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	06908b8beb
	
	
	
		
			
			* 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 PPcls benchmark..."
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| 
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| num_of_models=$(ls -d ppcls_model/* | wc -l)
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| 
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| counter=1
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| for model in $(ls -d ppcls_model/* )
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| do
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|     echo "[Benchmark-PPcls] ${counter}/${num_of_models} $model ..."
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|     python benchmark_ppcls.py --model $model --image ILSVRC2012_val_00000010.jpeg --cpu_num_thread 1 --iter_num 2000 --backend ort
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|     python benchmark_ppcls.py --model $model --image ILSVRC2012_val_00000010.jpeg --cpu_num_thread 8 --iter_num 2000 --backend ort
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|     python benchmark_ppcls.py --model $model --image ILSVRC2012_val_00000010.jpeg --cpu_num_thread 1 --iter_num 2000 --backend paddle
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|     python benchmark_ppcls.py --model $model --image ILSVRC2012_val_00000010.jpeg --cpu_num_thread 8 --iter_num 2000 --backend paddle
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|     python benchmark_ppcls.py --model $model --image ILSVRC2012_val_00000010.jpeg --cpu_num_thread 1 --iter_num 2000 --backend ov
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|     python benchmark_ppcls.py --model $model --image ILSVRC2012_val_00000010.jpeg --cpu_num_thread 8 --iter_num 2000 --backend ov
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|     python benchmark_ppcls.py --model $model --image ILSVRC2012_val_00000010.jpeg --device gpu --iter_num 2000 --backend ort
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|     python benchmark_ppcls.py --model $model --image ILSVRC2012_val_00000010.jpeg --device gpu --iter_num 2000 --backend paddle
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|     python benchmark_ppcls.py --model $model --image ILSVRC2012_val_00000010.jpeg --device gpu --iter_num 2000 --backend trt
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|     python benchmark_ppcls.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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| 
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| wait
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| 
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| rm -rf result_ppcls.txt
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| touch result_ppcls.txt
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| cat ppcls_model/*.txt >> ./result_ppcls.txt
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| 
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| python convert_info.py --txt_path result_ppcls.txt --domain ppcls
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