1{ 2 lib, 3 buildPythonPackage, 4 fetchFromGitHub, 5 linear-operator, 6 scikit-learn, 7 setuptools, 8 setuptools-scm, 9 wheel, 10 torch, 11 pytestCheckHook, 12}: 13 14buildPythonPackage rec { 15 pname = "gpytorch"; 16 version = "1.11"; 17 format = "pyproject"; 18 19 src = fetchFromGitHub { 20 owner = "cornellius-gp"; 21 repo = pname; 22 rev = "v${version}"; 23 hash = "sha256-cpkfjx5G/4duL1Rr4nkHTHi03TDcYbcx3bKP2Ny7Ijo="; 24 }; 25 26 nativeBuildInputs = [ 27 setuptools 28 setuptools-scm 29 wheel 30 ]; 31 32 propagatedBuildInputs = [ 33 linear-operator 34 scikit-learn 35 torch 36 ]; 37 38 checkInputs = [ pytestCheckHook ]; 39 40 pythonImportsCheck = [ "gpytorch" ]; 41 42 disabledTests = [ 43 # AssertionError on number of warnings emitted 44 "test_deprecated_methods" 45 # flaky numerical tests 46 "test_classification_error" 47 "test_matmul_matrix_broadcast" 48 # https://github.com/cornellius-gp/gpytorch/issues/2396 49 "test_t_matmul_matrix" 50 ]; 51 52 meta = with lib; { 53 description = "A highly efficient and modular implementation of Gaussian Processes, with GPU acceleration"; 54 homepage = "https://gpytorch.ai"; 55 license = licenses.mit; 56 maintainers = with maintainers; [ veprbl ]; 57 }; 58}