docstr: Setup the TF graph using the single function under test.
docstr_tok: ["Setup","the","TF","graph","using","the","single","function","under","test","."]
code: def BuildTfGraph(self, tflite_compatible=False):
      """Setup the TF graph using the single function under test."""
      if tflite_compatible:
          # tflite requires explicit input sizing.
          input_length = len(self._test_waveform)
      else:
          input_length = None
      with self._graph.as_default():
          waveform_input = tf.placeholder(tf.float32, [input_length])
          # This is the single function provided by the library.
          features = melspec_input.build_mel_calculation_graph(
              waveform_input, tflite_compatible=tflite_compatible
          )
      self._input = waveform_input
      self._output = features
  
imports: import tempfile
  from magenta.models.onsets_frames_transcription import melspec_input
  import numpy
  import tensorflow.compat.v1
label_desc: Use image node_id 3 for calling the MelspecInputTest obj's underlying member method code with example usage: obj.BuildTfGraph(tflite_compatible) without return types