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transformers/.github/workflows/model_jobs_intel_gaudi.yml
陈赣 06f1fd69a6
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first commit
2026-06-05 16:53:03 +08:00

144 lines
4.5 KiB
YAML

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