code: def __init__(self, tf_ssa, inputs=None, outputs=None, **kwargs):
      TFConverter.__init__(self, tf_ssa, inputs, outputs, **kwargs)
  
      # Overwrite tensorflow_passes
      # TF 2.x uses different set of graph passes
      self.tensorflow_passes = tensorflow2_passes
  
imports: from coremltools.converters.mil.frontend.tensorflow.converter import TFConverter
  from coremltools.converters.mil.frontend.tensorflow.basic_graph_ops import simple_topsort
  from .ssa_passes.tf_passes import tensorflow_passes
label_desc: Use image node_id 1 to create a new TF2Converter object from inherited base classes: TFConverter with example: obj = TF2Converter(tf_ssa, inputs, outputs)