def run_model(hyper_parameter_map):
instance_directory = hyper_parameter_map['instance_directory']
os.chdir(instance_directory)
global logger
logger = log_tools.get_logger(logger, "MODEL RUNNER")
obj_return = get_obj_return()
result = run_pre(hyper_parameter_map)
if result == ModelResult.ERROR:
print("run_pre() returned ERROR!")
exit(1)
elif result == ModelResult.SKIP:
log("run_pre() returned SKIP ...")
sys.stdout.flush()
return ("SKIP", "HISTORY_EMPTY")
else:
assert (result == ModelResult.SUCCESS) # proceed...
result, history = run(hyper_parameter_map, obj_return)
runner_utils.write_output(result, instance_directory)
runner_utils.write_output(
json.dumps(history, cls=runner_utils.FromNPEncoder),
instance_directory, 'history.txt')
run_post(hyper_parameter_map, {})
log("RUN STOP")
return (result, history)
# Usage: see how sys.argv is unpacked below:
if __name__ == '__main__':
logger = log_tools.get_logger(logger, __name__)
logger.debug("RUN START")
(
_, # The Python program name (unused)
param_string,
instance_directory,
framework,
runid,
obj_param,
benchmark_timeout) = sys.argv
hyper_parameter_map = runner_utils.init(param_string, instance_directory,
framework, 'save')
hyper_parameter_map['model_name'] = os.getenv("MODEL_NAME")
hyper_parameter_map['experiment_id'] = os.getenv("EXPID")
hyper_parameter_map['run_id'] = runid
hyper_parameter_map['timeout'] = benchmark_timeout
# clear sys.argv so that argparse doesn't object
sys.argv = ['nt3_tc1_runner']
# Call to Benchmark!
result = run(hyper_parameter_map, obj_param)
runner_utils.write_output(result, instance_directory)
logger.debug("RUN STOP")