4_bands_base_32khz.py

# 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})