modelType          = 2
numParamBits       = 8
numFeatureBits     = 8
quantizationStyle  = 3
#quantizationStyle  = 2
inWidth = 304
inHeight = 304
inNumChannels = 3
inputNetFile       = "../../test/testvecs/models/public/onnx/model.onnx"
outputNetFile      = "../../test/testvecs/config/tidl_models/onnx/tidl_net_pele.bin"
outputParamsFile   = "../../test/testvecs/config/tidl_models/onnx/tidl_io_pele_"
inDataNorm  = 1
inMean = 104 117 123
inScale = 0.0170000009239 0.0170000009239 0.0170000009239
numFrames = 1
inData  =   "../../test/testvecs/config/detection_list.txt"
perfSimConfig = ../../test/testvecs/config/import/device_config.cfg
inElementType = 0
#outDataNamesList = "convolution_output,convolution_output1,convolution_output2"
metaArchType = 1
#metaLayersNamesList =  "../../test/testvecs/config/import/public/onnx/tidl_import_yolo3_metaarch.prototxt"
postProcType = 2
#metaLayersNamesList =  ../../test/testvecs/models/public/onnx/rfb_mobilenet_v2_coco.prototxt