def slerp_z_1(self, z0_name, z1_name, z_dst_name, amount):
if not self._proc:
raise Exception("can't slerp - no gansynth_worker process is running")
z0_buf = pyext.Buffer(z0_name)
z1_buf = pyext.Buffer(z1_name)
z_dst_buf = pyext.Buffer(z_dst_name)
z0_f64 = np.array(z0_buf, dtype=np.float64)
z1_f64 = np.array(z1_buf, dtype=np.float64)
self._write_msg(protocol.IN_TAG_SLERP_Z, protocol.to_slerp_z_msg(z0_f64, z1_f64, amount))
self._read_tag(protocol.OUT_TAG_Z)
out_count_msg = self._proc.stdout.read(protocol.count_struct.size)
out_count = protocol.from_count_msg(out_count_msg)
assert out_count == 1
z_msg = self._proc.stdout.read(protocol.z_struct.size)
z = protocol.from_z_msg(z_msg)
z32 = z.astype(np.float32)
if len(z_dst_buf) != len(z32):
z_dst_buf.resize(len(z32))
z_dst_buf[:] = z32
z_dst_buf.dirty()
self._outlet(1, "slerped")
def randomize_z_1(self, *buf_names):
if not self._proc:
raise Exception("can't randomize z - no gansynth_worker process is running")
in_count = len(buf_names)
if in_count == 0:
raise ValueError("no buffer name(s) specified")
in_count_msg = protocol.to_count_msg(in_count)
self._write_msg(protocol.IN_TAG_RAND_Z, in_count_msg)
self._read_tag(protocol.OUT_TAG_Z)
out_count_msg = self._proc.stdout.read(protocol.count_struct.size)
out_count = protocol.from_count_msg(out_count_msg)
assert out_count == in_count
for buf_name in buf_names:
z_msg = self._proc.stdout.read(protocol.z_struct.size)
z = protocol.from_z_msg(z_msg)
z32 = z.astype(np.float32)
buf = pyext.Buffer(buf_name)
if len(buf) != len(z32):
buf.resize(len(z32))
buf[:] = z32
buf.dirty()
self._outlet(1, "randomized")
def handle_gen_audio(model, stdin, stdout, state):
count_msg = read_msg(stdin, protocol.count_struct.size)
count = protocol.from_count_msg(count_msg)
pitches = []
zs = []
for i in range(count):
gen_msg = read_msg(stdin, protocol.gen_audio_struct.size)
pitch, z = protocol.from_gen_msg(gen_msg)
pitches.append(pitch)
zs.append(z)
layer_offsets = {}
if 'ganspace_component_amplitudes' in state:
components = state['ganspace_components']['comp']
std_devs = state['ganspace_components']['stdev']
edits = state['ganspace_component_amplitudes']
amounts = np.zeros(components.shape[:1], dtype=np.float32)
amounts[:len(list(map(float, edits)))] = edits * std_devs
scaled_directions = amounts.reshape(-1, 1, 1, 1) * components
linear_combination = np.sum(scaled_directions, axis=0)
linear_combination_batch = np.repeat(linear_combination.reshape(
1, *linear_combination.shape),
8,
axis=0)
layer_offsets[state['ganspace_components']
['layer']] = linear_combination_batch
z_arr = np.array(zs)
try:
audios = model.generate_samples_from_z(z_arr,
pitches,
layer_offsets=layer_offsets)
except KeyError as e:
print_err(
"can't synthesize - model was not trained on pitch {}".format(
e.args[0]))
audios = []
stdout.write(protocol.to_tag_msg(protocol.OUT_TAG_AUDIO))
stdout.write(protocol.to_count_msg(len(audios)))
for audio in audios:
stdout.write(protocol.to_audio_size_msg(audio.size * audio.itemsize))
stdout.write(protocol.to_audio_msg(audio))
stdout.flush()
def handle_hallucinate_noz(model, stdin, stdout, state):
max_note_length = model.config['audio_length']
sample_rate = model.config['sample_rate']
pca = state["ganspace_components"]
stdevs = pca["stdev"]
layer_dtype = stdevs.dtype
hallucinate_msg = read_msg(stdin, protocol.hallucinate_struct.size)
step_count, interpolation_steps, spacing, start_trim, attack, sustain, release = protocol.from_hallucinate_msg(
hallucinate_msg)
edit_count_msg = read_msg(stdin, protocol.count_struct.size)
edit_count = protocol.from_count_msg(edit_count_msg)
pitch = min(model.pitch_counts.keys())
steps = []
for i in range(step_count):
edits = []
for j in range(edit_count):
edit_msg = read_msg(stdin, protocol.f64_struct.size)
edit = protocol.from_f64_msg(edit_msg)
edits.append(edit)
steps.append(np.array(edits, dtype=layer_dtype))
steps = list(interpolate_edits(steps, interpolation_steps))
layer_steps = np.array(list(
map(lambda edits: make_layer(pca, edits), steps)),
dtype=layer_dtype)
pitch_steps = np.repeat([pitch], len(steps))
audios = model.generate_samples_from_layers({pca["layer"]: layer_steps},
pitch_steps)
final_audio = combine_notes(audios,
spacing=spacing,
start_trim=start_trim,
attack=attack,
sustain=sustain,
release=release,
max_note_length=max_note_length,
sr=sample_rate)
final_audio = final_audio.astype("float32")
stdout.write(protocol.to_tag_msg(protocol.OUT_TAG_AUDIO))
stdout.write(
protocol.to_audio_size_msg(final_audio.size * final_audio.itemsize))
stdout.write(protocol.to_audio_msg(final_audio))
stdout.flush()
def synthesize_1(self, *args):
if not self._proc:
raise Exception("can't synthesize - no gansynth_worker process is running")
arg_count = len(args)
if arg_count == 0 or arg_count % 3 != 0:
raise ValueError("invalid number of arguments ({}), should be a multiple of 3: synthesize z1 audio1 pitch1 [z2 audio2 pitch2 ...]".format(arg_count))
gen_audio_msgs = []
audio_buf_names = []
for i in range(0, arg_count, 3):
z_buf_name, audio_buf_name, pitch = args[i:i+3]
z32_buf = pyext.Buffer(z_buf_name)
z = np.array(z32_buf, dtype=np.float64)
gen_audio_msgs.append(protocol.to_gen_audio_msg(pitch, z))
audio_buf_names.append(audio_buf_name)
in_count = len(gen_audio_msgs)
in_count_msg = protocol.to_count_msg(in_count)
self._write_msg(protocol.IN_TAG_GEN_AUDIO, in_count_msg, *gen_audio_msgs)
self._read_tag(protocol.OUT_TAG_AUDIO)
out_count_msg = self._proc.stdout.read(protocol.count_struct.size)
out_count = protocol.from_count_msg(out_count_msg)
if out_count == 0:
return
assert out_count == in_count
for audio_buf_name in audio_buf_names:
audio_size_msg = self._proc.stdout.read(protocol.audio_size_struct.size)
audio_size = protocol.from_audio_size_msg(audio_size_msg)
audio_msg = self._proc.stdout.read(audio_size)
audio_note = protocol.from_audio_msg(audio_msg)
audio_buf = pyext.Buffer(audio_buf_name)
if len(audio_buf) != len(audio_note):
audio_buf.resize(len(audio_note))
audio_buf[:] = audio_note
audio_buf.dirty()
self._outlet(1, "synthesized")
def handle_rand_z(model, stdin, stdout, state):
"""
Generates a given number of new Z coordinates.
"""
count_msg = read_msg(stdin, protocol.count_struct.size)
count = protocol.from_count_msg(count_msg)
zs = model.generate_z(count)
stdout.write(protocol.to_tag_msg(protocol.OUT_TAG_Z))
stdout.write(protocol.to_count_msg(len(zs)))
for z in zs:
stdout.write(protocol.to_z_msg(z))
stdout.flush()
def load_ganspace_components_1(self, ganspace_components_file):
ganspace_components_file = os.path.join(
self._canvas_dir,
str(ganspace_components_file)
)
print("Loading GANSpace components...", file=sys.stderr)
size_msg = protocol.to_int_msg(len(ganspace_components_file))
components_msg = ganspace_components_file.encode('utf-8')
self._write_msg(protocol.IN_TAG_LOAD_COMPONENTS, size_msg, components_msg)
self._read_tag(protocol.OUT_TAG_LOAD_COMPONENTS)
count_msg = self._proc.stdout.read(protocol.count_struct.size)
self._component_count = protocol.from_count_msg(count_msg)
print_err("_component_count =", self._component_count)
buf = pyext.Buffer(self._edits_buf_name)
#buf.resize(component_count)
#buf.dirty()
print_err("GANSpace components loaded!")
def handle_synthesize_noz(model, stdin, stdout, state):
print_err("handle_synthesize_noz")
count_msg = read_msg(stdin, protocol.count_struct.size)
count = protocol.from_count_msg(count_msg)
pitches = []
for i in range(count):
gen_msg = read_msg(stdin, protocol.synthesize_noz_struct.size)
pitch = protocol.from_synthesize_noz_msg(gen_msg)
pitches.append(pitch)
pca = state["ganspace_components"]
stdevs = pca["stdev"]
layer_dtype = stdevs.dtype
edits = np.array(state["ganspace_component_amplitudes"], dtype=layer_dtype)
layer = make_layer(pca, edits)
layers = np.repeat([layer], len(pitches), axis=0)
try:
audios = model.generate_samples_from_layers({pca["layer"]: layers},
pitches)
except KeyError as e:
print_err(
"can't synthesize - model was not trained on pitch {}".format(
e.args[0]))
audios = []
stdout.write(protocol.to_tag_msg(protocol.OUT_TAG_AUDIO))
stdout.write(protocol.to_count_msg(len(audios)))
for audio in audios:
stdout.write(protocol.to_audio_size_msg(audio.size * audio.itemsize))
stdout.write(protocol.to_audio_msg(audio))
stdout.flush()
def synthesize_noz_1(self, *args):
if not self._proc:
raise Exception("can't synthesize - no gansynth_worker process is running")
arg_count = len(args)
if arg_count == 0 or arg_count % 2 != 0:
raise ValueError("invalid number of arguments ({}), should be a multiple of 2: synthesize_noz audio1 pitch1 [audio2 pitch2 ...]".format(arg_count))
component_buff = pyext.Buffer(self._edits_buf_name)
components = np.array(component_buff, dtype=np.float64)
component_msgs = []
for value in components:
component_msgs.append(protocol.to_float_msg(value))
for i in range(self._component_count - len(components)):
component_msgs.append(protocol.to_float_msg(0.0))
self._write_msg(protocol.IN_TAG_SET_COMPONENT_AMPLITUDES, *component_msgs)
gen_msgs = []
audio_buf_names = []
for i in range(0, arg_count, 2):
audio_buf_name, pitch = args[i:i+2]
gen_msgs.append(protocol.to_synthesize_noz_msg(pitch))
audio_buf_names.append(audio_buf_name)
in_count = len(gen_msgs)
in_count_msg = protocol.to_count_msg(in_count)
self._write_msg(protocol.IN_TAG_SYNTHESIZE_NOZ, in_count_msg, *gen_msgs)
self._read_tag(protocol.OUT_TAG_AUDIO)
out_count_msg = self._proc.stdout.read(protocol.count_struct.size)
out_count = protocol.from_count_msg(out_count_msg)
print_err("out_count =", out_count)
if out_count == 0:
print_err("no audio was synthesized!")
return
assert out_count == in_count
for audio_buf_name in audio_buf_names:
audio_size_msg = self._proc.stdout.read(protocol.audio_size_struct.size)
audio_size = protocol.from_audio_size_msg(audio_size_msg)
audio_msg = self._proc.stdout.read(audio_size)
audio_note = protocol.from_audio_msg(audio_msg)
audio_buf = pyext.Buffer(audio_buf_name)
if len(audio_buf) != len(audio_note):
audio_buf.resize(len(audio_note))
audio_buf[:] = audio_note
audio_buf.dirty()
self._outlet(1, "synthesized")
