style

Author: echarlaix

optimum/exporters/openvino/__main__.py

@@ -21,8 +21,6 @@
 
 from optimum.exporters import TasksManager
 from optimum.exporters.onnx.base import OnnxConfig
-
-
 from optimum.utils.save_utils import maybe_load_preprocessors
 
 from ...intel.utils.import_utils import (
@@ -165,7 +163,6 @@ def main_export(
     # default_config = _check_default_4bit_configs(config)
 
     if ov_config is None and compression_option is not None:
-
         from ...intel.openvino.configuration import OVConfig
 
         if compression_option == "fp16":

optimum/exporters/openvino/convert.py

@@ -32,7 +32,6 @@
 from optimum.exporters.onnx.convert import check_dummy_inputs_are_allowed
 from optimum.exporters.onnx.convert import export_pytorch as export_pytorch_to_onnx
 from optimum.exporters.onnx.convert import export_tensorflow as export_tensorflow_onnx
-
 from optimum.utils import DEFAULT_DUMMY_SHAPES, is_diffusers_available
 from optimum.utils.save_utils import maybe_save_preprocessors
 
@@ -48,6 +47,7 @@
     remove_none_from_dummy_inputs,
 )
 
+
 if is_optimum_version(">=", "1.16.99"):
     from optimum.exporters.onnx.utils import _get_submodels_and_onnx_configs
 
@@ -598,7 +598,6 @@ def export_from_model(
 
         if num_parameters >= _MAX_UNCOMPRESSED_SIZE:
             if is_nncf_available():
-
                 from ...intel.openvino.configuration import OVConfig
 
                 ov_config = OVConfig(quantization_config={"bits": 8})