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{
lib,
buildPythonPackage,
fetchFromGitHub,
# dependencies
numpy,
lightning-utilities,
packaging,
# buildInputs
torch,
# tests
pytestCheckHook,
pytest-doctestplus,
pytest-xdist,
pytorch-lightning,
scikit-image,
# passthru
torchmetrics,
}:
buildPythonPackage rec {
pname = "torchmetrics";
version = "1.8.2";
pyproject = true;
src = fetchFromGitHub {
owner = "Lightning-AI";
repo = "torchmetrics";
tag = "v${version}";
hash = "sha256-OsU2JpKcbe1AuSIAyZLjDpFdsSk2q3kMGBcNXtIJm3Q=";
};
dependencies = [
numpy
lightning-utilities
packaging
];
# Let the user bring their own instance
buildInputs = [ torch ];
nativeCheckInputs = [
pytestCheckHook
pytest-doctestplus
pytest-xdist
pytorch-lightning
scikit-image
];
# A cyclic dependency in: integrations/test_lightning.py
doCheck = false;
passthru.tests.check = torchmetrics.overridePythonAttrs (_: {
pname = "${pname}-check";
doCheck = true;
# We don't have to install because the only purpose
# of this passthru test is to, well, test.
# This fixes having to set `catchConflicts` to false.
dontInstall = true;
});
disabledTestPaths = [
# These require too many "leftpad-level" dependencies
# Also too cross-dependent
"tests/unittests"
# AttributeError: partially initialized module 'pesq' has no attribute 'pesq' (most likely due to a circular import)
"examples/audio/pesq.py"
# Require internet access
"examples/text/bertscore.py"
"examples/image/clip_score.py"
"examples/text/perplexity.py"
"examples/text/rouge.py"
# A trillion import path mismatch errors
"src/torchmetrics"
];
pythonImportsCheck = [ "torchmetrics" ];
meta = {
description = "Machine learning metrics for distributed, scalable PyTorch applications (used in pytorch-lightning)";
homepage = "https://lightning.ai/docs/torchmetrics/";
changelog = "https://github.com/Lightning-AI/torchmetrics/releases/tag/v${version}";
license = lib.licenses.asl20;
maintainers = with lib.maintainers; [ SomeoneSerge ];
};
}
|
