tensorflow / tensorflow/build

LD_LIBRARY_PATH may be incorrect in Docker

Open
#92 0 comments 2 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

sig build dockerfiles
Dominant language
Shell
Stars
311
Forks
139
Avg merge
1h 28m
Merged PRs (30d)
1

Description

Docker has env. variable LD_LIBRARY_PATH set but the path doesn't exist

tf-docker /tf/tensorflow > echo $LD_LIBRARY_PATH
/usr/local/nvidia/lib:/usr/local/nvidia/lib64

tf-docker /tf/tensorflow > ls /usr/local/
bin/       cuda-11.1/ etc/       include/   libexec/   sbin/      src/
cuda/      cuda-11.2/ games/     lib/       man/       share/

But this directory doesn't exist in the Docker Image. It doesn't cause any issue, but would be nice to fix it.
From what I read, "nvidia" -> "cuda" is the right path and it exists in the Docker

/usr/local/cuda/lib64 seems to have the right .so files.

Reference issues:

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Inspect how LD_LIBRARY_PATH is set in the Docker image and compare the configured /usr/local/nvidia/lib and /usr/local/nvidia/lib64 paths with the existing /usr/local/cuda/lib64 directory. Reproduce the environment with tf-docker, update the path if appropriate, and verify that the configured directories exist.

Written by the indexing model from the issue text.

Assessment

Tech stack
docker, shell
Domain
devops, infrastructure
Issue type
Bug
Difficulty
2/5
Estimated time
1-3 hours
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
45/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.