deepspeedai / deepspeedai/DeepSpeed
[BUG]transformer_inference.so: cannot open shared object file: No such file or directory
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 43.1k
- Forks
- 5k
- Avg merge
- 4d 15h
- Merged PRs (30d)
- 112
Description
Describe the bug
In the third stage of running RLHF, this error occurred.
To Reproduce
Steps to reproduce the behavior:
sh step3_rlhf_finetuning/training_scripts/single_gpu/run_1.3b.sh
Expected behavior
A clear and concise description of what you expected to happen.
ds_report output
Please run ds_report to give us details about your setup.
Screenshots
If applicable, add screenshots to help explain your problem.
System info (please complete the following information):
- OS: [e.g. Ubuntu 18.04]
- four V100 32G]
- (if applicable) what DeepSpeed-MII version are you using
- (if applicable) Hugging Face Transformers/Accelerate/etc. versions
- Python version
- Any other relevant info about your setup
Docker context
Are you using a specific docker image that you can share?
Additional context
Add any other context about the problem here.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with step3_rlhf_finetuning/training_scripts/single_gpu/run_1.3b.sh and reproduce the missing transformer_inference.so error. Collect the requested ds_report and system, Python, DeepSpeed, and related library details before tracing where the shared object is expected to come from. Done means the third RLHF stage runs without the shared-library error.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100