def testToNoteSequenceMultipleChunksWithChords(self):
sequence = copy.deepcopy(self.sequence)
testing_lib.add_track_to_sequence(sequence, 0, [
(64, 100, 0, 2),
(60, 100, 0, 4),
(67, 100, 2, 4),
(62, 100, 4, 6),
(59, 100, 4, 8),
(67, 100, 6, 8),
])
testing_lib.add_track_to_sequence(sequence,
1, [
(40, 100, 0, 0.125),
(50, 100, 0, 0.125),
(50, 100, 2, 2.125),
(40, 100, 4, 4.125),
(50, 100, 4, 4.125),
(50, 100, 6, 6.125),
],
is_drum=True)
testing_lib.add_chords_to_sequence(sequence, [('C', 0), ('G', 4)])
converter = data_hierarchical.MultiInstrumentPerformanceConverter(
hop_size_bars=4,
chunk_size_bars=2,
chord_encoding=mm.MajorMinorChordOneHotEncoding())
tensors = converter.to_tensors(sequence)
self.assertEqual(1, len(tensors.outputs))
sequences = converter.to_notesequences(tensors.outputs,
tensors.controls)
self.assertEqual(1, len(sequences))
self.assertProtoEquals(sequence, sequences[0])
def testToNoteSequenceMultipleChunks(self):
sequence = copy.deepcopy(self.sequence)
testing_lib.add_track_to_sequence(sequence, 0, [
(64, 100, 0, 2),
(60, 100, 0, 4),
(67, 100, 2, 4),
(62, 100, 4, 6),
(59, 100, 4, 8),
(67, 100, 6, 8),
])
testing_lib.add_track_to_sequence(sequence,
1, [
(40, 100, 0, 0.125),
(50, 100, 0, 0.125),
(50, 100, 2, 2.125),
(40, 100, 4, 4.125),
(50, 100, 4, 4.125),
(50, 100, 6, 6.125),
],
is_drum=True)
converter = data_hierarchical.MultiInstrumentPerformanceConverter(
hop_size_bars=4, chunk_size_bars=2)
tensors = converter.to_tensors(sequence)
self.assertEqual(1, len(tensors.outputs))
sequences = converter.to_notesequences(tensors.outputs)
self.assertEqual(1, len(sequences))
self.assertProtoEquals(sequence, sequences[0])
multiperf_hparams_big = merge_hparams(
lstm_models.get_default_hparams(),
HParams(batch_size=256,
max_seq_len=512,
z_size=512,
enc_rnn_size=[2048],
dec_rnn_size=[1024, 1024, 1024]))
CONFIG_MAP['hier-multiperf_vel_1bar_med'] = Config(
model=MusicVAE(multiperf_encoder, multiperf_decoder),
hparams=multiperf_hparams_med,
note_sequence_augmenter=data.NoteSequenceAugmenter(transpose_range=(-3,
3)),
data_converter=data_hierarchical.MultiInstrumentPerformanceConverter(
num_velocity_bins=8,
hop_size_bars=1,
max_num_instruments=8,
max_events_per_instrument=64,
),
train_examples_path=None,
eval_examples_path=None,
)
CONFIG_MAP['hier-multiperf_vel_1bar_big'] = Config(
model=MusicVAE(multiperf_encoder, multiperf_decoder),
hparams=multiperf_hparams_big,
note_sequence_augmenter=data.NoteSequenceAugmenter(transpose_range=(-3,
3)),
data_converter=data_hierarchical.MultiInstrumentPerformanceConverter(
num_velocity_bins=8,
hop_size_bars=1,
max_num_instruments=8,