forked from huawei/mindspore2022
106 lines
4.4 KiB
INI
106 lines
4.4 KiB
INI
# [first column]:model_name;input_num;input_shape;threads;extra_info. If there is no need to set these parameters, the
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# content after ";" can be omitted.
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# [second column]:accuracy limit for float16 in arm64 device
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mtk_detect-mbv2-shortcut-400-400-simplified.onnx 4
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mtk_face_features_v3.onnx 20
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emotion-ferplus-8.onnx 1
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#rcnn-ilsvrc13-9.onnx 0.1
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efficientnet-lite4-11.onnx 2
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mobilenetv2-7.onnx 8
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shufflenet-v2-10.onnx 5
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squeezenet1.1-7.onnx 1
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densenet-9.onnx 6
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ml_table_detection_fp32_tmp.onnx 2
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ml_table_segment.onnx 2
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googlenet-9.onnx 3
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inception-v1-9.onnx 3
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inception-v2-9.onnx 4
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shufflenet-9.onnx 1000
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squeezenet1.0-9.onnx 5
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residual_distill_cifar10_bs_1.onnx 1
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residual_distill_cifar10_bs_32.onnx 2
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residual_distill_bs_1.onnx 6
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residual_distill_bs_32.onnx 30
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ml_face_3d.onnx 2
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gts_version-RFB-320_simplified.onnx 3
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mnist-8.onnx 10
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crnn_lite_lstm_v2.onnx;1;32,32,32,1 0.3
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psenet_lite_mbv2.onnx;1;1,32,32,3 0.6
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super-resolution-10.onnx;1;1,224,224,1 4.5
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tinyyolov2-8.onnx;1;1,416,416,3 5.5
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#ml_2012_ocr_cn.onnx -1
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#ml_2012_ocr_cn_noLSTM.onnx 1
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#candy-9.onnx 5
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#mosaic-9.onnx 4
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pointilism-9.onnx 3
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rain-princess-9.onnx 5
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udnie-9.onnx 3
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adversarial_pruning.onnx 3
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residual_distill_res34_cifar10_bs_1_update.onnx 2
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residual_distill_res50_cifar10_bs_1_update.onnx 2
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#ml_voice_detect.onnx #out of float16 range because power op
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hdc_ocr_attention.onnx 1.6
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#one of the output has small values in model hdc_ocr_detect_tmp.onnx
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hdc_ocr_detect_tmp.onnx 30
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ml_edu_kit_hand_detection.onnx 2
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ml_edu_kit_hand_key_position.onnx 2
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ml_video_edit_judge.onnx 12
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ml_video_edit_vignet.onnx 1.5
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ml_video_edit_style_transfer_autoportrait.onnx 2
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ml_video_edit_style_transfer_candy.onnx 2
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ml_video_edit_style_transfer_gongnongbing.onnx 2
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ml_video_edit_style_transfer_starry.onnx 2
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hdc_Face_Landmark5_MTI_Aesthetic.onnx 0.5
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hdc_Image_Aesthetic_MTI_Aesthetic.onnx 0.5
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hdc_resnet_1w_class.onnx 6
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gts_text_detection.onnx;1;1,224,224,3 10
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hdc_Face_Emotion_MTI_Aesthetic.onnx 144
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ml_video_edit_imitate_filter.onnx 120
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ml_facedetector.onnx 6
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ml_ei_facedetection.onnx 2
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#ml_video_edit_art_generate.onnx #mul operator overflows, not suitable for fp16
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#ml_voice_detect.onnx #conv operator overflows, not suitable for fp16
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#ml_location_lane_counter.onnx has very small values during op computation (<1e-6), which causes the precision variation
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ml_location_lane_counter.onnx 7.5
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ml_location_lane_counter0.onnx 1.0
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#The encoder an decoder model are used in ml_asr scene, both have value overflow. Not suitable for fp16.
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#But added for guarding process.
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encoder.onnx;1;1,32,83 1262
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mtk_emotions-d2012-75.onnx 6
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mtk_detect-mbv1-shortcut-400-400.onnx 0.5
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mtk_detect-mbv2-shortcut-400-400.onnx 0.5
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mtk_detect_mbv1_640_480.onnx 0.5
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mtk_detect-deeper-halfdeeper-mbv1-shortcut-400-400_nopostprocess_simplified_onnx.onnx 2
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mtk_detect-mbv1-shortcut-400-400_nopostprocess_simplified_onnx.onnx 6.5
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mtk_detect-deeper-halfdeeper-mbv1-lastearlySSD-shortcut-400-400_nopostprocess_simplified_onnx.onnx 2.5
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mtk_detect_mbv1_640_480_nopostprocess_simplified_onnx.onnx;1;1,480,640,3 2
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mtk_face_features_v2.onnx;1;1,256,192,3 0.5
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mtk_face_recognition_v3.onnx 1.1
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mtk_face_recognition_v2.onnx 2.5
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ml_2012_ocr_detection_tmp.onnx 0.5
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Harmony_Voiceprint_resnet18.onnx;1;1,150,40,1 5.5
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bloom_hongmo_detection_tmp.onnx 0.5
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Q_face_recognition.onnx 3.2
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ml_video_edit_enhance_update_tmp.onnx 0.5
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Q888_face_recognition.onnx 3.5
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Q888_iris_detect.onnx 0.5
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ssd_mobilenet_v1_10.onnx;1;1,383,640,3 0.5
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# The output from a conv in the later part contains many minus values, the following leakyRelu makes them become very
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# close to 0 (-e^-4). The fp16 precision lost a lot in this case and it affects the following computation.
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Harmony_Voiceprint.onnx;1;1,200,40,1 21.5 # small output causes big bias
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# A matmul op in the later part produces overflowed output values (>65504).
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#ml_video_edit_art_generate_20210513.onnx nan
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ml_asr_encoder_int8_202103.onnx;;;4 2.1
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# The input range of hdc_efficientnet_b3_1w_class.onnx is [-5, 5], the computation of middle layers contains small
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# values(<1e-5), The fp16 computation precision is low in this case.
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hdc_efficientnet_b3_1w_class.onnx 18
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yolov5s.onnx 2
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ml_video_edit_art_transfer.onnx;3 3
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decoder.onnx;2;1,7,512:1,7 113
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ml_video_edit_art_transfer_20210513.onnx;3:1,3,2 1
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ml_asr_decoder_202103.onnx;2;1,64,512:1,64 0.5
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ml_video_edit_makeup_mobilenetv203.onnx 4
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# The input of ml_video_edit_hair_dyeing_migrate_v2.onnx should be between [0, 1]
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ml_video_edit_hair_dyeing_migrate_v2.onnx;4:3,4,1,2 2.5
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Q888_CV_face_recognition_self.onnx 3.5
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