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144 lines
4.5 KiB
YAML
144 lines
4.5 KiB
YAML
name: model jobs
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on:
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workflow_call:
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inputs:
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folder_slices:
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required: true
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type: string
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slice_id:
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required: true
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type: number
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runner:
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required: true
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type: string
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machine_type:
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required: true
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type: string
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report_name_prefix:
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required: false
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default: run_models_gpu
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type: string
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env:
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RUN_SLOW: yes
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PT_HPU_LAZY_MODE: 0
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TRANSFORMERS_IS_CI: yes
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PT_ENABLE_INT64_SUPPORT: 1
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HF_TOKEN: ${{ secrets.HF_HUB_READ_TOKEN }}
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HF_HOME: /mnt/cache/.cache/huggingface
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permissions:
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contents: read
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jobs:
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run_models_gpu:
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name: " "
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strategy:
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max-parallel: 8
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fail-fast: false
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matrix:
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folders: ${{ fromJson(inputs.folder_slices)[inputs.slice_id] }}
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runs-on:
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group: ${{ inputs.runner }}
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container:
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image: vault.habana.ai/gaudi-docker/1.21.1/ubuntu22.04/habanalabs/pytorch-installer-2.6.0:latest
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options: --runtime=habana
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-v /mnt/cache/.cache/huggingface:/mnt/cache/.cache/huggingface
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--env OMPI_MCA_btl_vader_single_copy_mechanism=none
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--env HABANA_VISIBLE_DEVICES
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--env HABANA_VISIBLE_MODULES
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--cap-add=sys_nice
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--shm-size=64G
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steps:
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- name: Echo input and matrix info
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shell: bash
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env:
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FOLDER_SLICES: ${{ inputs.folder_slices }}
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MATRIX_FOLDERS: ${{ matrix.folders }}
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SLICE: ${{ toJson(fromJson(inputs.folder_slices)[inputs.slice_id]) }}
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run: |
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echo "$FOLDER_SLICES"
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echo "$MATRIX_FOLDERS"
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echo "$SLICE"
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- name: Echo folder ${{ matrix.folders }}
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shell: bash
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env:
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MATRIX_FOLDERS: ${{ matrix.folders }}
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run: |
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echo "$MATRIX_FOLDERS"
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matrix_folders="${MATRIX_FOLDERS/'models/'/'models_'}"
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echo "$matrix_folders"
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echo "matrix_folders=$matrix_folders" >> "$GITHUB_ENV"
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- name: Checkout
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uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4.3.1
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with:
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fetch-depth: 0
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persist-credentials: false
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- name: Install dependencies
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run: |
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pip install -e .[testing,torch] "numpy<2.0.0" scipy scikit-learn
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- name: HL-SMI
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run: |
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hl-smi
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echo "HABANA_VISIBLE_DEVICES=${HABANA_VISIBLE_DEVICES}"
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echo "HABANA_VISIBLE_MODULES=${HABANA_VISIBLE_MODULES}"
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- name: Environment
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run: python3 utils/print_env.py
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- name: Show installed libraries and their versions
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run: pip freeze
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- name: Set `machine_type` for report and artifact names
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shell: bash
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env:
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MACHINE_TYPE: ${{ inputs.machine_type }}
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run: |
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if [ "$MACHINE_TYPE" = "1gaudi" ]; then
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machine_type=single-gpu
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elif [ "$MACHINE_TYPE" = "2gaudi" ]; then
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machine_type=multi-gpu
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else
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machine_type="$MACHINE_TYPE"
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fi
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echo "machine_type=$machine_type" >> "$GITHUB_ENV"
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- name: Run all tests on Gaudi
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env:
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REPORT_NAME_PREFIX: ${{ inputs.report_name_prefix }}
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MATRIX_FOLDERS: ${{ matrix.folders }}
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run: |
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REPORTS="${machine_type}_${REPORT_NAME_PREFIX}_${MATRIX_FOLDERS}_test_reports"
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python3 -m pytest -v --make-reports="$REPORTS" "tests/${MATRIX_FOLDERS}"
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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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env:
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REPORT_NAME_PREFIX: ${{ inputs.report_name_prefix }}
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MATRIX_FOLDERS: ${{ matrix.folders }}
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run: cat "reports/${machine_type}_${REPORT_NAME_PREFIX}_${MATRIX_FOLDERS}_test_reports/failures_short.txt"
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- name: Run test
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shell: bash
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env:
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REPORT_NAME_PREFIX: ${{ inputs.report_name_prefix }}
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MATRIX_FOLDERS: ${{ matrix.folders }}
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run: |
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REPORTS="${machine_type}_${REPORT_NAME_PREFIX}_${MATRIX_FOLDERS}_test_reports"
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mkdir -p "reports/$REPORTS"
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echo "hello" > "reports/$REPORTS/hello.txt"
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echo "$REPORTS"
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- name: "Test suite reports artifacts: ${{ env.machine_type }}_${{ inputs.report_name_prefix }}_${{ env.matrix_folders }}_test_reports"
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if: ${{ always() }}
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uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4.6.2
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with:
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name: ${{ env.machine_type }}_${{ inputs.report_name_prefix }}_${{ env.matrix_folders }}_test_reports
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path: reports/${{ env.machine_type }}_${{ inputs.report_name_prefix }}_${{ matrix.folders }}_test_reports
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