Multiple Processes fro Slurm
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be76a5363a
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164
slate/slate.py
164
slate/slate.py
@ -6,7 +6,7 @@ import random
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import copy
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import collections.abc
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from functools import partial
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from multiprocessing import Pool
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from multiprocessing import Process
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import pdb
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d = pdb.set_trace
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@ -114,22 +114,116 @@ class Slate():
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child_keys = '.'.join(keys_arr[1:])
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return self.consume(child, child_keys, default=default)
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def run_local(self, filename, name, job_num=None):
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def _calc_num_jobs(self, schedulerC):
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reps = schedulerC.get('repetitions', 1)
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agents_per_job = schedulerC.get('agents_per_job', 1)
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reps_per_agent = schedulerC.get('reps_per_agent', 1)
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reps_per_job = reps_per_agent * agents_per_job
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jobs_needed = math.ceil(reps / reps_per_job)
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return jobs_needed
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def _reps_for_job(self, schedulerC, job_id):
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reps = schedulerC.get('repetitions', 1)
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num_jobs = self._calc_num_jobs(schedulerC)
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reps_for_job = [[]] * num_jobs
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for i in range(reps):
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reps_for_job[i % num_jobs].append(i)
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return reps_for_job[job_id]
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def run_local(self, filename, name, job_id=0):
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config = self.load_config(filename, name)
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schedulerC = copy.deepcopy(config.get('scheduler', {}))
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rep_ids = self._reps_for_job(schedulerC, job_id)
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self._fork_processes(config, rep_ids)
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def run_slurm(self, filename, name):
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assert slurm_avaible, 'pyslurm does not seem to be installed on this system.'
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config = self.load_config(filename, name)
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slurmC = self.consume(config, 'slurm')
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schedC = self.consume(config, 'scheduler')
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s_name = self.consume(slurmC, 'name')
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python_script = 'main.py'
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sh_lines = ['#!/bin/bash']
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sh_lines += self.consume(slurmC, 'sh_lines', [])
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if venv := self.consume(slurmC, 'venv', False):
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sh_lines += [f'source activate {venv}']
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sh_lines += [f'python3 {python_script} {filename} {name} -j $SLURM_ARRAY_TASK_ID']
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script = "\n".join(sh_lines)
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num_jobs = self._calc_num_jobs(schedC)
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last_job_idx = num_jobs - 1
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num_parallel_jobs = min(self.consume(slurmC, 'num_parallel_jobs', num_jobs), num_jobs)
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array = f'0-{last_job_idx}%{num_parallel_jobs}'
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job = pyslurm.JobSubmitDescription(name=s_name, script=script, array=array, **slurmC)
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job_id = job.submit()
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print(f'[i] Job submitted to slurm with id {job_id}')
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def _fork_processes(self, config, rep_ids):
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schedC = self.consume(config, 'scheduler')
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agents_per_job = self.consume(schedC, 'agents_per_job', 1)
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reps_per_agent = self.consume(schedC, 'reps_per_agent', 1)
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node_reps = len(rep_ids)
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num_p = min(agents_per_job, math.ceil(node_reps / reps_per_agent))
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if num_p == 1:
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self._run_single(config, rep_ids=rep_ids, p_ind=0)
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return
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procs = []
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reps_done = 0
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for p in range(num_p):
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num_reps = min(node_reps - reps_done, reps_per_agent)
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proc_rep_ids = [rep_ids[i] for i in list(range(reps_done, reps_done+num_reps))]
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proc = Process(target=partial(self._run_process, config, rep_ids=proc_rep_ids, p_ind=p))
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proc.start()
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procs.append(proc)
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reps_done += num_reps
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for proc in procs:
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proc.join()
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def _run_process(self, orig_config, rep_ids, p_ind):
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config = copy.deepcopy(orig_config)
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if self.consume(config, 'sweep.enable', False):
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sweepC = self.consume(config, 'sweep')
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project = self.consume(config, 'wandb.project')
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project = config['wandb']['project']
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sweep_id = wandb.sweep(
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sweep=sweepC,
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project=project
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)
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runnerName, wandbC = self.consume(config, 'runner'), self.consume(config, 'wandb', {})
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wandb.agent(sweep_id, function=partial(self._run_from_sweep, config, runnerName, project, wandbC), count=config['run']['reps_per_agent'])
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wandb.agent(sweep_id, function=partial(self._run_from_sweep, config, p_ind=p_ind), count=len(rep_ids))
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else:
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self.consume(config, 'sweep', {})
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self.run_single(config)
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self._run_single(config, rep_ids, p_ind=p_ind)
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def _run_single(self, orig_config, rep_ids, p_ind):
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print(f'[P{p_ind}] I will work on reps {rep_ids}')
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runnerName, wandbC = self.consume(orig_config, 'runner'), self.consume(orig_config, 'wandb', {})
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project = self.consume(wandbC, 'project')
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runner = self.runners[runnerName]
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for r in rep_ids:
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config = copy.deepcopy(orig_config)
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with wandb.init(
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project=project,
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config=config,
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**wandbC
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) as run:
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runner(self, run, config)
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assert config == {}, ('Config was not completely consumed: ', config)
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orig_config = config
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def _run_from_sweep(self, orig_config, p_ind):
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runnerName, wandbC = self.consume(orig_config, 'runner'), self.consume(orig_config, 'wandb', {})
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project = self.consume(wandbC, 'project')
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def _run_from_sweep(self, orig_config, runnerName, project, wandbC):
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runner = self.runners[runnerName]
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with wandb.init(
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@ -141,57 +235,7 @@ class Slate():
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runner(self, run, config)
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assert config == {}, ('Config was not completely consumed: ', config)
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def run_slurm(self, filename, name):
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assert slurm_avaible, 'pyslurm does not seem to be installed on this system.'
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config = self.load_config(filename, name)
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slurmC = self.consume(config, 'slurm')
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s_name = self.consume(slurmC, 'name')
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python_script = 'main.py'
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sh_lines = ['#!/bin/bash']
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sh_lines += self.consume(slurmC, 'sh_lines', [])
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if venv := self.consume(slurmC, 'venv', False):
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sh_lines += [f'source activate {venv}']
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sh_lines += [f'python3 {python_script} {filename} {name} -j $SLURM_ARRAY_TASK_ID']
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script = "\n".join(sh_lines)
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num_jobs = 1
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last_job_idx = num_jobs - 1
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num_parallel_jobs = min(self.consume(slurmC, 'num_parallel_jobs', num_jobs), num_jobs)
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array = f'0-{last_job_idx}%{num_parallel_jobs}'
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job = pyslurm.JobSubmitDescription(name=s_name, script=script, array=array, **slurmC)
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job_id = job.submit()
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print(f'[i] Job submitted to slurm with id {job_id}')
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def run_parallel(self, config):
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schedC = self.consume(config, 'scheduler')
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repetitions = self.consume(schedC, 'repetitions')
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agents_per_job = self.consume(schedC, 'agents_per_job')
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reps_per_agent = self.consume(schedC, 'reps_per_agent')
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assert schedC == {}
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num_p = min(agents_per_job, math.ceil(repetitions / reps_per_agent))
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if num_p == 1:
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return [self.run_single(config, max_reps=reps_per_agent)]
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return Pool(processes=num_p).map(partial(self.run_single, config, max_reps=reps_per_agent), range(num_p))
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def run_single(self, config, max_reps=-1, p_ind=0):
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runnerName, wandbC = self.consume(config, 'runner'), self.consume(config, 'wandb', {})
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runner = self.runners[runnerName]
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with wandb.init(
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project=self.consume(wandbC, 'project'),
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config=config,
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**wandbC
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) as run:
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runner(self, run, config)
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assert config == {}, ('Config was not completely consumed: ', config)
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orig_config = config
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def from_args(self):
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import argparse
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@ -201,7 +245,7 @@ class Slate():
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parser.add_argument("experiment", nargs='?', default='DEFAULT')
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parser.add_argument("-s", "--slurm", action="store_true")
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parser.add_argument("-w", "--worker", action="store_true")
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parser.add_argument("-j", "--job_num", default=None)
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parser.add_argument("-j", "--job_id", default=0)
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args = parser.parse_args()
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@ -212,7 +256,7 @@ class Slate():
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if args.slurm:
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self.run_slurm(args.config_file, args.experiment)
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else:
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self.run_local(args.config_file, args.experiment, args.job_num)
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self.run_local(args.config_file, args.experiment, args.job_id)
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def print_config_runner(slate, run, config):
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