Repository: huggingface/transformers
Pull request: Separate docker images for Nvidia and AMD in benchmarking

# What does this PR do?

This PR adds the option to run the benchmarks with different Docker images and options for each hardware platform.

## 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](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#create-a-pull-request),
      Pull Request section?
- [ ] Was this discussed/approved via a Github issue or the [forum](https://discuss.huggingface.co/)? 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](https://github.com/huggingface/transformers/tree/main/docs), and
      [here are tips on formatting docstrings](https://github.com/huggingface/transformers/tree/main/docs#writing-source-documentation).
- [ ] 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.

<!-- Your PR will be replied to more quickly if you can figure out the right person to tag with @

 If you know how to use git blame, that is the easiest way, otherwise, here is a rough guide of **who to tag**.
 Please tag fewer than 3 people.

Models:

- text models: @ArthurZucker
- vision models: @amyeroberts, @qubvel
- speech models: @eustlb
- graph models: @clefourrier

Library:

- flax: @gante and @Rocketknight1
- generate: @zucchini-nlp (visual-language models) or @gante (all others)
- pipelines: @Rocketknight1
- tensorflow: @gante and @Rocketknight1
- tokenizers: @ArthurZucker
- trainer: @zach-huggingface, @SunMarc and @qgallouedec
- chat templates: @Rocketknight1

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- accelerate: [different repo](https://github.com/huggingface/accelerate)
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Changed files:
filename: .github/workflows/benchmark_v2.yml
patch: @@ -7,6 +7,14 @@ on:
         description: 'GH Actions runner group to use'
         required: true
         type: string
+      container_image:
+        description: 'Docker image to use'
+        required: true
+        type: string
+      container_options:
+        description: 'Container options to use'
+        required: true
+        type: string
       commit_sha:
         description: 'Commit SHA to benchmark'
         required: false
@@ -38,8 +46,8 @@ jobs:
       (github.event_name == 'pull_request' && contains( github.event.pull_request.labels.*.name, 'run-benchmark')) ||
       (github.event_name == 'schedule')
     container:
-      image: huggingface/transformers-pytorch-gpu
-      options: --gpus all --privileged --ipc host --shm-size "16gb"
+      image: ${{ inputs.container_image }}
+      options: ${{ inputs.container_options }}
     steps:
       - name: Get repo
         uses: actions/checkout@v4

filename: .github/workflows/benchmark_v2_a10_caller.yml
patch: @@ -13,6 +13,8 @@ jobs:
     uses: ./.github/workflows/benchmark_v2.yml
     with:
       runner: aws-g5-4xlarge-cache-use1-public-80
+      container_image: huggingface/transformers-pytorch-gpu
+      container_options: --gpus all --privileged --ipc host --shm-size "16gb"
       commit_sha: ${{ github.sha }}
       run_id: ${{ github.run_id }}
       benchmark_repo_id: hf-internal-testing/transformers-daily-benchmarks

filename: .github/workflows/benchmark_v2_mi325_caller.yml
patch: @@ -13,6 +13,8 @@ jobs:
     uses: ./.github/workflows/benchmark_v2.yml
     with:
       runner: amd-mi325-ci-1gpu
+      container_image: huggingface/transformers-pytorch-amd-gpu
+      container_options: --device /dev/kfd --device /dev/dri --env ROCR_VISIBLE_DEVICES --shm-size "16gb" --ipc host -v /mnt/cache/.cache/huggingface:/mnt/cache
       commit_sha: ${{ github.sha }}
       run_id: ${{ github.run_id }}
       benchmark_repo_id: hf-internal-testing/transformers-daily-benchmarks