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{
lib,
buildPythonPackage,
fetchFromGitHub,
fetchpatch,
linear-operator,
scikit-learn,
setuptools,
setuptools-scm,
wheel,
torch,
pytestCheckHook,
}:
buildPythonPackage rec {
pname = "gpytorch";
version = "1.11";
format = "pyproject";
src = fetchFromGitHub {
owner = "cornellius-gp";
repo = pname;
rev = "v${version}";
hash = "sha256-cpkfjx5G/4duL1Rr4nkHTHi03TDcYbcx3bKP2Ny7Ijo=";
};
patches = [
(fetchpatch {
# https://github.com/cornellius-gp/gpytorch/pull/2545
name = "scipy-1.14-compatibility.patch";
url = "https://github.com/cornellius-gp/gpytorch/commit/2562be472521b8aec366de2619e3130a96fab982.patch";
excludes = [ "setup.py" ];
hash = "sha256-znOFpN6go2iIxP24VjJLKF3Laxcr4xV/IyP2y36g4QY=";
})
];
nativeBuildInputs = [
setuptools
setuptools-scm
wheel
];
propagatedBuildInputs = [
linear-operator
scikit-learn
torch
];
checkInputs = [ pytestCheckHook ];
pythonImportsCheck = [ "gpytorch" ];
disabledTests = [
# AssertionError on number of warnings emitted
"test_deprecated_methods"
# flaky numerical tests
"test_classification_error"
"test_matmul_matrix_broadcast"
# https://github.com/cornellius-gp/gpytorch/issues/2396
"test_t_matmul_matrix"
];
meta = with lib; {
description = "Highly efficient and modular implementation of Gaussian Processes, with GPU acceleration";
homepage = "https://gpytorch.ai";
license = licenses.mit;
maintainers = with maintainers; [ veprbl ];
};
}
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