refactor: 优化参数传递,清理导入样式
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@@ -6,10 +6,10 @@ from astrai.trainer import *
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def test_callback_integration(base_test_env, random_dataset):
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"""Test that all callbacks are properly integrated"""
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schedule_config = CosineScheduleConfig(warmup_steps=10, total_steps=20)
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optimizer_fn = lambda model: torch.optim.AdamW(model.parameters())
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scheduler_fn = lambda optim: SchedulerFactory.load(optim, schedule_config)
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scheduler_fn = lambda optim: SchedulerFactory.create(
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optim, "cosine", warmup_steps=10, lr_decay_steps=10, min_rate=0.05
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)
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train_config = TrainConfig(
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model=base_test_env["model"],
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