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* add e2e CI * modify the card id * solve the concurrency issue * add dependancy for torchbench * add dependancy for torchbench * modify the github.workspace path * activate oneAPI * git submodule update * change triton path * update triton build * update triton commit * modify test scope and yml name * change the install e2e suites path * change the install e2e suites path * change use path * change use path * change use path * addd bash for e2e install * addd bash for e2e install * addd bash for e2e install * add composite * modify the e2e running way * add inductor_xpu_test.sh * modify the E2E test sciripts --------- Co-authored-by: Zhong, Ruijie <ruijie.zhong@intel.com>
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name: inductor-xpu-e2e-test | ||
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||
inputs: | ||
suite: | ||
required: true | ||
type: string | ||
default: "huggingface" | ||
description: Dynamo benchmarks test suite, huggingface / timm_models / torchbench | ||
dt: | ||
required: true | ||
type: string | ||
default: "float32" | ||
description: Data precision of the test. float32 / bfloat16 / float16 / amp_fp16 / amp_bf16 | ||
mode: | ||
required: true | ||
type: string | ||
default: "inference" | ||
description: inference / training test | ||
scenario: | ||
required: true | ||
type: string | ||
default: "accuracy" | ||
description: accuracy / performance test | ||
cards: | ||
required: false | ||
type: string | ||
default: "all" | ||
description: which cards can be used in the test | ||
expected_pass_num: | ||
required: false | ||
type: number | ||
description: for result check | ||
|
||
runs: | ||
using: composite | ||
steps: | ||
- name: E2E Test (${{ inputs.suite }} ${{ inputs.dt }} ${{ inputs.mode }} ${{ inputs.scenario }}) | ||
shell: bash | ||
run: | | ||
source activate e2e_ci | ||
cp .github/scripts/inductor_xpu_test.sh ../pytorch | ||
cd ../pytorch | ||
if [[ ${{ input.suite}} == "timm_models" ]]; then | ||
pip install --no-deps "git+https://github.com/rwightman/pytorch-image-models@b9d43c7dcac1fe05e851dd7be7187b108af593d2" | ||
elif [[ ${{ input.suite}} == "torchbench" ]]; then | ||
pip install transformers==4.38.1 --no-deps | ||
pip install timm==0.9.7 --no-deps | ||
apt-get update -y | ||
apt install libgl1-mesa-glx -y | ||
conda install -y git-lfs pyyaml pandas scipy psutil | ||
pip install tqdm pandas pyre-extensions torchrec tensorboardX dalle2_pytorch torch_geometric scikit-image matplotlib gym fastNLP doctr matplotlib opacus python-doctr higher opacus dominate kaldi-io librosa effdet pycocotools diffusers | ||
pip uninstall -y pyarrow pandas | ||
pip install pyarrow pandas | ||
cd .. | ||
git clone https://github.com/facebookresearch/detectron2.git | ||
python -m pip install -e detectron2 | ||
git clone --recursive https://github.com/facebookresearch/multimodal.git multimodal | ||
pushd multimodal | ||
pip install -e . | ||
popd | ||
fi | ||
#TRANSFORMERS_COMMIT=$(cat .ci/docker/ci_commit_pins/huggingface.txt) | ||
#pip install --force-reinstall git+https://github.com/huggingface/transformers@${TRANSFORMERS_COMMIT} | ||
source /opt/intel/oneapi/setvars.sh | ||
#export PYTORCH_ENABLE_XPU_FALLBACK=1 | ||
rm -rf inductor_log | ||
bash inductor_xpu_test.sh ${{ inputs.suite }} ${{ inputs.dt }} ${{ inputs.mode }} ${{ inputs.scenario }} xpu 3 | ||
- name: Test Results Overview (${{ inputs.suite }} ${{ inputs.dt }} ${{ inputs.mode }} ${{ inputs.scenario }}) | ||
shell: bash | ||
run: | | ||
set +e | ||
cd ../pytorch/inductor_log/${{ inputs.suite }} | ||
cd ${{ inputs.dt }} | ||
echo -e "============ Summary for ${{ inputs.suite }} ${{ inputs.dt }} ${{ inputs.mode }} ${{ inputs.scenario }} ============" | tee -a ./${{ inputs.suite }}_${{ inputs.dt }}_${{ inputs.mode }}_${{ inputs.scenario }}_e2e_summary.log | ||
awk -i inplace '!seen[$0]++' inductor_${{ inputs.suite }}_${{ inputs.dt }}_${{ inputs.mode }}_xpu_${{ inputs.scenario }}.csv | ||
csv_lines=$(cat inductor_${{ inputs.suite }}_${{ inputs.dt }}_${{ inputs.mode }}_xpu_${{ inputs.scenario }}.csv | wc -l) | ||
let num_total=csv_lines-1 | ||
num_passed=$(grep -c "pass" inductor_${{ inputs.suite }}_${{ inputs.dt }}_${{ inputs.mode }}_xpu_${{ inputs.scenario }}.csv) | ||
let num_failed=num_total-num_passed | ||
pass_rate=`awk 'BEGIN{printf "%.2f%%\n",('$num_passed'/'$num_total')*100}'` | ||
echo "num_total: $num_total" | tee -a ./${{ inputs.suite }}_${{ inputs.dt }}_${{ inputs.mode }}_${{ inputs.scenario }}_e2e_summary.log | ||
echo "num_passed: $num_passed" | tee -a ./${{ inputs.suite }}_${{ inputs.dt }}_${{ inputs.mode }}_${{ inputs.scenario }}_e2e_summary.log | ||
echo "num_failed: $num_failed" | tee -a ./${{ inputs.suite }}_${{ inputs.dt }}_${{ inputs.mode }}_${{ inputs.scenario }}_e2e_summary.log | ||
echo "pass_rate: $pass_rate" | tee -a ./${{ inputs.suite }}_${{ inputs.dt }}_${{ inputs.mode }}_${{ inputs.scenario }}_e2e_summary.log | ||
cd ${{ github.workspace }} && cp -r ../pytorch/inductor_log . | ||
- name: Upload Inductor XPU E2E CI Data (${{ inputs.suite }} ${{ inputs.dt }} ${{ inputs.mode }} ${{ inputs.scenario }}) | ||
uses: actions/upload-artifact@v4 | ||
with: | ||
name: Inductor-XPU-E2E-CI-Data-${{ inputs.suite }}-${{ inputs.dt }}-${{ inputs.mode }}-${{ inputs.scenario }}-${{ github.event.pull_request.number || github.ref }} | ||
path: ${{ github.workspace }}/../pytorch/inductor_log | ||
- name: Test Results Check (${{ inputs.suite }} ${{ inputs.dt }} ${{ inputs.mode }} ${{ inputs.scenario }}) | ||
if: ${{ inputs.expected_pass_num }} | ||
shell: bash | ||
run: | | ||
cd ../pytorch/inductor_log/${{ inputs.suite }} | ||
cd ${{ inputs.dt }} | ||
num_passed=$(grep "num_passed:" ${{ inputs.suite }}_${{ inputs.dt }}_${{ inputs.mode }}_${{ inputs.scenario }}_e2e_summary.log | sed -e 's/.*://;s/[^0-9.]//') | ||
if [ $num_passed -lt ${{ inputs.expected_pass_num }} ]; then | ||
echo -e "[ERROR] Inductor E2E CI test for ${{ inputs.suite }} ${{ inputs.dt }} ${{ inputs.mode }} passed_num < ${{ inputs.expected_pass_num }}" | ||
exit 1 | ||
fi |
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SUITE=${1:-huggingface} | ||
DT=${2:-amp_bf16} | ||
MODE=${3:-inference} | ||
SCENARIO=${4:-accuracy} | ||
expected_pass_num=${5:-46} | ||
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echo -e "=========================================================================" | ||
echo -e "Dependancy Install" | ||
echo -e "=========================================================================" | ||
source activate e2e_ci | ||
cp .github/scripts/inductor_xpu_test.sh ../pytorch | ||
cd ../pytorch | ||
if [[ ${SUITE} == "timm_MODEls" ]]; then | ||
pip install --no-deps "git+https://github.com/rwightman/pytorch-image-MODEls@b9d43c7dcac1fe05e851dd7be7187b108af593d2" | ||
elif [[ ${SUITE} == "torchbench" ]]; then | ||
pip install transformers==4.38.1 --no-deps | ||
pip install timm==0.9.7 --no-deps | ||
apt-get update -y | ||
apt install libgl1-mesa-glx -y | ||
conda install -y git-lfs pyyaml pandas scipy psutil | ||
pip install tqdm pandas pyre-extensions torchrec tensorboardX dalle2_pytorch torch_geometric scikit-image matplotlib gym fastNLP doctr matplotlib opacus python-doctr higher opacus dominate kaldi-io librosa effdet pycocotools diffusers | ||
pip uninstall -y pyarrow pandas | ||
pip install pyarrow pandas | ||
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cd .. | ||
git clone https://github.com/facebookresearch/detectron2.git | ||
python -m pip install -e detectron2 | ||
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git clone --recursive https://github.com/facebookresearch/multimodal.git multimodal | ||
pushd multimodal | ||
pip install -e . | ||
popd | ||
fi | ||
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#TRANSFORMERS_COMMIT=$(cat .ci/docker/ci_commit_pins/huggingface.txt) | ||
#pip install --force-reinstall git+https://github.com/huggingface/transformers@${TRANSFORMERS_COMMIT} | ||
echo -e "=========================================================================" | ||
echo -e "E2E Test" | ||
echo -e "=========================================================================" | ||
source /opt/intel/oneapi/setvars.sh | ||
export HUGGING_FACE_HUB_TOKEN=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 | ||
#export PYTORCH_ENABLE_XPU_FALLBACK=1 | ||
rm -rf inductor_log | ||
bash inductor_xpu_test.sh ${SUITE} ${DT} ${MODE} ${SCENARIO} xpu 3 | ||
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echo -e "=========================================================================" | ||
echo -e "Test Results Summary" | ||
echo -e "=========================================================================" | ||
cd ../pytorch/inductor_log/${SUITE} | ||
cd ${DT} | ||
echo -e "============ Summary for ${SUITE} ${DT} ${MODE} ${SCENARIO} ============" | tee -a ./${SUITE}_${DT}_${MODE}_${SCENARIO}_e2e_summary.log | ||
awk -i inplace '!seen[$0]++' inductor_${SUITE}_${DT}_${MODE}_xpu_${SCENARIO}.csv | ||
csv_lines=$(cat inductor_${SUITE}_${DT}_${MODE}_xpu_${SCENARIO}.csv | wc -l) | ||
let num_total=csv_lines-1 | ||
num_passed=$(grep -c "pass" inductor_${SUITE}_${DT}_${MODE}_xpu_${SCENARIO}.csv) | ||
let num_failed=num_total-num_passed | ||
#pass_rate=`awk 'BEGIN{printf "%.2f%%\n",('$num_passed'/'$num_total')*100}'` | ||
echo "num_total: $num_total" | tee -a ./${SUITE}_${DT}_${MODE}_${SCENARIO}_e2e_summary.log | ||
echo "num_passed: $num_passed" | tee -a ./${SUITE}_${DT}_${MODE}_${SCENARIO}_e2e_summary.log | ||
echo "num_failed: $num_failed" | tee -a ./${SUITE}_${DT}_${MODE}_${SCENARIO}_e2e_summary.log | ||
#echo "pass_rate: $pass_rate" | tee -a ./${SUITE}_${DT}_${MODE}_${SCENARIO}_e2e_summary.log |
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#! /bin/bash | ||
# This script work for xpu / cuda device inductor tests | ||
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SUITE=${1:-huggingface} # huggingface / torchbench / timm_models | ||
DT=${2:-float32} # float32 / float16 / amp_bf16 / amp_fp16 | ||
MODE=${3:-inference} # inference / training | ||
SCENARIO=${4:-accuracy} # accuracy / performance | ||
DEVICE=${5:-xpu} # xpu / cuda | ||
CARD=${6:-0} # 0 / 1 / 2 / 3 ... | ||
SHAPE=${7:-static} # static / dynamic | ||
NUM_SHARDS=${8} # num test shards | ||
SHARD_ID=${9} # shard id | ||
MODEL_ONLY=${10} # GoogleFnet / T5Small | ||
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WORKSPACE=`pwd` | ||
LOG_DIR=$WORKSPACE/inductor_log/${SUITE}/${DT} | ||
mkdir -p ${LOG_DIR} | ||
LOG_NAME=inductor_${SUITE}_${DT}_${MODE}_${DEVICE}_${SCENARIO} | ||
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Model_only_extra="" | ||
if [[ -n "$MODEL_ONLY" ]]; then | ||
echo "Testing model ${MODEL_ONLY}" | ||
Model_only_extra="--only ${MODEL_ONLY}" | ||
fi | ||
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Cur_Ver=`pip list | grep "^torch " | awk '{print $2}' | cut -d"+" -f 1` | ||
if [ $(printf "${Cur_Ver}\n2.0.2"|sort|head -1) = "${Cur_Ver}" ]; then | ||
Mode_extra=""; | ||
else | ||
# For PT 2.1 | ||
Mode_extra="--inference --freezing "; | ||
fi | ||
if [[ $MODE == "training" ]]; then | ||
echo "Testing with training mode." | ||
Mode_extra="--training " | ||
fi | ||
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Shape_extra="" | ||
if [[ $SHAPE == "dynamic" ]]; then | ||
echo "Testing with dynamic shapes." | ||
Shape_extra="--dynamic-shapes --dynamic-batch-only " | ||
fi | ||
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partition_flags="" | ||
if [[ -n "$NUM_SHARDS" && -n "$SHARD_ID" ]]; then | ||
partition_flags="--total-partitions $NUM_SHARDS --partition-id $SHARD_ID " | ||
fi | ||
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ulimit -n 1048576 | ||
if [[ $DT == "amp_bf16" ]]; then | ||
ZE_AFFINITY_MASK=${CARD} python benchmarks/dynamo/${SUITE}.py --${SCENARIO} --amp -d${DEVICE} -n10 --no-skip --dashboard ${Mode_extra} ${Shape_extra} ${partition_flags} ${Model_only_extra} --backend=inductor --timeout=4800 --output=${LOG_DIR}/${LOG_NAME}.csv 2>&1 | tee ${LOG_DIR}/${LOG_NAME}.log | ||
elif [[ $DT == "amp_fp16" ]]; then | ||
export INDUCTOR_AMP_DT=float16 | ||
ZE_AFFINITY_MASK=${CARD} python benchmarks/dynamo/${SUITE}.py --${SCENARIO} --amp -d${DEVICE} -n10 --no-skip --dashboard ${Mode_extra} ${Shape_extra} ${partition_flags} ${Model_only_extra} --backend=inductor --timeout=4800 --output=${LOG_DIR}/${LOG_NAME}.csv 2>&1 | tee ${LOG_DIR}/${LOG_NAME}.log | ||
else | ||
ZE_AFFINITY_MASK=${CARD} python benchmarks/dynamo/${SUITE}.py --${SCENARIO} --${DT} -d${DEVICE} -n10 --no-skip --dashboard ${Mode_extra} ${Shape_extra} ${partition_flags} ${Model_only_extra} --backend=inductor --timeout=4800 --output=${LOG_DIR}/${LOG_NAME}.csv 2>&1 | tee ${LOG_DIR}/${LOG_NAME}.log | ||
fi |
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name: install-e2e-suites | ||
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runs: | ||
using: composite | ||
steps: | ||
- name: Torchvision Install | ||
shell: bash | ||
run: | | ||
source activate e2e_ci | ||
cd ../pytorch | ||
TORCH_VISION_PIN_COMMIT=$(cat .github/ci_commit_pins/vision.txt) | ||
cd .. | ||
if [ ! -d "vision" ]; then | ||
git clone --recursive https://github.com/pytorch/vision.git | ||
fi | ||
cd vision | ||
git checkout ${TORCH_VISION_PIN_COMMIT} | ||
conda install -y libpng jpeg | ||
# TODO: We use an older version ffmpeg to avoid the vision capability issue. | ||
conda install -y -c conda-forge 'ffmpeg<4.4' | ||
python setup.py install | ||
cd .. | ||
- name: Torchtext Install | ||
shell: bash | ||
run: | | ||
source activate e2e_ci | ||
cd ../pytorch | ||
TORCH_TEXT_PIN_COMMIT=$(cat .github/ci_commit_pins/text.txt) | ||
cd .. | ||
if [ ! -d "text" ]; then | ||
git clone --recursive https://github.com/pytorch/text.git | ||
fi | ||
# Torchtext | ||
cd text | ||
git checkout ${TORCH_TEXT_PIN_COMMIT} | ||
python setup.py clean install | ||
cd .. | ||
- name: Torchaudio Install | ||
shell: bash | ||
run: | | ||
source activate e2e_ci | ||
cd ../pytorch | ||
TORCH_AUDIO_PIN_COMMIT=$(cat .github/ci_commit_pins/audio.txt) | ||
cd .. | ||
# Torch audio | ||
if [ ! -d "audio" ]; then | ||
git clone --recursive https://github.com/pytorch/audio.git | ||
fi | ||
cd audio | ||
# Optionally `git checkout {pinned_commit}` | ||
# git checkout ${TORCH_AUDIO_PIN_COMMIT} break in pinned_commit | ||
python setup.py install | ||
cd .. | ||
- name: Benchmark Install | ||
shell: bash | ||
run: | | ||
source activate e2e_ci | ||
BENCHMARK_PINNED_COMMIT=$(cat .github/ci_commit_pins/benchmark.txt) | ||
cd .. | ||
if [ ! -d "benchmark" ]; then | ||
git clone --recursive https://github.com/weishi-deng/benchmark | ||
fi | ||
cd benchmark | ||
git checkout ${BENCHMARK_PINNED_COMMIT} | ||
python install.py | ||
pip install -e . | ||
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SUITE=${1:-huggingface} | ||
DT=${2:-amp_bf16} | ||
MODE=${3:-inference} | ||
SCENARIO=${4:-accuracy} | ||
expected_pass_num=${5:-46} | ||
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echo -e "=========================================================================" | ||
echo -e "Results Check" | ||
echo -e "=========================================================================" | ||
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cd ../pytorch/inductor_log/${SUITE} | ||
cd ${DT} | ||
num_passed=$(grep "num_passed:" ${SUITE}_${DT}_${MODE}_${SCENARIO}_e2e_summary.log | sed -e 's/.*://;s/[^0-9.]//') | ||
if [ $num_passed -lt ${expected_pass_num} ]; then | ||
echo -e "[ERROR] Inductor E2E CI test for ${SUITE} ${DT} ${MODE} passed_num < ${expected_pass_num}" | ||
exit 1 | ||
fi |
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name: E2E CI Tests | ||
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on: | ||
workflow_dispatch: | ||
pull_request: | ||
branches: [dev/triton-test-3.0] | ||
merge_group: | ||
branches: [dev/triton-test-3.0] | ||
types: [checks_requested] | ||
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permissions: read-all | ||
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concurrency: | ||
group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }} | ||
cancel-in-progress: true | ||
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jobs: | ||
Inductor-XPU-E2E-CI-Tests: | ||
runs-on: [self-hosted, Inductor_test] | ||
steps: | ||
- name: Checkout | ||
uses: actions/checkout@v4 | ||
- name: Prepare Conda ENV | ||
run: | | ||
which conda | ||
conda remove -yn e2e_ci --all | ||
if conda env list | grep -q "^e2e_ci "; then source activate e2e_ci; else conda create -n e2e_ci python=3.9 cmake ninja -y; fi | ||
conda install intel::mkl-static intel::mkl-include -y | ||
pip install pandas scipy tqdm | ||
- name: Prepare Pytorch | ||
run: | | ||
source activate e2e_ci | ||
pwd | ||
cd ../ && rm -rf pytorch | ||
git clone -b dev/triton-test-3.0 https://github.com/Stonepia/pytorch.git pytorch | ||
cd pytorch && git log -n 1 && git submodule sync && git submodule update --init --recursive | ||
conda install -c conda-forge libstdcxx-ng -y | ||
pip install pyyaml | ||
pip install -r requirements.txt | ||
python setup.py develop | ||
- name: Prepare IPEX | ||
run: | | ||
source activate e2e_ci | ||
source /opt/intel/oneapi/setvars.sh | ||
python -c "import torch;print(f'torch version {torch.__version__}')" | ||
python -m pip uninstall intel_extension_for_pytorch -y | ||
export CMAKE_PREFIX_PATH=${CONDA_PREFIX:-"$(dirname $(which conda))/../"} | ||
cd ${{ github.workspace }} | ||
git submodule sync && git submodule update --init --recursive --jobs 0 | ||
python -m pip install -r requirements.txt | ||
python setup.py bdist_wheel | ||
pip install --force-reinstall dist/*.whl | ||
- name: Triton Installation | ||
run: | | ||
source activate e2e_ci | ||
TRITON_PINNED_COMMIT=$(cat .github/ci_commit_pins/triton.txt) | ||
echo ${TRITON_REPO}@${TRITON_PINNED_COMMIT} | ||
cd ${{ github.workspace }} | ||
cd .. | ||
TRITON_REPO="https://github.com/intel/intel-xpu-backend-for-triton" | ||
echo ${TRITON_REPO}@${TRITON_PINNED_COMMIT} | ||
pip install --force-reinstall "git+${TRITON_REPO}@${TRITON_PINNED_COMMIT}#subdirectory=python" | ||
- name: E2E dependancy install | ||
uses: ./.github/scripts/install-e2e-suites | ||
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- name: Huggingface AMP_BF16 Inference Accuracy Test | ||
run: | | ||
bash .github/scripts/inductor-xpu-e2e.sh | ||
- name: Upload Triton Inductor E2E CI Data | ||
uses: actions/upload-artifact@v3 | ||
with: | ||
name: Triton-Inductor-E2E-CI-Data | ||
path: /home/ipex/actions-runner/_work/intel-extension-for-pytorch/pytorch/inductor_log/ | ||
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- name: Test Result Check | ||
run: | | ||
bash .github/scripts/results-check.sh |