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@ -133,7 +133,7 @@ class ResNet(object):
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with tf.control_dependencies(self.update_ops):
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with tf.control_dependencies(self.update_ops):
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self.train_op = tf.train.AdamOptimizer(1e-4).minimize(self.total_loss)
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self.train_op = tf.train.AdamOptimizer(1e-4).minimize(self.total_loss)
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self.var_list = tf.get_collection(tf.GraphKeys.GLOBAL_VARIABLES)
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self.var_list = tf.get_collection(tf.GraphKeys.GLOBAL_VARIABLES)
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self.saver = tf.train.Saver(var_list=self.var_list)
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self.saver = tf.train.Saver(max_to_keep=0, var_list=self.var_list)
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self.sess = multi_gpu.create_session()
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self.sess = multi_gpu.create_session()
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self.sess.run(tf.global_variables_initializer())
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self.sess.run(tf.global_variables_initializer())
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if checkpoint_path is not None:
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if checkpoint_path is not None:
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@ -203,6 +203,7 @@ class ResNet(object):
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iters = 0
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iters = 0
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while True:
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while True:
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new_file_list = list(set(os.listdir(data_path)).difference(all_file_list))
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new_file_list = list(set(os.listdir(data_path)).difference(all_file_list))
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if new_file_list:
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all_file_list = os.listdir(data_path)
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all_file_list = os.listdir(data_path)
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new_file_list.sort(
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new_file_list.sort(
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key=lambda file: os.path.getmtime(data_path + file) if not os.path.isdir(data_path + file) else 0)
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key=lambda file: os.path.getmtime(data_path + file) if not os.path.isdir(data_path + file) else 0)
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@ -241,9 +242,16 @@ class ResNet(object):
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self.saver.save(self.sess, self.checkpoint_path + save_path)
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self.saver.save(self.sess, self.checkpoint_path + save_path)
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def _file_to_training_data(self, file_name):
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def _file_to_training_data(self, file_name):
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print(file_name)
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read = False
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with open(file_name, 'r') as file:
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with open(file_name, 'rb') as file:
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while not read:
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try:
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file.seek(0)
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data = cPickle.load(file)
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data = cPickle.load(file)
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read = True
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except Exception as e:
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print(e)
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time.sleep(1)
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history = deque(maxlen=self.history_length)
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history = deque(maxlen=self.history_length)
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states = []
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states = []
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probs = []
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probs = []
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@ -50,6 +50,12 @@ if __name__ == '__main__':
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# print "Start Name Sever : " + str(start_new_server.pid) # + str(start_new_server.wait())
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# print "Start Name Sever : " + str(start_new_server.pid) # + str(start_new_server.wait())
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# time.sleep(1)
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# time.sleep(1)
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# start a name server if no name server exists
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if len(os.popen('ps aux | grep pyro4-ns | grep -v grep').readlines()) == 0:
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start_new_server = subprocess.Popen(['pyro4-ns', '&'])
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print "Start Name Sever : " + str(start_new_server.pid) # + str(start_new_server.wait())
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time.sleep(1)
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# start two different player with different network weights.
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# start two different player with different network weights.
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black_role_name = 'black' + str(args.id)
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black_role_name = 'black' + str(args.id)
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white_role_name = 'white' + str(args.id)
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white_role_name = 'white' + str(args.id)
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@ -137,7 +143,7 @@ if __name__ == '__main__':
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file_list.sort(key=lambda file: os.path.getmtime(args.result_path + file) if not os.path.isdir(
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file_list.sort(key=lambda file: os.path.getmtime(args.result_path + file) if not os.path.isdir(
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args.result_path + file) else 0)
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args.result_path + file) else 0)
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data_num = eval(file_list[-1][:-4]) + 1
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data_num = eval(file_list[-1][:-4]) + 1
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with open("./data/" + str(data_num) + ".pkl", "w") as file:
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with open("./data/" + str(data_num) + ".pkl", "wb") as file:
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picklestring = cPickle.dump(data, file)
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picklestring = cPickle.dump(data, file)
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data.reset()
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data.reset()
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game_num += 1
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game_num += 1
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