类型错误:无法将feed_dict key解释为张量

我正在使用线程方法使多个客户端到一个服务器。我用一个带有resnet50的预训练模型来预测一些事情。 我的预测代码是

def prediction(array):
    array = np.array(array , dtype = np.float64)
    array = np.reshape(array, (1,224,224,3))
    #print(array.shape)
    a = preprocess_input(array)
    model = ResNet50(weights='imagenet', include_top=False)
    features = model.predict(a)
    #print(features.shape)
    image = features.reshape(features.shape[0] , -1)
    #print(image.shape)
    loaded_model = keras.models.load_model('RESNET50.h5')
    y_predict = loaded_model.predict(image)
    if y_predict[0][0] > y_predict[0][1]:
        return "Non-Nude"
    else:
        return "Nude"
    K.clear_session()

我的服务器代码是

class ClientThread(Thread):

    def __init__(self,ip,port,sock):
        Thread.__init__(self)
        self.ip = ip
        self.port = port
        self.sock = sock
        print("New thread started for "+ip+":"+str(port))

    def run(self):
        send_one_message(self.sock, self.ip)
        send_one_message(self.sock, self.port)
        data = recv_one_message(self.sock)
        #print("data recevied")
        res = prediction(data)
        send_one_message(self.sock, res)


TCP_IP = ''
TCP_PORT = 12001
tcpsock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
tcpsock.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
tcpsock.bind((TCP_IP, TCP_PORT))
threads = []

while True:
    tcpsock.listen(5)
    print("Waiting for incoming connections...")
    (conn, (ip,port)) = tcpsock.accept()
    print('Got connection from ', (ip,port))
    newthread = ClientThread(ip,port,conn)
    newthread.start()
    threads.append(newthread)

for t in threads:
    t.join()

它能够连接多个客户机,但它只对第一个连接的客户机和每一个连接的客户机给出精确的预测

谢谢你的帮助!