With quantStatusTool,the result is good,But when I run the model on TDA2EXEVM,The result is wrong.
My import config file is below:
# Default - 0
randParams = 0
# 0: Caffe, 1: TensorFlow, Default - 0
modelType = 0
# test sparse 0, dense 1
#conv2dKernelType = 0
# 0: Fixed quantization By tarininng Framework, 1: Dyanamic quantization by TIDL, Default - 1
quantizationStyle = 1
# quantRoundAdd/100 will be added while rounding to integer, Default - 50
#quantRoundAdd = 25
quantRoundAdd = 25
#numParamBits = 8
numParamBits = 8
# 0 : 8bit Unsigned, 1 : 8bit Signed Default - 1
inElementType = 0
inputNetFile = "D:\PROCESSOR_SDK_VISION_03_03_00_00\ti_components\algorithms\REL.TIDL.01.01.00.00\modules\ti_dl\utils\tidlModelImport\deploy.prototxt"
inputParamsFile = "D:\PROCESSOR_SDK_VISION_03_03_00_00\ti_components\algorithms\REL.TIDL.01.01.00.00\modules\ti_dl\utils\tidlModelImport\cifar_deeper_320x180_iter_3038.caffemodel"
outputNetFile = "..\..\test\testvecs\config\tidl_models\tidl_net_jsegnet21v2.bin"
outputParamsFile = "..\..\test\testvecs\config\tidl_models\tidl_param_jsegnet21v2.bin"
rawSampleInData = 1
numSampleInData = 9
sampleInData = "..\..\test\testvecs\input\images_9.y"
tidlStatsTool = "..\quantStatsTool\eve_test_dl_algo.out.exe"
Could you please replicate the issue and give me some advice?