[OpenVINO] Avoid use of deprecated openvino.runtime (#1512)

* [OpenVINO] Avoid deprecated openvino.runtime usage

In OpenVINO 2026.0, openvino.runtime will be removed

Signed-off-by: Kazantsev, Roman <[email protected]>

* Remove from tests

Signed-off-by: Kazantsev, Roman <[email protected]>

---------

Signed-off-by: Kazantsev, Roman <[email protected]>

Author: rkazants

notebooks/openvino/vision_language_quantization.ipynb

@@ -345,7 +345,7 @@
     "    PyTorchConfig,\n",
     ")\n",
     "from optimum_benchmark.logging_utils import setup_logging\n",
-    "from openvino.runtime import Core\n",
+    "from openvino import Core\n",
     "\n",
     "setup_logging(level=\"INFO\", prefix=\"MAIN-PROCESS\")\n",
     "\n",

optimum/intel/neural_compressor/modeling_base.py

@@ -216,7 +216,7 @@ def _from_pretrained(
                         config=config,
                         **kwargs,
                     )
-                    logger.info("Saved low bit model loading successfully. Other input args " "will be ignored.")
+                    logger.info("Saved low bit model loading successfully. Other input args will be ignored.")
                     return model
                 except Exception as e:
                     raise RuntimeError(f"The quantized model cannot be loaded. Detailed error: {e}")

optimum/intel/openvino/modeling_base.py

@@ -63,16 +63,16 @@ class OVModelHostMixin:
     """
 
     @property
-    def ov_models(self) -> Dict[str, Union[openvino.Model, openvino.runtime.CompiledModel]]:
+    def ov_models(self) -> Dict[str, Union[openvino.Model, openvino.CompiledModel]]:
         """
         Returns a dictionary of all OpenVINO models associated with this model. Keys are model names, and values are
-        either instances of `openvino.Model` or `openvino.runtime.CompiledModel`. Compiled model instances are returned
+        either instances of `openvino.Model` or `openvino.CompiledModel`. Compiled model instances are returned
         if the model is initialized with `compile_only=True`.
         """
         return {ov_model_name: getattr(self, ov_model_name) for ov_model_name in self._ov_model_names}
 
     @property
-    def ov_submodels(self) -> Dict[str, Union[openvino.Model, openvino.runtime.CompiledModel]]:
+    def ov_submodels(self) -> Dict[str, Union[openvino.Model, openvino.CompiledModel]]:
         logger.warn(
             "`ov_submodels` property is deprecated and will be removed in v1.27. Please use `ov_models` property instead."
         )

optimum/intel/openvino/modeling_diffusion.py

@@ -1452,7 +1452,7 @@ def _ov_model_names(self) -> List[str]:
         return self._component_names
 
     @property
-    def ov_models(self) -> Dict[str, Union[openvino.Model, openvino.runtime.CompiledModel]]:
+    def ov_models(self) -> Dict[str, Union[openvino.Model, openvino.CompiledModel]]:
         return {name: getattr(component, "model") for name, component in self.components.items()}
 
     @property

optimum/intel/openvino/modeling_visual_language.py

@@ -706,7 +706,7 @@ def _ov_model_names(self):
         return model_names
 
     @property
-    def ov_models(self) -> Dict[str, Union[openvino.Model, openvino.runtime.CompiledModel]]:
+    def ov_models(self) -> Dict[str, Union[openvino.Model, openvino.CompiledModel]]:
         ov_models = {}
         for ov_model_name in self._ov_model_names:
             if ov_model_name == "lm_model":

tests/openvino/test_modeling.py

@@ -283,15 +283,15 @@ def test_load_from_hub_and_save_visual_language_model(self):
                     tmpdirname, compile_only=True, device=OPENVINO_DEVICE
                 )
                 for ov_model in compile_only_model.ov_models.values():
-                    self.assertIsInstance(ov_model, ov.runtime.CompiledModel)
+                    self.assertIsInstance(ov_model, ov.CompiledModel)
                 for component_name, component in compile_only_model.components.items():
-                    self.assertIsInstance(component.model, ov.runtime.CompiledModel)
+                    self.assertIsInstance(component.model, ov.CompiledModel)
                     if component_name == "language_model":
-                        self.assertIsInstance(component.request, ov.runtime.InferRequest)
-                        self.assertIsInstance(component.text_emb_model, ov.runtime.CompiledModel)
-                        self.assertIsInstance(component.text_emb_request, ov.runtime.CompiledModel)
+                        self.assertIsInstance(component.request, ov.InferRequest)
+                        self.assertIsInstance(component.text_emb_model, ov.CompiledModel)
+                        self.assertIsInstance(component.text_emb_request, ov.CompiledModel)
                     else:
-                        self.assertIsInstance(component.request, ov.runtime.CompiledModel)
+                        self.assertIsInstance(component.request, ov.CompiledModel)
 
                 outputs = compile_only_model(**inputs)
                 self.assertTrue(torch.equal(loaded_model_outputs.logits, outputs.logits))