E2E accuracy huggingface, training, float32, Rolling, PyTorch 2.5 #419
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| name: E2E accuracy | |
| run-name: ${{ inputs.run_name }} | |
| on: | |
| workflow_dispatch: | |
| inputs: | |
| pytorch_ref: | |
| description: PyTorch ref, keep empty for default | |
| type: string | |
| default: "" | |
| suite: | |
| description: Test suite | |
| type: choice | |
| options: | |
| - all | |
| - huggingface | |
| - timm_models | |
| - torchbench | |
| default: all | |
| mode: | |
| description: Inference, inference-no-freezing, or training | |
| type: choice | |
| options: | |
| - all | |
| - inference | |
| - inference-no-freezing | |
| - training | |
| default: all | |
| dtype: | |
| description: Data type | |
| type: choice | |
| options: | |
| - all | |
| - amp_bf16 | |
| - amp_fp16 | |
| - bfloat16 | |
| - float16 | |
| - float32 | |
| default: all | |
| models: | |
| description: Run all models or a subset from .github/models/performance/{suite}.txt | |
| type: choice | |
| options: | |
| - all | |
| - subset | |
| default: all | |
| check_all_subset_models: | |
| description: In "subset" mode, check all subset models | |
| type: boolean | |
| default: false | |
| only_one_model: | |
| description: Run only this one model | |
| type: string | |
| default: "" | |
| runner_label: | |
| description: Runner label, keep empty for default | |
| type: string | |
| default: "" | |
| TORCH_COMPILE_DEBUG: | |
| description: TORCH_COMPILE_DEBUG | |
| type: string | |
| default: "" | |
| run_name: | |
| description: Custom run name | |
| type: string | |
| default: "E2E accuracy" | |
| permissions: read-all | |
| jobs: | |
| setup: | |
| name: Setup | |
| runs-on: Linux | |
| outputs: | |
| suite: ${{ steps.set-matrix.outputs.suite }} | |
| mode: ${{ steps.set-matrix.outputs.mode }} | |
| dtype: ${{ steps.set-matrix.outputs.dtype }} | |
| timeout-minutes: 10 | |
| steps: | |
| - name: Set matrix | |
| id: set-matrix | |
| run: | | |
| if [[ -z "${{ inputs.suite }}" || "${{ inputs.suite }}" == "all" ]]; then | |
| suite='["huggingface", "timm_models", "torchbench"]' | |
| else | |
| suite='["${{ inputs.suite }}"]' | |
| fi | |
| if [[ -z "${{ inputs.mode }}" || "${{ inputs.mode }}" == "all" ]]; then | |
| mode='["inference", "inference-no-freezing", "training"]' | |
| else | |
| mode='["${{ inputs.mode }}"]' | |
| fi | |
| if [[ -z "${{ inputs.dtype }}" || "${{ inputs.dtype }}" == "all" ]]; then | |
| dtype='["amp_bf16", "amp_fp16", "bfloat16", "float16", "float32"]' | |
| else | |
| dtype='["${{ inputs.dtype }}"]' | |
| fi | |
| echo "suite=$suite" >> $GITHUB_OUTPUT | |
| echo "mode=$mode" >> $GITHUB_OUTPUT | |
| echo "dtype=$dtype" >> $GITHUB_OUTPUT | |
| print_inputs: | |
| name: Print inputs | |
| needs: setup | |
| runs-on: Linux | |
| steps: | |
| - name: Print inputs | |
| run: | | |
| echo "${{ toJSON(github.event.inputs) }}" | |
| - name: Print setup outputs | |
| run: | | |
| echo "${{ toJSON(needs.setup.outputs) }}" | |
| run_tests: | |
| name: Run test matrix | |
| needs: setup | |
| strategy: | |
| matrix: | |
| suite: ${{ fromJson(needs.setup.outputs.suite) }} | |
| mode: ${{ fromJson(needs.setup.outputs.mode) }} | |
| dtype: ${{ fromJson(needs.setup.outputs.dtype) }} | |
| fail-fast: false | |
| uses: ./.github/workflows/e2e-reusable.yml | |
| with: | |
| pytorch_ref: ${{ inputs.pytorch_ref }} | |
| suite: ${{ matrix.suite }} | |
| mode: ${{ matrix.mode }} | |
| test_mode: accuracy | |
| dtype: ${{ matrix.dtype }} | |
| models: ${{ inputs.models }} | |
| check_all_subset_models: ${{ inputs.check_all_subset_models || false }} | |
| only_one_model: ${{ inputs.only_one_model }} | |
| runner_label: ${{ inputs.runner_label }} | |
| TORCH_COMPILE_DEBUG: ${{ inputs.TORCH_COMPILE_DEBUG }} |