Make check dummy inputs import conditional in quantizer

Author: eaidova

optimum/intel/openvino/quantization.py

@@ -44,7 +44,6 @@
 from transformers.pytorch_utils import Conv1D
 from transformers.utils import is_accelerate_available
 
-from optimum.exporters.onnx.convert import check_dummy_inputs_are_allowed
 from optimum.exporters.tasks import TasksManager
 from optimum.quantization_base import OptimumQuantizer
 
@@ -524,6 +523,8 @@ def _quantize_torchmodel(
 
         quantization_config = ov_config.quantization_config
         if isinstance(quantization_config, OVWeightQuantizationConfig):
+            from optimum.exporters.onnx.convert import check_dummy_inputs_are_allowed
+
             if stateful:
                 # patch model before weight compression
                 model = patch_model_with_bettertransformer(model)