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8dd2d88740
* chore(Linter): reformatted code with black * Create black.yaml
53 lines
1.3 KiB
Python
53 lines
1.3 KiB
Python
import pandas as pd
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from config.types import RawConfig
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from typing import Optional
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from utils.helpers import weighted_average
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from training.types import Stats
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def launch_wandb(
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project_name: str, default_config: RawConfig, sweep: bool = False
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) -> Optional[object]:
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from wandb_setup import get_wandb
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wandb = get_wandb()
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if wandb is None:
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raise Exception(
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"Wandb can not be initalized, the environment variable WANDB_API_KEY is missing (can also use .env file)"
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)
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elif sweep:
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wandb.init(project=project_name, config=vars(default_config))
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return wandb
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else:
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wandb.init(project=project_name, config=vars(default_config), reinit=True)
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return wandb
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def override_config_with_wandb_values(
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wandb: Optional[object], raw_config: RawConfig
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) -> RawConfig:
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if wandb is None:
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return raw_config
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wandb_config: dict = wandb.config
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config_dict = vars(raw_config)
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for k in config_dict:
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config_dict[k] = wandb_config[k]
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return RawConfig(**config_dict)
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def send_report_to_wandb(stats: Stats, wandb: Optional[object]):
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if wandb is None:
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return
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run = wandb.run
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run.save()
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for key, value in stats.items():
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run.log({key: value})
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run.finish()
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