trl env report all cuda devices

[qgallouedec]

What does this PR do?

$ trl env

  Copy-paste the following information when reporting an issue:

  - Platform: Linux-5.15.0-1048-aws-x86_64-with-glibc2.31
  - Python version: 3.11.9
  - PyTorch version: 2.4.1
- - CUDA device: NVIDIA H100 80GB HBM3
+ - CUDA device(s): NVIDIA H100 80GB HBM3, NVIDIA H100 80GB HBM3
  - Transformers version: 4.46.0.dev0
  - Accelerate version: 0.34.2
  - Accelerate config: not found
  - Datasets version: 3.0.0
  - HF Hub version: 0.24.7
  - TRL version: 0.12.0.dev0+b3f93f0
  - bitsandbytes version: 0.41.1
  - DeepSpeed version: 0.15.1
  - Diffusers version: 0.30.3
  - Liger-Kernel version: 0.3.0
  - LLM-Blender version: 0.0.2
  - OpenAI version: 1.46.0
  - PEFT version: 0.13.0

Before submitting

• This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
• Did you read the contributor guideline,
  Pull Request section?
• Was this discussed/approved via a GitHub issue? Please add a link
  to it if that's the case.
• Did you make sure to update the documentation with your changes? Here are the
  documentation guidelines.
• Did you write any new necessary tests?

Who can review?

Anyone in the community is free to review the PR once the tests have passed. Feel free to tag
members/contributors who may be interested in your PR.