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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. | |
from pathlib import Path | |
from ._explorers import LMExplorer | |
from ...environment import AudioCraftEnvironment | |
def explorer(launcher): | |
partitions = AudioCraftEnvironment.get_slurm_partitions(['team', 'global']) | |
launcher.slurm_(gpus=32, partition=partitions) | |
launcher.bind_(solver='musicgen/musicgen_base_32khz') | |
# replace this by the desired music dataset, which needs to be stereo | |
launcher.bind_(dset='audio/example') | |
fsdp = {'autocast': False, 'fsdp.use': True} | |
medium = {'model/lm/model_scale': 'medium'} | |
large = {'model/lm/model_scale': 'large'} | |
cfg_low = {'classifier_free_guidance.training_dropout': 0.2} | |
wd_low = {'conditioners.description.t5.word_dropout': 0.2} | |
adam = {'optim.optimizer': 'adamw', 'optim.lr': 1e-4} | |
stereo = { | |
'codebooks_pattern.delay.delays': [0, 0, 1, 1, 2, 2, 3, 3], | |
'transformer_lm.n_q': 8, | |
'interleave_stereo_codebooks.use': True, | |
'channels': 2, | |
} | |
# You must follow the instructions in docs/MUSICGEN.md about the creation | |
# of the proper fine tuning checkpoints. We will assume they are stored under | |
# ~/checkpoints/{mode_name}. | |
checkpoints = Path.home() / 'checkpoints' | |
launcher.bind_(fsdp, stereo, {'optim.epochs': 100}) | |
launcher.slurm_(gpus=32).bind_(label='32gpus') | |
with launcher.job_array(): | |
sub = launcher.bind({'continue_from': str(checkpoints / 'stereo_finetune_musicgen-small.th')}) | |
sub() | |
launcher.slurm_(gpus=64).bind_(label='64gpus') | |
with launcher.job_array(): | |
sub = launcher.bind({'continue_from': str(checkpoints / 'stereo_finetune_musicgen-medium.th')}) | |
sub(medium, adam) | |
launcher.slurm_(gpus=96).bind_(label='96gpus') | |
with launcher.job_array(): | |
sub = launcher.bind({'continue_from': str(checkpoints / 'stereo_finetune_musicgen-large.th')}) | |
sub(large, cfg_low, wd_low, adam, {'optim.max_norm': 3}) | |