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Code Issues Pull Requests Actions 7 Packages Projects Releases Wiki Activity

Update self-push workflow (#17177)

Browse Source 
* update push ci

* install git-python

* update comment

* update deepspeed jobs

* fix report

* skip 2 more tests that require fairscale

* Fix changes in test_fetcher.py (to deal with `setup.py` is changed)

* set RUN_PT_TF_CROSS_TESTS=1 and final clean-up

* remove SIGOPT_API_TOKEN

* remove echo "$matrix_folders"

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
This commit is contained in:
Yih-Dar
2022-05-13 16:28:00 +02:00
committed by GitHub
parent 18d6b356c5
commit 38043d8453
5 changed files with 325 additions and 376 deletions
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508
.github/workflows/self-push.yml vendored
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@@ -20,358 +20,192 @@ env:
OMP_NUM_THREADS: 8
MKL_NUM_THREADS: 8
PYTEST_TIMEOUT: 60
TF_FORCE_GPU_ALLOW_GROWTH: true
RUN_PT_TF_CROSS_TESTS: 1
jobs:
run_tests_torch_gpu:
runs-on: [self-hosted, docker-gpu, single-gpu]
setup:
name: Setup
runs-on: ubuntu-latest
outputs:
matrix: ${{ steps.set-matrix.outputs.matrix }}
test_map: ${{ steps.set-matrix.outputs.test_map }}
steps:
- name: Checkout transformers
uses: actions/checkout@v2
with:
fetch-depth: 2
- name: Cleanup
run: |
rm -rf tests/__pycache__
rm -rf tests/models/__pycache__
rm -rf reports
- name: Fetch the tests to run
# TODO: add `git-python` in the docker images
run: |
pip install --upgrade git-python
python utils/tests_fetcher.py --diff_with_last_commit | tee test_preparation.txt
- name: Report fetched tests
uses: actions/upload-artifact@v2
with:
name: test_fetched
path: test_preparation.txt
- id: set-matrix
name: Organize tests into models
# The `keys` is used as GitHub actions matrix for jobs, i.e. `models/bert`, `tokenization`, `pipeline`, etc.
# The `test_map` is used to get the actual identified test files under each key.
# If no test to run (so no `test_map.json` file), create a dummy map (empty matrix will fail)
run: |
if [ -f test_map.json ]; then
keys=$(python3 -c 'import json; fp = open("test_map.json"); test_map = json.load(fp); fp.close(); d = list(test_map.keys()); print(d)')
test_map=$(python3 -c 'import json; fp = open("test_map.json"); test_map = json.load(fp); fp.close(); print(test_map)')
else
keys=$(python3 -c 'keys = ["dummy"]; print(keys)')
test_map=$(python3 -c 'test_map = {"dummy": []}; print(test_map)')
fi
echo $keys
echo $test_map
echo "::set-output name=matrix::$keys"
echo "::set-output name=test_map::$test_map"
run_tests_single_gpu:
name: Model Tests on single GPU
needs: setup
# `dummy` means there is no test to run
if: contains(fromJson(needs.setup.outputs.matrix), 'dummy') != true
strategy:
fail-fast: false
matrix:
folders: ${{ fromJson(needs.setup.outputs.matrix) }}
machines: [single-gpu]
runs-on: [self-hosted, docker-gpu, '${{ matrix.machines }}']
container:
image: pytorch/pytorch:1.9.0-cuda11.1-cudnn8-runtime
image: huggingface/transformers-all-latest-gpu
options: --gpus 0 --shm-size "16gb" --ipc host -v /mnt/cache/.cache/huggingface:/mnt/cache/
steps:
- name: Install dependencies
run: |
apt -y update && apt install -y software-properties-common && apt -y update && add-apt-repository -y ppa:git-core/ppa && apt -y update && apt install -y git
apt install -y libsndfile1-dev espeak-ng
pip install --upgrade pip
pip install .[sklearn,testing,onnxruntime,sentencepiece,torch-speech,vision,timm]
pip install https://github.com/kpu/kenlm/archive/master.zip
- name: Launcher docker
uses: actions/checkout@v2
with:
fetch-depth: 2
- name: NVIDIA-SMI
run: |
nvidia-smi
- name: Are GPUs recognized by our DL frameworks
working-directory: /transformers
run: |
utils/print_env_pt.py
TF_CPP_MIN_LOG_LEVEL=3 python3 -c "import tensorflow as tf; print('TF GPUs available:', bool(tf.config.list_physical_devices('GPU')))"
TF_CPP_MIN_LOG_LEVEL=3 python3 -c "import tensorflow as tf; print('Number of TF GPUs available:', len(tf.config.list_physical_devices('GPU')))"
- name: Fetch the tests to run
- name: Echo folder ${{ matrix.folders }}
shell: bash
# For folders like `models/bert`, set an env. var. (`matrix_folders`) to `models_bert`, which will be used to
# set the artifact folder names (because the character `/` is not allowed).
run: |
python utils/tests_fetcher.py --diff_with_last_commit | tee test_preparation.txt
echo "${{ matrix.folders }}"
echo "${{ fromJson(needs.setup.outputs.test_map)[matrix.folders] }}"
matrix_folders=${{ matrix.folders }}
matrix_folders=${matrix_folders/'models/'/'models_'}
echo "$matrix_folders"
echo "matrix_folders=$matrix_folders" >> $GITHUB_ENV
- name: Report fetched tests
uses: actions/upload-artifact@v2
with:
name: test_fetched
path: test_preparation.txt
- name: Update clone
working-directory: /transformers
run: git fetch && git checkout ${{ github.sha }}
- name: Run all non-slow tests on GPU
- name: Run all non-slow selected tests on GPU
working-directory: /transformers
run: |
if [ -f test_list.txt ]; then
python -m pytest -n 2 --dist=loadfile -v --make-reports=tests_torch_gpu $(cat test_list.txt)
fi
python3 -m pytest -n 2 --dist=loadfile -v --make-reports=${{ matrix.machines }}_tests_gpu_${{ matrix.folders }} ${{ fromJson(needs.setup.outputs.test_map)[matrix.folders] }}
- name: Failure short reports
if: ${{ failure() }}
run: cat reports/tests_torch_gpu/failures_short.txt
continue-on-error: true
run: cat /transformers/reports/${{ matrix.machines }}_tests_gpu_${{ matrix.folders }}/failures_short.txt
- name: Test suite reports artifacts
if: ${{ always() }}
uses: actions/upload-artifact@v2
with:
name: run_all_tests_torch_gpu_test_reports
path: reports
name: ${{ matrix.machines }}_run_all_tests_gpu_${{ env.matrix_folders }}_test_reports
path: /transformers/reports/${{ matrix.machines }}_tests_gpu_${{ matrix.folders }}
# run_tests_flax_gpu:
# runs-on: [self-hosted, docker-gpu-test, single-gpu]
# container:
# image: tensorflow/tensorflow:2.4.1-gpu
# options: --gpus 0 --shm-size "16gb" --ipc host -v /mnt/cache/.cache/huggingface:/mnt/cache/
# steps:
# - name: Set up Python 3.7
# uses: actions/setup-python@v2
# with:
# python-version: 3.7
#
# - name: Install dependencies
# run: |
# apt -y update && apt install -y software-properties-common && apt -y update && add-apt-repository -y ppa:git-core/ppa && apt -y update && apt install -y git espeak-ng
# pip install --upgrade "jax[cuda111]" -f https://storage.googleapis.com/jax-releases/jax_releases.html
# pip install --upgrade pip
# pip install .[sklearn,testing,sentencepiece,flax,flax-speech,vision]
#
# - name: Launcher docker
# uses: actions/checkout@v2
# with:
# fetch-depth: 2
#
# - name: NVIDIA-SMI
# continue-on-error: true
# run: |
# nvidia-smi
#
# - name: Are GPUs recognized by our DL frameworks
# run: |
# python -c "from jax.lib import xla_bridge; print('GPU available:', xla_bridge.get_backend().platform)"
# python -c "import jax; print('Number of GPUs available:', len(jax.local_devices()))"
#
# - name: Fetch the tests to run
# run: |
# python utils/tests_fetcher.py --diff_with_last_commit | tee test_preparation.txt
#
# - name: Report fetched tests
# uses: actions/upload-artifact@v2
# with:
# name: test_fetched
# path: test_preparation.txt
#
# - name: Run all non-slow tests on GPU
# run: |
# if [ -f test_list.txt ]; then
# python -m pytest -n 2 --dist=loadfile -v --make-reports=tests_flax_gpu $(cat test_list.txt)
# fi
#
# - name: Failure short reports
# if: ${{ failure() }}
# run: cat reports/tests_flax_gpu/failures_short.txt
#
# - name: Test suite reports artifacts
# if: ${{ always() }}
# uses: actions/upload-artifact@v2
# with:
# name: run_all_tests_flax_gpu_test_reports
# path: reports
#
# run_tests_tf_gpu:
# runs-on: [self-hosted, docker-gpu, single-gpu]
# timeout-minutes: 120
# container:
# image: tensorflow/tensorflow:2.4.1-gpu
# options: --gpus 0 --shm-size "16gb" --ipc host -v /mnt/cache/.cache/huggingface:/mnt/cache/
# steps:
# - name: Install dependencies
# run: |
# apt -y update && apt install -y software-properties-common && apt -y update && add-apt-repository -y ppa:git-core/ppa && apt -y update && apt install -y git espeak-ng
# pip install --upgrade pip
# pip install .[sklearn,testing,onnxruntime,sentencepiece,tf-speech]
# pip install https://github.com/kpu/kenlm/archive/master.zip
#
# - name: Launcher docker
# uses: actions/checkout@v2
# with:
# fetch-depth: 2
#
# - name: NVIDIA-SMI
# run: |
# nvidia-smi
#
# - name: Are GPUs recognized by our DL frameworks
# run: |
# TF_CPP_MIN_LOG_LEVEL=3 python -c "import tensorflow as tf; print('TF GPUs available:', bool(tf.config.list_physical_devices('GPU')))"
# TF_CPP_MIN_LOG_LEVEL=3 python -c "import tensorflow as tf; print('Number of TF GPUs available:', len(tf.config.list_physical_devices('GPU')))"
#
# - name: Fetch the tests to run
# run: |
# python utils/tests_fetcher.py --diff_with_last_commit | tee test_preparation.txt
#
# - name: Report fetched tests
# uses: actions/upload-artifact@v2
# with:
# name: test_fetched
# path: test_preparation.txt
#
# - name: Run all non-slow tests on GPU
# env:
# TF_NUM_INTRAOP_THREADS: 8
# TF_NUM_INTEROP_THREADS: 1
# run: |
# if [ -f test_list.txt ]; then
# python -m pytest -n 1 --dist=loadfile --make-reports=tests_tf_gpu $(cat test_list.txt)
# fi
#
# - name: Failure short reports
# if: ${{ failure() }}
# run: cat reports/tests_tf_gpu/failures_short.txt
#
# - name: Test suite reports artifacts
# if: ${{ always() }}
# uses: actions/upload-artifact@v2
# with:
# name: run_all_tests_tf_gpu_test_reports
# path: reports
run_tests_torch_multi_gpu:
runs-on: [self-hosted, docker-gpu, multi-gpu]
run_tests_multi_gpu:
name: Model Tests on multi GPUs
needs: setup
# `dummy` means there is no test to run
if: contains(fromJson(needs.setup.outputs.matrix), 'dummy') != true
strategy:
fail-fast: false
matrix:
folders: ${{ fromJson(needs.setup.outputs.matrix) }}
machines: [multi-gpu]
runs-on: [self-hosted, docker-gpu, '${{ matrix.machines }}']
container:
image: pytorch/pytorch:1.9.0-cuda11.1-cudnn8-runtime
image: huggingface/transformers-all-latest-gpu
options: --gpus all --shm-size "16gb" --ipc host -v /mnt/cache/.cache/huggingface:/mnt/cache/
steps:
- name: Install dependencies
run: |
apt -y update && apt install -y software-properties-common && apt -y update && add-apt-repository -y ppa:git-core/ppa && apt -y update && apt install -y git espeak-ng
apt install -y libsndfile1-dev espeak-ng
pip install --upgrade pip
pip install .[sklearn,testing,onnxruntime,sentencepiece,torch-speech,vision,timm]
pip install https://github.com/kpu/kenlm/archive/master.zip
- name: Launcher docker
uses: actions/checkout@v2
with:
fetch-depth: 2
- name: NVIDIA-SMI
continue-on-error: true
run: |
nvidia-smi
- name: Are GPUs recognized by our DL frameworks
working-directory: /transformers
run: |
utils/print_env_pt.py
TF_CPP_MIN_LOG_LEVEL=3 python3 -c "import tensorflow as tf; print('TF GPUs available:', bool(tf.config.list_physical_devices('GPU')))"
TF_CPP_MIN_LOG_LEVEL=3 python3 -c "import tensorflow as tf; print('Number of TF GPUs available:', len(tf.config.list_physical_devices('GPU')))"
- name: Fetch the tests to run
- name: Echo folder ${{ matrix.folders }}
shell: bash
# For folders like `models/bert`, set an env. var. (`matrix_folders`) to `models_bert`, which will be used to
# set the artifact folder names (because the character `/` is not allowed).
run: |
python utils/tests_fetcher.py --diff_with_last_commit | tee test_preparation.txt
echo "${{ matrix.folders }}"
echo "${{ fromJson(needs.setup.outputs.test_map)[matrix.folders] }}"
matrix_folders=${{ matrix.folders }}
matrix_folders=${matrix_folders/'models/'/'models_'}
echo "$matrix_folders"
echo "matrix_folders=$matrix_folders" >> $GITHUB_ENV
- name: Report fetched tests
uses: actions/upload-artifact@v2
with:
name: test_fetched
path: test_preparation.txt
- name: Update clone
working-directory: /transformers
run: git fetch && git checkout ${{ github.sha }}
- name: Run all non-slow tests on GPU
- name: Run all non-slow selected tests on GPU
env:
MKL_SERVICE_FORCE_INTEL: 1
working-directory: /transformers
run: |
if [ -f test_list.txt ]; then
python -m pytest -n 2 --dist=loadfile -v --make-reports=tests_torch_multi_gpu $(cat test_list.txt)
fi
python3 -m pytest -n 2 --dist=loadfile -v --make-reports=${{ matrix.machines }}_tests_gpu_${{ matrix.folders }} ${{ fromJson(needs.setup.outputs.test_map)[matrix.folders] }}
- name: Failure short reports
if: ${{ failure() }}
run: cat reports/tests_torch_multi_gpu/failures_short.txt
continue-on-error: true
run: cat /transformers/reports/${{ matrix.machines }}_tests_gpu_${{ matrix.folders }}/failures_short.txt
- name: Test suite reports artifacts
if: ${{ always() }}
uses: actions/upload-artifact@v2
with:
name: run_all_tests_torch_multi_gpu_test_reports
path: reports
name: ${{ matrix.machines }}_run_all_tests_gpu_${{ env.matrix_folders }}_test_reports
path: /transformers/reports/${{ matrix.machines }}_tests_gpu_${{ matrix.folders }}
# run_tests_flax_multi_gpu:
# runs-on: [self-hosted, docker-gpu, multi-gpu]
# container:
# image: tensorflow/tensorflow:2.4.1-gpu
# options: --gpus 0 --shm-size "16gb" --ipc host -v /mnt/cache/.cache/huggingface:/mnt/cache/
# steps:
# - name: Install dependencies
# run: |
# apt -y update && apt install -y software-properties-common && apt -y update && add-apt-repository -y ppa:git-core/ppa && apt -y update && apt install -y git espeak-ng
# pip install --upgrade "jax[cuda111]" -f https://storage.googleapis.com/jax-releases/jax_releases.html
# pip install --upgrade pip
# pip install .[sklearn,testing,sentencepiece,flax,flax-speech,vision]
# pip install https://github.com/kpu/kenlm/archive/master.zip
#
# - name: Launcher docker
# uses: actions/checkout@v2
# with:
# fetch-depth: 2
#
# - name: NVIDIA-SMI
# continue-on-error: true
# run: |
# nvidia-smi
#
# - name: Are GPUs recognized by our DL frameworks
# run: |
# python -c "from jax.lib import xla_bridge; print('GPU available:', xla_bridge.get_backend().platform)"
# python -c "import jax; print('Number of GPUs available:', len(jax.local_devices()))"
#
# - name: Fetch the tests to run
# run: |
# python utils/tests_fetcher.py --diff_with_last_commit | tee test_preparation.txt
#
# - name: Report fetched tests
# uses: actions/upload-artifact@v2
# with:
# name: test_fetched
# path: test_preparation.txt
#
# - name: Run all non-slow tests on GPU
# run: |
# if [ -f test_list.txt ]; then
# python -m pytest -n 2 --dist=loadfile -v --make-reports=tests_flax_multi_gpu $(cat test_list.txt)
# fi
#
# - name: Failure short reports
# if: ${{ failure() }}
# run: cat reports/tests_flax_multi_gpu/failures_short.txt
#
# - name: Test suite reports artifacts
# if: ${{ always() }}
# uses: actions/upload-artifact@v2
# with:
# name: run_all_tests_flax_multi_gpu_test_reports
# path: reports
# run_tests_tf_multi_gpu:
# runs-on: [self-hosted, docker-gpu, multi-gpu]
# timeout-minutes: 120
# container:
# image: tensorflow/tensorflow:2.4.1-gpu
# options: --gpus all --shm-size "16gb" --ipc host -v /mnt/cache/.cache/huggingface:/mnt/cache/
# steps:
# - name: Install dependencies
# run: |
# apt -y update && apt install -y software-properties-common && apt -y update && add-apt-repository -y ppa:git-core/ppa && apt -y update && apt install -y git espeak-ng
# pip install --upgrade pip
# pip install .[sklearn,testing,onnxruntime,sentencepiece,tf-speech]
# pip install https://github.com/kpu/kenlm/archive/master.zip
#
# - name: Launcher docker
# uses: actions/checkout@v2
# with:
# fetch-depth: 2
#
# - name: NVIDIA-SMI
# run: |
# nvidia-smi
#
# - name: Are GPUs recognized by our DL frameworks
# run: |
# TF_CPP_MIN_LOG_LEVEL=3 python -c "import tensorflow as tf; print('TF GPUs available:', bool(tf.config.list_physical_devices('GPU')))"
# TF_CPP_MIN_LOG_LEVEL=3 python -c "import tensorflow as tf; print('Number of TF GPUs available:', len(tf.config.list_physical_devices('GPU')))"
#
# - name: Fetch the tests to run
# run: |
# python utils/tests_fetcher.py --diff_with_last_commit | tee test_preparation.txt
#
# - name: Report fetched tests
# uses: actions/upload-artifact@v2
# with:
# name: test_fetched
# path: test_preparation.txt
#
# - name: Run all non-slow tests on GPU
# env:
# TF_NUM_INTRAOP_THREADS: 8
# TF_NUM_INTEROP_THREADS: 1
# run: |
# if [ -f test_list.txt ]; then
# python -m pytest -n 1 --dist=loadfile --make-reports=tests_tf_multi_gpu $(cat test_list.txt)
# fi
#
# - name: Failure short reports
# if: ${{ failure() }}
# run: cat reports/tests_tf_multi_gpu/failures_short.txt
#
# - name: Test suite reports artifacts
# if: ${{ always() }}
# uses: actions/upload-artifact@v2
# with:
# name: run_all_tests_tf_multi_gpu_test_reports
# path: reports
run_tests_torch_cuda_extensions_gpu:
runs-on: [self-hosted, docker-gpu, single-gpu]
run_tests_torch_cuda_extensions_single_gpu:
name: Torch CUDA extension tests on single GPU
needs: setup
if: contains(fromJson(needs.setup.outputs.matrix), 'deepspeed') || contains(fromJson(needs.setup.outputs.matrix), 'extended')
strategy:
fail-fast: false
matrix:
machines: [single-gpu]
runs-on: [self-hosted, docker-gpu, '${{ matrix.machines }}']
container:
image: nvcr.io/nvidia/pytorch:21.03-py3
options: --gpus 0 --shm-size "16gb" --ipc host -v /mnt/cache/.cache/huggingface:/mnt/cache/
steps:
- name: Launcher docker
- name: Checkout transformers
uses: actions/checkout@v2
with:
fetch-depth: 2
@@ -390,46 +224,42 @@ jobs:
run: |
utils/print_env_pt.py
- name: Fetch the tests to run
- name: Run all non-slow selected tests on GPU
# TODO: Here we pass all tests in the 2 folders for simplicity. It's better to pass only the identified tests.
run: |
python utils/tests_fetcher.py --diff_with_last_commit --filters tests/deepspeed tests/extended | tee test_preparation.txt
- name: Report fetched tests
uses: actions/upload-artifact@v2
with:
name: test_fetched
path: test_preparation.txt
- name: Run all tests on GPU
run: |
if [ -f test_list.txt ]; then
python -m pytest -n 1 --dist=loadfile -v --make-reports=tests_torch_cuda_extensions_gpu $(cat test_list.txt)
fi
python -m pytest -n 1 --dist=loadfile -v --make-reports=${{ matrix.machines }}_tests_torch_cuda_extensions_gpu tests/deepspeed tests/extended
- name: Failure short reports
if: ${{ failure() }}
run: cat reports/tests_torch_cuda_extensions_gpu/failures_short.txt
continue-on-error: true
run: cat reports/${{ matrix.machines }}_tests_torch_cuda_extensions_gpu/failures_short.txt
- name: Test suite reports artifacts
if: ${{ always() }}
uses: actions/upload-artifact@v2
with:
name: run_tests_torch_cuda_extensions_gpu_test_reports
path: reports
name: ${{ matrix.machines }}_run_tests_torch_cuda_extensions_gpu_test_reports
path: reports/${{ matrix.machines }}_tests_torch_cuda_extensions_gpu
run_tests_torch_cuda_extensions_multi_gpu:
runs-on: [self-hosted, docker-gpu, multi-gpu]
name: Torch CUDA extension tests on multi GPUs
needs: setup
if: contains(fromJson(needs.setup.outputs.matrix), 'deepspeed') || contains(fromJson(needs.setup.outputs.matrix), 'extended')
strategy:
fail-fast: false
matrix:
machines: [multi-gpu]
runs-on: [self-hosted, docker-gpu, '${{ matrix.machines }}']
container:
image: nvcr.io/nvidia/pytorch:21.03-py3
options: --gpus 0 --shm-size "16gb" --ipc host -v /mnt/cache/.cache/huggingface:/mnt/cache/
options: --gpus all --shm-size "16gb" --ipc host -v /mnt/cache/.cache/huggingface:/mnt/cache/
steps:
- name: Launcher docker
- name: Checkout transformers
uses: actions/checkout@v2
with:
fetch-depth: 2
- name: NVIDIA-SMI
continue-on-error: true
run: |
nvidia-smi
@@ -444,56 +274,46 @@ jobs:
run: |
utils/print_env_pt.py
- name: Fetch the tests to run
- name: Run all non-slow selected tests on GPU
# TODO: Here we pass all tests in the 2 folders for simplicity. It's better to pass only the identified tests.
run: |
python utils/tests_fetcher.py --diff_with_last_commit --filters tests/deepspeed tests/extended | tee test_preparation.txt
- name: Report fetched tests
uses: actions/upload-artifact@v2
with:
name: test_fetched
path: test_preparation.txt
- name: Run all tests on GPU
run: |
if [ -f test_list.txt ]; then
python -m pytest -n 1 --dist=loadfile -v --make-reports=tests_torch_cuda_extensions_multi_gpu $(cat test_list.txt)
fi
python -m pytest -n 1 --dist=loadfile -v --make-reports=${{ matrix.machines }}_tests_torch_cuda_extensions_gpu tests/deepspeed tests/extended
- name: Failure short reports
if: ${{ failure() }}
run: cat reports/tests_torch_cuda_extensions_multi_gpu/failures_short.txt
continue-on-error: true
run: cat reports/${{ matrix.machines }}_tests_torch_cuda_extensions_gpu/failures_short.txt
- name: Test suite reports artifacts
if: ${{ always() }}
uses: actions/upload-artifact@v2
with:
name: run_tests_torch_cuda_extensions_multi_gpu_test_reports
path: reports
name: ${{ matrix.machines }}_run_tests_torch_cuda_extensions_gpu_test_reports
path: reports/${{ matrix.machines }}_tests_torch_cuda_extensions_gpu
send_results:
name: Send results to webhook
runs-on: ubuntu-latest
if: always()
needs: [
run_tests_torch_gpu,
# run_tests_tf_gpu,
run_tests_torch_multi_gpu,
# run_tests_tf_multi_gpu,
run_tests_torch_cuda_extensions_gpu,
setup,
run_tests_single_gpu,
run_tests_multi_gpu,
run_tests_torch_cuda_extensions_single_gpu,
run_tests_torch_cuda_extensions_multi_gpu
]
steps:
- uses: actions/checkout@v2
- uses: actions/download-artifact@v2
- name: Send message to Slack
env:
CI_SLACK_BOT_TOKEN: ${{ secrets.CI_SLACK_BOT_TOKEN }}
CI_SLACK_CHANNEL_ID: ${{ secrets.CI_SLACK_CHANNEL_ID }}
CI_SLACK_CHANNEL_ID_DAILY: ${{ secrets.CI_SLACK_CHANNEL_ID_DAILY }}
CI_SLACK_CHANNEL_DUMMY_TESTS: ${{ secrets.CI_SLACK_CHANNEL_DUMMY_TESTS }}
CI_EVENT: push
# We pass `needs.setup.outputs.matrix` as the argument. A processing in `notification_service.py` to change
# `models/bert` to `models_bert` is required, as the artifact names use `_` instead of `/`.
run: |
pip install slack_sdk
python utils/notification_service_deprecated.py push
python utils/notification_service.py "${{ needs.setup.outputs.matrix }}"

88
.github/workflows/self-scheduled.yml vendored
View File

@@ -83,30 +83,38 @@ jobs:
run: |
echo "${{ matrix.folders }}"
matrix_folders=${{ matrix.folders }}
echo "$matrix_folders"
matrix_folders=${matrix_folders/'models/'/'models_'}
echo "$matrix_folders"
echo "matrix_folders=$matrix_folders" >> $GITHUB_ENV
# Set machine type, i.e. `single-gpu` or `multi-gpu`. Here we just remove `-docker`.
- name: Set machine type from ${{ matrix.machines }}
shell: bash
run: |
machine_type=${{ matrix.machines }}
machine_type=${machine_type/'-docker'/''}
echo "machine_type=$machine_type"
echo "machine_type=$machine_type" >> $GITHUB_ENV
- name: Update clone
working-directory: /transformers
run: git fetch && git checkout ${{ github.sha }}
- name: Run all tests on GPU
working-directory: /transformers
run: python3 -m pytest -v --make-reports=${{ matrix.machines }}_tests_gpu_${{ matrix.folders }} tests/${{ matrix.folders }}
run: python3 -m pytest -v --make-reports=${{ env.machine_type }}_tests_gpu_${{ matrix.folders }} tests/${{ matrix.folders }}
- name: Failure short reports
if: ${{ failure() }}
continue-on-error: true
run: cat /transformers/reports/${{ matrix.machines }}_tests_gpu_${{ matrix.folders }}/failures_short.txt
run: cat /transformers/reports/${{ env.machine_type }}_tests_gpu_${{ matrix.folders }}/failures_short.txt
- name: Test suite reports artifacts
if: ${{ always() }}
uses: actions/upload-artifact@v2
with:
name: ${{ matrix.machines }}_run_all_tests_gpu_${{ env.matrix_folders }}_test_reports
path: /transformers/reports/${{ matrix.machines }}_tests_gpu_${{ matrix.folders }}
name: ${{ env.machine_type }}_run_all_tests_gpu_${{ env.matrix_folders }}_test_reports
path: /transformers/reports/${{ env.machine_type }}_tests_gpu_${{ matrix.folders }}
run_tests_multi_gpu:
name: Model tests
@@ -128,30 +136,38 @@ jobs:
run: |
echo "${{ matrix.folders }}"
matrix_folders=${{ matrix.folders }}
echo "$matrix_folders"
matrix_folders=${matrix_folders/'models/'/'models_'}
echo "$matrix_folders"
echo "matrix_folders=$matrix_folders" >> $GITHUB_ENV
# Set machine type, i.e. `single-gpu` or `multi-gpu`. Here we just remove `-docker`.
- name: Set machine type from ${{ matrix.machines }}
shell: bash
run: |
machine_type=${{ matrix.machines }}
machine_type=${machine_type/'-docker'/''}
echo "machine_type=$machine_type"
echo "machine_type=$machine_type" >> $GITHUB_ENV
- name: Update clone
working-directory: /transformers
run: git fetch && git checkout ${{ github.sha }}
- name: Run all tests on GPU
working-directory: /transformers
run: python3 -m pytest -v --make-reports=${{ matrix.machines }}_tests_gpu_${{ matrix.folders }} tests/${{ matrix.folders }}
run: python3 -m pytest -v --make-reports=${{ env.machine_type }}_tests_gpu_${{ matrix.folders }} tests/${{ matrix.folders }}
- name: Failure short reports
if: ${{ failure() }}
continue-on-error: true
run: cat /transformers/reports/${{ matrix.machines }}_tests_gpu_${{ matrix.folders }}/failures_short.txt
run: cat /transformers/reports/${{ env.machine_type }}_tests_gpu_${{ matrix.folders }}/failures_short.txt
- name: Test suite reports artifacts
if: ${{ always() }}
uses: actions/upload-artifact@v2
with:
name: ${{ matrix.machines }}_run_all_tests_gpu_${{ env.matrix_folders }}_test_reports
path: /transformers/reports/${{ matrix.machines }}_tests_gpu_${{ matrix.folders }}
name: ${{ env.machine_type }}_run_all_tests_gpu_${{ env.matrix_folders }}_test_reports
path: /transformers/reports/${{ env.machine_type }}_tests_gpu_${{ matrix.folders }}
run_examples_gpu:
name: Examples directory
@@ -195,6 +211,15 @@ jobs:
options: --gpus 0 --shm-size "16gb" --ipc host -v /mnt/cache/.cache/huggingface:/mnt/cache/
needs: setup
steps:
# Set machine type, i.e. `single-gpu` or `multi-gpu`. Here we just remove `-docker`.
- name: Set machine type from ${{ matrix.machines }}
shell: bash
run: |
machine_type=${{ matrix.machines }}
machine_type=${machine_type/'-docker'/''}
echo "machine_type=$machine_type"
echo "machine_type=$machine_type" >> $GITHUB_ENV
- name: Update clone
working-directory: /transformers
run: git fetch && git checkout ${{ github.sha }}
@@ -204,19 +229,19 @@ jobs:
env:
RUN_PIPELINE_TESTS: yes
run: |
python3 -m pytest -n 1 -v --dist=loadfile -m is_pipeline_test --make-reports=${{ matrix.machines }}_tests_torch_pipeline_gpu tests
python3 -m pytest -n 1 -v --dist=loadfile -m is_pipeline_test --make-reports=${{ env.machine_type }}_tests_torch_pipeline_gpu tests
- name: Failure short reports
if: ${{ failure() }}
continue-on-error: true
run: cat /transformers/reports/${{ matrix.machines }}_tests_torch_pipeline_gpu/failures_short.txt
run: cat /transformers/reports/${{ env.machine_type }}_tests_torch_pipeline_gpu/failures_short.txt
- name: Test suite reports artifacts
if: ${{ always() }}
uses: actions/upload-artifact@v2
with:
name: ${{ matrix.machines }}_run_tests_torch_pipeline_gpu
path: /transformers/reports/${{ matrix.machines }}_tests_torch_pipeline_gpu
name: ${{ env.machine_type }}_run_tests_torch_pipeline_gpu
path: /transformers/reports/${{ env.machine_type }}_tests_torch_pipeline_gpu
run_pipelines_tf_gpu:
name: TensorFlow pipelines
@@ -230,6 +255,15 @@ jobs:
options: --gpus 0 --shm-size "16gb" --ipc host -v /mnt/cache/.cache/huggingface:/mnt/cache/
needs: setup
steps:
# Set machine type, i.e. `single-gpu` or `multi-gpu`. Here we just remove `-docker`.
- name: Set machine type from ${{ matrix.machines }}
shell: bash
run: |
machine_type=${{ matrix.machines }}
machine_type=${machine_type/'-docker'/''}
echo "machine_type=$machine_type"
echo "machine_type=$machine_type" >> $GITHUB_ENV
- name: Update clone
working-directory: /transformers
run: |
@@ -240,19 +274,19 @@ jobs:
env:
RUN_PIPELINE_TESTS: yes
run: |
python3 -m pytest -n 1 -v --dist=loadfile -m is_pipeline_test --make-reports=${{ matrix.machines }}_tests_tf_pipeline_gpu tests
python3 -m pytest -n 1 -v --dist=loadfile -m is_pipeline_test --make-reports=${{ env.machine_type }}_tests_tf_pipeline_gpu tests
- name: Failure short reports
if: ${{ always() }}
run: |
cat /transformers/reports/${{ matrix.machines }}_tests_tf_pipeline_gpu/failures_short.txt
cat /transformers/reports/${{ env.machine_type }}_tests_tf_pipeline_gpu/failures_short.txt
- name: Test suite reports artifacts
if: ${{ always() }}
uses: actions/upload-artifact@v2
with:
name: ${{ matrix.machines }}_run_tests_tf_pipeline_gpu
path: /transformers/reports/${{ matrix.machines }}_tests_tf_pipeline_gpu
name: ${{ env.machine_type }}_run_tests_tf_pipeline_gpu
path: /transformers/reports/${{ env.machine_type }}_tests_tf_pipeline_gpu
run_all_tests_torch_cuda_extensions_gpu:
name: Torch CUDA extension tests
@@ -266,6 +300,15 @@ jobs:
image: huggingface/transformers-pytorch-deepspeed-latest-gpu
options: --gpus all --shm-size "16gb" --ipc host -v /mnt/cache/.cache/huggingface:/mnt/cache/
steps:
# Set machine type, i.e. `single-gpu` or `multi-gpu`. Here we just remove `-docker`.
- name: Set machine type from ${{ matrix.machines }}
shell: bash
run: |
machine_type=${{ matrix.machines }}
machine_type=${machine_type/'-docker'/''}
echo "machine_type=$machine_type"
echo "machine_type=$machine_type" >> $GITHUB_ENV
- name: Update clone
working-directory: /workspace/transformers
run: git fetch && git checkout ${{ github.sha }}
@@ -281,19 +324,19 @@ jobs:
- name: Run all tests on GPU
working-directory: /workspace/transformers
run: |
python -m pytest -v --make-reports=${{ matrix.machines }}_tests_torch_cuda_extensions_gpu tests/deepspeed tests/extended
python -m pytest -v --make-reports=${{ env.machine_type }}_tests_torch_cuda_extensions_gpu tests/deepspeed tests/extended
- name: Failure short reports
if: ${{ failure() }}
continue-on-error: true
run: cat /workspace/transformers/reports/${{ matrix.machines }}_tests_torch_cuda_extensions_gpu/failures_short.txt
run: cat /workspace/transformers/reports/${{ env.machine_type }}_tests_torch_cuda_extensions_gpu/failures_short.txt
- name: Test suite reports artifacts
if: ${{ always() }}
uses: actions/upload-artifact@v2
with:
name: ${{ matrix.machines }}_run_tests_torch_cuda_extensions_gpu_test_reports
path: /workspace/transformers/reports/${{ matrix.machines }}_tests_torch_cuda_extensions_gpu
name: ${{ env.machine_type }}_run_tests_torch_cuda_extensions_gpu_test_reports
path: /workspace/transformers/reports/${{ env.machine_type }}_tests_torch_cuda_extensions_gpu
send_results:
@@ -310,6 +353,7 @@ jobs:
CI_SLACK_CHANNEL_ID: ${{ secrets.CI_SLACK_CHANNEL_ID }}
CI_SLACK_CHANNEL_ID_DAILY: ${{ secrets.CI_SLACK_CHANNEL_ID_DAILY }}
CI_SLACK_CHANNEL_DUMMY_TESTS: ${{ secrets.CI_SLACK_CHANNEL_DUMMY_TESTS }}
CI_EVENT: scheduled
# We pass `needs.setup.outputs.matrix` as the argument. A processing in `notification_service.py` to change
# `models/bert` to `models_bert` is required, as the artifact names use `_` instead of `/`.
run: |