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"""Module for testing the validation module"""
import logging
import unittest
from typing import Optional
import pytest
from axolotl.utils.dict import DictDefault
from axolotl.utils.validation import validate_config
class ValidationTest(unittest.TestCase):
"""
Test the validation module
"""
_caplog: Optional[pytest.LogCaptureFixture] = None
@pytest.fixture(autouse=True)
def inject_fixtures(self, caplog):
self._caplog = caplog
def test_load_4bit_deprecate(self):
cfg = DictDefault(
{
"load_4bit": True,
}
)
with pytest.raises(ValueError):
validate_config(cfg)
def test_batch_size_unused_warning(self):
cfg = DictDefault(
{
"batch_size": 32,
}
)
with self._caplog.at_level(logging.WARNING):
validate_config(cfg)
assert "batch_size is not recommended" in self._caplog.records[0].message
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)
def test_falcon_fsdp(self):
regex_exp = r".*FSDP is not supported for falcon models.*"
# Check for lower-case
cfg = DictDefault(
{
"base_model": "tiiuae/falcon-7b",
"fsdp": ["full_shard", "auto_wrap"],
}
)
with pytest.raises(ValueError, match=regex_exp):
validate_config(cfg)
# Check for upper-case
cfg = DictDefault(
{
"base_model": "Falcon-7b",
"fsdp": ["full_shard", "auto_wrap"],
}
)
with pytest.raises(ValueError, match=regex_exp):
validate_config(cfg)
cfg = DictDefault(
{
"base_model": "tiiuae/falcon-7b",
}
)
validate_config(cfg)
def test_mpt_gradient_checkpointing(self):
regex_exp = r".*gradient_checkpointing is not supported for MPT models*"
# Check for lower-case
cfg = DictDefault(
{
"base_model": "mosaicml/mpt-7b",
"gradient_checkpointing": True,
}
)
with pytest.raises(ValueError, match=regex_exp):
validate_config(cfg)
def test_flash_optimum(self):
cfg = DictDefault(
{
"flash_optimum": True,
"adapter": "lora",
}
)
with self._caplog.at_level(logging.WARNING):
validate_config(cfg)
assert any(
"BetterTransformers probably doesn't work with PEFT adapters"
in record.message
for record in self._caplog.records
)
cfg = DictDefault(
{
"flash_optimum": True,
}
)
with self._caplog.at_level(logging.WARNING):
validate_config(cfg)
assert any(
"probably set bfloat16 or float16" in record.message
for record in self._caplog.records
)
cfg = DictDefault(
{
"flash_optimum": True,
"fp16": True,
}
)
regex_exp = r".*AMP is not supported.*"
with pytest.raises(ValueError, match=regex_exp):
validate_config(cfg)
cfg = DictDefault(
{
"flash_optimum": True,
"bf16": True,
}
)
regex_exp = r".*AMP is not supported.*"
with pytest.raises(ValueError, match=regex_exp):
validate_config(cfg)
def test_adamw_hyperparams(self):
cfg = DictDefault(
{
"optimizer": None,
"adamw_epsilon": 0.0001,
}
)
with self._caplog.at_level(logging.WARNING):
validate_config(cfg)
assert any(
"adamw hyperparameters found, but no adamw optimizer set"
in record.message
for record in self._caplog.records
)
cfg = DictDefault(
{
"optimizer": "adafactor",
"adamw_beta1": 0.0001,
}
)
with self._caplog.at_level(logging.WARNING):
validate_config(cfg)
assert any(
"adamw hyperparameters found, but no adamw optimizer set"
in record.message
for record in self._caplog.records
)
cfg = DictDefault(
{
"optimizer": "adamw_bnb_8bit",
"adamw_beta1": 0.0001,
"adamw_beta2": 0.0001,
"adamw_epsilon": 0.0001,
}
)
validate_config(cfg)
cfg = DictDefault(
{
"optimizer": "adafactor",
}
)
validate_config(cfg)
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