Buckets:
| import yaml | |
| import os | |
| from typing import Dict, Any, Optional | |
| def load_config(config_path: str = "config.yaml") -> Dict[str, Any]: | |
| if not os.path.exists(config_path): | |
| return get_default_config() | |
| with open(config_path, "r") as file: | |
| config = yaml.safe_load(file) | |
| return config | |
| def get_default_config() -> Dict[str, Any]: | |
| return { | |
| "model": { | |
| "neural": { | |
| "embedding_dim": 512, | |
| "hidden_dim": 1024, | |
| "num_layers": 6, | |
| "num_heads": 8, | |
| "dropout": 0.1, | |
| "vocab_size": 10000, | |
| "max_sequence_length": 512, | |
| }, | |
| "geometric": { | |
| "point_embedding_dim": 128, | |
| "relation_embedding_dim": 64, | |
| "max_objects": 100, | |
| "coordinate_precision": 6, | |
| }, | |
| "proof": { | |
| "max_steps": 20, | |
| "beam_width": 5, | |
| "temperature": 0.7, | |
| "top_k": 50, | |
| "top_p": 0.9, | |
| }, | |
| }, | |
| "training": { | |
| "batch_size": 32, | |
| "learning_rate": 1e-4, | |
| "weight_decay": 1e-5, | |
| "warmup_steps": 1000, | |
| "max_epochs": 100, | |
| "gradient_clip_val": 1.0, | |
| "patience": 10, | |
| }, | |
| "solver": { | |
| "strategies": { | |
| "neural": {"enabled": True, "weight": 0.4, "timeout": 30}, | |
| "coordinate": {"enabled": True, "weight": 0.3, "timeout": 20}, | |
| "synthetic": {"enabled": True, "weight": 0.2, "timeout": 25}, | |
| "hybrid": {"enabled": True, "weight": 0.1, "timeout": 45}, | |
| }, | |
| "verification": { | |
| "enabled": True, | |
| "strict_mode": False, | |
| "cross_check": True, | |
| }, | |
| }, | |
| "system": { | |
| "device": "auto", | |
| "num_workers": 4, | |
| "pin_memory": True, | |
| "logging": { | |
| "level": "INFO", | |
| "format": "%(asctime)s - %(name)s - %(levelname)s - %(message)s", | |
| }, | |
| "seed": 42, | |
| "deterministic": True, | |
| }, | |
| "paths": { | |
| "data_dir": "data/", | |
| "results_dir": "results/", | |
| "models_dir": "models/", | |
| "logs_dir": "logs/", | |
| "cache_dir": ".cache/", | |
| }, | |
| } | |
| def save_config(config: Dict[str, Any], config_path: str = "config.yaml"): | |
| config_dir = os.path.dirname(config_path) | |
| if config_dir and not os.path.exists(config_dir): | |
| os.makedirs(config_dir) | |
| with open(config_path, "w") as file: | |
| yaml.dump(config, file, default_flow_style=False, indent=2) | |
Xet Storage Details
- Size:
- 2.77 kB
- Xet hash:
- 66983e78edb7b45b4043228e295e70436f509c8fc9a444368e061ed0f614edcc
·
Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.