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"""
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Grid search file, simply list all the exp you want in `explorer`.
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Any new exp added there will be scheduled.
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You can cancel and experiment by commenting its line.
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This grid shows how to train a MusicGen EnCodec model at 32 kHz.
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"""
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from ._explorers import CompressionExplorer
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from ...environment import AudioCraftEnvironment
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@CompressionExplorer
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def explorer(launcher):
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partitions = AudioCraftEnvironment.get_slurm_partitions(['team', 'global'])
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launcher.slurm_(gpus=8, partition=partitions)
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launcher.bind_(solver='compression/encodec_musicgen_32khz')
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launcher.bind_(dset='internal/music_400k_32khz')
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launcher()
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launcher({
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'metrics.visqol.bin': '/data/home/jadecopet/local/usr/opt/visqol',
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'label': 'visqol',
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'evaluate.metrics.visqol': True
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})
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