code: def generate_dummy_inputs(
      self,
      processor: "ProcessorMixin",
      batch_size: int = -1,
      seq_length: int = -1,
      framework: Optional["TensorType"] = None,
  ) -> Mapping[str, Any]:
      text_input_dict = super().generate_dummy_inputs(
          processor.tokenizer,
          batch_size=batch_size,
          seq_length=seq_length,
          framework=framework,
      )
      image_input_dict = super().generate_dummy_inputs(
          processor.image_processor,
          batch_size=batch_size,
          framework=framework,
      )
      return {**text_input_dict, **image_input_dict}
  
imports: import os
  from collections import OrderedDict
  from typing import TYPE_CHECKING, Any, Mapping, Optional, Union
  from ...configuration_utils import PretrainedConfig
  from ...onnx import OnnxConfig
  from ...utils import logging
label_desc: Use image node_id 4 for calling the CLIPOnnxConfig obj's underlying member method code with example usage: obj.generate_dummy_inputs(processor, batch_size, seq_length, framework) and returns: dict