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demo.yml
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name: GitHub Actions Demo
run-name: ${{ github.actor }} is testing out GitHub Action
on:
pull_request:
branches:
- wenjun/ci
concurrency:
group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }}
cancel-in-progress: true
jobs:
openXLA-DEMO-CI:
runs-on: self-hosted
steps:
- name: Check out repository code
uses: actions/checkout@v3
- name: Prepare Conda Environment
run: |
set +e
CONDA_ENV=openxla_preCI_${{ github.event.pull_request.number }}_${{ runner.name }}
source ${HOME}/miniconda3/bin/activate ${CONDA_ENV}
if [ $? -ne 0 ]; then
echo 'conda env does not exist'
conda create -n ${CONDA_ENV} python=3.10 -y
conda activate ${CONDA_ENV}
fi
pip install jax==0.4.13 jaxlib==0.4.13
pip install numpy
conda install libstdcxx-ng==12.2.0 -c conda-forge
pip install absl-py
pip list | grep numpy
pip list | grep jax
# - name: Build openXLA
# run: |
# set +e
# CONDA_ENV=openxla_preCI_${{ github.event.pull_request.number }}_${{ runner.name }}
# source ${HOME}/miniconda3/bin/activate ${CONDA_ENV}
# which bazel
# if [ $? -eq 1 ]; then
# wget https://github.com/bazelbuild/bazel/releases/download/5.3.0/bazel-5.3.0-installer-linux-x86_64.sh
# bash bazel-5.3.0-installer-linux-x86_64.sh --user
# fi
# export PATH=$PATH:/home/sdp/bin
# source /home/sdp/.bazel/bin/bazel-complete.bash
# bazel --version
# pip list | grep numpy
# pip install numpy
# basekit_path=/home/sdp
# complier_path=${basekit_path}/intel/oneapi/compiler/latest
# mkl_path=${basekit_path}/intel/oneapi/mkl/latest
# cp /home/sdp/openXLA_demoxla_auto_configure_mkl.exp .
# ls
# python --version
# chmod +x ./openXLA_demoxla_auto_configure_mkl.exp
# ./openXLA_demoxla_auto_configure_mkl.exp $complier_path $mkl_path
# bazel clean --expunge --async
# bazel build //xla/tools/pip_package:build_pip_package
# ./bazel-bin/xla/tools/pip_package/build_pip_package ./
# build_result=${PIPESTATUS[0]}
# echo $build_result
# if [ "$build_result" = "0" ];then
# echo "Build successful"
# pip install *.whl
# else
# echo "Build Failed"
# exit 1
# fi
- name: UT testing
run: |
CONDA_ENV=openxla_preCI_${{ github.event.pull_request.number }}_${{ runner.name }}
source ${HOME}/miniconda3/bin/activate ${CONDA_ENV}
basekit_path=/home/sdp
source ${basekit_path}/intel/oneapi/compiler/latest/env/vars.sh
source ${basekit_path}/intel/oneapi/mkl/latest/env/vars.sh
folder_path="/home/sdp/xuming/ut"
pip install absl-py
# Loop through all Python files in the folder and execute them
dev_num=4 #IDC have 4 1100 pvc card
# Create a pipe and bind the file descriptor 6
tmp_fifofile="/tmp/$$.fifo"
mkfifo $tmp_fifofile
exec 6<>$tmp_fifofile
rm $tmp_fifofile
# Writing NUM_PROC blank data to the pipe
for ((i = 0; i < $dev_num; i++)); do
echo "$i"
done >&6
for file in "$folder_path"/*.py; do
# read one data from the pipe
read -u6 id
{
echo "running ut on device-$id"
key=$(basename $file .py)
echo $file
ZE_AFFINITY_MASK="$id" python $file
if [ ${PIPESTATUS[0]} -eq 0 ]; then
echo "run $file successfully"
else
echo "run $test_case failed"
fi
# writing one data to the pipe for the next task
echo $id >&6
} &
done
wait
exec 6>&-