Use AMD CI workflow defined in hf-workflows (#35058)
* Use AMD CI workflow defined in hf-workflows
This commit is contained in:
ivarflakstad
@@ -1,55 +1,55 @@
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name: Self-hosted runner (AMD mi210 scheduled CI caller)
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name: Self-hosted runner (AMD mi210 scheduled CI caller)
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on:
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on:
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workflow_run:
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workflow_run:
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workflows: ["Self-hosted runner (AMD scheduled CI caller)"]
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workflows: ["Self-hosted runner (AMD scheduled CI caller)"]
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branches: ["main"]
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branches: ["main"]
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types: [completed]
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types: [completed]
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push:
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push:
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branches:
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branches:
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- run_amd_scheduled_ci_caller*
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- run_amd_scheduled_ci_caller*
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jobs:
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jobs:
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model-ci:
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model-ci:
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name: Model CI
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name: Model CI
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uses: ./.github/workflows/self-scheduled-amd.yml
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uses: huggingface/hf-workflows/.github/workflows/transformers_amd_ci_scheduled.yaml@main
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with:
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with:
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job: run_models_gpu
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job: run_models_gpu
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slack_report_channel: "#transformers-ci-daily-amd"
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slack_report_channel: "#transformers-ci-daily-amd"
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runner: mi210
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runner: mi210
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docker: huggingface/transformers-pytorch-amd-gpu
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docker: huggingface/transformers-pytorch-amd-gpu
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ci_event: Scheduled CI (AMD) - mi210
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ci_event: Scheduled CI (AMD) - mi210
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secrets: inherit
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secrets: inherit
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torch-pipeline:
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torch-pipeline:
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name: Torch pipeline CI
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name: Torch pipeline CI
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uses: ./.github/workflows/self-scheduled-amd.yml
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uses: huggingface/hf-workflows/.github/workflows/transformers_amd_ci_scheduled.yaml@main
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with:
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with:
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job: run_pipelines_torch_gpu
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job: run_pipelines_torch_gpu
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slack_report_channel: "#transformers-ci-daily-amd"
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slack_report_channel: "#transformers-ci-daily-amd"
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runner: mi210
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runner: mi210
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docker: huggingface/transformers-pytorch-amd-gpu
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docker: huggingface/transformers-pytorch-amd-gpu
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ci_event: Scheduled CI (AMD) - mi210
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ci_event: Scheduled CI (AMD) - mi210
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secrets: inherit
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secrets: inherit
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example-ci:
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example-ci:
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name: Example CI
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name: Example CI
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uses: ./.github/workflows/self-scheduled-amd.yml
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uses: huggingface/hf-workflows/.github/workflows/transformers_amd_ci_scheduled.yaml@main
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with:
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with:
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job: run_examples_gpu
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job: run_examples_gpu
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slack_report_channel: "#transformers-ci-daily-amd"
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slack_report_channel: "#transformers-ci-daily-amd"
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runner: mi210
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runner: mi210
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docker: huggingface/transformers-pytorch-amd-gpu
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docker: huggingface/transformers-pytorch-amd-gpu
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ci_event: Scheduled CI (AMD) - mi210
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ci_event: Scheduled CI (AMD) - mi210
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secrets: inherit
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secrets: inherit
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deepspeed-ci:
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deepspeed-ci:
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name: DeepSpeed CI
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name: DeepSpeed CI
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uses: ./.github/workflows/self-scheduled-amd.yml
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uses: huggingface/hf-workflows/.github/workflows/transformers_amd_ci_scheduled.yaml@main
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with:
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with:
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job: run_torch_cuda_extensions_gpu
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job: run_torch_cuda_extensions_gpu
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slack_report_channel: "#transformers-ci-daily-amd"
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slack_report_channel: "#transformers-ci-daily-amd"
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runner: mi210
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runner: mi210
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docker: huggingface/transformers-pytorch-deepspeed-amd-gpu
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docker: huggingface/transformers-pytorch-deepspeed-amd-gpu
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ci_event: Scheduled CI (AMD) - mi210
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ci_event: Scheduled CI (AMD) - mi210
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secrets: inherit
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secrets: inherit
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@@ -1,55 +1,55 @@
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name: Self-hosted runner (AMD mi250 scheduled CI caller)
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name: Self-hosted runner (AMD mi250 scheduled CI caller)
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on:
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on:
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workflow_run:
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workflow_run:
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workflows: ["Self-hosted runner (AMD scheduled CI caller)"]
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workflows: ["Self-hosted runner (AMD scheduled CI caller)"]
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branches: ["main"]
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branches: ["main"]
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types: [completed]
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types: [completed]
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push:
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push:
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branches:
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branches:
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- run_amd_scheduled_ci_caller*
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- run_amd_scheduled_ci_caller*
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jobs:
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jobs:
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model-ci:
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model-ci:
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name: Model CI
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name: Model CI
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uses: ./.github/workflows/self-scheduled-amd.yml
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uses: huggingface/hf-workflows/.github/workflows/transformers_amd_ci_scheduled.yaml@main
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with:
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with:
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job: run_models_gpu
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job: run_models_gpu
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slack_report_channel: "#transformers-ci-daily-amd"
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slack_report_channel: "#transformers-ci-daily-amd"
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runner: mi250
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runner: mi250
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docker: huggingface/transformers-pytorch-amd-gpu
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docker: huggingface/transformers-pytorch-amd-gpu
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ci_event: Scheduled CI (AMD) - mi250
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ci_event: Scheduled CI (AMD) - mi250
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secrets: inherit
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secrets: inherit
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torch-pipeline:
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torch-pipeline:
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name: Torch pipeline CI
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name: Torch pipeline CI
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uses: ./.github/workflows/self-scheduled-amd.yml
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uses: huggingface/hf-workflows/.github/workflows/transformers_amd_ci_scheduled.yaml@main
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with:
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with:
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job: run_pipelines_torch_gpu
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job: run_pipelines_torch_gpu
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slack_report_channel: "#transformers-ci-daily-amd"
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slack_report_channel: "#transformers-ci-daily-amd"
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runner: mi250
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runner: mi250
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docker: huggingface/transformers-pytorch-amd-gpu
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docker: huggingface/transformers-pytorch-amd-gpu
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ci_event: Scheduled CI (AMD) - mi250
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ci_event: Scheduled CI (AMD) - mi250
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secrets: inherit
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secrets: inherit
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example-ci:
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example-ci:
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name: Example CI
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name: Example CI
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uses: ./.github/workflows/self-scheduled-amd.yml
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uses: huggingface/hf-workflows/.github/workflows/transformers_amd_ci_scheduled.yaml@main
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with:
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with:
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job: run_examples_gpu
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job: run_examples_gpu
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slack_report_channel: "#transformers-ci-daily-amd"
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slack_report_channel: "#transformers-ci-daily-amd"
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runner: mi250
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runner: mi250
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docker: huggingface/transformers-pytorch-amd-gpu
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docker: huggingface/transformers-pytorch-amd-gpu
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ci_event: Scheduled CI (AMD) - mi250
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ci_event: Scheduled CI (AMD) - mi250
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secrets: inherit
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secrets: inherit
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deepspeed-ci:
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deepspeed-ci:
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name: DeepSpeed CI
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name: DeepSpeed CI
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uses: ./.github/workflows/self-scheduled-amd.yml
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uses: huggingface/hf-workflows/.github/workflows/transformers_amd_ci_scheduled.yaml@main
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with:
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with:
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job: run_torch_cuda_extensions_gpu
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job: run_torch_cuda_extensions_gpu
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slack_report_channel: "#transformers-ci-daily-amd"
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slack_report_channel: "#transformers-ci-daily-amd"
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runner: mi250
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runner: mi250
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docker: huggingface/transformers-pytorch-deepspeed-amd-gpu
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docker: huggingface/transformers-pytorch-deepspeed-amd-gpu
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ci_event: Scheduled CI (AMD) - mi250
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ci_event: Scheduled CI (AMD) - mi250
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secrets: inherit
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secrets: inherit
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349
.github/workflows/self-scheduled-amd.yml
vendored
349
.github/workflows/self-scheduled-amd.yml
vendored
@@ -1,349 +0,0 @@
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name: Self-hosted runner (scheduled-amd)
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# Note: For the AMD CI, we rely on a caller workflow and on the workflow_call event to trigger the
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# CI in order to run it on both MI210 and MI250, without having to use matrix here which pushes
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# us towards the limit of allowed jobs on GitHub Actions.
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on:
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workflow_call:
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inputs:
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job:
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required: true
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type: string
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slack_report_channel:
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required: true
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type: string
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runner:
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required: true
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type: string
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docker:
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required: true
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type: string
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ci_event:
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required: true
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type: string
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env:
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HF_HOME: /mnt/cache
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TRANSFORMERS_IS_CI: yes
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OMP_NUM_THREADS: 8
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MKL_NUM_THREADS: 8
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RUN_SLOW: yes
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HF_HUB_READ_TOKEN: ${{ secrets.HF_HUB_READ_TOKEN }}
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SIGOPT_API_TOKEN: ${{ secrets.SIGOPT_API_TOKEN }}
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NUM_SLICES: 2
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# Important note: each job (run_tests_single_gpu, run_tests_multi_gpu, run_examples_gpu, run_pipelines_torch_gpu) requires all the previous jobs before running.
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# This is done so that we avoid parallelizing the scheduled tests, to leave available
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# runners for the push CI that is running on the same machine.
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jobs:
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check_runner_status:
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name: Check Runner Status
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runs-on: ubuntu-22.04
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steps:
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- name: Checkout transformers
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uses: actions/checkout@v4
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with:
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fetch-depth: 2
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- name: Check Runner Status
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run: python utils/check_self_hosted_runner.py --target_runners hf-amd-mi210-ci-1gpu-1,hf-amd-mi250-ci-1gpu-1,hf-amd-mi300-ci-1gpu-1 --token ${{ secrets.ACCESS_REPO_INFO_TOKEN }}
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check_runners:
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name: Check Runners
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needs: check_runner_status
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strategy:
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matrix:
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machine_type: [single-gpu, multi-gpu]
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runs-on: ['${{ matrix.machine_type }}', self-hosted, amd-gpu, '${{ inputs.runner }}']
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container:
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image: huggingface/transformers-pytorch-amd-gpu
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options: --device /dev/kfd --device /dev/dri --env ROCR_VISIBLE_DEVICES --shm-size "16gb" --ipc host -v /mnt/cache/.cache/huggingface:/mnt/cache/
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steps:
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- name: ROCM-SMI
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run: |
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rocm-smi
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- name: ROCM-INFO
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run: |
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rocminfo | grep "Agent" -A 14
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- name: Show ROCR environment
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run: |
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echo "ROCR: $ROCR_VISIBLE_DEVICES"
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setup:
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if: contains(fromJSON('["run_models_gpu"]'), inputs.job)
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name: Setup
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needs: check_runners
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strategy:
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matrix:
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machine_type: [single-gpu, multi-gpu]
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runs-on: ['${{ matrix.machine_type }}', self-hosted, amd-gpu, '${{ inputs.runner }}']
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container:
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image: huggingface/transformers-pytorch-amd-gpu
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options: --device /dev/kfd --device /dev/dri --env ROCR_VISIBLE_DEVICES --shm-size "16gb" --ipc host -v /mnt/cache/.cache/huggingface:/mnt/cache/
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outputs:
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folder_slices: ${{ steps.set-matrix.outputs.folder_slices }}
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slice_ids: ${{ steps.set-matrix.outputs.slice_ids }}
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steps:
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- name: Update clone
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working-directory: /transformers
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run: |
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git fetch && git checkout ${{ github.sha }}
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- name: Cleanup
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working-directory: /transformers
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run: |
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rm -rf tests/__pycache__
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rm -rf tests/models/__pycache__
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rm -rf reports
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- name: Show installed libraries and their versions
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working-directory: /transformers
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run: pip freeze
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- id: set-matrix
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name: Identify models to test
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working-directory: /transformers/tests
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run: |
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echo "folder_slices=$(python3 ../utils/split_model_tests.py --num_splits ${{ env.NUM_SLICES }})" >> $GITHUB_OUTPUT
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echo "slice_ids=$(python3 -c 'd = list(range(${{ env.NUM_SLICES }})); print(d)')" >> $GITHUB_OUTPUT
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- name: ROCM-SMI
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run: |
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rocm-smi
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- name: ROCM-INFO
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run: |
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rocminfo | grep "Agent" -A 14
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|
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- name: Show ROCR environment
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run: |
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echo "ROCR: $ROCR_VISIBLE_DEVICES"
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- name: Environment
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working-directory: /transformers
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run: |
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python3 utils/print_env.py
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run_models_gpu:
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if: ${{ inputs.job == 'run_models_gpu' }}
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name: Single GPU tests
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needs: setup
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strategy:
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max-parallel: 1 # For now, not to parallelize. Can change later if it works well.
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fail-fast: false
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matrix:
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machine_type: [single-gpu, multi-gpu]
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slice_id: ${{ fromJSON(needs.setup.outputs.slice_ids) }}
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uses: ./.github/workflows/model_jobs_amd.yml
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with:
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|
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folder_slices: ${{ needs.setup.outputs.folder_slices }}
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|
||||||
machine_type: ${{ matrix.machine_type }}
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|
||||||
slice_id: ${{ matrix.slice_id }}
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runner: ${{ inputs.runner }}
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docker: ${{ inputs.docker }}
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secrets: inherit
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|
||||||
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run_pipelines_torch_gpu:
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if: ${{ inputs.job == 'run_pipelines_torch_gpu' }}
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name: PyTorch pipelines
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|
||||||
needs: check_runners
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|
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strategy:
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|
||||||
fail-fast: false
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|
||||||
matrix:
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|
||||||
machine_type: [single-gpu, multi-gpu]
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|
||||||
runs-on: ['${{ matrix.machine_type }}', self-hosted, amd-gpu, '${{ inputs.runner }}']
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|
||||||
container:
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|
||||||
image: ${{ inputs.docker }}
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|
||||||
options: --device /dev/kfd --device /dev/dri --env ROCR_VISIBLE_DEVICES --shm-size "16gb" --ipc host -v /mnt/cache/.cache/huggingface:/mnt/cache/
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|
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steps:
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|
||||||
- name: Update clone
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|
||||||
working-directory: /transformers
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|
||||||
run: git fetch && git checkout ${{ github.sha }}
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|
||||||
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||||||
- name: Reinstall transformers in edit mode (remove the one installed during docker image build)
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|
||||||
working-directory: /transformers
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|
||||||
run: python3 -m pip uninstall -y transformers && python3 -m pip install -e .
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|
||||||
|
|
||||||
- name: ROCM-SMI
|
|
||||||
run: |
|
|
||||||
rocm-smi
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|
||||||
|
|
||||||
- name: ROCM-INFO
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|
||||||
run: |
|
|
||||||
rocminfo | grep "Agent" -A 14
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|
||||||
|
|
||||||
- name: Show ROCR environment
|
|
||||||
run: |
|
|
||||||
echo "ROCR: $ROCR_VISIBLE_DEVICES"
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|
||||||
|
|
||||||
- name: Environment
|
|
||||||
working-directory: /transformers
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|
||||||
run: |
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|
||||||
python3 utils/print_env.py
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|
||||||
|
|
||||||
- name: Show installed libraries and their versions
|
|
||||||
working-directory: /transformers
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|
||||||
run: pip freeze
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|
||||||
|
|
||||||
- name: Run all pipeline tests on GPU
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|
||||||
working-directory: /transformers
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|
||||||
run: |
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|
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python3 -m pytest -n 1 -v --dist=loadfile --make-reports=${{ matrix.machine_type }}_run_pipelines_torch_gpu_test_reports tests/pipelines -m "not not_device_test"
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|
||||||
|
|
||||||
- name: Failure short reports
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|
||||||
if: ${{ failure() }}
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|
||||||
continue-on-error: true
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|
||||||
run: cat /transformers/reports/${{ matrix.machine_type }}_run_pipelines_torch_gpu_test_reports/failures_short.txt
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|
||||||
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|
||||||
- name: "Test suite reports artifacts: ${{ matrix.machine_type }}_run_pipelines_torch_gpu_test_reports"
|
|
||||||
if: ${{ always() }}
|
|
||||||
uses: actions/upload-artifact@v4
|
|
||||||
with:
|
|
||||||
name: ${{ matrix.machine_type }}_run_pipelines_torch_gpu_test_reports
|
|
||||||
path: /transformers/reports/${{ matrix.machine_type }}_run_pipelines_torch_gpu_test_reports
|
|
||||||
|
|
||||||
run_examples_gpu:
|
|
||||||
if: ${{ inputs.job == 'run_examples_gpu' }}
|
|
||||||
name: Examples directory
|
|
||||||
needs: check_runners
|
|
||||||
strategy:
|
|
||||||
fail-fast: false
|
|
||||||
matrix:
|
|
||||||
machine_type: [single-gpu]
|
|
||||||
runs-on: ['${{ matrix.machine_type }}', self-hosted, amd-gpu, '${{ inputs.runner }}']
|
|
||||||
container:
|
|
||||||
image: ${{ inputs.docker }}
|
|
||||||
options: --device /dev/kfd --device /dev/dri --env ROCR_VISIBLE_DEVICES --shm-size "16gb" --ipc host -v /mnt/cache/.cache/huggingface:/mnt/cache/
|
|
||||||
steps:
|
|
||||||
- name: Update clone
|
|
||||||
working-directory: /transformers
|
|
||||||
run: git fetch && git checkout ${{ github.sha }}
|
|
||||||
|
|
||||||
- name: Reinstall transformers in edit mode (remove the one installed during docker image build)
|
|
||||||
working-directory: /transformers
|
|
||||||
run: python3 -m pip uninstall -y transformers && python3 -m pip install -e .
|
|
||||||
|
|
||||||
- name: ROCM-SMI
|
|
||||||
run: |
|
|
||||||
rocm-smi
|
|
||||||
|
|
||||||
- name: ROCM-INFO
|
|
||||||
run: |
|
|
||||||
rocminfo | grep "Agent" -A 14
|
|
||||||
|
|
||||||
- name: Show ROCR environment
|
|
||||||
run: |
|
|
||||||
echo "ROCR: $ROCR_VISIBLE_DEVICES"
|
|
||||||
|
|
||||||
- name: Environment
|
|
||||||
working-directory: /transformers
|
|
||||||
run: |
|
|
||||||
python3 utils/print_env.py
|
|
||||||
|
|
||||||
- name: Show installed libraries and their versions
|
|
||||||
working-directory: /transformers
|
|
||||||
run: pip freeze
|
|
||||||
|
|
||||||
- name: Run examples tests on GPU
|
|
||||||
working-directory: /transformers
|
|
||||||
run: |
|
|
||||||
pip install -r examples/pytorch/_tests_requirements.txt
|
|
||||||
python3 -m pytest -v --make-reports=${{ matrix.machine_type }}_run_examples_gpu_test_reports examples/pytorch -m "not not_device_test"
|
|
||||||
|
|
||||||
- name: Failure short reports
|
|
||||||
if: ${{ failure() }}
|
|
||||||
continue-on-error: true
|
|
||||||
run: cat /transformers/reports/${{ matrix.machine_type }}_run_examples_gpu_test_reports/failures_short.txt
|
|
||||||
|
|
||||||
- name: "Test suite reports artifacts: ${{ matrix.machine_type }}_run_examples_gpu_test_reports"
|
|
||||||
if: ${{ always() }}
|
|
||||||
uses: actions/upload-artifact@v4
|
|
||||||
with:
|
|
||||||
name: ${{ matrix.machine_type }}_run_examples_gpu_test_reports
|
|
||||||
path: /transformers/reports/${{ matrix.machine_type }}_run_examples_gpu_test_reports
|
|
||||||
|
|
||||||
run_torch_cuda_extensions_gpu:
|
|
||||||
if: ${{ inputs.job == 'run_torch_cuda_extensions_gpu' }}
|
|
||||||
name: Torch ROCm deepspeed tests
|
|
||||||
needs: check_runners
|
|
||||||
strategy:
|
|
||||||
fail-fast: false
|
|
||||||
matrix:
|
|
||||||
machine_type: [single-gpu, multi-gpu]
|
|
||||||
runs-on: ['${{ matrix.machine_type }}', self-hosted, amd-gpu, '${{ inputs.runner }}']
|
|
||||||
container:
|
|
||||||
image: ${{ inputs.docker }}
|
|
||||||
options: --device /dev/kfd --device /dev/dri --env ROCR_VISIBLE_DEVICES --shm-size "16gb" --ipc host -v /mnt/cache/.cache/huggingface:/mnt/cache/
|
|
||||||
steps:
|
|
||||||
- name: Update clone
|
|
||||||
working-directory: /transformers
|
|
||||||
run: git fetch && git checkout ${{ github.sha }}
|
|
||||||
|
|
||||||
- name: Reinstall transformers in edit mode (remove the one installed during docker image build)
|
|
||||||
working-directory: /transformers
|
|
||||||
run: python3 -m pip uninstall -y transformers && python3 -m pip install -e .
|
|
||||||
|
|
||||||
- name: ROCM-SMI
|
|
||||||
run: |
|
|
||||||
rocm-smi
|
|
||||||
|
|
||||||
- name: ROCM-INFO
|
|
||||||
run: |
|
|
||||||
rocminfo | grep "Agent" -A 14
|
|
||||||
|
|
||||||
- name: Show ROCR environment
|
|
||||||
run: |
|
|
||||||
echo "ROCR: $ROCR_VISIBLE_DEVICES"
|
|
||||||
|
|
||||||
- name: Environment
|
|
||||||
working-directory: /transformers
|
|
||||||
run: |
|
|
||||||
python3 utils/print_env.py
|
|
||||||
|
|
||||||
- name: Show installed libraries and their versions
|
|
||||||
working-directory: /transformers
|
|
||||||
run: pip freeze
|
|
||||||
|
|
||||||
- name: Run all tests on GPU
|
|
||||||
working-directory: /transformers
|
|
||||||
run: python3 -m pytest -v --make-reports=${{ matrix.machine_type }}_run_torch_cuda_extensions_gpu_test_reports tests/deepspeed tests/extended -m "not not_device_test"
|
|
||||||
|
|
||||||
- name: Failure short reports
|
|
||||||
if: ${{ failure() }}
|
|
||||||
continue-on-error: true
|
|
||||||
run: cat /transformers/reports/${{ matrix.machine_type }}_run_torch_cuda_extensions_gpu_test_reports/failures_short.txt
|
|
||||||
|
|
||||||
- name: "Test suite reports artifacts: ${{ matrix.machine_type }}_run_torch_cuda_extensions_gpu_test_reports"
|
|
||||||
if: ${{ always() }}
|
|
||||||
uses: actions/upload-artifact@v4
|
|
||||||
with:
|
|
||||||
name: ${{ matrix.machine_type }}_run_torch_cuda_extensions_gpu_test_reports
|
|
||||||
path: /transformers/reports/${{ matrix.machine_type }}_run_torch_cuda_extensions_gpu_test_reports
|
|
||||||
|
|
||||||
send_results:
|
|
||||||
name: Slack Report
|
|
||||||
needs: [
|
|
||||||
check_runner_status,
|
|
||||||
check_runners,
|
|
||||||
setup,
|
|
||||||
run_models_gpu,
|
|
||||||
run_pipelines_torch_gpu,
|
|
||||||
run_examples_gpu,
|
|
||||||
run_torch_cuda_extensions_gpu
|
|
||||||
]
|
|
||||||
if: ${{ always() }}
|
|
||||||
uses: ./.github/workflows/slack-report.yml
|
|
||||||
with:
|
|
||||||
job: ${{ inputs.job }}
|
|
||||||
# This would be `skipped` if `setup` is skipped.
|
|
||||||
setup_status: ${{ needs.setup.result }}
|
|
||||||
slack_report_channel: ${{ inputs.slack_report_channel }}
|
|
||||||
# This would be an empty string if `setup` is skipped.
|
|
||||||
folder_slices: ${{ needs.setup.outputs.folder_slices }}
|
|
||||||
quantization_matrix: ${{ needs.setup.outputs.quantization_matrix }}
|
|
||||||
ci_event: ${{ inputs.ci_event }}
|
|
||||||
|
|
||||||
secrets: inherit
|
|
||||||
6
.github/workflows/slack-report.yml
vendored
6
.github/workflows/slack-report.yml
vendored
@@ -70,7 +70,7 @@ jobs:
|
|||||||
with:
|
with:
|
||||||
name: ci_results_${{ inputs.job }}
|
name: ci_results_${{ inputs.job }}
|
||||||
path: ci_results_${{ inputs.job }}
|
path: ci_results_${{ inputs.job }}
|
||||||
|
|
||||||
- uses: actions/checkout@v4
|
- uses: actions/checkout@v4
|
||||||
- uses: actions/download-artifact@v4
|
- uses: actions/download-artifact@v4
|
||||||
- name: Send message to Slack for quantization workflow
|
- name: Send message to Slack for quantization workflow
|
||||||
@@ -90,7 +90,7 @@ jobs:
|
|||||||
pip install huggingface_hub
|
pip install huggingface_hub
|
||||||
pip install slack_sdk
|
pip install slack_sdk
|
||||||
pip show slack_sdk
|
pip show slack_sdk
|
||||||
python utils/notification_service_quantization.py "${{ inputs.quantization_matrix }}"
|
python utils/notification_service_quantization.py "${{ inputs.quantization_matrix }}"
|
||||||
|
|
||||||
# Upload complete failure tables, as they might be big and only truncated versions could be sent to Slack.
|
# Upload complete failure tables, as they might be big and only truncated versions could be sent to Slack.
|
||||||
- name: Failure table artifacts
|
- name: Failure table artifacts
|
||||||
@@ -98,4 +98,4 @@ jobs:
|
|||||||
uses: actions/upload-artifact@v4
|
uses: actions/upload-artifact@v4
|
||||||
with:
|
with:
|
||||||
name: ci_results_${{ inputs.job }}
|
name: ci_results_${{ inputs.job }}
|
||||||
path: ci_results_${{ inputs.job }}
|
path: ci_results_${{ inputs.job }}
|
||||||
|
|||||||
Reference in New Issue
Block a user