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	66f059b65b
	
	
	
		
			
			* add GPL lisence * add GPL-3.0 lisence * add GPL-3.0 lisence * add GPL-3.0 lisence * support yolov8 * add pybind for yolov8 * add yolov8 readme * add cpp benchmark * add cpu and gpu mem * public part split * add runtime mode * fixed bugs * add cpu_thread_nums * deal with comments * deal with comments * deal with comments * rm useless code * add FASTDEPLOY_DECL * add FASTDEPLOY_DECL * fixed for windows * mv rss to pss * mv rss to pss * Update utils.cc --------- Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com>
		
			
				
	
	
		
			36 lines
		
	
	
		
			2.5 KiB
		
	
	
	
		
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			36 lines
		
	
	
		
			2.5 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 --enable_collect_memory_info True
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|     python benchmark_ppcls.py --model $model --image ILSVRC2012_val_00000010.jpeg --cpu_num_thread 8 --iter_num 2000 --backend ort --enable_collect_memory_info True
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|     python benchmark_ppcls.py --model $model --image ILSVRC2012_val_00000010.jpeg --cpu_num_thread 1 --iter_num 2000 --backend paddle --enable_collect_memory_info True
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|     python benchmark_ppcls.py --model $model --image ILSVRC2012_val_00000010.jpeg --cpu_num_thread 8 --iter_num 2000 --backend paddle --enable_collect_memory_info True
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|     python benchmark_ppcls.py --model $model --image ILSVRC2012_val_00000010.jpeg --cpu_num_thread 1 --iter_num 2000 --backend ov --enable_collect_memory_info True
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|     python benchmark_ppcls.py --model $model --image ILSVRC2012_val_00000010.jpeg --cpu_num_thread 8 --iter_num 2000 --backend ov --enable_collect_memory_info True
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|     python benchmark_ppcls.py --model $model --image ILSVRC2012_val_00000010.jpeg --device gpu --iter_num 2000 --backend ort --enable_collect_memory_info True
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|     python benchmark_ppcls.py --model $model --image ILSVRC2012_val_00000010.jpeg --device gpu --iter_num 2000 --backend paddle --enable_collect_memory_info True
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|     python benchmark_ppcls.py --model $model --image ILSVRC2012_val_00000010.jpeg --device gpu --iter_num 2000 --backend paddle_trt --enable_collect_memory_info True
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|     python benchmark_ppcls.py --model $model --image ILSVRC2012_val_00000010.jpeg --device gpu --iter_num 2000 --backend paddle_trt --enable_trt_fp16 True --enable_collect_memory_info True
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|     python benchmark_ppcls.py --model $model --image ILSVRC2012_val_00000010.jpeg --device gpu --iter_num 2000 --backend trt --enable_collect_memory_info True
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|     python benchmark_ppcls.py --model $model --image ILSVRC2012_val_00000010.jpeg --device gpu --iter_num 2000 --backend trt --enable_trt_fp16 True --enable_collect_memory_info True
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|     counter=$(($counter+1))
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|     step=$(( $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 --enable_collect_memory_info True
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