# Default - 0
randParams         = 0 

# 0: Caffe, 1: TensorFlow, Default - 0
modelType          = 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

numParamBits       = 8
# 0 : 8bit Unsigned, 1 : 8bit Signed Default - 1
inElementType      = 0

inputNetFile       = "..\..\test\testvecs\config\caffe_jacinto_models\trained\image_classification\cifar10_jacintonet11v2\sparse\deploy.prototxt"
inputParamsFile    = "..\..\test\testvecs\config\caffe_jacinto_models\trained\image_classification\cifar10_jacintonet11v2\sparse\cifar10_jacintonet11v2_iter_64000.caffemodel"
outputNetFile      = "..\..\test\testvecs\config\tidl_models\tidl_net_cifar_jacintonet11v2.bin"
outputParamsFile   = "..\..\test\testvecs\config\tidl_models\tidl_param_cifar_jacintonet11v2.bin"

preProcType  = 3
sampleInData = "..\..\test\testvecs\input\00002.png"
tidlStatsTool = "..\quantStatsTool\eve_test_dl_algo.out.exe"