FS-TFP/tests/test_vertical_fl.py

68 lines
2.1 KiB
Python

# 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()