fairseq/examples/hubert/config/decode/run/submitit_slurm_8gpu.yaml

# @package _global_
hydra:
  launcher:
    cpus_per_task: ${distributed_training.distributed_world_size}
    gpus_per_node: ${distributed_training.distributed_world_size}
    tasks_per_node: ${hydra.launcher.gpus_per_node}
    nodes: 1
    mem_gb: 200
    timeout_min: 4320
    max_num_timeout: 50
    name: ${hydra.job.config_name}
    submitit_folder: ${hydra.sweep.dir}/submitit

distributed_training:
  distributed_world_size: 8
  distributed_no_spawn: true
  distributed_port: 29761