style

Author: echarlaix

optimum/intel/openvino/modeling_base.py

@@ -152,12 +152,10 @@ def _save_pretrained(self, save_directory: Union[str, Path]):
 
     def _save_openvino_config(self, save_directory: Union[str, Path]):
         if self._openvino_config is not None:
-
             if not isinstance(self._openvino_config.quantization_config.dataset, (str, type(None))):
                 self._openvino_config.quantization_config.dataset = None
-            
-            self._openvino_config.save_pretrained(save_directory)
 
+            self._openvino_config.save_pretrained(save_directory)
 
     @classmethod
     def _from_pretrained(

optimum/intel/openvino/modeling_decoder.py

@@ -12,9 +12,9 @@
 #  See the License for the specific language governing permissions and
 #  limitations under the License.
 
+import copy
 import logging
 import os
-import copy
 from pathlib import Path
 from tempfile import TemporaryDirectory
 from typing import Dict, Optional, Tuple, Union

tests/openvino/test_quantization.py

@@ -109,7 +109,6 @@ def preprocess_function(examples, tokenizer):
             loaded_config = OVConfig.from_pretrained(tmp_dir)
             self.assertEqual(DEFAULT_QUANTIZATION_CONFIG, loaded_config.to_dict()["compression"])
 
-
     @parameterized.expand(SUPPORTED_ARCHITECTURES_WITH_EXPECTED_QUANTIZED_MATMULS)
     def test_ovmodel_static_quantization(self, model_cls, model_name, expected_fake_quantize, expected_int8):
         task = model_cls.export_feature