Fix kernel type annotations for fp8 quant and logging (#16994)

python/sglang/srt/constrained/llguidance_backend.py

@@ -174,5 +174,5 @@ class GuidanceBackend(BaseGrammarBackend):
             g = StructTag.to_grammar(tags)
             return self._from_serialized(g)
         except Exception as e:
-            logging.error(f"Hit invalid structural_tag: {key_string=}, {e=}")
+            logger.error(f"Hit invalid structural_tag: {key_string=}, {e=}")
             return INVALID_GRAMMAR_OBJ

python/sglang/srt/layers/quantization/base_config.py

@@ -230,7 +230,9 @@ class QuantizationConfig(ABC):
         """
         raise NotImplementedError()
 
-    def apply_sglang_mapper(self, hf_to_sglang_mapper: "WeightsMapper"):  # noqa: B027
+    def apply_weight_name_mapper(
+        self, hf_to_sglang_mapper: "WeightsMapper"
+    ):  # noqa: B027
         """
         Interface for models to update module names referenced in
         quantization configs in order to reflect the sglang model structure

python/sglang/srt/layers/quantization/compressed_tensors/compressed_tensors.py

@@ -123,7 +123,7 @@ class CompressedTensorsConfig(QuantizationConfig):
     def get_scaled_act_names(self) -> List[str]:
         return []
 
-    def apply_sglang_mapper(self, hf_to_sglang_mapper: "WeightsMapper"):
+    def apply_weight_name_mapper(self, hf_to_sglang_mapper: "WeightsMapper"):
         self.target_scheme_map = hf_to_sglang_mapper.apply_dict(self.target_scheme_map)
         self.ignore = hf_to_sglang_mapper.apply_list(self.ignore)
         self.sparsity_scheme_map = hf_to_sglang_mapper.apply_dict(

python/sglang/srt/model_loader/loader.py

@@ -261,7 +261,7 @@ def _initialize_model(
     hf_to_sglang_mapper = getattr(model_class, "hf_to_sglang_mapper", None)
     # pass mappings by reference to quant_config
     if hf_to_sglang_mapper is not None and quant_config is not None:
-        quant_config.apply_sglang_mapper(hf_to_sglang_mapper)
+        quant_config.apply_weight_name_mapper(hf_to_sglang_mapper)
 
     # Build kwargs conditionally
     kwargs = {