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from pathlib import Path
import random
from typing import List
import argbind
from tqdm import tqdm
import argbind
from vampnet.interface import Interface
import audiotools as at
Interface = argbind.bind(Interface)
# condition wrapper for printing
def condition(cond):
def wrapper(sig, interface):
# print(f"Condition: {cond.__name__}")
sig = cond(sig, interface)
# print(f"Condition: {cond.__name__} (done)\n")
return sig
return wrapper
@condition
def baseline(sig, interface):
return interface.preprocess(sig)
@condition
def reconstructed(sig, interface):
return interface.to_signal(
interface.encode(sig)
)
@condition
def coarse2fine(sig, interface):
z = interface.encode(sig)
z = z[:, :interface.c2f.n_conditioning_codebooks, :]
z = interface.coarse_to_fine(z)
return interface.to_signal(z)
@condition
def coarse2fine_argmax(sig, interface):
z = interface.encode(sig)
z = z[:, :interface.c2f.n_conditioning_codebooks, :]
z = interface.coarse_to_fine(z,
sample="argmax", sampling_steps=1,
temperature=1.0
)
return interface.to_signal(z)
@condition
def one_codebook(sig, interface):
zv = interface.coarse_vamp_v2(
sig, n_conditioning_codebooks=1
)
zv = interface.coarse_to_fine(zv)
return interface.to_signal(zv)
@condition
def two_codebooks_downsampled_4x(sig, interface):
zv = interface.coarse_vamp_v2(
sig, n_conditioning_codebooks=2,
downsample_factor=4
)
zv = interface.coarse_to_fine(zv)
return interface.to_signal(zv)
def four_codebooks_downsampled(sig, interface, x=12):
zv = interface.coarse_vamp_v2(
sig, downsample_factor=12
)
zv = interface.coarse_to_fine(zv)
return interface.to_signal(zv)
COARSE_SAMPLE_CONDS ={
"baseline": baseline,
"reconstructed": reconstructed,
"coarse2fine": coarse2fine,
"one_codebook": one_codebook,
"two_codebooks_downsampled_4x": two_codebooks_downsampled_4x,
# four codebooks at different downsample factors
**{
f"four_codebooks_downsampled_{x}x": lambda sig, interface: four_codebooks_downsampled(sig, interface, x=x)
for x in [4, 8, 12, 16, 20, 24]
}
}
C2F_SAMPLE_CONDS = {
"baseline": baseline,
"reconstructed": reconstructed,
"coarse2fine": coarse2fine,
"coarse2fine_argmax": coarse2fine_argmax,
}
@argbind.bind(without_prefix=True)
def main(
sources=[
"/data/spotdl/audio/val", "/data/spotdl/audio/test"
],
output_dir: str = "./samples",
max_excerpts: int = 5000,
exp_type: str = "coarse",
seed: int = 0,
):
at.util.seed(seed)
interface = Interface()
output_dir = Path(output_dir)
output_dir.mkdir(exist_ok=True, parents=True)
from audiotools.data.datasets import AudioLoader, AudioDataset
loader = AudioLoader(sources=sources, shuffle_state=seed)
dataset = AudioDataset(loader,
sample_rate=interface.codec.sample_rate,
duration=interface.coarse.chunk_size_s,
n_examples=max_excerpts,
without_replacement=True,
)
SAMPLE_CONDS = COARSE_SAMPLE_CONDS if exp_type == "coarse" else C2F_SAMPLE_CONDS
indices = list(range(max_excerpts))
random.shuffle(indices)
for i in tqdm(indices):
# if all our files are already there, skip
# done = []
# for name in SAMPLE_CONDS:
# o_dir = Path(output_dir) / name
# done.append((o_dir / f"{i}.wav").exists())
# if all(done):
# continue
sig = dataset[i]["signal"]
results = {
name: cond(sig, interface).cpu()
for name, cond in SAMPLE_CONDS.items()
}
for name, sig in results.items():
o_dir = Path(output_dir) / name
o_dir.mkdir(exist_ok=True, parents=True)
sig.write(o_dir / f"{i}.wav")
if __name__ == "__main__":
args = argbind.parse_args()
with argbind.scope(args):
main()
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