class_docstr: This is a tensor-looking object with information about a Tensor.
  
  This class provides a subset of methods and attributes provided by real
  instantiated Tensor/SparseTensors/CompositeTensors in a graph such that code
  designed to handle instances of it would mostly work in real Tensors.
class_docstr_tok: ["This","is","a","tensor-looking","object","with","information","about","a","Tensor",".","This","class","provides","a","subset","of","methods","and","attributes","provided","by","real","instantiated","Tensor\/SparseTensors\/CompositeTensors","in","a","graph","such","that","code","designed","to","handle","instances","of","it","would","mostly","work","in","real","Tensors","."]
docstr: `tf.TypeSpec` describing this value's type.
docstr_tok: ["`","tf.TypeSpec","`","describing","this","value","'s","type","."]
code: def type_spec(self):
      """`tf.TypeSpec` describing this value's type."""
      return self._type_spec
  
imports: import tensorflow
  from tensorflow_hub import tf_utils
label_desc: Use image node_id 7 for calling the ParsedTensorInfo obj's underlying member method code with example usage: obj.type_spec() and returns: self