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https://github.com/hanzoai/mugen.git
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68 lines
2.3 KiB
Python
68 lines
2.3 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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from ._explorers import LMExplorer
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from ...environment import AudioCraftEnvironment
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@LMExplorer
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def explorer(launcher):
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partitions = AudioCraftEnvironment.get_slurm_partitions(['team', 'global'])
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launcher.slurm_(gpus=32, partition=partitions)
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launcher.bind_(solver='musicgen/musicgen_base_32khz')
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# replace this by the desired music dataset
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launcher.bind_(dset='internal/music_400k_32khz')
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fsdp = {'autocast': False, 'fsdp.use': True}
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medium = {'model/lm/model_scale': 'medium'}
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large = {'model/lm/model_scale': 'large'}
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cfg_low = {'classifier_free_guidance.training_dropout': 0.2}
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wd_low = {'conditioners.description.t5.word_dropout': 0.2}
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adam = {'optim.optimizer': 'adamw', 'optim.lr': 1e-4}
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# BEGINNING OF CACHE WRITING JOBS.
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cache_write = {
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'cache.path': '/fsx-codegen/defossez/cache/interleave_stereo_nv_32k',
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'cache.write': True,
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'generate.every': 500,
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'evaluate.every': 500,
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'logging.log_updates': 50,
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}
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cache_sub = launcher.bind({'model/lm/model_scale': 'xsmall', 'conditioner': 'none'})
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cache_sub.bind_({'deadlock.use': True})
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cache_sub.slurm_(gpus=8)
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with launcher.job_array():
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num_shards = 10 # total number of jobs running in parallel.
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for shard in range(0, num_shards):
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launcher(cache_write, {'cache.write_num_shards': num_shards, 'cache.write_shard': shard})
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# REMOVE THE FOLLOWING RETURN STATEMENT ONCE THE ABOVE JOBS ARE DONE,
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# OR SUFFICIENTLY AHEAD.
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return
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cache = {
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'cache.path': '/fsx-codegen/defossez/cache/interleave_stereo_nv_32k',
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}
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launcher.bind_(fsdp, cache)
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launcher.slurm_(gpus=32).bind_(label='32gpus')
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with launcher.job_array():
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sub = launcher.bind()
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sub()
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launcher.slurm_(gpus=64).bind_(label='64gpus')
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with launcher.job_array():
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sub = launcher.bind()
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sub(medium, adam)
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launcher.slurm_(gpus=96).bind_(label='96gpus')
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with launcher.job_array():
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sub = launcher.bind()
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sub(large, cfg_low, wd_low, adam, {'optim.max_norm': 3})
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