def _construct_players(self, definitions, config):
result = []
left_position = 0
right_position = 0
for definition in definitions:
(name, d) = cfg.parse_player_definition(definition)
config_name = 'player_{}'.format(name)
if config_name in config:
config[config_name] += 1
else:
config[config_name] = 0
try:
player_factory = importlib.import_module(
'gfootball.env.players.{}'.format(name))
except ImportError as e:
logging.warning('Failed loading player "%s"', name)
logging.warning(e)
exit(1)
player_config = copy.deepcopy(config)
player_config.update(d)
player = player_factory.Player(player_config, self._config)
if name == 'agent':
assert not self._agent, 'Only one \'agent\' player allowed'
self._agent = player
self._agent_index = len(result)
self._agent_left_position = left_position
self._agent_right_position = right_position
result.append(player)
left_position += player.num_controlled_left_players()
right_position += player.num_controlled_right_players()
config['index'] += 1
return result
def _construct_players(self, definitions, base_player_config):
# assert 0, definitions
result = []
left_position = 0
right_position = 0
for definition in definitions:
(name, d) = cfg.parse_player_definition(definition)
# assert 0, (name, d)
config_name = 'player_{}'.format(name)
if config_name in base_player_config:
base_player_config[config_name] += 1
else:
base_player_config[config_name] = 0
if name in PLAYERS_BY_NAME:
player_class = PLAYERS_BY_NAME[name]
else:
assert 0, 'Unknown player class: %s. Choose from: %s' % (
name, sorted(PLAYERS_BY_NAME))
player_config = copy.deepcopy(base_player_config)
player_config.update(d)
if ('checkpoint' in player_config) and (player_config['checkpoint']
is not None):
player_config['checkpoint'] = expanduser(
player_config['checkpoint'])
player = player_class(player_config=player_config,
env_config=self._config)
if name.startswith('agent'):
assert not self._agent, 'Only one \'agent\' player allowed'
assert player is not None
self._agent = player
self._agent_index = len(result)
self._agent_left_position = left_position
self._agent_right_position = right_position
result.append(player)
left_position += player.num_controlled_left_players()
right_position += player.num_controlled_right_players()
base_player_config['index'] += 1
assert self._agent is not None
return result
def main(_):
left_player = 'ppo2_cnn:left_players=1,policy=gfootball_impala_cnn,checkpoint=/Users/stephen/Documents/football/checkpoints/11_vs_11_easy_stochastic_v2'
right_player = 'ppo2_cnn:right_players=1,policy=gfootball_impala_cnn,checkpoint=/Users/stephen/Documents/football/checkpoints/11_vs_11_easy_stochastic_v2'
players = [left_player, right_player]
env_config_values = {
'dump_full_episodes': False,
'dump_scores': False,
'players': players,
'level': '11_vs_11_easy_stochastic',
'tracesdir': '/Users/stephen/Documents/football/logs', # logdir
'write_video': False
}
env_config = config.Config(env_config_values)
env = football_env.FootballEnv(env_config)
env.reset()
player_config = {'index': 2}
name, definition = config.parse_player_definition(left_player)
config_name = 'player_{}'.format(name)
if config_name in player_config:
player_config[config_name] += 1
else:
player_config[config_name] = 0
player_config.update(definition)
player_config['stacked'] = True
player = Player(player_config, env_config)
stacker = ObservationStacker(4)
n_timesteps = 30000 # 10 games
game_i = 0
observations = []
actions = []
for i in range(n_timesteps):
obs, _, done, _ = env.step([])
obs_processed = observation_preprocessing.generate_smm([obs])
obs_processed = stacker.get(obs_processed)
observations.append(obs_processed)
act = player.take_action([obs])[0]
actions.append(full_action_set.index(act))
if done:
env.reset()
stacker.reset()
observations = np.squeeze(np.vstack(
observations)) # should not be shape (3000, 72, 96, 16)
actions = np.array(actions) # should be shape (n_samples,)
with open(
f'/Users/stephen/Documents/football/data/observations{game_i}.pkl',
'wb') as f:
pickle.dump(observations, f)
with open(
f'/Users/stephen/Documents/football/data/actions{game_i}.pkl',
'wb') as f:
pickle.dump(actions, f)
game_i += 1
observations = []
actions = []
print('Done :)')