tensorflow:11 out of the last 11 calls to的警告

下面是代码 

import cv2
import sys
from face_train import face_predict
if __name__ == '__main__':
    if len(sys.argv) != 1:
        print("Usage:%s camera_id\r\n" % (sys.argv[0]))
        sys.exit(0)
    # 加载模型
    # 框住人脸的矩形边框颜色
    color = (0, 255, 0)
    # 捕获指定摄像头的实时视频流
    cap = cv2.VideoCapture(0)
    # 循环检测识别人脸
    while True:
        ret, frame = cap.read()  # 读取一帧视频
        frame = cv2.flip(frame, 1)
        frame_gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
        # 使用人脸识别分类器，读入分类器
        classfier = cv2.CascadeClassifier("E:/xunleiDownload/opencv/sources/data/haarcascades/haarcascade_frontalface_alt2.xml")
        # 利用分类器识别出哪个区域为人脸
        faceRects = classfier.detectMultiScale(frame_gray, scaleFactor=1.1, minNeighbors=3, minSize=(32, 32))
        if len(faceRects) > 0:
            for faceRect in faceRects:
                x, y, w, h = faceRect

                # 截取脸部图像提交给模型识别这是谁
                image = frame[y - 10: y + h + 10, x - 10: x + w + 10]
                faceID = face_predict(image)

                # 如果是“我”
                if faceID == 0:
                    cv2.rectangle(frame, (x - 10, y - 10), (x + w + 10, y + h + 10), color, thickness=2)

                    # 文字提示是谁
                    cv2.putText(frame, 'HYY',
                                (x + 30, y + 30),  # 坐标
                                cv2.FONT_HERSHEY_SIMPLEX,  # 字体
                                1,  # 字号
                                (255, 0, 255),  # 颜色
                                2)  # 字的线宽
                elif faceID==1:
                    cv2.rectangle(frame, (x - 10, y - 10), (x + w + 10, y + h + 10), color, thickness=2)
                    cv2.putText(frame, 'KQW',
                                (x + 30, y + 30),  # 坐标
                                cv2.FONT_HERSHEY_SIMPLEX,  # 字体
                                1,  # 字号
                                (255, 0, 255),  # 颜色
                                2)  # 字的线宽
        cv2.imshow("Face_recognition", frame)
        # 等待10毫秒看是否有按键输入
        k = cv2.waitKey(10)
        if k & 0xFF == ord(' '):
            break
    # 释放摄像头并销毁所有窗口
    cap.release()
    cv2.destroyAllWindows()

这个是警告 

WARNING:tensorflow:11 out of the last 11 calls to <function Model.make_predict_function.<locals>.predict_function at 0x000001F9DE84FB80> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has experimental_relax_shapes=True option that relaxes argument shapes that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/tutorials/customization/performance#python_or_tensor_args and https://www.tensorflow.org/api_docs/python/tf/function for  more details.
 

会不会影响运行呢？

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