data.py 文件源码

python
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项目:magenta 作者: tensorflow 项目源码 文件源码
def _to_notesequences(self, samples):
    output_sequences = []
    dim_ranges = np.cumsum(self._split_output_depths)
    for s in samples:
      mel_ns = self._melody_converter.to_notesequences(
          [s[:, :dim_ranges[0]]])[0]
      bass_ns = self._melody_converter.to_notesequences(
          [s[:, dim_ranges[0]:dim_ranges[1]]])[0]
      drums_ns = self._drums_converter.to_notesequences(
          [s[:, dim_ranges[1]:]])[0]

      for n in bass_ns.notes:
        n.instrument = 1
        n.program = ELECTRIC_BASS_PROGRAM
      for n in drums_ns.notes:
        n.instrument = 9

      ns = mel_ns
      ns.notes.extend(bass_ns.notes)
      ns.notes.extend(drums_ns.notes)
      ns.total_time = max(
          mel_ns.total_time, bass_ns.total_time, drums_ns.total_time)
      output_sequences.append(ns)
    return output_sequences
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