class_docstr: Builds graph for a Note RNN and instantiates weights from a checkpoint.
  
  Loads weights from a previously saved checkpoint file corresponding to a pre-
  trained basic_rnn model. Has functions that allow it to be primed with a MIDI
  melody, and allow it to be called to produce its predictions for the next
  note in a sequence.
  
  Used as part of the RLTuner class.
class_docstr_tok: ["Builds","graph","for","a","Note","RNN","and","instantiates","weights","from","a","checkpoint",".","Loads","weights","from","a","previously","saved","checkpoint","file","corresponding","to","a","pre-","trained","basic_rnn","model",".","Has","functions","that","allow","it","to","be","primed","with","a","MIDI","melody",",","and","allow","it","to","be","called","to","produce","its","predictions","for","the","next","note","in","a","sequence",".","Used","as","part","of","the","RLTuner","class","."]
docstr: Gets names of all the variables in the graph belonging to this model.
  
  Returns:
    List of variable names.
docstr_tok: ["Gets","names","of","all","the","variables","in","the","graph","belonging","to","this","model",".","Returns",":","List","of","variable","names","."]
code: def variables(self):
      """Gets names of all the variables in the graph belonging to this model.
  
      Returns:
        List of variable names.
      """
      with self.graph.as_default():
          return [
              v
              for v in tf.global_variables()
              if v.name.startswith(self.scope)
          ]
  
imports: import os
  from magenta.common import sequence_example_lib
  from magenta.models.rl_tuner import rl_tuner_ops
  from magenta.models.shared import events_rnn_graph
  from magenta.pipelines import melody_pipelines
  import note_seq
  from note_seq import midi_io
  from note_seq import sequences_lib
  import numpy
  import tensorflow.compat.v1
  import tf_slim
label_desc: Use image node_id 15 for calling the NoteRNNLoader obj's underlying member method code with example usage: obj.variables() and returns: unknown