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daniil-lyakhov · Jan 20, 2025 · b676c53 · b676c53
1 parent 5b8bdd6
commit b676c53
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Showing 2 changed files with 3 additions and 3 deletions.
diff --git a/nncf/experimental/quantization/quantizers/torch_ao_adapter.py b/nncf/experimental/quantization/quantizers/torch_ao_adapter.py
@@ -57,7 +57,7 @@ def get_quantization_setup(self, model: torch.fx.GraphModule, nncf_graph: NNCFGr
 
         annotated_model = self._quantizer.annotate(model)
         self._quantizer.validate(annotated_model)
-        quantizer_setup = self.get_quantizer_config_from_anotated_model(annotated_model)
+        quantizer_setup = self.get_quantizer_config_from_annotated_model(annotated_model)
 
         # Recover original meta
         model.meta = original_meta
@@ -101,7 +101,7 @@ def _get_node_args(node: torch.fx.Node):
         return node.args
 
     @staticmethod
-    def get_quantizer_config_from_anotated_model(anotated_model: torch.fx.GraphModule) -> SingleConfigQuantizerSetup:
+    def get_quantizer_config_from_annotated_model(anotated_model: torch.fx.GraphModule) -> SingleConfigQuantizerSetup:
         edge_or_node_to_qspec = _get_edge_or_node_to_qspec(anotated_model)
 
         q_map = defaultdict(list)

diff --git a/nncf/quantization/algorithms/min_max/algorithm.py b/nncf/quantization/algorithms/min_max/algorithm.py
@@ -1071,7 +1071,7 @@ def get_cached_statistic_points(self, model: TModel, graph: NNCFGraph) -> Statis
         Build statistic point container using already cached target points vs qconfigs cache.
 
         :param model: Model instance.
-        :param graph: NNCFGraph instance corespondent to the passed model.
+        :param graph: NNCFGraph instance correspondent to the passed model.
         :return: Filled statistic point container.
         """
         if self._quantization_target_points_to_qconfig is None: