存储库 'https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu2004/x86_64 Release' 没有发布文件
The repository 'https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu2004/x86_64 Release' does not have a Release file
我正在尝试使用 Google Container Registry public 映像作为 Docker 构建的基础映像。我目前正在使用 gcr.io/deeplearning-platform-release/tf-gpu.2-8，但 gcr.io/deeplearning-platform-release/tf-gpu.2-6 和 gcr.io/deeplearning-platform-release/base-cu113 也会出现同样的问题；参考 this Google page。
如果我的 Docker 文件中只有以下两行，它会在第二行崩溃：
FROM gcr.io/deeplearning-platform-release/tf-gpu.2-8
RUN apt-get update
这是我得到的错误：
> [ 2/10] RUN apt-get update:
#5 0.597 Get:1 http://packages.cloud.google.com/apt gcsfuse-focal InRelease [5386 B]
#5 0.629 Ign:2 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64 InRelease
#5 0.647 Get:3 https://packages.cloud.google.com/apt cloud-sdk InRelease [6751 B]
#5 0.669 Ign:4 https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu2004/x86_64 InRelease
#5 0.681 Hit:5 http://archive.ubuntu.com/ubuntu focal InRelease
#5 0.695 Get:6 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64 Release [696 B]
#5 0.713 Get:7 https://packages.cloud.google.com/apt google-fast-socket InRelease [5405 B]
#5 0.735 Err:8 https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu2004/x86_64 Release
#5 0.735 404 Not Found [IP: 152.195.19.142 443]
#5 0.758 Get:9 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64 Release.gpg [836 B]
#5 0.779 Get:10 http://archive.ubuntu.com/ubuntu focal-updates InRelease [114 kB]
#5 0.799 Get:11 http://security.ubuntu.com/ubuntu focal-security InRelease [114 kB]
#5 0.898 Get:12 https://packages.cloud.google.com/apt cloud-sdk/main amd64 Packages [239 kB]
#5 1.171 Get:13 http://archive.ubuntu.com/ubuntu focal-backports InRelease [108 kB]
#5 1.282 Get:14 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64 Packages [629 kB]
#5 1.513 Get:15 http://archive.ubuntu.com/ubuntu focal-updates/multiverse amd64 Packages [30.3 kB]
#5 1.622 Get:16 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 Packages [2124 kB]
#5 1.852 Get:17 http://security.ubuntu.com/ubuntu focal-security/main amd64 Packages [1708 kB]
#5 2.734 Get:18 http://security.ubuntu.com/ubuntu focal-security/restricted amd64 Packages [1086 kB]
#5 3.175 Get:19 http://security.ubuntu.com/ubuntu focal-security/universe amd64 Packages [863 kB]
#5 15.67 Get:20 http://archive.ubuntu.com/ubuntu focal-updates/universe amd64 Packages [1149 kB]
#5 17.75 Get:21 http://archive.ubuntu.com/ubuntu focal-updates/restricted amd64 Packages [1160 kB]
#5 19.52 Get:22 http://archive.ubuntu.com/ubuntu focal-backports/universe amd64 Packages [26.0 kB]
#5 19.62 Reading package lists...
#5 20.71 E: The repository 'https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu2004/x86_64 Release' no longer has a Release file.
我尝试了一些发现的想法 here，但无法让其中任何一个发挥作用。
看起来站点 developer.download.nvidia.com 目前已关闭。这在恢复时是否有效，或者 nvidia 是否移动了他们的下载位置？
如何更改我的 Docker 文件，以便在启动 from 一个 Google GPU 基础图像后可以 RUN apt-get update？
站点 developer.download.nvidia.com 一定已经关闭。今天早上再试一次有效。
我正在尝试使用 Google Container Registry public 映像作为 Docker 构建的基础映像。我目前正在使用 gcr.io/deeplearning-platform-release/tf-gpu.2-8，但 gcr.io/deeplearning-platform-release/tf-gpu.2-6 和 gcr.io/deeplearning-platform-release/base-cu113 也会出现同样的问题；参考 this Google page。
如果我的 Docker 文件中只有以下两行，它会在第二行崩溃：
FROM gcr.io/deeplearning-platform-release/tf-gpu.2-8
RUN apt-get update
这是我得到的错误：
> [ 2/10] RUN apt-get update:
#5 0.597 Get:1 http://packages.cloud.google.com/apt gcsfuse-focal InRelease [5386 B]
#5 0.629 Ign:2 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64 InRelease
#5 0.647 Get:3 https://packages.cloud.google.com/apt cloud-sdk InRelease [6751 B]
#5 0.669 Ign:4 https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu2004/x86_64 InRelease
#5 0.681 Hit:5 http://archive.ubuntu.com/ubuntu focal InRelease
#5 0.695 Get:6 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64 Release [696 B]
#5 0.713 Get:7 https://packages.cloud.google.com/apt google-fast-socket InRelease [5405 B]
#5 0.735 Err:8 https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu2004/x86_64 Release
#5 0.735 404 Not Found [IP: 152.195.19.142 443]
#5 0.758 Get:9 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64 Release.gpg [836 B]
#5 0.779 Get:10 http://archive.ubuntu.com/ubuntu focal-updates InRelease [114 kB]
#5 0.799 Get:11 http://security.ubuntu.com/ubuntu focal-security InRelease [114 kB]
#5 0.898 Get:12 https://packages.cloud.google.com/apt cloud-sdk/main amd64 Packages [239 kB]
#5 1.171 Get:13 http://archive.ubuntu.com/ubuntu focal-backports InRelease [108 kB]
#5 1.282 Get:14 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64 Packages [629 kB]
#5 1.513 Get:15 http://archive.ubuntu.com/ubuntu focal-updates/multiverse amd64 Packages [30.3 kB]
#5 1.622 Get:16 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 Packages [2124 kB]
#5 1.852 Get:17 http://security.ubuntu.com/ubuntu focal-security/main amd64 Packages [1708 kB]
#5 2.734 Get:18 http://security.ubuntu.com/ubuntu focal-security/restricted amd64 Packages [1086 kB]
#5 3.175 Get:19 http://security.ubuntu.com/ubuntu focal-security/universe amd64 Packages [863 kB]
#5 15.67 Get:20 http://archive.ubuntu.com/ubuntu focal-updates/universe amd64 Packages [1149 kB]
#5 17.75 Get:21 http://archive.ubuntu.com/ubuntu focal-updates/restricted amd64 Packages [1160 kB]
#5 19.52 Get:22 http://archive.ubuntu.com/ubuntu focal-backports/universe amd64 Packages [26.0 kB]
#5 19.62 Reading package lists...
#5 20.71 E: The repository 'https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu2004/x86_64 Release' no longer has a Release file.
我尝试了一些发现的想法 here，但无法让其中任何一个发挥作用。
看起来站点 developer.download.nvidia.com 目前已关闭。这在恢复时是否有效，或者 nvidia 是否移动了他们的下载位置？
如何更改我的 Docker 文件，以便在启动 from 一个 Google GPU 基础图像后可以 RUN apt-get update？
站点 developer.download.nvidia.com 一定已经关闭。今天早上再试一次有效。