finish examples 2 and 3
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@@ -1,9 +1,13 @@
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import logging
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import os.path as osp
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import random
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from datetime import datetime
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from pathlib import Path
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import hydra
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import numpy as np
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import torch
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from omegaconf import DictConfig
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def get_safe_torch_device(cfg_device: str, log: bool = False) -> torch.device:
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@@ -63,3 +67,29 @@ def format_big_number(num):
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num /= divisor
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return num
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def _relative_path_between(path1: Path, path2: Path) -> Path:
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"""Returns path1 relative to path2."""
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path1 = path1.absolute()
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path2 = path2.absolute()
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try:
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return path1.relative_to(path2)
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except ValueError: # most likely because path1 is not a subpath of path2
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common_parts = Path(osp.commonpath([path1, path2])).parts
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return Path(
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"/".join([".."] * (len(path2.parts) - len(common_parts)) + list(path1.parts[len(common_parts) :]))
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)
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def init_hydra_config(config_path: str, overrides: list[str] | None = None) -> DictConfig:
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"""Initialize a Hydra config given only the path to the relevant config file.
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For config resolution, it is assumed that the config file's parent is the Hydra config dir.
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"""
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# Hydra needs a path relative to this file.
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hydra.initialize(
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str(_relative_path_between(Path(config_path).absolute().parent, Path(__file__).absolute().parent))
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)
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cfg = hydra.compose(Path(config_path).stem, overrides)
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return cfg
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