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Merged
merged 9 commits into from
Dec 19, 2024
Merged

Add dcu paddlex #68448

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ac1808e
Add DCU PaddleX
tianshuo78520a Sep 25, 2024
2c0170e
fix
tianshuo78520a Sep 25, 2024
c48a3c7
fix
tianshuo78520a Sep 27, 2024
384df6a
fix paddlex
tianshuo78520a Oct 9, 2024
ee6f731
disable resnet50 inference
tianshuo78520a Oct 9, 2024
1e0ac5d
Fix device
tianshuo78520a Oct 10, 2024
834b0c9
Test
tianshuo78520a Dec 17, 2024
3e5d039
Merge branch 'develop' of https://github.com/PaddlePaddle/Paddle into…
tianshuo78520a Dec 17, 2024
50ab578
update
tianshuo78520a Dec 18, 2024
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50 changes: 50 additions & 0 deletions paddle/scripts/paddle_build.sh
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Original file line number Diff line number Diff line change
Expand Up @@ -2720,6 +2720,55 @@ set -x
fi
}


function hybrid_paddlex() {
# PaddleX test
export DEVICE=($(echo $HIP_VISIBLE_DEVICES | tr "," "\n"))
git clone --depth=1000 https://gitee.com/paddlepaddle/PaddleX.git
cd PaddleX
pip install -e .
paddlex --install PaddleClas
paddlex --install PaddleSeg
wget -q https://paddle-model-ecology.bj.bcebos.com/paddlex/data/cls_flowers_examples.tar -P ./dataset
tar -xf ./dataset/cls_flowers_examples.tar -C ./dataset/
wget https://paddle-model-ecology.bj.bcebos.com/paddlex/data/seg_optic_examples.tar -P ./dataset
tar -xf ./dataset/seg_optic_examples.tar -C ./dataset/

# train Reset50
echo "Start Reset50"
python main.py -c paddlex/configs/image_classification/ResNet50.yaml \
-o Global.mode=train \
-o Global.dataset_dir=./dataset/cls_flowers_examples \
-o Global.output=resnet50_output \
-o Global.device="gpu:${HIP_VISIBLE_DEVICES}" \
-o Train.epochs_iters=2

# inference Reset50
python main.py -c paddlex/configs/image_classification/ResNet50.yaml \
-o Global.mode=predict \
-o Predict.model_dir="./resnet50_output/best_model/inference" \
-o Global.device="gpu:${DEVICE[0]}"
echo "End Reset50"

echo "Start DeepLabv3+"
# train DeepLabv3+
python main.py -c paddlex/configs/semantic_segmentation/Deeplabv3_Plus-R50.yaml \
-o Global.mode=train \
-o Global.dataset_dir=./dataset/seg_optic_examples \
-o Global.output=deeplabv3p_output \
-o Global.device="gpu:${HIP_VISIBLE_DEVICES}" \
-o Train.epochs_iters=2

# inference DeepLabv3+
python main.py -c paddlex/configs/semantic_segmentation/Deeplabv3_Plus-R50.yaml \
-o Global.mode=predict \
-o Predict.model_dir="./deeplabv3p_output/best_model/inference" \
-o Global.device="gpu:${DEVICE[0]}"
echo "End DeepLabv3+"

}


function parallel_fa_unit() {
if [ ${WITH_TESTING:-ON} == "ON" ] ; then
cat <<EOF
Expand Down Expand Up @@ -4674,6 +4723,7 @@ function main() {
;;
hyg_dcu_test)
parallel_test
hybrid_paddlex
;;
nv_cicheck_coverage)
parallel_test
Expand Down