Spaces:
Sleeping
Sleeping
import os | |
import gym | |
import torch | |
from tensorboardX import SummaryWriter | |
from easydict import EasyDict | |
from functools import partial | |
from ding.config import compile_config | |
from ding.worker import BaseLearner, SampleSerialCollector, InteractionSerialEvaluator, AdvancedReplayBuffer | |
from ding.envs import BaseEnvManager, DingEnvWrapper | |
from ding.envs import get_vec_env_setting, create_env_manager | |
from ding.policy import DQNPolicy | |
from ding.model import DQN | |
from ding.utils import set_pkg_seed | |
from ding.rl_utils import get_epsilon_greedy_fn | |
from dizoo.atari.config.serial.spaceinvaders.spaceinvaders_dqn_config import main_config, create_config | |
def main(rl_cfg, seed=0): | |
main_cfg, create_cfg = rl_cfg | |
cfg = compile_config( | |
main_cfg, | |
BaseEnvManager, | |
DQNPolicy, | |
BaseLearner, | |
SampleSerialCollector, | |
InteractionSerialEvaluator, | |
AdvancedReplayBuffer, | |
create_cfg=create_cfg, | |
save_cfg=True | |
) | |
create_cfg.policy.type = create_cfg.policy.type + '_command' | |
env_fn = None | |
cfg = compile_config(cfg, seed=seed, env=env_fn, auto=True, create_cfg=create_cfg, save_cfg=True) | |
# Create main components: env, policy | |
env_fn, collector_env_cfg, evaluator_env_cfg = get_vec_env_setting(cfg.env) | |
evaluator_env = create_env_manager(cfg.env.manager, [partial(env_fn, cfg=c) for c in evaluator_env_cfg]) | |
evaluator_env.enable_save_replay(cfg.env.replay_path) # switch save replay interface | |
# Set random seed for all package and instance | |
evaluator_env.seed(seed, dynamic_seed=False) | |
set_pkg_seed(seed, use_cuda=cfg.policy.cuda) | |
# Set up RL Policy | |
model = DQN(**cfg.policy.model) | |
policy = DQNPolicy(cfg.policy, model=model) | |
policy.eval_mode.load_state_dict(torch.load(cfg.policy.load_path, map_location='cpu')) | |
# evaluate | |
tb_logger = SummaryWriter(os.path.join('./{}/log/'.format(cfg.exp_name), 'serial')) | |
evaluator = InteractionSerialEvaluator( | |
cfg.policy.eval.evaluator, evaluator_env, policy.eval_mode, tb_logger, exp_name=cfg.exp_name | |
) | |
evaluator.eval() | |
if __name__ == "__main__": | |
main(rl_cfg=(main_config, create_config), seed=0) | |