71 lines
1.5 KiB
Python
71 lines
1.5 KiB
Python
import os
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from dataclasses import dataclass
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from functools import lru_cache
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from typing import Dict
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import yaml
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@dataclass
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class DataSetConfig:
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num_slices: int
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train_split: float
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seed: int
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modulation_types: list
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val_split: float
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beta: float
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sps: int
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snr_start: int
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snr_stop: int
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snr_step: int
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num_iterations: int
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recording_length: int
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modulation_settings: Dict[str, Dict[str, str]]
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@dataclass
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class TrainingConfig:
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batch_size: int
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epochs: int
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learning_rate: float
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use_gpu: bool
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drop_rate: float
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drop_path_rate: float
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wd: int
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@dataclass
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class AppConfig:
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optimization_style: str
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target_platform: str
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class AppSettings:
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"""
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Application settings,
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to be initialized from
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app.yaml configuration file.
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"""
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def __init__(self, config_file: str):
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# Load the YAML configuration file
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with open(config_file, "r") as f:
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config_data = yaml.safe_load(f)
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# Parse the loaded YAML into dataclass objects
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self.dataset = DataSetConfig(**config_data["dataset"])
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self.training = TrainingConfig(**config_data["training"])
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self.app = AppConfig(**config_data["app"])
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@lru_cache
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def get_app_settings() -> AppSettings:
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"""Return application configuration settings."""
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module_path = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
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config_file = os.path.join(module_path, "conf", "app.yaml")
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return AppSettings(config_file=config_file)
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if __name__ == "__main__":
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s = get_app_settings()
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