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apt-get update 中的错误 - 如何删除模块 - 由于公钥不可用，无法验证以下签名

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apt-get update 中的错误 - 如何删除模块 - 由于公钥不可用，无法验证以下签名

运行 apt-get update 时出现以下错误（Ubuntu）：

Hit:1 http://dk.archive.ubuntu.com/ubuntu eoan InRelease
Hit:2 http://dk.archive.ubuntu.com/ubuntu eoan-updates InRelease
Get:3 http://security.ubuntu.com/ubuntu eoan-security InRelease [97.5 kB]
Hit:4 http://dk.archive.ubuntu.com/ubuntu eoan-backports InRelease                                                                            
Get:5 http://storage.googleapis.com/tensorflow-serving-apt stable InRelease [3,012 B]                                                         
Ign:6 http://dl.google.com/linux/chrome/deb stable InRelease                                                             
Hit:7 http://dl.google.com/linux/chrome/deb stable Release
Err:5 http://storage.googleapis.com/tensorflow-serving-apt stable InRelease
  The following signatures couldn't be verified because the public key is not available: NO_PUBKEY 544B7F63BF9E4D5F
Reading package lists... Done
W: GPG error: http://storage.googleapis.com/tensorflow-serving-apt stable InRelease: The following signatures couldn't be verified because the public key is not available: NO_PUBKEY 544B7F63BF9E4D5F
E: The repository 'http://storage.googleapis.com/tensorflow-serving-apt stable InRelease' is not signed.
N: Updating from such a repository can't be done securely, and is therefore disabled by default.
N: See apt-secure(8) manpage for repository creation and user configuration details.

我已经尝试按照其他帖子中的说明添加丢失的公钥。但没用。现在我想删除并（可能）重新安装有问题的（Tensorflow？）模块。但是，我不知道如何识别要卸载的模块的名称。

我已经尝试过例如“apt list | grep -i tensor”，但我似乎无法找出要用“apt-get remove”命令删除的模块的名称。

任何人？ ：）

答案1

好吧，我并没有完全弄清楚如何通过运行以下命令来摆脱“模块”：

echo "deb [arch=amd64] http://storage.googleapis.com/tensorflow-serving-apt stable tensorflow-model-server tensorflow-model-server-universal" | sudo tee /etc/apt/sources.list.d/tensorflow-serving.list && curl https://storage.googleapis.com/tensorflow-serving-apt/tensorflow-serving.release.pub.gpg | sudo apt-key add -

在 tensorflow 文档中有描述https://www.tensorflow.org/tfx/serving/setup，我至少摆脱了错误：o）

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