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test.py
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test.py
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import argparse
import pickle
import mlp
import eslib.functions as F
import gym
import numpy as np
from gym.monitoring import VideoRecorder
class Runner:
def __init__(self, args):
with open(args.src_filepath, "rb") as f:
model = pickle.load(f)
env = gym.make(args.env_name)
self.model = model
self.env = env
self.n_iter = args.n_iter
self.rec_flag = args.rec
self.recorder = VideoRecorder(env, base_path=args.src_filepath)
def __call__(self):
for i in range(self.n_iter):
score = self.get_score()
print(score)
def close(self):
self.recorder.close()
self.env.close()
def get_score(self):
env = self.env
obs = env.reset()
acc = 0
while True:
y = self.model(obs)
action = np.random.choice(len(y), p=F.softmax(y))
obs, reward, done, info = env.step(action)
acc += reward
if self.rec_flag:
self.recorder.capture_frame()
if done:
break
return acc
def main():
parser = argparse.ArgumentParser()
parser.add_argument('--env_name', dest='env_name', type=str, required=True,
help="gym env name")
parser.add_argument('--src', dest='src_filepath', type=str, required=True,
help="input file name")
parser.add_argument('--n_iter', dest='n_iter', type=int, default=10,
help="number of iterations")
parser.add_argument('--rec', dest='rec', const=True, action='store_const', default=False,
help="whether to save the video")
args = parser.parse_args()
runner = Runner(args)
try:
runner()
finally:
runner.close()
main()