class_docstr: OnnxModule is as a replacement of torch.nn.Module for running forward pass with onnxruntime.
  
  The module can be generated with MultiModalPredictor.export_tensorrt(),
  so that we can predict with TensorRT by simply replacing predictor._model with OnnxModule.
docstr: A dummy function that act as torch.nn.Module.to() function
code: def to(self, *args):
      """A dummy function that act as torch.nn.Module.to() function"""
  
      class DummyModel:
          def eval():
              pass
  
      return DummyModel
  
file_path: autogluon/multimodal/src/autogluon/multimodal/utils/onnx.py
imports: import logging
  import os
  from typing import Dict, List, Optional, Tuple, Union
  from torch import tensor
  from ..constants import AUTOMM, FEATURE_EXTRACTION, MULTICLASS
label_desc: Use image node_id 3 for calling the OnnxModule obj's underlying member method code with example usage: obj.to() and returns: DummyModel