class_docstr: Packed representation of compressed tensors.
  
  This class can pack and unpack several tensor values into a single string. It
  can also optionally store a model identifier.
  
  The tensors currently must be rank 1 (vectors) and either have integer or
  string type.
docstr: A model identifier.
code: def model(self):
      """A model identifier."""
      buf = self._example.features.feature["MD"].bytes_list.value[0]
      return buf.decode("ascii")
  
file_path: compression/tensorflow_compression/python/util/packed_tensors.py
imports: import tensorflow
label_desc: Use image node_id 2 for calling the PackedTensors obj's underlying member method code with example usage: obj.model() and returns: buf