# 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      = 50

numParamBits       = 8

inElementType      = 0

rawSampleInData    = 1

numSampleInData    = 10
 
inputNetFile       = "..\..\test\testvecs\config\caffe_jacinto_models\mnist\lenet.prototxt"
inputParamsFile    = "..\..\test\testvecs\config\caffe_jacinto_models\mnist\lenet_iter_10000.caffemodel"
outputNetFile      = "..\..\test\testvecs\config\tidl_models\mnist\tidl_mnist_caffe_jacinto_016_net.bin"
outputParamsFile   = "..\..\test\testvecs\config\tidl_models\mnist\tidl_mnist_caffe_jacinto_016_param.bin"

sampleInData = "..\..\test\testvecs\input\t10k-images.idx3-ubyte"
tidlStatsTool = "..\quantStatsTool\eve_test_dl_algo.out.exe"


inWidth  = 28
inHeight = 28 
inNumChannels = 1