Repository: huggingface/transformers
Pull request: Add collated reports job to Nvidia CI

# What does this PR do?

This PR adds the new collated reports job to Nvidia as well that produces reports like this: https://huggingface.co/datasets/optimum-amd/transformers_daily_ci/blob/main/2025-08-25/runs/39-17221003312/ci_results_run_models_gpu/collated_reports_e68146f.json

This is required to compare test result between platforms easily.


## 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

Integrations:

- deepspeed: HF Trainer/Accelerate: @SunMarc @zach-huggingface
- ray/raytune: @richardliaw, @amogkam
- Big Model Inference: @SunMarc
- quantization (bitsandbytes, autogpt): @SunMarc @MekkCyber

Documentation: @stevhliu

HF projects:

- accelerate: [different repo](https://github.com/huggingface/accelerate)
- datasets: [different repo](https://github.com/huggingface/datasets)
- diffusers: [different repo](https://github.com/huggingface/diffusers)
- rust tokenizers: [different repo](https://github.com/huggingface/tokenizers)

Maintained examples (not research project or legacy):

- Flax: @Rocketknight1
- PyTorch: See Models above and tag the person corresponding to the modality of the example.
- TensorFlow: @Rocketknight1

 -->


Changed files:
filename: .github/workflows/model_jobs.yml
patch: @@ -25,6 +25,12 @@ on:
         required: false
         default: run_models_gpu
         type: string
+      runner_type:
+        required: false
+        type: string
+      report_repo_id:
+        required: false
+        type: string
 
 env:
   HF_HOME: /mnt/cache
@@ -143,3 +149,15 @@ jobs:
         with:
           name: ${{ env.machine_type }}_${{ inputs.report_name_prefix }}_${{ env.matrix_folders }}_test_reports
           path: /transformers/reports/${{ env.machine_type }}_${{ inputs.report_name_prefix }}_${{ matrix.folders }}_test_reports
+
+  collated_reports:
+    name: Collated Reports
+    if: ${{ always() }}
+    needs: run_models_gpu
+    uses: huggingface/transformers/.github/workflows/collated-reports.yml@main
+    with:
+      job: run_models_gpu
+      report_repo_id: ${{ inputs.report_repo_id }}
+      gpu_name: ${{ inputs.runner_type }}
+      machine_type: ${{ inputs.machine_type }}
+    secrets: inherit

filename: .github/workflows/self-scheduled-caller.yml
patch: @@ -52,6 +52,7 @@ jobs:
       slack_report_channel: "#transformers-ci-daily-models"
       docker: huggingface/transformers-all-latest-gpu
       ci_event: Daily CI
+      runner_type: "a10"
       report_repo_id: hf-internal-testing/transformers_daily_ci
       commit_sha: ${{ github.sha }}
     secrets: inherit

filename: .github/workflows/self-scheduled.yml
patch: @@ -31,6 +31,9 @@ on:
       commit_sha:
         required: false
         type: string
+      runner_type:
+        required: false
+        type: string
       models:
         default: ""
         required: false
@@ -126,6 +129,8 @@ jobs:
       runner_map: ${{ needs.setup.outputs.runner_map }}
       docker: ${{ inputs.docker }}
       commit_sha: ${{ inputs.commit_sha || github.sha }}
+      runner_type: ${{ inputs.runner_type }}
+      report_repo_id: ${{ inputs.report_repo_id }}
     secrets: inherit
 
   run_trainer_and_fsdp_gpu: