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make sure to cleanup tmp output_dir for e2e tests

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Wing Lian
2023-11-05 08:02:31 -05:00
parent b2430ce670
commit 0402d19759
6 changed files with 52 additions and 25 deletions
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15
tests/e2e/test_phi.py
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@@ -4,14 +4,15 @@ E2E tests for lora llama
import logging
import os
import tempfile
import unittest
from pathlib import Path
from axolotl.cli import load_datasets
from axolotl.common.cli import TrainerCliArgs
from axolotl.train import train
from axolotl.utils.config import normalize_config
from axolotl.utils.dict import DictDefault
from tests.utils import with_temp_dir
LOG = logging.getLogger("axolotl.tests.e2e")
os.environ["WANDB_DISABLED"] = "true"
@@ -22,7 +23,8 @@ class TestPhi(unittest.TestCase):
Test case for Llama models using LoRA
"""
def test_ft(self):
@with_temp_dir
def test_ft(self, output_dir):
# pylint: disable=duplicate-code
cfg = DictDefault(
{
@@ -52,7 +54,7 @@ class TestPhi(unittest.TestCase):
"num_epochs": 1,
"micro_batch_size": 1,
"gradient_accumulation_steps": 1,
"output_dir": tempfile.mkdtemp(),
"output_dir": output_dir,
"learning_rate": 0.00001,
"optimizer": "adamw_bnb_8bit",
"lr_scheduler": "cosine",
@@ -64,8 +66,10 @@ class TestPhi(unittest.TestCase):
dataset_meta = load_datasets(cfg=cfg, cli_args=cli_args)
train(cfg=cfg, cli_args=cli_args, dataset_meta=dataset_meta)
assert (Path(output_dir) / "pytorch_model.bin").exists()
def test_ft_packed(self):
@with_temp_dir
def test_ft_packed(self, output_dir):
# pylint: disable=duplicate-code
cfg = DictDefault(
{
@@ -95,7 +99,7 @@ class TestPhi(unittest.TestCase):
"num_epochs": 1,
"micro_batch_size": 1,
"gradient_accumulation_steps": 1,
"output_dir": tempfile.mkdtemp(),
"output_dir": output_dir,
"learning_rate": 0.00001,
"optimizer": "adamw_bnb_8bit",
"lr_scheduler": "cosine",
@@ -107,3 +111,4 @@ class TestPhi(unittest.TestCase):
dataset_meta = load_datasets(cfg=cfg, cli_args=cli_args)
train(cfg=cfg, cli_args=cli_args, dataset_meta=dataset_meta)
assert (Path(output_dir) / "pytorch_model.bin").exists()