Part Number:TDA2
Hi,
I'm importing the Caffe LeNet model and the tool crashes when processing Fully Connected Layer 1. The inputs to the fc1 layer is 9216 (64x12x12 Flattened) and num of outputs are 1024.
Here is the import file.
# 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\pp_lenet_model\lenet.prototxt"
inputParamsFile = "..\..\test\testvecs\config\pp_lenet_model\lenet.caffemodel"
outputNetFile = "..\..\test\testvecs\config\tidl_models\NET_OD.BIN"
outputParamsFile = "..\..\test\testvecs\config\tidl_models\PRM_OD.BIN"
rawSampleInData = 1
preProcType = 4
sampleInData = "..\..\test\testvecs\input\lenet_48_48.y"
tidlStatsTool = "..\quantStatsTool\eve_test_dl_algo.out.exe"
Regards,
Navinprashath.R.R