fix config saving when config initialization without parametes is not…

… implemented

optimum/exporters/openvino/convert.py

@@ -63,6 +63,7 @@
     _get_open_clip_submodels_fn_and_export_configs,
     clear_class_registry,
     remove_none_from_dummy_inputs,
+    save_config,
 )
 
 
@@ -379,7 +380,9 @@ def ts_patched_forward(*args, **kwargs):
                 if patch_16bit_model:
                     from openvino.frontend.pytorch.patch_model import __make_16bit_traceable
 
+                    logging.disable(logging.WARNING)
                     __make_16bit_traceable(model)
+                    logging.disable(logging.NOTSET)
                 check_dummy_inputs_are_allowed(model, dummy_inputs)
                 input_info = _get_input_info(model, config, dummy_inputs)
                 ov_model = convert_model(
@@ -644,7 +647,10 @@ def export_from_model(
         files_subpaths = ["openvino_" + model_name + ".xml" for model_name in models_and_export_configs.keys()]
     elif library_name != "diffusers":
         if is_transformers_version(">=", "4.44.99"):
-            misplaced_generation_parameters = model.config._get_non_default_generation_parameters()
+            try:
+                misplaced_generation_parameters = model.config._get_non_default_generation_parameters()
+            except Exception:
+                misplaced_generation_parameters = {}
             if isinstance(model, GenerationMixin) and len(misplaced_generation_parameters) > 0:
                 logger.warning(
                     "Moving the following attributes in the config to the generation config: "
@@ -656,7 +662,7 @@ def export_from_model(
                     setattr(model.config, param_name, None)
 
         # Saving the model config and preprocessor as this is needed sometimes.
-        model.config.save_pretrained(output)
+        save_config(output, model.config)
         generation_config = getattr(model, "generation_config", None)
         if generation_config is not None:
             try:

optimum/exporters/openvino/utils.py

@@ -14,6 +14,7 @@
 
 import inspect
 from collections import namedtuple
+from pathlib import Path
 from typing import Any, Callable, Dict, List, Optional, Tuple, Union
 
 from transformers.utils import is_torch_available
@@ -209,3 +210,13 @@ def get_submodels(model):
 
 
 MULTI_MODAL_TEXT_GENERATION_MODELS = ["llava", "llava-next", "llava-qwen2", "internvl-chat", "minicpmv"]
+
+
+def save_config(save_dir, config):
+    try:
+        config.save_pretrained(save_dir)
+    except Exception:
+        save_dir = Path(save_dir)
+        save_dir.mkdir(exist_ok=True)
+        output_config_file = Path(save_dir / "config.json")
+        config.to_json_file(output_config_file, use_diff=True)

optimum/intel/openvino/modeling_base.py

@@ -135,7 +135,10 @@ def __init__(
             self.generation_config = generation_config or GenerationConfig.from_model_config(config)
 
             if is_transformers_version(">=", "4.44.99"):
-                misplaced_generation_parameters = self.config._get_non_default_generation_parameters()
+                try:
+                    misplaced_generation_parameters = self.config._get_non_default_generation_parameters()
+                except Exception:
+                    misplaced_generation_parameters = {}
                 if len(misplaced_generation_parameters) > 0:
                     logger.warning(
                         "Moving the following attributes in the config to the generation config: "

optimum/intel/openvino/modeling_visual_language.py

@@ -16,6 +16,7 @@
 
 from ...exporters.openvino import main_export
 from ...exporters.openvino.stateful import ensure_stateful_is_available, model_has_input_output_name
+from ...exporters.openvino.utils import save_config
 from .configuration import OVConfig, OVWeightQuantizationConfig
 from .modeling_base import OVBaseModel, OVModelPart
 from .modeling_decoder import CausalLMOutputWithPast, OVModelForCausalLM
@@ -346,6 +347,13 @@ def _save_pretrained(self, save_directory: Union[str, Path]):
                     f"The generation config will not be saved, saving failed with following error:\n{exception}"
                 )
 
+    def _save_config(self, save_directory):
+        """
+        Saves a model configuration into a directory, so that it can be re-loaded using the
+        [`from_pretrained`] class method.
+        """
+        save_config(save_directory, self.config)
+
     @classmethod
     def _from_pretrained(
         cls,