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bic_run.py
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bic_run.py
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import os
import time
import subprocess
import parse_output
from plot_result import plot_weak, plot_fix, plot_strong
current_dataset = 'None'
dataset = None
datasets = {}
def model_log(model):
return os.path.join(log_dir, '{}_{}_{}_{}.log'.format(model['label'], model['nodes'], model['ranks'], model['threads']))
def get_model(label):
for model in dataset['models']:
if model['label'] == label:
return model
return None
def generate_global_conf(model):
global_conf = ''
global_conf += 'JOB = {}\n'.format(model['JOB']) ; print('[-] JOB={}'.format(model['JOB']))
global_conf += 'basename = {}\n'.format(model['basename']) ; print('[-] basename={}'.format(model['basename']))
if not model['inputdir'].endswith('/'):
model['inputdir'] += '/'
if not model['outputdir'].endswith('/'):
model['outputdir'] += '/'
global_conf += 'inputdir = {}\n'.format(model['inputdir']) ; print('[-] inputdir={}'.format(model['inputdir']))
global_conf += 'outputdir = {}\n'.format(model['outputdir']) ; print('[-] outputdir={}'.format(model['outputdir']))
global_conf += 'lowfreq = {}\n'.format(model['lowfreq']) ; print('[-] lowfreq={}'.format(model['lowfreq']))
global_conf += 'upfreq = {}\n'.format(model['upfreq']) ; print('[-] upfreq={}'.format(model['upfreq']))
global_conf += 'pOrder = {}\n'.format(model['pOrder']) ; print('[-] pOrder={}'.format(model['pOrder']))
return global_conf
def pre_check():
if not os.path.exists(log_dir):
print('Log directory {} does not exist, created'.format(log_dir))
os.makedirs(log_dir)
def check():
print('Current dataset: {}'.format(str(current_dataset)))
if dataset == None:
return
logs = os.listdir(log_dir)
logs.sort()
models = dataset['models']
for model in models:
model['status'] = 'NOT STARTED'
for log in logs:
if not log.endswith('.log'): continue
label = log.split('_')[0]
status = 'UNFINISHED'
with open(os.path.join(log_dir, log), 'r') as f:
if f.read().find('save the results') != -1:
status = 'DONE'
for model in models:
if model['label'] == label:
model['status'] = status
print('Current status:')
for model in models:
info = '- {}: {}'.format(model['label'], model['status'])
if 'running_on' in model: info += ' (Last run on {})'.format(model['running_on'])
print(info)
def parse(label, print_result = True):
if dataset == None:
print('No dataset selected')
return
model = get_model(label)
if model == None:
print("invalid model name")
return
try:
out = parse_output.parse_output(model_log(model), print_result, label, model['nodes'], model['ranks'])
model['json-log'] = out
return True
except:
print('Error while parsing {}'.format(label))
return False
def switch_dataset(name):
global current_dataset, dataset
current_dataset = name
if not name in datasets:
print('Invalid dataset')
else:
dataset = datasets[name]
print('Dataset switched to {}'.format(name))
def get_valid_result():
check()
done = []
for model in dataset['models']:
if model['status'] == 'DONE' and parse(model['label'], False):
done.append(model)
print("Available models: {}".format([x['label'] for x in done]))
return done
def plot():
if (not os.path.exists("plot")):
os.mkdir("plot")
if dataset == None:
print('No dataset selected')
else:
done = get_valid_result()
for func in dataset['plot']:
func(done)
def run(label):
if dataset == None:
print('No dataset selected')
return
model = get_model(label)
if model == None:
print("invalid label name")
return
nodes_list_str = input('> Input list of nodes: ')
nodes_list_arr = nodes_list_str.split(',')
if len(nodes_list_arr) != model['nodes']:
print('Number of nodes does not match')
return
for node_name in nodes_list_arr:
if not node_name in available_nodes:
print('Invalid node {}'.format(node_name))
return
global_conf = generate_global_conf(model)
with open('global_conf', 'w') as f:
f.write(global_conf)
bash = ''
bash += '#!/bin/bash\n'
bash += 'export OMP_NUM_THREADS={}\n'.format(model['threads'])
bash += env_cmd
run_cmd = 'mpirun -n {} -hosts {} bash -c "ulimit -s unlimited && {}"'.format(model['nodes'] * model['ranks'], nodes_list_str, bin_path)
bash += run_cmd
print('Command will be: {}'.format(run_cmd))
choice = input('> Confirm? (y/n) ')
if choice != 'y':
print('Canceled')
return
with open('cluster_generated_run.sh', 'w') as f:
f.write(bash)
if not os.path.exists(model['outputdir']):
print('Output directory {} does not exist, created'.format(model['outputdir']))
os.makedirs(model['outputdir'])
os.system('nohup bash cluster_generated_run.sh > {} 2>&1 &'.format(model_log(model)))
model['running_on'] = nodes_list_str
print('Task submitted, sleep 20s')
time.sleep(20)
log_dir = 'logs/'
bin_path = '../bin/plmvcg_bic.out'
available_nodes = ['bic01', 'bic02', 'bic03', 'bic04', 'bic05', 'bic06', 'bic07', 'bic08', 'bic09', 'bic10']
env_cmd = 'source $HOME/intel-env.sh\ncd $HOME/SC19/NormalModes/demos\n'
datasets['weak'] = {
'models': [
{'label': 'M1', 'JOB': 2, 'basename': 'Mtopo_6L_test.1', 'inputdir': 'models/input/Moon/M1', 'outputdir': 'models/output/Moon/WeakM1', 'lowfreq': 0.2, 'upfreq': 2.0, 'pOrder': 1, 'nodes': 1, 'ranks': 28, 'threads': 1},
{'label': 'M2', 'JOB': 2, 'basename': 'Mtopo_6L_1M.1' , 'inputdir': 'models/input/Moon/M2', 'outputdir': 'models/output/Moon/WeakM2', 'lowfreq': 0.2, 'upfreq': 2.0, 'pOrder': 1, 'nodes': 2, 'ranks': 28, 'threads': 1},
{'label': 'M3', 'JOB': 2, 'basename': 'Mtopo_6L_2M.1' , 'inputdir': 'models/input/Moon/M3', 'outputdir': 'models/output/Moon/WeakM3', 'lowfreq': 0.2, 'upfreq': 2.0, 'pOrder': 1, 'nodes': 4, 'ranks': 28, 'threads': 1},
{'label': 'M4', 'JOB': 2, 'basename': 'Mtopo_6L_test.1', 'inputdir': 'models/input/Moon/M4', 'outputdir': 'models/output/Moon/WeakM4', 'lowfreq': 0.2, 'upfreq': 2.0, 'pOrder': 1, 'nodes': 1, 'ranks': 28, 'threads': 1},
{'label': 'M5', 'JOB': 2, 'basename': 'Mtopo_6L_test.1', 'inputdir': 'models/input/Moon/M5', 'outputdir': 'models/output/Moon/WeakM5', 'lowfreq': 0.2, 'upfreq': 2.0, 'pOrder': 1, 'nodes': 2, 'ranks': 28, 'threads': 1},
{'label': 'M6', 'JOB': 2, 'basename': 'Mtopo_6L_test.1', 'inputdir': 'models/input/Moon/M6', 'outputdir': 'models/output/Moon/WeakM6', 'lowfreq': 0.2, 'upfreq': 2.0, 'pOrder': 1, 'nodes': 4, 'ranks': 28, 'threads': 1}
],
"plot": [plot_weak, plot_fix]
}
datasets['strong'] = {
'models': [
{'label': 'M3-strong1', 'JOB': 2, 'basename': 'Mtopo_6L_2M.1' , 'inputdir': 'models/input/Moon/M3', 'outputdir': 'models/output/Moon/M3-strong1', 'lowfreq': 0.2, 'upfreq': 2.0, 'pOrder': 1, 'nodes': 1, 'ranks': 56, 'threads': 1},
{'label': 'M3-strong2', 'JOB': 2, 'basename': 'Mtopo_6L_2M.1' , 'inputdir': 'models/input/Moon/M3', 'outputdir': 'models/output/Moon/M3-strong2', 'lowfreq': 0.2, 'upfreq': 2.0, 'pOrder': 1, 'nodes': 2, 'ranks': 56, 'threads': 1},
{'label': 'M3', 'JOB': 2, 'basename': 'Mtopo_6L_2M.1' , 'inputdir': 'models/input/Moon/M3', 'outputdir': 'models/output/Moon/WeakM3', 'lowfreq': 0.2, 'upfreq': 2.0, 'pOrder': 1, 'nodes': 4, 'ranks': 56, 'threads': 1},
],
"plot": [plot_strong]
}
datasets['test'] = {
'models': [
{'label': 'tm1-1', 'JOB': 2, 'basename': 'Mtopo_6L_test.1', 'inputdir': 'models/input/Moon/M1', 'outputdir': 'models/output/Moon/tm1', 'lowfreq': 0.2, 'upfreq': 2.0, 'pOrder': 1, 'nodes': 1, 'ranks': 28, 'threads': 1},
{'label': 'tm1-2', 'JOB': 2, 'basename': 'Mtopo_6L_1M.1', 'inputdir': 'models/input/Moon/M2', 'outputdir': 'models/output/Moon/tm2', 'lowfreq': 0.2, 'upfreq': 2.0, 'pOrder': 1, 'nodes': 2, 'ranks': 28, 'threads': 1},
{'label': 'tm1-3', 'JOB': 2, 'basename': 'Mtopo_6L_2M.1', 'inputdir': 'models/input/Moon/M3', 'outputdir': 'models/output/Moon/tm3', 'lowfreq': 0.2, 'upfreq': 2.0, 'pOrder': 1, 'nodes': 4, 'ranks': 28, 'threads': 1},
{'label': 'tm2-3', 'JOB': 2, 'basename': 'Mtopo_6L_test.1', 'inputdir': 'models/input/Moon/M8-3', 'outputdir': 'models/output/Moon/tm3', 'lowfreq': 0.2, 'upfreq': 2.0, 'pOrder': 1, 'nodes': 1, 'ranks': 28, 'threads': 1},
{'label': 'tm2-4', 'JOB': 2, 'basename': 'Mtopo_6L_test.1', 'inputdir': 'models/input/Moon/M4', 'outputdir': 'models/output/Moon/tm4', 'lowfreq': 0.2, 'upfreq': 2.0, 'pOrder': 1, 'nodes': 2, 'ranks': 28, 'threads': 1},
{'label': 'tm2-5', 'JOB': 2, 'basename': 'Mtopo_6L_test.1', 'inputdir': 'models/input/Moon/M5', 'outputdir': 'models/output/Moon/tm5', 'lowfreq': 0.2, 'upfreq': 2.0, 'pOrder': 1, 'nodes': 4, 'ranks': 28, 'threads': 1},
{'label': 'tm3-2', 'JOB': 2, 'basename': 'Mtopo_6L_test.1', 'inputdir': 'models/input/Moon/M7-2', 'outputdir': 'models/output/Moon/tm7-2', 'lowfreq': 0.2, 'upfreq': 2.0, 'pOrder': 1, 'nodes': 2, 'ranks': 28, 'threads': 1},
{'label': 'tm3-3', 'JOB': 2, 'basename': 'Mtopo_6L_test.1', 'inputdir': 'models/input/Moon/M8-3', 'outputdir': 'models/output/Moon/tm8-3', 'lowfreq': 0.2, 'upfreq': 2.0, 'pOrder': 1, 'nodes': 4, 'ranks': 28, 'threads': 1},
{'label': 'tm4-4', 'JOB': 2, 'basename': 'Mtopo_6L_test.1', 'inputdir': 'models/input/Moon/M4', 'outputdir': 'models/output/Moon/tm4', 'lowfreq': 0.2, 'upfreq': 2.0, 'pOrder': 1, 'nodes': 1, 'ranks': 28, 'threads': 1},
{'label': 'tm4-5', 'JOB': 2, 'basename': 'Mtopo_6L_test.1', 'inputdir': 'models/input/Moon/M5', 'outputdir': 'models/output/Moon/tm5', 'lowfreq': 0.2, 'upfreq': 2.0, 'pOrder': 1, 'nodes': 2, 'ranks': 28, 'threads': 1},
{'label': 'tm4-6', 'JOB': 2, 'basename': 'Mtopo_6L_test.1', 'inputdir': 'models/input/Moon/M6', 'outputdir': 'models/output/Moon/tm6', 'lowfreq': 0.2, 'upfreq': 2.0, 'pOrder': 1, 'nodes': 4, 'ranks': 28, 'threads': 1}
]
}
datasets['test-weak1'] = {
"models": [
{'group': 0, 'label': 'tm1-1', 'JOB': 2, 'basename': 'Mtopo_6L_test.1', 'inputdir': 'models/input/Moon/M1', 'outputdir': 'models/output/Moon/tm1', 'lowfreq': 0.2, 'upfreq': 2.0, 'pOrder': 1, 'nodes': 1, 'ranks': 28, 'threads': 1},
{'group': 0, 'label': 'tm3-2', 'JOB': 2, 'basename': 'Mtopo_6L_test.1', 'inputdir': 'models/input/Moon/M7-2', 'outputdir': 'models/output/Moon/tm7-2', 'lowfreq': 0.2, 'upfreq': 2.0, 'pOrder': 1, 'nodes': 2, 'ranks': 28, 'threads': 1},
{'group': 0, 'label': 'tm3-3', 'JOB': 2, 'basename': 'Mtopo_6L_test.1', 'inputdir': 'models/input/Moon/M8-3', 'outputdir': 'models/output/Moon/tm8-3', 'lowfreq': 0.2, 'upfreq': 2.0, 'pOrder': 1, 'nodes': 4, 'ranks': 28, 'threads': 1},
{'group': 1, 'label': 'tm4-4', 'JOB': 2, 'basename': 'Mtopo_6L_test.1', 'inputdir': 'models/input/Moon/M4', 'outputdir': 'models/output/Moon/tm4', 'lowfreq': 0.2, 'upfreq': 2.0, 'pOrder': 1, 'nodes': 1, 'ranks': 28, 'threads': 1},
{'group': 1, 'label': 'tm4-5', 'JOB': 2, 'basename': 'Mtopo_6L_test.1', 'inputdir': 'models/input/Moon/M5', 'outputdir': 'models/output/Moon/tm5', 'lowfreq': 0.2, 'upfreq': 2.0, 'pOrder': 1, 'nodes': 2, 'ranks': 28, 'threads': 1},
{'group': 1, 'label': 'tm4-6', 'JOB': 2, 'basename': 'Mtopo_6L_test.1', 'inputdir': 'models/input/Moon/M6', 'outputdir': 'models/output/Moon/tm6', 'lowfreq': 0.2, 'upfreq': 2.0, 'pOrder': 1, 'nodes': 4, 'ranks': 28, 'threads': 1}
],
"plot": [plot_weak, plot_fix]
}
datasets['test-weak2'] = {
"models": [
{'label': 'tm1', 'JOB': 2, 'basename': 'Mtopo_6L_test.1', 'inputdir': 'models/input/Moon/M1', 'outputdir': 'models/output/Moon/tm1', 'lowfreq': 0.2, 'upfreq': 2.0, 'pOrder': 1, 'nodes': 1, 'ranks': 56, 'threads': 1},
{'label': 'tm7-2', 'JOB': 2, 'basename': 'Mtopo_6L_test.1', 'inputdir': 'models/input/Moon/M7-2', 'outputdir': 'models/output/Moon/tm7-2', 'lowfreq': 0.2, 'upfreq': 2.0, 'pOrder': 1, 'nodes': 2, 'ranks': 56, 'threads': 1},
{'label': 'tm8-3', 'JOB': 2, 'basename': 'Mtopo_6L_test.1', 'inputdir': 'models/input/Moon/M8-3', 'outputdir': 'models/output/Moon/tm8-3', 'lowfreq': 0.2, 'upfreq': 2.0, 'pOrder': 1, 'nodes': 4, 'ranks': 56, 'threads': 1},
{'label': 'tm4', 'JOB': 2, 'basename': 'Mtopo_6L_test.1', 'inputdir': 'models/input/Moon/M4', 'outputdir': 'models/output/Moon/tm4', 'lowfreq': 0.2, 'upfreq': 2.0, 'pOrder': 1, 'nodes': 1, 'ranks': 56, 'threads': 1},
{'label': 'tm5', 'JOB': 2, 'basename': 'Mtopo_6L_test.1', 'inputdir': 'models/input/Moon/M5', 'outputdir': 'models/output/Moon/tm5', 'lowfreq': 0.2, 'upfreq': 2.0, 'pOrder': 1, 'nodes': 2, 'ranks': 56, 'threads': 1},
{'label': 'tm6', 'JOB': 2, 'basename': 'Mtopo_6L_test.1', 'inputdir': 'models/input/Moon/M6', 'outputdir': 'models/output/Moon/tm6', 'lowfreq': 0.2, 'upfreq': 2.0, 'pOrder': 1, 'nodes': 4, 'ranks': 56, 'threads': 1},
],
"plot": [plot_weak, plot_fix]
}
if __name__ == "__main__":
print('SCC 19, Tsinghua University, Reproduciblity Command Line')
print('Commands: switch <experiment>, run <label>, parse <label>, check, plot, download, exit')
print('Notes: this script must be run in demos dir, e.g.: python3 tools/bic_run.py in demos dir')
pre_check()
while True:
line = input('> ').split()
if len(line) == 0: continue
command = line[0]
if command == 'exit':
break
elif command == 'switch':
if len(line) < 2:
print('Invalid args')
continue
switch_dataset(line[1])
elif command == 'run':
if len(line) < 2:
print('Invalid args')
continue
run(line[1])
elif command == 'parse':
if len(line) < 2:
print('Invalid args')
continue
parse(line[1])
elif command == 'check':
check()
elif command == 'plot':
plot()
elif command == 'download':
if (not os.path.exists("trash")):
os.mkdir("trash")
if (os.path.exists("logs")):
cmd = "mv logs trash/logs-{}".format(time.strftime("%Y-%m-%d-%H-%M-%S", time.localtime()))
print(cmd)
os.system(cmd)
cmd = "scp -r bic:~/SC19/NormalModes/demos/logs ."
print(cmd)
os.system(cmd)
elif command == '':
pass
else:
print('Invalid command')