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mindspore2022/mindspore/lite/test/config/models_tf_fp16.cfg

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  1. # [first column]:model_name;input_num;input_shape;threads;extra_info. If there is no need to set these parameters, the

  2. #                content after ";" can be omitted.

  3. # [second column]:accuracy limit for float16 in arm64 device

  4. ml_vision_guide_detection1.pb 0.5

  5. ml_vision_guide_detection3.pb 0.5

  6. ml_video_edit_generate_filter.pb 2

  7. ml_ocr_jk.pb 0.8

  8. # The accumulated error causes the threshold to be exceeded

  9. ml_ocr_latin.pb 12

  10. scan_hms_angle.pb 7

  11. scan_hms_detect.pb 2.5

  12. ml_face_openclose.pb;1;1,32,32,3 0.5

  13. ml_object_detect.pb;1;1,288,288,3 2

  14. # The inputs of two Q_crnn_screen_slim400w models are between 0-255, but their outputs have small values (e-7).

  15. Q_crnn_screen_slim400w_more_20w.pb 72

  16. Q_inception-249970-672-11-16.pb 6.5

  17. hiai_ssd_mobilenetv2_object.pb 15

  18. hiai_humanDetection.pb 3.5

  19. hiai_PoseEstimation_Pcm.pb 0.5

  20. # The last layer has a very small value, which leads to a large error

  21. hiai_cn_recognize_modify_padv2.pb;1;1,32,512,1 27

  22. hiai_model_normalize_object_scene_ps_20200519.pb;1;1,224,224,3 17.1

  23. # The output of mtk_model_ckpt.pb has small value

  24. mtk_model_ckpt.pb 19.5

  25. mtk_age_gender.pb 0.5

  26. # The Difference of output node divided by 0 results in cumulative deviation

  27. mtk_model_normalize_object_scene_ps_20200519.pb;1;1,224,224,3 10

  28. # Bccumulative error of conv_batchnorm_fused op

  29. mtk_AADB_HADB_MBV2_model.pb;1;1,224,224,3 5.5

  30. mtk_AADB_HADB_MBV3_model.pb;1;1,224,224,3 4

  31. # The output of mtk_face_features_v1.pb has small value

  32. mtk_face_features_v1.pb 26

  33. model_normalize_object_scene_ps_20200519.pb;1;1,224,224,3 10

  34. hiai_AADB_HADB_MBV2_model.pb;1;1,224,224,3 6

  35. hiai_frozen_inference_graph.pb 12

  36. hiai_lm_inference_graph.pb 1.2

  37. hiai_ghostnet.pb 0.9

  38. hiai_face_model_npu.pb 0.5

  39. hiai_cv_focusShootOCRModel_02.pb 10.5

  40. hiai_label_and_video.pb;1;1,224,224,3 23

  41. hiai_dress_detect.pb;1;1,960,960,3 1.5

  42. hiai_iMaxDN_RGB.pb 0.5

  43. hiai_iMaxSR_RGB.pb 3.5

  44. hiai_ctpn_feature_map.pb 6.5

  45. hiai_cpu_face_gazing.pb 0.5

  46. hiai_cpu_face_emotion.pb 2.2

  47. hiai_cv_poseEstimation.pb 103

  48. Q_dila-small-mix-full-fineturn-390000-nopixel-nosigmoid.pb 1.5

  49. # The input of Q_crnn_ori_75w_slim model is between 0-255, but its outputs has small values (e-6).

  50. Q_crnn_ori_75w_slim_norm.pb 37

  51. # The output of Q_crnn_ori_v2 model has small values (e-4).

  52. Q_crnn_ori_v2_405001_notrans_nopre.pb 24

  53. # The input of hiai_latin models are between 0-255

  54. hiai_latin_ocr.pb 4

  55. hiai_latin_ocr_1.pb 3.5

  56. hiai_cpu_face_headpose.pb 4

  57. # ml_noya_tts_melgan.pb  If the input range is adjusted to [- 1,1], the fp16 error can be reduced to 38.9512% 

  58. ml_noya_tts_melgan.pb;1;16,16,80 70

  59. bolt_segment.pb 2

  60. siteAI_wireless_depress_w.pb;1;1,36 0.5

  61. siteAI_wireless_restore_w.pb;1;1,36 0.5

  62. siteAI_trans_nonlinear.pb;1;1,137 0.5

  63. siteAI_trans_nonlinear40g.pb;1;1,271 0.6

  64. siteAI_trans_nonlinear134g.pb;1;1,137 0.5

  65. siteAI_trans_nonlinear134g_nrz.pb;1;1,182 0.6

  66. ml_vision_guide_detection2.pb;1;1,320,320,1 1

  67. # ml_tts_encoder.pb has a round op, which will cause round-off error when the decimal of input value is near 0.5

  68. ml_tts_encoder.pb;4;1,44:1:1:1 9

  69. # encoder_0111_control_flow.pb is same as ml_tts_encoder_control_flow.pb

  70. #encoder_0111_control_flow.pb;4;1:1,44:1:1 10

  71. ml_video_edit_video_segment_gauss_adaptis_part2.pb;2 12.1

  72. ml_video_edit_img_segment_adaptise.pb;2 40

  73. ml_video_edit_oneclick_adaptis.pb;3 6

  74. #decoder_step_201217.pb is the same model as ml_tts_decoder.pb.

  75. #decoder_step_201217.pb;5 187

  76. #decoder_step_201217_modified.pb is the same model as ml_tts_decoder_control_flow.pb.

  77. #decoder_step_201217_modified.pb;5 0.5

  78. #encoder_0111.pb is the same model as ml_tts_encoder.pb.

  79. #encoder_0111.pb;4;1:1,44:1:1

  80. ml_female_model_step6_noiseout.pb;66 2

  81. ml_male_model_step6_noiseout.pb;66 2.5

  82. ml_tts_encoder_control_flow.pb;4;1,22:1:1:1;;input_dependent+need_loop 1.5

  83. ml_tts_decoder_control_flow.pb;5;;;need_loop 1

  84. ml_tts_decoder.pb;5 2.5

  85. ml_tts_vocoder.pb;66 53

  86. hiai_transformer_encoder.pb;15 4

  87. decoder_step_nocumsum_v5.pb;13;1,512:1,512:1,512:1,512:1,512:1,127,320:1,1429,2:1,127:1:1,127:1,512:1,80:1,127 1.2

  88. hiai_nlu_model_multi.pb;6;1,32:1,32:1,32:1,74:1,11:1,6

  89. hiai_nlu_model_single.pb;3;1,32:1,32:1,32 4.4

  90. fsr_270_mindspore.pb 6.0

  91. fsr_360_mindspore.pb 6.5

  92. fsr_720_mindspore.pb 2.0

  93. hiai_asr_last_e1_cpu_fast_wavenet_batch1_frame1_one_cache.pb;2

  94. tt_raw_h4800_mel80_ms_fe001_ex_20210506_joint_decoder.pb;14;4:4,7,64:4,7,64:4,7,64:4,7,64:4,7,64:4,7,64:4,7,64:4,7,64:4,7,64:4,7,64:4,7,64:4,7,64:1,640 0.5