我有一台macbook pro m1 max，通过tensowflow-apple-download安装了tensorflow。
每次运行使用keras或tensorflow的脚本时，我都会得到以下日志：

>>>  python script.py
Metal device set to: Apple M1 Max

systemMemory: 32.00 GB
maxCacheSize: 10.67 GB

2022-09-06 02:35:38.603010: I tensorflow/core/common_runtime/pluggable_device/pluggable_device_factory.cc:305] Could not identify NUMA node of platform GPU ID 0, defaulting to 0. Your kernel may not have been built with NUMA support.
2022-09-06 02:35:38.603133: I tensorflow/core/common_runtime/pluggable_device/pluggable_device_factory.cc:271] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 0 MB memory) -> physical PluggableDevice (device: 0, name: METAL, pci bus id: <undefined>)
2022-09-06 02:35:38.659578: W tensorflow/core/platform/profile_utils/cpu_utils.cc:128] Failed to get CPU frequency: 0 Hz
2022-09-06 02:35:38.684142: I tensorflow/core/grappler/optimizers/custom_graph_optimizer_registry.cc:113] Plugin optimizer for device_type GPU is enabled.

大多数日志都是不相关的，我能够通过以下方式抑制一些日志：

import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'

但是，我无法禁用这些日志记录信息：

>>>  python script.py
Metal device set to: Apple M1 Max

systemMemory: 32.00 GB
maxCacheSize: 10.67 GB

有没有办法让keras和tensorflow-metal静音？我不想要这些木头。
我已经尝试过了，但没有成功：

import tensorflow as tf
tf.get_logger().setLevel('ERROR')
tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR)
tf.autograph.set_verbosity(2)

import logging
logging.getLogger('tensorflow').setLevel(logging.ERROR)

注意：卸载tensorflow-metal似乎会抑制日志信息，但解决方案并不是最佳的，因为tensorflow将在CPU而不是GPU上运行。

>>> pip uninstall tensorflow-metal

我认为现在出现的日志记录是由于调用keras Sequential()：

from keras.models import Sequential

model = Sequential()