class_docstr: JSON encoder and decoder that handles TensorShapes and tuples.
class_docstr_tok: ["JSON","encoder","and","decoder","that","handles","TensorShapes","and","tuples","."]
code: def encode(self, obj):
      return super(Encoder, self).encode(_encode_tuple(obj))
  
file_path: tensorflow-upstream/tensorflow/python/keras/saving/saved_model/json_utils.py
imports: import collections
  import enum
  import json
  import numpy
  import wrapt
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import type_spec_registry
  from tensorflow.python.types import internal
label_desc: Use image node_id 2 for calling the Encoder obj's underlying member method code with example usage: obj.encode(obj) and returns: super