| 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() |
| |
| 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 != "": |
| |
| 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) |