def tf_play(colors_on, special):
game = ConsoleGame(console_colors=colors_on, special_chars=special)
# INIT TENSORFLOW
session = tf.Session()
ann = TFPlayer(game, session)
filename = ann.last_model_filename()
if filename is None:
raise Exception('Could not load ANN data.')
ann.load(filename)
kwargs = {
'messages': game.messages,
'game_controls': game.GAME_CONTROLS,
'fail_callback': game.wrong_human_move,
}
hp = HumanPlayer(game, **kwargs)
context = QuoridorContext(game)
get_players = players_creator_factory(hp, 'human', ann)
context.reset(players=get_players())
while not context.is_terminal:
game.display_on_console(context)
context.current['player'](context)
game.display_on_console(context)
session.close()
def measure(colors_on, special, opponent_type):
game = ConsoleGame(console_colors=colors_on, special_chars=special)
opponent = OPPONENTS[opponent_type](game)
# INIT TENSORFLOW
# session = tf.Session()
# ann = TFPlayer(game, session)
# saver = tf.train.Saver()
# saver.restore(session, 'model.ckpt')
# print 'tfplayer input layer size:', ann.input
# print 'x'*80
ann = RandomPlayerWithPath(game)
context = QuoridorContext(game)
while True:
get_players = players_creator_factory(opponent, opponent_type, ann)
context.reset(players=get_players())
while not context.is_terminal:
context.current['player'](context)
game.display_on_console(context)
break
