class_docstr: Represents a debugger-decorated graph.
docstr: Prune nodes out of input and recipient maps.
  
  Args:
    nodes_to_prune: (`list` of `str`) Names of the nodes to be pruned.
docstr_tok: ["Prune","nodes","out","of","input","and","recipient","maps",".","Args",":","nodes_to_prune",":","(","`","list","`","of","`","str","`",")","Names","of","the","nodes","to","be","pruned","."]
code: def _prune_nodes_from_input_and_recipient_maps(self, nodes_to_prune):
      """Prune nodes out of input and recipient maps.
  
      Args:
        nodes_to_prune: (`list` of `str`) Names of the nodes to be pruned.
      """
      for node in nodes_to_prune:
          del self._node_inputs[node]
          del self._node_ctrl_inputs[node]
          del self._node_recipients[node]
          del self._node_ctrl_recipients[node]
  
imports: from tensorflow.core.framework import graph_pb2
  from tensorflow.python.framework import op_def_registry
  from tensorflow.python.platform import tf_logging
label_desc: Use image node_id 8 for calling the DebugGraph obj's underlying member method code with example usage: obj._prune_nodes_from_input_and_recipient_maps(nodes_to_prune) without return types