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TDA4VE-Q1: yuv infer abnormal

? ?
Prodigy 90 points
Part Number: TDA4VE-Q1


We deployed 5 models in entry device ,  we find the inference results of 3 bin models  are OK  on device  , but  2 bin models  with  4 %   AP  decreased  compared with simulation  inference .  So we think  it as TI's  API bug.  How  can wen solve the problem ?  

 

  • 0
    Prodigy 90 points

    We use rtos to import the model .   the sdk  is   ti-processor-sdk-rtos-j722s-evm-11_00_00_06 . 

  • 0 in reply to ? ?
    TI__Genius 16410 points

    Hi,

    Could you please include your model, input data, and configuration files?  There is very little we can determine with out them.

    Regards,

    Chris

  • 0 in reply to Chris Tsongas
    Prodigy 90 points

    Hello , thanks for your reply .  The models and evaluation result  entry.tar.gz

  • 0 in reply to ? ?
    Prodigy 90 points

    img_in.zip

    Fullscreen bev_seg2_inference_config_entry.txt Download 
    inFileFormat    = 2
postProcType = 3
inElementType = 0

netBinFile      = "/home/invo/2TB/evaluate/bev_seg2/output/pc_bin/entry/import_result/bev_seg2_int8.bin"
ioConfigFile   = "/home/invo/2TB/evaluate/bev_seg2/output/pc_bin/entry/import_result/bev_seg2_int8_1.bin"
outData =   "/home/invo/2TB/evaluate/bev_seg2/output/pc_bin/entry/infer_result/bev_seg2_int8_save.bin"
inData  =   "/home/invo/2TB/evaluate/bev_seg2/data/data_list_infer.txt"

#numFrames   = 14804
numFrames   = 500

#enableLayerPerfTraces = 2
#debugTraceLevel = 3
#writeTraceLevel = 3
    Fullscreen bev_seg2_Import_config_entry.txt Download 
    #enableLayerPerfTraces = 1
#debugTraceLevel = 1
#writeTraceLevel = 3
modelType = 2
numParamBits = 8
numFeatureBits = 8
inputNetFile       = "/home/invo/2TB/evaluate/bev_seg2/data/onnx/model.onnx"

outputNetFile      = "/home/invo/2TB/evaluate/bev_seg2/output/pc_bin/entry/import_result/bev_seg2_int8.bin"
outputParamsFile   = "/home/invo/2TB/evaluate/bev_seg2/output/pc_bin/entry/import_result/bev_seg2_int8_"

#perfSimConfig = "/home/invo/2TB/evaluate/configs/device_config.cfg"
perfSimConfig = "/home/invo/2TB/rtos/ti-processor-sdk-rtos-j722s-evm-11_00_00_06/c7x-mma-tidl/ti_dl/test/testvecs/config/import/device_config.cfg"

inDataNorm  = 1
#inMean = 123.675 116.28 103.53
#inScale = 0.015625 0.015625 0.015625 
inMean = 0.0 0.0 0.0
inScale = 0.003921568627 0.003921568627 0.003921568627

#outElementType = 6 6
#addDataConvertToNet = 2
#outDataLayout = 1

#postProcType = 3
inDataFormat = 1
inFileFormat = 2
inWidth  = 448
inHeight = 448
#resizeWidth = 448
#resizeHeight = 448
inNumChannels = 3

numFrames = 3
#numFrames = 1
inData = "/home/invo/2TB/evaluate/bev_seg2/data/data_list_import.txt"

  • 0 in reply to ? ?
    TI__Genius 16410 points

    Hi,

    I noticed a problem with your entry/mos/model.onnx model that may be causing the issue.

    [TIDL Import] UNSUPPORTED: Allowlisting : Layer name - /ArgMax : Only keepdims = 1 (default) is supported -- [tidlAllowlistingConstraints/tidl_constraint.cpp, 85]
    [TIDL Import] UNSUPPORTED: Allowlisting : Layer name - /ArgMax_1 : Only keepdims = 1 (default) is supported -- [tidlAllowlistingConstraints/tidl_constraint.cpp, 85]

    Can you please look at the ArgMax layers and ensure they are correct?  The model in entru/3D/model.onnx imports and infers correctly.

    ./PC_dsp_test_dl_algo.out s:bev_seg2_inference_config_entry.txt

    Processing config file #0 : bev_seg2_inference_config_entry.txt
    ----------------------- TIDL Process with REF_ONLY FLOW------------------------

    # 0 . .. T 2257.09 .... ..... ... .... .....
    # 1 . .. T 2259.54 .... ..... ... .... .....
    # 2 . .. T 2253.60 .... ..... ... .... .....

    As far as the 4% change it could be different set of inputs that could cause the variation.  

    Regards,

    Chris

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