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landeru anton-matosov spartanhaden qazmichaelgw sachinkum0009 kbunal maskjp

docker-ros-x11's Issues

Error: libGL error: MESA-LOADER: failed to retrieve device information

While my setup is a bit different I am trying to do a very similar thing. So I wanted to reach out and see if you have ever seen this error before while trying to open Gazebo within a docker container.

My setup:
Host: Fedora 35
Docker Image: ros2:foxy

Docker script setup is essentially the same as your install Gazebo setup though so this is where I was hoping you might have insights into this error. I don't have a GPU so I am not attempting to build your image to test.

CUDA 10.0 and Tensorflow 1.11 incompatibility

Why is the current Dockerfile being built with CUDA version 10.0 and Tensorflow 1.11? According to the Tensorflow docs, 1.11 is only compatible with CUDA 9:

https://www.tensorflow.org/install/source#tested_build_configurations

Running the container indeed results in an error indicating that tensorflow is looking for CUDA 9.0:

Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/__init__.py", line 22, in <module>
    from tensorflow.python import pywrap_tensorflow  # pylint: disable=unused-import
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/__init__.py", line 49, in <module>
    from tensorflow.python import pywrap_tensorflow
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/pywrap_tensorflow.py", line 74, in <module>
    raise ImportError(msg)
ImportError: Traceback (most recent call last):
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/pywrap_tensorflow.py", line 58, in <module>
    from tensorflow.python.pywrap_tensorflow_internal import *
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in <module>
    _pywrap_tensorflow_internal = swig_import_helper()
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 24, in swig_import_helper
    _mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
ImportError: libcublas.so.9.0: cannot open shared object file: No such file or directory

Use this image in a singularity container

Dear Henry,

First of all thanks a lot for supplying this amazing image. I tried it in docker and it works great. However, I could not get it to work in singularity. I tried using the following command to make it work:

singularity build test.simg docker://nvcr.io/henry2423/ros-x11-ubuntu:kinetic

When I do this I get the following error:

WARNING: Authentication token file not found: Only pulls of public images will succeed
INFO:    Starting build...
FATAL:   While performing build: conveyor failed to get: error getting username and password: error reading JSON file "/home/ricks/.docker/config.json": error unmarshaling JSON at "/home/ricks/.docker/config.json": unexpected end of JSON input

I tried authenticating myself but I think the error comes from the fact that your image is currently not available in the nvcr.io repository.

Can you maybe give me some advice on how to run your image in singularity instead of docker.

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