Faild to build docker image using Dockerfile

[atinfinity]

I tried to build docker image using Dockerfile of CarND-Term1-Starter-Kit.
https://github.com/udacity/CarND-Term1-Starter-Kit

But, I could not build docker image. Please give me some advice.

System information(host PC)

• Ubuntu 16.04 64bit
• nvidia-387
• nvidia-docker2

Steps to reproduce

CPU

$ git clone https://github.com/udacity/CarND-Term1-Starter-Kit.git
$ cd CarND-Term1-Starter-Kit
$ docker build -t udacity/carnd-term1-starter-kit -f Dockerfile.cpu .

GPU

$ git clone https://github.com/udacity/CarND-Term1-Starter-Kit.git
$ cd CarND-Term1-Starter-Kit
$ docker build -t udacity/carnd-term1-starter-kit -f Dockerfile.gpu .

Error message

The following message was displayed.

Traceback (most recent call last):                                       |  14%
  File "/root/miniconda3/envs/carnd-term1/bin/jupyter-nbextension", line 7, in <module>
    from notebook.nbextensions import main
  File "/root/miniconda3/envs/carnd-term1/lib/python3.5/site-packages/notebook/__init__.py", line 25, in <module>
    from .nbextensions import install_nbextension
  File "/root/miniconda3/envs/carnd-term1/lib/python3.5/site-packages/notebook/nbextensions.py", line 23, in <module>
    from jupyter_core.paths import (
ImportError: No module named 'jupyter_core'
An unexpected error has occurred.
Please consider posting the following information to the
conda GitHub issue tracker at:

    https://github.com/conda/conda/issues

[Tsuihao]

I faced the same issue, I think the reason is conda outage.
Add RUN conda update -n base conda -y in the Dockerfile.cpu / Dockerfile.gpu
As shown in the following here: Tsuihao@0687915

And it works!

[mvirgo]

We've since updated the conda version in the Dockerfile to avoid this issue, although the solution above should also work.