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