pytorch tests passed

Author: alexsu52

nncf/quantization/algorithms/weight_compression/backend.py

@@ -101,20 +101,6 @@ def transform_model(
         :return: The transformed model.
         """
 
-    @staticmethod
-    @abstractmethod
-    def dump_parameters(
-        model: TModel, parameters: Dict, algo_name: Optional[str] = "quantization", path: Optional[List] = None
-    ) -> None:
-        """
-        Dumps the given parameters into Model's meta section.
-
-        :param model: ov.Model instance.
-        :param algo_name: Name of the algorithm to which the parameters refer.
-        :param parameters: Incoming dictionary with parameters to save.
-        :param path: Optional list of the paths.
-        """
-
     @staticmethod
     @abstractmethod
     def target_point(target_type: TargetType, target_node_name: str, port_id: int) -> TargetPoint:
@@ -149,3 +135,16 @@ def get_activation_port_id(node: NNCFNode, graph: NNCFGraph) -> int:
         :param graph: NNCFGraph instance with the node.
         :return: target input port id.
         """
+
+    @staticmethod
+    def dump_parameters(
+        model: TModel, parameters: Dict, algo_name: Optional[str] = "quantization", path: Optional[List] = None
+    ) -> None:
+        """
+        Dumps the given parameters into Model's meta section.
+
+        :param model: ov.Model instance.
+        :param algo_name: Name of the algorithm to which the parameters refer.
+        :param parameters: Incoming dictionary with parameters to save.
+        :param path: Optional list of the paths.
+        """