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| import os | |
| from mlagents.trainers.exception import UnityTrainerException | |
| from mlagents.trainers.settings import TrainerSettings | |
| from mlagents.trainers.model_saver.torch_model_saver import DEFAULT_CHECKPOINT_NAME | |
| def validate_existing_directories( | |
| output_path: str, resume: bool, force: bool, init_path: str = None | |
| ) -> None: | |
| """ | |
| Validates that if the run_id model exists, we do not overwrite it unless --force is specified. | |
| Throws an exception if resume isn't specified and run_id exists. Throws an exception | |
| if --resume is specified and run-id was not found. | |
| :param model_path: The model path specified. | |
| :param summary_path: The summary path to be used. | |
| :param resume: Whether or not the --resume flag was passed. | |
| :param force: Whether or not the --force flag was passed. | |
| :param init_path: Path to run-id dir to initialize from | |
| """ | |
| output_path_exists = os.path.isdir(output_path) | |
| if output_path_exists: | |
| if not resume and not force: | |
| raise UnityTrainerException( | |
| "Previous data from this run ID was found. " | |
| "Either specify a new run ID, use --resume to resume this run, " | |
| "or use the --force parameter to overwrite existing data." | |
| ) | |
| else: | |
| if resume: | |
| raise UnityTrainerException( | |
| "Previous data from this run ID was not found. " | |
| "Train a new run by removing the --resume flag." | |
| ) | |
| # Verify init path if specified. | |
| if init_path is not None: | |
| if not os.path.isdir(init_path): | |
| raise UnityTrainerException( | |
| "Could not initialize from {}. " | |
| "Make sure models have already been saved with that run ID.".format( | |
| init_path | |
| ) | |
| ) | |
| def setup_init_path( | |
| behaviors: TrainerSettings.DefaultTrainerDict, init_dir: str | |
| ) -> None: | |
| """ | |
| For each behavior, setup full init_path to checkpoint file to initialize policy from | |
| :param behaviors: mapping from behavior_name to TrainerSettings | |
| :param init_dir: Path to run-id dir to initialize from | |
| """ | |
| for behavior_name, ts in behaviors.items(): | |
| if ts.init_path is None: | |
| # set default if None | |
| ts.init_path = os.path.join( | |
| init_dir, behavior_name, DEFAULT_CHECKPOINT_NAME | |
| ) | |
| elif not os.path.dirname(ts.init_path): | |
| # update to full path if just the file name | |
| ts.init_path = os.path.join(init_dir, behavior_name, ts.init_path) | |
| _validate_init_full_path(ts.init_path) | |
| def _validate_init_full_path(init_file: str) -> None: | |
| """ | |
| Validate initialization path to be a .pt file | |
| :param init_file: full path to initialization checkpoint file | |
| """ | |
| if not (os.path.isfile(init_file) and init_file.endswith(".pt")): | |
| raise UnityTrainerException( | |
| f"Could not initialize from {init_file}. file does not exists or is not a `.pt` file" | |
| ) | |