# Default - 0
randParams         = 0 

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

# 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       = 12
 
inputNetFile       = "..\..\test\testvecs\config\tensorflow_models\graph_frozen.pb"
inputParamsFile    = "NA"
outputNetFile      = "..\..\test\testvecs\config\tidl_models\tidl_net_frozen_cnn.bin"
outputParamsFile   = "..\..\test\testvecs\config\tidl_models\tidl_param_frozen_cnn.bin"

preProcType  = 2
sampleInData = "..\..\test\testvecs\input\car_416x416_p.rgb"
tidlStatsTool = "..\quantStatsTool\eve_test_dl_algo.out.exe"

inWidth  = 416
inHeight = 416 
inNumChannels = 3
rawSampleInData = 1