Tensorboard 无效响应:Jupyterlab 中的 500 内部服务器错误 [英] Tensorboard Invalid response: 500 Internal Server Error in Jupyterlab

问题描述

我在 Jupyterlab 中从 Docker 镜像运行一个 pod.Docker 镜像基于官方的 tensorflow/tensorflow:1.15.0-py3 镜像，我按照

对此有什么想法吗?我在 Jupyter notebook 6.0.2 上其他一切正常.

谢谢

解决方案

你的问题在这个 github issue 中提到 https://github.com/chaoleili/jupyterlab_tensorboard/issues/25.

这可能是由于最近对 Tensorflow 进行了一些重构.更具体地说，删除 TensorBoardWSGI.请参阅https://github.com/tensorflow/tensorboard/pull/3643.

目前，修复它的最简单方法是使用较低版本的 Tensorboard.TensorBoardWSGI 可用的最新版本是 2.2.

pip install tensorboard==2.2

应该可以解决您的问题.

Im running a pod in Jupyterlab from a Docker image. The Docker image is based on the official tensorflow/tensorflow:1.15.0-py3 image, and I installed every depenencies as described here.

Whenever I try to launch Tensorboard, I get:

'Launcher Error Invalid response: 500 Internal Server Error'

Any idea on this? Im on Jupyter notebook 6.0.2 Everything else works fine.

Thanks

解决方案

Your problem is mentioned in this github issue https://github.com/chaoleili/jupyterlab_tensorboard/issues/25.

This is likely due to some recent refactoring of Tensorflow. More specifically, the removal of TensorBoardWSGI. See https://github.com/tensorflow/tensorboard/pull/3643.

Currently, the easiest way to fix it will be to use a lower version of Tensorboard. The latest version where TensorBoardWSGI is available is 2.2.

pip install tensorboard==2.2

Should fix your problem.

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