depot/third_party/nixpkgs/pkgs/development/python-modules/botorch/default.nix

80 lines
1.7 KiB
Nix

{
lib,
stdenv,
buildPythonPackage,
fetchFromGitHub,
gpytorch,
linear-operator,
multipledispatch,
pyro-ppl,
setuptools,
setuptools-scm,
torch,
scipy,
pytestCheckHook,
}:
buildPythonPackage rec {
pname = "botorch";
version = "0.12.0";
pyproject = true;
src = fetchFromGitHub {
owner = "pytorch";
repo = "botorch";
rev = "refs/tags/v${version}";
hash = "sha256-CKlerCUadObpPq4jQAiFDBOZMHZ4QccAKQz30OFe64E=";
};
build-system = [
setuptools
setuptools-scm
];
dependencies = [
gpytorch
linear-operator
multipledispatch
pyro-ppl
scipy
torch
];
pythonRelaxDeps = [
"gpytorch"
"linear-operator"
];
nativeCheckInputs = [ pytestCheckHook ];
pytestFlagsArray = [
# tests tend to get stuck on busy hosts, increase verbosity to find out
# which specific tests get stuck
"-vvv"
];
disabledTests =
[ "test_all_cases_covered" ]
++ lib.optionals (stdenv.buildPlatform.system == "x86_64-linux") [
# stuck tests on hydra
"test_moo_predictive_entropy_search"
]
++ lib.optionals (stdenv.hostPlatform.isDarwin && stdenv.isAarch64) [
# Numerical error slightly above threshold
# AssertionError: Tensor-likes are not close!
"test_model_list_gpytorch_model"
];
pythonImportsCheck = [ "botorch" ];
# needs lots of undisturbed CPU time or prone to getting stuck
requiredSystemFeatures = [ "big-parallel" ];
meta = {
changelog = "https://github.com/pytorch/botorch/blob/${src.rev}/CHANGELOG.md";
description = "Bayesian Optimization in PyTorch";
homepage = "https://botorch.org";
license = lib.licenses.mit;
maintainers = with lib.maintainers; [ veprbl ];
};
}