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{
lib,
stdenv,
buildPythonPackage,
fetchFromGitHub,
# build-system
setuptools,
setuptools-scm,
# dependencies
jaxtyping,
linear-operator,
mpmath,
scikit-learn,
scipy,
torch,
# tests
pytestCheckHook,
}:
buildPythonPackage rec {
pname = "gpytorch";
version = "1.14.3";
pyproject = true;
src = fetchFromGitHub {
owner = "cornellius-gp";
repo = "gpytorch";
tag = "v${version}";
hash = "sha256-AuWVNAduh2y/sLIJAXg/9YgpFa21d1sbRHlcdG5cpJ8=";
};
build-system = [
setuptools
setuptools-scm
];
dependencies = [
jaxtyping
linear-operator
mpmath
scikit-learn
scipy
torch
];
nativeCheckInputs = [ pytestCheckHook ];
pythonImportsCheck = [ "gpytorch" ];
disabledTests = [
# AssertionError on number of warnings emitted
"test_deprecated_methods"
# flaky numerical tests
"test_classification_error"
"test_matmul_matrix_broadcast"
"test_optimization_optimal_error"
# https://github.com/cornellius-gp/gpytorch/issues/2396
"test_t_matmul_matrix"
];
disabledTestPaths = lib.optionals (stdenv.hostPlatform.isDarwin && stdenv.hostPlatform.isx86_64) [
# Hang forever
"test/examples/test_spectral_mixture_gp_regression.py"
"test/kernels/test_spectral_mixture_kernel.py"
"test/utils/test_nearest_neighbors.py"
"test/variational/test_nearest_neighbor_variational_strategy.py"
];
meta = {
description = "Highly efficient and modular implementation of Gaussian Processes, with GPU acceleration";
homepage = "https://gpytorch.ai";
downloadPage = "https://github.com/cornellius-gp/gpytorch";
changelog = "https://github.com/cornellius-gp/gpytorch/releases/tag/${src.tag}";
license = lib.licenses.mit;
maintainers = with lib.maintainers; [ veprbl ];
};
}
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