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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 ._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_melody_32khz') | |
# replace this by the desired music dataset | |
launcher.bind_(dset='internal/music_400k_32khz') | |
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} | |
cache_path = {'conditioners.self_wav.chroma_stem.cache_path': | |
'/fsx-audio-craft-llm/jadecopet/experiments/audiocraft/caches/chroma_stem'} | |
# CACHE GENERATION JOBS | |
n_cache_gen_jobs = 4 | |
gen_sub = launcher.slurm(gpus=1) | |
gen_sub.bind_( | |
cache_path, { | |
# the cache is always computed over the whole file, so duration doesn't matter here. | |
'dataset.segment_duration': 2., | |
'dataset.batch_size': 8, | |
'dataset.train.permutation_on_files': True, # try to not repeat files. | |
'optim.epochs': 10, | |
'model/lm/model_scale': 'xsmall', | |
}) | |
with gen_sub.job_array(): | |
for gen_job in range(n_cache_gen_jobs): | |
gen_sub({'dataset.train.shuffle_seed': gen_job}) | |
# ACTUAL TRAINING JOBS. | |
launcher.bind_(fsdp) | |
launcher.slurm_(gpus=32).bind_(label='32gpus') | |
with launcher.job_array(): | |
sub = launcher.bind() | |
sub() | |
sub(cache_path) | |
launcher.slurm_(gpus=64).bind_(label='64gpus') | |
with launcher.job_array(): | |
sub = launcher.bind() | |
sub(medium, adam) | |
launcher.slurm_(gpus=96).bind_(label='96gpus') | |
with launcher.job_array(): | |
sub = launcher.bind() | |
sub(large, cfg_low, wd_low, adam, {'optim.max_norm': 3}) | |