fold A100/H100 logic into helper #1
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| name: ~test TransformerEngine | ||
| on: | ||
| workflow_call: | ||
| inputs: | ||
| TE_IMAGE: | ||
| type: string | ||
| description: 'JAX+TE+PAXML image' | ||
| required: true | ||
| default: 'ghcr.io/nvidia/upstream-pax:latest' | ||
| ARTIFACT_PREFIX: | ||
| type: string | ||
| description: 'Name of the artifact zip file' | ||
| required: false | ||
| default: 'te' | ||
| jobs: | ||
| te-multi-gpu: | ||
| uses: ./.github/workflows/_test_slurm_pyxis.yaml | ||
| strategy: | ||
| matrix: | ||
| N_GPU: [2, 4, 8] | ||
| fail-fast: false | ||
| secrets: inherit | ||
| SSH_PRIVATE_KEY: ${{ secrets.SSH_PRIVATE_KEY }} | ||
| SLURM_LOGIN_USER: ${{ secrets.CLUSTER_LOGIN_USER }} | ||
| CONTAINER_REGISTRY_TOKEN: ${{ secrets.github_token }} | ||
| with: | ||
| NAME: ${{ inputs.ARTIFACT_PREFIX }}-${{ matrix.N_GPU }}GPU | ||
| SLURM_LOGIN_HOSTNAME: ${{ vars.HOSTNAME_SLURM_LOGIN }} | ||
| OUTPUT_BASEDIR: /nfs/cluster | ||
| OUTPUT_MOUNTPOINT: /output | ||
| NODES: 1 | ||
| GPUS_PER_NODE: ${{ matrix.N_GPU }} | ||
| NTASKS: 1 | ||
| NTASKS_PER_NODE: 1 | ||
| TIME_LIMIT: '00:10:00' | ||
| EXTRA_EXPORTS: 'VOCAB_PATH=gs://t5-data/vocabs/cc_all.32000.100extra/sentencepiece.model' | ||
| IMAGE: ${{ inputs.TE_IMAGE }} | ||
| SRUN_PREAMBLE: | | ||
| nvidia-smi | ||
| pip install \ | ||
| pytest \ | ||
| pytest-reportlog \ | ||
| cuda-python \ | ||
| -r ${SRC_PATH_TRANSFORMER_ENGINE}/examples/jax/encoder/requirements.txt | ||
| SRUN_SCRIPT: | | ||
| set -ex | ||
| cd ${SRC_PATH_TRANSFORMER_ENGINE}/examples/jax/encoder | ||
| pytest --report-log=/output/pytest-report.jsonl \ | ||
| test_single_gpu_encoder.py \ | ||
| test_multigpu_encoder.py \ | ||
| test_model_parallel_encoder.py | ||
| sitrep: | ||
| needs: te-multi-gpu | ||
| if: success() || failure() | ||
| runs-on: ubuntu-latest | ||
| env: | ||
| ARTIFACT_NAME_FULL: ${{ inputs.ARTIFACT_PREFIX }}-multigpu-test | ||
| BADGE_FILENAME_FULL: badge-${{ inputs.ARTIFACT_PREFIX }}-multigpu-test.json | ||
| steps: | ||
| - name: Check out the repository under ${GITHUB_WORKSPACE} | ||
| uses: actions/checkout@v4 | ||
| - name: Download artifacts | ||
| uses: actions/download-artifact@v4 | ||
| with: | ||
| pattern: | | ||
| ${{ inputs.ARTIFACT_PREFIX }}-* | ||
| merge-multiple: true | ||
| - name: Generate sitrep | ||
| shell: bash -x -e {0} | ||
| run: | | ||
| # bring in utility functions | ||
| source .github/workflows/scripts/to_json.sh | ||
| test_outcome_files=$(find -name pytest-report.jsonl) | ||
| badge_label='TE Multi GPU tests' | ||
| passed_tests=$(cat ${test_outcome_files} | jq -r 'select(."$report_type" == "CollectReport" and .outcome == "passed") | .outcome' | wc -l) | ||
| failed_tests=$(cat ${test_outcome_files} | jq -r 'select(."$report_type" == "CollectReport" and .outcome == "failed") | .outcome' | wc -l) | ||
| total_tests=$((failed_tests + passed_tests)) | ||
| if [[ ${total_tests} == 0 ]]; then | ||
| badge_message='error' | ||
| badge_color=red | ||
| summary='TE multi GPU tests did not complete due to errors.' | ||
| else | ||
| badge_message="${passed_tests}/${total_tests} passed" | ||
| if [[ ${failed_tests} == 0 ]]; then | ||
| badge_color=brightgreen | ||
| else | ||
| badge_color=yellow | ||
| fi | ||
| summary="TE multi GPU tests : $badge_message" | ||
| fi | ||
| run_id=${{ github.run_id }} \ | ||
| to_json \ | ||
| run_id \ | ||
| summary \ | ||
| total_tests passed_tests failed_tests \ | ||
| badge_label badge_color badge_message \ | ||
| > sitrep.json | ||
| schemaVersion=1 \ | ||
| label="${badge_label}" \ | ||
| message="${badge_message}" \ | ||
| color="${badge_color}" \ | ||
| to_json schemaVersion label message color \ | ||
| > ${{ env.BADGE_FILENAME_FULL }} | ||
| - name: Upload training logs as artifacts | ||
| uses: actions/upload-artifact@v4 | ||
| with: | ||
| name: ${{ env.ARTIFACT_NAME_FULL }} | ||
| path: | | ||
| sitrep.json | ||
| ${{ env.BADGE_FILENAME_FULL }} | ||
