46675496a3
* log config * moving text art; adding sensitive value redaction + sorting * revert pre-commit changes * remove none-valued config before dumping * just redact api keys
105 lines
3.4 KiB
Python
105 lines
3.4 KiB
Python
"""CLI to run preprocessing of a dataset."""
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import warnings
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from pathlib import Path
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from typing import Union
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import fire
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import transformers
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from accelerate import init_empty_weights
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from colorama import Fore
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from dotenv import load_dotenv
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from transformers import AutoModelForCausalLM
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from axolotl.cli.args import PreprocessCliArgs
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from axolotl.cli.checks import check_accelerate_default_config, check_user_token
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from axolotl.cli.config import load_cfg
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from axolotl.common.const import DEFAULT_DATASET_PREPARED_PATH
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from axolotl.common.datasets import load_datasets, load_preference_datasets
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from axolotl.integrations.base import PluginManager
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from axolotl.utils.dict import DictDefault
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from axolotl.utils.logging import get_logger
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from axolotl.utils.trainer import disable_datasets_caching
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LOG = get_logger(__name__)
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def do_preprocess(cfg: DictDefault, cli_args: PreprocessCliArgs) -> None:
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"""
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Preprocesses dataset specified in axolotl config.
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Args:
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cfg: Dictionary mapping `axolotl` config keys to values.
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cli_args: Preprocessing-specific CLI arguments.
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"""
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check_accelerate_default_config()
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check_user_token()
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if not cfg.dataset_prepared_path:
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msg = (
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Fore.RED
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+ "preprocess CLI called without dataset_prepared_path set, "
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+ f"using default path: {DEFAULT_DATASET_PREPARED_PATH}"
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+ Fore.RESET
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)
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LOG.warning(msg)
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cfg.dataset_prepared_path = DEFAULT_DATASET_PREPARED_PATH
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with disable_datasets_caching():
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plugin_manager = PluginManager.get_instance()
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if plugin_manager.load_datasets(cfg, preprocess=True):
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pass
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elif cfg.rl:
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load_preference_datasets(cfg=cfg, cli_args=cli_args)
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else:
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load_datasets(cfg=cfg, cli_args=cli_args)
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if cli_args.download:
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model_name = cfg.base_model
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with warnings.catch_warnings():
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# there are a bunch of useless UserWarnings about
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# "copying from a non-meta parameter in the checkpoint to a meta parameter in the current model"
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warnings.simplefilter("ignore")
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with init_empty_weights(include_buffers=True):
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# fmt: off
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try:
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AutoModelForCausalLM.from_pretrained(
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model_name, trust_remote_code=True
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)
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except Exception as exc: # pylint: disable=broad-exception-caught,unused-variable # nosec B110 # noqa F841
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pass
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# fmt: on
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LOG.info(
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Fore.GREEN
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+ f"Success! Preprocessed data path: `dataset_prepared_path: {cfg.dataset_prepared_path}`"
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+ Fore.RESET
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)
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def do_cli(
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config: Union[Path, str] = Path("examples/"),
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**kwargs,
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) -> None:
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"""
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Parses `axolotl` config, CLI args, and calls `do_preprocess`.
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Args:
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config: Path to `axolotl` config YAML file.
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kwargs: Additional keyword arguments to override config file values.
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"""
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# pylint: disable=duplicate-code
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parsed_cfg = load_cfg(config, **kwargs)
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parsed_cfg.is_preprocess = True
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parser = transformers.HfArgumentParser(PreprocessCliArgs)
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parsed_cli_args, _ = parser.parse_args_into_dataclasses(
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return_remaining_strings=True
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)
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do_preprocess(parsed_cfg, parsed_cli_args)
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if __name__ == "__main__":
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load_dotenv()
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fire.Fire(do_cli)
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