!13749 [MS][LITE]append some models to the entrance guard

From: @probiotics_53
Reviewed-by: 
Signed-off-by:

mindspore/lite/src/lite_kernel.cc

@@ -103,6 +103,9 @@ int LiteKernel::PreProcess() {
 
   for (auto *output : this->out_tensors()) {
     MS_ASSERT(output != nullptr);
+    if (desc_.data_type == kNumberTypeFloat16 && output->data_type() == kNumberTypeFloat32) {
+      output->set_data_type(kNumberTypeFloat16);
+    }
     if (output->ElementsNum() >= lite::MAX_MALLOC_SIZE / static_cast<int>(sizeof(int64_t))) {
       MS_LOG(ERROR) << "The size of output tensor is too big";
       return RET_ERROR;

mindspore/lite/test/models_caffe.cfg

@@ -80,6 +80,7 @@ hdc_emotion
 hdc_fivembnet
 hdc_isface
 hdc_mobilenetface
+hdc_retinaface
 hdc_resnet
 ml_video_edit_detect
 ml_video_edit_hairSeg_have_imageProcessLayer_interpTo145_20210121
@@ -87,3 +88,4 @@ ml_video_edit_have_imageProcessLayer_interpTo145_20201015
 ml_video_edit_MnetN367_extract_1010_pay
 ml_video_edit_reid
 ml_video_edit_v10_best_model_nomean_20200723
+ml_handpose

mindspore/lite/test/models_caffe_fp16.cfg

@@ -74,7 +74,9 @@ hdc_emotion 0.5
 hdc_fivembnet 0.5
 hdc_isface 0.5
 hdc_mobilenetface 7.5
+hdc_retinaface 14
 hdc_resnet 7
+hdc_Face_Aesthetic_MTI_Aesthetic 22
 ml_video_edit_detect 2.5
 ml_video_edit_hairSeg_have_imageProcessLayer_interpTo145_20210121 0.5
 ml_video_edit_have_imageProcessLayer_interpTo145_20201015 0.5
@@ -82,3 +84,5 @@ ml_video_edit_MnetN367_extract_1010_pay 1
 ml_video_edit_person_divison_pic 0.5
 ml_video_edit_reid 1
 ml_video_edit_v10_best_model_nomean_20200723 5
+ml_video_edit_img_segment 3
+ml_video_edit_video_segment_gauss_adaptis_part1 5

mindspore/lite/test/models_for_process_only.cfg

@@ -27,3 +27,4 @@ quant_aware_bank_card_detection_inception.onnx
 quant_aware_bank_card_recognition_fcny.onnx
 quant_aware_identify_card_detect.onnx
 tiny-yolov3-11.onnx;2;1,416,416,3:1,2
+ml_video_edit_art_transfer.onnx;3

mindspore/lite/test/models_npu.cfg

@@ -62,5 +62,17 @@ ml_video_edit_have_imageProcessLayer_interpTo145_20201015 0.5
 ml_video_edit_MnetN367_extract_1010_pay 0.5
 ml_video_edit_reid 0.5
 ml_video_edit_v10_best_model_nomean_20200723 8
-ml_edu_kit_hand_key_position.onnx 2
 ml_video_edit_art_generate.onnx 0.5
+#hdc_ocr_attention.onnx 0.5 #too many subgraphs
+#hdc_ocr_detect.onnx 30 #too many subgraphs
+ml_edu_kit_hand_detection.onnx 1
+ml_edu_kit_hand_key_position.onnx 2
+#ml_video_edit_oneclick_adaptis.pb #too many subgraphs
+ml_video_edit_enhance.pb 1.5
+ml_video_edit_video_segment_gauss_adaptis_part2_pb2tflite.tflite 10 2
+ml_video_edit_img_segment_adaptise_pb2tflite.tflite 0.5 2
+#hdc_retinaface #too many subgraphs
+# hdc_age_medium need further analysis, now add for guarding process
+hdc_age_medium 504
+gts_detect_5k_tf115.tflite 319
+ml_video_edit_art_transfer.onnx 3 3

mindspore/lite/test/models_onnx.cfg

@@ -53,5 +53,6 @@ hdc_resnet_1w_class.onnx
 ml_video_edit_imitate_filter.onnx
 hdc_ocr_attention.onnx
 hdc_ocr_detect.onnx
+ml_edu_kit_hand_detection.onnx
 ml_edu_kit_hand_key_position.onnx
 ml_video_edit_art_generate.onnx

mindspore/lite/test/models_onnx_fp16.cfg

@@ -38,4 +38,18 @@ residual_distill_res34_cifar10_bs_1_update.onnx 2
 residual_distill_res50_cifar10_bs_1_update.onnx 2
 hdc_ocr_attention.onnx 1
 hdc_ocr_detect.onnx 30 #one of the output has small values
+hdc_Face_Emotion_MTI_Aesthetic.onnx 145
+ml_edu_kit_hand_detection.onnx 2
 ml_edu_kit_hand_key_position.onnx 2
+ml_video_edit_judge.onnx 12
+ml_video_edit_vignet.onnx 1.5
+ml_video_edit_imitate_filter.onnx 105
+#ml_video_edit_art_generate.onnx 0.5 # not suitable for fp16
+ml_video_edit_style_transfer_autoportrait.onnx 2
+ml_video_edit_style_transfer_candy.onnx 2
+ml_video_edit_style_transfer_gongnongbing.onnx 2
+ml_video_edit_style_transfer_starry.onnx 2
+hdc_Face_Landmark5_MTI_Aesthetic.onnx 0.5
+hdc_Image_Aesthetic_MTI_Aesthetic.onnx 0.5
+hdc_resnet_1w_class.onnx 6
+hdc_mobilenet_1w_class.onnx 20

mindspore/lite/test/models_tf_fp16.cfg

@@ -1,2 +1,4 @@
 decoder_step_201217_modified.pb 5
 encoder_0111_control_flow.pb 4;1:1,44:1:1%9
+ml_video_edit_generate_filter.pb 1;%2
+ml_video_edit_enhance.pb 1;%2

mindspore/lite/test/models_with_multiple_inputs.cfg

@@ -1,7 +1,7 @@
 lite-model_arbitrary-image-stylization-inceptionv3_fp16_transfer_1.tflite;2
 magenta_arbitrary-image-stylization-v1-256_fp16_transfer_1.tflite;2
 # albert_lite_base_squadv1_1.tflite;3
-# mobilebert_1_default_1.tflite;3
+mobilebert_1_default_1.tflite;3
 porseg_tmp.onnx;2
 ml_video_edit_img_segment_adaptise.pb;2
 ml_video_edit_img_segment_adaptise_pb2tflite.tflite;2

mindspore/lite/test/run_benchmark_nets.sh

@@ -2047,6 +2047,10 @@ function Run_npu() {
 
     # Run npu converted models:
     while read line; do
+        model_line_info=${line}
+        if [[ $model_line_info == \#* ]]; then
+          continue
+        fi
         model_name=`echo ${line}|awk -F ' ' '{print $1}'`
         accuracy_limit=`echo ${line}|awk -F ' ' '{print $2}'`
         input_num=`echo ${line}|awk -F ' ' '{print $3}'`

mindspore/lite/tools/cropper/build_cropper_config.sh

@@ -175,6 +175,7 @@ generateOpsList
 getCommonFile
 # get src/ops
 getOpsFile "Registry\(schema::PrimitiveType_" "${MINDSPORE_HOME}/mindspore/lite/src/ops" "prototype" &
+getOpsFile "REG_POPULATE\(PrimitiveType_" "${MINDSPORE_HOME}/mindspore/lite/src/ops" "prototype" &
 getOpsFile "REG_KERNEL\(.*?, kNumberTypeFloat32, PrimitiveType_" "${MINDSPORE_HOME}/mindspore/lite/src/runtime/kernel/arm" "kNumberTypeFloat32" &
 getOpsFile "REG_KERNEL\(.*?, kNumberTypeFloat16, PrimitiveType_" "${MINDSPORE_HOME}/mindspore/lite/src/runtime/kernel/arm" "kNumberTypeFloat16" &
 getOpsFile "REG_KERNEL\(.*?, kNumberTypeInt8, PrimitiveType_" "${MINDSPORE_HOME}/mindspore/lite/src/runtime/kernel/arm" "kNumberTypeInt8" &