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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) |