class_docstr: An adapter to work around old checkpoint format, where the keys are op
  names instead of tensor names (with :0).
class_docstr_tok: ["An","adapter","to","work","around","old","checkpoint","format",",","where","the","keys","are","op","names","instead","of","tensor","names","(","with",":0",")","."]
code: def has_tensor(self, name):
      return name in self._map
  
imports: import os
  import numpy
  import six
  from ..compat import tfv1
  from ..utils import logger
  from .common import get_op_tensor_name
  from .varmanip import SessionUpdate, get_checkpoint_path, get_savename_from_varname, is_training_name
label_desc: Use image node_id 4 for calling the CheckpointReaderAdapter obj's underlying member method code with example usage: obj.has_tensor(name) and returns: unknown