# [first column]:model_name;input_num;input_shape;threads;extra_info. If there is no need to set these parameters, the
#                content after ";" can be omitted.
# [second column]:accuracy limit for float16 in arm64 device
mtk_detect-mbv2-shortcut-400-400-simplified.onnx 4
mtk_face_features_v3.onnx 20
emotion-ferplus-8.onnx 1
#rcnn-ilsvrc13-9.onnx 0.1
efficientnet-lite4-11.onnx 2
mobilenetv2-7.onnx 8
shufflenet-v2-10.onnx 5
squeezenet1.1-7.onnx 1
densenet-9.onnx 6
ml_table_detection_fp32_tmp.onnx 2
ml_table_segment.onnx 2
googlenet-9.onnx 3
inception-v1-9.onnx 3
inception-v2-9.onnx 4
shufflenet-9.onnx 1000
squeezenet1.0-9.onnx 5
residual_distill_cifar10_bs_1.onnx 1
residual_distill_cifar10_bs_32.onnx 2
residual_distill_bs_1.onnx 6
residual_distill_bs_32.onnx 30
ml_face_3d.onnx 2
gts_version-RFB-320_simplified.onnx 3
mnist-8.onnx 10
crnn_lite_lstm_v2.onnx;1;32,32,32,1 0.3
psenet_lite_mbv2.onnx;1;1,32,32,3 0.6
super-resolution-10.onnx;1;1,224,224,1 4.5
tinyyolov2-8.onnx;1;1,416,416,3 5.5
#ml_2012_ocr_cn.onnx -1
#ml_2012_ocr_cn_noLSTM.onnx 1
#candy-9.onnx 5
#mosaic-9.onnx 4
pointilism-9.onnx 3
rain-princess-9.onnx 5
udnie-9.onnx 3
adversarial_pruning.onnx 3
residual_distill_res34_cifar10_bs_1_update.onnx 2
residual_distill_res50_cifar10_bs_1_update.onnx 2
#ml_voice_detect.onnx #out of float16 range because power op
hdc_ocr_attention.onnx 1.6
#one of the output has small values in model hdc_ocr_detect_tmp.onnx
hdc_ocr_detect_tmp.onnx 30
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_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
gts_text_detection.onnx;1;1,224,224,3 10
hdc_Face_Emotion_MTI_Aesthetic.onnx 144
ml_video_edit_imitate_filter.onnx 120
ml_facedetector.onnx 6
ml_ei_facedetection.onnx 2
#ml_video_edit_art_generate.onnx #mul operator overflows, not suitable for fp16
#ml_voice_detect.onnx #conv operator overflows, not suitable for fp16
#ml_location_lane_counter.onnx has very small values during op computation (<1e-6), which causes the precision variation
ml_location_lane_counter.onnx 8.5
ml_location_lane_counter0.onnx 1.0
#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;1,32,83 1262
mtk_emotions-d2012-75.onnx 6
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;1,480,640,3 2
mtk_face_features_v2.onnx;1;1,256,192,3 0.5
mtk_face_recognition_v3.onnx 1.1
mtk_face_recognition_v2.onnx 2.5
ml_2012_ocr_detection_tmp.onnx 0.5
Harmony_Voiceprint_resnet18.onnx;1;1,150,40,1 5.5
bloom_hongmo_detection_tmp.onnx 0.5
Q_face_recognition.onnx 3.2
ml_video_edit_enhance_update_tmp.onnx 0.5
Q888_face_recognition.onnx 3.5
Q888_iris_detect.onnx 0.5
ssd_mobilenet_v1_10.onnx;1;1,383,640,3 0.5
# The output from a conv in the later part contains many minus values, the following leakyRelu makes them become very
# close to 0 (-e^-4). The fp16 precision lost a lot in this case and it affects the following computation.
Harmony_Voiceprint.onnx;1;1,200,40,1 21.5 # small output causes big bias
# A matmul op in the later part produces overflowed output values (>65504).
#ml_video_edit_art_generate_20210513.onnx nan
ml_asr_encoder_int8_202103.onnx;;;4 2.1
# The input range of hdc_efficientnet_b3_1w_class.onnx is [-5, 5], the computation of middle layers contains small
# values(<1e-5), The fp16 computation precision is low in this case.
hdc_efficientnet_b3_1w_class.onnx 18
yolov5s.onnx 2
ml_video_edit_art_transfer.onnx;3 3
decoder.onnx;2;1,7,512:1,7 113
ml_video_edit_art_transfer_20210513.onnx;3 1
ml_asr_decoder_202103.onnx;2;1,64,512:1,64 0.5
ml_video_edit_makeup_mobilenetv203.onnx 4
# The input of ml_video_edit_hair_dyeing_migrate_v2.onnx should be between [0, 1]
ml_video_edit_hair_dyeing_migrate_v2.onnx;4 2.5
Q888_CV_face_recognition_self.onnx 3.6
ml_video_edit_hair_dyeing_migrate_v2_fix.onnx;4 3
ml_intelligent_cockpit_model.onnx;3;1,32:1,32:1,32 3.5
CloudBU_FSRCNN_RTC_8ch_3450_QP9.onnx;1;1,225,225,3 1.5
CloudBU_rfdn_rtc_x2_ver2_13.onnx;1;1,225,225,3 1.5
CloudBU_rfdn_rtc_x2_ver2_3450.onnx;1;1,225,225,3 3.0