docstr: Verify output of tflite interpreter matches plain TF output.
docstr_tok: ["Verify","output","of","tflite","interpreter","matches","plain","TF","output","."]
code: def testTfLiteGraphUnderTfLite(self):
      """Verify output of tflite interpreter matches plain TF output."""
      self.BuildTfGraph(tflite_compatible=True)
      tf_output = self.RunTfGraph()
      # Graph is now built in the current session, ready for tflite conversion.
      tflite_filename = self.RunTfliteCompiler()
      # Run the tflite model with the tflite interpreter.
      tflite_output = self.RunTfliteModel(tflite_filename)
      # Be satisfied with 1 d.p. (i.e., 2 sf) agreement.
      # At 2 d.p., we got 0.07% disagreement, probably just 1 value.)
      np.testing.assert_array_almost_equal(
          tflite_output[0], tf_output[0], decimal=1
      )
  
imports: import tempfile
  from magenta.models.onsets_frames_transcription import melspec_input
  import numpy
  import tensorflow.compat.v1
label_desc: Use image node_id 13 for calling the MelspecInputTest obj's underlying member method code with example usage: obj.testTfLiteGraphUnderTfLite() without return types