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"""
Test classes for checking functionality of the cfg normalization
"""
import unittest
from unittest.mock import patch
from axolotl.utils.config import normalize_cfg_datasets, normalize_config
from axolotl.utils.dict import DictDefault
class NormalizeConfigTestCase(unittest.TestCase):
"""
test class for normalize_config checks
"""
def _get_base_cfg(self):
return DictDefault(
{
"base_model": "JackFram/llama-68m",
"base_model_config": "JackFram/llama-68m",
"tokenizer_type": "LlamaTokenizer",
"num_epochs": 1,
"micro_batch_size": 1,
"gradient_accumulation_steps": 1,
}
)
def test_lr_as_float(self):
cfg = (
self._get_base_cfg()
| DictDefault( # pylint: disable=unsupported-binary-operation
{
"learning_rate": "5e-5",
}
)
)
normalize_config(cfg)
assert cfg.learning_rate == 0.00005
def test_base_model_config_set_when_empty(self):
cfg = self._get_base_cfg()
del cfg.base_model_config
normalize_config(cfg)
assert cfg.base_model_config == cfg.base_model
def test_chat_template_chatml(self):
cfg = DictDefault(
{
"chat_template": "chatml",
"datasets": [
{
"path": "lorem/ipsum",
"type": "sharegpt",
"conversation": "vicuna_v1.1",
},
{
"path": "sit/amet",
"type": "sharegpt",
},
],
}
)
normalize_cfg_datasets(cfg)
assert cfg.datasets[0].conversation == "vicuna_v1.1"
assert cfg.datasets[1].conversation == "chatml"
@patch("axolotl.utils.config.is_torch_bf16_gpu_available")
def test_bf16_auto_setter_available(self, mock_bf16_avail):
cfg = self._get_base_cfg()
cfg.bf16 = "auto"
mock_bf16_avail.return_value = True
normalize_config(cfg)
self.assertTrue(cfg.bf16)
self.assertFalse(cfg.fp16)
@patch("axolotl.utils.config.is_torch_bf16_gpu_available")
def test_bf16_auto_setter_not_available(self, mock_bf16_avail):
cfg = self._get_base_cfg()
cfg.bf16 = "auto"
cfg.fp16 = None
mock_bf16_avail.return_value = False
normalize_config(cfg)
self.assertFalse(cfg.bf16)
self.assertTrue(cfg.fp16)
@patch("axolotl.utils.config.is_torch_bf16_gpu_available")
def test_bf16_disables_fp16(self, mock_bf16_avail):
cfg = self._get_base_cfg()
cfg.bf16 = True
cfg.fp16 = False
mock_bf16_avail.return_value = True
normalize_config(cfg)
self.assertTrue(cfg.bf16)
self.assertFalse(cfg.fp16)
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