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+"

}

hybrid_paddlex