set -x PADDLE_ROOT=$1 TURN_ON_MKL=$2 # use MKL or Openblas TEST_GPU_CPU=$3 # test both GPU/CPU mode or only CPU mode DATA_DIR=$4 # dataset TENSORRT_INCLUDE_DIR=$5 # TensorRT header file dir, defalut to /usr/local/TensorRT/include TENSORRT_LIB_DIR=$6 # TensorRT lib file dir, default to /usr/local/TensorRT/lib inference_install_dir=${PADDLE_ROOT}/build/fluid_inference_install_dir cd `dirname $0` current_dir=`pwd` if [ $2 == ON ]; then # You can export yourself if move the install path MKL_LIB=${inference_install_dir}/third_party/install/mklml/lib export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:${MKL_LIB} fi if [ $3 == ON ]; then use_gpu_list='true false' else use_gpu_list='false' fi USE_TENSORRT=OFF if [ -d "$TENSORRT_INCLUDE_DIR" -a -d "$TENSORRT_LIB_DIR" ]; then USE_TENSORRT=ON fi PREFIX=inference-vis-demos%2F URL_ROOT=http://paddlemodels.cdn.bcebos.com/${PREFIX} # download vis_demo data function download() { dir_name=$1 mkdir -p $dir_name cd $dir_name if [[ -e "${PREFIX}${dir_name}.tar.gz" ]]; then echo "${PREFIX}{dir_name}.tar.gz has been downloaded." else wget -q ${URL_ROOT}$dir_name.tar.gz tar xzf *.tar.gz fi cd .. } mkdir -p $DATA_DIR cd $DATA_DIR vis_demo_list='se_resnext50 ocr mobilenet' for vis_demo_name in $vis_demo_list; do download $vis_demo_name done # compile and test the demo cd $current_dir mkdir -p build cd build for WITH_STATIC_LIB in ON OFF; do # -----simple_on_word2vec----- rm -rf * cmake .. -DPADDLE_LIB=${inference_install_dir} \ -DWITH_MKL=$TURN_ON_MKL \ -DDEMO_NAME=simple_on_word2vec \ -DWITH_GPU=$TEST_GPU_CPU \ -DWITH_STATIC_LIB=$WITH_STATIC_LIB \ -DON_INFER=ON make -j word2vec_model=${PADDLE_ROOT}'/build/python/paddle/fluid/tests/book/word2vec.inference.model' if [ -d $word2vec_model ]; then for use_gpu in $use_gpu_list; do ./simple_on_word2vec \ --dirname=$word2vec_model \ --use_gpu=$use_gpu if [ $? -ne 0 ]; then echo "simple_on_word2vec demo runs fail." exit 1 fi done fi # ---------vis_demo--------- rm -rf * cmake .. -DPADDLE_LIB=${inference_install_dir} \ -DWITH_MKL=$TURN_ON_MKL \ -DDEMO_NAME=vis_demo \ -DWITH_GPU=$TEST_GPU_CPU \ -DWITH_STATIC_LIB=$WITH_STATIC_LIB \ -DON_INFER=ON make -j for use_gpu in $use_gpu_list; do for vis_demo_name in $vis_demo_list; do ./vis_demo \ --modeldir=$DATA_DIR/$vis_demo_name/model \ --data=$DATA_DIR/$vis_demo_name/data.txt \ --refer=$DATA_DIR/$vis_demo_name/result.txt \ --use_gpu=$use_gpu if [ $? -ne 0 ]; then echo "vis demo $vis_demo_name runs fail." exit 1 fi done done # --------tensorrt mobilenet------ if [ $USE_TENSORRT == ON -a $TEST_GPU_CPU == ON ]; then rm -rf * cmake .. -DPADDLE_LIB=${inference_install_dir} \ -DWITH_MKL=$TURN_ON_MKL \ -DDEMO_NAME=trt_mobilenet_demo \ -DWITH_GPU=$TEST_GPU_CPU \ -DWITH_STATIC_LIB=$WITH_STATIC_LIB \ -DUSE_TENSORRT=$USE_TENSORRT \ -DTENSORRT_INCLUDE_DIR=$TENSORRT_INCLUDE_DIR \ -DTENSORRT_LIB_DIR=$TENSORRT_LIB_DIR \ -DON_INFER=ON make -j ./trt_mobilenet_demo \ --modeldir=$DATA_DIR/mobilenet/model \ --data=$DATA_DIR/mobilenet/data.txt \ --refer=$DATA_DIR/mobilenet/result.txt fi done set +x