# Copyright (c) Alibaba, Inc. and its affiliates. import unittest from federatedscope.core.auxiliaries.data_builder import get_data from federatedscope.core.auxiliaries.worker_builder import get_client_cls, get_server_cls from federatedscope.core.auxiliaries.utils import setup_seed from federatedscope.core.auxiliaries.logging import update_logger from federatedscope.core.configs.config import global_cfg from federatedscope.core.auxiliaries.runner_builder import get_runner class vFLTest(unittest.TestCase): def setUp(self): print(('Testing %s.%s' % (type(self).__name__, self._testMethodName))) def set_config(self, cfg): backup_cfg = cfg.clone() import torch cfg.use_gpu = torch.cuda.is_available() cfg.federate.mode = 'standalone' cfg.federate.total_round_num = 30 cfg.federate.client_num = 2 cfg.model.type = 'lr' cfg.model.use_bias = False cfg.train.optimizer.lr = 0.05 cfg.data.type = 'synthetic_vfl_data' cfg.data.size = 50 cfg.dataloader.type = 'raw' cfg.vertical.use = True cfg.vertical.key_size = 256 cfg.trainer.type = 'none' cfg.eval.freq = 5 cfg.eval.best_res_update_round_wise_key = "test_loss" return backup_cfg def test_vFL(self): init_cfg = global_cfg.clone() backup_cfg = self.set_config(init_cfg) setup_seed(init_cfg.seed) update_logger(init_cfg, True) data, modified_config = get_data(init_cfg.clone()) init_cfg.merge_from_other_cfg(modified_config) self.assertIsNotNone(data) Fed_runner = get_runner(data=data, server_class=get_server_cls(init_cfg), client_class=get_client_cls(init_cfg), config=init_cfg.clone()) self.assertIsNotNone(Fed_runner) test_results = Fed_runner.run() init_cfg.merge_from_other_cfg(backup_cfg) print(test_results) self.assertGreater(test_results['server_global_eval']['test_acc'], 0.8) if __name__ == '__main__': unittest.main()