class_docstr: Represent a TensorFlow Lite custom function.
  
  This is uses to accumulate found hints in the graphdef into a single
  conceptual unit.
  
  Attributes:
    inputs: inputs to the op (hash from index # to argument)
    outputs: outputs to the op (hash from index # to argument)
    function_name: the tflite custom op name to use
    uuid: a unique call id for this particular call  (i.e. multiple function
      calls would have the same function_name but different uuids.
    params: A param name to key value for op constant data. I.e. for axis on a
      reduction, strides on a convolution, etc.
    level: Level of the OpHint.
    children_inputs_mappings: If the Ophint has children, children inputs
      mappings indicate how their inputs & outputs are mapped.
class_docstr_tok: ["Represent","a","TensorFlow","Lite","custom","function",".","This","is","uses","to","accumulate","found","hints","in","the","graphdef","into","a","single","conceptual","unit",".","Attributes",":","inputs",":","inputs","to","the","op","(","hash","from","index","#","to","argument",")","outputs",":","outputs","to","the","op","(","hash","from","index","#","to","argument",")","function_name",":","the","tflite","custom","op","name","to","use","uuid",":","a","unique","call","id","for","this","particular","call","(","i.e",".","multiple","function","calls","would","have","the","same","function_name","but","different","uuids",".","params",":","A","param","name","to","key","value","for","op","constant","data",".","I.e",".","for","axis","on","a","reduction",",","strides","on","a","convolution",",","etc",".","level",":","Level","of","the","OpHint",".","children_inputs_mappings",":","If","the","Ophint","has","children",",","children","inputs","mappings","indicate","how","their","inputs","&","outputs","are","mapped","."]
code: def __init__(self):
      self.inputs = {}
      self.outputs = {}
      self.function_name = None
      self.uuid = None
      self.params = {}
      self.level = -1
      self.children_inputs_mappings = {}
  
imports: import collections
  import copy
  import json
  import uuid
  from tensorflow.core.framework import attr_value_pb2
  from tensorflow.core.framework import graph_pb2
  from tensorflow.core.framework import node_def_pb2
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_util
  from tensorflow.python.framework.graph_util_impl import _bfs_for_reachable_nodes
  from tensorflow.python.framework.graph_util_impl import _extract_graph_summary
  from tensorflow.python.ops import array_ops
  from tensorflow.python.util import compat
  from tensorflow.python.util import deprecation
  from tensorflow.python.util.all_util import remove_undocumented
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 1 to create a new _LiteFuncCall object  with example: obj = _LiteFuncCall()