class_docstr: A class that helps build tflite function invocations.
  
  It allows you to take a bunch of TensorFlow ops and annotate the construction
  such that toco knows how to convert it to tflite. This embeds a pseudo
  function in a TensorFlow graph. This allows embedding high-level API usage
  information in a lower level TensorFlow implementation so that an alternative
  implementation can be substituted later.
  
  Essentially, any "input" into this pseudo op is fed into an identity, and
  attributes are added to that input before being used by the constituent ops
  that make up the pseudo op. A similar process is done to any output that
  is to be exported from the current op.
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code: def _setattr(self, dest_op, name, value):
      tensor_value = _ops.convert_to_tensor(value)
      # pylint: disable=protected-access
      dest_op.op._set_attr(
          name,
          _attr_value_pb2.AttrValue(
              tensor=tensor_value.op.node_def.attr["value"].tensor
          ),
      )
  
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 3 for calling the OpHint obj's underlying member method code with example usage: obj._setattr(dest_op, name, value) without return types