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* add ppcls benchmark * add ppcls benchmark * add ppcls benchmark * add ppcls benchmark * fixed txt path * resolve conflict * resolve conflict * deal with comments * Add enable_trt_fp16 option * Add OV backend for seg and det * fixed valid backends in ppdet * fixed valid backends in yolo * add copyright and rm Chinese Notes * add ppdet&ppseg&yolo benchmark * add cpu/gpu mem info Co-authored-by: Jason <jiangjiajun@baidu.com>
34 lines
1.8 KiB
Bash
34 lines
1.8 KiB
Bash
echo "[FastDeploy] Running PPseg benchmark..."
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num_of_models=$(ls -d ppseg_model/* | wc -l)
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counter=1
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for model in $(ls -d ppseg_model/* )
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do
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echo "[Benchmark-PPseg] ${counter}/${num_of_models} $model ..."
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python benchmark_ppseg.py --model $model --image ILSVRC2012_val_00000010.jpeg --cpu_num_thread 1 --iter_num 2000 --backend ort
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python benchmark_ppseg.py --model $model --image ILSVRC2012_val_00000010.jpeg --cpu_num_thread 8 --iter_num 2000 --backend ort
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python benchmark_ppseg.py --model $model --image ILSVRC2012_val_00000010.jpeg --cpu_num_thread 1 --iter_num 2000 --backend paddle
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python benchmark_ppseg.py --model $model --image ILSVRC2012_val_00000010.jpeg --cpu_num_thread 8 --iter_num 2000 --backend paddle
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python benchmark_ppseg.py --model $model --image ILSVRC2012_val_00000010.jpeg --cpu_num_thread 1 --iter_num 2000 --backend ov
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python benchmark_ppseg.py --model $model --image ILSVRC2012_val_00000010.jpeg --cpu_num_thread 8 --iter_num 2000 --backend ov
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python benchmark_ppseg.py --model $model --image ILSVRC2012_val_00000010.jpeg --device gpu --iter_num 2000 --backend ort
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python benchmark_ppseg.py --model $model --image ILSVRC2012_val_00000010.jpeg --device gpu --iter_num 2000 --backend paddle
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python benchmark_ppseg.py --model $model --image ILSVRC2012_val_00000010.jpeg --device gpu --iter_num 2000 --backend trt
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python benchmark_ppseg.py --model $model --image ILSVRC2012_val_00000010.jpeg --device gpu --iter_num 2000 --backend trt --enable_trt_fp16 True
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counter=$(($counter+1))
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step=$(( $counter % 1 ))
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if [ $step = 0 ]
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then
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wait
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fi
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done
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wait
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rm -rf result_ppseg.txt
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touch result_ppseg.txt
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cat ppseg_model/*.txt >> ./result_ppseg.txt
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python convert_info.py --txt_path result_ppseg.txt --domain ppseg
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