ampere_research/pytorch/batch.py

136 lines
4.3 KiB
Python

from data_stat import Cpu, Format
import argparse
import glob
import os
import subprocess
import random
parser = argparse.ArgumentParser()
parser.add_argument('cpu', choices=[x.name.lower() for x in Cpu])
parser.add_argument('output_dir')
parser.add_argument('matrix_dir')
parser.add_argument('format', type=str,
choices=[fmt.name.lower() for fmt in Format])
parser.add_argument('base_iterations', type=int)
parser.add_argument('min_time_s', type=int)
parser.add_argument('baseline_time_s', type=int)
parser.add_argument('baseline_delay_s', type=int)
#parser.add_argument('--perf', action='store_const', const='--perf')
parser.add_argument('--power', action='store_const', const='--power')
parser.add_argument('--distribute', action='store_true')
args = parser.parse_args()
args.cpu = Cpu[args.cpu.upper()]
args.format = Format[args.format.upper()]
srun_args = {
Cpu.ALTRA: [
'--account', 'oasis',
'--partition', 'oasis',
'--qos', 'oasis-exempt',
#'--cpus-per-task 160',
'--cpus-per-task', '160',
#'--mem 28114',
'--mem', '16G',
'--ntasks-per-node', '1',
'--time', '1-00:00:00'
#'--exclusive',
#'--output', '/dev/null',
#'--error', '/dev/null'
],
Cpu.EPYC_7313P: [
'--account', 'nexus',
'--partition', 'tron',
'--qos', 'high',
'--cpus-per-task', '16',
'--ntasks-per-node', '1',
'--time', '1-00:00:00',
'--prefer', 'EPYC-7313P'
],
Cpu.XEON_4216: [
'--account', 'nexus',
'--partition', 'tron',
'--qos', 'tron-exempt',
'--cpus-per-task', '32',
'--ntasks-per-node', '1',
'--time', '1-00:00:00',
'--prefer', 'Xeon,4216'
]
}
python = {
Cpu.ALTRA: 'python3',
Cpu.EPYC_7313P: 'python3.11',
Cpu.XEON_4216: 'python3.11'
}
def run(run_args, matrix_file: str, srun_args_list: list = None) -> list:
run_args_list = [
args.cpu.name.lower(),
matrix_file,
args.format.name.lower(),
str(args.base_iterations),
str(args.min_time_s),
str(args.baseline_time_s),
str(args.baseline_delay_s)]
# if args.perf is not None:
# run_args_list += [args.perf]
if args.power is not None:
run_args_list += [args.power]
if srun_args_list is None:
command = [python[args.cpu], 'run.py'] + run_args_list
else:
command = ['srun'] + srun_args_list + [python[args.cpu], 'run.py'] + run_args_list
print(command)
return command
processes = list()
for i, matrix in enumerate(glob.glob(f'{args.matrix_dir.rstrip("/")}/*.mtx')):
#if args.distribute:
# if args.cpu == Cpu.ALTRA:
# i = i % 40
# srun_args_temp = srun_args[args.cpu] + ['--nodelist', f'oasis{i:02}']
# elif args.cpu == Cpu.EPYC_7313P:
# srun_args_temp = srun_args[args.cpu]
#else:
srun_args_temp = srun_args[args.cpu]
output_filename = '_'.join([
args.cpu.name.lower(),
str(args.min_time_s),
str(args.baseline_time_s),
str(args.baseline_delay_s),
os.path.splitext(os.path.basename(matrix))[0]])
json_filepath = f'{args.output_dir.rstrip("/")}/{output_filename}.json'
raw_filepath = f'{args.output_dir.rstrip("/")}/{output_filename}.output'
with open(json_filepath, 'w') as json_file, open(raw_filepath, 'w') as raw_file:
print(json_filepath)
print(raw_filepath)
if args.distribute:
processes.append(subprocess.Popen(
run(args, matrix, srun_args_temp),
stdout=json_file,
stderr=raw_file))
else:
subprocess.run(
run(args, matrix),
stdout=json_file,
stderr=raw_file)
if args.distribute:
# Wait on every 10 jobs to avoid socket timeout.
if i % 10 == 9:
print("Waiting on 10 jobs")
for process in processes:
process.wait()
processes = list()
if args.distribute:
for process in processes:
process.wait()