code: def _get_input_output_size(input_layer, transformer):
      if transformer is not None:
          return transformer.output_size
      return input_layer.output_size
  
file_path: OMLT/src/omlt/io/onnx_parser.py
imports: import math
  import numpy
  from onnx import numpy_helper
  from omlt.neuralnet.layer import ConvLayer2D, DenseLayer, IndexMapper, InputLayer, PoolingLayer2D
  from omlt.neuralnet.network_definition import NetworkDefinition
label_desc: Use image node_id 3 for calling a global function with example usage: _get_input_output_size(input_layer, transformer) and returns: input_layer, transformer