Files
axolotl/tests/integrations/test_adapter_plugin_registry.py
Wing Lian b7ec06b8a1 Add optional Axolotl MoRA/ReMoRA integration (#3647) [skip ci]
* Add optional Axolotl MoRA/ReMoRA integration

Co-authored-by: Axolotl Swarm <no-reply@axolotl.ai>

* Isolate MoRA adapter behavior in plugin

Co-authored-by: Axolotl Swarm <no-reply@axolotl.ai>

* Constrain MoRA variants to supported enum values

* Keep MoRA validation out of core config

---------

Co-authored-by: Swarm <swarm@localhost>
Co-authored-by: Axolotl Swarm <no-reply@axolotl.ai>
2026-05-12 07:19:55 -04:00

74 lines
2.5 KiB
Python

"""Core adapter plugin registry tests."""
from unittest.mock import Mock
import pytest
import torch
from axolotl.integrations.base import AdapterCapabilities, BasePlugin, PluginManager
from axolotl.loaders import adapter as adapter_module
from axolotl.loaders.adapter import load_adapter
from axolotl.utils.config import validate_config
from axolotl.utils.dict import DictDefault
class FakeAdapterPlugin(BasePlugin):
def get_adapter_capabilities(self) -> list[AdapterCapabilities]:
return [AdapterCapabilities(name="fake-adapter", lora_like=True, relora=True)]
def get_lora_config_kwargs(self, cfg: DictDefault) -> dict:
if cfg.adapter != "fake-adapter":
return {}
return {"fake_kwarg": "from-plugin"}
class TestAdapterPluginRegistry:
def test_lora_like_plugin_adapter_contributes_peft_kwargs(self, monkeypatch):
model = torch.nn.Linear(4, 4)
cfg = DictDefault(
{
"adapter": "fake-adapter",
"lora_r": 8,
"lora_alpha": 16,
"lora_dropout": 0.0,
}
)
PluginManager.get_instance().plugins["fake"] = FakeAdapterPlugin()
captured = {}
class FakeLoraConfig:
def __init__(self, **kwargs):
captured.update(kwargs)
self.__dict__.update(kwargs)
monkeypatch.setattr(adapter_module, "LoraConfig", FakeLoraConfig)
monkeypatch.setattr(adapter_module, "get_peft_model", Mock())
_, config = load_adapter(model, cfg, "fake-adapter", config_only=True)
assert config is not None
assert captured["fake_kwarg"] == "from-plugin"
assert captured["task_type"].name == "CAUSAL_LM"
def test_unknown_adapter_error_mentions_plugin_registry(self):
model = torch.nn.Linear(4, 4)
cfg = DictDefault({"adapter": "missing-adapter"})
with pytest.raises(NotImplementedError, match="registered by a plugin"):
load_adapter(model, cfg, "missing-adapter")
def test_relora_accepts_plugin_adapter_capability(self, min_base_cfg):
PluginManager.get_instance().plugins["fake"] = FakeAdapterPlugin()
cfg = min_base_cfg | DictDefault(
{
"adapter": "fake-adapter",
"relora": True,
"jagged_restart_steps": 100,
}
)
validated = validate_config(cfg)
assert validated.adapter == "fake-adapter"
assert validated.relora is True