| #!/bin/bash |
| source test_tipc/common_func.sh |
|
|
| FILENAME=$1 |
| dataline=$(awk 'NR==1, NR==20{print}' $FILENAME) |
|
|
| |
| IFS=$'\n' |
| lines=(${dataline}) |
|
|
| |
| model_name=$(func_parser_value "${lines[1]}") |
| use_opencv=$(func_parser_value "${lines[2]}") |
| cpp_infer_model_dir_list=$(func_parser_value "${lines[3]}") |
| cpp_infer_is_quant=$(func_parser_value "${lines[4]}") |
| |
| inference_cmd=$(func_parser_value "${lines[5]}") |
| cpp_use_gpu_key=$(func_parser_key "${lines[6]}") |
| cpp_use_gpu_list=$(func_parser_value "${lines[6]}") |
| cpp_use_mkldnn_key=$(func_parser_key "${lines[7]}") |
| cpp_use_mkldnn_list=$(func_parser_value "${lines[7]}") |
| cpp_cpu_threads_key=$(func_parser_key "${lines[8]}") |
| cpp_cpu_threads_list=$(func_parser_value "${lines[8]}") |
| cpp_batch_size_key=$(func_parser_key "${lines[9]}") |
| cpp_batch_size_list=$(func_parser_value "${lines[9]}") |
| cpp_use_trt_key=$(func_parser_key "${lines[10]}") |
| cpp_use_trt_list=$(func_parser_value "${lines[10]}") |
| cpp_precision_key=$(func_parser_key "${lines[11]}") |
| cpp_precision_list=$(func_parser_value "${lines[11]}") |
| cpp_infer_model_key=$(func_parser_key "${lines[12]}") |
| cpp_image_dir_key=$(func_parser_key "${lines[13]}") |
| cpp_infer_img_dir=$(func_parser_value "${lines[13]}") |
| cpp_infer_key1=$(func_parser_key "${lines[14]}") |
| cpp_infer_value1=$(func_parser_value "${lines[14]}") |
| cpp_benchmark_key=$(func_parser_key "${lines[15]}") |
| cpp_benchmark_value=$(func_parser_value "${lines[15]}") |
| cpp_det_key=$(func_parser_key "${lines[16]}") |
| cpp_det_value=$(func_parser_value "${lines[16]}") |
| cpp_rec_key=$(func_parser_key "${lines[17]}") |
| cpp_rec_value=$(func_parser_value "${lines[17]}") |
| cpp_cls_key=$(func_parser_key "${lines[18]}") |
| cpp_cls_value=$(func_parser_value "${lines[18]}") |
| cpp_use_angle_cls_key=$(func_parser_key "${lines[19]}") |
| cpp_use_angle_cls_value=$(func_parser_value "${lines[19]}") |
|
|
| LOG_PATH="./test_tipc/output/${model_name}/cpp_infer" |
| mkdir -p ${LOG_PATH} |
| status_log="${LOG_PATH}/results_cpp.log" |
|
|
|
|
| function func_cpp_inference(){ |
| IFS='|' |
| _script=$1 |
| _model_dir=$2 |
| _log_path=$3 |
| _img_dir=$4 |
| _flag_quant=$5 |
| |
| for use_gpu in ${cpp_use_gpu_list[*]}; do |
| if [ ${use_gpu} = "False" ] || [ ${use_gpu} = "cpu" ]; then |
| for use_mkldnn in ${cpp_use_mkldnn_list[*]}; do |
| if [ ${use_mkldnn} = "False" ] && [ ${_flag_quant} = "True" ]; then |
| continue |
| fi |
| for threads in ${cpp_cpu_threads_list[*]}; do |
| for batch_size in ${cpp_batch_size_list[*]}; do |
| precision="fp32" |
| if [ ${use_mkldnn} = "False" ] && [ ${_flag_quant} = "True" ]; then |
| precision="int8" |
| fi |
| _save_log_path="${_log_path}/cpp_infer_cpu_usemkldnn_${use_mkldnn}_threads_${threads}_precision_${precision}_batchsize_${batch_size}.log" |
| set_infer_data=$(func_set_params "${cpp_image_dir_key}" "${_img_dir}") |
| set_benchmark=$(func_set_params "${cpp_benchmark_key}" "${cpp_benchmark_value}") |
| set_batchsize=$(func_set_params "${cpp_batch_size_key}" "${batch_size}") |
| set_mkldnn=$(func_set_params "${cpp_use_mkldnn_key}" "${use_mkldnn}") |
| set_cpu_threads=$(func_set_params "${cpp_cpu_threads_key}" "${threads}") |
| set_model_dir=$(func_set_params "${cpp_infer_model_key}" "${_model_dir}") |
| set_infer_params1=$(func_set_params "${cpp_infer_key1}" "${cpp_infer_value1}") |
| set_det=$(func_set_params "${cpp_det_key}" "${cpp_det_value}") |
| set_rec=$(func_set_params "${cpp_rec_key}" "${cpp_rec_value}") |
| set_cls=$(func_set_params "${cpp_cls_key}" "${cpp_cls_value}") |
| set_use_angle_cls=$(func_set_params "${cpp_use_angle_cls_key}" "${cpp_use_angle_cls_value}") |
| command="${_script} ${cpp_use_gpu_key}=${use_gpu} ${set_mkldnn} ${set_cpu_threads} ${set_model_dir} ${set_batchsize} ${set_infer_data} ${set_benchmark} ${set_det} ${set_rec} ${set_cls} ${set_use_angle_cls} ${set_infer_params1} > ${_save_log_path} 2>&1 " |
| eval $command |
| last_status=${PIPESTATUS[0]} |
| eval "cat ${_save_log_path}" |
| status_check $last_status "${command}" "${status_log}" "${model_name}" "${_save_log_path}" |
| done |
| done |
| done |
| elif [ ${use_gpu} = "True" ] || [ ${use_gpu} = "gpu" ]; then |
| for use_trt in ${cpp_use_trt_list[*]}; do |
| for precision in ${cpp_precision_list[*]}; do |
| if [[ ${_flag_quant} = "False" ]] && [[ ${precision} =~ "int8" ]]; then |
| continue |
| fi |
| if [[ ${precision} =~ "fp16" || ${precision} =~ "int8" ]] && [ ${use_trt} = "False" ]; then |
| continue |
| fi |
| if [[ ${use_trt} = "False" || ${precision} =~ "int8" ]] && [ ${_flag_quant} = "True" ]; then |
| continue |
| fi |
| for batch_size in ${cpp_batch_size_list[*]}; do |
| _save_log_path="${_log_path}/cpp_infer_gpu_usetrt_${use_trt}_precision_${precision}_batchsize_${batch_size}.log" |
| set_infer_data=$(func_set_params "${cpp_image_dir_key}" "${_img_dir}") |
| set_benchmark=$(func_set_params "${cpp_benchmark_key}" "${cpp_benchmark_value}") |
| set_batchsize=$(func_set_params "${cpp_batch_size_key}" "${batch_size}") |
| set_tensorrt=$(func_set_params "${cpp_use_trt_key}" "${use_trt}") |
| set_precision=$(func_set_params "${cpp_precision_key}" "${precision}") |
| set_model_dir=$(func_set_params "${cpp_infer_model_key}" "${_model_dir}") |
| set_infer_params1=$(func_set_params "${cpp_infer_key1}" "${cpp_infer_value1}") |
| set_det=$(func_set_params "${cpp_det_key}" "${cpp_det_value}") |
| set_rec=$(func_set_params "${cpp_rec_key}" "${cpp_rec_value}") |
| set_cls=$(func_set_params "${cpp_cls_key}" "${cpp_cls_value}") |
| set_use_angle_cls=$(func_set_params "${cpp_use_angle_cls_key}" "${cpp_use_angle_cls_value}") |
| command="${_script} ${cpp_use_gpu_key}=${use_gpu} ${set_tensorrt} ${set_precision} ${set_model_dir} ${set_batchsize} ${set_infer_data} ${set_benchmark} ${set_det} ${set_rec} ${set_cls} ${set_use_angle_cls} ${set_infer_params1} > ${_save_log_path} 2>&1 " |
| eval $command |
| last_status=${PIPESTATUS[0]} |
| eval "cat ${_save_log_path}" |
| status_check $last_status "${command}" "${status_log}" "${model_name}" "${_save_log_path}" |
| |
| done |
| done |
| done |
| else |
| echo "Does not support hardware other than CPU and GPU Currently!" |
| fi |
| done |
| } |
|
|
|
|
| cd deploy/cpp_infer |
| if [ ${use_opencv} = "True" ]; then |
| if [ -d "opencv-3.4.7/opencv3/" ] && [ $(md5sum opencv-3.4.7.tar.gz | awk -F ' ' '{print $1}') = "faa2b5950f8bee3f03118e600c74746a" ];then |
| echo "################### build opencv skipped ###################" |
| else |
| echo "################### build opencv ###################" |
| rm -rf opencv-3.4.7.tar.gz opencv-3.4.7/ |
| wget https://paddleocr.bj.bcebos.com/dygraph_v2.0/test/opencv-3.4.7.tar.gz |
| tar -xf opencv-3.4.7.tar.gz |
|
|
| cd opencv-3.4.7/ |
| install_path=$(pwd)/opencv3 |
|
|
| rm -rf build |
| mkdir build |
| cd build |
|
|
| cmake .. \ |
| -DCMAKE_INSTALL_PREFIX=${install_path} \ |
| -DCMAKE_BUILD_TYPE=Release \ |
| -DBUILD_SHARED_LIBS=OFF \ |
| -DWITH_IPP=OFF \ |
| -DBUILD_IPP_IW=OFF \ |
| -DWITH_LAPACK=OFF \ |
| -DWITH_EIGEN=OFF \ |
| -DCMAKE_INSTALL_LIBDIR=lib64 \ |
| -DWITH_ZLIB=ON \ |
| -DBUILD_ZLIB=ON \ |
| -DWITH_JPEG=ON \ |
| -DBUILD_JPEG=ON \ |
| -DWITH_PNG=ON \ |
| -DBUILD_PNG=ON \ |
| -DWITH_TIFF=ON \ |
| -DBUILD_TIFF=ON |
|
|
| make -j |
| make install |
| cd ../.. |
| echo "################### build opencv finished ###################" |
| fi |
| fi |
|
|
|
|
| echo "################### build PaddleOCR demo ####################" |
| if [ ${use_opencv} = "True" ]; then |
| OPENCV_DIR=$(pwd)/opencv-3.4.7/opencv3/ |
| else |
| OPENCV_DIR='' |
| fi |
| if [ -d "paddle_inference/" ] ;then |
| echo "################### download paddle inference skipped ###################" |
| else |
| echo "################### download paddle inference ###################" |
| PADDLEInfer=$3 |
| if [ "" = "$PADDLEInfer" ];then |
| wget -nc https://paddle-inference-lib.bj.bcebos.com/2.3.0/cxx_c/Linux/GPU/x86-64_gcc8.2_avx_mkl_cuda10.1_cudnn7.6.5_trt6.0.1.5/paddle_inference.tgz --no-check-certificate |
| else |
| wget -nc $PADDLEInfer --no-check-certificate |
| fi |
| tar zxf paddle_inference.tgz |
| if [ ! -d "paddle_inference" ]; then |
| ln -s paddle_inference_install_dir paddle_inference |
| fi |
| echo "################### download paddle inference finished ###################" |
| fi |
| LIB_DIR=$(pwd)/paddle_inference/ |
| CUDA_LIB_DIR=$(dirname `find /usr -name libcudart.so`) |
| CUDNN_LIB_DIR=$(dirname `find /usr -name libcudnn.so`) |
|
|
| BUILD_DIR=build |
| rm -rf ${BUILD_DIR} |
| mkdir ${BUILD_DIR} |
| cd ${BUILD_DIR} |
| cmake .. \ |
| -DPADDLE_LIB=${LIB_DIR} \ |
| -DWITH_MKL=ON \ |
| -DWITH_GPU=OFF \ |
| -DWITH_STATIC_LIB=OFF \ |
| -DWITH_TENSORRT=OFF \ |
| -DOPENCV_DIR=${OPENCV_DIR} \ |
| -DCUDNN_LIB=${CUDNN_LIB_DIR} \ |
| -DCUDA_LIB=${CUDA_LIB_DIR} \ |
| -DTENSORRT_DIR=${TENSORRT_DIR} \ |
|
|
| make -j |
| cd ../../../ |
| echo "################### build PaddleOCR demo finished ###################" |
|
|
|
|
| |
| GPUID=$2 |
| if [ ${#GPUID} -le 0 ];then |
| env="export CUDA_VISIBLE_DEVICES=0" |
| else |
| env="export CUDA_VISIBLE_DEVICES=${GPUID}" |
| fi |
| eval $env |
|
|
|
|
| echo "################### run test ###################" |
| export Count=0 |
| IFS="|" |
| infer_quant_flag=(${cpp_infer_is_quant}) |
| for infer_model in ${cpp_infer_model_dir_list[*]}; do |
| |
| is_quant=${infer_quant_flag[Count]} |
| func_cpp_inference "${inference_cmd}" "${infer_model}" "${LOG_PATH}" "${cpp_infer_img_dir}" ${is_quant} |
| Count=$(($Count + 1)) |
| done |
|
|
