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Unverified Commit 642e1936 authored by Patrick von Platen's avatar Patrick von Platen Committed by GitHub
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[GitHub Runner] Fix flax runner (#13357) 

* correct

* also comment out multi-gpu test push
parent c76de105
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.github/workflows/self-push.yml
View file @ 642e1936
......@@ -106,9 +106,9 @@ jobs:
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: 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
......@@ -118,10 +118,9 @@ jobs:
- name: Run all non-slow tests on GPU
run: |
python -m pytest -n 2 --dist=loadfile -v --make-reports=tests_flax_gpu
# if [ -f test_list.txt ]; then
# python -m pytest -n 2 --dist=loadfile -v --make-reports=tests_flax_gpu $(cat test_list.txt)
# fi
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() }}
......@@ -251,61 +250,60 @@ jobs:
name: run_all_tests_torch_multi_gpu_test_reports
path: reports
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
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()))"
# 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
# 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: |
python -m pytest -n 2 --dist=loadfile -v --make-reports=tests_flax_multi_gpu
#
# - 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
#
# - 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]
......
.github/workflows/self-scheduled.yml
View file @ 642e1936
......@@ -86,7 +86,7 @@ jobs:
path: reports
run_all_tests_flax_gpu:
runs-on: [self-hosted, docker-gpu, single-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/
......@@ -291,45 +291,44 @@ jobs:
name: run_all_tests_tf_multi_gpu_test_reports
path: reports
run_all_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: Launcher docker
uses: actions/checkout@v2
- name: NVIDIA-SMI
continue-on-error: true
run: |
nvidia-smi
- name: Install dependencies
run: |
pip install --upgrade pip
pip install --upgrade "jax[cuda111]" -f https://storage.googleapis.com/jax-releases/jax_releases.html
pip install .[flax,integrations,sklearn,testing,sentencepiece,flax-speech,vision]
- 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: Run all tests on GPU
run: |
python -m pytest -n 1 -v --dist=loadfile --make-reports=tests_flax_gpu tests
- name: Failure short reports
if: ${{ always() }}
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_all_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: Launcher docker
# uses: actions/checkout@v2
#
# - name: NVIDIA-SMI
# run: |
# nvidia-smi
#
# - name: Install dependencies
# run: |
# pip install --upgrade pip
# pip install --upgrade "jax[cuda111]" -f https://storage.googleapis.com/jax-releases/jax_releases.html
# pip install .[flax,integrations,sklearn,testing,sentencepiece,flax-speech,vision]
#
# - 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: Run all tests on GPU
# run: |
# python -m pytest -n 1 -v --dist=loadfile --make-reports=tests_flax_gpu tests
#
# - name: Failure short reports
# if: ${{ always() }}
# 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_all_tests_torch_cuda_extensions_gpu:
runs-on: [self-hosted, docker-gpu, single-gpu]
......
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