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28 lines
1.0 KiB
Python
28 lines
1.0 KiB
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the license found in the
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# LICENSE file in the root directory of this source tree.
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"""
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Training of the 4 diffusion models described in
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"From Discrete Tokens to High-Fidelity Audio Using Multi-Band Diffusion"
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(paper link).
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"""
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from ._explorers import DiffusionExplorer
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@DiffusionExplorer
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def explorer(launcher):
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launcher.slurm_(gpus=4, partition='learnfair')
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launcher.bind_({'solver': 'diffusion/default',
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'dset': 'internal/music_10k_32khz'})
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with launcher.job_array():
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launcher({'filter.use': True, 'filter.idx_band': 0, "processor.use": False, 'processor.power_std': 0.4})
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launcher({'filter.use': True, 'filter.idx_band': 1, "processor.use": False, 'processor.power_std': 0.4})
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launcher({'filter.use': True, 'filter.idx_band': 2, "processor.use": True, 'processor.power_std': 0.4})
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launcher({'filter.use': True, 'filter.idx_band': 3, "processor.use": True, 'processor.power_std': 0.75})
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