From e77ba41e996a3638f1ede9ec69f1cbd402e1d84c Mon Sep 17 00:00:00 2001 From: HydrogenSulfate <490868991@qq.com> Date: Wed, 22 Jun 2022 18:21:30 +0800 Subject: [PATCH] fix GPUID setting and LOG_PATH --- deploy/slim/quant_post_static.py | 2 + docs/images/PP-HGNet/PP-HGNet-block.png | Bin 106690 -> 415420 bytes ...normal_normal_infer_cpp_linux_gpu_cpu.txt} | 0 ...rmal_normal_serving_cpp_linux_gpu_cpu.txt} | 0 ...l_normal_serving_python_linux_gpu_cpu.txt} | 0 ..._normal_normal_infer_cpp_linux_gpu_cpu.txt | 18 ++++++ ...ormal_normal_serving_cpp_linux_gpu_cpu.txt | 14 +++++ ...al_normal_serving_python_linux_gpu_cpu.txt | 14 +++++ ..._normal_normal_infer_cpp_linux_gpu_cpu.txt | 18 ++++++ ...ormal_normal_serving_cpp_linux_gpu_cpu.txt | 14 +++++ ...al_normal_serving_python_linux_gpu_cpu.txt | 14 +++++ ..._normal_normal_infer_cpp_linux_gpu_cpu.txt | 18 ++++++ ...ormal_normal_serving_cpp_linux_gpu_cpu.txt | 14 +++++ ...al_normal_serving_python_linux_gpu_cpu.txt | 14 +++++ ..._normal_normal_infer_cpp_linux_gpu_cpu.txt | 18 ++++++ ...ormal_normal_serving_cpp_linux_gpu_cpu.txt | 14 +++++ ...al_normal_serving_python_linux_gpu_cpu.txt | 14 +++++ ...normal_normal_infer_cpp_linux_gpu_cpu.txt} | 0 ...rmal_normal_serving_cpp_linux_gpu_cpu.txt} | 0 ...l_normal_serving_python_linux_gpu_cpu.txt} | 0 ..._normal_normal_infer_cpp_linux_gpu_cpu.txt | 18 ++++++ ...ormal_normal_serving_cpp_linux_gpu_cpu.txt | 14 +++++ ...al_normal_serving_python_linux_gpu_cpu.txt | 14 +++++ test_tipc/docs/test_inference_cpp.md | 56 ++++++++++-------- test_tipc/docs/test_serving_infer_cpp.md | 45 +++++++------- test_tipc/docs/test_serving_infer_python.md | 45 +++++++------- test_tipc/prepare.sh | 2 +- test_tipc/test_inference_cpp.sh | 8 +-- test_tipc/test_serving_infer_python.sh | 2 +- 29 files changed, 318 insertions(+), 72 deletions(-) rename test_tipc/config/MobileNetV3/{MobileNetV3_large_x1_0-KL_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt => MobileNetV3_large_x1_0_KL_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt} (100%) rename test_tipc/config/MobileNetV3/{MobileNetV3_large_x1_0-KL_linux_gpu_normal_normal_serving_cpp_linux_gpu_cpu.txt => MobileNetV3_large_x1_0_KL_linux_gpu_normal_normal_serving_cpp_linux_gpu_cpu.txt} (100%) rename test_tipc/config/MobileNetV3/{MobileNetV3_large_x1_0-KL_linux_gpu_normal_normal_serving_python_linux_gpu_cpu.txt => MobileNetV3_large_x1_0_KL_linux_gpu_normal_normal_serving_python_linux_gpu_cpu.txt} (100%) create mode 100644 test_tipc/config/PP-ShiTu/PPShiTu_general_rec_KL_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt create mode 100644 test_tipc/config/PP-ShiTu/PPShiTu_general_rec_KL_linux_gpu_normal_normal_serving_cpp_linux_gpu_cpu.txt create mode 100644 test_tipc/config/PP-ShiTu/PPShiTu_general_rec_KL_linux_gpu_normal_normal_serving_python_linux_gpu_cpu.txt create mode 100644 test_tipc/config/PPHGNet/PPHGNet_small_KL_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt create mode 100644 test_tipc/config/PPHGNet/PPHGNet_small_KL_linux_gpu_normal_normal_serving_cpp_linux_gpu_cpu.txt create mode 100644 test_tipc/config/PPHGNet/PPHGNet_small_KL_linux_gpu_normal_normal_serving_python_linux_gpu_cpu.txt create mode 100644 test_tipc/config/PPLCNet/PPLCNet_x1_0_KL_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt create mode 100644 test_tipc/config/PPLCNet/PPLCNet_x1_0_KL_linux_gpu_normal_normal_serving_cpp_linux_gpu_cpu.txt create mode 100644 test_tipc/config/PPLCNet/PPLCNet_x1_0_KL_linux_gpu_normal_normal_serving_python_linux_gpu_cpu.txt create mode 100644 test_tipc/config/PPLCNetV2/PPLCNetV2_base_KL_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt create mode 100644 test_tipc/config/PPLCNetV2/PPLCNetV2_base_KL_linux_gpu_normal_normal_serving_cpp_linux_gpu_cpu.txt create mode 100644 test_tipc/config/PPLCNetV2/PPLCNetV2_base_KL_linux_gpu_normal_normal_serving_python_linux_gpu_cpu.txt rename test_tipc/config/ResNet/{ResNet50_vd-KL_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt => ResNet50_vd_KL_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt} (100%) rename test_tipc/config/ResNet/{ResNet50_vd-KL_linux_gpu_normal_normal_serving_cpp_linux_gpu_cpu.txt => ResNet50_vd_KL_linux_gpu_normal_normal_serving_cpp_linux_gpu_cpu.txt} (100%) rename test_tipc/config/ResNet/{ResNet50_vd-KL_linux_gpu_normal_normal_serving_python_linux_gpu_cpu.txt => ResNet50_vd_KL_linux_gpu_normal_normal_serving_python_linux_gpu_cpu.txt} (100%) create mode 100644 test_tipc/config/SwinTransformer/SwinTransformer_tiny_patch4_window7_224_KL_linux_gpu_normal_normal_infer_cpp_linux_gpu_cpu.txt create mode 100644 test_tipc/config/SwinTransformer/SwinTransformer_tiny_patch4_window7_224_KL_linux_gpu_normal_normal_serving_cpp_linux_gpu_cpu.txt create mode 100644 test_tipc/config/SwinTransformer/SwinTransformer_tiny_patch4_window7_224_KL_linux_gpu_normal_normal_serving_python_linux_gpu_cpu.txt diff --git a/deploy/slim/quant_post_static.py b/deploy/slim/quant_post_static.py index 20507c66..4e53b241 100644 --- a/deploy/slim/quant_post_static.py +++ b/deploy/slim/quant_post_static.py @@ -41,6 +41,8 @@ def main(): 'inference.pdmodel')) and os.path.exists( os.path.join(config["Global"]["save_inference_dir"], 'inference.pdiparams')) + if "Query" in config["DataLoader"]["Eval"]: + config["DataLoader"]["Eval"] = config["DataLoader"]["Eval"]["Query"] config["DataLoader"]["Eval"]["sampler"]["batch_size"] = 1 config["DataLoader"]["Eval"]["loader"]["num_workers"] = 0 diff --git a/docs/images/PP-HGNet/PP-HGNet-block.png b/docs/images/PP-HGNet/PP-HGNet-block.png index 56b6d6121739ade55c8f365d574c4de1180b8207..615aa383bb70d9d6a8d3d3e2860bfce3595515a6 100644 GIT binary patch literal 415420 zcmeEtXH-*9*Dt*Y2nb3i3MwMfrAY~hf+)ox+cf(8^*En0GZ!=%x%w>IN%OZA)^YkZSfmd%^E}X9q;O~B0_V!$DvNL0)T%6-} z9P9BXHly9qy&3ObmXUi8&!YON+v%#HY~a~LNrsD1?=v5C?sB~h^@+H6N+(VEtbCTi 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zQC)R*N}z+ZsC!VYLYBpQwGWsGSbv0X$Es8KgG3wyCOd|C_}{F53hdwM3(RDe>Yph_ zO;5vV!AOzy->kp#02o~dI*u%DE<*WL3H6&2kxHNt=_)(_r{ArRHLMh@Uux(3|Au9J zfMtBH9Qtq8KenO&XYQA!wHO|>^Y(6Q{rov`evCxVrcg^rNtKT_GaW--_ zE%$3*8vQprqW?n86&btpFry5a2m9xV?F3O1h&EgQKeGPvSZvXt13qYOTn)PWg9u$f z-2A|&d;UBPG+D5Lz={92DQL3%kwyP+Q~pm<{?{V>|CRchTc0n8UFY?Qzhn*kbNa;D K ./test_tipc/output/ResNet50/cls_cpp_infer_gpu_usetrt_False_precision_fp32_batchsize_1.log 2>&1! -Run successfully with command - ./deploy/cpp/build/clas_system -c inference_cls.yaml > ./test_tipc/output/ResNet50/cls_cpp_infer_cpu_usemkldnn_False_threads_1_precision_fp32_batchsize_1.log 2>&1! +Run successfully with command - ResNet50 - ./deploy/cpp/build/clas_system -c inference_cls.yaml > ./test_tipc/output/ResNet50/cpp_infer/cpp_infer_gpu_usetrt_False_precision_fp32_batchsize_1.log 2>&1! +Run successfully with command - ResNet50 - ./deploy/cpp/build/clas_system -c inference_cls.yaml > ./test_tipc/output/ResNet50/cpp_infer/cpp_infer_cpu_usemkldnn_False_threads_1_precision_fp32_batchsize_1.log 2>&1! ``` 最终log中会打印出结果,如下所示 @@ -308,6 +312,6 @@ Current total inferen time cost: 5449.39 ms. Top5: class_id: 265, score: 0.0420, label: toy poodle ``` -详细log位于`./test_tipc/output/ResNet50/cls_cpp_infer_gpu_usetrt_False_precision_fp32_batchsize_1.log`和`./test_tipc/output/ResNet50/cls_cpp_infer_cpu_usemkldnn_False_threads_1_precision_fp32_batchsize_1.log`中。 +详细log位于`./test_tipc/output/ResNet50/cpp_infer/cpp_infer_gpu_usetrt_False_precision_fp32_batchsize_1.log`和`./test_tipc/output/ResNet50/cpp_infer_cpu_usemkldnn_False_threads_1_precision_fp32_batchsize_1.log`中。 如果运行失败,也会在终端中输出运行失败的日志信息以及对应的运行命令。可以基于该命令,分析运行失败的原因。 diff --git a/test_tipc/docs/test_serving_infer_cpp.md b/test_tipc/docs/test_serving_infer_cpp.md index 2018f4c9..370f96a2 100644 --- a/test_tipc/docs/test_serving_infer_cpp.md +++ b/test_tipc/docs/test_serving_infer_cpp.md @@ -7,26 +7,31 @@ Linux GPU/CPU C++ 服务化部署测试的主程序为`test_serving_infer_cpp.sh - 推理相关: -| 算法名称 | 模型名称 | device_CPU | device_GPU | -| :-------------: | :---------------------------------------: | :--------: | :--------: | -| MobileNetV3 | MobileNetV3_large_x1_0 | 支持 | 支持 | -| MobileNetV3 | MobileNetV3_large_x1_0_KL | 支持 | 支持 | -| PP-ShiTu | PPShiTu_general_rec、PPShiTu_mainbody_det | 支持 | 支持 | -| PPHGNet | PPHGNet_small | 支持 | 支持 | -| PPHGNet | PPHGNet_tiny | 支持 | 支持 | -| PPLCNet | PPLCNet_x0_25 | 支持 | 支持 | -| PPLCNet | PPLCNet_x0_35 | 支持 | 支持 | -| PPLCNet | PPLCNet_x0_5 | 支持 | 支持 | -| PPLCNet | PPLCNet_x0_75 | 支持 | 支持 | -| PPLCNet | PPLCNet_x1_0 | 支持 | 支持 | -| PPLCNet | PPLCNet_x1_5 | 支持 | 支持 | -| PPLCNet | PPLCNet_x2_0 | 支持 | 支持 | -| PPLCNet | PPLCNet_x2_5 | 支持 | 支持 | -| PPLCNetV2 | PPLCNetV2_base | 支持 | 支持 | -| ResNet | ResNet50 | 支持 | 支持 | -| ResNet | ResNet50_vd | 支持 | 支持 | -| ResNet | ResNet50_vd_KL | 支持 | 支持 | -| SwinTransformer | SwinTransformer_tiny_patch4_window7_224 | 支持 | 支持 | +| 算法名称 | 模型名称 | device_CPU | device_GPU | +| :-------------: | :----------------------------------------: | :--------: | :--------: | +| MobileNetV3 | MobileNetV3_large_x1_0 | 支持 | 支持 | +| MobileNetV3 | MobileNetV3_large_x1_0_KL | 支持 | 支持 | +| PP-ShiTu | PPShiTu_general_rec、PPShiTu_mainbody_det | 支持 | 支持 | +| PP-ShiTu | GeneralRecognition_PPLCNet_x2_5_KL | 支持 | 支持 | +| PPHGNet | PPHGNet_small | 支持 | 支持 | +| PPHGNet | PPHGNet_small_KL | 支持 | 支持 | +| PPHGNet | PPHGNet_tiny | 支持 | 支持 | +| PPLCNet | PPLCNet_x0_25 | 支持 | 支持 | +| PPLCNet | PPLCNet_x0_35 | 支持 | 支持 | +| PPLCNet | PPLCNet_x0_5 | 支持 | 支持 | +| PPLCNet | PPLCNet_x0_75 | 支持 | 支持 | +| PPLCNet | PPLCNet_x1_0 | 支持 | 支持 | +| PPLCNet | PPLCNet_x1_0_KL | 支持 | 支持 | +| PPLCNet | PPLCNet_x1_5 | 支持 | 支持 | +| PPLCNet | PPLCNet_x2_0 | 支持 | 支持 | +| PPLCNet | PPLCNet_x2_5 | 支持 | 支持 | +| PPLCNetV2 | PPLCNetV2_base | 支持 | 支持 | +| PPLCNetV2 | PPLCNetV2_base_KL | 支持 | 支持 | +| ResNet | ResNet50 | 支持 | 支持 | +| ResNet | ResNet50_vd | 支持 | 支持 | +| ResNet | ResNet50_vd_KL | 支持 | 支持 | +| SwinTransformer | SwinTransformer_tiny_patch4_window7_224 | 支持 | 支持 | +| SwinTransformer | SwinTransformer_tiny_patch4_window7_224_KL | 支持 | 支持 | ## 2. 测试流程 diff --git a/test_tipc/docs/test_serving_infer_python.md b/test_tipc/docs/test_serving_infer_python.md index 1ba4c151..3662563f 100644 --- a/test_tipc/docs/test_serving_infer_python.md +++ b/test_tipc/docs/test_serving_infer_python.md @@ -7,26 +7,31 @@ Linux GPU/CPU PYTHON 服务化部署测试的主程序为`test_serving_infer_pyt - 推理相关: -| 算法名称 | 模型名称 | device_CPU | device_GPU | -| :-------------: | :---------------------------------------: | :--------: | :--------: | -| MobileNetV3 | MobileNetV3_large_x1_0 | 支持 | 支持 | -| MobileNetV3 | MobileNetV3_large_x1_0_KL | 支持 | 支持 | -| PP-ShiTu | PPShiTu_general_rec、PPShiTu_mainbody_det | 支持 | 支持 | -| PPHGNet | PPHGNet_small | 支持 | 支持 | -| PPHGNet | PPHGNet_tiny | 支持 | 支持 | -| PPLCNet | PPLCNet_x0_25 | 支持 | 支持 | -| PPLCNet | PPLCNet_x0_35 | 支持 | 支持 | -| PPLCNet | PPLCNet_x0_5 | 支持 | 支持 | -| PPLCNet | PPLCNet_x0_75 | 支持 | 支持 | -| PPLCNet | PPLCNet_x1_0 | 支持 | 支持 | -| PPLCNet | PPLCNet_x1_5 | 支持 | 支持 | -| PPLCNet | PPLCNet_x2_0 | 支持 | 支持 | -| PPLCNet | PPLCNet_x2_5 | 支持 | 支持 | -| PPLCNetV2 | PPLCNetV2_base | 支持 | 支持 | -| ResNet | ResNet50 | 支持 | 支持 | -| ResNet | ResNet50_vd | 支持 | 支持 | -| ResNet | ResNet50_vd_KL | 支持 | 支持 | -| SwinTransformer | SwinTransformer_tiny_patch4_window7_224 | 支持 | 支持 | +| 算法名称 | 模型名称 | device_CPU | device_GPU | +| :-------------: | :----------------------------------------: | :--------: | :--------: | +| MobileNetV3 | MobileNetV3_large_x1_0 | 支持 | 支持 | +| MobileNetV3 | MobileNetV3_large_x1_0_KL | 支持 | 支持 | +| PP-ShiTu | PPShiTu_general_rec、PPShiTu_mainbody_det | 支持 | 支持 | +| PP-ShiTu | GeneralRecognition_PPLCNet_x2_5_KL | 支持 | 支持 | +| PPHGNet | PPHGNet_small | 支持 | 支持 | +| PPHGNet | PPHGNet_small_KL | 支持 | 支持 | +| PPHGNet | PPHGNet_tiny | 支持 | 支持 | +| PPLCNet | PPLCNet_x0_25 | 支持 | 支持 | +| PPLCNet | PPLCNet_x0_35 | 支持 | 支持 | +| PPLCNet | PPLCNet_x0_5 | 支持 | 支持 | +| PPLCNet | PPLCNet_x0_75 | 支持 | 支持 | +| PPLCNet | PPLCNet_x1_0 | 支持 | 支持 | +| PPLCNet | PPLCNet_x1_0_KL | 支持 | 支持 | +| PPLCNet | PPLCNet_x1_5 | 支持 | 支持 | +| PPLCNet | PPLCNet_x2_0 | 支持 | 支持 | +| PPLCNet | PPLCNet_x2_5 | 支持 | 支持 | +| PPLCNetV2 | PPLCNetV2_base | 支持 | 支持 | +| PPLCNetV2 | PPLCNetV2_base_KL | 支持 | 支持 | +| ResNet | ResNet50 | 支持 | 支持 | +| ResNet | ResNet50_vd | 支持 | 支持 | +| ResNet | ResNet50_vd_KL | 支持 | 支持 | +| SwinTransformer | SwinTransformer_tiny_patch4_window7_224 | 支持 | 支持 | +| SwinTransformer | SwinTransformer_tiny_patch4_window7_224_KL | 支持 | 支持 | ## 2. 测试流程 diff --git a/test_tipc/prepare.sh b/test_tipc/prepare.sh index 0d12e18d..9b78c0ff 100644 --- a/test_tipc/prepare.sh +++ b/test_tipc/prepare.sh @@ -208,7 +208,7 @@ fi if [[ ${MODE} = "serving_infer" ]]; then # prepare serving env python_name=$(func_parser_value "${lines[2]}") - if [[ ${model_name} =~ "ShiTu" ]]; then + if [[ ${model_name} = "PPShiTu" ]]; then cls_inference_model_url=$(func_parser_value "${lines[3]}") cls_tar_name=$(func_get_url_file_name "${cls_inference_model_url}") det_inference_model_url=$(func_parser_value "${lines[4]}") diff --git a/test_tipc/test_inference_cpp.sh b/test_tipc/test_inference_cpp.sh index ea3ba3f1..255e0839 100644 --- a/test_tipc/test_inference_cpp.sh +++ b/test_tipc/test_inference_cpp.sh @@ -63,7 +63,7 @@ function func_shitu_cpp_inference(){ if [ ${use_mkldnn} = "False" ] && [ ${_flag_quant} = "True" ]; then precison="int8" fi - _save_log_path="${_log_path}/shitu_cpp_infer_cpu_usemkldnn_${use_mkldnn}_threads_${threads}_precision_${precision}_batchsize_${batch_size}.log" + _save_log_path="${_log_path}/cpp_infer_cpu_usemkldnn_${use_mkldnn}_threads_${threads}_precision_${precision}_batchsize_${batch_size}.log" eval $transform_index_cmd command="${generate_yaml_cmd} --type shitu --batch_size ${batch_size} --mkldnn ${use_mkldnn} --gpu ${use_gpu} --cpu_thread ${threads} --tensorrt False --precision ${precision} --data_dir ${_img_dir} --benchmark True --cls_model_dir ${cpp_infer_model_dir} --det_model_dir ${cpp_det_infer_model_dir} --gpu_id ${GPUID}" eval $command @@ -87,7 +87,7 @@ function func_shitu_cpp_inference(){ continue fi for batch_size in ${cpp_batch_size_list[*]}; do - _save_log_path="${_log_path}/shitu_cpp_infer_gpu_usetrt_${use_trt}_precision_${precision}_batchsize_${batch_size}.log" + _save_log_path="${_log_path}/cpp_infer_gpu_usetrt_${use_trt}_precision_${precision}_batchsize_${batch_size}.log" eval $transform_index_cmd command="${generate_yaml_cmd} --type shitu --batch_size ${batch_size} --mkldnn False --gpu ${use_gpu} --cpu_thread 1 --tensorrt ${use_trt} --precision ${precision} --data_dir ${_img_dir} --benchmark True --cls_model_dir ${cpp_infer_model_dir} --det_model_dir ${cpp_det_infer_model_dir} --gpu_id ${GPUID}" eval $command @@ -125,7 +125,7 @@ function func_cls_cpp_inference(){ if [ ${use_mkldnn} = "False" ] && [ ${_flag_quant} = "True" ]; then precison="int8" fi - _save_log_path="${_log_path}/cls_cpp_infer_cpu_usemkldnn_${use_mkldnn}_threads_${threads}_precision_${precision}_batchsize_${batch_size}.log" + _save_log_path="${_log_path}/cpp_infer_cpu_usemkldnn_${use_mkldnn}_threads_${threads}_precision_${precision}_batchsize_${batch_size}.log" command="${generate_yaml_cmd} --type cls --batch_size ${batch_size} --mkldnn ${use_mkldnn} --gpu ${use_gpu} --cpu_thread ${threads} --tensorrt False --precision ${precision} --data_dir ${_img_dir} --benchmark True --cls_model_dir ${cpp_infer_model_dir} --gpu_id ${GPUID}" eval $command @@ -149,7 +149,7 @@ function func_cls_cpp_inference(){ continue fi for batch_size in ${cpp_batch_size_list[*]}; do - _save_log_path="${_log_path}/cls_cpp_infer_gpu_usetrt_${use_trt}_precision_${precision}_batchsize_${batch_size}.log" + _save_log_path="${_log_path}/cpp_infer_gpu_usetrt_${use_trt}_precision_${precision}_batchsize_${batch_size}.log" command="${generate_yaml_cmd} --type cls --batch_size ${batch_size} --mkldnn False --gpu ${use_gpu} --cpu_thread 1 --tensorrt ${use_trt} --precision ${precision} --data_dir ${_img_dir} --benchmark True --cls_model_dir ${cpp_infer_model_dir} --gpu_id ${GPUID}" eval $command command="${_script} > ${_save_log_path} 2>&1" diff --git a/test_tipc/test_serving_infer_python.sh b/test_tipc/test_serving_infer_python.sh index 6141e110..356d0321 100644 --- a/test_tipc/test_serving_infer_python.sh +++ b/test_tipc/test_serving_infer_python.sh @@ -310,7 +310,7 @@ echo "################### run test ###################" export Count=0 IFS="|" -if [[ ${model_name} =~ "ShiTu" ]]; then +if [[ ${model_name} = "PPShiTu" ]]; then func_serving_rec else func_serving_cls -- GitLab