy27
, numpy
, scikitlearn
, pytestCheckHook
, pytorch
, torchvision
, tqdm
}:
buildPythonPackage rec {
pname = "pytorch-metric-learning";
version = "0.9.95";
disabled = isPy27;
src = fetchFromGitHub {
owner = "KevinMusgrave";
repo = pname;
rev = "v${version}";
sha256 = "1msvs1j3n47762ahm21bnkk2qqabxw8diiyi7s420x4zg24mr23g";
};
propagatedBuildInputs = [
numpy
pytorch
scikitlearn
torchvision
tqdm
];
preCheck = ''
export HOME=$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 ];
};
}