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| from easydict import EasyDict | |
| from ding.config import parallel_transform | |
| from copy import deepcopy | |
| gfootball_ppo_config = dict( | |
| env=dict( | |
| collector_env_num=1, | |
| collector_episode_num=1, | |
| evaluator_env_num=1, | |
| evaluator_episode_num=1, | |
| stop_value=5, | |
| save_replay=False, | |
| render=False, | |
| ), | |
| policy=dict( | |
| cuda=False, | |
| model=dict(type='conv1d', import_names=['dizoo.gfootball.model.conv1d.conv1d']), | |
| nstep=1, | |
| discount_factor=0.995, | |
| learn=dict( | |
| batch_size=32, | |
| learning_rate=0.001, | |
| learner=dict( | |
| learner_num=1, | |
| send_policy_freq=1, | |
| ), | |
| ), | |
| collect=dict( | |
| n_sample=20, | |
| env_num=1, | |
| collector=dict( | |
| collector_num=1, | |
| update_policy_second=3, | |
| ), | |
| ), | |
| eval=dict(evaluator=dict(eval_freq=50), env_num=1), | |
| other=dict( | |
| eps=dict( | |
| type='exp', | |
| start=0.95, | |
| end=0.1, | |
| decay=100000, | |
| ), | |
| replay_buffer=dict( | |
| replay_buffer_size=100000, | |
| enable_track_used_data=True, | |
| ), | |
| commander=dict( | |
| collector_task_space=2, | |
| learner_task_space=1, | |
| eval_interval=5, | |
| league=dict(), | |
| ), | |
| ), | |
| ) | |
| ) | |
| gfootball_ppo_config = EasyDict(gfootball_ppo_config) | |
| main_config = gfootball_ppo_config | |
| gfootball_ppo_create_config = dict( | |
| env=dict( | |
| import_names=['dizoo.gfootball.envs.gfootballsp_env'], | |
| type='gfootball_sp', | |
| ), | |
| env_manager=dict(type='subprocess'), | |
| policy=dict(type='ppo_lstm_command', import_names=['dizoo.gfootball.policy.ppo_lstm']), | |
| learner=dict(type='base', import_names=['ding.worker.learner.base_learner']), | |
| collector=dict( | |
| type='marine', | |
| import_names=['ding.worker.collector.marine_parallel_collector'], | |
| ), | |
| commander=dict( | |
| type='one_vs_one', | |
| import_names=['ding.worker.coordinator.one_vs_one_parallel_commander'], | |
| ), | |
| comm_learner=dict( | |
| type='flask_fs', | |
| import_names=['ding.worker.learner.comm.flask_fs_learner'], | |
| ), | |
| comm_collector=dict( | |
| type='flask_fs', | |
| import_names=['ding.worker.collector.comm.flask_fs_collector'], | |
| ), | |
| ) | |
| gfootball_ppo_create_config = EasyDict(gfootball_ppo_create_config) | |
| create_config = gfootball_ppo_create_config | |
| gfootball_ppo_system_config = dict( | |
| path_data='./data', | |
| path_policy='./policy', | |
| communication_mode='auto', | |
| learner_multi_gpu=False, | |
| learner_gpu_num=1, | |
| coordinator=dict() | |
| ) | |
| gfootball_ppo_system_config = EasyDict(gfootball_ppo_system_config) | |
| system_config = gfootball_ppo_system_config | |
| if __name__ == '__main__': | |
| # or you can enter `ding -m serial -c gfootball_ppo_parallel_config.py -s 0` | |
| from ding.entry import parallel_pipeline | |
| config = tuple([deepcopy(main_config), deepcopy(create_config), deepcopy(system_config)]) | |
| parallel_pipeline(config, seed=0) | |