def testExtractPolyphonicSequences(self):
testing_lib.add_track_to_sequence(self.note_sequence, 0,
[(60, 100, 0.0, 4.0)])
quantized_sequence = sequences_lib.quantize_note_sequence(
self.note_sequence, steps_per_quarter=1)
seqs, _ = polyphony_lib.extract_polyphonic_sequences(
quantized_sequence)
self.assertEqual(1, len(seqs))
seqs, _ = polyphony_lib.extract_polyphonic_sequences(
quantized_sequence, min_steps_discard=2, max_steps_discard=5)
self.assertEqual(1, len(seqs))
self.note_sequence.notes[0].end_time = 1.0
self.note_sequence.total_time = 1.0
quantized_sequence = sequences_lib.quantize_note_sequence(
self.note_sequence, steps_per_quarter=1)
seqs, _ = polyphony_lib.extract_polyphonic_sequences(
quantized_sequence, min_steps_discard=3, max_steps_discard=5)
self.assertEqual(0, len(seqs))
self.note_sequence.notes[0].end_time = 10.0
self.note_sequence.total_time = 10.0
quantized_sequence = sequences_lib.quantize_note_sequence(
self.note_sequence, steps_per_quarter=1)
seqs, _ = polyphony_lib.extract_polyphonic_sequences(
quantized_sequence, min_steps_discard=3, max_steps_discard=5)
self.assertEqual(0, len(seqs))
def testExtractNonZeroStart(self):
testing_lib.add_track_to_sequence(self.note_sequence, 0,
[(60, 100, 0.0, 4.0)])
quantized_sequence = sequences_lib.quantize_note_sequence(
self.note_sequence, steps_per_quarter=1)
seqs, _ = polyphony_lib.extract_polyphonic_sequences(
quantized_sequence, start_step=4, min_steps_discard=1)
self.assertEqual(0, len(seqs))
seqs, _ = polyphony_lib.extract_polyphonic_sequences(
quantized_sequence, start_step=0, min_steps_discard=1)
self.assertEqual(1, len(seqs))
def transform(self, quantized_sequence):
poly_seqs, stats = polyphony_lib.extract_polyphonic_sequences(
quantized_sequence,
min_steps_discard=self._min_steps,
max_steps_discard=self._max_steps)
self._set_stats(stats)
return poly_seqs
def testExtractPolyphonicMultiProgram(self):
testing_lib.add_track_to_sequence(
self.note_sequence, 0,
[(60, 100, 0.0, 4.0), (64, 100, 0.0, 3.0), (67, 100, 1.0, 2.0)])
self.note_sequence.notes[0].program = 2
quantized_sequence = sequences_lib.quantize_note_sequence(
self.note_sequence, steps_per_quarter=1)
seqs, _ = polyphony_lib.extract_polyphonic_sequences(quantized_sequence)
self.assertEqual(0, len(seqs))
def testExtractPolyphonicMultiInstrument(self):
testing_lib.add_track_to_sequence(self.note_sequence, 0,
[(60, 100, 0.0, 4.0)])
testing_lib.add_track_to_sequence(self.note_sequence, 1,
[(60, 100, 0.0, 4.0)])
quantized_sequence = sequences_lib.quantize_note_sequence(
self.note_sequence, steps_per_quarter=1)
seqs, _ = polyphony_lib.extract_polyphonic_sequences(
quantized_sequence)
self.assertEqual(0, len(seqs))
def _generate(self, input_sequence, generator_options):
if len(generator_options.input_sections) > 1:
raise mm.SequenceGeneratorException(
'This model supports at most one input_sections message, but got %s'
% len(generator_options.input_sections))
if len(generator_options.generate_sections) != 1:
raise mm.SequenceGeneratorException(
'This model supports only 1 generate_sections message, but got %s'
% len(generator_options.generate_sections))
# This sequence will be quantized later, so it is guaranteed to have only 1
# tempo.
qpm = mm.DEFAULT_QUARTERS_PER_MINUTE
if input_sequence.tempos:
qpm = input_sequence.tempos[0].qpm
generate_section = generator_options.generate_sections[0]
if generator_options.input_sections:
input_section = generator_options.input_sections[0]
primer_sequence = mm.extract_subsequence(input_sequence,
input_section.start_time,
input_section.end_time)
input_start_step = self.seconds_to_steps(input_section.start_time,
qpm)
else:
primer_sequence = input_sequence
input_start_step = 0
last_end_time = (max(
n.end_time
for n in primer_sequence.notes) if primer_sequence.notes else 0)
if last_end_time > generate_section.start_time:
raise mm.SequenceGeneratorException(
'Got GenerateSection request for section that is before or equal to '
'the end of the NoteSequence. This model can only extend sequences. '
'Requested start time: %s, Final note end time: %s' %
(generate_section.start_time, last_end_time))
# Quantize the priming sequence.
quantized_primer_sequence = mm.quantize_note_sequence(
primer_sequence, self.steps_per_quarter)
extracted_seqs, _ = polyphony_lib.extract_polyphonic_sequences(
quantized_primer_sequence, start_step=input_start_step)
assert len(extracted_seqs) <= 1
generate_start_step = self.seconds_to_steps(
generate_section.start_time, qpm)
generate_end_step = self.seconds_to_steps(generate_section.end_time,
qpm)
if extracted_seqs and extracted_seqs[0]:
poly_seq = extracted_seqs[0]
else:
# If no track could be extracted, create an empty track that starts at the
# requested generate_start_step. This will result in a sequence that
# contains only the START token.
poly_seq = polyphony_lib.PolyphonicSequence(
steps_per_quarter=(quantized_primer_sequence.quantization_info.
steps_per_quarter),
start_step=generate_start_step)
# Ensure that the track extends up to the step we want to start generating.
poly_seq.set_length(generate_start_step - poly_seq.start_step)
# Trim any trailing end events to prepare the sequence for more events to be
# appended during generation.
poly_seq.trim_trailing_end_events()
# Extract generation arguments from generator options.
arg_types = {
'temperature': lambda arg: arg.float_value,
'beam_size': lambda arg: arg.int_value,
'branch_factor': lambda arg: arg.int_value,
'steps_per_iteration': lambda arg: arg.int_value
}
args = dict((name, value_fn(generator_options.args[name]))
for name, value_fn in arg_types.items()
if name in generator_options.args)
# Inject the priming sequence as melody in the output of the generator.
# Note that start_step is 0 because we overwrite poly_seq below. If we
# included the priming sequence in poly_seq, it would be poly_seq.num_steps.
melody_to_inject = copy.deepcopy(poly_seq)
args['modify_events_callback'] = partial(_inject_melody,
melody_to_inject, 0)
# Overwrite poly_seq with a blank sequence to feed into the generator so it
# is conditioned only on the melody events that are injected as the sequence
# is created. Otherwise, the generator would have to determine the most
# likely sequence to follow a monophonic line, which is something not
# present in the current training data (Bach Chorales).
poly_seq = polyphony_lib.PolyphonicSequence(
steps_per_quarter=(
quantized_primer_sequence.quantization_info.steps_per_quarter),
start_step=generate_start_step)
poly_seq.trim_trailing_end_events()
# If we wanted to include the priming sequence and didn't clear poly_seq
# above, this is how we would calculate total_steps.
# total_steps = poly_seq.num_steps + (
# generate_end_step - generate_start_step)
total_steps = generate_end_step - generate_start_step
while poly_seq.num_steps < total_steps:
# Assume it takes ~5 rnn steps to generate one quantized step.
# Can't know for sure until generation is finished because the number of
# notes per quantized step is variable.
steps_to_gen = total_steps - poly_seq.num_steps
rnn_steps_to_gen = 5 * steps_to_gen
tf.logging.info(
'Need to generate %d more steps for this sequence, will try asking '
'for %d RNN steps' % (steps_to_gen, rnn_steps_to_gen))
poly_seq = self._model.generate_polyphonic_sequence(
len(poly_seq) + rnn_steps_to_gen, poly_seq, **args)
poly_seq.set_length(total_steps)
# Specify a base_note_sequence because the priming sequence is not included
# in poly_seq. If we did not clear poly_seq above, then we would not want to
# specify a base_note_sequence.
generated_sequence = poly_seq.to_sequence(
qpm=qpm, base_note_sequence=copy.deepcopy(primer_sequence))
assert (generated_sequence.total_time -
generate_section.end_time) <= 1e-5
return generated_sequence
def _generate(self, input_sequence, generator_options):
if len(generator_options.input_sections) > 1:
raise mm.SequenceGeneratorException(
'This model supports at most one input_sections message, but got %s'
% len(generator_options.input_sections))
if len(generator_options.generate_sections) != 1:
raise mm.SequenceGeneratorException(
'This model supports only 1 generate_sections message, but got %s'
% len(generator_options.generate_sections))
# This sequence will be quantized later, so it is guaranteed to have only 1
# tempo.
qpm = mm.DEFAULT_QUARTERS_PER_MINUTE
if input_sequence.tempos:
qpm = input_sequence.tempos[0].qpm
generate_section = generator_options.generate_sections[0]
if generator_options.input_sections:
input_section = generator_options.input_sections[0]
primer_sequence = mm.extract_subsequence(input_sequence,
input_section.start_time,
input_section.end_time)
input_start_step = self.seconds_to_steps(input_section.start_time,
qpm)
else:
primer_sequence = input_sequence
input_start_step = 0
last_end_time = (max(
n.end_time
for n in primer_sequence.notes) if primer_sequence.notes else 0)
if last_end_time > generate_section.start_time:
raise mm.SequenceGeneratorException(
'Got GenerateSection request for section that is before or equal to '
'the end of the NoteSequence. This model can only extend sequences. '
'Requested start time: %s, Final note end time: %s' %
(generate_section.start_time, last_end_time))
# Quantize the priming sequence.
quantized_primer_sequence = mm.quantize_note_sequence(
primer_sequence, self.steps_per_quarter)
extracted_seqs, _ = polyphony_lib.extract_polyphonic_sequences(
quantized_primer_sequence, start_step=input_start_step)
assert len(extracted_seqs) <= 1
start_step = self.seconds_to_steps(generate_section.start_time, qpm)
end_step = self.seconds_to_steps(generate_section.end_time, qpm)
if extracted_seqs and extracted_seqs[0]:
poly_seq = extracted_seqs[0]
else:
# If no track could be extracted, create an empty track that starts 1 step
# before the request start_step. This will result in 1 step of silence
# when the track is extended below.
poly_seq = polyphony_lib.PolyphonicSequence(steps_per_quarter=(
quantized_primer_sequence.quantization_info.steps_per_quarter),
start_step=start_step)
# Ensure that the track extends up to the step we want to start generating.
poly_seq.set_length(start_step - poly_seq.start_step)
poly_seq.trim_trailing_end_and_step_end_events()
# Extract generation arguments from generator options.
arg_types = {
'temperature': lambda arg: arg.float_value,
'beam_size': lambda arg: arg.int_value,
'branch_factor': lambda arg: arg.int_value,
'steps_per_iteration': lambda arg: arg.int_value
}
args = dict((name, value_fn(generator_options.args[name]))
for name, value_fn in arg_types.items()
if name in generator_options.args)
total_steps = end_step - start_step
while poly_seq.num_steps < total_steps:
# Assume it takes ~5 rnn steps to generate one quantized step.
# Can't know for sure until generation is finished because the number of
# notes per quantized step is variable.
steps_to_gen = total_steps - poly_seq.num_steps
rnn_steps_to_gen = 5 * steps_to_gen
tf.logging.info(
'Need to generate %d more steps for this sequence, will try asking '
'for %d RNN steps' % (steps_to_gen, rnn_steps_to_gen))
poly_seq = self._model.generate_polyphonic_sequence(
len(poly_seq) + rnn_steps_to_gen, poly_seq, **args)
poly_seq.set_length(total_steps)
generated_sequence = poly_seq.to_sequence(qpm=qpm)
assert (generated_sequence.total_time -
generate_section.end_time) <= 1e-5
return generated_sequence