casperhansen
commited on
Reverse caching PR (#1115)
Browse files
src/axolotl/cli/preprocess.py
CHANGED
@@ -7,7 +7,6 @@ from pathlib import Path
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import fire
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import transformers
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from colorama import Fore
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-
from datasets import disable_caching
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from axolotl.cli import (
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check_accelerate_default_config,
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@@ -29,15 +28,10 @@ def do_cli(config: Path = Path("examples/"), **kwargs):
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check_accelerate_default_config()
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check_user_token()
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parser = transformers.HfArgumentParser((PreprocessCliArgs))
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parsed_cli_args,
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return_remaining_strings=True
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)
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-
if (
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remaining_args.get("disable_caching") is not None
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and remaining_args["disable_caching"]
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):
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disable_caching()
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if not parsed_cfg.dataset_prepared_path:
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msg = (
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Fore.RED
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import fire
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import transformers
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from colorama import Fore
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from axolotl.cli import (
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check_accelerate_default_config,
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check_accelerate_default_config()
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check_user_token()
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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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if not parsed_cfg.dataset_prepared_path:
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msg = (
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Fore.RED
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src/axolotl/cli/train.py
CHANGED
@@ -6,7 +6,6 @@ from pathlib import Path
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import fire
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import transformers
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-
from datasets import disable_caching
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from axolotl.cli import (
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check_accelerate_default_config,
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@@ -29,15 +28,10 @@ def do_cli(config: Path = Path("examples/"), **kwargs):
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check_accelerate_default_config()
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check_user_token()
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parser = transformers.HfArgumentParser((TrainerCliArgs))
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parsed_cli_args,
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return_remaining_strings=True
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)
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-
if (
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remaining_args.get("disable_caching") is not None
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and remaining_args["disable_caching"]
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):
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disable_caching()
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if parsed_cfg.rl:
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dataset_meta = load_rl_datasets(cfg=parsed_cfg, cli_args=parsed_cli_args)
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else:
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import fire
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import transformers
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from axolotl.cli import (
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check_accelerate_default_config,
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check_accelerate_default_config()
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check_user_token()
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parser = transformers.HfArgumentParser((TrainerCliArgs))
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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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if parsed_cfg.rl:
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dataset_meta = load_rl_datasets(cfg=parsed_cfg, cli_args=parsed_cli_args)
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else:
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