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#!/bin/bash |
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source test_tipc/utils_func.sh |
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FILENAME=$1 |
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MODE="cpp_infer" |
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dataline=$(cat ${FILENAME}) |
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IFS=$'\n' |
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lines=(${dataline}) |
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model_name=$(func_parser_value "${lines[1]}") |
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echo "ppdet cpp_infer: ${model_name}" |
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python=$(func_parser_value "${lines[2]}") |
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filename_key=$(func_parser_key "${lines[3]}") |
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filename_value=$(func_parser_value "${lines[3]}") |
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save_export_key=$(func_parser_key "${lines[5]}") |
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save_export_value=$(func_parser_value "${lines[5]}") |
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export_weight_key=$(func_parser_key "${lines[6]}") |
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export_weight_value=$(func_parser_value "${lines[6]}") |
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norm_export=$(func_parser_value "${lines[7]}") |
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pact_export=$(func_parser_value "${lines[8]}") |
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fpgm_export=$(func_parser_value "${lines[9]}") |
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distill_export=$(func_parser_value "${lines[10]}") |
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export_key1=$(func_parser_key "${lines[11]}") |
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export_value1=$(func_parser_value "${lines[11]}") |
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export_key2=$(func_parser_key "${lines[12]}") |
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export_value2=$(func_parser_value "${lines[12]}") |
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kl_quant_export=$(func_parser_value "${lines[13]}") |
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opencv_dir=$(func_parser_value "${lines[15]}") |
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cpp_infer_mode_list=$(func_parser_value "${lines[16]}") |
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cpp_infer_is_quant_list=$(func_parser_value "${lines[17]}") |
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inference_cmd=$(func_parser_value "${lines[18]}") |
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cpp_use_gpu_key=$(func_parser_key "${lines[19]}") |
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cpp_use_gpu_list=$(func_parser_value "${lines[19]}") |
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cpp_use_mkldnn_key=$(func_parser_key "${lines[20]}") |
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cpp_use_mkldnn_list=$(func_parser_value "${lines[20]}") |
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cpp_cpu_threads_key=$(func_parser_key "${lines[21]}") |
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cpp_cpu_threads_list=$(func_parser_value "${lines[21]}") |
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cpp_batch_size_key=$(func_parser_key "${lines[22]}") |
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cpp_batch_size_list=$(func_parser_value "${lines[22]}") |
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cpp_use_trt_key=$(func_parser_key "${lines[23]}") |
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cpp_use_trt_list=$(func_parser_value "${lines[23]}") |
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cpp_precision_key=$(func_parser_key "${lines[24]}") |
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cpp_precision_list=$(func_parser_value "${lines[24]}") |
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cpp_infer_model_key=$(func_parser_key "${lines[25]}") |
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cpp_image_dir_key=$(func_parser_key "${lines[26]}") |
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cpp_infer_img_dir=$(func_parser_value "${lines[26]}") |
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cpp_benchmark_key=$(func_parser_key "${lines[27]}") |
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cpp_benchmark_value=$(func_parser_value "${lines[27]}") |
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cpp_infer_key1=$(func_parser_key "${lines[28]}") |
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cpp_infer_value1=$(func_parser_value "${lines[28]}") |
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LOG_PATH="./test_tipc/output/${model_name}/${MODE}" |
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mkdir -p ${LOG_PATH} |
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status_log="${LOG_PATH}/results_cpp.log" |
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function func_cpp_inference(){ |
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IFS='|' |
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_script=$1 |
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_model_dir=$2 |
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_log_path=$3 |
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_img_dir=$4 |
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_flag_quant=$5 |
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for use_gpu in ${cpp_use_gpu_list[*]}; do |
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if [ ${use_gpu} = "False" ] || [ ${use_gpu} = "cpu" ]; then |
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for use_mkldnn in ${cpp_use_mkldnn_list[*]}; do |
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if [ ${use_mkldnn} = "False" ] && [ ${_flag_quant} = "True" ]; then |
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continue |
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fi |
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for threads in ${cpp_cpu_threads_list[*]}; do |
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for batch_size in ${cpp_batch_size_list[*]}; do |
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_save_log_path="${_log_path}/cpp_infer_cpu_usemkldnn_${use_mkldnn}_threads_${threads}_mode_paddle_batchsize_${batch_size}.log" |
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set_infer_data=$(func_set_params "${cpp_image_dir_key}" "${_img_dir}") |
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set_benchmark=$(func_set_params "${cpp_benchmark_key}" "${cpp_benchmark_value}") |
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set_batchsize=$(func_set_params "${cpp_batch_size_key}" "${batch_size}") |
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set_cpu_threads=$(func_set_params "${cpp_cpu_threads_key}" "${threads}") |
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set_model_dir=$(func_set_params "${cpp_infer_model_key}" "${_model_dir}") |
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set_infer_params1=$(func_set_params "${cpp_infer_key1}" "${cpp_infer_value1}") |
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command="${_script} ${cpp_use_gpu_key}=${use_gpu} ${cpp_use_mkldnn_key}=${use_mkldnn} ${set_cpu_threads} ${set_model_dir} ${set_batchsize} ${set_infer_data} ${set_benchmark} ${set_infer_params1} > ${_save_log_path} 2>&1 " |
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eval $command |
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last_status=${PIPESTATUS[0]} |
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eval "cat ${_save_log_path}" |
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status_check $last_status "${command}" "${status_log}" "${model_name}" "${_save_log_path}" |
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done |
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done |
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done |
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elif [ ${use_gpu} = "True" ] || [ ${use_gpu} = "gpu" ]; then |
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for precision in ${cpp_precision_list[*]}; do |
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if [[ ${precision} != "paddle" ]]; then |
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if [[ ${_flag_quant} = "False" ]] && [[ ${precision} = "trt_int8" ]]; then |
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continue |
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fi |
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if [[ ${_flag_quant} = "True" ]] && [[ ${precision} != "trt_int8" ]]; then |
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continue |
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fi |
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fi |
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for batch_size in ${cpp_batch_size_list[*]}; do |
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_save_log_path="${_log_path}/cpp_infer_gpu_mode_${precision}_batchsize_${batch_size}.log" |
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set_infer_data=$(func_set_params "${cpp_image_dir_key}" "${_img_dir}") |
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set_benchmark=$(func_set_params "${cpp_benchmark_key}" "${cpp_benchmark_value}") |
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set_batchsize=$(func_set_params "${cpp_batch_size_key}" "${batch_size}") |
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set_precision=$(func_set_params "${cpp_precision_key}" "${precision}") |
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set_model_dir=$(func_set_params "${cpp_infer_model_key}" "${_model_dir}") |
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set_infer_params1=$(func_set_params "${cpp_infer_key1}" "${cpp_infer_value1}") |
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command="${_script} ${cpp_use_gpu_key}=${use_gpu} ${set_precision} ${set_model_dir} ${set_batchsize} ${set_infer_data} ${set_benchmark} ${set_infer_params1} > ${_save_log_path} 2>&1 " |
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eval $command |
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last_status=${PIPESTATUS[0]} |
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eval "cat ${_save_log_path}" |
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status_check $last_status "${command}" "${status_log}" "${model_name}" "${_save_log_path}" |
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done |
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done |
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else |
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echo "Does not support hardware other than CPU and GPU Currently!" |
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fi |
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done |
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} |
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cd ./deploy/cpp |
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if [ ${opencv_dir} = "default" ] || [ ${opencv_dir} = "null" ]; then |
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OPENCV_DIR=$(pwd)/deps/opencv-3.4.16_gcc8.2_ffmpeg |
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else |
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OPENCV_DIR=${opencv_dir} |
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fi |
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if [ -z $PADDLE_INFER_DIR ]; then |
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Paddle_Infer_Link=$2 |
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if [ "" = "$Paddle_Infer_Link" ];then |
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wget -nc https://paddle-inference-lib.bj.bcebos.com/2.2.2/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 |
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tar zxf paddle_inference.tgz |
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PADDLE_INFER_DIR=$(pwd)/paddle_inference |
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else |
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wget -nc $Paddle_Infer_Link --no-check-certificate |
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tar zxf paddle_inference.tgz |
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PADDLE_INFER_DIR=$(pwd)/paddle_inference |
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if [ ! -d "paddle_inference" ]; then |
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PADDLE_INFER_DIR=$(pwd)/paddle_inference_install_dir |
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fi |
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fi |
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fi |
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if [ -z $TENSORRT_ROOT ]; then |
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TENSORRT_ROOT=/usr/local/TensorRT6-cuda10.1-cudnn7 |
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fi |
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CUDA_LIB=$(dirname `find /usr -name libcudart.so`) |
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CUDNN_LIB=$(dirname `find /usr -name libcudnn.so`) |
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TENSORRT_LIB_DIR="${TENSORRT_ROOT}/lib" |
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TENSORRT_INC_DIR="${TENSORRT_ROOT}/include" |
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rm -rf build |
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mkdir -p build |
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cd ./build |
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cmake .. \ |
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-DWITH_GPU=ON \ |
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-DWITH_MKL=ON \ |
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-DWITH_TENSORRT=OFF \ |
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-DPADDLE_LIB_NAME=libpaddle_inference \ |
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-DPADDLE_DIR=${PADDLE_INFER_DIR} \ |
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-DCUDA_LIB=${CUDA_LIB} \ |
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-DCUDNN_LIB=${CUDNN_LIB} \ |
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-DTENSORRT_LIB_DIR=${TENSORRT_LIB_DIR} \ |
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-DTENSORRT_INC_DIR=${TENSORRT_INC_DIR} \ |
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-DOPENCV_DIR=${OPENCV_DIR} \ |
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-DWITH_KEYPOINT=ON \ |
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-DWITH_MOT=ON |
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make -j8 |
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cd ../../../ |
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echo "################### build finished! ###################" |
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GPUID=$3 |
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if [ ${#GPUID} -le 0 ];then |
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env=" " |
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else |
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env="export CUDA_VISIBLE_DEVICES=${GPUID}" |
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fi |
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eval $env |
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Count=0 |
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IFS="|" |
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infer_quant_flag=(${cpp_infer_is_quant_list}) |
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for infer_mode in ${cpp_infer_mode_list[*]}; do |
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if [ ${infer_mode} != "null" ]; then |
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case ${infer_mode} in |
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norm) run_export=${norm_export} ;; |
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quant) run_export=${pact_export} ;; |
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fpgm) run_export=${fpgm_export} ;; |
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distill) run_export=${distill_export} ;; |
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kl_quant) run_export=${kl_quant_export} ;; |
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*) echo "Undefined infer_mode!"; exit 1; |
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esac |
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set_export_weight=$(func_set_params "${export_weight_key}" "${export_weight_value}") |
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set_save_export_dir=$(func_set_params "${save_export_key}" "${save_export_value}") |
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set_filename=$(func_set_params "${filename_key}" "${model_name}") |
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export_log_path="${LOG_PATH}/export.log" |
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export_cmd="${python} ${run_export} ${set_export_weight} ${set_filename} ${set_save_export_dir} " |
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echo $export_cmd |
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eval "${export_cmd} > ${export_log_path} 2>&1" |
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status_export=$? |
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cat ${export_log_path} |
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status_check $status_export "${export_cmd}" "${status_log}" "${model_name}" "${export_log_path}" |
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fi |
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save_export_model_dir="${save_export_value}/${model_name}" |
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is_quant=${infer_quant_flag[Count]} |
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func_cpp_inference "${inference_cmd}" "${save_export_model_dir}" "${LOG_PATH}" "${cpp_infer_img_dir}" ${is_quant} |
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Count=$(($Count + 1)) |
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done |
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eval "unset CUDA_VISIBLE_DEVICES" |
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