def setUp(self):
self._num_velocity_bins = 32
self._max_shift_steps = 100
self.enc = ModuloPerformanceEventSequenceEncoderDecoder(
num_velocity_bins=self._num_velocity_bins,
max_shift_steps=self._max_shift_steps)
self._expected_input_size = (
2 * performance_encoder_decoder.MODULO_PITCH_ENCODER_WIDTH +
performance_encoder_decoder.MODULO_VELOCITY_ENCODER_WIDTH +
performance_encoder_decoder.MODULO_TIME_SHIFT_ENCODER_WIDTH)
self._expected_num_classes = (self._num_velocity_bins +
self._max_shift_steps + 2 *
(performance_lib.MAX_MIDI_PITCH -
performance_lib.MIN_MIDI_PITCH + 1))
def setUp(self):
self._num_velocity_bins = 32
self._max_shift_steps = 100
self.enc = ModuloPerformanceEventSequenceEncoderDecoder(
num_velocity_bins=self._num_velocity_bins,
max_shift_steps=self._max_shift_steps)
self._expected_input_size = (
2 * performance_encoder_decoder.MODULO_PITCH_ENCODER_WIDTH +
performance_encoder_decoder.MODULO_VELOCITY_ENCODER_WIDTH +
performance_encoder_decoder.MODULO_TIME_SHIFT_ENCODER_WIDTH)
self._expected_num_classes = (self._num_velocity_bins +
self._max_shift_steps +
2 * (performance_lib.MAX_MIDI_PITCH -
performance_lib.MIN_MIDI_PITCH + 1))
class ModuloPerformanceEventSequenceEncoderTest(tf.test.TestCase):
"""Test class for ModuloPerformanceEventSequenceEncoder.
ModuloPerformanceEventSequenceEncoderDecoder is tightly coupled with the
PerformanceModuloEncoding, and PerformanceOneHotEncoding classes. As a result,
in the test set up, the test object is initialized with one of each objects
and tested accordingly. Since this class only modifies the input encoding
of performance events, and otherwise its treatment of labels is the same as
OneHotEventSequenceEncoderDecoder, the events_to_labels(), and
class_index_to_event() methods of the class are not tested.
"""
def setUp(self):
self._num_velocity_bins = 32
self._max_shift_steps = 100
self.enc = ModuloPerformanceEventSequenceEncoderDecoder(
num_velocity_bins=self._num_velocity_bins,
max_shift_steps=self._max_shift_steps)
self._expected_input_size = (
2 * performance_encoder_decoder.MODULO_PITCH_ENCODER_WIDTH +
performance_encoder_decoder.MODULO_VELOCITY_ENCODER_WIDTH +
performance_encoder_decoder.MODULO_TIME_SHIFT_ENCODER_WIDTH)
self._expected_num_classes = (self._num_velocity_bins +
self._max_shift_steps +
2 * (performance_lib.MAX_MIDI_PITCH -
performance_lib.MIN_MIDI_PITCH + 1))
def testInputSize(self):
self.assertEqual(self._expected_input_size, self.enc.input_size)
def testNumClasses(self):
self.assertEqual(self._expected_num_classes, self.enc.num_classes)
def testDefaultEventLabel(self):
label = self._expected_num_classes - self._num_velocity_bins - 1
self.assertEqual(label, self.enc.default_event_label)
def testEventsToInput(self):
num_shift_bins = self._max_shift_steps
num_velocity_bins = self._num_velocity_bins
slow_base = 2.0 * pi / 144.0
fast_base = 2.0 * pi / 12.0
shift_base = 2.0 * pi / num_shift_bins
velocity_base = 2.0 * pi / num_velocity_bins
expected_pairs = [
(PerformanceEvent(event_type=PerformanceEvent.NOTE_ON, event_value=60),
[1.0, cos(60.0 * slow_base), sin(60.0 * slow_base),
cos(60.0 * fast_base), sin(60.0 * fast_base),
0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]),
(PerformanceEvent(event_type=PerformanceEvent.NOTE_ON, event_value=0),
[1.0, cos(0.0 * slow_base), sin(0.0 * slow_base),
cos(0.0 * fast_base), sin(0.0 * fast_base),
0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]),
(PerformanceEvent(event_type=PerformanceEvent.NOTE_ON, event_value=127),
[1.0, cos(127.0 * slow_base), sin(127.0 * slow_base),
cos(127.0 * fast_base), sin(127.0 * fast_base),
0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]),
(PerformanceEvent(event_type=PerformanceEvent.NOTE_OFF, event_value=72),
[0.0, 0.0, 0.0, 0.0, 0.0, 1.0,
cos(72.0 * slow_base), sin(72.0 * slow_base),
cos(72.0 * fast_base), sin(72.0 * fast_base),
0.0, 0.0, 0.0, 0.0, 0.0, 0.0]),
(PerformanceEvent(event_type=PerformanceEvent.NOTE_OFF, event_value=0),
[0.0, 0.0, 0.0, 0.0, 0.0, 1.0,
cos(0.0 * slow_base), sin(0.0 * slow_base),
cos(0.0 * fast_base), sin(0.0 * fast_base),
0.0, 0.0, 0.0, 0.0, 0.0, 0.0]),
(PerformanceEvent(
event_type=PerformanceEvent.NOTE_OFF, event_value=127),
[0.0, 0.0, 0.0, 0.0, 0.0, 1.0,
cos(127.0 * slow_base), sin(127.0 * slow_base),
cos(127.0 * fast_base), sin(127.0 * fast_base),
0.0, 0.0, 0.0, 0.0, 0.0, 0.0]),
(PerformanceEvent(
event_type=PerformanceEvent.TIME_SHIFT, event_value=10),
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
1.0, cos(9.0 * shift_base), sin(9.0 * shift_base),
0.0, 0.0, 0.0]),
(PerformanceEvent(
event_type=PerformanceEvent.TIME_SHIFT, event_value=1),
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
1.0, cos(0.0 * shift_base), sin(0.0 * shift_base),
0.0, 0.0, 0.0]),
(PerformanceEvent(
event_type=PerformanceEvent.TIME_SHIFT, event_value=100),
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
1.0, cos(99.0 * shift_base), sin(99.0 * shift_base),
0.0, 0.0, 0.0]),
(PerformanceEvent(event_type=PerformanceEvent.VELOCITY, event_value=5),
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
0.0, 0.0, 0.0,
1.0, cos(4.0 * velocity_base), sin(4.0 * velocity_base)]),
(PerformanceEvent(event_type=PerformanceEvent.VELOCITY, event_value=1),
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
0.0, 0.0, 0.0,
1.0, cos(0.0 * velocity_base), sin(0.0 * velocity_base)]),
(PerformanceEvent(event_type=PerformanceEvent.VELOCITY, event_value=16),
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
0.0, 0.0, 0.0,
1.0, cos(15.0 * velocity_base), sin(15.0 * velocity_base)]),
]
events = []
position = 0
for event, expected_encoded_modulo_event in expected_pairs:
events += [event]
actual_encoded_modulo_event = self.enc.events_to_input(events, position)
position += 1
for i in range(self._expected_input_size):
self.assertAlmostEqual(expected_encoded_modulo_event[i],
actual_encoded_modulo_event[i])
class ModuloPerformanceEventSequenceEncoderTest(tf.test.TestCase):
"""Test class for ModuloPerformanceEventSequenceEncoder.
ModuloPerformanceEventSequenceEncoderDecoder is tightly coupled with the
PerformanceModuloEncoding, and PerformanceOneHotEncoding classes. As a result,
in the test set up, the test object is initialized with one of each objects
and tested accordingly. Since this class only modifies the input encoding
of performance events, and otherwise its treatment of labels is the same as
OneHotEventSequenceEncoderDecoder, the events_to_labels(), and
class_index_to_event() methods of the class are not tested.
"""
def setUp(self):
self._num_velocity_bins = 32
self._max_shift_steps = 100
self.enc = ModuloPerformanceEventSequenceEncoderDecoder(
num_velocity_bins=self._num_velocity_bins,
max_shift_steps=self._max_shift_steps)
self._expected_input_size = (
2 * performance_encoder_decoder.MODULO_PITCH_ENCODER_WIDTH +
performance_encoder_decoder.MODULO_VELOCITY_ENCODER_WIDTH +
performance_encoder_decoder.MODULO_TIME_SHIFT_ENCODER_WIDTH)
self._expected_num_classes = (self._num_velocity_bins +
self._max_shift_steps + 2 *
(performance_lib.MAX_MIDI_PITCH -
performance_lib.MIN_MIDI_PITCH + 1))
def testInputSize(self):
self.assertEquals(self._expected_input_size, self.enc.input_size)
def testNumClasses(self):
self.assertEqual(self._expected_num_classes, self.enc.num_classes)
def testDefaultEventLabel(self):
label = self._expected_num_classes - self._num_velocity_bins - 1
self.assertEquals(label, self.enc.default_event_label)
def testEventsToInput(self):
num_shift_bins = self._max_shift_steps
num_velocity_bins = self._num_velocity_bins
slow_base = 2.0 * pi / 144.0
fast_base = 2.0 * pi / 12.0
shift_base = 2.0 * pi / num_shift_bins
velocity_base = 2.0 * pi / num_velocity_bins
expected_pairs = [
(PerformanceEvent(event_type=PerformanceEvent.NOTE_ON,
event_value=60), [
1.0,
cos(60.0 * slow_base),
sin(60.0 * slow_base),
cos(60.0 * fast_base),
sin(60.0 * fast_base), 0.0, 0.0, 0.0, 0.0,
0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0
]),
(PerformanceEvent(event_type=PerformanceEvent.NOTE_ON,
event_value=0), [
1.0,
cos(0.0 * slow_base),
sin(0.0 * slow_base),
cos(0.0 * fast_base),
sin(0.0 * fast_base), 0.0, 0.0, 0.0, 0.0,
0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0
]),
(PerformanceEvent(event_type=PerformanceEvent.NOTE_ON,
event_value=127), [
1.0,
cos(127.0 * slow_base),
sin(127.0 * slow_base),
cos(127.0 * fast_base),
sin(127.0 * fast_base), 0.0, 0.0, 0.0, 0.0,
0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0
]),
(PerformanceEvent(event_type=PerformanceEvent.NOTE_OFF,
event_value=72), [
0.0, 0.0, 0.0, 0.0, 0.0, 1.0,
cos(72.0 * slow_base),
sin(72.0 * slow_base),
cos(72.0 * fast_base),
sin(72.0 * fast_base), 0.0, 0.0, 0.0, 0.0,
0.0, 0.0
]),
(PerformanceEvent(event_type=PerformanceEvent.NOTE_OFF,
event_value=0), [
0.0, 0.0, 0.0, 0.0, 0.0, 1.0,
cos(0.0 * slow_base),
sin(0.0 * slow_base),
cos(0.0 * fast_base),
sin(0.0 * fast_base), 0.0, 0.0, 0.0, 0.0,
0.0, 0.0
]),
(PerformanceEvent(event_type=PerformanceEvent.NOTE_OFF,
event_value=127), [
0.0, 0.0, 0.0, 0.0, 0.0, 1.0,
cos(127.0 * slow_base),
sin(127.0 * slow_base),
cos(127.0 * fast_base),
sin(127.0 * fast_base), 0.0, 0.0, 0.0, 0.0,
0.0, 0.0
]),
(PerformanceEvent(event_type=PerformanceEvent.TIME_SHIFT,
event_value=10), [
0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
0.0, 1.0,
cos(9.0 * shift_base),
sin(9.0 * shift_base), 0.0, 0.0, 0.0
]),
(PerformanceEvent(event_type=PerformanceEvent.TIME_SHIFT,
event_value=1), [
0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
0.0, 1.0,
cos(0.0 * shift_base),
sin(0.0 * shift_base), 0.0, 0.0, 0.0
]),
(PerformanceEvent(event_type=PerformanceEvent.TIME_SHIFT,
event_value=100), [
0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
0.0, 1.0,
cos(99.0 * shift_base),
sin(99.0 * shift_base), 0.0, 0.0, 0.0
]),
(PerformanceEvent(event_type=PerformanceEvent.VELOCITY,
event_value=5), [
0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
0.0, 0.0, 0.0, 0.0, 1.0,
cos(4.0 * velocity_base),
sin(4.0 * velocity_base)
]),
(PerformanceEvent(event_type=PerformanceEvent.VELOCITY,
event_value=1), [
0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
0.0, 0.0, 0.0, 0.0, 1.0,
cos(0.0 * velocity_base),
sin(0.0 * velocity_base)
]),
(PerformanceEvent(event_type=PerformanceEvent.VELOCITY,
event_value=16), [
0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
0.0, 0.0, 0.0, 0.0, 1.0,
cos(15.0 * velocity_base),
sin(15.0 * velocity_base)
]),
]
events = []
position = 0
for event, expected_encoded_modulo_event in expected_pairs:
events += [event]
actual_encoded_modulo_event = self.enc.events_to_input(
events, position)
position += 1
for i in range(self._expected_input_size):
self.assertAlmostEqual(expected_encoded_modulo_event[i],
actual_encoded_modulo_event[i])
