diff --git a/mindspore/lite/test/models_caffe.cfg b/mindspore/lite/test/models_caffe.cfg index ba080fc8a02..7d1eeabbd58 100644 --- a/mindspore/lite/test/models_caffe.cfg +++ b/mindspore/lite/test/models_caffe.cfg @@ -108,4 +108,11 @@ ml_hand_3d_regression ml_ARengine23_bodypose ml_ocr_bank_card_detection_inception ml_ocr_bank_card_recognition_fcny -hiai_cv_aestheticsEngineModel_osp \ No newline at end of file +hiai_cv_aestheticsEngineModel_osp +bank_card_recognition_fcny +bank_card_detection_inception +ml_ocr_identify_card_fcny +ml_ocr_identify_card_detect +identify_card_detect +ml_2012_ocr_rec_caffe +ml_2012_ocr_detection_caffe diff --git a/mindspore/lite/test/models_caffe_fp16.cfg b/mindspore/lite/test/models_caffe_fp16.cfg index edc16e2b92e..976c29386a6 100644 --- a/mindspore/lite/test/models_caffe_fp16.cfg +++ b/mindspore/lite/test/models_caffe_fp16.cfg @@ -103,4 +103,12 @@ ml_hand_3d_regression 3 ml_ARengine23_bodypose 56 ml_ocr_bank_card_detection_inception 20 ml_ocr_bank_card_recognition_fcny 0.5 -hiai_cv_aestheticsEngineModel_osp 1.1 \ No newline at end of file +hiai_cv_aestheticsEngineModel_osp 1.5 +ml_face_hat 0.5 +bank_card_recognition_fcny 17 +bank_card_detection_inception 12 +ml_ocr_identify_card_fcny 0.5 +ml_ocr_identify_card_detect 2 +identify_card_detect 0.5 +ml_2012_ocr_detection_caffe 1 +ml_2012_ocr_rec_caffe 0.5 diff --git a/mindspore/lite/test/models_onnx.cfg b/mindspore/lite/test/models_onnx.cfg index af724b6839a..4998f57b1c8 100644 --- a/mindspore/lite/test/models_onnx.cfg +++ b/mindspore/lite/test/models_onnx.cfg @@ -71,3 +71,4 @@ mtk_detect_mbv1_640_480_nopostprocess_simplified_onnx.onnx;1,480,640,3 mtk_face_features_v2.onnx;1,256,192,3 mtk_face_recognition_v3.onnx mtk_face_recognition_v2.onnx +ml_2012_ocr_detection.onnx diff --git a/mindspore/lite/test/models_onnx_fp16.cfg b/mindspore/lite/test/models_onnx_fp16.cfg index c6bb8b00e20..96c132f670c 100644 --- a/mindspore/lite/test/models_onnx_fp16.cfg +++ b/mindspore/lite/test/models_onnx_fp16.cfg @@ -60,14 +60,15 @@ ml_location_lane_counter.onnx 6 #The encoder an decoder model are used in ml_asr scene, both have value overflow. Not suitable for fp16. #But added for guarding process. encoder.onnx;1,32,83 1262 -mtk_emotions-d2012-75.onnx 4.73 -mtk_detect-mbv1-shortcut-400-400.onnx 0.042 -mtk_detect-mbv2-shortcut-400-400.onnx 0.1 -mtk_detect_mbv1_640_480.onnx 0.07 -mtk_detect-deeper-halfdeeper-mbv1-shortcut-400-400_nopostprocess_simplified_onnx.onnx 1.52 -mtk_detect-mbv1-shortcut-400-400_nopostprocess_simplified_onnx.onnx 6.2 -mtk_detect-deeper-halfdeeper-mbv1-lastearlySSD-shortcut-400-400_nopostprocess_simplified_onnx.onnx 2.2 -mtk_detect_mbv1_640_480_nopostprocess_simplified_onnx.onnx;1,480,640,3 1.8 -mtk_face_features_v2.onnx;1,256,192,3 0.04 -mtk_face_recognition_v3.onnx 0.21 -mtk_face_recognition_v2.onnx 2.45 \ No newline at end of file +mtk_emotions-d2012-75.onnx 5 +mtk_detect-mbv1-shortcut-400-400.onnx 0.5 +mtk_detect-mbv2-shortcut-400-400.onnx 0.5 +mtk_detect_mbv1_640_480.onnx 0.5 +mtk_detect-deeper-halfdeeper-mbv1-shortcut-400-400_nopostprocess_simplified_onnx.onnx 2 +mtk_detect-mbv1-shortcut-400-400_nopostprocess_simplified_onnx.onnx 6.5 +mtk_detect-deeper-halfdeeper-mbv1-lastearlySSD-shortcut-400-400_nopostprocess_simplified_onnx.onnx 2.5 +mtk_detect_mbv1_640_480_nopostprocess_simplified_onnx.onnx;1,480,640,3 2 +mtk_face_features_v2.onnx;1,256,192,3 0.5 +mtk_face_recognition_v3.onnx 0.5 +mtk_face_recognition_v2.onnx 2.5 +ml_2012_ocr_detection.onnx 0.5 diff --git a/mindspore/lite/test/models_tf.cfg b/mindspore/lite/test/models_tf.cfg index 53bf2bfb8bf..032e222b90d 100644 --- a/mindspore/lite/test/models_tf.cfg +++ b/mindspore/lite/test/models_tf.cfg @@ -1,66 +1,59 @@ -decoder_step_201217.pb 5 -decoder_step_201217_modified.pb 5 -unet_model_reconstruct.pb 1;1,256,256,3 -encoder_201228.pb 3;1:1,22:1 -female_model_step2_int16_noiseout.pb 66 -encoder_0111_control_flow.pb 4;1:1,44:1:1 -encoder_0111.pb 4;1:1,44:1:1 -ml_video_edit_generate_filter.pb 1 -densenet.pb 1;1,224,224,3 -inception_resnet_v2.pb 1;1,299,299,3 -inception_v3.pb 1;1,299,299,3 -inception_v4.pb 1;1,299,299,3 -mnasnet_1.0_224.pb 1 -mnasnet_1.3_224.pb 1 -mobilenet_v1_0.25_128_frozen.pb 1;1,128,128,3 -mobilenet_v2_1.0_224_frozen.pb 1;1,224,224,3 -nasnet_large.pb 1;1,331,331,3 -nasnet_mobile.pb 1;1,224,224,3 -squeezenet.pb 1;1,224,224,3 -ml_ei_headpose.pb 1;1,64,64,3 -ml_ei_landmark.pb 1;1,160,160,3 -ml_face_openclose.pb 1;1,32,32,3 -ml_object_detect.pb 1;1,288,288,3 -ml_ocr_jk.pb 1 -ml_video_edit_enhance.pb 1 -ml_vision_guide_detection1.pb 1 -ml_vision_guide_detection3.pb 1 -scan_hms_angle.pb 1 -scan_hms_detect.pb 1 -hiai_AADB_HADB_MBV2_model.pb 1;1,224,224,3 -hiai_cn_recognize_modify_padv2.pb 1;1,32,512,1 -hiai_cpu_face_emotion.pb 1 -hiai_cpu_face_gazing.pb 1 -hiai_cpu_face_headpose.pb 1 -hiai_ctpn_feature_map.pb 1 -hiai_cv_focusShootOCRModel_02.pb 1 -hiai_cv_focusShootOCRModel_08.pb 1 -hiai_cv_poseEstimation.pb 1 -hiai_detectmodel_06_23_960_480_1180700.pb 1 -hiai_dress_detect.pb 1;1,960,960,3 -hiai_face_model_npu.pb 1 -hiai_frozen_inference_graph.pb 1;1,300,300,3 -hiai_ghostnet.pb 1 -hiai_iMaxDN_RGB.pb 1 -hiai_iMaxSR_RGB.pb 1 -hiai_label_and_video.pb 1;1,224,224,3 -hiai_latin_ocr.pb 1 -hiai_latin_ocr_1.pb 1 -hiai_lm_inference_graph.pb 1 -hiai_model_0909_kd_rot_ps_softmax.pb 1;1,224,224,3 -hiai_PoseEstimation_Pcm.pb 1 -model_normalize_object_scene_ps_20200519.pb 1;1,224,224,3 -mtk_AADB_HADB_MBV2_model.pb 1;1,224,224,3 -mtk_AADB_HADB_MBV3_model.pb 1;1,224,224,3 -mtk_age_gender.pb 1 -mtk_model_ckpt.pb 1 -mtk_model_face_dress.pb 1;1,128,128,3 -mtk_model_normalize_object_scene_ps_20200519.pb 1;1,224,224,3 -ml_ocr_latin.pb 1 -ml_noya_tts_melgan.pb 1;16,16,80 -ml_video_edit_oneclick_adaptis.pb 3 +unet_model_reconstruct.pb;1,256,256,3 +ml_video_edit_generate_filter.pb +densenet.pb;1,224,224,3 +inception_resnet_v2.pb;1,299,299,3 +inception_v3.pb;1,299,299,3 +inception_v4.pb;1,299,299,3 +mnasnet_1.0_224.pb +mnasnet_1.3_224.pb +mobilenet_v1_0.25_128_frozen.pb;1,128,128,3 +mobilenet_v2_1.0_224_frozen.pb;1,224,224,3 +nasnet_large.pb;1,331,331,3 +nasnet_mobile.pb;1,224,224,3 +squeezenet.pb;1,224,224,3 +ml_ei_headpose.pb;1,64,64,3 +ml_ei_landmark.pb;1,160,160,3 +ml_face_openclose.pb;1,32,32,3 +ml_object_detect.pb;1,288,288,3 +ml_ocr_jk.pb +ml_video_edit_enhance.pb +ml_vision_guide_detection1.pb +ml_vision_guide_detection3.pb +scan_hms_angle.pb +scan_hms_detect.pb +hiai_AADB_HADB_MBV2_model.pb;1,224,224,3 +hiai_cn_recognize_modify_padv2.pb;1,32,512,1 +hiai_cpu_face_emotion.pb +hiai_cpu_face_gazing.pb +hiai_cpu_face_headpose.pb +hiai_ctpn_feature_map.pb +hiai_cv_focusShootOCRModel_02.pb +hiai_cv_focusShootOCRModel_08.pb +hiai_cv_poseEstimation.pb +hiai_detectmodel_06_23_960_480_1180700.pb +hiai_dress_detect.pb;1,960,960,3 +hiai_face_model_npu.pb +hiai_frozen_inference_graph.pb;1,300,300,3 +hiai_ghostnet.pb +hiai_iMaxDN_RGB.pb +hiai_iMaxSR_RGB.pb +hiai_label_and_video.pb;1,224,224,3 +hiai_latin_ocr.pb +hiai_latin_ocr_1.pb +hiai_lm_inference_graph.pb +hiai_model_0909_kd_rot_ps_softmax.pb;1,224,224,3 +hiai_PoseEstimation_Pcm.pb +model_normalize_object_scene_ps_20200519.pb;1,224,224,3 +mtk_AADB_HADB_MBV2_model.pb;1,224,224,3 +mtk_AADB_HADB_MBV3_model.pb;1,224,224,3 +mtk_age_gender.pb +mtk_model_ckpt.pb +mtk_model_face_dress.pb;1,128,128,3 +mtk_model_normalize_object_scene_ps_20200519.pb;1,224,224,3 +ml_ocr_latin.pb +ml_noya_tts_melgan.pb;16,16,80 # Q_hand_0812.pb is not suitable for float16. Out of float16 range. Q_hand_0812.pb -tacotron_encoder_stf.pb 5;1:1,62:1,62:1,62:1,62 -Q_inception-249970-672-11-16.pb 1 -Q_dila-small-mix-full-fineturn-390000-nopixel-nosigmoid.pb 1 +Q_inception-249970-672-11-16.pb +Q_dila-small-mix-full-fineturn-390000-nopixel-nosigmoid.pb +Q_crnn_screen_slim400w_more_20w.pb diff --git a/mindspore/lite/test/models_tf_fp16.cfg b/mindspore/lite/test/models_tf_fp16.cfg index 29a2ac07016..d256ee9fdcb 100644 --- a/mindspore/lite/test/models_tf_fp16.cfg +++ b/mindspore/lite/test/models_tf_fp16.cfg @@ -5,3 +5,7 @@ ml_ocr_jk.pb 0.5 ml_ocr_latin.pb 135 scan_hms_angle.pb 1.5 scan_hms_detect.pb 2.5 +ml_face_openclose.pb;1,32,32,3 0.5 +ml_object_detect.pb;1,288,288,3 2 +Q_crnn_screen_slim400w_more_20w.pb 137 +Q_inception-249970-672-11-16.pb 6.5 diff --git a/mindspore/lite/test/models_tflite_fp16.cfg b/mindspore/lite/test/models_tflite_fp16.cfg index 33c1762b11e..34bbe25b795 100644 --- a/mindspore/lite/test/models_tflite_fp16.cfg +++ b/mindspore/lite/test/models_tflite_fp16.cfg @@ -163,4 +163,5 @@ hiai_AADB_HADB_MBV2_model_f16.tflite 2.4 hiai_AADB_HADB_MBV2_model_fp32.tflite 4.1 mtk_age_gender_fp16.tflite 25.5 #hiai_cv_labelDetectorModel_v3.tflite 5.1 -#hiai_detect_curve_model_float32.tflite 8.98 \ No newline at end of file +#hiai_detect_curve_model_float32.tflite 8.98 +Q_language_model_hrmini_Q4_b4_17w.tflite 3.5 diff --git a/mindspore/lite/test/models_with_multiple_inputs.cfg b/mindspore/lite/test/models_with_multiple_inputs.cfg index f5f74150d1e..7320771f85e 100644 --- a/mindspore/lite/test/models_with_multiple_inputs.cfg +++ b/mindspore/lite/test/models_with_multiple_inputs.cfg @@ -11,3 +11,16 @@ decoder.onnx;2;1,7,512:1,7 fasterrcnn_crop.pb;1;420,630,3 ml_video_edit_person_divison_video;2 hdc_tb_cn_neg.tflite;3 +decoder_step_201217.pb;5 +decoder_step_201217_modified.pb;5 +encoder_201228.pb;3;1:1,22:1 +encoder_0111_control_flow.pb;4;1:1,44:1:1 +encoder_0111.pb;4;1:1,44:1:1 +ml_video_edit_oneclick_adaptis.pb;3 +tacotron_encoder_stf.pb;5;1:1,62:1,62:1,62:1,62 +female_model_step2_int16_noiseout.pb;66 +ml_female_model_step6_noiseout.pb;66 +ml_male_model_step6_noiseout.pb;66 +ml_tts_decoder_control_flow.pb;5 +ml_tts_decoder.pb;5 +ml_tts_encoder_control_flow.pb;4;1:1,22:1:1 diff --git a/mindspore/lite/test/models_with_multiple_inputs_fp16.cfg b/mindspore/lite/test/models_with_multiple_inputs_fp16.cfg index c30618a69a8..93cd7ad3ac9 100644 --- a/mindspore/lite/test/models_with_multiple_inputs_fp16.cfg +++ b/mindspore/lite/test/models_with_multiple_inputs_fp16.cfg @@ -9,4 +9,8 @@ decoder_step_201217.pb;5 187 ml_video_edit_art_transfer.onnx;3 3 decoder.onnx;2;1,7,512:1,7 113 decoder_step_201217_modified.pb;5 0.5 -encoder_0111_control_flow.pb;4;1:1,44:1:1 10 \ No newline at end of file +#encoder_0111_control_flow.pb;4;1:1,44:1:1 10 +ml_female_model_step6_noiseout.pb;66 2 +ml_male_model_step6_noiseout.pb;66 2.5 +ml_tts_decoder_control_flow.pb;5 1 +ml_tts_decoder.pb;5 117 diff --git a/mindspore/lite/test/run_benchmark_nets.sh b/mindspore/lite/test/run_benchmark_nets.sh index 4fb18f854ef..7a86e01d842 100755 --- a/mindspore/lite/test/run_benchmark_nets.sh +++ b/mindspore/lite/test/run_benchmark_nets.sh @@ -15,12 +15,10 @@ function Run_Converter() { # Convert tf models: while read line; do - tf_line_info=${line} - if [[ $tf_line_info == \#* ]]; then + model_name=${line%;*} + if [[ $model_name == \#* ]]; then continue fi - model_name=`echo ${tf_line_info}|awk -F ' ' '{print $1}'` - input_num=`echo ${tf_line_info}|awk -F ' ' '{print $2}'` echo ${model_name} >> "${run_converter_log_file}" echo './converter_lite --fmk=TF --modelFile='${models_path}'/'${model_name}' --outputFile='${ms_models_path}'/'${model_name}'' >> "${run_converter_log_file}" ./converter_lite --fmk=TF --modelFile=$models_path/${model_name} --outputFile=${ms_models_path}/${model_name} @@ -398,31 +396,15 @@ function Run_x86() { # Run tf converted models: while read line; do - model_name_and_input_num=${line%;*} - length=${#model_name_and_input_num} + model_name=${line%;*} + length=${#model_name} input_shapes=${line:length+1} - tf_line_info=${model_name_and_input_num} - if [[ $tf_line_info == \#* ]]; then + if [[ $model_name == \#* ]]; then continue fi - model_name=`echo ${tf_line_info}|awk -F ' ' '{print $1}'` - input_num=`echo ${tf_line_info}|awk -F ' ' '{print $2}'` - input_files='' - for i in $(seq 1 $input_num) - do - input_files=$input_files'/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/input/'$model_name'.ms_'$i'.bin,' - done echo ${model_name} >> "${run_x86_log_file}" - echo './benchmark --modelFile='${ms_models_path}'/'${model_name}'.ms --inDataFile=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/input/'${input_files}' --inputShapes='${input_shapes}' --benchmarkDataFile=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/output/'${model_name}'.ms.out' >> "${run_x86_log_file}" - ./benchmark --modelFile=${ms_models_path}/${model_name}.ms --inDataFile=${input_files} --inputShapes=${input_shapes} --benchmarkDataFile=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/output/${model_name}.ms.out >> "${run_x86_log_file}" - if [ $? = 0 ]; then - run_result='x86: '${model_name}' pass'; echo ${run_result} >> ${run_benchmark_result_file} - else - run_result='x86: '${model_name}' failed'; echo ${run_result} >> ${run_benchmark_result_file}; return 1 - fi - # run benchmark test with input data - echo './benchmark --modelFile='${ms_models_path}'/'${model_name}'.ms --inDataFile=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/input/'${input_files}' --inputShapes='${input_shapes} >> "${run_x86_log_file}" - ./benchmark --modelFile=${ms_models_path}/${model_name}.ms --inDataFile=${input_files} --inputShapes=${input_shapes} >> "${run_x86_log_file}" + echo './benchmark --modelFile='${ms_models_path}'/'${model_name}'.ms --inDataFile=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/input/'${model_name}'.ms.bin --inputShapes='${input_shapes}' --benchmarkDataFile=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/output/'${model_name}'.ms.out' >> "${run_x86_log_file}" + ./benchmark --modelFile=${ms_models_path}/${model_name}.ms --inDataFile=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/input/${model_name}.ms.bin --inputShapes=${input_shapes} --benchmarkDataFile=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/output/${model_name}.ms.out >> "${run_x86_log_file}" if [ $? = 0 ]; then run_result='x86: '${model_name}' pass'; echo ${run_result} >> ${run_benchmark_result_file} else @@ -1296,34 +1278,27 @@ function Run_arm64() { # Run tf converted models: while read line; do - model_name_and_input_num=${line%;*} - length=${#model_name_and_input_num} + model_name=${line%;*} + length=${#model_name} input_shapes=${line:length+1} - tf_line_info=${model_name_and_input_num} - if [[ $tf_line_info == \#* ]]; then + if [[ $model_name == \#* ]]; then continue fi - model_name=`echo ${tf_line_info}|awk -F ' ' '{print $1}'` - input_num=`echo ${tf_line_info}|awk -F ' ' '{print $2}'` - input_files='' - for i in $(seq 1 $input_num) - do - input_files=$input_files'/data/local/tmp/input_output/input/'$model_name'.ms_'$i'.bin,' - done echo ${model_name} >> "${run_arm64_fp32_log_file}" echo 'cd /data/local/tmp/benchmark_test' > adb_run_cmd.txt - echo 'export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/data/local/tmp/benchmark_test;./benchmark --inputShapes='${input_shapes}' --modelFile='${model_name}'.ms --inDataFile='${input_files}' --benchmarkDataFile=/data/local/tmp/input_output/output/'${model_name}'.ms.out' >> "${run_arm64_fp32_log_file}" - echo 'export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/data/local/tmp/benchmark_test;./benchmark --inputShapes='${input_shapes}' --modelFile='${model_name}'.ms --inDataFile='${input_files}' --benchmarkDataFile=/data/local/tmp/input_output/output/'${model_name}'.ms.out' >> adb_run_cmd.txt + echo 'export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/data/local/tmp/benchmark_test;./benchmark --modelFile='${model_name}'.ms --inDataFile=/data/local/tmp/input_output/input/'${model_name}'.ms.bin --inputShapes='${input_shapes}' --benchmarkDataFile=/data/local/tmp/input_output/output/'${model_name}'.ms.out' >> "${run_arm64_fp32_log_file}" + echo 'export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/data/local/tmp/benchmark_test;./benchmark --modelFile='${model_name}'.ms --inDataFile=/data/local/tmp/input_output/input/'${model_name}'.ms.bin --inputShapes='${input_shapes}' --benchmarkDataFile=/data/local/tmp/input_output/output/'${model_name}'.ms.out' >> adb_run_cmd.txt adb -s ${device_id} shell < adb_run_cmd.txt >> "${run_arm64_fp32_log_file}" if [ $? = 0 ]; then run_result='arm64: '${model_name}' pass'; echo ${run_result} >> ${run_benchmark_result_file} else run_result='arm64: '${model_name}' failed'; echo ${run_result} >> ${run_benchmark_result_file}; return 1 fi - # run benchmark test with input data + # run benchmark test without clib data + echo ${model_name} >> "${run_arm64_fp32_log_file}" echo 'cd /data/local/tmp/benchmark_test' > adb_run_cmd.txt - echo 'export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/data/local/tmp/benchmark_test;./benchmark --inputShapes='${input_shapes}' --modelFile='${model_name}'.ms --inDataFile='${input_files}' --warmUpLoopCount=1 --loopCount=2' >> "${run_arm64_fp32_log_file}" - echo 'export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/data/local/tmp/benchmark_test;./benchmark --inputShapes='${input_shapes}' --modelFile='${model_name}'.ms --inDataFile='${input_files}' --warmUpLoopCount=1 --loopCount=2' >> adb_run_cmd.txt + echo 'export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/data/local/tmp/benchmark_test;./benchmark --modelFile='${model_name}'.ms --inputShapes='${input_shapes}' --warmUpLoopCount=1 --loopCount=2' >> "{run_arm64_fp32_log_file}" + echo 'export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/data/local/tmp/benchmark_test;./benchmark --modelFile='${model_name}'.ms --inputShapes='${input_shapes}' --warmUpLoopCount=1 --loopCount=2' >> adb_run_cmd.txt adb -s ${device_id} shell < adb_run_cmd.txt >> "${run_arm64_fp32_log_file}" if [ $? = 0 ]; then run_result='arm64: '${model_name}' pass'; echo ${run_result} >> ${run_benchmark_result_file} @@ -1627,6 +1602,17 @@ function Run_arm64() { else run_result='arm64: '${model_name}' failed'; echo ${run_result} >> ${run_benchmark_result_file}; return 1 fi + # run benchmark test without clib data + echo ${model_name} >> "${run_arm64_fp32_log_file}" + echo 'cd /data/local/tmp/benchmark_test' > adb_run_cmd.txt + echo 'export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/data/local/tmp/benchmark_test;./benchmark --modelFile='${model_name}'.ms --inDataFile='${input_files}' --inputShapes='${input_shapes} ' --warmUpLoopCount=1 --loopCount=2' >> "${run_arm64_fp32_log_file}" + echo 'export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/data/local/tmp/benchmark_test;./benchmark --modelFile='${model_name}'.ms --inDataFile='${input_files}' --inputShapes='${input_shapes} ' --warmUpLoopCount=1 --loopCount=2' >> adb_run_cmd.txt + adb -s ${device_id} shell < adb_run_cmd.txt >> "${run_arm64_fp32_log_file}" + if [ $? = 0 ]; then + run_result='arm64: '${model_name}' pass'; echo ${run_result} >> ${run_benchmark_result_file} + else + run_result='arm64: '${model_name}' failed'; echo ${run_result} >> ${run_benchmark_result_file}; return 1 + fi done < ${models_with_multiple_inputs_config} # Run converted models which does not need to be cared about the accuracy: @@ -1845,7 +1831,7 @@ function Run_arm64_fp16() { while read line; do fp16_line_info=${line} if [[ $fp16_line_info == \#* ]]; then - continue- + continue fi model_info=`echo ${fp16_line_info}|awk -F ' ' '{print $1}'` accuracy_limit=`echo ${fp16_line_info}|awk -F ' ' '{print $2}'`