如何禁用所有张量流警告？答案

【问题标题】：如何禁用所有张量流警告？
【发布时间】：2022-01-22 13:15:16
【问题描述】：

我有一个 for 循环，其中包含几个不同的深度学习模型，会生成此警告：

WARNING:tensorflow:5 out of the last 5 calls to <function Model.make_predict_function.<locals>.predict_function at 0x000001B0A8CC90D0> 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/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for  more details.
WARNING:tensorflow:6 out of the last 6 calls to <function Model.make_predict_function.<locals>.predict_function at 0x000001B0A6C01940> 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/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for  more details.

我在 for 循环中尝试了许多不同的方法来阻止它在没有成功的情况下弹出。是否有简单的方法来禁用所有警告？

【问题讨论】：

此链接应该有助于您的问题。 stackoverflow.com/questions/35911252/….

标签： python tensorflow keras

【解决方案1】：

使用这个：

tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR)

【讨论】：

【解决方案2】：

您可以使用它来避免警告：

import os
import tensorflow as tf

os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'

【讨论】：

详细说明：- 0 = 记录所有消息（默认行为），1 = 不打印 INFO 消息，2 = 不打印 INFO 和 WARNING 消息，3 = INFO、WARNING 和 ERROR 消息不打印

【解决方案3】：

只需将 tensorflow logger 设置为 ERROR：

import tensorflow as tf
tf.get_logger().setLevel('ERROR')

【讨论】：