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A10G
Running
on
A10G
File size: 1,073 Bytes
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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.
"""
Training of the 4 diffusion models described in
"From Discrete Tokens to High-Fidelity Audio Using Multi-Band Diffusion"
(paper link).
"""
from ._explorers import DiffusionExplorer
@DiffusionExplorer
def explorer(launcher):
launcher.slurm_(gpus=4, partition='learnfair')
launcher.bind_({'solver': 'diffusion/default',
'dset': 'internal/music_10k_32khz'})
with launcher.job_array():
launcher({'filter.use': True, 'filter.idx_band': 0, "processor.use": False, 'processor.power_std': 0.4})
launcher({'filter.use': True, 'filter.idx_band': 1, "processor.use": False, 'processor.power_std': 0.4})
launcher({'filter.use': True, 'filter.idx_band': 2, "processor.use": True, 'processor.power_std': 0.4})
launcher({'filter.use': True, 'filter.idx_band': 3, "processor.use": True, 'processor.power_std': 0.75})
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