code: def __init__(
      self,
      context,
      converters,
      opset_version,
      explicit_input_names,
      network_outputs,
  ):
      self.context = context
      self.converters = converters
  
      self.graph = []
      self.func_name_counts = collections.defaultdict(int)
      self.outputs = set()  # Output variable names
      self.specified_opset_version = opset_version
      self.explicit_input_names = explicit_input_names
      self.network_outputs = network_outputs
  
      self.function_nodes = self._build_computational_graph(
          network_outputs.values()
      )
  
file_path: chainer/onnx_chainer/graph.py
imports: import collections
  from collections import OrderedDict
  import heapq
  import chainer
  from onnx_chainer.functions.converter import FunctionConverterParams
  from onnx_chainer import onnx_helper
label_desc: Use image node_id 1 to create a new Graph object from inherited base classes: object with example: obj = Graph(context, converters, opset_version, explicit_input_names, network_outputs)