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Code Issues Pull Requests Actions 3 Packages Projects Releases Wiki Activity

CLI cleanup and documentation (#2244)

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* CLI init refactor

* fix

* cleanup and (partial) docs

* Adding documentation and continuing cleanup (in progress)

* remove finetune.py script

* continued cleanup and documentation

* pytest fixes

* review comments

* fix

* Fix

* typing fixes

* make sure the batch dataset patcher for multipack is always loaded when handling datasets

* review comments

* fix

---------

Co-authored-by: Dan Saunders <dan@axolotl.ai>
Co-authored-by: Wing Lian <wing@axolotl.ai>
This commit is contained in:
Dan Saunders
2025-01-13 12:55:29 -05:00
committed by GitHub
parent f89e962119
commit 1ed4de73b6
60 changed files with 1269 additions and 1259 deletions
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12
tests/e2e/integrations/test_cut_cross_entropy.py
View File

@@ -4,8 +4,8 @@ Simple end-to-end test for Cut Cross Entropy integration
import pytest
from axolotl.cli import load_datasets
from axolotl.common.cli import TrainerCliArgs
from axolotl.cli.args import TrainerCliArgs
from axolotl.common.datasets import load_datasets
from axolotl.train import train
from axolotl.utils import get_pytorch_version
from axolotl.utils.config import normalize_config, prepare_plugins
@@ -64,9 +64,9 @@ class TestCutCrossEntropyIntegration:
major, minor, _ = get_pytorch_version()
if (major, minor) < (2, 4):
with pytest.raises(ImportError):
train(cfg=cfg, cli_args=cli_args, dataset_meta=dataset_meta)
train(cfg=cfg, dataset_meta=dataset_meta)
else:
train(cfg=cfg, cli_args=cli_args, dataset_meta=dataset_meta)
train(cfg=cfg, dataset_meta=dataset_meta)
check_model_output_exists(temp_dir, cfg)
@pytest.mark.parametrize(
@@ -92,7 +92,7 @@ class TestCutCrossEntropyIntegration:
major, minor, _ = get_pytorch_version()
if (major, minor) < (2, 4):
with pytest.raises(ImportError):
train(cfg=cfg, cli_args=cli_args, dataset_meta=dataset_meta)
train(cfg=cfg, dataset_meta=dataset_meta)
else:
train(cfg=cfg, cli_args=cli_args, dataset_meta=dataset_meta)
train(cfg=cfg, dataset_meta=dataset_meta)
check_model_output_exists(temp_dir, cfg)

8
tests/e2e/integrations/test_liger.py
View File

@@ -4,8 +4,8 @@ Simple end-to-end test for Liger integration
from e2e.utils import require_torch_2_4_1
from axolotl.cli import load_datasets
from axolotl.common.cli import TrainerCliArgs
from axolotl.cli.args import TrainerCliArgs
from axolotl.common.datasets import load_datasets
from axolotl.train import train
from axolotl.utils.config import normalize_config, prepare_plugins
from axolotl.utils.dict import DictDefault
@@ -60,7 +60,7 @@ class LigerIntegrationTestCase:
cli_args = TrainerCliArgs()
dataset_meta = load_datasets(cfg=cfg, cli_args=cli_args)
train(cfg=cfg, cli_args=cli_args, dataset_meta=dataset_meta)
train(cfg=cfg, dataset_meta=dataset_meta)
check_model_output_exists(temp_dir, cfg)
@require_torch_2_4_1
@@ -105,5 +105,5 @@ class LigerIntegrationTestCase:
cli_args = TrainerCliArgs()
dataset_meta = load_datasets(cfg=cfg, cli_args=cli_args)
train(cfg=cfg, cli_args=cli_args, dataset_meta=dataset_meta)
train(cfg=cfg, dataset_meta=dataset_meta)
check_model_output_exists(temp_dir, cfg)