TIDL Network------------------------------------------------------
   netVersion=0x20230208 deviceName=0
   numLayers=35
   weightsElementSize=1 slopeElementSize=1  biasElementSize=2 dataElementSize=1 interElementSize=4
   quantizationStyle=TIDL_QuantStyleNP2FixedcalibrationOption=0
   isQuantStatsAvailable=1 dataFlowInfo=0xf5c0
-------------------------------------------------------
Layer 0: TIDL_DataLayer "input_original"
   weightsElementSizeInBits=8
   strideOffsetMethod=TIDL_StrideOffsetTopLeft
   numChannels=0 dataQ=0
   actParams:
      actType=TIDL_NoAct
      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)
   Data Flow Info:
      Space: 2, Base Mem: 122(0.000) - 29050(0.029)
      Size: 28928(0.029), Ch Pitch: 9290
      PadR/C: [0,0] -> [2,2], PadR/CZeros=2,2 PadR/CFillZeros=0,0
   Outputs:
      [0] numDim=4 dims=[1,3,32,256]  elementType=TIDL_UnsignedChar
         padH/W=[2,2] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[28638,9546,258]
         dataQ=0 roundBits=0
         min/maxValue=(0,0) min/maxTensorValue=(0.000000,255.000000)
         tensorScale=1.000000
-------------------------------------------------------
Layer 1: TIDL_BatchNormLayer "input"
   weightsElementSizeInBits=8
   strideOffsetMethod=TIDL_StrideOffsetTopLeft
   numChannels=3 biasQ=0 inDataQ=0 outDataQ=0 weightsQ=0
   weightScale=128.000000 biasScale=1.000000 zeroWeightValue=0
   weights: 127 127 127 
   bias   : 65408 65408 65408 
   actParams:
      actType=TIDL_NoAct
      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)
   Data Flow Info:
      Space: 1, Base Mem: 151802(0.152) - 180218(0.180)
      Size: 28416(0.028), Ch Pitch: 9408
      PadR/C: [2,2] -> [2,2], PadR/CZeros=2,2 PadR/CFillZeros=2,2
   Inputs:
      [0] 
   Outputs:
      [1] numDim=4 dims=[1,3,32,256]  elementType=TIDL_SignedChar
         padH/W=[2,2] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[28416,9408,258]
         dataQ=0 roundBits=7
         min/maxValue=(0,0) min/maxTensorValue=(-128.000000,-5.000000)
         tensorScale=1.000000
-------------------------------------------------------
Layer 2: TIDL_ConvolutionLayer "Relu_1"
   weightsElementSizeInBits=8
   strideOffsetMethod=TIDL_StrideOffsetTopLeft
   convolutionType=0 numInChannels=3 numOutChannels=64 numGroups=1
   kernelH/W=[5,5] strideH/W=[2,2] padH/W=[2,2] dilationH/W=[1,1]
   weightScale=5589.437012 biasScale=45.210957
   actParams:
      actType=TIDL_RelU
      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)
   Data Flow Info:
      Space: 1, Base Mem: 126(0.000) - 151806(0.152)
      Size: 151680(0.152), Ch Pitch: 2368
      PadR/C: [2,2] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=1,1
   Inputs:
      [1] 
   Outputs:
      [2] numDim=4 dims=[1,64,16,128]  elementType=TIDL_UnsignedChar
         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[151680,2368,129]
         dataQ=0 roundBits=7
         min/maxValue=(0,0) min/maxTensorValue=(0.000000,5.015174)
         tensorScale=43.667477
-------------------------------------------------------
Layer 3: TIDL_ConvolutionLayer "Relu_3"
   weightsElementSizeInBits=8
   strideOffsetMethod=TIDL_StrideOffsetTopLeft
   convolutionType=0 numInChannels=64 numOutChannels=64 numGroups=1
   kernelH/W=[3,3] strideH/W=[1,1] padH/W=[1,1] dilationH/W=[1,1]
   weightScale=84.536583 biasScale=26.592915
   actParams:
      actType=TIDL_RelU
      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)
   Data Flow Info:
      Space: 1, Base Mem: 151806(0.152) - 303486(0.303)
      Size: 151680(0.152), Ch Pitch: 2368
      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0
   Inputs:
      [2] 
   Outputs:
      [3] numDim=4 dims=[1,64,16,128]  elementType=TIDL_UnsignedChar
         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[151680,2368,129]
         dataQ=0 roundBits=7
         min/maxValue=(0,0) min/maxTensorValue=(0.000000,5.478533)
         tensorScale=28.839838
-------------------------------------------------------
Layer 4: TIDL_ConvolutionLayer "Conv_4"
   weightsElementSizeInBits=8
   strideOffsetMethod=TIDL_StrideOffsetTopLeft
   convolutionType=0 numInChannels=64 numOutChannels=64 numGroups=1
   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]
   weightScale=135.443420 biasScale=50.486794
   actParams:
      actType=TIDL_NoAct
      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)
   Data Flow Info:
      Space: 1, Base Mem: 151806(0.152) - 303486(0.303)
      Size: 151680(0.152), Ch Pitch: 2368
      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0
   Inputs:
      [3] 
   Outputs:
      [4] numDim=4 dims=[1,64,16,128]  elementType=TIDL_SignedChar
         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[151680,2368,129]
         dataQ=0 roundBits=8
         min/maxValue=(0,0) min/maxTensorValue=(-6.029441,4.849768)
         tensorScale=15.258462
-------------------------------------------------------
Layer 5: TIDL_EltWiseLayer "Relu_6"
   weightsElementSizeInBits=8
   strideOffsetMethod=TIDL_StrideOffsetTopLeft
   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=0
   outDataQ=0
   biasQ=0 bias:0x0
   actParams:
      actType=TIDL_RelU
      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)
   Data Flow Info:
      Space: 1, Base Mem: 126(0.000) - 151806(0.152)
      Size: 151680(0.152), Ch Pitch: 2368
      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=0,1
   Inputs:
      [2] [4] 
   Outputs:
      [5] numDim=4 dims=[1,64,16,128]  elementType=TIDL_UnsignedChar
         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[151680,2368,129]
         dataQ=0 roundBits=6
         min/maxValue=(0,0) min/maxTensorValue=(0.000000,4.849768)
         tensorScale=15.258462
-------------------------------------------------------
Layer 6: TIDL_ConvolutionLayer "Relu_8"
   weightsElementSizeInBits=8
   strideOffsetMethod=TIDL_StrideOffsetTopLeft
   convolutionType=0 numInChannels=64 numOutChannels=64 numGroups=1
   kernelH/W=[3,3] strideH/W=[1,1] padH/W=[1,1] dilationH/W=[1,1]
   weightScale=335.156189 biasScale=33.245770
   actParams:
      actType=TIDL_RelU
      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)
   Data Flow Info:
      Space: 1, Base Mem: 151806(0.152) - 303486(0.303)
      Size: 151680(0.152), Ch Pitch: 2368
      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0
   Inputs:
      [5] 
   Outputs:
      [6] numDim=4 dims=[1,64,16,128]  elementType=TIDL_UnsignedChar
         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[151680,2368,129]
         dataQ=0 roundBits=7
         min/maxValue=(0,0) min/maxTensorValue=(0.000000,4.680514)
         tensorScale=39.952873
-------------------------------------------------------
Layer 7: TIDL_ConvolutionLayer "Conv_9"
   weightsElementSizeInBits=8
   strideOffsetMethod=TIDL_StrideOffsetTopLeft
   convolutionType=0 numInChannels=64 numOutChannels=64 numGroups=1
   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]
   weightScale=81.699043 biasScale=39.115410
   actParams:
      actType=TIDL_NoAct
      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)
   Data Flow Info:
      Space: 1, Base Mem: 151806(0.152) - 303486(0.303)
      Size: 151680(0.152), Ch Pitch: 2368
      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0
   Inputs:
      [6] 
   Outputs:
      [7] numDim=4 dims=[1,64,16,128]  elementType=TIDL_SignedChar
         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[151680,2368,129]
         dataQ=0 roundBits=9
         min/maxValue=(0,0) min/maxTensorValue=(-13.489735,7.999727)
         tensorScale=6.375218
-------------------------------------------------------
Layer 8: TIDL_EltWiseLayer "Relu_11"
   weightsElementSizeInBits=8
   strideOffsetMethod=TIDL_StrideOffsetTopLeft
   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=0
   outDataQ=0
   biasQ=0 bias:0x0
   actParams:
      actType=TIDL_RelU
      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)
   Data Flow Info:
      Space: 1, Base Mem: 126(0.000) - 151806(0.152)
      Size: 151680(0.152), Ch Pitch: 2368
      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=0,1
   Inputs:
      [5] [7] 
   Outputs:
      [8] numDim=4 dims=[1,64,16,128]  elementType=TIDL_UnsignedChar
         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[151680,2368,129]
         dataQ=0 roundBits=5
         min/maxValue=(0,0) min/maxTensorValue=(0.000000,9.960443)
         tensorScale=12.750436
-------------------------------------------------------
Layer 9: TIDL_ConvolutionLayer "Relu_13"
   weightsElementSizeInBits=8
   strideOffsetMethod=TIDL_StrideOffsetTopLeft
   convolutionType=0 numInChannels=64 numOutChannels=128 numGroups=1
   kernelH/W=[3,3] strideH/W=[2,2] padH/W=[1,1] dilationH/W=[1,1]
   weightScale=1182.014282 biasScale=92.814178
   actParams:
      actType=TIDL_RelU
      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)
   Data Flow Info:
      Space: 1, Base Mem: 151742(0.152) - 241982(0.242)
      Size: 90240(0.090), Ch Pitch: 704
      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=1,1
   Inputs:
      [8] 
   Outputs:
      [9] numDim=4 dims=[1,128,8,64]  elementType=TIDL_UnsignedChar
         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[90240,704,65]
         dataQ=0 roundBits=9
         min/maxValue=(0,0) min/maxTensorValue=(0.000000,4.586232)
         tensorScale=29.435932
-------------------------------------------------------
Layer 10: TIDL_ConvolutionLayer "Relu_15"
   weightsElementSizeInBits=8
   strideOffsetMethod=TIDL_StrideOffsetTopLeft
   convolutionType=0 numInChannels=128 numOutChannels=128 numGroups=1
   kernelH/W=[3,3] strideH/W=[1,1] padH/W=[1,1] dilationH/W=[1,1]
   weightScale=374.613922 biasScale=56.517529
   actParams:
      actType=TIDL_RelU
      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)
   Data Flow Info:
      Space: 1, Base Mem: 62(0.000) - 90302(0.090)
      Size: 90240(0.090), Ch Pitch: 704
      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0
   Inputs:
      [9] 
   Outputs:
      [10] numDim=4 dims=[1,128,8,64]  elementType=TIDL_UnsignedChar
         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[90240,704,65]
         dataQ=0 roundBits=8
         min/maxValue=(0,0) min/maxTensorValue=(0.000000,5.084197)
         tensorScale=43.074650
-------------------------------------------------------
Layer 11: TIDL_ConvolutionLayer "Conv_16"
   weightsElementSizeInBits=8
   strideOffsetMethod=TIDL_StrideOffsetTopLeft
   convolutionType=0 numInChannels=128 numOutChannels=128 numGroups=1
   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]
   weightScale=152.050888 biasScale=51.772449
   actParams:
      actType=TIDL_NoAct
      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)
   Data Flow Info:
      Space: 1, Base Mem: 62(0.000) - 90302(0.090)
      Size: 90240(0.090), Ch Pitch: 704
      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0
   Inputs:
      [10] 
   Outputs:
      [11] numDim=4 dims=[1,128,8,64]  elementType=TIDL_SignedChar
         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[90240,704,65]
         dataQ=0 roundBits=9
         min/maxValue=(0,0) min/maxTensorValue=(-6.019355,6.644743)
         tensorScale=12.792068
-------------------------------------------------------
Layer 12: TIDL_EltWiseLayer "Relu_18"
   weightsElementSizeInBits=8
   strideOffsetMethod=TIDL_StrideOffsetTopLeft
   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=0
   outDataQ=0
   biasQ=0 bias:0x0
   actParams:
      actType=TIDL_RelU
      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)
   Data Flow Info:
      Space: 1, Base Mem: 62(0.000) - 90302(0.090)
      Size: 90240(0.090), Ch Pitch: 704
      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=1,1
   Inputs:
      [9] [11] 
   Outputs:
      [12] numDim=4 dims=[1,128,8,64]  elementType=TIDL_UnsignedChar
         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[90240,704,65]
         dataQ=0 roundBits=6
         min/maxValue=(0,0) min/maxTensorValue=(0.000000,8.286386)
         tensorScale=12.792068
-------------------------------------------------------
Layer 13: TIDL_ConvolutionLayer "Relu_20"
   weightsElementSizeInBits=8
   strideOffsetMethod=TIDL_StrideOffsetTopLeft
   convolutionType=0 numInChannels=128 numOutChannels=128 numGroups=1
   kernelH/W=[3,3] strideH/W=[1,1] padH/W=[1,1] dilationH/W=[1,1]
   weightScale=863.135315 biasScale=55.477596
   actParams:
      actType=TIDL_RelU
      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)
   Data Flow Info:
      Space: 1, Base Mem: 90302(0.090) - 180542(0.181)
      Size: 90240(0.090), Ch Pitch: 704
      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0
   Inputs:
      [12] 
   Outputs:
      [13] numDim=4 dims=[1,128,8,64]  elementType=TIDL_UnsignedChar
         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[90240,704,65]
         dataQ=0 roundBits=8
         min/maxValue=(0,0) min/maxTensorValue=(0.000000,5.355898)
         tensorScale=43.130020
-------------------------------------------------------
Layer 14: TIDL_ConvolutionLayer "Conv_21"
   weightsElementSizeInBits=8
   strideOffsetMethod=TIDL_StrideOffsetTopLeft
   convolutionType=0 numInChannels=128 numOutChannels=128 numGroups=1
   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]
   weightScale=129.051208 biasScale=53.703266
   actParams:
      actType=TIDL_NoAct
      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)
   Data Flow Info:
      Space: 1, Base Mem: 180414(0.180) - 270654(0.271)
      Size: 90240(0.090), Ch Pitch: 704
      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0
   Inputs:
      [13] 
   Outputs:
      [14] numDim=4 dims=[1,128,8,64]  elementType=TIDL_SignedChar
         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[90240,704,65]
         dataQ=0 roundBits=9
         min/maxValue=(0,0) min/maxTensorValue=(-9.198737,9.014762)
         tensorScale=10.871058
-------------------------------------------------------
Layer 15: TIDL_EltWiseLayer "Relu_23"
   weightsElementSizeInBits=8
   strideOffsetMethod=TIDL_StrideOffsetTopLeft
   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=0
   outDataQ=0
   biasQ=0 bias:0x0
   actParams:
      actType=TIDL_RelU
      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)
   Data Flow Info:
      Space: 1, Base Mem: 180414(0.180) - 270654(0.271)
      Size: 90240(0.090), Ch Pitch: 704
      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=1,1
   Inputs:
      [12] [14] 
   Outputs:
      [15] numDim=4 dims=[1,128,8,64]  elementType=TIDL_UnsignedChar
         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[90240,704,65]
         dataQ=0 roundBits=7
         min/maxValue=(0,0) min/maxTensorValue=(0.000000,11.958358)
         tensorScale=5.435529
-------------------------------------------------------
Layer 16: TIDL_ConvolutionLayer "Relu_25"
   weightsElementSizeInBits=8
   strideOffsetMethod=TIDL_StrideOffsetTopLeft
   convolutionType=0 numInChannels=128 numOutChannels=256 numGroups=1
   kernelH/W=[3,3] strideH/W=[1,1] padH/W=[1,1] dilationH/W=[1,1]
   weightScale=1434.305298 biasScale=54.018948
   actParams:
      actType=TIDL_RelU
      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)
   Data Flow Info:
      Space: 1, Base Mem: 62(0.000) - 180414(0.180)
      Size: 180352(0.180), Ch Pitch: 704
      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0
   Inputs:
      [15] 
   Outputs:
      [16] numDim=4 dims=[1,256,8,64]  elementType=TIDL_UnsignedChar
         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[180352,704,65]
         dataQ=0 roundBits=8
         min/maxValue=(0,0) min/maxTensorValue=(0.000000,6.928497)
         tensorScale=30.453936
-------------------------------------------------------
Layer 17: TIDL_CustomLayer "AveragePool_28"
   weightsElementSizeInBits=8
   strideOffsetMethod=TIDL_StrideOffsetTopLeft
   customLayerType=10 padW/H=[0,0] memOverlapType=0
   forceInPlace=0
   doesLayerChangePadding=1 doesLayerFillOutXPadding=0
   rsvdPassThrough=1552448
   rsvdPassThroughSize=132
   actParams:
      actType=TIDL_NoAct
      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)
   Data Flow Info:
      Space: 1, Base Mem: 180414(0.180) - 295230(0.295)
      Size: 114816(0.115), Ch Pitch: 448
      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=1,1
   Inputs:
      [16] 
   Outputs:
      [17] numDim=4 dims=[1,256,4,64]  elementType=TIDL_UnsignedChar
         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[114816,448,65]
         dataQ=0 roundBits=0
         min/maxValue=(0,0) min/maxTensorValue=(0.000000,3.480667)
         tensorScale=30.453936
-------------------------------------------------------
Layer 18: TIDL_ConvolutionLayer "Relu_30"
   weightsElementSizeInBits=8
   strideOffsetMethod=TIDL_StrideOffsetTopLeft
   convolutionType=0 numInChannels=256 numOutChannels=256 numGroups=1
   kernelH/W=[3,3] strideH/W=[1,1] padH/W=[1,1] dilationH/W=[1,1]
   weightScale=242.596207 biasScale=65.527946
   actParams:
      actType=TIDL_RelU
      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)
   Data Flow Info:
      Space: 1, Base Mem: 62(0.000) - 114878(0.115)
      Size: 114816(0.115), Ch Pitch: 448
      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0
   Inputs:
      [17] 
   Outputs:
      [18] numDim=4 dims=[1,256,4,64]  elementType=TIDL_UnsignedChar
         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[114816,448,65]
         dataQ=0 roundBits=8
         min/maxValue=(0,0) min/maxTensorValue=(0.000000,6.098530)
         tensorScale=28.859411
-------------------------------------------------------
Layer 19: TIDL_ConvolutionLayer "Conv_31"
   weightsElementSizeInBits=8
   strideOffsetMethod=TIDL_StrideOffsetTopLeft
   convolutionType=0 numInChannels=256 numOutChannels=256 numGroups=1
   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]
   weightScale=219.986801 biasScale=64.706009
   actParams:
      actType=TIDL_NoAct
      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)
   Data Flow Info:
      Space: 1, Base Mem: 62(0.000) - 114878(0.115)
      Size: 114816(0.115), Ch Pitch: 448
      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0
   Inputs:
      [18] 
   Outputs:
      [19] numDim=4 dims=[1,256,4,64]  elementType=TIDL_SignedChar
         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[114816,448,65]
         dataQ=0 roundBits=9
         min/maxValue=(0,0) min/maxTensorValue=(-6.693665,8.709829)
         tensorScale=12.399784
-------------------------------------------------------
Layer 20: TIDL_EltWiseLayer "Relu_33"
   weightsElementSizeInBits=8
   strideOffsetMethod=TIDL_StrideOffsetTopLeft
   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=0
   outDataQ=0
   biasQ=0 bias:0x0
   actParams:
      actType=TIDL_RelU
      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)
   Data Flow Info:
      Space: 1, Base Mem: 62(0.000) - 114878(0.115)
      Size: 114816(0.115), Ch Pitch: 448
      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=1,1
   Inputs:
      [17] [19] 
   Outputs:
      [20] numDim=4 dims=[1,256,4,64]  elementType=TIDL_UnsignedChar
         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[114816,448,65]
         dataQ=0 roundBits=6
         min/maxValue=(0,0) min/maxTensorValue=(0.000000,9.435648)
         tensorScale=12.399784
-------------------------------------------------------
Layer 21: TIDL_ConvolutionLayer "Relu_35"
   weightsElementSizeInBits=8
   strideOffsetMethod=TIDL_StrideOffsetTopLeft
   convolutionType=0 numInChannels=256 numOutChannels=256 numGroups=1
   kernelH/W=[3,3] strideH/W=[1,1] padH/W=[1,1] dilationH/W=[1,1]
   weightScale=1060.996338 biasScale=62.100864
   actParams:
      actType=TIDL_RelU
      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)
   Data Flow Info:
      Space: 1, Base Mem: 721086(0.721) - 835902(0.836)
      Size: 114816(0.115), Ch Pitch: 448
      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0
   Inputs:
      [20] 
   Outputs:
      [21] numDim=4 dims=[1,256,4,64]  elementType=TIDL_UnsignedChar
         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[114816,448,65]
         dataQ=0 roundBits=9
         min/maxValue=(0,0) min/maxTensorValue=(0.000000,7.588860)
         tensorScale=25.695559
-------------------------------------------------------
Layer 22: TIDL_ConvolutionLayer "Conv_36"
   weightsElementSizeInBits=8
   strideOffsetMethod=TIDL_StrideOffsetTopLeft
   convolutionType=0 numInChannels=256 numOutChannels=256 numGroups=1
   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]
   weightScale=159.329056 biasScale=61.402149
   actParams:
      actType=TIDL_NoAct
      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)
   Data Flow Info:
      Space: 1, Base Mem: 114878(0.115) - 229694(0.230)
      Size: 114816(0.115), Ch Pitch: 448
      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0
   Inputs:
      [21] 
   Outputs:
      [22] numDim=4 dims=[1,256,4,64]  elementType=TIDL_SignedChar
         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[114816,448,65]
         dataQ=0 roundBits=8
         min/maxValue=(0,0) min/maxTensorValue=(-8.003812,7.941282)
         tensorScale=15.992379
-------------------------------------------------------
Layer 23: TIDL_EltWiseLayer "Relu_38"
   weightsElementSizeInBits=8
   strideOffsetMethod=TIDL_StrideOffsetTopLeft
   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=0
   outDataQ=0
   biasQ=0 bias:0x0
   actParams:
      actType=TIDL_RelU
      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)
   Data Flow Info:
      Space: 1, Base Mem: 62(0.000) - 114878(0.115)
      Size: 114816(0.115), Ch Pitch: 448
      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=1,1
   Inputs:
      [20] [22] 
   Outputs:
      [23] numDim=4 dims=[1,256,4,64]  elementType=TIDL_UnsignedChar
         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[114816,448,65]
         dataQ=0 roundBits=7
         min/maxValue=(0,0) min/maxTensorValue=(0.000000,12.338924)
         tensorScale=6.199892
-------------------------------------------------------
Layer 24: TIDL_ConvolutionLayer "Relu_40"
   weightsElementSizeInBits=8
   strideOffsetMethod=TIDL_StrideOffsetTopLeft
   convolutionType=0 numInChannels=256 numOutChannels=512 numGroups=1
   kernelH/W=[3,3] strideH/W=[1,1] padH/W=[1,1] dilationH/W=[1,1]
   weightScale=1537.849243 biasScale=64.220161
   actParams:
      actType=TIDL_RelU
      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)
   Data Flow Info:
      Space: 1, Base Mem: 1327294(1.327) - 1556798(1.557)
      Size: 229504(0.230), Ch Pitch: 448
      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0
   Inputs:
      [23] 
   Outputs:
      [24] numDim=4 dims=[1,512,4,64]  elementType=TIDL_UnsignedChar
         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[229504,448,65]
         dataQ=0 roundBits=8
         min/maxValue=(0,0) min/maxTensorValue=(0.000000,3.970716)
         tensorScale=37.244137
-------------------------------------------------------
Layer 25: TIDL_CustomLayer "AveragePool_43"
   weightsElementSizeInBits=8
   strideOffsetMethod=TIDL_StrideOffsetTopLeft
   customLayerType=10 padW/H=[0,0] memOverlapType=0
   forceInPlace=0
   doesLayerChangePadding=1 doesLayerFillOutXPadding=0
   rsvdPassThrough=4046080
   rsvdPassThroughSize=132
   actParams:
      actType=TIDL_NoAct
      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)
   Data Flow Info:
      Space: 1, Base Mem: 62(0.000) - 164030(0.164)
      Size: 163968(0.164), Ch Pitch: 320
      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=1,1
   Inputs:
      [24] 
   Outputs:
      [25] numDim=4 dims=[1,512,2,64]  elementType=TIDL_UnsignedChar
         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[163968,320,65]
         dataQ=0 roundBits=0
         min/maxValue=(0,0) min/maxTensorValue=(0.000000,3.659287)
         tensorScale=37.244137
-------------------------------------------------------
Layer 26: TIDL_ConvolutionLayer "Relu_45"
   weightsElementSizeInBits=8
   strideOffsetMethod=TIDL_StrideOffsetTopLeft
   convolutionType=0 numInChannels=512 numOutChannels=512 numGroups=1
   kernelH/W=[3,3] strideH/W=[1,1] padH/W=[1,1] dilationH/W=[1,1]
   weightScale=217.754349 biasScale=76.568848
   actParams:
      actType=TIDL_RelU
      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)
   Data Flow Info:
      Space: 1, Base Mem: 164030(0.164) - 342718(0.343)
      Size: 178688(0.179), Ch Pitch: 320
      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0
   Inputs:
      [25] 
   Outputs:
      [26] numDim=4 dims=[1,512,2,64]  elementType=TIDL_UnsignedChar
         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[178688,320,65]
         dataQ=0 roundBits=9
         min/maxValue=(0,0) min/maxTensorValue=(0.000000,8.201244)
         tensorScale=15.839986
-------------------------------------------------------
Layer 27: TIDL_ConvolutionLayer "Conv_46"
   weightsElementSizeInBits=8
   strideOffsetMethod=TIDL_StrideOffsetTopLeft
   convolutionType=0 numInChannels=512 numOutChannels=512 numGroups=1
   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]
   weightScale=65.296753 biasScale=90.534363
   actParams:
      actType=TIDL_NoAct
      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)
   Data Flow Info:
      Space: 1, Base Mem: 342718(0.343) - 506686(0.507)
      Size: 163968(0.164), Ch Pitch: 320
      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0
   Inputs:
      [26] 
   Outputs:
      [27] numDim=4 dims=[1,512,2,64]  elementType=TIDL_SignedChar
         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[163968,320,65]
         dataQ=0 roundBits=8
         min/maxValue=(0,0) min/maxTensorValue=(-22.966780,6.890034)
         tensorScale=4.040233
-------------------------------------------------------
Layer 28: TIDL_EltWiseLayer "Relu_48"
   weightsElementSizeInBits=8
   strideOffsetMethod=TIDL_StrideOffsetTopLeft
   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=0
   outDataQ=0
   biasQ=0 bias:0x0
   actParams:
      actType=TIDL_RelU
      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)
   Data Flow Info:
      Space: 1, Base Mem: 2705598(2.706) - 2869566(2.870)
      Size: 163968(0.164), Ch Pitch: 320
      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0
   Inputs:
      [25] [27] 
   Outputs:
      [28] numDim=4 dims=[1,512,2,64]  elementType=TIDL_UnsignedChar
         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[163968,320,65]
         dataQ=0 roundBits=3
         min/maxValue=(0,0) min/maxTensorValue=(0.000000,7.320661)
         tensorScale=32.321865
-------------------------------------------------------
Layer 29: TIDL_CustomLayer "AveragePool_51"
   weightsElementSizeInBits=8
   strideOffsetMethod=TIDL_StrideOffsetTopLeft
   customLayerType=10 padW/H=[0,0] memOverlapType=0
   forceInPlace=0
   doesLayerChangePadding=1 doesLayerFillOutXPadding=0
   rsvdPassThrough=6669760
   rsvdPassThroughSize=132
   actParams:
      actType=TIDL_NoAct
      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)
   Data Flow Info:
      Space: 1, Base Mem: 62(0.000) - 164030(0.164)
      Size: 163968(0.164), Ch Pitch: 320
      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=0,1
   Inputs:
      [28] 
   Outputs:
      [29] numDim=4 dims=[1,512,1,64]  elementType=TIDL_UnsignedChar
         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[163968,320,65]
         dataQ=0 roundBits=0
         min/maxValue=(0,0) min/maxTensorValue=(0.000000,6.459406)
         tensorScale=32.321865
-------------------------------------------------------
Layer 30: TIDL_ConvolutionLayer "Relu_53"
   weightsElementSizeInBits=8
   strideOffsetMethod=TIDL_StrideOffsetTopLeft
   convolutionType=0 numInChannels=512 numOutChannels=512 numGroups=1
   kernelH/W=[3,3] strideH/W=[1,1] padH/W=[1,1] dilationH/W=[1,1]
   weightScale=96.074989 biasScale=61.909897
   actParams:
      actType=TIDL_RelU
      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)
   Data Flow Info:
      Space: 1, Base Mem: 2705598(2.706) - 2879806(2.880)
      Size: 174208(0.174), Ch Pitch: 320
      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0
   Inputs:
      [29] 
   Outputs:
      [30] numDim=4 dims=[1,512,1,64]  elementType=TIDL_UnsignedChar
         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[174208,320,65]
         dataQ=0 roundBits=7
         min/maxValue=(0,0) min/maxTensorValue=(0.000000,9.370781)
         tensorScale=24.260334
-------------------------------------------------------
Layer 31: TIDL_ConvolutionLayer "Conv_54"
   weightsElementSizeInBits=8
   strideOffsetMethod=TIDL_StrideOffsetTopLeft
   convolutionType=0 numInChannels=512 numOutChannels=512 numGroups=1
   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]
   weightScale=70.077126 biasScale=84.921204
   actParams:
      actType=TIDL_NoAct
      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)
   Data Flow Info:
      Space: 1, Base Mem: 164030(0.164) - 327998(0.328)
      Size: 163968(0.164), Ch Pitch: 320
      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0
   Inputs:
      [30] 
   Outputs:
      [31] numDim=4 dims=[1,512,1,64]  elementType=TIDL_SignedChar
         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[163968,320,65]
         dataQ=0 roundBits=8
         min/maxValue=(0,0) min/maxTensorValue=(-11.527294,7.335551)
         tensorScale=6.640994
-------------------------------------------------------
Layer 32: TIDL_EltWiseLayer "Relu_56"
   weightsElementSizeInBits=8
   strideOffsetMethod=TIDL_StrideOffsetTopLeft
   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=0
   outDataQ=0
   biasQ=0 bias:0x0
   actParams:
      actType=TIDL_RelU
      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)
   Data Flow Info:
      Space: 1, Base Mem: 62(0.000) - 164030(0.164)
      Size: 163968(0.164), Ch Pitch: 320
      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0
   Inputs:
      [29] [31] 
   Outputs:
      [32] numDim=4 dims=[1,512,1,64]  elementType=TIDL_UnsignedChar
         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[163968,320,65]
         dataQ=0 roundBits=5
         min/maxValue=(0,0) min/maxTensorValue=(0.000000,10.828670)
         tensorScale=13.281988
-------------------------------------------------------
Layer 33: TIDL_ConvolutionLayer "Conv_77"
   weightsElementSizeInBits=8
   strideOffsetMethod=TIDL_StrideOffsetTopLeft
   convolutionType=0 numInChannels=512 numOutChannels=97 numGroups=1
   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]
   weightScale=54.928677 biasScale=0.000000
   actParams:
      actType=TIDL_NoAct
      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)
   Data Flow Info:
      Space: 2, Base Mem: 62(0.000) - 38334(0.038)
      Size: 38272(0.038), Ch Pitch: 384
      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0
   Inputs:
      [32] 
   Outputs:
      [33] numDim=4 dims=[1,97,1,64]  elementType=TIDL_SignedChar
         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[37830,390,65]
         dataQ=0 roundBits=10
         min/maxValue=(0,0) min/maxTensorValue=(-136.751953,65.119980)
         tensorScale=0.712463
-------------------------------------------------------
Layer 34: TIDL_DataLayer "input_original"
   weightsElementSizeInBits=8
   strideOffsetMethod=TIDL_StrideOffsetTopLeft
   numChannels=0 dataQ=0
   actParams:
      actType=TIDL_NoAct
      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)
   Data Flow Info:
      Space: 2, Base Mem: 122(0.000) - 29050(0.029)
      Size: 28928(0.029), Ch Pitch: 9290
      PadR/C: [1,1] -> [0,0], PadR/CZeros=0,0 PadR/CFillZeros=0,0
   Inputs:
      [33] 
TIDL IO Buffers --------------------------------------------------
   Input[0]:
      inDataFormat=TIDL_inDataFormatBGRPlanar Size(CHW)=[3,32,256] inChannelPitch=9546
      Resize H/W=[32,256] inResizeType=TIDL_inResizeTypeDefault
      inPad T/B/L/R=[2,3,2,0] inPadCh=0
      inElementType=TIDL_UnsignedChar rawDataInElementType=TIDL_UnsignedChar
      inDataId=0 inDataName=input_original inTensorScale=1.000000
   Output[0]:
      Size(CHW)=[97,1,64] outChannelPitch=390
      outPad T/B/L/R=[1,4,1,0] outPadCh=2
      outElementType=TIDL_SignedChar
      outDataId=33 outDataName=Conv_77
