91 lines
3.0 KiB
Python
91 lines
3.0 KiB
Python
# Copyright (c) Alibaba, Inc. and its affiliates.
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import unittest
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from federatedscope.core.auxiliaries.data_builder import get_data
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from federatedscope.core.auxiliaries.utils import setup_seed
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from federatedscope.core.auxiliaries.logging import update_logger
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from federatedscope.core.configs.config import global_cfg
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from federatedscope.core.auxiliaries.runner_builder import get_runner
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from federatedscope.core.auxiliaries.worker_builder import get_server_cls, get_client_cls
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class FEMNISTTest(unittest.TestCase):
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def setUp(self):
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print(('Testing %s.%s' % (type(self).__name__, self._testMethodName)))
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def set_config_femnist(self, cfg):
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backup_cfg = cfg.clone()
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import torch
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cfg.use_gpu = torch.cuda.is_available()
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cfg.eval.freq = 10
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cfg.eval.metrics = ['acc', 'loss_regular']
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cfg.federate.mode = 'standalone'
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cfg.train.local_update_steps = 5
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cfg.federate.total_round_num = 20
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cfg.federate.sample_client_num = 5
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cfg.federate.client_num = 10
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cfg.federate.method = "Ditto"
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cfg.personalization.regular_weight = 0.1
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# test in epoch mode
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# cfg.train.local_update_steps = 1
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# cfg.train.batch_or_epoch = 'epoch'
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# cfg.personalization.local_update_steps = 1
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cfg.data.root = 'test_data/'
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cfg.data.type = 'femnist'
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cfg.data.splits = [0.6, 0.2, 0.2]
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cfg.data.batch_size = 10
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cfg.data.subsample = 0.05
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cfg.data.transform = [['ToTensor'],
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[
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'Normalize', {
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'mean': [0.9637],
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'std': [0.1592]
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}
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]]
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cfg.model.type = 'convnet2'
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cfg.model.hidden = 2048
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cfg.model.out_channels = 62
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cfg.train.optimizer.lr = 0.001
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cfg.train.optimizer.weight_decay = 0.0
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cfg.grad.grad_clip = 5.0
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cfg.criterion.type = 'CrossEntropyLoss'
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cfg.trainer.type = 'cvtrainer'
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cfg.seed = 123
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return backup_cfg
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def test_femnist_standalone(self):
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init_cfg = global_cfg.clone()
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backup_cfg = self.set_config_femnist(init_cfg)
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setup_seed(init_cfg.seed)
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update_logger(init_cfg, True)
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data, modified_cfg = get_data(init_cfg.clone())
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init_cfg.merge_from_other_cfg(modified_cfg)
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self.assertIsNotNone(data)
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Fed_runner = get_runner(data=data,
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server_class=get_server_cls(init_cfg),
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client_class=get_client_cls(init_cfg),
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config=init_cfg.clone())
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self.assertIsNotNone(Fed_runner)
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test_best_results = Fed_runner.run()
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print(test_best_results)
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init_cfg.merge_from_other_cfg(backup_cfg)
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self.assertLess(
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test_best_results["client_summarized_weighted_avg"]
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['test_avg_loss'], 10)
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if __name__ == '__main__':
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unittest.main()
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