33 lines
1.0 KiB
Python
33 lines
1.0 KiB
Python
"""机器学习训练配置示例"""
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import hydra
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from omegaconf import DictConfig
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from rich.console import Console
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from rich.tree import Tree
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console = Console()
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@hydra.main(version_base=None, config_path="conf", config_name="config")
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def train(cfg: DictConfig) -> None:
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console.print("\n[bold green]🤖 机器学习训练配置示例[/bold green]\n")
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tree = Tree("🎯 Training Configuration")
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model_tree = tree.add("[yellow]Model")
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model_tree.add(f"Name: {cfg.model.name}")
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model_tree.add(f"Layers: {cfg.model.layers}")
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optimizer_tree = tree.add("[cyan]Optimizer")
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optimizer_tree.add(f"Name: {cfg.optimizer.name}")
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optimizer_tree.add(f"Learning Rate: {cfg.optimizer.lr}")
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dataset_tree = tree.add("[magenta]Dataset")
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dataset_tree.add(f"Name: {cfg.dataset.name}")
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dataset_tree.add(f"Classes: {cfg.dataset.num_classes}")
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console.print(tree)
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console.print("\n[bold green]✅ 配置加载完成！[/bold green]\n")
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if __name__ == "__main__":
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train()
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