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","."]
code: def __repr__(self):
      if isinstance(
          self._type_spec, (tf.TensorSpec, tf.SparseTensorSpec)
      ):
          return (
              "<hub.ParsedTensorInfo shape=%s dtype=%s is_sparse=%s>"
              % (self.get_shape(), self.dtype.name, self.is_sparse)
          )
      else:
          return "<hub.ParsedTensorInfo type_spec=%s>" % self.type_spec
  
imports: import tensorflow
  from tensorflow_hub import tf_utils
label_desc: Use image node_id 9 for calling the ParsedTensorInfo obj's underlying member method code with example usage: obj.__repr__() and returns: unknown, unknown