class_docstr: The ModelGraph represents the network that is being processed by hls4ml.
  
  Args:
      config (dict):  The configuration dictionary
      layer_list (list(dict)):  The list contains a dictionary for each input layer
      inputs (list, optional):  The inputs to the model. If None, determined from layer_list
      outputs (list, optional):  The outputs to the model. If None, determined from layer_list
docstr: Replace an existing node in the graph with a new one.
  
  Args:
      old_node (Layer): The node to replace
      new_node (Layer): The new node
docstr_tok: ["Replace","an","existing","node","in","the","graph","with","a","new","one",".","Args",":","old_node","(","Layer",")",":","The","node","to","replace","new_node","(","Layer",")",":","The","new","node"]
imports: import ctypes
  import os
  import platform
  from collections import OrderedDict
  import numpy
  import numpy.ctypeslib
  from hls4ml.backends import get_backend
  from hls4ml.model.flow import get_flow
  from hls4ml.model.layers import layer_map
  from hls4ml.model.optimizer import get_available_passes, optimize_model
label_desc: Use image node_id 9 for calling the ModelGraph obj's underlying member method code with example usage: obj.replace_node(old_node, new_node) without return types