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use temp_dir kwarg instead

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This commit is contained in:
Wing Lian
2023-11-06 07:31:46 -05:00
parent 7de6a5639c
commit 6dc68a653f
6 changed files with 31 additions and 31 deletions
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12
tests/e2e/test_mistral_samplepack.py
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@@ -27,7 +27,7 @@ class TestMistral(unittest.TestCase):
"""
@with_temp_dir
def test_lora_packing(self, output_dir):
def test_lora_packing(self, temp_dir):
# pylint: disable=duplicate-code
cfg = DictDefault(
{
@@ -56,7 +56,7 @@ class TestMistral(unittest.TestCase):
"num_epochs": 2,
"micro_batch_size": 2,
"gradient_accumulation_steps": 1,
"output_dir": output_dir,
"output_dir": temp_dir,
"learning_rate": 0.00001,
"optimizer": "adamw_torch",
"lr_scheduler": "cosine",
@@ -70,10 +70,10 @@ class TestMistral(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) / "adapter_model.bin").exists()
assert (Path(temp_dir) / "adapter_model.bin").exists()
@with_temp_dir
def test_ft_packing(self, output_dir):
def test_ft_packing(self, temp_dir):
# pylint: disable=duplicate-code
cfg = DictDefault(
{
@@ -96,7 +96,7 @@ class TestMistral(unittest.TestCase):
"num_epochs": 2,
"micro_batch_size": 2,
"gradient_accumulation_steps": 1,
"output_dir": output_dir,
"output_dir": temp_dir,
"learning_rate": 0.00001,
"optimizer": "adamw_torch",
"lr_scheduler": "cosine",
@@ -114,4 +114,4 @@ class TestMistral(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()
assert (Path(temp_dir) / "pytorch_model.bin").exists()