Source code for pibrary.wandb

from typing import Optional, Union, Dict, Sequence, List, Any

import wandb


[docs] class WandB: def __new__( cls, job_type: Optional[str] = None, dir: Optional[str] = None, config: Union[Dict, str, None] = None, project: Optional[str] = None, entity: Optional[str] = None, reinit: Optional[bool] = None, tags: Optional[Sequence] = None, group: Optional[str] = None, name: Optional[str] = None, notes: Optional[str] = None, magic: Optional[Union[dict, str, bool]] = None, config_exclude_keys: Optional[List[str]] = None, config_include_keys: Optional[List[str]] = None, anonymous: Optional[str] = None, mode: Optional[str] = None, allow_val_change: Optional[bool] = None, resume: Optional[Union[bool, str]] = None, force: Optional[bool] = None, tensorboard: Optional[bool] = None, sync_tensorboard: Optional[bool] = None, monitor_gym: Optional[bool] = None, save_code: Optional[bool] = None, id: Optional[str] = None, settings: Optional[Dict[str, Any]] = None, ): return wandb.init( job_type=job_type, dir=dir, config=config, project=project, entity=entity, reinit=reinit, tags=tags, group=group, name=name, notes=notes, magic=magic, config_exclude_keys=config_exclude_keys, config_include_keys=config_include_keys, anonymous=anonymous, mode=mode, allow_val_change=allow_val_change, resume=resume, force=force, tensorboard=tensorboard, sync_tensorboard=sync_tensorboard, monitor_gym=monitor_gym, save_code=save_code, id=id, settings=settings, )
if __name__ == "__main__": # Example usage: # wandb.init(project="my-project", entity="my-entity", name="my-run")
[docs] run = WandB( project="my-project", entity="connectwithprakash", dir="./", name="my-run", mode="offiline", )
run.log({"accuracy": 0.9}) print("Run URL:", run.url) print(run.job_type) run.finish()