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local_console.py
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local_console.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 get_time():
return time.strftime("%Y-%m-%d-%H-%M-%S", time.localtime())
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(show=False):
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, show)
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 = 'I_MPI_DEBUG=4 I_MPI_PIN=yes I_MPI_PIN_PROCESSOR_LIST=allcores:map=bunch 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('bash cluster_generated_run.sh | tee {}'.format(model_log(model)))
model['running_on'] = nodes_list_str
exit()
log_dir = 'logs/'
bin_path = '../bin/plmvcg_istar.out'
available_nodes = ['e1', 'e2', 'e3', 'e4']
env_cmd = 'source /etc/profile.d/modules.sh\nsource /opt/spack/share/spack/setup-env.sh\nsource $HOME/intel_env.sh\ncd $HOME/SC19/NormalModes/demos\nulimit -s unlimited\n'
datasets['weak'] = {
'models': [
{'group': 0, 'label': 'f-w-M1-1', 'JOB': 2, 'basename': 'RTMDWAK_3L_1M.1', 'inputdir': 'final/input/M1', 'outputdir': 'final/output/M1', 'lowfreq': 0.5, 'upfreq': 1.0, 'pOrder': 1, 'nodes': 1, 'ranks': 56, 'threads': 1},
{'group': 0, 'label': 'f-w-M2-2', 'JOB': 2, 'basename': 'RTMDWAK_3L_2M.1', 'inputdir': 'final/input/M2', 'outputdir': 'final/output/M2', 'lowfreq': 0.5, 'upfreq': 1.0, 'pOrder': 1, 'nodes': 2, 'ranks': 56, 'threads': 1},
{'group': 0, 'label': 'f-w-M3-4', 'JOB': 2, 'basename': 'RTMDWAK_3L_16M.1', 'inputdir': 'final/input/M3', 'outputdir': 'final/output/M3', 'lowfreq': 0.5, 'upfreq': 1.0, 'pOrder': 1, 'nodes': 4, 'ranks': 56, 'threads': 1},
{'group': 1, 'label': 'f-w-M4-1', 'JOB': 2, 'basename': 'RTMDWAK_3L_32M.1', 'inputdir': 'final/input/M4', 'outputdir': 'final/output/M4', 'lowfreq': 0.5, 'upfreq': 1.0, 'pOrder': 1, 'nodes': 1, 'ranks': 56, 'threads': 1},
{'group': 1, 'label': 'f-w-M5-2', 'JOB': 2, 'basename': 'RTMDWAK_3L_64M.1', 'inputdir': 'final/input/M5', 'outputdir': 'final/output/M5', 'lowfreq': 0.5, 'upfreq': 1.0, 'pOrder': 1, 'nodes': 2, 'ranks': 56, 'threads': 1},
{'group': 1, 'label': 'f-w-M6-4', 'JOB': 2, 'basename': 'RTMDWAK_3L_128M.1', 'inputdir': 'final/input/M6', 'outputdir': 'final/output/M6', 'lowfreq': 0.5, 'upfreq': 1.0, 'pOrder': 1, 'nodes': 4, 'ranks': 56, 'threads': 1},
],
"plot": [plot_weak, plot_fix]
}
datasets['strong'] = {
'models': [
{'group': 0, 'label': 'f-s-M2-1', 'JOB': 2, 'basename': 'RTMDWAK_3L_2M.1', 'inputdir': 'final/input/M2', 'outputdir': 'final/output/M2-1', 'lowfreq': 0.5, 'upfreq': 1.0, 'pOrder': 1, 'nodes': 1, 'ranks': 56, 'threads': 1},
{'group': 0, 'label': 'f-w-M2-2', 'JOB': 2, 'basename': 'RTMDWAK_3L_2M.1', 'inputdir': 'final/input/M2', 'outputdir': 'final/output/M2', 'lowfreq': 0.5, 'upfreq': 1.0, 'pOrder': 1, 'nodes': 2, 'ranks': 56, 'threads': 1},
{'group': 0, 'label': 'f-s-M2-4', 'JOB': 2, 'basename': 'RTMDWAK_3L_2M.1', 'inputdir': 'final/input/M2', 'outputdir': 'final/output/M2-4', 'lowfreq': 0.5, 'upfreq': 1.0, 'pOrder': 1, 'nodes': 4, 'ranks': 56, 'threads': 1},
{'group': 1, 'label': 'f-s-M3-1', 'JOB': 2, 'basename': 'RTMDWAK_3L_16M.1', 'inputdir': 'final/input/M3', 'outputdir': 'final/output/M3-1', 'lowfreq': 0.5, 'upfreq': 1.0, 'pOrder': 1, 'nodes': 1, 'ranks': 56, 'threads': 1},
{'group': 1, 'label': 'f-s-M3-2', 'JOB': 2, 'basename': 'RTMDWAK_3L_16M.1', 'inputdir': 'final/input/M3', 'outputdir': 'final/output/M3-2', 'lowfreq': 0.5, 'upfreq': 1.0, 'pOrder': 1, 'nodes': 2, 'ranks': 56, 'threads': 1},
{'group': 1, 'label': 'f-w-M3-4', 'JOB': 2, 'basename': 'RTMDWAK_3L_16M.1', 'inputdir': 'final/input/M3', 'outputdir': 'final/output/M3-4', 'lowfreq': 0.5, 'upfreq': 1.0, 'pOrder': 1, 'nodes': 4, 'ranks': 56, 'threads': 1},
],
"plot": [plot_strong]
}
if __name__ == "__main__":
switch_dataset('weak')
plot(show=False)
switch_dataset('strong')
plot(show=False)
exit()
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/cluster_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(show=(len(line) > 1))
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 i1:~/SC19/NormalModes/demos/logs ."
print(cmd)
os.system(cmd)
elif command == '':
pass
else:
print('Invalid command')