# Copyright (c) Alibaba, Inc. and its affiliates. import unittest from federatedscope.core.auxiliaries.data_builder import get_data 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 from federatedscope.core.auxiliaries.worker_builder import get_server_cls, get_client_cls class MFTest(unittest.TestCase): def setUp(self): print(('Testing %s.%s' % (type(self).__name__, self._testMethodName))) def set_config_movielens1m(self, cfg): backup_cfg = cfg.clone() import torch cfg.use_gpu = torch.cuda.is_available() cfg.early_stop_patience = 100 cfg.eval.best_res_update_round_wise_key = "test_avg_loss" cfg.eval.freq = 5 cfg.eval.metrics = [] cfg.federate.mode = 'standalone' cfg.train.local_update_steps = 20 cfg.federate.total_round_num = 50 cfg.federate.client_num = 5 cfg.data.root = 'test_data/' cfg.data.type = 'vflmovielens1m' cfg.dataloader.type = 'mf' cfg.dataloader.batch_size = 32 cfg.model.type = 'VMFNet' cfg.model.hidden = 20 cfg.train.optimizer.lr = 1. cfg.train.optimizer.weight_decay = 0.0 cfg.criterion.type = 'MSELoss' cfg.trainer.type = 'mftrainer' cfg.seed = 123 return backup_cfg def test_mf_standalone(self): init_cfg = global_cfg.clone() backup_cfg = self.set_config_movielens1m(init_cfg) setup_seed(init_cfg.seed) update_logger(init_cfg, True) data, modified_cfg = get_data(init_cfg.clone()) init_cfg.merge_from_other_cfg(modified_cfg) 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) self.assertLess( test_results["client_summarized_weighted_avg"]["test_avg_loss"], 50) if __name__ == '__main__': unittest.main()