Fix import

nncf/experimental/torch/sparsify_activations/torch_backend.py

@@ -20,14 +20,14 @@
 from nncf.common.graph.operator_metatypes import CONST_NOOP_METATYPES
 from nncf.common.graph.operator_metatypes import OperatorMetatype
 from nncf.common.graph.transformations.commands import TargetType
+from nncf.experimental.common.tensor_statistics.collectors import AbsQuantileReducer
 from nncf.experimental.torch.sparsify_activations.sparsify_activations_impl import SparsifyActivationsAlgoBackend
 from nncf.torch.graph import operator_metatypes as om
 from nncf.torch.graph.transformations.commands import PTSharedFnInsertionCommand
 from nncf.torch.graph.transformations.commands import PTTargetPoint
 from nncf.torch.graph.transformations.layout import PTTransformationLayout
 from nncf.torch.model_transformer import PTModelTransformer
 from nncf.torch.nncf_network import NNCFNetwork
-from nncf.torch.tensor_statistics.collectors import PTAbsQuantileReducer
 
 ACTIVATIONS_SPARSIFIER_PREFIX = "activations_sparsifier"
 
@@ -61,8 +61,8 @@ class PTSparsifyActivationsAlgoBackend(SparsifyActivationsAlgoBackend):
     def supported_metatypes(self) -> List[Type[OperatorMetatype]]:
         return [om.PTLinearMetatype]
 
-    def abs_quantile_reducer(self, quantile: Optional[Union[float, List[float]]] = None) -> PTAbsQuantileReducer:
-        return PTAbsQuantileReducer(quantile=quantile)
+    def abs_quantile_reducer(self, quantile: Optional[Union[float, List[float]]] = None) -> AbsQuantileReducer:
+        return AbsQuantileReducer(quantile=quantile)
 
     def target_point(self, target_type: TargetType, target_node_name: str, port_id: int) -> PTTargetPoint:
         return PTTargetPoint(TargetType.PRE_LAYER_OPERATION, target_node_name, input_port_id=port_id)