def launch_test(config_file, training_service, test_case_config):
launch_command = get_command(test_case_config, 'launchCommand')
print('launch command: ', launch_command, flush=True)
proc = subprocess.run(launch_command, shell=True)
assert proc.returncode == 0, 'launch command failed with code %d' % proc.returncode
# set experiment ID into variable
exp_var_name = test_case_config.get('setExperimentIdtoVar')
if exp_var_name is not None:
assert exp_var_name.startswith('$')
it_variables[exp_var_name] = get_experiment_id(EXPERIMENT_URL)
print('variables:', it_variables)
max_duration, max_trial_num = get_max_values(config_file)
print('max_duration:', max_duration, ' max_trial_num:', max_trial_num)
if not test_case_config.get('experimentStatusCheck'):
return
bg_time = time.time()
print(str(datetime.datetime.now()), ' waiting ...', flush=True)
try:
# wait restful server to be ready
time.sleep(3)
experiment_id = get_experiment_id(EXPERIMENT_URL)
while True:
waited_time = time.time() - bg_time
if waited_time > max_duration + 10:
print('waited: {}, max_duration: {}'.format(
waited_time, max_duration))
break
status = get_experiment_status(STATUS_URL)
if status in ['DONE', 'ERROR']:
print('experiment status:', status)
break
num_failed = len(get_failed_trial_jobs(TRIAL_JOBS_URL))
if num_failed > 0:
print('failed jobs: ', num_failed)
break
time.sleep(1)
except:
print_experiment_log(experiment_id=experiment_id)
raise
print(str(datetime.datetime.now()), ' waiting done', flush=True)
if get_experiment_status(STATUS_URL) == 'ERROR':
print_experiment_log(experiment_id=experiment_id)
trial_stats = get_trial_stats(TRIAL_JOBS_URL)
print(json.dumps(trial_stats, indent=4), flush=True)
if status != 'DONE' or trial_stats['SUCCEEDED'] + trial_stats[
'EARLY_STOPPED'] < max_trial_num:
print_experiment_log(experiment_id=experiment_id)
print_trial_job_log(training_service, TRIAL_JOBS_URL)
raise AssertionError('Failed to finish in maxExecDuration')
def run_test():
'''run metrics test'''
if sys.platform == 'win32':
config_file = osp.join('metrics_test', 'metrics_win32.test.yml')
else:
config_file = osp.join('metrics_test', 'metrics.test.yml')
print('Testing %s...' % config_file)
proc = subprocess.run(['nnictl', 'create', '--config', config_file])
assert proc.returncode == 0, '`nnictl create` failed with code %d' % proc.returncode
max_duration, max_trial_num = get_max_values(config_file)
sleep_interval = 3
for _ in range(0, max_duration, sleep_interval):
time.sleep(sleep_interval)
status = get_experiment_status(STATUS_URL)
#print('experiment status:', status)
if status == 'DONE':
num_succeeded = get_succeeded_trial_num(TRIAL_JOBS_URL)
print_failed_job_log('local', TRIAL_JOBS_URL)
if sys.platform == "win32":
time.sleep(
sleep_interval
) # Windows seems to have some issues on updating in time
assert num_succeeded == max_trial_num, 'only %d succeeded trial jobs, there should be %d' % (
num_succeeded, max_trial_num)
check_metrics()
break
assert status == 'DONE', 'Failed to finish in maxExecDuration'
def run_test(config_file, training_service, local_gpu=False):
'''run test per configuration file'''
new_config_file, config = gen_new_config(config_file, training_service)
if training_service == 'local' and not local_gpu and config['trial'][
'gpuNum'] > 0:
print('no gpu, skiping: ', config_file)
return
try:
proc = subprocess.run(
['nnictl', 'create', '--config', new_config_file])
assert proc.returncode == 0, '`nnictl create` failed with code %d' % proc.returncode
max_duration, max_trial_num = get_max_values(new_config_file)
sleep_interval = 3
for _ in range(0, max_duration + 30, sleep_interval):
time.sleep(sleep_interval)
status = get_experiment_status(STATUS_URL)
if status == 'DONE':
num_succeeded = get_succeeded_trial_num(TRIAL_JOBS_URL)
if training_service == 'local':
print_stderr(TRIAL_JOBS_URL)
assert num_succeeded == max_trial_num, 'only %d succeeded trial jobs, there should be %d' % (
num_succeeded, max_trial_num)
break
assert status == 'DONE', 'Failed to finish in maxExecDuration'
finally:
if os.path.exists(new_config_file):
os.remove(new_config_file)
def run_test(config_file, training_service, local_gpu=False):
'''run test per configuration file'''
new_config_file, config = gen_new_config(config_file, training_service)
print(json.dumps(config, sort_keys=True, indent=4))
if training_service == 'local' and not local_gpu and config['trial'][
'gpuNum'] > 0:
print('no gpu, skiping: ', config_file)
return
try:
proc = subprocess.run(
['nnictl', 'create', '--config', new_config_file])
assert proc.returncode == 0, '`nnictl create` failed with code %d' % proc.returncode
max_duration, max_trial_num = get_max_values(new_config_file)
sleep_interval = 3
for _ in range(0, max_duration + 30, sleep_interval):
time.sleep(sleep_interval)
status = get_experiment_status(STATUS_URL)
if status in ['DONE', 'ERROR'
] or get_failed_trial_jobs(TRIAL_JOBS_URL):
break
print_failed_job_log(config['trainingServicePlatform'], TRIAL_JOBS_URL)
if status != 'DONE' or get_succeeded_trial_num(
TRIAL_JOBS_URL) < max_trial_num:
raise AssertionError('Failed to finish in maxExecDuration')
finally:
if os.path.exists(new_config_file):
os.remove(new_config_file)
def run_test():
'''run metrics test'''
config_file = 'metrics_test/metrics.test.yml'
print('Testing %s...' % config_file)
proc = subprocess.run(['nnictl', 'create', '--config', config_file])
assert proc.returncode == 0, '`nnictl create` failed with code %d' % proc.returncode
max_duration, max_trial_num = get_max_values(config_file)
sleep_interval = 3
for _ in range(0, max_duration, sleep_interval):
time.sleep(sleep_interval)
status = get_experiment_status(STATUS_URL)
#print('experiment status:', status)
if status == 'DONE':
num_succeeded = get_succeeded_trial_num(TRIAL_JOBS_URL)
assert num_succeeded == max_trial_num, 'only %d succeeded trial jobs, there should be %d' % (num_succeeded, max_trial_num)
check_metrics()
break
assert status == 'DONE', 'Failed to finish in maxExecDuration'
