[Bugfix] Fix gptq failure on T4s

vllm/model_executor/layers/quantization/awq_marlin.py

@@ -126,8 +126,7 @@ def is_awq_marlin_compatible(cls, quant_config: Dict[str, Any]):
 
         return check_marlin_supported(quant_type=cls.TYPE_MAP[num_bits],
                                       group_size=group_size,
-                                      has_zp=has_zp,
-                                      min_capability=cls.get_min_capability())
+                                      has_zp=has_zp)
 
 
 class AWQMarlinLinearMethod(LinearMethodBase):

vllm/model_executor/layers/quantization/gptq_marlin.py

@@ -136,8 +136,7 @@ def is_gptq_marlin_compatible(cls, quant_config: Dict[str, Any]):
             return False
 
         return check_marlin_supported(quant_type=cls.TYPE_MAP[(num_bits, sym)],
-                                      group_size=group_size,
-                                      min_capability=cls.get_min_capability())
+                                      group_size=group_size)
 
 
 class GPTQMarlinLinearMethod(LinearMethodBase):

vllm/model_executor/layers/quantization/utils/marlin_utils.py

@@ -26,12 +26,13 @@
 #  without runtime zero-point. We support common cases, i.e. AWQ and GPTQ.
 #  TODO: we may want to move this into the C++ so its closer to the actual impl
 def query_marlin_supported_quant_types(has_zp: bool,
-                                       min_capability: Optional[int] = None):
-    if min_capability is None:
+                                       device_capability: Optional[int] = None
+                                       ):
+    if device_capability is None:
         major, minor = current_platform.get_device_capability()
-        min_capability = major * 10 + minor
+        device_capability = major * 10 + minor
 
-    if min_capability < 80:
+    if device_capability < 80:
         return []
 
     if has_zp:
@@ -48,20 +49,20 @@ def _check_marlin_supported(
         quant_type: ScalarType,
         group_size: Optional[int],
         has_zp: bool,
-        min_capability: Optional[int] = None) -> Tuple[bool, Optional[str]]:
+        device_capability: Optional[int] = None) -> Tuple[bool, Optional[str]]:
 
-    if min_capability is None:
+    if device_capability is None:
         major, minor = current_platform.get_device_capability()
-        min_capability = major * 10 + minor
+        device_capability = major * 10 + minor
 
     supported_types = query_marlin_supported_quant_types(
-        has_zp, min_capability)
+        has_zp, device_capability)
 
     if quant_type not in supported_types:
         return (False, f"Marlin does not support weight_bits = {quant_type}. "
                 f"Only types = {supported_types} "
                 f"are supported (for group_size = {group_size}, "
-                f"min_capability = {min_capability}, zp = {has_zp}).")
+                f"device_capability = {device_capability}, zp = {has_zp}).")
     if (group_size is None or group_size not in MARLIN_SUPPORTED_GROUP_SIZES):
         return (False, f"Marlin does not support group_size = {group_size}. "
                 f"Only group_sizes = {MARLIN_SUPPORTED_GROUP_SIZES} "
@@ -73,9 +74,9 @@ def _check_marlin_supported(
 def check_marlin_supported(quant_type: ScalarType,
                            group_size: int,
                            has_zp: bool = False,
-                           min_capability: Optional[int] = None) -> bool:
+                           device_capability: Optional[int] = None) -> bool:
     cond, _ = _check_marlin_supported(quant_type, group_size, has_zp,
-                                      min_capability)
+                                      device_capability)
     return cond