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(To Be Discussed) feature: remove prepare_env() #248

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11 changes: 0 additions & 11 deletions handyrl/environment.py
Original file line number Diff line number Diff line change
Expand Up @@ -14,17 +14,6 @@
}


def prepare_env(env_args):
env_name = env_args['env']
env_source = ENVS.get(env_name, env_name)
env_module = importlib.import_module(env_source)

if env_module is None:
print("No environment %s" % env_name)
elif hasattr(env_module, 'prepare'):
env_module.prepare()


def make_env(env_args):
env_name = env_args['env']
env_source = ENVS.get(env_name, env_name)
Expand Down
4 changes: 1 addition & 3 deletions handyrl/evaluation.py
Original file line number Diff line number Diff line change
Expand Up @@ -7,7 +7,7 @@
import time
import multiprocessing as mp

from .environment import prepare_env, make_env
from .environment import make_env
from .connection import send_recv, accept_socket_connections, connect_socket_connection
from .agent import RandomAgent, RuleBasedAgent, Agent, EnsembleAgent, SoftAgent

Expand Down Expand Up @@ -367,7 +367,6 @@ def client_mp_child(env_args, model_path, conn):

def eval_main(args, argv):
env_args = args['env_args']
prepare_env(env_args)
env = make_env(env_args)

model_path = argv[0] if len(argv) >= 1 else 'models/latest.pth'
Expand All @@ -393,7 +392,6 @@ def eval_main(args, argv):
def eval_server_main(args, argv):
print('network match server mode')
env_args = args['env_args']
prepare_env(env_args)
env = make_env(env_args)

num_games = int(argv[0]) if len(argv) >= 1 else 100
Expand Down
3 changes: 1 addition & 2 deletions handyrl/train.py
Original file line number Diff line number Diff line change
Expand Up @@ -21,7 +21,7 @@
import torch.optim as optim
import psutil

from .environment import prepare_env, make_env
from .environment import make_env
from .util import map_r, bimap_r, trimap_r, rotate
from .model import to_torch, to_gpu, ModelWrapper
from .losses import compute_target
Expand Down Expand Up @@ -648,7 +648,6 @@ def run(self):


def train_main(args):
prepare_env(args['env_args']) # preparing environment is needed in stand-alone mode
learner = Learner(args=args)
learner.run()

Expand Down
3 changes: 1 addition & 2 deletions handyrl/worker.py
Original file line number Diff line number Diff line change
Expand Up @@ -13,7 +13,7 @@
import pickle
import copy

from .environment import prepare_env, make_env
from .environment import make_env
from .connection import QueueCommunicator
from .connection import send_recv, open_multiprocessing_connections
from .connection import connect_socket_connection, accept_socket_connections
Expand Down Expand Up @@ -245,7 +245,6 @@ def __init__(self, args):
def run(self):
args = entry(self.args)
print(args)
prepare_env(args['env'])

# open worker
process = []
Expand Down