add tests, remove dead code

Signed-off-by: Kyle Sayers <[email protected]>

Author: kylesayrs

src/llmcompressor/modifiers/quantization/gptq/base.py

@@ -137,6 +137,8 @@ def resolve_actorder(existing):
             # user-provided value always attempts to override
             if existing is None or self.actorder == existing:
                 return self.actorder
+            
+            # if existing provided and conflicts
             raise ValueError(
                 "Cannot resolve activation ordering when both "
                 "`GPTQModifier.actorder` and `QuantizationScheme.actorder` "
@@ -145,9 +147,6 @@ def resolve_actorder(existing):
                 "remove `actorder` from config groups."
             )
 
-            # setting `GPTQModifier.actorder = None` does nothing
-            return existing
-
         for scheme in config.config_groups.values():
             assert isinstance(scheme, QuantizationScheme)
             if scheme.weights is not None:

tests/e2e/vLLM/configs/w4a16_actorder_none.yaml

@@ -0,0 +1,9 @@
+cadence: "nightly"
+test_type: "regression"
+model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
+recipe: tests/e2e/vLLM/recipes/actorder/recipe_w4a16_actorder_none.yaml
+dataset_id: openai/gsm8k
+dataset_config: main
+dataset_split: train
+scheme: W4A16_actorder_none
+save_dir: TinyLlama-1.1B-Chat-v1.0-actorder-group

tests/e2e/vLLM/configs/w4a16_actorder_none_qwen.yaml

@@ -0,0 +1,8 @@
+cadence: "nightly"
+test_type: "regression"
+model: Qwen/Qwen2.5-0.5B
+recipe: tests/e2e/vLLM/recipes/actorder/recipe_w4a16_actorder_none.yaml
+dataset_id: neuralmagic/LLM_compression_calibration
+dataset_split: train
+scheme: W4A16_actorder_none
+save_dir: Qwen2.5-0.5B-actorder-none

tests/lmeval/configs/w4a16_actorder_none.yaml

@@ -0,0 +1,10 @@
+cadence: "weekly"
+model: meta-llama/Meta-Llama-3-8B-Instruct
+scheme: W4A16_actorder_none
+recipe: tests/e2e/vLLM/recipes/actorder/recipe_w4a16_actorder_none.yaml
+dataset_id: HuggingFaceH4/ultrachat_200k
+dataset_split: train_sft
+lmeval:
+  metrics:
+    exact_match,flexible-extract: 0.72
+    exact_match,strict-match: 0.72