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Reactive test fecthers on scheduled test with proper git install (#13097)

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* Reactive test fecthers on scheduled test with proper git install

* Proper fetch-depth
This commit is contained in:
Sylvain Gugger
2021-08-12 11:38:14 +02:00
committed by GitHub
parent ea8ffe36d3
commit be323d5152
2 changed files with 78 additions and 80 deletions
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156
.github/workflows/self-push.yml vendored
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@@ -28,6 +28,13 @@ jobs:
image: pytorch/pytorch:1.9.0-cuda11.1-cudnn8-runtime
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
pip install --upgrade pip
pip install .[sklearn,testing,onnxruntime,sentencepiece,speech,vision,timm]
- name: Launcher docker
uses: actions/checkout@v2
with:
@@ -37,12 +44,6 @@ jobs:
run: |
nvidia-smi
- name: Install dependencies
run: |
apt -y update && apt install -y libsndfile1-dev git
pip install --upgrade pip
pip install .[sklearn,testing,onnxruntime,sentencepiece,speech,vision,timm]
- name: Are GPUs recognized by our DL frameworks
run: |
python -c "import torch; print('Cuda available:', torch.cuda.is_available())"
@@ -50,22 +51,21 @@ jobs:
python -c "import torch; print('CuDNN version:', torch.backends.cudnn.version())"
python -c "import torch; print('Number of GPUs available:', torch.cuda.device_count())"
# - name: Fetch the tests to run
# run: |
# python utils/tests_fetcher.py | tee test_preparation.txt
#
# - name: Report fetched tests
# uses: actions/upload-artifact@v2
# with:
# name: test_fetched
# path: test_preparation.txt
#
- 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: |
python -m pytest -n 2 --dist=loadfile -v --make-reports=tests_torch_gpu tests
# if [ -f test_list.txt ]; then
# python -m pytest -n 2 --dist=loadfile -v --make-reports=tests_torch_gpu $(cat test_list.txt)
# fi
if [ -f test_list.txt ]; then
python -m pytest -n 2 --dist=loadfile -v --make-reports=tests_torch_gpu $(cat test_list.txt)
fi
- name: Failure short reports
if: ${{ always() }}
@@ -85,6 +85,12 @@ jobs:
# 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
# pip install --upgrade pip
# pip install .[sklearn,testing,onnxruntime,sentencepiece]
#
# - name: Launcher docker
# uses: actions/checkout@v2
# with:
@@ -94,12 +100,6 @@ jobs:
# run: |
# nvidia-smi
#
# - name: Install dependencies
# run: |
# apt -y update && apt install -y git
# pip install --upgrade pip
# pip install .[sklearn,testing,onnxruntime,sentencepiece]
#
# - 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')))"
@@ -107,7 +107,7 @@ jobs:
#
# - name: Fetch the tests to run
# run: |
# python utils/tests_fetcher.py | tee test_preparation.txt
# python utils/tests_fetcher.py --diff_with_last_commit | tee test_preparation.txt
#
# - name: Report fetched tests
# uses: actions/upload-artifact@v2
@@ -142,6 +142,13 @@ jobs:
image: pytorch/pytorch:1.9.0-cuda11.1-cudnn8-runtime
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
apt install -y libsndfile1-dev
pip install --upgrade pip
pip install .[sklearn,testing,onnxruntime,sentencepiece,speech,vision,timm]
- name: Launcher docker
uses: actions/checkout@v2
with:
@@ -151,12 +158,6 @@ jobs:
run: |
nvidia-smi
- name: Install dependencies
run: |
apt -y update && apt install -y libsndfile1-dev git
pip install --upgrade pip
pip install .[sklearn,testing,onnxruntime,sentencepiece,speech,vision,timm]
- name: Are GPUs recognized by our DL frameworks
run: |
python -c "import torch; print('Cuda available:', torch.cuda.is_available())"
@@ -164,24 +165,23 @@ jobs:
python -c "import torch; print('CuDNN version:', torch.backends.cudnn.version())"
python -c "import torch; print('Number of GPUs available:', torch.cuda.device_count())"
# - name: Fetch the tests to run
# run: |
# python utils/tests_fetcher.py | tee test_preparation.txt
#
# - name: Report fetched tests
# uses: actions/upload-artifact@v2
# with:
# name: test_fetched
# path: test_preparation.txt
- 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:
MKL_SERVICE_FORCE_INTEL: 1
run: |
python -m pytest -n 2 --dist=loadfile -v --make-reports=tests_torch_multi_gpu tests
# 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
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
- name: Failure short reports
if: ${{ always() }}
@@ -201,6 +201,12 @@ jobs:
# 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
# pip install --upgrade pip
# pip install .[sklearn,testing,onnxruntime,sentencepiece]
#
# - name: Launcher docker
# uses: actions/checkout@v2
# with:
@@ -210,12 +216,6 @@ jobs:
# run: |
# nvidia-smi
#
# - name: Install dependencies
# run: |
# apt -y update && apt install -y git
# pip install --upgrade pip
# pip install .[sklearn,testing,onnxruntime,sentencepiece]
#
# - 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')))"
@@ -223,7 +223,7 @@ jobs:
#
# - name: Fetch the tests to run
# run: |
# python utils/tests_fetcher.py | tee test_preparation.txt
# python utils/tests_fetcher.py --diff_with_last_commit | tee test_preparation.txt
#
# - name: Report fetched tests
# uses: actions/upload-artifact@v2
@@ -279,22 +279,21 @@ jobs:
python -c "import torch; print('CuDNN version:', torch.backends.cudnn.version())"
python -c "import torch; print('Number of GPUs available:', torch.cuda.device_count())"
# - name: Fetch the tests to run
# run: |
# python utils/tests_fetcher.py --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: Fetch the tests to run
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: |
python -m pytest -n 1 --dist=loadfile -v --make-reports=tests_torch_cuda_extensions_gpu tests/deepspeed tests/extended
# 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
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
- name: Failure short reports
if: ${{ always() }}
@@ -335,22 +334,21 @@ jobs:
python -c "import torch; print('CuDNN version:', torch.backends.cudnn.version())"
python -c "import torch; print('Number of GPUs available:', torch.cuda.device_count())"
# - name: Fetch the tests to run
# run: |
# python utils/tests_fetcher.py --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: Fetch the tests to run
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: |
python -m pytest -n 1 --dist=loadfile -v --make-reports=tests_torch_cuda_extensions_multi_gpu tests/deepspeed tests/extended
# 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
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
- name: Failure short reports
if: ${{ always() }}