Support bool arguments for actorder (#150)

Author: kylesayrs

src/compressed_tensors/quantization/quant_args.py

@@ -93,7 +93,7 @@ class QuantizationArgs(BaseModel, use_enum_values=True):
     strategy: Optional[QuantizationStrategy] = None
     block_structure: Optional[str] = None
     dynamic: bool = False
-    actorder: Optional[ActivationOrdering] = None
+    actorder: Union[ActivationOrdering, bool, None] = None
     observer: str = Field(
         default="minmax",
         description=(
@@ -151,6 +151,9 @@ def validate_strategy(cls, value) -> Union[QuantizationStrategy, None]:
 
     @field_validator("actorder", mode="before")
     def validate_actorder(cls, value) -> Optional[ActivationOrdering]:
+        if isinstance(value, bool):
+            return ActivationOrdering.GROUP if value else None
+
         if isinstance(value, str):
             return ActivationOrdering(value.lower())
 

tests/test_quantization/test_quant_args.py

@@ -82,11 +82,12 @@ def test_actorder():
     with pytest.raises(ValueError):
         QuantizationArgs(strategy="tensor", actorder="weight")
 
-    # test boolean defaulting
+    # test boolean and none defaulting
     assert (
-        QuantizationArgs(group_size=1, actorder="weight").actorder
-        == ActivationOrdering.WEIGHT
+        QuantizationArgs(group_size=1, actorder=True).actorder
+        == ActivationOrdering.GROUP
     )
+    assert QuantizationArgs(group_size=1, actorder=False).actorder is None
     assert QuantizationArgs(group_size=1, actorder=None).actorder is None