Fixed pylint error

Signed-off-by: Cheng, Penghui <penghui.cheng@intel.com>

Author: PenghuiCheng

examples/neural_compressor/language-modeling/run_clm.py

@@ -59,6 +59,7 @@
 from optimum.intel.neural_compressor import INCModelForCausalLM, INCQuantizer, INCTrainer
 from optimum.intel.utils.import_utils import is_intel_extension_for_transformers_available
 
+
 if is_intel_extension_for_transformers_available():
     from intel_extension_for_transformers.transformers.utils.config import WeightOnlyQuantConfig
 

optimum/intel/neural_compressor/quantization.py

@@ -80,6 +80,7 @@
 if is_intel_extension_for_transformers_available():
     from intel_extension_for_transformers.llm.quantization.utils import convert_to_quantized_model
     from intel_extension_for_transformers.transformers.utils.config import WeightOnlyQuantConfig
+
     Config: TypeAlias = Union[PostTrainingQuantConfig, WeightOnlyQuantConfig]
 else:
     Config: TypeAlias = PostTrainingQuantConfig
@@ -212,7 +213,9 @@ def quantize(
             elif isinstance(quantization_config, WeightOnlyQuantConfig):
                 algo = quantization_config.algorithm
             else:
-                raise TypeError(f"For weight-only quantization, `quantization_config` should be an instance of `WeightOnlyQuantConfig`, but got: {type(quantization_config)} instead.")
+                raise TypeError(
+                    f"For weight-only quantization, `quantization_config` should be an instance of `WeightOnlyQuantConfig`, but got: {type(quantization_config)} instead."
+                )
 
             if calibration_dataset is None and ("GPTQ" in algo or "AWQ" in algo):
                 raise ValueError(