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self-scheduled-amd-mi250-caller.yml
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name: Self-hosted runner (AMD mi250 scheduled CI caller)
on:
workflow_run:
workflows: ["Self-hosted runner (AMD scheduled CI caller)"]
branches: ["main"]
types: [completed]
push:
branches:
- run_amd_scheduled_ci_caller*
jobs:
model-ci:
name: Model CI
uses: ./.github/workflows/self-scheduled-amd.yml
with:
job: run_models_gpu
slack_report_channel: "#transformers-ci-daily-amd"
runner: mi250
docker: huggingface/transformers-pytorch-amd-gpu
ci_event: Scheduled CI (AMD) - mi250
secrets: inherit
torch-pipeline:
name: Torch pipeline CI
uses: ./.github/workflows/self-scheduled-amd.yml
with:
job: run_pipelines_torch_gpu
slack_report_channel: "#transformers-ci-daily-amd"
runner: mi250
docker: huggingface/transformers-pytorch-amd-gpu
ci_event: Scheduled CI (AMD) - mi250
secrets: inherit
example-ci:
name: Example CI
uses: ./.github/workflows/self-scheduled-amd.yml
with:
job: run_examples_gpu
slack_report_channel: "#transformers-ci-daily-amd"
runner: mi250
docker: huggingface/transformers-pytorch-amd-gpu
ci_event: Scheduled CI (AMD) - mi250
secrets: inherit
deepspeed-ci:
name: DeepSpeed CI
uses: ./.github/workflows/self-scheduled-amd.yml
with:
job: run_torch_cuda_extensions_gpu
slack_report_channel: "#transformers-ci-daily-amd"
runner: mi250
docker: huggingface/transformers-pytorch-deepspeed-amd-gpu
ci_event: Scheduled CI (AMD) - mi250
secrets: inherit