unsloth/tests/python/test_fast_model_config_passthrough.py
alkinun 14ed91e39a
Fix FastModel config passthrough for sequence classification (#6203)
* add FastModel config passthrough

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* fix fastmodel config passthrough for task configs

* fix config-driven FastModel task model selection

* fix text only fastmodel task config selection

* fix fastmodel task config inference from user configs

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* fix fastmodel problem_type config passthrough

* fix fastlanguagemodel config passthrough: FastLlamaModel owns user config

* fix fastlanguagemodel config passthrough: forward user config to causal loads and keep checkpoint quantization_config

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Etherll <61019402+Etherll@users.noreply.github.com>
2026-06-12 11:15:37 +03:00

215 lines
6.5 KiB
Python

"""FastModel config passthrough and nested task config handling."""
import ast
from pathlib import Path
REPO_ROOT = Path(__file__).resolve().parents[2]
LOADER_PATH = REPO_ROOT / "unsloth" / "models" / "loader.py"
VISION_PATH = REPO_ROOT / "unsloth" / "models" / "vision.py"
UTILS_PATH = REPO_ROOT / "unsloth" / "models" / "_utils.py"
LLAMA_PATH = REPO_ROOT / "unsloth" / "models" / "llama.py"
def _source(path):
return path.read_text()
def _class_method(tree, class_name, method_name):
for node in tree.body:
if isinstance(node, ast.ClassDef) and node.name == class_name:
for item in node.body:
if isinstance(item, ast.FunctionDef) and item.name == method_name:
return item
raise AssertionError(f"{class_name}.{method_name} not found")
def _assigns_from_kwargs_pop(method, target_name, key_name):
for node in ast.walk(method):
if not isinstance(node, ast.Assign):
continue
if not any(
isinstance(target, ast.Name) and target.id == target_name for target in node.targets
):
continue
value = node.value
if not (
isinstance(value, ast.Call)
and isinstance(value.func, ast.Attribute)
and value.func.attr == "pop"
and isinstance(value.func.value, ast.Name)
and value.func.value.id == "kwargs"
and value.args
and isinstance(value.args[0], ast.Constant)
and value.args[0].value == key_name
):
continue
return True
return False
def _calls_name(method, name):
return any(
isinstance(node, ast.Call) and isinstance(node.func, ast.Name) and node.func.id == name
for node in ast.walk(method)
)
def _load_task_attr_helper():
source = _source(UTILS_PATH)
funcs = {
node.name: ast.get_source_segment(source, node)
for node in ast.parse(source).body
if isinstance(node, ast.FunctionDef)
}
ns = {}
for name in ("_config_set", "set_task_config_attr"):
exec(funcs[name], ns)
return ns["set_task_config_attr"]
def _load_loader_task_helpers():
source = _source(LOADER_PATH)
funcs = {
node.name: ast.get_source_segment(source, node)
for node in ast.parse(source).body
if isinstance(node, ast.FunctionDef)
}
ns = {}
for name in (
"_config_get",
"_config_diff",
"_has_sequence_classification_architecture",
"_get_user_task_config_attrs",
):
exec(funcs[name], ns)
return ns["_get_user_task_config_attrs"]
def test_fast_model_consumes_user_config_kwarg():
tree = ast.parse(_source(LOADER_PATH))
method = _class_method(tree, "FastModel", "from_pretrained")
assert _assigns_from_kwargs_pop(method, "user_config", "config")
def test_fast_base_model_consumes_user_config_kwarg():
tree = ast.parse(_source(VISION_PATH))
method = _class_method(tree, "FastBaseModel", "from_pretrained")
assert _assigns_from_kwargs_pop(method, "user_config", "config")
def test_fast_llama_model_consumes_user_config_kwarg():
tree = ast.parse(_source(LLAMA_PATH))
method = _class_method(tree, "FastLlamaModel", "from_pretrained")
assert _assigns_from_kwargs_pop(method, "user_config", "config")
def test_fast_base_model_sets_task_attrs_on_nested_text_config():
tree = ast.parse(_source(VISION_PATH))
method = _class_method(tree, "FastBaseModel", "from_pretrained")
assert _calls_name(method, "set_task_config_attr")
def test_fast_base_model_pops_problem_type_as_config_attr():
source = _source(VISION_PATH)
assert '("id2label", "label2id", "problem_type")' in source
def test_fast_model_uses_user_config_num_labels_for_task_model_selection():
tree = ast.parse(_source(LOADER_PATH))
method = _class_method(tree, "FastModel", "from_pretrained")
assert _calls_name(method, "_get_user_task_config_attrs")
def test_fast_model_captures_user_config_num_labels_before_text_only_switch():
source = _source(LOADER_PATH)
fallback = source.index("task_config_attrs = _get_user_task_config_attrs(user_config)")
text_only_switch = source.index("model_config = text_config")
assert fallback < text_only_switch
def test_user_task_config_attrs_ignore_default_num_labels():
get_user_task_config_attrs = _load_loader_task_helpers()
class Config:
num_labels = 2
id2label = {0: "LABEL_0", 1: "LABEL_1"}
label2id = {"LABEL_0": 0, "LABEL_1": 1}
def to_diff_dict(self):
return {}
assert get_user_task_config_attrs(Config()) == {}
def test_user_task_config_attrs_preserve_custom_label_maps():
get_user_task_config_attrs = _load_loader_task_helpers()
class Config:
num_labels = 2
id2label = {0: "negative", 1: "positive"}
label2id = {"negative": 0, "positive": 1}
def to_diff_dict(self):
return {"id2label": self.id2label, "label2id": self.label2id}
attrs = get_user_task_config_attrs(Config())
assert attrs["num_labels"] == 2
assert attrs["id2label"] == {0: "negative", 1: "positive"}
assert attrs["label2id"] == {"negative": 0, "positive": 1}
def test_user_task_config_attrs_preserve_explicit_dict_num_labels():
get_user_task_config_attrs = _load_loader_task_helpers()
assert get_user_task_config_attrs({"num_labels": 2}) == {"num_labels": 2}
def test_task_config_attr_updates_parent_and_text_config_objects():
set_task_config_attr = _load_task_attr_helper()
class TextConfig:
pass
class ParentConfig:
def __init__(self):
self.text_config = TextConfig()
def get_text_config(self):
return self.text_config
config = ParentConfig()
set_task_config_attr(config, "num_labels", 3)
assert config.num_labels == 3
assert config.text_config.num_labels == 3
def test_task_config_attr_updates_parent_and_text_config_dicts():
set_task_config_attr = _load_task_attr_helper()
config = {"text_config": {}}
set_task_config_attr(config, "label2id", {"negative": 0, "positive": 1})
assert config["label2id"] == {"negative": 0, "positive": 1}
assert config["text_config"]["label2id"] == {"negative": 0, "positive": 1}
def test_task_config_attr_ignores_primitive_text_config():
set_task_config_attr = _load_task_attr_helper()
config = {"text_config": "not-a-config"}
set_task_config_attr(config, "num_labels", 2)
assert config["num_labels"] == 2
assert config["text_config"] == "not-a-config"