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"""Module for testing the validation module"""
import unittest
import pytest
from axolotl.utils.dict import DictDefault
from axolotl.utils.validation import validate_config
class ValidationTest(unittest.TestCase):
"""
Test the validation module
"""
def test_load_4bit_deprecate(self):
cfg = DictDefault(
{
"load_4bit": True,
}
)
with pytest.raises(ValueError):
validate_config(cfg)
def test_qlora(self):
base_cfg = DictDefault(
{
"adapter": "qlora",
}
)
cfg = base_cfg | DictDefault( # pylint: disable=unsupported-binary-operation
{
"load_in_8bit": True,
}
)
with pytest.raises(ValueError, match=r".*8bit.*"):
validate_config(cfg)
cfg = base_cfg | DictDefault( # pylint: disable=unsupported-binary-operation
{
"gptq": True,
}
)
with pytest.raises(ValueError, match=r".*gptq.*"):
validate_config(cfg)
cfg = base_cfg | DictDefault( # pylint: disable=unsupported-binary-operation
{
"load_in_4bit": False,
}
)
with pytest.raises(ValueError, match=r".*4bit.*"):
validate_config(cfg)
cfg = base_cfg | DictDefault( # pylint: disable=unsupported-binary-operation
{
"load_in_4bit": True,
}
)
validate_config(cfg)
def test_qlora_merge(self):
base_cfg = DictDefault(
{
"adapter": "qlora",
"merge_lora": True,
}
)
cfg = base_cfg | DictDefault( # pylint: disable=unsupported-binary-operation
{
"load_in_8bit": True,
}
)
with pytest.raises(ValueError, match=r".*8bit.*"):
validate_config(cfg)
cfg = base_cfg | DictDefault( # pylint: disable=unsupported-binary-operation
{
"gptq": True,
}
)
with pytest.raises(ValueError, match=r".*gptq.*"):
validate_config(cfg)
cfg = base_cfg | DictDefault( # pylint: disable=unsupported-binary-operation
{
"load_in_4bit": True,
}
)
with pytest.raises(ValueError, match=r".*4bit.*"):
validate_config(cfg)
def test_hf_use_auth_token(self):
cfg = DictDefault(
{
"push_dataset_to_hub": "namespace/repo",
}
)
with pytest.raises(ValueError, match=r".*hf_use_auth_token.*"):
validate_config(cfg)
cfg = DictDefault(
{
"push_dataset_to_hub": "namespace/repo",
"hf_use_auth_token": True,
}
)
validate_config(cfg)
def test_gradient_accumulations_or_batch_size(self):
cfg = DictDefault(
{
"gradient_accumulation_steps": 1,
"batch_size": 1,
}
)
with pytest.raises(
ValueError, match=r".*gradient_accumulation_steps or batch_size.*"
):
validate_config(cfg)
cfg = DictDefault(
{
"batch_size": 1,
}
)
validate_config(cfg)
cfg = DictDefault(
{
"gradient_accumulation_steps": 1,
}
)
validate_config(cfg)
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