from copy import deepcopy from ditk import logging from ding.model import VAC from ding.policy import PPOPolicy from ding.envs import DingEnvWrapper, SubprocessEnvManagerV2 from ding.data import DequeBuffer from ding.config import compile_config from ding.framework import task, ding_init from ding.framework.context import OnlineRLContext from ding.framework.middleware import multistep_trainer, StepCollector, interaction_evaluator, CkptSaver, \ gae_estimator, ddp_termination_checker, online_logger from ding.utils import set_pkg_seed, DistContext, get_rank, get_world_size from dizoo.atari.envs.atari_env import AtariEnv from dizoo.atari.config.serial.pong.pong_onppo_config import main_config, create_config def main(): logging.getLogger().setLevel(logging.INFO) with DistContext(): rank, world_size = get_rank(), get_world_size() main_config.example = 'pong_ppo_seed0_ddp_avgsplit' main_config.policy.multi_gpu = True main_config.policy.learn.batch_size = main_config.policy.learn.batch_size // world_size main_config.policy.collect.n_sample = main_config.policy.collect.n_sample // world_size cfg = compile_config(main_config, create_cfg=create_config, auto=True) ding_init(cfg) with task.start(async_mode=False, ctx=OnlineRLContext()): collector_cfg = deepcopy(cfg.env) collector_cfg.is_train = True evaluator_cfg = deepcopy(cfg.env) evaluator_cfg.is_train = False collector_env = SubprocessEnvManagerV2( env_fn=[lambda: AtariEnv(collector_cfg) for _ in range(cfg.env.collector_env_num)], cfg=cfg.env.manager ) evaluator_env = SubprocessEnvManagerV2( env_fn=[lambda: AtariEnv(evaluator_cfg) for _ in range(cfg.env.evaluator_env_num)], cfg=cfg.env.manager ) set_pkg_seed(cfg.seed, use_cuda=cfg.policy.cuda) model = VAC(**cfg.policy.model) policy = PPOPolicy(cfg.policy, model=model) if rank == 0: task.use(interaction_evaluator(cfg, policy.eval_mode, evaluator_env)) task.use(StepCollector(cfg, policy.collect_mode, collector_env)) task.use(gae_estimator(cfg, policy.collect_mode)) task.use(multistep_trainer(cfg, policy.learn_mode)) if rank == 0: task.use(CkptSaver(policy, cfg.exp_name, train_freq=1000)) task.use(ddp_termination_checker(max_env_step=int(1e7), rank=rank)) task.run() if __name__ == "__main__": main()