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# Copyright (c) Meta Platforms, Inc. and affiliates. | |
# All rights reserved. | |
# | |
# This source code is licensed under the license found in the | |
# LICENSE file in the root directory of this source tree. | |
""" | |
Grid search file, simply list all the exp you want in `explorer`. | |
Any new exp added there will be scheduled. | |
You can cancel and experiment by commenting its line. | |
This grid shows how to train a MusicGen EnCodec model at 32 kHz. | |
""" | |
from ._explorers import CompressionExplorer | |
from ...environment import AudioCraftEnvironment | |
def explorer(launcher): | |
partitions = AudioCraftEnvironment.get_slurm_partitions(['team', 'global']) | |
launcher.slurm_(gpus=8, partition=partitions) | |
# use configuration for MusicGen's EnCodec model trained on monophonic audio sampled at 32 kHz | |
# MusicGen's EnCodec is trained with a total stride of 640 leading to a frame rate of 50 hz | |
launcher.bind_(solver='compression/encodec_musicgen_32khz') | |
# replace this by the desired music dataset | |
launcher.bind_(dset='internal/music_400k_32khz') | |
# launch xp | |
launcher() | |
launcher({ | |
'metrics.visqol.bin': '/data/home/jadecopet/local/usr/opt/visqol', | |
'label': 'visqol', | |
'evaluate.metrics.visqol': True | |
}) | |