gomoku / DI-engine /dizoo /gfootball /entry /parallel /gfootball_ppo_parallel_config.py
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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)