def params(self):
if self._internal_params is None:
self._internal_params = import_params(self._fm.params_fname)
return self._internal_params
import os
import argparse
from gcg.misc.utils import import_params
from gcg.algos.gcg_inference import GCGinference
parser = argparse.ArgumentParser()
parser.add_argument('exp', type=str)
parser.add_argument('--continue', action='store_true')
args = parser.parse_args()
# load config
py_config_path = os.path.abspath('../configs/{0}.py'.format(args.exp))
assert (os.path.exists(py_config_path))
params = import_params(py_config_path)
with open(py_config_path, 'r') as f:
params_txt = ''.join(f.readlines())
# create algorithm
AlgoClass = params['alg']['class']
assert (issubclass(AlgoClass, GCGinference))
algo = AlgoClass(exp_name=params['exp_name'],
env_params=params['env'],
env_eval_params=params['env_eval'],
rp_params=params['replay_pool'],
rp_eval_params=params['replay_pool_eval'],
labeller_params=params['labeller'],
policy_params=params['policy'],
alg_params=params['alg']['kwargs'],
log_level=params['log_level'],
log_fname='log_inference.txt',