Files
axolotl/tests/test_normalize_config.py
Wing Lian fc4e37920b transformers v5 upgrade (#3272)
* Prepare for transformers v5 upgrade

* fix hf cli

* update for hf hub changes

* fix tokenizer apply_chat_template args

* remap include_tokens_per_second

* fix tps

* handle migration for warmup

* use latest hf hub

* Fix scan -> ls

* fix import

* fix for renaming of mistral common tokenizer -> backend

* update for fixed tokenziation for llama

* Skip phi35 tests for now

* remove mistral patch fixed upstream in huggingface/transformers#41439

* use namespacing for patch

* don't rely on sdist for e2e tests for now

* run modal ci without waiting too

* Fix dep for ci

* fix imports

* Fix fp8 check

* fsdp2 fixes

* fix version handling

* update fsdp version tests for new v5 behavior

* Fail multigpu tests after 3 failures

* skip known v5 broken tests for now and cleanup

* bump deps

* unmark skipped test

* re-enable test_fsdp_qlora_prequant_packed test

* increase multigpu ci timeout

* skip broken gemma3 test

* reduce timout back to original 120min now that the hanging test is skipped

* fix for un-necessary collator for pretraining with bsz=1

* fix: safe_serialization deprecated in transformers v5 rc01 (#3318)

* torch_dtype deprecated

* load model in float32 for consistency with tests

* revert some test fixtures back

* use hf cache ls instead of scan

* don't strip fsdp_version

more fdsp_Version fixes for v5
fix version in fsdp_config
fix aliasing
fix fsdp_version check
check fsdp_version is 2 in both places

* Transformers v5 rc2 (#3347)

* bump dep

* use latest fbgemm, grab model config as part of fixture, un-skip test

* import AutoConfig

* don't need more problematic autoconfig when specifying config.json manually

* add fixtures for argilla ultrafeedback datasets

* download phi4-reasoning

* fix arg

* update tests for phi fast tokenizer changes

* use explicit model types for gemma3

---------

Co-authored-by: Wing Lian <wing@axolotl.ai>

* fix: AutoModelForVision2Seq -> AutoModelForImageTextToText

* chore: remove duplicate

* fix: attempt fix gemma3 text mode

* chore: lint

* ga release of v5

* need property setter for name_or_path for mistral tokenizer

* vllm not compatible with transformers v5

* setter for chat_template w mistral too

---------

Co-authored-by: NanoCode012 <nano@axolotl.ai>
Co-authored-by: salman <salman.mohammadi@outlook.com>
2026-01-27 17:08:24 -05:00

197 lines
6.5 KiB
Python

"""
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,
validate_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": "HuggingFaceTB/SmolLM2-135M",
"base_model_config": "HuggingFaceTB/SmolLM2-135M",
"tokenizer_type": "AutoTokenizer",
"num_epochs": 1,
"micro_batch_size": 1,
"gradient_accumulation_steps": 1,
"datasets": [
{
"path": "mhenrichsen/alpaca_2k_test",
"type": "alpaca",
},
],
"learning_rate": 0.0001,
}
)
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": "chat_template",
"chat_template": "gemma",
},
{
"path": "sit/amet",
"type": "chat_template",
},
],
}
)
normalize_cfg_datasets(cfg)
assert cfg.datasets[0].chat_template == "gemma"
assert cfg.datasets[1].chat_template == "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)
def test_migrate_fsdp_config(self):
"""Test basic FSDP config migration with and without fsdp_version"""
cfg_with_version = self._get_base_cfg() | DictDefault(
{
"fsdp_config": {
"fsdp_version": 2,
"fsdp_auto_wrap_policy": "TRANSFORMER_BASED_WRAP",
"fsdp_offload_params": False,
"fsdp_cpu_ram_efficient_loading": True,
}
}
)
cfg_with_version = validate_config(cfg_with_version)
self.assertEqual(cfg_with_version.fsdp_version, 2)
self.assertEqual(
cfg_with_version.fsdp_config.auto_wrap_policy, "TRANSFORMER_BASED_WRAP"
)
self.assertEqual(cfg_with_version.fsdp_config.offload_params, False)
self.assertEqual(cfg_with_version.fsdp_config.cpu_ram_efficient_loading, True)
self.assertNotIn("fsdp_auto_wrap_policy", cfg_with_version.fsdp_config)
self.assertNotIn("fsdp_offload_params", cfg_with_version.fsdp_config)
self.assertNotIn("fsdp_cpu_ram_efficient_loading", cfg_with_version.fsdp_config)
self.assertIn("fsdp_version", cfg_with_version.fsdp_config)
cfg_without_version = self._get_base_cfg() | DictDefault(
{
"fsdp_config": {
"fsdp_auto_wrap_policy": "SIZE_BASED_WRAP",
"fsdp_offload_params": True,
}
}
)
cfg_without_version = validate_config(cfg_without_version)
self.assertNotIn("fsdp_version", cfg_without_version)
self.assertEqual(
cfg_without_version.fsdp_config.auto_wrap_policy, "SIZE_BASED_WRAP"
)
self.assertEqual(cfg_without_version.fsdp_config.offload_params, True)
self.assertNotIn("fsdp_auto_wrap_policy", cfg_without_version.fsdp_config)
self.assertNotIn("fsdp_offload_params", cfg_without_version.fsdp_config)
def test_migrate_fsdp_config_no_fsdp_config(self):
"""Test that function doesn't crash when no fsdp_config is present"""
cfg = self._get_base_cfg()
cfg = validate_config(cfg)
self.assertNotIn("fsdp_config", cfg)
self.assertNotIn("fsdp_version", cfg)
def test_migrate_fsdp_config_empty_fsdp_config(self):
"""Test migration with empty fsdp_config"""
cfg = self._get_base_cfg() | DictDefault({"fsdp_config": {}})
cfg = validate_config(cfg)
self.assertNotIn("fsdp_version", cfg)
self.assertEqual(cfg.fsdp_config, {})
def test_migrate_fsdp_config_mixed_keys(self):
"""Test migration with a mix of fsdp_ and non-fsdp_ keys"""
cfg = self._get_base_cfg() | DictDefault(
{
"fsdp_config": {
"fsdp_version": 1,
"fsdp_state_dict_type": "FULL_STATE_DICT",
"mixed_precision_policy": "fp16",
"activation_checkpointing": True,
"fsdp_reshard_after_forward": False,
}
}
)
cfg = validate_config(cfg)
self.assertEqual(cfg.fsdp_version, 1)
self.assertEqual(cfg.fsdp_config.state_dict_type, "FULL_STATE_DICT")
self.assertEqual(cfg.fsdp_config.reshard_after_forward, False)
self.assertEqual(cfg.fsdp_config.mixed_precision_policy, "fp16")
self.assertEqual(cfg.fsdp_config.activation_checkpointing, True)
# Check original fsdp_ keys are removed
self.assertNotIn("fsdp_state_dict_type", cfg.fsdp_config)
self.assertNotIn("fsdp_reshard_after_forward", cfg.fsdp_config)
self.assertIn("fsdp_version", cfg.fsdp_config)