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potential bug fix for drop path decay rate in swin transformer and simple initialisation of swinLayer class. #8080

potential bug fix for drop path decay rate in swin transformer and simple initialisation of swinLayer class.

potential bug fix for drop path decay rate in swin transformer and simple initialisation of swinLayer class. #8080

Workflow file for this run

name: PR slow CI
on:
pull_request:
paths:
- "src/transformers/models/*/modeling_*.py"
- "tests/**/test_*.py"
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref || github.run_id }}
cancel-in-progress: true
env:
HF_HOME: /mnt/cache
TRANSFORMERS_IS_CI: yes
OMP_NUM_THREADS: 8
MKL_NUM_THREADS: 8
RUN_SLOW: yes
# For gated repositories, we still need to agree to share information on the Hub repo. page in order to get access.
# This token is created under the bot `hf-transformers-bot`.
HF_HUB_READ_TOKEN: ${{ secrets.HF_HUB_READ_TOKEN }}
SIGOPT_API_TOKEN: ${{ secrets.SIGOPT_API_TOKEN }}
TF_FORCE_GPU_ALLOW_GROWTH: true
RUN_PT_TF_CROSS_TESTS: 1
CUDA_VISIBLE_DEVICES: 0,1
jobs:
find_models_to_run:
runs-on: ubuntu-22.04
name: Find models to run slow tests
# Triggered only if the required label `run-slow` is added
if: ${{ contains(github.event.pull_request.labels.*.name, 'run-slow') }}
outputs:
models: ${{ steps.models_to_run.outputs.models }}
steps:
- uses: actions/checkout@v4
with:
fetch-depth: "0"
ref: ${{ github.event.pull_request.head.sha }}
- name: Get commit message
run: |
echo "commit_message=$(git show -s --format=%s)" >> $GITHUB_ENV
- name: Get models to run slow tests
run: |
echo "${{ env.commit_message }}"
python -m pip install GitPython
python utils/pr_slow_ci_models.py --commit_message "${{ env.commit_message }}" | tee output.txt
echo "models=$(tail -n 1 output.txt)" >> $GITHUB_ENV
- name: Models to run slow tests
id: models_to_run
run: |
echo "${{ env.models }}"
echo "models=${{ env.models }}" >> $GITHUB_OUTPUT
run_models_gpu:
name: Run all tests for the model
# Triggered only `find_models_to_run` is triggered (label `run-slow` is added) which gives the models to run
# (either a new model PR or via a commit message)
if: ${{ needs.find_models_to_run.outputs.models != '[]' }}
needs: find_models_to_run
strategy:
fail-fast: false
matrix:
folders: ${{ fromJson(needs.find_models_to_run.outputs.models) }}
machine_type: [aws-g4dn-2xlarge-cache, aws-g4dn-12xlarge-cache]
runs-on:
group: '${{ matrix.machine_type }}'
container:
image: huggingface/transformers-all-latest-gpu
options: --gpus all --shm-size "16gb" --ipc host -v /mnt/cache/.cache/huggingface:/mnt/cache/
steps:
- name: Echo input and matrix info
shell: bash
run: |
echo "${{ matrix.folders }}"
- name: Echo folder ${{ matrix.folders }}
shell: bash
# For folders like `models/bert`, set an env. var. (`matrix_folders`) to `models_bert`, which will be used to
# set the artifact folder names (because the character `/` is not allowed).
run: |
echo "${{ matrix.folders }}"
matrix_folders=${{ matrix.folders }}
matrix_folders=${matrix_folders/'models/'/'models_'}
echo "$matrix_folders"
echo "matrix_folders=$matrix_folders" >> $GITHUB_ENV
- name: Update clone
working-directory: /transformers
run: git fetch && git fetch origin pull/${{ github.event.pull_request.number }}/head:pull/${{ github.event.pull_request.number }}/merge && git checkout pull/${{ github.event.pull_request.number }}/merge
- 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 . && python3 -m pip install --upgrade torch torchaudio torchvision
- name: NVIDIA-SMI
run: |
nvidia-smi
- name: Set `machine_type` for report and artifact names
working-directory: /transformers
shell: bash
run: |
echo "${{ matrix.machine_type }}"
if [ "${{ matrix.machine_type }}" = "aws-g4dn-2xlarge-cache" ]; then
machine_type=single-gpu
elif [ "${{ matrix.machine_type }}" = "aws-g4dn-12xlarge-cache" ]; then
machine_type=multi-gpu
else
machine_type=${{ matrix.machine_type }}
fi
echo "$machine_type"
echo "machine_type=$machine_type" >> $GITHUB_ENV
- name: Environment
working-directory: /transformers
run: |
python3 utils/print_env.py
- name: Show installed libraries and their versions
working-directory: /transformers
run: pip freeze
- name: Run all tests on GPU
working-directory: /transformers
run: |
export CUDA_VISIBLE_DEVICES="$(python3 utils/set_cuda_devices_for_ci.py --test_folder ${{ matrix.folders }})"
echo $CUDA_VISIBLE_DEVICES
python3 -m pytest -v -rsfE --make-reports=${{ env.machine_type }}_run_models_gpu_${{ matrix.folders }}_test_reports tests/${{ matrix.folders }}
- name: Failure short reports
if: ${{ failure() }}
continue-on-error: true
run: cat /transformers/reports/${{ env.machine_type }}_run_models_gpu_${{ matrix.folders }}_test_reports/failures_short.txt
- name: Make sure report directory exists
shell: bash
run: |
mkdir -p /transformers/reports/${{ env.machine_type }}_run_models_gpu_${{ matrix.folders }}_test_reports
echo "hello" > /transformers/reports/${{ env.machine_type }}_run_models_gpu_${{ matrix.folders }}_test_reports/hello.txt
echo "${{ env.machine_type }}_run_models_gpu_${{ matrix.folders }}_test_reports"
- name: "Test suite reports artifacts: ${{ env.machine_type }}_run_models_gpu_${{ env.matrix_folders }}_test_reports"
if: ${{ always() }}
uses: actions/upload-artifact@v4
with:
name: ${{ env.machine_type }}_run_models_gpu_${{ env.matrix_folders }}_test_reports
path: /transformers/reports/${{ env.machine_type }}_run_models_gpu_${{ matrix.folders }}_test_reports