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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 base causal EnCodec model at 24 kHz.
"""
from ._explorers import CompressionExplorer
from ...environment import AudioCraftEnvironment
@CompressionExplorer
def explorer(launcher):
partitions = AudioCraftEnvironment.get_slurm_partitions(['team', 'global'])
launcher.slurm_(gpus=8, partition=partitions)
# base causal EnCodec trained on monophonic audio sampled at 24 kHz
launcher.bind_(solver='compression/encodec_base_24khz')
# replace this by the desired dataset
launcher.bind_(dset='audio/example')
# launch xp
launcher()
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