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(Re-)Enable Nightly + Past CI (#22393) 

* Enable Nightly + Past CI

* put schedule

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
This commit is contained in:
Yih-Dar 2023-03-30 21:06:35 +02:00 committed by GitHub
parent d5de578c22
commit 0fe6c6bdca
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GPG Key ID: 4AEE18F83AFDEB23
13 changed files with 446 additions and 349 deletions
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59
.github/workflows/build-docker-images.yml vendored
View File

@ -3,7 +3,7 @@ name: Build docker images (scheduled)
on:
push:
branches:
- docker-image*
- build_ci_docker_image*
repository_dispatch:
workflow_call:
inputs:
@ -67,35 +67,6 @@ jobs:
push: true
tags: huggingface/transformers-all-latest-gpu-push-ci
latest-with-torch-nightly-docker:
name: "Nightly PyTorch + Stable TensorFlow"
# Push CI doesn't need this image
if: inputs.image_postfix != '-push-ci'
runs-on: ubuntu-latest
steps:
-
name: Set up Docker Buildx
uses: docker/setup-buildx-action@v2
-
name: Check out code
uses: actions/checkout@v3
-
name: Login to DockerHub
uses: docker/login-action@v2
with:
username: ${{ secrets.DOCKERHUB_USERNAME }}
password: ${{ secrets.DOCKERHUB_PASSWORD }}
-
name: Build and push
uses: docker/build-push-action@v3
with:
context: ./docker/transformers-all-latest-gpu
build-args: |
REF=main
PYTORCH=pre
push: true
tags: huggingface/transformers-all-latest-torch-nightly-gpu
latest-torch-deepspeed-docker:
name: "Latest PyTorch + DeepSpeed"
runs-on: ubuntu-latest
@ -153,34 +124,6 @@ jobs:
push: true
tags: huggingface/transformers-pytorch-deepspeed-latest-gpu-push-ci
nightly-torch-deepspeed-docker:
name: "Nightly PyTorch + DeepSpeed"
# Push CI doesn't need this image
if: inputs.image_postfix != '-push-ci'
runs-on: ubuntu-latest
steps:
-
name: Set up Docker Buildx
uses: docker/setup-buildx-action@v2
-
name: Check out code
uses: actions/checkout@v3
-
name: Login to DockerHub
uses: docker/login-action@v2
with:
username: ${{ secrets.DOCKERHUB_USERNAME }}
password: ${{ secrets.DOCKERHUB_PASSWORD }}
-
name: Build and push
uses: docker/build-push-action@v3
with:
context: ./docker/transformers-pytorch-deepspeed-nightly-gpu
build-args: |
REF=main
push: true
tags: huggingface/transformers-pytorch-deepspeed-nightly-gpu
doc-builder:
name: "Doc builder"
# Push CI doesn't need this image

75
.github/workflows/build-nightly-ci-docker-images.yml vendored Normal file
View File

@ -0,0 +1,75 @@
name: Build docker images (Nightly CI)
on:
workflow_call:
push:
branches:
- build_nightly_ci_docker_image*
concurrency:
group: docker-images-builds
cancel-in-progress: false
jobs:
latest-with-torch-nightly-docker:
name: "Nightly PyTorch + Stable TensorFlow"
runs-on: ubuntu-latest
steps:
- name: Cleanup disk
run: |
sudo ls -l /usr/local/lib/
sudo ls -l /usr/share/
sudo du -sh /usr/local/lib/
sudo du -sh /usr/share/
sudo rm -rf /usr/local/lib/android
sudo rm -rf /usr/share/dotnet
sudo du -sh /usr/local/lib/
sudo du -sh /usr/share/
-
name: Set up Docker Buildx
uses: docker/setup-buildx-action@v2
-
name: Check out code
uses: actions/checkout@v3
-
name: Login to DockerHub
uses: docker/login-action@v2
with:
username: ${{ secrets.DOCKERHUB_USERNAME }}
password: ${{ secrets.DOCKERHUB_PASSWORD }}
-
name: Build and push
uses: docker/build-push-action@v3
with:
context: ./docker/transformers-all-latest-gpu
build-args: |
REF=main
PYTORCH=pre
push: true
tags: huggingface/transformers-all-latest-torch-nightly-gpu
nightly-torch-deepspeed-docker:
name: "Nightly PyTorch + DeepSpeed"
runs-on: ubuntu-latest
steps:
-
name: Set up Docker Buildx
uses: docker/setup-buildx-action@v2
-
name: Check out code
uses: actions/checkout@v3
-
name: Login to DockerHub
uses: docker/login-action@v2
with:
username: ${{ secrets.DOCKERHUB_USERNAME }}
password: ${{ secrets.DOCKERHUB_PASSWORD }}
-
name: Build and push
uses: docker/build-push-action@v3
with:
context: ./docker/transformers-pytorch-deepspeed-nightly-gpu
build-args: |
REF=main
push: true
tags: huggingface/transformers-pytorch-deepspeed-nightly-gpu

63
.github/workflows/build-past-ci-docker-images.yml vendored
View File

@ -3,7 +3,7 @@ name: Build docker images (Past CI)
on:
push:
branches:
- past-ci-docker-image*
- build_past_ci_docker_image*
concurrency:
group: docker-images-builds
@ -15,7 +15,7 @@ jobs:
strategy:
fail-fast: false
matrix:
version: ["1.11", "1.10", "1.9", "1.8", "1.7", "1.6", "1.5", "1.4"]
version: ["1.13", "1.12", "1.11", "1.10", "1.9"]
runs-on: ubuntu-latest
steps:
-
@ -24,6 +24,17 @@ jobs:
-
name: Check out code
uses: actions/checkout@v3
-
id: get-base-image
name: Get Base Image
env:
framework_version: ${{ matrix.version }}
run: |
echo "base_image=$(python3 -c 'import os; from utils.past_ci_versions import past_versions_testing; base_image = past_versions_testing["pytorch"][os.environ["framework_version"]]["base_image"]; print(base_image)')" >> $GITHUB_OUTPUT
-
name: Print Base Image
run: |
echo ${{ steps.get-base-image.outputs.base_image }}
-
name: Login to DockerHub
uses: docker/login-action@v2
@ -37,6 +48,7 @@ jobs:
context: ./docker/transformers-past-gpu
build-args: |
REF=main
BASE_DOCKER_IMAGE=${{ steps.get-base-image.outputs.base_image }}
FRAMEWORK=pytorch
VERSION=${{ matrix.version }}
push: true
@ -47,7 +59,7 @@ jobs:
strategy:
fail-fast: false
matrix:
version: ["2.8", "2.7", "2.6", "2.5"]
version: ["2.11", "2.10", "2.9", "2.8", "2.7", "2.6", "2.5"]
runs-on: ubuntu-latest
steps:
-
@ -56,6 +68,17 @@ jobs:
-
name: Check out code
uses: actions/checkout@v3
-
id: get-base-image
name: Get Base Image
env:
framework_version: ${{ matrix.version }}
run: |
echo "base_image=$(python3 -c 'import os; from utils.past_ci_versions import past_versions_testing; base_image = past_versions_testing["tensorflow"][os.environ["framework_version"]]["base_image"]; print(base_image)')" >> $GITHUB_OUTPUT
-
name: Print Base Image
run: |
echo ${{ steps.get-base-image.outputs.base_image }}
-
name: Login to DockerHub
uses: docker/login-action@v2
@ -69,40 +92,8 @@ jobs:
context: ./docker/transformers-past-gpu
build-args: |
REF=main
BASE_DOCKER_IMAGE=${{ steps.get-base-image.outputs.base_image }}
FRAMEWORK=tensorflow
VERSION=${{ matrix.version }}
push: true
tags: huggingface/transformers-tensorflow-past-${{ matrix.version }}-gpu
past-tensorflow-docker-2-4:
name: "Past TensorFlow Docker"
strategy:
fail-fast: false
matrix:
version: ["2.4"]
runs-on: ubuntu-latest
steps:
-
name: Set up Docker Buildx
uses: docker/setup-buildx-action@v2
-
name: Check out code
uses: actions/checkout@v3
-
name: Login to DockerHub
uses: docker/login-action@v2
with:
username: ${{ secrets.DOCKERHUB_USERNAME }}
password: ${{ secrets.DOCKERHUB_PASSWORD }}
-
name: Build and push
uses: docker/build-push-action@v3
with:
context: ./docker/transformers-past-gpu
build-args: |
REF=main
BASE_DOCKER_IMAGE=nvidia/cuda:11.0.3-cudnn8-devel-ubuntu20.04
FRAMEWORK=tensorflow
VERSION=${{ matrix.version }}
push: true
tags: huggingface/transformers-tensorflow-past-${{ matrix.version }}-gpu

143
.github/workflows/self-nightly-past-ci-caller.yml vendored Normal file
View File

@ -0,0 +1,143 @@
name: Self-hosted runner (nightly-past-ci-caller)
on:
schedule:
# 2 am on each Sunday and Thursday
- cron: "0 2 * * 0,4"
push:
branches:
- run_nightly_ci*
- run_past_ci*
jobs:
build_nightly_ci_images:
name: Build Nightly CI Docker Images
if: (github.event_name == 'schedule') || ((github.event_name == 'push') && startsWith(github.ref_name, 'run_nightly_ci'))
uses: ./.github/workflows/build-nightly-ci-docker-images.yml
secrets: inherit
run_nightly_ci:
name: Nightly CI
needs: [build_nightly_ci_images]
uses: ./.github/workflows/self-nightly-scheduled.yml
secrets: inherit
run_past_ci_pytorch_1-13:
name: PyTorch 1.13
if: (cancelled() != true) && ((github.event_name == 'schedule') || ((github.event_name == 'push') && startsWith(github.ref_name, 'run_past_ci')))
needs: [run_nightly_ci]
uses: ./.github/workflows/self-past.yml
with:
framework: pytorch
version: "1.13"
secrets: inherit
run_past_ci_pytorch_1-12:
name: PyTorch 1.12
if: (cancelled() != true) && ((github.event_name == 'schedule') || ((github.event_name == 'push') && startsWith(github.ref_name, 'run_past_ci')))
needs: [run_past_ci_pytorch_1-13]
uses: ./.github/workflows/self-past.yml
with:
framework: pytorch
version: "1.12"
secrets: inherit
run_past_ci_pytorch_1-11:
name: PyTorch 1.11
if: (cancelled() != true) && ((github.event_name == 'schedule') || ((github.event_name == 'push') && startsWith(github.ref_name, 'run_past_ci')))
needs: [run_past_ci_pytorch_1-12]
uses: ./.github/workflows/self-past.yml
with:
framework: pytorch
version: "1.11"
secrets: inherit
run_past_ci_pytorch_1-10:
name: PyTorch 1.10
if: (cancelled() != true) && ((github.event_name == 'schedule') || ((github.event_name == 'push') && startsWith(github.ref_name, 'run_past_ci')))
needs: [run_past_ci_pytorch_1-11]
uses: ./.github/workflows/self-past.yml
with:
framework: pytorch
version: "1.10"
secrets: inherit
run_past_ci_pytorch_1-9:
name: PyTorch 1.9
if: (cancelled() != true) && ((github.event_name == 'schedule') || ((github.event_name == 'push') && startsWith(github.ref_name, 'run_past_ci')))
needs: [run_past_ci_pytorch_1-10]
uses: ./.github/workflows/self-past.yml
with:
framework: pytorch
version: "1.9"
secrets: inherit
run_past_ci_tensorflow_2-11:
name: TensorFlow 2.11
if: (cancelled() != true) && ((github.event_name == 'push') && startsWith(github.ref_name, 'run_past_ci'))
needs: [run_past_ci_pytorch_1-9]
uses: ./.github/workflows/self-past.yml
with:
framework: tensorflow
version: "2.11"
secrets: inherit
run_past_ci_tensorflow_2-10:
name: TensorFlow 2.10
if: (cancelled() != true) && ((github.event_name == 'push') && startsWith(github.ref_name, 'run_past_ci'))
needs: [run_past_ci_tensorflow_2-11]
uses: ./.github/workflows/self-past.yml
with:
framework: tensorflow
version: "2.10"
secrets: inherit
run_past_ci_tensorflow_2-9:
name: TensorFlow 2.9
if: (cancelled() != true) && ((github.event_name == 'push') && startsWith(github.ref_name, 'run_past_ci'))
needs: [run_past_ci_tensorflow_2-10]
uses: ./.github/workflows/self-past.yml
with:
framework: tensorflow
version: "2.9"
secrets: inherit
run_past_ci_tensorflow_2-8:
name: TensorFlow 2.8
if: (cancelled() != true) && ((github.event_name == 'push') && startsWith(github.ref_name, 'run_past_ci'))
needs: [run_past_ci_tensorflow_2-9]
uses: ./.github/workflows/self-past.yml
with:
framework: tensorflow
version: "2.8"
secrets: inherit
run_past_ci_tensorflow_2-7:
name: TensorFlow 2.7
if: (cancelled() != true) && ((github.event_name == 'push') && startsWith(github.ref_name, 'run_past_ci'))
needs: [run_past_ci_tensorflow_2-8]
uses: ./.github/workflows/self-past.yml
with:
framework: tensorflow
version: "2.7"
secrets: inherit
run_past_ci_tensorflow_2-6:
name: TensorFlow 2.6
if: (cancelled() != true) && ((github.event_name == 'push') && startsWith(github.ref_name, 'run_past_ci'))
needs: [run_past_ci_tensorflow_2-7]
uses: ./.github/workflows/self-past.yml
with:
framework: tensorflow
version: "2.6"
secrets: inherit
run_past_ci_tensorflow_2-5:
name: TensorFlow 2.5
if: (cancelled() != true) && ((github.event_name == 'push') && startsWith(github.ref_name, 'run_past_ci'))
needs: [run_past_ci_tensorflow_2-6]
uses: ./.github/workflows/self-past.yml
with:
framework: tensorflow
version: "2.5"
secrets: inherit

34
.github/workflows/self-nightly-scheduled.yml vendored
View File

@ -1,4 +1,4 @@
name: Self-hosted runner (nightly)
name: Self-hosted runner (nightly-ci)
# Note that each job's dependencies go into a corresponding docker file.
#
@ -8,9 +8,7 @@ name: Self-hosted runner (nightly)
on:
repository_dispatch:
# Disable temporarily until the test suite can be run under 12 hours.
# schedule:
# - cron: "0 16 * * *"
workflow_call:
env:
HF_HOME: /mnt/cache
@ -33,7 +31,7 @@ jobs:
fetch-depth: 2
- name: Check Runner Status
run: python utils/check_self_hosted_runner.py --target_runners single-gpu-scheduled-ci-runner-docker,multi-gpu-scheduled-ci-runner-docker --token ${{ secrets.ACCESS_REPO_INFO_TOKEN }}
run: python utils/check_self_hosted_runner.py --target_runners single-gpu-past-ci-runner-docker,multi-gpu-past-ci-runner-docker --token ${{ secrets.ACCESS_REPO_INFO_TOKEN }}
check_runners:
name: Check Runners
@ -41,7 +39,7 @@ jobs:
strategy:
matrix:
machine_type: [single-gpu, multi-gpu]
runs-on: ${{ format('{0}-{1}', matrix.machine_type, 'docker') }}
runs-on: ${{ format('{0}-{1}', matrix.machine_type, 'docker-past-ci') }}
container:
image: huggingface/transformers-all-latest-torch-nightly-gpu
options: --gpus 0 --shm-size "16gb" --ipc host -v /mnt/cache/.cache/huggingface:/mnt/cache/
@ -56,7 +54,7 @@ jobs:
strategy:
matrix:
machine_type: [single-gpu, multi-gpu]
runs-on: ${{ format('{0}-{1}', matrix.machine_type, 'docker') }}
runs-on: ${{ format('{0}-{1}', matrix.machine_type, 'docker-past-ci') }}
container:
image: huggingface/transformers-all-latest-torch-nightly-gpu
options: --gpus 0 --shm-size "16gb" --ipc host -v /mnt/cache/.cache/huggingface:/mnt/cache/
@ -96,7 +94,7 @@ jobs:
matrix:
folders: ${{ fromJson(needs.setup.outputs.matrix) }}
machine_type: [single-gpu]
runs-on: ${{ format('{0}-{1}', matrix.machine_type, 'docker') }}
runs-on: ${{ format('{0}-{1}', matrix.machine_type, 'docker-past-ci') }}
container:
image: huggingface/transformers-all-latest-torch-nightly-gpu
options: --gpus 0 --shm-size "16gb" --ipc host -v /mnt/cache/.cache/huggingface:/mnt/cache/
@ -143,7 +141,7 @@ jobs:
if: ${{ always() }}
uses: actions/upload-artifact@v3
with:
name: ${{ matrix.machine_type }}_run_all_tests_gpu_${{ env.matrix_folders }}_test_reports
name: ${{ matrix.machine_type }}_run_all_tests_gpu_${{ env.matrix_folders }}_test_reports_postfix_nightly
path: /transformers/reports/${{ matrix.machine_type }}_tests_gpu_${{ matrix.folders }}
run_tests_multi_gpu:
@ -153,7 +151,7 @@ jobs:
matrix:
folders: ${{ fromJson(needs.setup.outputs.matrix) }}
machine_type: [multi-gpu]
runs-on: ${{ format('{0}-{1}', matrix.machine_type, 'docker') }}
runs-on: ${{ format('{0}-{1}', matrix.machine_type, 'docker-past-ci') }}
container:
image: huggingface/transformers-all-latest-torch-nightly-gpu
options: --gpus all --shm-size "16gb" --ipc host -v /mnt/cache/.cache/huggingface:/mnt/cache/
@ -200,7 +198,7 @@ jobs:
if: ${{ always() }}
uses: actions/upload-artifact@v3
with:
name: ${{ matrix.machine_type }}_run_all_tests_gpu_${{ env.matrix_folders }}_test_reports
name: ${{ matrix.machine_type }}_run_all_tests_gpu_${{ env.matrix_folders }}_test_reports_postfix_nightly
path: /transformers/reports/${{ matrix.machine_type }}_tests_gpu_${{ matrix.folders }}
run_all_tests_torch_cuda_extensions_gpu:
@ -209,7 +207,7 @@ jobs:
fail-fast: false
matrix:
machine_type: [single-gpu, multi-gpu]
runs-on: ${{ format('{0}-{1}', matrix.machine_type, 'docker') }}
runs-on: ${{ format('{0}-{1}', matrix.machine_type, 'docker-past-ci') }}
needs: setup
container:
image: huggingface/transformers-pytorch-deepspeed-nightly-gpu
@ -258,7 +256,7 @@ jobs:
if: ${{ always() }}
uses: actions/upload-artifact@v3
with:
name: ${{ matrix.machine_type }}_run_tests_torch_cuda_extensions_gpu_test_reports
name: ${{ matrix.machine_type }}_run_tests_torch_cuda_extensions_gpu_test_reports_postfix_nightly
path: /workspace/transformers/reports/${{ matrix.machine_type }}_tests_torch_cuda_extensions_gpu
send_results:
@ -292,7 +290,7 @@ jobs:
CI_SLACK_CHANNEL_DUMMY_TESTS: ${{ secrets.CI_SLACK_CHANNEL_DUMMY_TESTS }}
CI_SLACK_REPORT_CHANNEL_ID: ${{ secrets.CI_SLACK_CHANNEL_ID_PAST_FUTURE }}
ACCESS_REPO_INFO_TOKEN: ${{ secrets.ACCESS_REPO_INFO_TOKEN }}
CI_EVENT: nightly-build
CI_EVENT: Nightly CI
RUNNER_STATUS: ${{ needs.check_runner_status.result }}
RUNNER_ENV_STATUS: ${{ needs.check_runners.result }}
SETUP_STATUS: ${{ needs.setup.result }}
@ -302,3 +300,11 @@ jobs:
pip install slack_sdk
pip show slack_sdk
python utils/notification_service.py "${{ needs.setup.outputs.matrix }}"
# delete-artifact
- uses: geekyeggo/delete-artifact@v2
with:
name: |
single-*
multi-*

136
.github/workflows/self-past-caller.yml vendored
View File

@ -1,136 +0,0 @@
name: Self-hosted runner (past-ci-caller)
on:
push:
branches:
- run-past-ci*
jobs:
run_past_ci_pytorch_1-11:
name: PyTorch 1.11
if: always()
uses: ./.github/workflows/self-past.yml
with:
framework: pytorch
version: "1.11"
secrets: inherit
run_past_ci_pytorch_1-10:
name: PyTorch 1.10
if: always()
needs: [run_past_ci_pytorch_1-11]
uses: ./.github/workflows/self-past.yml
with:
framework: pytorch
version: "1.10"
secrets: inherit
run_past_ci_pytorch_1-9:
name: PyTorch 1.9
if: always()
needs: [run_past_ci_pytorch_1-10]
uses: ./.github/workflows/self-past.yml
with:
framework: pytorch
version: "1.9"
secrets: inherit
run_past_ci_pytorch_1-8:
name: PyTorch 1.8
if: always()
needs: [run_past_ci_pytorch_1-9]
uses: ./.github/workflows/self-past.yml
with:
framework: pytorch
version: "1.8"
secrets: inherit
run_past_ci_pytorch_1-7:
name: PyTorch 1.7
if: always()
needs: [run_past_ci_pytorch_1-8]
uses: ./.github/workflows/self-past.yml
with:
framework: pytorch
version: "1.7"
secrets: inherit
run_past_ci_pytorch_1-6:
name: PyTorch 1.6
if: always()
needs: [run_past_ci_pytorch_1-7]
uses: ./.github/workflows/self-past.yml
with:
framework: pytorch
version: "1.6"
secrets: inherit
run_past_ci_pytorch_1-5:
name: PyTorch 1.5
if: always()
needs: [run_past_ci_pytorch_1-6]
uses: ./.github/workflows/self-past.yml
with:
framework: pytorch
version: "1.5"
secrets: inherit
run_past_ci_pytorch_1-4:
name: PyTorch 1.4
if: always()
needs: [run_past_ci_pytorch_1-5]
uses: ./.github/workflows/self-past.yml
with:
framework: pytorch
version: "1.4"
secrets: inherit
run_past_ci_tensorflow_2-8:
name: TensorFlow 2.8
if: always()
needs: [run_past_ci_pytorch_1-4]
uses: ./.github/workflows/self-past.yml
with:
framework: tensorflow
version: "2.8"
secrets: inherit
run_past_ci_tensorflow_2-7:
name: TensorFlow 2.7
if: always()
needs: [run_past_ci_tensorflow_2-8]
uses: ./.github/workflows/self-past.yml
with:
framework: tensorflow
version: "2.7"
secrets: inherit
run_past_ci_tensorflow_2-6:
name: TensorFlow 2.6
if: always()
needs: [run_past_ci_tensorflow_2-7]
uses: ./.github/workflows/self-past.yml
with:
framework: tensorflow
version: "2.6"
secrets: inherit
run_past_ci_tensorflow_2-5:
name: TensorFlow 2.5
if: always()
needs: [run_past_ci_tensorflow_2-6]
uses: ./.github/workflows/self-past.yml
with:
framework: tensorflow
version: "2.5"
secrets: inherit
run_past_ci_tensorflow_2-4:
name: TensorFlow 2.4
if: always()
needs: [run_past_ci_tensorflow_2-5]
uses: ./.github/workflows/self-past.yml
with:
framework: tensorflow
version: "2.4"
secrets: inherit

83
.github/workflows/self-past.yml vendored
View File

@ -1,4 +1,4 @@
name: Self-hosted runner (past)
name: Self-hosted runner (past-ci)
# Note that each job's dependencies go into a corresponding docker file.
#
@ -157,7 +157,7 @@ jobs:
if: ${{ always() }}
uses: actions/upload-artifact@v3
with:
name: ${{ matrix.machine_type }}_run_all_tests_gpu_${{ env.matrix_folders }}_test_reports
name: ${{ matrix.machine_type }}_run_all_tests_gpu_${{ env.matrix_folders }}_test_reports_postfix_${{ inputs.framework }}-${{ inputs.version }}
path: /transformers/reports/${{ matrix.machine_type }}_tests_gpu_${{ matrix.folders }}
run_tests_multi_gpu:
@ -223,14 +223,80 @@ jobs:
if: ${{ always() }}
uses: actions/upload-artifact@v3
with:
name: ${{ matrix.machine_type }}_run_all_tests_gpu_${{ env.matrix_folders }}_test_reports
name: ${{ matrix.machine_type }}_run_all_tests_gpu_${{ env.matrix_folders }}_test_reports_postfix_${{ inputs.framework }}-${{ inputs.version }}
path: /transformers/reports/${{ matrix.machine_type }}_tests_gpu_${{ matrix.folders }}
run_all_tests_torch_cuda_extensions_gpu:
name: Torch CUDA extension tests
if: inputs.framework == 'pytorch'
strategy:
fail-fast: false
matrix:
machine_type: [single-gpu, multi-gpu]
runs-on: ${{ format('{0}-{1}', matrix.machine_type, 'docker-past-ci') }}
needs: setup
container:
image: huggingface/transformers-${{ inputs.framework }}-past-${{ inputs.version }}-gpu
options: --gpus all --shm-size "16gb" --ipc host -v /mnt/cache/.cache/huggingface:/mnt/cache/
steps:
- name: Update clone
working-directory: /transformers
run: git fetch && git checkout ${{ github.sha }}
- name: Remove cached torch extensions
run: rm -rf /github/home/.cache/torch_extensions/
# To avoid unknown test failures
- name: Pre build DeepSpeed *again*
working-directory: /
run: |
python3 -m pip uninstall -y deepspeed
rm -rf DeepSpeed
git clone https://github.com/microsoft/DeepSpeed && cd DeepSpeed && rm -rf build
DS_BUILD_CPU_ADAM=1 DS_BUILD_FUSED_ADAM=1 DS_BUILD_AIO=1 DS_BUILD_UTILS=1 python3 -m pip install . --global-option="build_ext" --global-option="-j8" --no-cache -v --disable-pip-version-check
- name: NVIDIA-SMI
run: |
nvidia-smi
- name: Environment
working-directory: /transformers
run: |
python3 utils/print_env.py
- name: Show installed libraries and their versions
working-directory: /transformers
run: pip freeze
- name: Run all tests on GPU
working-directory: /transformers
run: |
python3 -m pytest -v --make-reports=${{ matrix.machine_type }}_tests_torch_cuda_extensions_gpu tests/deepspeed tests/extended
- name: Failure short reports
if: ${{ failure() }}
continue-on-error: true
run: cat /transformers/reports/${{ matrix.machine_type }}_tests_torch_cuda_extensions_gpu/failures_short.txt
- name: Test suite reports artifacts
if: ${{ always() }}
uses: actions/upload-artifact@v3
with:
name: ${{ matrix.machine_type }}_run_tests_torch_cuda_extensions_gpu_test_reports_postfix_${{ inputs.framework }}-${{ inputs.version }}
path: /transformers/reports/${{ matrix.machine_type }}_tests_torch_cuda_extensions_gpu
send_results:
name: Send results to webhook
runs-on: ubuntu-latest
if: always()
needs: [check_runner_status, check_runners, setup, run_tests_single_gpu, run_tests_multi_gpu]
needs: [
check_runner_status,
check_runners,
setup,
run_tests_single_gpu,
run_tests_multi_gpu,
run_all_tests_torch_cuda_extensions_gpu
]
steps:
- name: Preliminary job status
shell: bash
@ -272,4 +338,11 @@ jobs:
uses: actions/upload-artifact@v3
with:
name: test_failure_tables_${{ inputs.framework }}-${{ inputs.version }}
path: test_failure_tables
path: test_failure_tables
# delete-artifact
- uses: geekyeggo/delete-artifact@v2
with:
name: |
single-*
multi-*

3
.github/workflows/self-scheduled.yml vendored
View File

@ -10,6 +10,9 @@ on:
repository_dispatch:
schedule:
- cron: "0 2 * * *"
push:
branches:
- run_scheduled_ci*
env:
HF_HOME: /mnt/cache

23
docker/transformers-past-gpu/Dockerfile
View File

@ -1,4 +1,4 @@
ARG BASE_DOCKER_IMAGE="nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04"
ARG BASE_DOCKER_IMAGE
FROM $BASE_DOCKER_IMAGE
LABEL maintainer="Hugging Face"
@ -8,7 +8,7 @@ ARG DEBIAN_FRONTEND=noninteractive
SHELL ["sh", "-lc"]
RUN apt update
RUN apt install -y git libsndfile1-dev tesseract-ocr espeak-ng python3 python3-pip ffmpeg git-lfs
RUN apt install -y git libsndfile1-dev tesseract-ocr espeak-ng python3 python3-pip ffmpeg git-lfs libaio-dev
RUN git lfs install
RUN python3 -m pip install --no-cache-dir --upgrade pip
@ -23,6 +23,9 @@ RUN cd transformers && python3 setup.py develop
ARG FRAMEWORK
ARG VERSION
# Control `setuptools` version to avoid some issues
RUN [ "$VERSION" != "1.9" -a "$VERSION" != "1.10" ] && python3 -m pip install -U setuptools || python3 -m pip install -U "setuptools<=59.5"
# Remove all frameworks
# (`accelerate` requires `torch`, and this causes import issues for TF-only testing)
RUN python3 -m pip uninstall -y torch torchvision torchaudio accelerate tensorflow jax flax
@ -34,4 +37,20 @@ RUN python3 ./transformers/utils/past_ci_versions.py --framework $FRAMEWORK --ve
RUN echo "INSTALL_CMD = $INSTALL_CMD"
RUN $INSTALL_CMD
RUN [ "$FRAMEWORK" != "pytorch" ] && echo "`deepspeed-testing` installation is skipped" || python3 -m pip install --no-cache-dir ./transformers[deepspeed-testing]
# Uninstall `torch-tensorrt` and `apex` shipped with the base image
RUN python3 -m pip uninstall -y torch-tensorrt apex
# Pre-build **nightly** release of DeepSpeed, so it would be ready for testing (otherwise, the 1st deepspeed test will timeout)
RUN python3 -m pip uninstall -y deepspeed
# This has to be run inside the GPU VMs running the tests. (So far, it fails here due to GPU checks during compilation.)
# Issue: https://github.com/microsoft/DeepSpeed/issues/2010
# RUN git clone https://github.com/microsoft/DeepSpeed && cd DeepSpeed && rm -rf build && \
# DS_BUILD_CPU_ADAM=1 DS_BUILD_FUSED_ADAM=1 DS_BUILD_AIO=1 DS_BUILD_UTILS=1 python3 -m pip install . --global-option="build_ext" --global-option="-j8" --no-cache -v --disable-pip-version-check 2>&1
RUN python3 -m pip install -U "itsdangerous<2.1.0"
# When installing in editable mode, `transformers` is not recognized as a package.
# this line must be added in order for python to be aware of transformers.
RUN cd transformers && python3 setup.py develop

42
docker/transformers-pytorch-deepspeed-nightly-gpu/Dockerfile
View File

@ -1,10 +1,11 @@
FROM nvcr.io/nvidia/pytorch:21.03-py3
# https://docs.nvidia.com/deeplearning/frameworks/pytorch-release-notes/rel_22-08.html#rel_22-08
FROM nvcr.io/nvidia/pytorch:22.08-py3
LABEL maintainer="Hugging Face"
ARG DEBIAN_FRONTEND=noninteractive
# Example: `cu102`, `cu113`, etc.
ARG CUDA='cu113'
ARG CUDA='cu117'
RUN apt -y update
RUN apt install -y libaio-dev
@ -20,6 +21,9 @@ RUN python3 -m pip install --no-cache-dir -U --pre torch torchvision torchaudio
RUN python3 -m pip install --no-cache-dir ./transformers[deepspeed-testing]
# Uninstall `torch-tensorrt` and `apex` shipped with the base image
RUN python3 -m pip uninstall -y torch-tensorrt apex
# Pre-build **nightly** release of DeepSpeed, so it would be ready for testing (otherwise, the 1st deepspeed test will timeout)
RUN python3 -m pip uninstall -y deepspeed
# This has to be run inside the GPU VMs running the tests. (So far, it fails here due to GPU checks during compilation.)
@ -27,23 +31,23 @@ RUN python3 -m pip uninstall -y deepspeed
# RUN git clone https://github.com/microsoft/DeepSpeed && cd DeepSpeed && rm -rf build && \
# DS_BUILD_CPU_ADAM=1 DS_BUILD_FUSED_ADAM=1 DS_BUILD_AIO=1 DS_BUILD_UTILS=1 python3 -m pip install . --global-option="build_ext" --global-option="-j8" --no-cache -v --disable-pip-version-check 2>&1
# For `torchdynamo` tests
# (see https://github.com/huggingface/transformers/pull/17765)
RUN git clone https://github.com/pytorch/functorch
RUN python3 -m pip install --no-cache-dir ./functorch[aot]
RUN cd functorch && python3 setup.py develop
RUN git clone https://github.com/pytorch/torchdynamo
RUN python3 -m pip install -r ./torchdynamo/requirements.txt
RUN cd torchdynamo && python3 setup.py develop
# install TensorRT
RUN python3 -m pip install --no-cache-dir -U nvidia-pyindex
RUN python3 -m pip install --no-cache-dir -U nvidia-tensorrt==8.2.4.2
# install torch_tensorrt (fx path)
RUN git clone https://github.com/pytorch/TensorRT.git
RUN cd TensorRT/py && python3 setup.py install --fx-only
## For `torchdynamo` tests
## (see https://github.com/huggingface/transformers/pull/17765)
#RUN git clone https://github.com/pytorch/functorch
#RUN python3 -m pip install --no-cache-dir ./functorch[aot]
#RUN cd functorch && python3 setup.py develop
#
#RUN git clone https://github.com/pytorch/torchdynamo
#RUN python3 -m pip install -r ./torchdynamo/requirements.txt
#RUN cd torchdynamo && python3 setup.py develop
#
## install TensorRT
#RUN python3 -m pip install --no-cache-dir -U nvidia-pyindex
#RUN python3 -m pip install --no-cache-dir -U nvidia-tensorrt==8.2.4.2
#
## install torch_tensorrt (fx path)
#RUN git clone https://github.com/pytorch/TensorRT.git
#RUN cd TensorRT/py && python3 setup.py install --fx-only
# When installing in editable mode, `transformers` is not recognized as a package.
# this line must be added in order for python to be aware of transformers.

4
utils/get_ci_error_statistics.py
View File

@ -66,12 +66,12 @@ def get_artifacts_links(worflow_run_id, token=None):
def download_artifact(artifact_name, artifact_url, output_dir, token):
"""Download a GitHub Action artifact from a URL.
The URL is of the from `https://api.github.com/repos/huggingface/transformers/actions/artifacts/{ARTIFACT_ID}/zip`,
The URL is of the form `https://api.github.com/repos/huggingface/transformers/actions/artifacts/{ARTIFACT_ID}/zip`,
but it can't be used to download directly. We need to get a redirect URL first.
See https://docs.github.com/en/rest/actions/artifacts#download-an-artifact
"""
# Get the redirect URL first
cmd = f'curl -v -H "Accept: application/vnd.github+json" -H "Authorization: token {token}" {artifact_url}'
cmd = f'curl -v -H "Accept: application/vnd.github+json" -H "Authorization: Bearer {token}" {artifact_url}'
output = subprocess.run(cmd, shell=True, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
o = output.stdout.decode("utf-8")
lines = o.splitlines()

32
utils/notification_service.py
View File

@ -590,23 +590,20 @@ class Message:
time.sleep(1)
def retrieve_artifact(name: str, gpu: Optional[str]):
def retrieve_artifact(artifact_path: str, gpu: Optional[str]):
if gpu not in [None, "single", "multi"]:
raise ValueError(f"Invalid GPU for artifact. Passed GPU: `{gpu}`.")
if gpu is not None:
name = f"{gpu}-gpu_{name}"
_artifact = {}
if os.path.exists(name):
files = os.listdir(name)
if os.path.exists(artifact_path):
files = os.listdir(artifact_path)
for file in files:
try:
with open(os.path.join(name, file)) as f:
with open(os.path.join(artifact_path, file)) as f:
_artifact[file.split(".")[0]] = f.read()
except UnicodeDecodeError as e:
raise ValueError(f"Could not open {os.path.join(name, file)}.") from e
raise ValueError(f"Could not open {os.path.join(artifact_path, file)}.") from e
return _artifact
@ -629,8 +626,14 @@ def retrieve_available_artifacts():
directories = filter(os.path.isdir, os.listdir())
for directory in directories:
if directory.startswith("single-gpu"):
artifact_name = directory[len("single-gpu") + 1 :]
artifact_name = directory
name_parts = artifact_name.split("_postfix_")
if len(name_parts) > 1:
artifact_name = name_parts[0]
if artifact_name.startswith("single-gpu"):
artifact_name = artifact_name[len("single-gpu") + 1 :]
if artifact_name in _available_artifacts:
_available_artifacts[artifact_name].single_gpu = True
@ -639,7 +642,7 @@ def retrieve_available_artifacts():
_available_artifacts[artifact_name].add_path(directory, gpu="single")
elif directory.startswith("multi-gpu"):
elif artifact_name.startswith("multi-gpu"):
artifact_name = directory[len("multi-gpu") + 1 :]
if artifact_name in _available_artifacts:
@ -649,7 +652,6 @@ def retrieve_available_artifacts():
_available_artifacts[artifact_name].add_path(directory, gpu="multi")
else:
artifact_name = directory
if artifact_name not in _available_artifacts:
_available_artifacts[artifact_name] = Artifact(artifact_name)
@ -805,10 +807,12 @@ if __name__ == "__main__":
framework, version = ci_event.replace("Past CI - ", "").split("-")
framework = "PyTorch" if framework == "pytorch" else "TensorFlow"
job_name_prefix = f"{framework} {version}"
elif ci_event.startswith("Nightly CI"):
job_name_prefix = "Nightly CI"
for model in model_results.keys():
for artifact_path in available_artifacts[f"run_all_tests_gpu_{model}_test_reports"].paths:
artifact = retrieve_artifact(artifact_path["name"], artifact_path["gpu"])
artifact = retrieve_artifact(artifact_path["path"], artifact_path["gpu"])
if "stats" in artifact:
# Link to the GitHub Action job
# The job names use `matrix.folder` which contain things like `models/bert` instead of `models_bert`
@ -901,7 +905,7 @@ if __name__ == "__main__":
else:
additional_results[key]["job_link"][artifact_path["gpu"]] = github_actions_job_links.get(key)
artifact = retrieve_artifact(artifact_path["name"], artifact_path["gpu"])
artifact = retrieve_artifact(artifact_path["path"], artifact_path["gpu"])
stacktraces = handle_stacktraces(artifact["failures_line"])
failed, success, time_spent = handle_test_results(artifact["stats"])

98
utils/past_ci_versions.py
View File

@ -4,6 +4,18 @@ import os
past_versions_testing = {
"pytorch": {
"1.13": {
"torch": "1.13.1",
"torchvision": "0.14.1",
"torchaudio": "0.13.1",
"python": 3.9,
"cuda": "cu116",
"install": (
"python3 -m pip install --no-cache-dir -U torch==1.13.1 torchvision==0.14.1 torchaudio==0.13.1"
" --extra-index-url https://download.pytorch.org/whl/cu116"
),
"base_image": "nvidia/cuda:11.6.2-cudnn8-devel-ubuntu20.04",
},
"1.12": {
"torch": "1.12.1",
"torchvision": "0.13.1",
@ -14,6 +26,7 @@ past_versions_testing = {
"python3 -m pip install --no-cache-dir -U torch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1"
" --extra-index-url https://download.pytorch.org/whl/cu113"
),
"base_image": "nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04",
},
"1.11": {
"torch": "1.11.0",
@ -25,6 +38,7 @@ past_versions_testing = {
"python3 -m pip install --no-cache-dir -U torch==1.11.0 torchvision==0.12.0 torchaudio==0.11.0"
" --extra-index-url https://download.pytorch.org/whl/cu113"
),
"base_image": "nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04",
},
"1.10": {
"torch": "1.10.2",
@ -36,6 +50,7 @@ past_versions_testing = {
"python3 -m pip install --no-cache-dir -U torch==1.10.2 torchvision==0.11.3 torchaudio==0.10.2"
" --extra-index-url https://download.pytorch.org/whl/cu113"
),
"base_image": "nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04",
},
# torchaudio < 0.10 has no CUDA-enabled binary distributions
"1.9": {
@ -48,87 +63,44 @@ past_versions_testing = {
"python3 -m pip install --no-cache-dir -U torch==1.9.1 torchvision==0.10.1 torchaudio==0.9.1"
" --extra-index-url https://download.pytorch.org/whl/cu111"
),
},
"1.8": {
"torch": "1.8.1",
"torchvision": "0.9.1",
"torchaudio": "0.8.1",
"python": 3.9,
"cuda": "cu111",
"install": (
"python3 -m pip install --no-cache-dir -U torch==1.8.1 torchvision==0.9.1 torchaudio==0.8.1"
" --extra-index-url https://download.pytorch.org/whl/cu111"
),
},
"1.7": {
"torch": "1.7.1",
"torchvision": "0.8.2",
"torchaudio": "0.7.2",
"python": 3.9,
"cuda": "cu110",
"install": (
"python3 -m pip install --no-cache-dir -U torch==1.7.1 torchvision==0.8.2 torchaudio==0.7.2"
" --extra-index-url https://download.pytorch.org/whl/cu110"
),
},
"1.6": {
"torch": "1.6.0",
"torchvision": "0.7.0",
"torchaudio": "0.6.0",
"python": 3.8,
"cuda": "cu101",
"install": (
"python3 -m pip install --no-cache-dir -U torch==1.6.0 torchvision==0.7.0 torchaudio==0.6.0"
" --extra-index-url https://download.pytorch.org/whl/cu101"
),
},
"1.5": {
"torch": "1.5.1",
"torchvision": "0.6.1",
"torchaudio": "0.5.1",
"python": 3.8,
"cuda": "cu101",
"install": (
"python3 -m pip install --no-cache-dir -U torch==1.5.1 torchvision==0.6.1 torchaudio==0.5.1"
" --extra-index-url https://download.pytorch.org/whl/cu101"
),
},
"1.4": {
"torch": "1.4.0",
"torchvision": "0.5.0",
"torchaudio": "0.4.0",
"python": 3.8,
"cuda": "cu100",
"install": (
"python3 -m pip install --no-cache-dir -U torch==1.4.0 torchvision==0.5.0 torchaudio==0.4.0"
" --extra-index-url https://download.pytorch.org/whl/cu100"
),
"base_image": "nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04",
},
},
"tensorflow": {
"2.11": {
"tensorflow": "2.11.1",
"install": "python3 -m pip install --no-cache-dir -U tensorflow==2.11.1",
"base_image": "nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04",
},
"2.10": {
"tensorflow": "2.10.1",
"install": "python3 -m pip install --no-cache-dir -U tensorflow==2.10.1",
"base_image": "nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04",
},
"2.9": {
"tensorflow": "2.9.3",
"install": "python3 -m pip install --no-cache-dir -U tensorflow==2.9.3",
"base_image": "nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04",
},
"2.8": {
"tensorflow": "2.8.2",
"install": "python3 -m pip install --no-cache-dir -U tensorflow==2.8.2",
"base_image": "nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04",
},
"2.7": {
"tensorflow": "2.7.3",
"install": "python3 -m pip install --no-cache-dir -U tensorflow==2.7.3",
"base_image": "nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04",
},
"2.6": {
"tensorflow": "2.6.5",
"install": "python3 -m pip install --no-cache-dir -U tensorflow==2.6.5",
"base_image": "nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04",
},
"2.5": {
"tensorflow": "2.5.3",
"install": "python3 -m pip install --no-cache-dir -U tensorflow==2.5.3",
},
# need another `nvidia:cuda` docker image, otherwise GPU not working
"2.4": {
"tensorflow": "2.4.4",
"install": "python3 -m pip install --no-cache-dir -U tensorflow==2.4.4",
# This should be specified as a docker build argument.
# We keep the information here for reference only.
"base_docker": "nvidia/cuda:11.0.3-cudnn8-devel-ubuntu20.04",
"base_image": "nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04",
},
},
}