import os from pathlib import Path import subprocess import submitit huggingface_fix = f"TRANSFORMERS_OFFLINE=1 CURL_CA_BUNDLE=''" class SubmititLauncher: def __init__(self, args): self.args = args def __call__(self): host_name = os.popen( "scontrol show hostnames $SLURM_JOB_NODELIST" ).read().split("\n")[0] self._set_gpu_args() # Using Accelerate for launching multi_gpu = "--multi_gpu" if self.args.num_nodes * self.args.gpu_per_node > 1 else "" opts = " ".join(self.args.opts) if len(self.args.opts) > 0 else "" opts += f" num_gpu={self.args.num_nodes * self.args.gpu_per_node} " full_cfg_path = Path(self.args.config) cfg_path, cfg_file = str(full_cfg_path.parent), str(full_cfg_path.name) cmd = f"{huggingface_fix} accelerate launch --num_machines {self.args.num_nodes} \ --mixed_precision {self.args.mixed_precision} {multi_gpu} \ --num_processes {self.args.gpu_per_node * self.args.num_nodes} \ --num_cpu_threads_per_process {self.args.cpu_per_task} \ --main_process_ip {host_name} \ --main_process_port {self.args.port} \ --machine_rank {self.args.node_id} \ --dynamo_backend no \ {self.args.run_file} \ --config-path {cfg_path} \ --config-name {cfg_file} \ num_gpu={self.args.num_nodes * self.args.gpu_per_node} \ hydra.run.dir=. \ hydra.output_subdir=null \ hydra/job_logging=disabled \ hydra/hydra_logging=disabled {opts}" subprocess.run(cmd, shell=True) def _set_gpu_args(self): job_env = submitit.JobEnvironment() self.args.job_dir = str(self.args.job_dir).replace("%j", job_env.job_id) self.args.node_id = int(job_env.global_rank / self.args.gpu_per_node) def submitit_launch(args): """ Multi node script launching with Submitit """ additional_parameters = {} if args.nodelist != "": # if specifying node id nodelist = f"{str(args.nodelist)}" additional_parameters["nodelist"] = nodelist executor = submitit.AutoExecutor(folder=args.job_dir, slurm_max_num_timeout=30) executor.update_parameters( name=args.name, mem_gb=args.mem_per_gpu * args.gpu_per_node * args.num_nodes, gpus_per_node=args.gpu_per_node, tasks_per_node=1, cpus_per_task=args.gpu_per_node * args.cpu_per_task, nodes=args.num_nodes, slurm_qos=args.qos, slurm_partition=args.partition, slurm_account=args.account, slurm_time=args.time * 60, slurm_signal_delay_s=120, slurm_additional_parameters=additional_parameters ) launcher = SubmititLauncher(args) job = executor.submit(launcher) print(f"submitted job: {job.job_id}") def accelerate_launch(args): """ Single node script launching with Accelerate """ opts = " ".join(args.opts) if len(args.opts) > 0 else "" opts += f" num_gpu={args.num_nodes * args.gpu_per_node} " multi_gpu = "--multi_gpu" if args.num_nodes * args.gpu_per_node > 1 else "" full_cfg_path = Path(args.config) cfg_path, cfg_file = str(full_cfg_path.parent), str(full_cfg_path.name) cmd = f"{huggingface_fix} accelerate launch --num_machines {args.num_nodes} \ {multi_gpu} \ --mixed_precision {args.mixed_precision} \ --num_processes {args.gpu_per_node * args.num_nodes} \ --num_cpu_threads_per_process {args.cpu_per_task} \ --dynamo_backend no \ {args.run_file} \ --config-path {cfg_path} \ --config-name {cfg_file} \ num_gpu={args.num_nodes * args.gpu_per_node} \ hydra.run.dir=. \ hydra.output_subdir=null \ hydra/job_logging=disabled \ hydra/hydra_logging=disabled {opts}" subprocess.run(cmd, shell=True) def python_launch(args): """ Vanilla python launcher for degbugging purposes """ opts = " ".join(args.opts) if len(args.opts) > 0 else "" full_cfg_path = Path(args.config) cfg_path, cfg_file = str(full_cfg_path.parent), str(full_cfg_path.name) cmd = f"{huggingface_fix} python {args.run_file} " \ f"--config-path {cfg_path} " \ f"--config-name {cfg_file} " \ f"num_gpu=1 " \ f"hydra.run.dir=. " \ f"hydra.output_subdir=null " \ f"hydra/job_logging=disabled " \ f"hydra/hydra_logging=disabled {opts}" subprocess.run(cmd, shell=True)