../../data/model_data/resnet50_tf_tflite_16bit_299_all/tempDir/0_tidl_net.bin Layer 0: TIDL_DataLayer "input_1"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 dataQ=0   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 2, Base Mem: 46963046(46.963) - 47516774(47.517)      Size: 553728(0.554), Ch Pitch: 184226      PadR/C: [0,0] -> [3,3], PadR/CZeros=3,3 PadR/CFillZeros=0,0   Outputs:      [0] numDim=4 dims=[1,3,299,299]  elementType=TIDL_SignedShort         padH/W=[3,3] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[277236,92412,302]         dataQ=0 roundBits=0         min/maxValue=(0,0) min/maxTensorValue=(0.000000,255.000000)         tensorScale=128.000000 Data [0 0] Layer 1: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv1_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=3 numOutChannels=64 numGroups=1   kernelH/W=[7,7] strideH/W=[2,2] padH/W=[3,3] dilationH/W=[1,1]   weightScale=1324326.500000 biasScale=5173.150391   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 0(0.000) - 2887808(2.888)      Size: 2887808(2.888), Ch Pitch: 45120      PadR/C: [3,3] -> [0,0], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [0] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [1] numDim=4 dims=[1,64,150,150]  elementType=TIDL_UnsignedShort         padH/W=[0,0] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[1443904,22560,150]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,9.100060)         tensorScale=5173.150391 Convolution [1 1] Layer 0: TIDL_DataLayer "input_1"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 dataQ=0   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 2, Base Mem: 46963046(46.963) - 47516774(47.517)      Size: 553728(0.554), Ch Pitch: 184226      PadR/C: [0,0] -> [3,3], PadR/CZeros=3,3 PadR/CFillZeros=0,0   Outputs:      [0] numDim=4 dims=[1,3,299,299]  elementType=TIDL_SignedShort         padH/W=[3,3] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[277236,92412,302]         dataQ=0 roundBits=0         min/maxValue=(0,0) min/maxTensorValue=(0.000000,255.000000)         tensorScale=128.000000 ->Layer 1: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv1_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=3 numOutChannels=64 numGroups=1   kernelH/W=[7,7] strideH/W=[2,2] padH/W=[3,3] dilationH/W=[1,1]   weightScale=1324326.500000 biasScale=5173.150391   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 0(0.000) - 2887808(2.888)      Size: 2887808(2.888), Ch Pitch: 45120      PadR/C: [3,3] -> [0,0], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [0] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [1] numDim=4 dims=[1,64,150,150]  elementType=TIDL_UnsignedShort         padH/W=[0,0] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[1443904,22560,150]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,9.100060)         tensorScale=5173.150391 1x3x299x299 Layer 2: TIDL_DepthToSpaceLayer "model/resnet50_1/resnet50/pool1_pad/Pad"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 2887884(2.888) - 5906764(5.907)      Size: 3018880(3.019), Ch Pitch: 47168      PadR/C: [0,0] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=1,1   Inputs:      [1] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [2] numDim=4 dims=[1,64,152,152]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[1509440,23584,153]         dataQ=0 roundBits=0         min/maxValue=(0,0) min/maxTensorValue=(0.000000,9.091740)         tensorScale=5173.150391 Pad [2 2] Layer 1: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv1_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=3 numOutChannels=64 numGroups=1   kernelH/W=[7,7] strideH/W=[2,2] padH/W=[3,3] dilationH/W=[1,1]   weightScale=1324326.500000 biasScale=5173.150391   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 0(0.000) - 2887808(2.888)      Size: 2887808(2.888), Ch Pitch: 45120      PadR/C: [3,3] -> [0,0], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [0] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [1] numDim=4 dims=[1,64,150,150]  elementType=TIDL_UnsignedShort         padH/W=[0,0] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[1443904,22560,150]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,9.100060)         tensorScale=5173.150391 ->Layer 2: TIDL_DepthToSpaceLayer "model/resnet50_1/resnet50/pool1_pad/Pad"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 2887884(2.888) - 5906764(5.907)      Size: 3018880(3.019), Ch Pitch: 47168      PadR/C: [0,0] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=1,1   Inputs:      [1] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [2] numDim=4 dims=[1,64,152,152]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[1509440,23584,153]         dataQ=0 roundBits=0         min/maxValue=(0,0) min/maxTensorValue=(0.000000,9.091740)         tensorScale=5173.150391 1x64x150x150 Layer 3: TIDL_PoolingLayer "model/resnet50_1/resnet50/pool1_pool/MaxPool"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   poolingtype=TIDL_MaxPooling numChannels=0   inDataQ=0 outDataQ=0 useCeil=0   kernelH/W=[3,3] strideH/W=[2,2] padH/W=[0,0]   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 5914790(5.915) - 6664486(6.664)      Size: 749696(0.750), Ch Pitch: 11712      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [2] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [3] numDim=4 dims=[1,64,75,75]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[374848,5856,76]         dataQ=0 roundBits=0         min/maxValue=(0,0) min/maxTensorValue=(0.000000,9.412879)         tensorScale=5173.150391 Pooling [3 3] Layer 2: TIDL_DepthToSpaceLayer "model/resnet50_1/resnet50/pool1_pad/Pad"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 2887884(2.888) - 5906764(5.907)      Size: 3018880(3.019), Ch Pitch: 47168      PadR/C: [0,0] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=1,1   Inputs:      [1] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [2] numDim=4 dims=[1,64,152,152]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[1509440,23584,153]         dataQ=0 roundBits=0         min/maxValue=(0,0) min/maxTensorValue=(0.000000,9.091740)         tensorScale=5173.150391 ->Layer 3: TIDL_PoolingLayer "model/resnet50_1/resnet50/pool1_pool/MaxPool"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   poolingtype=TIDL_MaxPooling numChannels=0   inDataQ=0 outDataQ=0 useCeil=0   kernelH/W=[3,3] strideH/W=[2,2] padH/W=[0,0]   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 5914790(5.915) - 6664486(6.664)      Size: 749696(0.750), Ch Pitch: 11712      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [2] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [3] numDim=4 dims=[1,64,75,75]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[374848,5856,76]         dataQ=0 roundBits=0         min/maxValue=(0,0) min/maxTensorValue=(0.000000,9.412879)         tensorScale=5173.150391 1x64x152x152 Layer 4: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv2_block1_1_relu/Relu"   weightsElementSizeInBits=16   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=38982.402344 biasScale=5745.214844   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 102(0.000) - 749798(0.750)      Size: 749696(0.750), Ch Pitch: 11712      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=1,0   Inputs:      [3] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [5] numDim=4 dims=[1,64,75,75]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[374848,5856,76]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(0.000000,5.167491)         tensorScale=3077.115234 Convolution [4 5] Layer 3: TIDL_PoolingLayer "model/resnet50_1/resnet50/pool1_pool/MaxPool"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   poolingtype=TIDL_MaxPooling numChannels=0   inDataQ=0 outDataQ=0 useCeil=0   kernelH/W=[3,3] strideH/W=[2,2] padH/W=[0,0]   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 5914790(5.915) - 6664486(6.664)      Size: 749696(0.750), Ch Pitch: 11712      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [2] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [3] numDim=4 dims=[1,64,75,75]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[374848,5856,76]         dataQ=0 roundBits=0         min/maxValue=(0,0) min/maxTensorValue=(0.000000,9.412879)         tensorScale=5173.150391 ->Layer 4: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv2_block1_1_relu/Relu"   weightsElementSizeInBits=16   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=38982.402344 biasScale=5745.214844   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 102(0.000) - 749798(0.750)      Size: 749696(0.750), Ch Pitch: 11712      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=1,0   Inputs:      [3] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [5] numDim=4 dims=[1,64,75,75]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[374848,5856,76]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(0.000000,5.167491)         tensorScale=3077.115234 1x64x75x75 Layer 7: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv2_block1_0_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=64 numOutChannels=256 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=19589.380859 biasScale=2114.927002   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 2998502(2.999) - 5996902(5.997)      Size: 2998400(2.998), Ch Pitch: 11712      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [3] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [4] numDim=4 dims=[1,256,75,75]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[1499200,5856,76]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(-4.784749,4.649405)         tensorScale=6185.230469 Convolution [7 4] Layer 3: TIDL_PoolingLayer "model/resnet50_1/resnet50/pool1_pool/MaxPool"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   poolingtype=TIDL_MaxPooling numChannels=0   inDataQ=0 outDataQ=0 useCeil=0   kernelH/W=[3,3] strideH/W=[2,2] padH/W=[0,0]   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 5914790(5.915) - 6664486(6.664)      Size: 749696(0.750), Ch Pitch: 11712      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [2] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [3] numDim=4 dims=[1,64,75,75]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[374848,5856,76]         dataQ=0 roundBits=0         min/maxValue=(0,0) min/maxTensorValue=(0.000000,9.412879)         tensorScale=5173.150391 ->Layer 7: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv2_block1_0_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=64 numOutChannels=256 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=19589.380859 biasScale=2114.927002   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 2998502(2.999) - 5996902(5.997)      Size: 2998400(2.998), Ch Pitch: 11712      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [3] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [4] numDim=4 dims=[1,256,75,75]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[1499200,5856,76]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(-4.784749,4.649405)         tensorScale=6185.230469 1x64x75x75 Layer 5: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv2_block1_2_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   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=107418.054688 biasScale=6041.438477   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 102(0.000) - 749798(0.750)      Size: 749696(0.750), Ch Pitch: 11712      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=0,0   Inputs:      [5] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [6] numDim=4 dims=[1,64,75,75]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[374848,5856,76]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(0.000000,6.986159)         tensorScale=5043.605469 Convolution [5 6] Layer 4: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv2_block1_1_relu/Relu"   weightsElementSizeInBits=16   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=38982.402344 biasScale=5745.214844   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 102(0.000) - 749798(0.750)      Size: 749696(0.750), Ch Pitch: 11712      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=1,0   Inputs:      [3] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [5] numDim=4 dims=[1,64,75,75]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[374848,5856,76]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(0.000000,5.167491)         tensorScale=3077.115234 ->Layer 5: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv2_block1_2_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   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=107418.054688 biasScale=6041.438477   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 102(0.000) - 749798(0.750)      Size: 749696(0.750), Ch Pitch: 11712      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=0,0   Inputs:      [5] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [6] numDim=4 dims=[1,64,75,75]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[374848,5856,76]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(0.000000,6.986159)         tensorScale=5043.605469 1x64x75x75 Layer 6: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv2_block1_3_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=64 numOutChannels=256 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=18621.238281 biasScale=5021.835938   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 102(0.000) - 2998502(2.999)      Size: 2998400(2.998), Ch Pitch: 11712      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [6] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [7] numDim=4 dims=[1,256,75,75]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[1499200,5856,76]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(-4.602998,4.119446)         tensorScale=5732.310547 Convolution [6 7] Layer 5: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv2_block1_2_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   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=107418.054688 biasScale=6041.438477   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 102(0.000) - 749798(0.750)      Size: 749696(0.750), Ch Pitch: 11712      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=0,0   Inputs:      [5] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [6] numDim=4 dims=[1,64,75,75]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[374848,5856,76]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(0.000000,6.986159)         tensorScale=5043.605469 ->Layer 6: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv2_block1_3_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=64 numOutChannels=256 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=18621.238281 biasScale=5021.835938   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 102(0.000) - 2998502(2.999)      Size: 2998400(2.998), Ch Pitch: 11712      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [6] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [7] numDim=4 dims=[1,256,75,75]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[1499200,5856,76]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(-4.602998,4.119446)         tensorScale=5732.310547 1x64x75x75 Layer 8: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv2_block1_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 102(0.000) - 2998502(2.999)      Size: 2998400(2.998), Ch Pitch: 11712      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [4] batchPadH/W=[0,0] numBatchH/W=[1,1] [7] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [8] numDim=4 dims=[1,256,75,75]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[1499200,5856,76]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,5.232416)         tensorScale=5732.310547 EltWise [8 8] Layer 6: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv2_block1_3_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=64 numOutChannels=256 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=18621.238281 biasScale=5021.835938   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 102(0.000) - 2998502(2.999)      Size: 2998400(2.998), Ch Pitch: 11712      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [6] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [7] numDim=4 dims=[1,256,75,75]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[1499200,5856,76]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(-4.602998,4.119446)         tensorScale=5732.310547 ->Layer 8: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv2_block1_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 102(0.000) - 2998502(2.999)      Size: 2998400(2.998), Ch Pitch: 11712      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [4] batchPadH/W=[0,0] numBatchH/W=[1,1] [7] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [8] numDim=4 dims=[1,256,75,75]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[1499200,5856,76]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,5.232416)         tensorScale=5732.310547 1x256x75x75 Layer 7: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv2_block1_0_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=64 numOutChannels=256 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=19589.380859 biasScale=2114.927002   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 2998502(2.999) - 5996902(5.997)      Size: 2998400(2.998), Ch Pitch: 11712      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [3] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [4] numDim=4 dims=[1,256,75,75]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[1499200,5856,76]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(-4.784749,4.649405)         tensorScale=6185.230469 ->Layer 8: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv2_block1_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 102(0.000) - 2998502(2.999)      Size: 2998400(2.998), Ch Pitch: 11712      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [4] batchPadH/W=[0,0] numBatchH/W=[1,1] [7] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [8] numDim=4 dims=[1,256,75,75]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[1499200,5856,76]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,5.232416)         tensorScale=5732.310547 1x256x75x75 Layer 9: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv2_block2_1_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=256 numOutChannels=64 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=49624.480469 biasScale=6428.764648   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 2998502(2.999) - 3748198(3.748)      Size: 749696(0.750), Ch Pitch: 11712      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=1,0   Inputs:      [8] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [9] numDim=4 dims=[1,64,75,75]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[374848,5856,76]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(0.000000,4.114523)         tensorScale=4340.560059 Convolution [9 9] Layer 8: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv2_block1_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 102(0.000) - 2998502(2.999)      Size: 2998400(2.998), Ch Pitch: 11712      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [4] batchPadH/W=[0,0] numBatchH/W=[1,1] [7] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [8] numDim=4 dims=[1,256,75,75]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[1499200,5856,76]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,5.232416)         tensorScale=5732.310547 ->Layer 9: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv2_block2_1_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=256 numOutChannels=64 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=49624.480469 biasScale=6428.764648   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 2998502(2.999) - 3748198(3.748)      Size: 749696(0.750), Ch Pitch: 11712      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=1,0   Inputs:      [8] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [9] numDim=4 dims=[1,64,75,75]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[374848,5856,76]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(0.000000,4.114523)         tensorScale=4340.560059 1x256x75x75 Layer 12: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv2_block2_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 102(0.000) - 2998502(2.999)      Size: 2998400(2.998), Ch Pitch: 11712      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [8] batchPadH/W=[0,0] numBatchH/W=[1,1] [11] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [12] numDim=4 dims=[1,256,75,75]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[1499200,5856,76]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,6.098360)         tensorScale=2505.875732 EltWise [12 12] Layer 8: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv2_block1_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 102(0.000) - 2998502(2.999)      Size: 2998400(2.998), Ch Pitch: 11712      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [4] batchPadH/W=[0,0] numBatchH/W=[1,1] [7] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [8] numDim=4 dims=[1,256,75,75]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[1499200,5856,76]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,5.232416)         tensorScale=5732.310547 ->Layer 12: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv2_block2_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 102(0.000) - 2998502(2.999)      Size: 2998400(2.998), Ch Pitch: 11712      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [8] batchPadH/W=[0,0] numBatchH/W=[1,1] [11] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [12] numDim=4 dims=[1,256,75,75]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[1499200,5856,76]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,6.098360)         tensorScale=2505.875732 1x256x75x75 Layer 10: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv2_block2_2_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   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=54318.851562 biasScale=11806.787109   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 2998502(2.999) - 3748198(3.748)      Size: 749696(0.750), Ch Pitch: 11712      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=0,0   Inputs:      [9] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [10] numDim=4 dims=[1,64,75,75]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[374848,5856,76]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,4.806166)         tensorScale=7195.258789 Convolution [10 10] Layer 9: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv2_block2_1_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=256 numOutChannels=64 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=49624.480469 biasScale=6428.764648   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 2998502(2.999) - 3748198(3.748)      Size: 749696(0.750), Ch Pitch: 11712      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=1,0   Inputs:      [8] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [9] numDim=4 dims=[1,64,75,75]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[374848,5856,76]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(0.000000,4.114523)         tensorScale=4340.560059 ->Layer 10: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv2_block2_2_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   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=54318.851562 biasScale=11806.787109   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 2998502(2.999) - 3748198(3.748)      Size: 749696(0.750), Ch Pitch: 11712      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=0,0   Inputs:      [9] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [10] numDim=4 dims=[1,64,75,75]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[374848,5856,76]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,4.806166)         tensorScale=7195.258789 1x64x75x75 Layer 11: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv2_block2_3_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=64 numOutChannels=256 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=22824.066406 biasScale=6505.745117   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 2998502(2.999) - 5996902(5.997)      Size: 2998400(2.998), Ch Pitch: 11712      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [10] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [11] numDim=4 dims=[1,256,75,75]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[1499200,5856,76]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(-6.349858,5.534524)         tensorScale=5011.751465 Convolution [11 11] Layer 10: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv2_block2_2_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   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=54318.851562 biasScale=11806.787109   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 2998502(2.999) - 3748198(3.748)      Size: 749696(0.750), Ch Pitch: 11712      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=0,0   Inputs:      [9] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [10] numDim=4 dims=[1,64,75,75]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[374848,5856,76]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,4.806166)         tensorScale=7195.258789 ->Layer 11: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv2_block2_3_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=64 numOutChannels=256 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=22824.066406 biasScale=6505.745117   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 2998502(2.999) - 5996902(5.997)      Size: 2998400(2.998), Ch Pitch: 11712      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [10] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [11] numDim=4 dims=[1,256,75,75]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[1499200,5856,76]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(-6.349858,5.534524)         tensorScale=5011.751465 1x64x75x75 Layer 11: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv2_block2_3_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=64 numOutChannels=256 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=22824.066406 biasScale=6505.745117   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 2998502(2.999) - 5996902(5.997)      Size: 2998400(2.998), Ch Pitch: 11712      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [10] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [11] numDim=4 dims=[1,256,75,75]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[1499200,5856,76]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(-6.349858,5.534524)         tensorScale=5011.751465 ->Layer 12: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv2_block2_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 102(0.000) - 2998502(2.999)      Size: 2998400(2.998), Ch Pitch: 11712      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [8] batchPadH/W=[0,0] numBatchH/W=[1,1] [11] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [12] numDim=4 dims=[1,256,75,75]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[1499200,5856,76]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,6.098360)         tensorScale=2505.875732 1x256x75x75 Layer 13: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv2_block3_1_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=256 numOutChannels=64 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=92979.296875 biasScale=6968.001465   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 2998502(2.999) - 3748198(3.748)      Size: 749696(0.750), Ch Pitch: 11712      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=1,0   Inputs:      [12] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [13] numDim=4 dims=[1,64,75,75]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[374848,5856,76]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,3.996741)         tensorScale=7110.429688 Convolution [13 13] Layer 12: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv2_block2_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 102(0.000) - 2998502(2.999)      Size: 2998400(2.998), Ch Pitch: 11712      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [8] batchPadH/W=[0,0] numBatchH/W=[1,1] [11] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [12] numDim=4 dims=[1,256,75,75]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[1499200,5856,76]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,6.098360)         tensorScale=2505.875732 ->Layer 13: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv2_block3_1_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=256 numOutChannels=64 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=92979.296875 biasScale=6968.001465   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 2998502(2.999) - 3748198(3.748)      Size: 749696(0.750), Ch Pitch: 11712      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=1,0   Inputs:      [12] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [13] numDim=4 dims=[1,64,75,75]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[374848,5856,76]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,3.996741)         tensorScale=7110.429688 1x256x75x75 Layer 16: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv2_block3_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 102(0.000) - 2998502(2.999)      Size: 2998400(2.998), Ch Pitch: 11712      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [12] batchPadH/W=[0,0] numBatchH/W=[1,1] [15] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [16] numDim=4 dims=[1,256,75,75]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[1499200,5856,76]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,7.017040)         tensorScale=2505.875732 EltWise [16 16] Layer 12: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv2_block2_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 102(0.000) - 2998502(2.999)      Size: 2998400(2.998), Ch Pitch: 11712      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [8] batchPadH/W=[0,0] numBatchH/W=[1,1] [11] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [12] numDim=4 dims=[1,256,75,75]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[1499200,5856,76]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,6.098360)         tensorScale=2505.875732 ->Layer 16: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv2_block3_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 102(0.000) - 2998502(2.999)      Size: 2998400(2.998), Ch Pitch: 11712      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [12] batchPadH/W=[0,0] numBatchH/W=[1,1] [15] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [16] numDim=4 dims=[1,256,75,75]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[1499200,5856,76]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,7.017040)         tensorScale=2505.875732 1x256x75x75 Layer 14: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv2_block3_2_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   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=79476.398438 biasScale=14567.535156   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 2998502(2.999) - 3748198(3.748)      Size: 749696(0.750), Ch Pitch: 11712      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=0,0   Inputs:      [13] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [14] numDim=4 dims=[1,64,75,75]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[374848,5856,76]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(0.000000,6.851666)         tensorScale=8622.915039 Convolution [14 14] Layer 13: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv2_block3_1_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=256 numOutChannels=64 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=92979.296875 biasScale=6968.001465   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 2998502(2.999) - 3748198(3.748)      Size: 749696(0.750), Ch Pitch: 11712      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=1,0   Inputs:      [12] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [13] numDim=4 dims=[1,64,75,75]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[374848,5856,76]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,3.996741)         tensorScale=7110.429688 ->Layer 14: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv2_block3_2_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   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=79476.398438 biasScale=14567.535156   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 2998502(2.999) - 3748198(3.748)      Size: 749696(0.750), Ch Pitch: 11712      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=0,0   Inputs:      [13] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [14] numDim=4 dims=[1,64,75,75]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[374848,5856,76]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(0.000000,6.851666)         tensorScale=8622.915039 1x64x75x75 Layer 15: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv2_block3_3_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=64 numOutChannels=256 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=26811.591797 biasScale=8680.542969   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 2998502(2.999) - 5996902(5.997)      Size: 2998400(2.998), Ch Pitch: 11712      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [14] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [15] numDim=4 dims=[1,256,75,75]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[1499200,5856,76]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(-6.326143,5.104506)         tensorScale=3527.741699 Convolution [15 15] Layer 14: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv2_block3_2_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   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=79476.398438 biasScale=14567.535156   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 2998502(2.999) - 3748198(3.748)      Size: 749696(0.750), Ch Pitch: 11712      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=0,0   Inputs:      [13] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [14] numDim=4 dims=[1,64,75,75]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[374848,5856,76]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(0.000000,6.851666)         tensorScale=8622.915039 ->Layer 15: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv2_block3_3_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=64 numOutChannels=256 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=26811.591797 biasScale=8680.542969   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 2998502(2.999) - 5996902(5.997)      Size: 2998400(2.998), Ch Pitch: 11712      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [14] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [15] numDim=4 dims=[1,256,75,75]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[1499200,5856,76]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(-6.326143,5.104506)         tensorScale=3527.741699 1x64x75x75 Layer 15: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv2_block3_3_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=64 numOutChannels=256 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=26811.591797 biasScale=8680.542969   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 2998502(2.999) - 5996902(5.997)      Size: 2998400(2.998), Ch Pitch: 11712      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [14] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [15] numDim=4 dims=[1,256,75,75]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[1499200,5856,76]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(-6.326143,5.104506)         tensorScale=3527.741699 ->Layer 16: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv2_block3_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 102(0.000) - 2998502(2.999)      Size: 2998400(2.998), Ch Pitch: 11712      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [12] batchPadH/W=[0,0] numBatchH/W=[1,1] [15] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [16] numDim=4 dims=[1,256,75,75]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[1499200,5856,76]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,7.017040)         tensorScale=2505.875732 1x256x75x75 Layer 17: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv3_block1_0_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=256 numOutChannels=512 numGroups=1   kernelH/W=[1,1] strideH/W=[2,2] padH/W=[0,0] dilationH/W=[1,1]   weightScale=34876.035156 biasScale=5113.651367   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 2998448(2.998) - 4597040(4.597)      Size: 1598592(1.599), Ch Pitch: 3122      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [16] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [17] numDim=4 dims=[1,512,38,38]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[799296,1561,39]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(-5.982167,5.962366)         tensorScale=5334.167969 Convolution [17 17] Layer 16: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv2_block3_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 102(0.000) - 2998502(2.999)      Size: 2998400(2.998), Ch Pitch: 11712      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [12] batchPadH/W=[0,0] numBatchH/W=[1,1] [15] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [16] numDim=4 dims=[1,256,75,75]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[1499200,5856,76]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,7.017040)         tensorScale=2505.875732 ->Layer 17: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv3_block1_0_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=256 numOutChannels=512 numGroups=1   kernelH/W=[1,1] strideH/W=[2,2] padH/W=[0,0] dilationH/W=[1,1]   weightScale=34876.035156 biasScale=5113.651367   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 2998448(2.998) - 4597040(4.597)      Size: 1598592(1.599), Ch Pitch: 3122      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [16] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [17] numDim=4 dims=[1,512,38,38]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[799296,1561,39]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(-5.982167,5.962366)         tensorScale=5334.167969 1x256x75x75 Layer 18: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv3_block1_1_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=256 numOutChannels=128 numGroups=1   kernelH/W=[1,1] strideH/W=[2,2] padH/W=[0,0] dilationH/W=[1,1]   weightScale=71654.328125 biasScale=10122.733398   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 4597040(4.597) - 4998576(4.999)      Size: 401536(0.402), Ch Pitch: 3136      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=1,1   Inputs:      [16] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [18] numDim=4 dims=[1,128,38,38]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[200768,1568,39]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,4.751233)         tensorScale=5479.640137 Convolution [18 18] Layer 16: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv2_block3_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 102(0.000) - 2998502(2.999)      Size: 2998400(2.998), Ch Pitch: 11712      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [12] batchPadH/W=[0,0] numBatchH/W=[1,1] [15] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [16] numDim=4 dims=[1,256,75,75]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[1499200,5856,76]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,7.017040)         tensorScale=2505.875732 ->Layer 18: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv3_block1_1_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=256 numOutChannels=128 numGroups=1   kernelH/W=[1,1] strideH/W=[2,2] padH/W=[0,0] dilationH/W=[1,1]   weightScale=71654.328125 biasScale=10122.733398   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 4597040(4.597) - 4998576(4.999)      Size: 401536(0.402), Ch Pitch: 3136      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=1,1   Inputs:      [16] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [18] numDim=4 dims=[1,128,38,38]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[200768,1568,39]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,4.751233)         tensorScale=5479.640137 1x256x75x75 Layer 21: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv3_block1_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 48(0.000) - 1605808(1.606)      Size: 1605760(1.606), Ch Pitch: 3136      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [17] batchPadH/W=[0,0] numBatchH/W=[1,1] [20] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [21] numDim=4 dims=[1,512,38,38]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[802880,1568,39]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,7.482845)         tensorScale=3576.125977 EltWise [21 21] Layer 17: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv3_block1_0_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=256 numOutChannels=512 numGroups=1   kernelH/W=[1,1] strideH/W=[2,2] padH/W=[0,0] dilationH/W=[1,1]   weightScale=34876.035156 biasScale=5113.651367   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 2998448(2.998) - 4597040(4.597)      Size: 1598592(1.599), Ch Pitch: 3122      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [16] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [17] numDim=4 dims=[1,512,38,38]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[799296,1561,39]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(-5.982167,5.962366)         tensorScale=5334.167969 ->Layer 21: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv3_block1_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 48(0.000) - 1605808(1.606)      Size: 1605760(1.606), Ch Pitch: 3136      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [17] batchPadH/W=[0,0] numBatchH/W=[1,1] [20] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [21] numDim=4 dims=[1,512,38,38]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[802880,1568,39]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,7.482845)         tensorScale=3576.125977 1x512x38x38 Layer 19: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv3_block1_2_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   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=82651.656250 biasScale=7513.411133   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 48(0.000) - 401584(0.402)      Size: 401536(0.402), Ch Pitch: 3136      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [18] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [19] numDim=4 dims=[1,128,38,38]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[200768,1568,39]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(0.000000,4.349535)         tensorScale=6910.726074 Convolution [19 19] Layer 18: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv3_block1_1_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=256 numOutChannels=128 numGroups=1   kernelH/W=[1,1] strideH/W=[2,2] padH/W=[0,0] dilationH/W=[1,1]   weightScale=71654.328125 biasScale=10122.733398   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 4597040(4.597) - 4998576(4.999)      Size: 401536(0.402), Ch Pitch: 3136      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=1,1   Inputs:      [16] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [18] numDim=4 dims=[1,128,38,38]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[200768,1568,39]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,4.751233)         tensorScale=5479.640137 ->Layer 19: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv3_block1_2_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   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=82651.656250 biasScale=7513.411133   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 48(0.000) - 401584(0.402)      Size: 401536(0.402), Ch Pitch: 3136      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [18] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [19] numDim=4 dims=[1,128,38,38]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[200768,1568,39]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(0.000000,4.349535)         tensorScale=6910.726074 1x128x38x38 Layer 20: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv3_block1_3_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=128 numOutChannels=512 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=16956.611328 biasScale=6900.975098   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 48(0.000) - 1605808(1.606)      Size: 1605760(1.606), Ch Pitch: 3136      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [19] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [20] numDim=4 dims=[1,512,38,38]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[802880,1568,39]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(-6.379468,6.195993)         tensorScale=3576.125977 Convolution [20 20] Layer 19: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv3_block1_2_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   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=82651.656250 biasScale=7513.411133   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 48(0.000) - 401584(0.402)      Size: 401536(0.402), Ch Pitch: 3136      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [18] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [19] numDim=4 dims=[1,128,38,38]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[200768,1568,39]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(0.000000,4.349535)         tensorScale=6910.726074 ->Layer 20: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv3_block1_3_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=128 numOutChannels=512 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=16956.611328 biasScale=6900.975098   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 48(0.000) - 1605808(1.606)      Size: 1605760(1.606), Ch Pitch: 3136      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [19] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [20] numDim=4 dims=[1,512,38,38]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[802880,1568,39]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(-6.379468,6.195993)         tensorScale=3576.125977 1x128x38x38 Layer 20: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv3_block1_3_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=128 numOutChannels=512 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=16956.611328 biasScale=6900.975098   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 48(0.000) - 1605808(1.606)      Size: 1605760(1.606), Ch Pitch: 3136      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [19] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [20] numDim=4 dims=[1,512,38,38]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[802880,1568,39]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(-6.379468,6.195993)         tensorScale=3576.125977 ->Layer 21: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv3_block1_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 48(0.000) - 1605808(1.606)      Size: 1605760(1.606), Ch Pitch: 3136      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [17] batchPadH/W=[0,0] numBatchH/W=[1,1] [20] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [21] numDim=4 dims=[1,512,38,38]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[802880,1568,39]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,7.482845)         tensorScale=3576.125977 1x512x38x38 Layer 22: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv3_block2_1_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=512 numOutChannels=128 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=127438.992188 biasScale=9804.010742   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1605808(1.606) - 2007344(2.007)      Size: 401536(0.402), Ch Pitch: 3136      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=1,0   Inputs:      [21] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [22] numDim=4 dims=[1,128,38,38]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[200768,1568,39]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(0.000000,3.769864)         tensorScale=6954.008301 Convolution [22 22] Layer 21: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv3_block1_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 48(0.000) - 1605808(1.606)      Size: 1605760(1.606), Ch Pitch: 3136      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [17] batchPadH/W=[0,0] numBatchH/W=[1,1] [20] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [21] numDim=4 dims=[1,512,38,38]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[802880,1568,39]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,7.482845)         tensorScale=3576.125977 ->Layer 22: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv3_block2_1_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=512 numOutChannels=128 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=127438.992188 biasScale=9804.010742   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1605808(1.606) - 2007344(2.007)      Size: 401536(0.402), Ch Pitch: 3136      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=1,0   Inputs:      [21] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [22] numDim=4 dims=[1,128,38,38]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[200768,1568,39]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(0.000000,3.769864)         tensorScale=6954.008301 1x512x38x38 Layer 25: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv3_block2_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 48(0.000) - 1605808(1.606)      Size: 1605760(1.606), Ch Pitch: 3136      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [21] batchPadH/W=[0,0] numBatchH/W=[1,1] [24] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [25] numDim=4 dims=[1,512,38,38]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[802880,1568,39]         dataQ=0 roundBits=13         min/maxValue=(0,0) min/maxTensorValue=(0.000000,7.909271)         tensorScale=7152.251953 EltWise [25 25] Layer 21: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv3_block1_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 48(0.000) - 1605808(1.606)      Size: 1605760(1.606), Ch Pitch: 3136      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [17] batchPadH/W=[0,0] numBatchH/W=[1,1] [20] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [21] numDim=4 dims=[1,512,38,38]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[802880,1568,39]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,7.482845)         tensorScale=3576.125977 ->Layer 25: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv3_block2_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 48(0.000) - 1605808(1.606)      Size: 1605760(1.606), Ch Pitch: 3136      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [21] batchPadH/W=[0,0] numBatchH/W=[1,1] [24] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [25] numDim=4 dims=[1,512,38,38]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[802880,1568,39]         dataQ=0 roundBits=13         min/maxValue=(0,0) min/maxTensorValue=(0.000000,7.909271)         tensorScale=7152.251953 1x512x38x38 Layer 23: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv3_block2_2_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   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=79716.414062 biasScale=14340.383789   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1605808(1.606) - 2007344(2.007)      Size: 401536(0.402), Ch Pitch: 3136      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=0,0   Inputs:      [22] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [23] numDim=4 dims=[1,128,38,38]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[200768,1568,39]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(0.000000,4.099419)         tensorScale=8458.688477 Convolution [23 23] Layer 22: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv3_block2_1_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=512 numOutChannels=128 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=127438.992188 biasScale=9804.010742   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1605808(1.606) - 2007344(2.007)      Size: 401536(0.402), Ch Pitch: 3136      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=1,0   Inputs:      [21] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [22] numDim=4 dims=[1,128,38,38]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[200768,1568,39]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(0.000000,3.769864)         tensorScale=6954.008301 ->Layer 23: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv3_block2_2_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   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=79716.414062 biasScale=14340.383789   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1605808(1.606) - 2007344(2.007)      Size: 401536(0.402), Ch Pitch: 3136      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=0,0   Inputs:      [22] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [23] numDim=4 dims=[1,128,38,38]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[200768,1568,39]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(0.000000,4.099419)         tensorScale=8458.688477 1x128x38x38 Layer 24: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv3_block2_3_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=128 numOutChannels=512 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=14369.240234 biasScale=9082.919922   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1605808(1.606) - 3211568(3.212)      Size: 1605760(1.606), Ch Pitch: 3136      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [23] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [24] numDim=4 dims=[1,512,38,38]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[802880,1568,39]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(-4.784431,4.584495)         tensorScale=3709.256836 Convolution [24 24] Layer 23: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv3_block2_2_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   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=79716.414062 biasScale=14340.383789   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1605808(1.606) - 2007344(2.007)      Size: 401536(0.402), Ch Pitch: 3136      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=0,0   Inputs:      [22] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [23] numDim=4 dims=[1,128,38,38]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[200768,1568,39]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(0.000000,4.099419)         tensorScale=8458.688477 ->Layer 24: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv3_block2_3_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=128 numOutChannels=512 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=14369.240234 biasScale=9082.919922   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1605808(1.606) - 3211568(3.212)      Size: 1605760(1.606), Ch Pitch: 3136      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [23] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [24] numDim=4 dims=[1,512,38,38]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[802880,1568,39]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(-4.784431,4.584495)         tensorScale=3709.256836 1x128x38x38 Layer 24: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv3_block2_3_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=128 numOutChannels=512 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=14369.240234 biasScale=9082.919922   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1605808(1.606) - 3211568(3.212)      Size: 1605760(1.606), Ch Pitch: 3136      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [23] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [24] numDim=4 dims=[1,512,38,38]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[802880,1568,39]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(-4.784431,4.584495)         tensorScale=3709.256836 ->Layer 25: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv3_block2_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 48(0.000) - 1605808(1.606)      Size: 1605760(1.606), Ch Pitch: 3136      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [21] batchPadH/W=[0,0] numBatchH/W=[1,1] [24] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [25] numDim=4 dims=[1,512,38,38]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[802880,1568,39]         dataQ=0 roundBits=13         min/maxValue=(0,0) min/maxTensorValue=(0.000000,7.909271)         tensorScale=7152.251953 1x512x38x38 Layer 26: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv3_block3_1_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=512 numOutChannels=128 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=36878.128906 biasScale=10027.695312   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1605808(1.606) - 2007344(2.007)      Size: 401536(0.402), Ch Pitch: 3136      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=1,0   Inputs:      [25] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [26] numDim=4 dims=[1,128,38,38]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[200768,1568,39]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,3.221982)         tensorScale=8049.367188 Convolution [26 26] Layer 25: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv3_block2_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 48(0.000) - 1605808(1.606)      Size: 1605760(1.606), Ch Pitch: 3136      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [21] batchPadH/W=[0,0] numBatchH/W=[1,1] [24] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [25] numDim=4 dims=[1,512,38,38]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[802880,1568,39]         dataQ=0 roundBits=13         min/maxValue=(0,0) min/maxTensorValue=(0.000000,7.909271)         tensorScale=7152.251953 ->Layer 26: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv3_block3_1_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=512 numOutChannels=128 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=36878.128906 biasScale=10027.695312   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1605808(1.606) - 2007344(2.007)      Size: 401536(0.402), Ch Pitch: 3136      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=1,0   Inputs:      [25] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [26] numDim=4 dims=[1,128,38,38]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[200768,1568,39]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,3.221982)         tensorScale=8049.367188 1x512x38x38 Layer 29: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv3_block3_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 48(0.000) - 1605808(1.606)      Size: 1605760(1.606), Ch Pitch: 3136      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [25] batchPadH/W=[0,0] numBatchH/W=[1,1] [28] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [29] numDim=4 dims=[1,512,38,38]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[802880,1568,39]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,7.780567)         tensorScale=2914.100342 EltWise [29 29] Layer 25: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv3_block2_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 48(0.000) - 1605808(1.606)      Size: 1605760(1.606), Ch Pitch: 3136      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [21] batchPadH/W=[0,0] numBatchH/W=[1,1] [24] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [25] numDim=4 dims=[1,512,38,38]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[802880,1568,39]         dataQ=0 roundBits=13         min/maxValue=(0,0) min/maxTensorValue=(0.000000,7.909271)         tensorScale=7152.251953 ->Layer 29: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv3_block3_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 48(0.000) - 1605808(1.606)      Size: 1605760(1.606), Ch Pitch: 3136      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [25] batchPadH/W=[0,0] numBatchH/W=[1,1] [28] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [29] numDim=4 dims=[1,512,38,38]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[802880,1568,39]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,7.780567)         tensorScale=2914.100342 1x512x38x38 Layer 27: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv3_block3_2_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   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=22748.111328 biasScale=5367.144043   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1605808(1.606) - 2007344(2.007)      Size: 401536(0.402), Ch Pitch: 3136      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=0,0   Inputs:      [26] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [27] numDim=4 dims=[1,128,38,38]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[200768,1568,39]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,3.143707)         tensorScale=11176.019531 Convolution [27 27] Layer 26: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv3_block3_1_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=512 numOutChannels=128 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=36878.128906 biasScale=10027.695312   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1605808(1.606) - 2007344(2.007)      Size: 401536(0.402), Ch Pitch: 3136      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=1,0   Inputs:      [25] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [26] numDim=4 dims=[1,128,38,38]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[200768,1568,39]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,3.221982)         tensorScale=8049.367188 ->Layer 27: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv3_block3_2_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   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=22748.111328 biasScale=5367.144043   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1605808(1.606) - 2007344(2.007)      Size: 401536(0.402), Ch Pitch: 3136      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=0,0   Inputs:      [26] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [27] numDim=4 dims=[1,128,38,38]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[200768,1568,39]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,3.143707)         tensorScale=11176.019531 1x128x38x38 Layer 28: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv3_block3_3_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=128 numOutChannels=512 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=17088.238281 biasScale=9952.588867   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1605808(1.606) - 3211568(3.212)      Size: 1605760(1.606), Ch Pitch: 3136      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [27] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [28] numDim=4 dims=[1,512,38,38]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[802880,1568,39]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(-8.500247,5.522418)         tensorScale=2914.100342 Convolution [28 28] Layer 27: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv3_block3_2_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   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=22748.111328 biasScale=5367.144043   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1605808(1.606) - 2007344(2.007)      Size: 401536(0.402), Ch Pitch: 3136      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=0,0   Inputs:      [26] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [27] numDim=4 dims=[1,128,38,38]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[200768,1568,39]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,3.143707)         tensorScale=11176.019531 ->Layer 28: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv3_block3_3_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=128 numOutChannels=512 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=17088.238281 biasScale=9952.588867   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1605808(1.606) - 3211568(3.212)      Size: 1605760(1.606), Ch Pitch: 3136      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [27] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [28] numDim=4 dims=[1,512,38,38]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[802880,1568,39]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(-8.500247,5.522418)         tensorScale=2914.100342 1x128x38x38 Layer 28: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv3_block3_3_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=128 numOutChannels=512 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=17088.238281 biasScale=9952.588867   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1605808(1.606) - 3211568(3.212)      Size: 1605760(1.606), Ch Pitch: 3136      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [27] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [28] numDim=4 dims=[1,512,38,38]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[802880,1568,39]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(-8.500247,5.522418)         tensorScale=2914.100342 ->Layer 29: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv3_block3_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 48(0.000) - 1605808(1.606)      Size: 1605760(1.606), Ch Pitch: 3136      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [25] batchPadH/W=[0,0] numBatchH/W=[1,1] [28] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [29] numDim=4 dims=[1,512,38,38]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[802880,1568,39]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,7.780567)         tensorScale=2914.100342 1x512x38x38 Layer 30: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv3_block4_1_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=512 numOutChannels=128 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=62076.414062 biasScale=9397.586914   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1605808(1.606) - 2007344(2.007)      Size: 401536(0.402), Ch Pitch: 3136      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=1,0   Inputs:      [29] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [30] numDim=4 dims=[1,128,38,38]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[200768,1568,39]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,5.457109)         tensorScale=5520.535156 Convolution [30 30] Layer 29: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv3_block3_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 48(0.000) - 1605808(1.606)      Size: 1605760(1.606), Ch Pitch: 3136      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [25] batchPadH/W=[0,0] numBatchH/W=[1,1] [28] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [29] numDim=4 dims=[1,512,38,38]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[802880,1568,39]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,7.780567)         tensorScale=2914.100342 ->Layer 30: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv3_block4_1_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=512 numOutChannels=128 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=62076.414062 biasScale=9397.586914   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1605808(1.606) - 2007344(2.007)      Size: 401536(0.402), Ch Pitch: 3136      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=1,0   Inputs:      [29] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [30] numDim=4 dims=[1,128,38,38]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[200768,1568,39]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,5.457109)         tensorScale=5520.535156 1x512x38x38 Layer 33: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv3_block4_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 48(0.000) - 1605808(1.606)      Size: 1605760(1.606), Ch Pitch: 3136      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [29] batchPadH/W=[0,0] numBatchH/W=[1,1] [32] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [33] numDim=4 dims=[1,512,38,38]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[802880,1568,39]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,9.008918)         tensorScale=2914.100342 EltWise [33 33] Layer 29: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv3_block3_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 48(0.000) - 1605808(1.606)      Size: 1605760(1.606), Ch Pitch: 3136      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [25] batchPadH/W=[0,0] numBatchH/W=[1,1] [28] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [29] numDim=4 dims=[1,512,38,38]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[802880,1568,39]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,7.780567)         tensorScale=2914.100342 ->Layer 33: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv3_block4_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 48(0.000) - 1605808(1.606)      Size: 1605760(1.606), Ch Pitch: 3136      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [29] batchPadH/W=[0,0] numBatchH/W=[1,1] [32] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [33] numDim=4 dims=[1,512,38,38]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[802880,1568,39]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,9.008918)         tensorScale=2914.100342 1x512x38x38 Layer 31: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv3_block4_2_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   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=81079.046875 biasScale=17265.667969   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1605808(1.606) - 2007344(2.007)      Size: 401536(0.402), Ch Pitch: 3136      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=0,0   Inputs:      [30] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [31] numDim=4 dims=[1,128,38,38]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[200768,1568,39]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(0.000000,6.065864)         tensorScale=6829.830078 Convolution [31 31] Layer 30: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv3_block4_1_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=512 numOutChannels=128 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=62076.414062 biasScale=9397.586914   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1605808(1.606) - 2007344(2.007)      Size: 401536(0.402), Ch Pitch: 3136      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=1,0   Inputs:      [29] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [30] numDim=4 dims=[1,128,38,38]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[200768,1568,39]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,5.457109)         tensorScale=5520.535156 ->Layer 31: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv3_block4_2_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   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=81079.046875 biasScale=17265.667969   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1605808(1.606) - 2007344(2.007)      Size: 401536(0.402), Ch Pitch: 3136      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=0,0   Inputs:      [30] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [31] numDim=4 dims=[1,128,38,38]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[200768,1568,39]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(0.000000,6.065864)         tensorScale=6829.830078 1x128x38x38 Layer 32: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv3_block4_3_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=128 numOutChannels=512 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=29409.259766 biasScale=9277.019531   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1605808(1.606) - 3211568(3.212)      Size: 1605760(1.606), Ch Pitch: 3136      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [31] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [32] numDim=4 dims=[1,512,38,38]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[802880,1568,39]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(-4.877084,4.975853)         tensorScale=6129.768066 Convolution [32 32] Layer 31: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv3_block4_2_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   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=81079.046875 biasScale=17265.667969   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1605808(1.606) - 2007344(2.007)      Size: 401536(0.402), Ch Pitch: 3136      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=0,0   Inputs:      [30] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [31] numDim=4 dims=[1,128,38,38]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[200768,1568,39]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(0.000000,6.065864)         tensorScale=6829.830078 ->Layer 32: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv3_block4_3_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=128 numOutChannels=512 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=29409.259766 biasScale=9277.019531   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1605808(1.606) - 3211568(3.212)      Size: 1605760(1.606), Ch Pitch: 3136      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [31] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [32] numDim=4 dims=[1,512,38,38]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[802880,1568,39]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(-4.877084,4.975853)         tensorScale=6129.768066 1x128x38x38 Layer 32: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv3_block4_3_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=128 numOutChannels=512 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=29409.259766 biasScale=9277.019531   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1605808(1.606) - 3211568(3.212)      Size: 1605760(1.606), Ch Pitch: 3136      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [31] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [32] numDim=4 dims=[1,512,38,38]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[802880,1568,39]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(-4.877084,4.975853)         tensorScale=6129.768066 ->Layer 33: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv3_block4_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 48(0.000) - 1605808(1.606)      Size: 1605760(1.606), Ch Pitch: 3136      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [29] batchPadH/W=[0,0] numBatchH/W=[1,1] [32] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [33] numDim=4 dims=[1,512,38,38]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[802880,1568,39]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,9.008918)         tensorScale=2914.100342 1x512x38x38 Layer 34: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block1_0_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=512 numOutChannels=1024 numGroups=1   kernelH/W=[1,1] strideH/W=[2,2] padH/W=[0,0] dilationH/W=[1,1]   weightScale=55056.535156 biasScale=8575.195312   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1605846(1.606) - 2589014(2.589)      Size: 983168(0.983), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [33] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [34] numDim=4 dims=[1,1024,19,19]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[491584,480,20]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(-6.508354,6.592118)         tensorScale=4896.248535 Convolution [34 34] Layer 33: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv3_block4_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 48(0.000) - 1605808(1.606)      Size: 1605760(1.606), Ch Pitch: 3136      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [29] batchPadH/W=[0,0] numBatchH/W=[1,1] [32] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [33] numDim=4 dims=[1,512,38,38]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[802880,1568,39]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,9.008918)         tensorScale=2914.100342 ->Layer 34: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block1_0_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=512 numOutChannels=1024 numGroups=1   kernelH/W=[1,1] strideH/W=[2,2] padH/W=[0,0] dilationH/W=[1,1]   weightScale=55056.535156 biasScale=8575.195312   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1605846(1.606) - 2589014(2.589)      Size: 983168(0.983), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [33] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [34] numDim=4 dims=[1,1024,19,19]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[491584,480,20]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(-6.508354,6.592118)         tensorScale=4896.248535 1x512x38x38 Layer 35: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block1_1_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=512 numOutChannels=256 numGroups=1   kernelH/W=[1,1] strideH/W=[2,2] padH/W=[0,0] dilationH/W=[1,1]   weightScale=65624.679688 biasScale=13082.530273   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 2589014(2.589) - 2834902(2.835)      Size: 245888(0.246), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=1,1   Inputs:      [33] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [35] numDim=4 dims=[1,256,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[122944,480,20]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(0.000000,4.881269)         tensorScale=2918.043457 Convolution [35 35] Layer 33: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv3_block4_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 48(0.000) - 1605808(1.606)      Size: 1605760(1.606), Ch Pitch: 3136      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [29] batchPadH/W=[0,0] numBatchH/W=[1,1] [32] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [33] numDim=4 dims=[1,512,38,38]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[802880,1568,39]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,9.008918)         tensorScale=2914.100342 ->Layer 35: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block1_1_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=512 numOutChannels=256 numGroups=1   kernelH/W=[1,1] strideH/W=[2,2] padH/W=[0,0] dilationH/W=[1,1]   weightScale=65624.679688 biasScale=13082.530273   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 2589014(2.589) - 2834902(2.835)      Size: 245888(0.246), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=1,1   Inputs:      [33] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [35] numDim=4 dims=[1,256,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[122944,480,20]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(0.000000,4.881269)         tensorScale=2918.043457 1x512x38x38 Layer 38: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv4_block1_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 86(0.000) - 983254(0.983)      Size: 983168(0.983), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [34] batchPadH/W=[0,0] numBatchH/W=[1,1] [37] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [38] numDim=4 dims=[1,1024,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[491584,480,20]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,7.321174)         tensorScale=3240.502441 EltWise [38 38] Layer 34: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block1_0_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=512 numOutChannels=1024 numGroups=1   kernelH/W=[1,1] strideH/W=[2,2] padH/W=[0,0] dilationH/W=[1,1]   weightScale=55056.535156 biasScale=8575.195312   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1605846(1.606) - 2589014(2.589)      Size: 983168(0.983), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [33] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [34] numDim=4 dims=[1,1024,19,19]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[491584,480,20]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(-6.508354,6.592118)         tensorScale=4896.248535 ->Layer 38: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv4_block1_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 86(0.000) - 983254(0.983)      Size: 983168(0.983), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [34] batchPadH/W=[0,0] numBatchH/W=[1,1] [37] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [38] numDim=4 dims=[1,1024,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[491584,480,20]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,7.321174)         tensorScale=3240.502441 1x1024x19x19 Layer 36: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block1_2_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   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=122223.750000 biasScale=9316.606445   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 86(0.000) - 245974(0.246)      Size: 245888(0.246), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [35] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [36] numDim=4 dims=[1,256,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[122944,480,20]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,3.931504)         tensorScale=10884.222656 Convolution [36 36] Layer 35: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block1_1_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=512 numOutChannels=256 numGroups=1   kernelH/W=[1,1] strideH/W=[2,2] padH/W=[0,0] dilationH/W=[1,1]   weightScale=65624.679688 biasScale=13082.530273   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 2589014(2.589) - 2834902(2.835)      Size: 245888(0.246), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=1,1   Inputs:      [33] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [35] numDim=4 dims=[1,256,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[122944,480,20]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(0.000000,4.881269)         tensorScale=2918.043457 ->Layer 36: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block1_2_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   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=122223.750000 biasScale=9316.606445   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 86(0.000) - 245974(0.246)      Size: 245888(0.246), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [35] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [36] numDim=4 dims=[1,256,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[122944,480,20]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,3.931504)         tensorScale=10884.222656 1x256x19x19 Layer 37: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block1_3_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=256 numOutChannels=1024 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=19511.689453 biasScale=7825.774902   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 2589014(2.589) - 3695062(3.695)      Size: 1106048(1.106), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [36] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [37] numDim=4 dims=[1,1024,19,19]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[553024,480,20]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(-5.506403,5.574890)         tensorScale=3240.502441 Convolution [37 37] Layer 36: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block1_2_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   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=122223.750000 biasScale=9316.606445   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 86(0.000) - 245974(0.246)      Size: 245888(0.246), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [35] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [36] numDim=4 dims=[1,256,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[122944,480,20]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,3.931504)         tensorScale=10884.222656 ->Layer 37: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block1_3_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=256 numOutChannels=1024 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=19511.689453 biasScale=7825.774902   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 2589014(2.589) - 3695062(3.695)      Size: 1106048(1.106), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [36] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [37] numDim=4 dims=[1,1024,19,19]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[553024,480,20]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(-5.506403,5.574890)         tensorScale=3240.502441 1x256x19x19 Layer 37: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block1_3_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=256 numOutChannels=1024 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=19511.689453 biasScale=7825.774902   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 2589014(2.589) - 3695062(3.695)      Size: 1106048(1.106), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [36] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [37] numDim=4 dims=[1,1024,19,19]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[553024,480,20]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(-5.506403,5.574890)         tensorScale=3240.502441 ->Layer 38: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv4_block1_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 86(0.000) - 983254(0.983)      Size: 983168(0.983), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [34] batchPadH/W=[0,0] numBatchH/W=[1,1] [37] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [38] numDim=4 dims=[1,1024,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[491584,480,20]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,7.321174)         tensorScale=3240.502441 1x1024x19x19 Layer 39: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block2_1_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=1024 numOutChannels=256 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=83951.382812 biasScale=11070.326172   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1892694(1.893) - 2138582(2.139)      Size: 245888(0.246), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=1,0   Inputs:      [38] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [39] numDim=4 dims=[1,256,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[122944,480,20]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,3.544150)         tensorScale=8302.144531 Convolution [39 39] Layer 38: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv4_block1_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 86(0.000) - 983254(0.983)      Size: 983168(0.983), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [34] batchPadH/W=[0,0] numBatchH/W=[1,1] [37] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [38] numDim=4 dims=[1,1024,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[491584,480,20]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,7.321174)         tensorScale=3240.502441 ->Layer 39: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block2_1_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=1024 numOutChannels=256 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=83951.382812 biasScale=11070.326172   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1892694(1.893) - 2138582(2.139)      Size: 245888(0.246), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=1,0   Inputs:      [38] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [39] numDim=4 dims=[1,256,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[122944,480,20]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,3.544150)         tensorScale=8302.144531 1x1024x19x19 Layer 42: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv4_block2_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 86(0.000) - 983254(0.983)      Size: 983168(0.983), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [38] batchPadH/W=[0,0] numBatchH/W=[1,1] [41] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [42] numDim=4 dims=[1,1024,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[491584,480,20]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,7.302523)         tensorScale=3240.502441 EltWise [42 42] Layer 38: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv4_block1_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 86(0.000) - 983254(0.983)      Size: 983168(0.983), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [34] batchPadH/W=[0,0] numBatchH/W=[1,1] [37] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [38] numDim=4 dims=[1,1024,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[491584,480,20]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,7.321174)         tensorScale=3240.502441 ->Layer 42: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv4_block2_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 86(0.000) - 983254(0.983)      Size: 983168(0.983), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [38] batchPadH/W=[0,0] numBatchH/W=[1,1] [41] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [42] numDim=4 dims=[1,1024,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[491584,480,20]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,7.302523)         tensorScale=3240.502441 1x1024x19x19 Layer 40: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block2_2_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   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=34012.183594 biasScale=10794.744141   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 983254(0.983) - 1229142(1.229)      Size: 245888(0.246), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [39] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [40] numDim=4 dims=[1,256,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[122944,480,20]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,3.578358)         tensorScale=17234.746094 Convolution [40 40] Layer 39: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block2_1_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=1024 numOutChannels=256 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=83951.382812 biasScale=11070.326172   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1892694(1.893) - 2138582(2.139)      Size: 245888(0.246), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=1,0   Inputs:      [38] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [39] numDim=4 dims=[1,256,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[122944,480,20]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,3.544150)         tensorScale=8302.144531 ->Layer 40: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block2_2_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   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=34012.183594 biasScale=10794.744141   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 983254(0.983) - 1229142(1.229)      Size: 245888(0.246), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [39] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [40] numDim=4 dims=[1,256,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[122944,480,20]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,3.578358)         tensorScale=17234.746094 1x256x19x19 Layer 41: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block2_3_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=256 numOutChannels=1024 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=17400.666016 biasScale=13328.322266   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1892694(1.893) - 2998742(2.999)      Size: 1106048(1.106), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [40] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [41] numDim=4 dims=[1,1024,19,19]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[553024,480,20]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(-3.977604,3.325603)         tensorScale=4576.050781 Convolution [41 41] Layer 40: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block2_2_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   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=34012.183594 biasScale=10794.744141   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 983254(0.983) - 1229142(1.229)      Size: 245888(0.246), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [39] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [40] numDim=4 dims=[1,256,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[122944,480,20]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,3.578358)         tensorScale=17234.746094 ->Layer 41: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block2_3_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=256 numOutChannels=1024 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=17400.666016 biasScale=13328.322266   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1892694(1.893) - 2998742(2.999)      Size: 1106048(1.106), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [40] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [41] numDim=4 dims=[1,1024,19,19]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[553024,480,20]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(-3.977604,3.325603)         tensorScale=4576.050781 1x256x19x19 Layer 41: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block2_3_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=256 numOutChannels=1024 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=17400.666016 biasScale=13328.322266   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1892694(1.893) - 2998742(2.999)      Size: 1106048(1.106), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [40] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [41] numDim=4 dims=[1,1024,19,19]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[553024,480,20]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(-3.977604,3.325603)         tensorScale=4576.050781 ->Layer 42: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv4_block2_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 86(0.000) - 983254(0.983)      Size: 983168(0.983), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [38] batchPadH/W=[0,0] numBatchH/W=[1,1] [41] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [42] numDim=4 dims=[1,1024,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[491584,480,20]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,7.302523)         tensorScale=3240.502441 1x1024x19x19 Layer 43: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block3_1_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=1024 numOutChannels=256 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=95332.617188 biasScale=10525.084961   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1892694(1.893) - 2138582(2.139)      Size: 245888(0.246), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=1,0   Inputs:      [42] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [43] numDim=4 dims=[1,256,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[122944,480,20]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,3.015306)         tensorScale=9427.660156 Convolution [43 43] Layer 42: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv4_block2_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 86(0.000) - 983254(0.983)      Size: 983168(0.983), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [38] batchPadH/W=[0,0] numBatchH/W=[1,1] [41] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [42] numDim=4 dims=[1,1024,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[491584,480,20]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,7.302523)         tensorScale=3240.502441 ->Layer 43: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block3_1_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=1024 numOutChannels=256 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=95332.617188 biasScale=10525.084961   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1892694(1.893) - 2138582(2.139)      Size: 245888(0.246), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=1,0   Inputs:      [42] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [43] numDim=4 dims=[1,256,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[122944,480,20]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,3.015306)         tensorScale=9427.660156 1x1024x19x19 Layer 46: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv4_block3_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 86(0.000) - 983254(0.983)      Size: 983168(0.983), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [42] batchPadH/W=[0,0] numBatchH/W=[1,1] [45] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [46] numDim=4 dims=[1,1024,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[491584,480,20]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,7.047745)         tensorScale=3240.502441 EltWise [46 46] Layer 42: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv4_block2_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 86(0.000) - 983254(0.983)      Size: 983168(0.983), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [38] batchPadH/W=[0,0] numBatchH/W=[1,1] [41] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [42] numDim=4 dims=[1,1024,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[491584,480,20]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,7.302523)         tensorScale=3240.502441 ->Layer 46: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv4_block3_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 86(0.000) - 983254(0.983)      Size: 983168(0.983), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [42] batchPadH/W=[0,0] numBatchH/W=[1,1] [45] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [46] numDim=4 dims=[1,1024,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[491584,480,20]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,7.047745)         tensorScale=3240.502441 1x1024x19x19 Layer 44: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block3_2_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   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=35877.281250 biasScale=12835.374023   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 983254(0.983) - 1229142(1.229)      Size: 245888(0.246), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [43] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [44] numDim=4 dims=[1,256,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[122944,480,20]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,2.933633)         tensorScale=20644.458984 Convolution [44 44] Layer 43: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block3_1_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=1024 numOutChannels=256 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=95332.617188 biasScale=10525.084961   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1892694(1.893) - 2138582(2.139)      Size: 245888(0.246), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=1,0   Inputs:      [42] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [43] numDim=4 dims=[1,256,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[122944,480,20]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,3.015306)         tensorScale=9427.660156 ->Layer 44: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block3_2_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   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=35877.281250 biasScale=12835.374023   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 983254(0.983) - 1229142(1.229)      Size: 245888(0.246), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [43] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [44] numDim=4 dims=[1,256,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[122944,480,20]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,2.933633)         tensorScale=20644.458984 1x256x19x19 Layer 45: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block3_3_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=256 numOutChannels=1024 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=19860.423828 biasScale=14349.003906   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1892694(1.893) - 2998742(2.999)      Size: 1106048(1.106), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [44] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [45] numDim=4 dims=[1,1024,19,19]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[553024,480,20]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(-3.374371,2.783912)         tensorScale=6256.221191 Convolution [45 45] Layer 44: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block3_2_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   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=35877.281250 biasScale=12835.374023   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 983254(0.983) - 1229142(1.229)      Size: 245888(0.246), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [43] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [44] numDim=4 dims=[1,256,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[122944,480,20]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,2.933633)         tensorScale=20644.458984 ->Layer 45: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block3_3_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=256 numOutChannels=1024 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=19860.423828 biasScale=14349.003906   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1892694(1.893) - 2998742(2.999)      Size: 1106048(1.106), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [44] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [45] numDim=4 dims=[1,1024,19,19]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[553024,480,20]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(-3.374371,2.783912)         tensorScale=6256.221191 1x256x19x19 Layer 45: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block3_3_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=256 numOutChannels=1024 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=19860.423828 biasScale=14349.003906   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1892694(1.893) - 2998742(2.999)      Size: 1106048(1.106), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [44] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [45] numDim=4 dims=[1,1024,19,19]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[553024,480,20]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(-3.374371,2.783912)         tensorScale=6256.221191 ->Layer 46: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv4_block3_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 86(0.000) - 983254(0.983)      Size: 983168(0.983), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [42] batchPadH/W=[0,0] numBatchH/W=[1,1] [45] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [46] numDim=4 dims=[1,1024,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[491584,480,20]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,7.047745)         tensorScale=3240.502441 1x1024x19x19 Layer 47: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block4_1_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=1024 numOutChannels=256 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=80557.453125 biasScale=13384.771484   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1892694(1.893) - 2138582(2.139)      Size: 245888(0.246), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=1,0   Inputs:      [46] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [47] numDim=4 dims=[1,256,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[122944,480,20]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,2.872202)         tensorScale=7966.510742 Convolution [47 47] Layer 46: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv4_block3_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 86(0.000) - 983254(0.983)      Size: 983168(0.983), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [42] batchPadH/W=[0,0] numBatchH/W=[1,1] [45] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [46] numDim=4 dims=[1,1024,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[491584,480,20]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,7.047745)         tensorScale=3240.502441 ->Layer 47: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block4_1_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=1024 numOutChannels=256 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=80557.453125 biasScale=13384.771484   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1892694(1.893) - 2138582(2.139)      Size: 245888(0.246), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=1,0   Inputs:      [46] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [47] numDim=4 dims=[1,256,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[122944,480,20]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,2.872202)         tensorScale=7966.510742 1x1024x19x19 Layer 50: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv4_block4_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 86(0.000) - 983254(0.983)      Size: 983168(0.983), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [46] batchPadH/W=[0,0] numBatchH/W=[1,1] [49] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [50] numDim=4 dims=[1,1024,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[491584,480,20]         dataQ=0 roundBits=13         min/maxValue=(0,0) min/maxTensorValue=(0.000000,7.094150)         tensorScale=6481.004883 EltWise [50 50] Layer 46: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv4_block3_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 86(0.000) - 983254(0.983)      Size: 983168(0.983), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [42] batchPadH/W=[0,0] numBatchH/W=[1,1] [45] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [46] numDim=4 dims=[1,1024,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[491584,480,20]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,7.047745)         tensorScale=3240.502441 ->Layer 50: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv4_block4_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 86(0.000) - 983254(0.983)      Size: 983168(0.983), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [46] batchPadH/W=[0,0] numBatchH/W=[1,1] [49] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [50] numDim=4 dims=[1,1024,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[491584,480,20]         dataQ=0 roundBits=13         min/maxValue=(0,0) min/maxTensorValue=(0.000000,7.094150)         tensorScale=6481.004883 1x1024x19x19 Layer 48: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block4_2_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   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=52018.363281 biasScale=9732.200195   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 983254(0.983) - 1229142(1.229)      Size: 245888(0.246), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [47] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [48] numDim=4 dims=[1,256,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[122944,480,20]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,2.619542)         tensorScale=12646.632812 Convolution [48 48] Layer 47: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block4_1_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=1024 numOutChannels=256 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=80557.453125 biasScale=13384.771484   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1892694(1.893) - 2138582(2.139)      Size: 245888(0.246), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=1,0   Inputs:      [46] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [47] numDim=4 dims=[1,256,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[122944,480,20]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,2.872202)         tensorScale=7966.510742 ->Layer 48: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block4_2_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   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=52018.363281 biasScale=9732.200195   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 983254(0.983) - 1229142(1.229)      Size: 245888(0.246), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [47] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [48] numDim=4 dims=[1,256,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[122944,480,20]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,2.619542)         tensorScale=12646.632812 1x256x19x19 Layer 49: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block4_3_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=256 numOutChannels=1024 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=19905.845703 biasScale=14082.659180   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1892694(1.893) - 2998742(2.999)      Size: 1106048(1.106), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [48] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [49] numDim=4 dims=[1,1024,19,19]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[553024,480,20]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(-3.615909,3.195371)         tensorScale=7682.553711 Convolution [49 49] Layer 48: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block4_2_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   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=52018.363281 biasScale=9732.200195   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 983254(0.983) - 1229142(1.229)      Size: 245888(0.246), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [47] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [48] numDim=4 dims=[1,256,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[122944,480,20]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,2.619542)         tensorScale=12646.632812 ->Layer 49: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block4_3_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=256 numOutChannels=1024 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=19905.845703 biasScale=14082.659180   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1892694(1.893) - 2998742(2.999)      Size: 1106048(1.106), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [48] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [49] numDim=4 dims=[1,1024,19,19]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[553024,480,20]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(-3.615909,3.195371)         tensorScale=7682.553711 1x256x19x19 Layer 49: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block4_3_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=256 numOutChannels=1024 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=19905.845703 biasScale=14082.659180   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1892694(1.893) - 2998742(2.999)      Size: 1106048(1.106), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [48] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [49] numDim=4 dims=[1,1024,19,19]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[553024,480,20]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(-3.615909,3.195371)         tensorScale=7682.553711 ->Layer 50: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv4_block4_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 86(0.000) - 983254(0.983)      Size: 983168(0.983), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [46] batchPadH/W=[0,0] numBatchH/W=[1,1] [49] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [50] numDim=4 dims=[1,1024,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[491584,480,20]         dataQ=0 roundBits=13         min/maxValue=(0,0) min/maxTensorValue=(0.000000,7.094150)         tensorScale=6481.004883 1x1024x19x19 Layer 51: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block5_1_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=1024 numOutChannels=256 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=75784.554688 biasScale=17539.525391   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1892694(1.893) - 2138582(2.139)      Size: 245888(0.246), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=1,0   Inputs:      [50] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [51] numDim=4 dims=[1,256,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[122944,480,20]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(0.000000,2.915910)         tensorScale=7494.507812 Convolution [51 51] Layer 50: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv4_block4_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 86(0.000) - 983254(0.983)      Size: 983168(0.983), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [46] batchPadH/W=[0,0] numBatchH/W=[1,1] [49] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [50] numDim=4 dims=[1,1024,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[491584,480,20]         dataQ=0 roundBits=13         min/maxValue=(0,0) min/maxTensorValue=(0.000000,7.094150)         tensorScale=6481.004883 ->Layer 51: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block5_1_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=1024 numOutChannels=256 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=75784.554688 biasScale=17539.525391   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1892694(1.893) - 2138582(2.139)      Size: 245888(0.246), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=1,0   Inputs:      [50] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [51] numDim=4 dims=[1,256,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[122944,480,20]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(0.000000,2.915910)         tensorScale=7494.507812 1x1024x19x19 Layer 54: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv4_block5_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 86(0.000) - 983254(0.983)      Size: 983168(0.983), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [50] batchPadH/W=[0,0] numBatchH/W=[1,1] [53] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [54] numDim=4 dims=[1,1024,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[491584,480,20]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,7.365431)         tensorScale=6481.004883 EltWise [54 54] Layer 50: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv4_block4_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 86(0.000) - 983254(0.983)      Size: 983168(0.983), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [46] batchPadH/W=[0,0] numBatchH/W=[1,1] [49] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [50] numDim=4 dims=[1,1024,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[491584,480,20]         dataQ=0 roundBits=13         min/maxValue=(0,0) min/maxTensorValue=(0.000000,7.094150)         tensorScale=6481.004883 ->Layer 54: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv4_block5_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 86(0.000) - 983254(0.983)      Size: 983168(0.983), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [50] batchPadH/W=[0,0] numBatchH/W=[1,1] [53] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [54] numDim=4 dims=[1,1024,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[491584,480,20]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,7.365431)         tensorScale=6481.004883 1x1024x19x19 Layer 52: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block5_2_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   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=47825.230469 biasScale=11973.135742   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 983254(0.983) - 1229142(1.229)      Size: 245888(0.246), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [51] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [52] numDim=4 dims=[1,256,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[122944,480,20]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(0.000000,3.011665)         tensorScale=5469.155273 Convolution [52 52] Layer 51: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block5_1_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=1024 numOutChannels=256 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=75784.554688 biasScale=17539.525391   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1892694(1.893) - 2138582(2.139)      Size: 245888(0.246), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=1,0   Inputs:      [50] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [51] numDim=4 dims=[1,256,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[122944,480,20]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(0.000000,2.915910)         tensorScale=7494.507812 ->Layer 52: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block5_2_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   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=47825.230469 biasScale=11973.135742   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 983254(0.983) - 1229142(1.229)      Size: 245888(0.246), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [51] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [52] numDim=4 dims=[1,256,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[122944,480,20]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(0.000000,3.011665)         tensorScale=5469.155273 1x256x19x19 Layer 53: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block5_3_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=256 numOutChannels=1024 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=25498.296875 biasScale=5759.046875   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1892694(1.893) - 2998742(2.999)      Size: 1106048(1.106), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [52] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [53] numDim=4 dims=[1,1024,19,19]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[553024,480,20]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(-3.338330,3.135133)         tensorScale=8511.605469 Convolution [53 53] Layer 52: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block5_2_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   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=47825.230469 biasScale=11973.135742   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 983254(0.983) - 1229142(1.229)      Size: 245888(0.246), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [51] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [52] numDim=4 dims=[1,256,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[122944,480,20]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(0.000000,3.011665)         tensorScale=5469.155273 ->Layer 53: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block5_3_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=256 numOutChannels=1024 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=25498.296875 biasScale=5759.046875   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1892694(1.893) - 2998742(2.999)      Size: 1106048(1.106), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [52] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [53] numDim=4 dims=[1,1024,19,19]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[553024,480,20]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(-3.338330,3.135133)         tensorScale=8511.605469 1x256x19x19 Layer 53: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block5_3_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=256 numOutChannels=1024 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=25498.296875 biasScale=5759.046875   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1892694(1.893) - 2998742(2.999)      Size: 1106048(1.106), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [52] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [53] numDim=4 dims=[1,1024,19,19]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[553024,480,20]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(-3.338330,3.135133)         tensorScale=8511.605469 ->Layer 54: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv4_block5_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 86(0.000) - 983254(0.983)      Size: 983168(0.983), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [50] batchPadH/W=[0,0] numBatchH/W=[1,1] [53] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [54] numDim=4 dims=[1,1024,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[491584,480,20]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,7.365431)         tensorScale=6481.004883 1x1024x19x19 Layer 55: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block6_1_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=1024 numOutChannels=256 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=77417.296875 biasScale=20190.019531   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1892694(1.893) - 2138582(2.139)      Size: 245888(0.246), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=1,0   Inputs:      [54] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [55] numDim=4 dims=[1,256,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[122944,480,20]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(0.000000,3.048604)         tensorScale=7655.973633 Convolution [55 55] Layer 54: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv4_block5_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 86(0.000) - 983254(0.983)      Size: 983168(0.983), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [50] batchPadH/W=[0,0] numBatchH/W=[1,1] [53] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [54] numDim=4 dims=[1,1024,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[491584,480,20]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,7.365431)         tensorScale=6481.004883 ->Layer 55: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block6_1_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=1024 numOutChannels=256 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=77417.296875 biasScale=20190.019531   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1892694(1.893) - 2138582(2.139)      Size: 245888(0.246), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=1,0   Inputs:      [54] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [55] numDim=4 dims=[1,256,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[122944,480,20]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(0.000000,3.048604)         tensorScale=7655.973633 1x1024x19x19 Layer 58: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv4_block6_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 86(0.000) - 983254(0.983)      Size: 983168(0.983), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [54] batchPadH/W=[0,0] numBatchH/W=[1,1] [57] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [58] numDim=4 dims=[1,1024,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[491584,480,20]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,7.865417)         tensorScale=2663.164551 EltWise [58 58] Layer 54: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv4_block5_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 86(0.000) - 983254(0.983)      Size: 983168(0.983), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [50] batchPadH/W=[0,0] numBatchH/W=[1,1] [53] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [54] numDim=4 dims=[1,1024,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[491584,480,20]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,7.365431)         tensorScale=6481.004883 ->Layer 58: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv4_block6_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 86(0.000) - 983254(0.983)      Size: 983168(0.983), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [54] batchPadH/W=[0,0] numBatchH/W=[1,1] [57] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [58] numDim=4 dims=[1,1024,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[491584,480,20]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,7.865417)         tensorScale=2663.164551 1x1024x19x19 Layer 56: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block6_2_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   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=62064.656250 biasScale=13375.208984   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 983254(0.983) - 1229142(1.229)      Size: 245888(0.246), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [55] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [56] numDim=4 dims=[1,256,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[122944,480,20]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,3.215816)         tensorScale=14500.896484 Convolution [56 56] Layer 55: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block6_1_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=1024 numOutChannels=256 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=77417.296875 biasScale=20190.019531   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1892694(1.893) - 2138582(2.139)      Size: 245888(0.246), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=1,0   Inputs:      [54] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [55] numDim=4 dims=[1,256,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[122944,480,20]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(0.000000,3.048604)         tensorScale=7655.973633 ->Layer 56: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block6_2_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   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=62064.656250 biasScale=13375.208984   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 983254(0.983) - 1229142(1.229)      Size: 245888(0.246), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [55] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [56] numDim=4 dims=[1,256,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[122944,480,20]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,3.215816)         tensorScale=14500.896484 1x256x19x19 Layer 57: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block6_3_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=256 numOutChannels=1024 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=24072.048828 biasScale=11011.878906   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1892694(1.893) - 2998742(2.999)      Size: 1106048(1.106), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [56] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [57] numDim=4 dims=[1,1024,19,19]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[553024,480,20]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(-3.481663,3.329466)         tensorScale=5326.329102 Convolution [57 57] Layer 56: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block6_2_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   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=62064.656250 biasScale=13375.208984   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 983254(0.983) - 1229142(1.229)      Size: 245888(0.246), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [55] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [56] numDim=4 dims=[1,256,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[122944,480,20]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,3.215816)         tensorScale=14500.896484 ->Layer 57: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block6_3_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=256 numOutChannels=1024 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=24072.048828 biasScale=11011.878906   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1892694(1.893) - 2998742(2.999)      Size: 1106048(1.106), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [56] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [57] numDim=4 dims=[1,1024,19,19]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[553024,480,20]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(-3.481663,3.329466)         tensorScale=5326.329102 1x256x19x19 Layer 57: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv4_block6_3_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=256 numOutChannels=1024 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=24072.048828 biasScale=11011.878906   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1892694(1.893) - 2998742(2.999)      Size: 1106048(1.106), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [56] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [57] numDim=4 dims=[1,1024,19,19]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[553024,480,20]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(-3.481663,3.329466)         tensorScale=5326.329102 ->Layer 58: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv4_block6_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 86(0.000) - 983254(0.983)      Size: 983168(0.983), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [54] batchPadH/W=[0,0] numBatchH/W=[1,1] [57] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [58] numDim=4 dims=[1,1024,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[491584,480,20]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,7.865417)         tensorScale=2663.164551 1x1024x19x19 Layer 59: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv5_block1_0_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=1024 numOutChannels=2048 numGroups=1   kernelH/W=[1,1] strideH/W=[2,2] padH/W=[0,0] dilationH/W=[1,1]   weightScale=11610.614258 biasScale=6303.641113   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 983272(0.983) - 1638760(1.639)      Size: 655488(0.655), Ch Pitch: 320      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [58] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [59] numDim=4 dims=[1,2048,10,10]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[327744,160,11]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(-9.205324,10.771547)         tensorScale=1887.266602 Convolution [59 59] Layer 58: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv4_block6_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 86(0.000) - 983254(0.983)      Size: 983168(0.983), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [54] batchPadH/W=[0,0] numBatchH/W=[1,1] [57] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [58] numDim=4 dims=[1,1024,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[491584,480,20]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,7.865417)         tensorScale=2663.164551 ->Layer 59: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv5_block1_0_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=1024 numOutChannels=2048 numGroups=1   kernelH/W=[1,1] strideH/W=[2,2] padH/W=[0,0] dilationH/W=[1,1]   weightScale=11610.614258 biasScale=6303.641113   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 983272(0.983) - 1638760(1.639)      Size: 655488(0.655), Ch Pitch: 320      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [58] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [59] numDim=4 dims=[1,2048,10,10]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[327744,160,11]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(-9.205324,10.771547)         tensorScale=1887.266602 1x1024x19x19 Layer 60: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv5_block1_1_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=1024 numOutChannels=512 numGroups=1   kernelH/W=[1,1] strideH/W=[2,2] padH/W=[0,0] dilationH/W=[1,1]   weightScale=96980.328125 biasScale=13807.650391   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1638760(1.639) - 1802728(1.803)      Size: 163968(0.164), Ch Pitch: 320      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=1,1   Inputs:      [58] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [60] numDim=4 dims=[1,512,10,10]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[81984,160,11]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,3.059483)         tensorScale=7881.914551 Convolution [60 60] Layer 58: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv4_block6_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 86(0.000) - 983254(0.983)      Size: 983168(0.983), Ch Pitch: 960      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [54] batchPadH/W=[0,0] numBatchH/W=[1,1] [57] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [58] numDim=4 dims=[1,1024,19,19]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[491584,480,20]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,7.865417)         tensorScale=2663.164551 ->Layer 60: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv5_block1_1_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=1024 numOutChannels=512 numGroups=1   kernelH/W=[1,1] strideH/W=[2,2] padH/W=[0,0] dilationH/W=[1,1]   weightScale=96980.328125 biasScale=13807.650391   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1638760(1.639) - 1802728(1.803)      Size: 163968(0.164), Ch Pitch: 320      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=1,1   Inputs:      [58] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [60] numDim=4 dims=[1,512,10,10]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[81984,160,11]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,3.059483)         tensorScale=7881.914551 1x1024x19x19 Layer 63: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv5_block1_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 104(0.000) - 655592(0.656)      Size: 655488(0.655), Ch Pitch: 320      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [59] batchPadH/W=[0,0] numBatchH/W=[1,1] [62] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [63] numDim=4 dims=[1,2048,10,10]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[327744,160,11]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,17.967552)         tensorScale=1512.451294 EltWise [63 63] Layer 59: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv5_block1_0_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=1024 numOutChannels=2048 numGroups=1   kernelH/W=[1,1] strideH/W=[2,2] padH/W=[0,0] dilationH/W=[1,1]   weightScale=11610.614258 biasScale=6303.641113   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 983272(0.983) - 1638760(1.639)      Size: 655488(0.655), Ch Pitch: 320      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [58] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [59] numDim=4 dims=[1,2048,10,10]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[327744,160,11]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(-9.205324,10.771547)         tensorScale=1887.266602 ->Layer 63: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv5_block1_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 104(0.000) - 655592(0.656)      Size: 655488(0.655), Ch Pitch: 320      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [59] batchPadH/W=[0,0] numBatchH/W=[1,1] [62] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [63] numDim=4 dims=[1,2048,10,10]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[327744,160,11]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,17.967552)         tensorScale=1512.451294 1x2048x10x10 Layer 61: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv5_block1_2_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   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=58867.687500 biasScale=14909.256836   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 104(0.000) - 170472(0.170)      Size: 170368(0.170), Ch Pitch: 320      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [60] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [61] numDim=4 dims=[1,512,10,10]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[85184,160,11]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,3.023786)         tensorScale=14159.853516 Convolution [61 61] Layer 60: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv5_block1_1_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=1024 numOutChannels=512 numGroups=1   kernelH/W=[1,1] strideH/W=[2,2] padH/W=[0,0] dilationH/W=[1,1]   weightScale=96980.328125 biasScale=13807.650391   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 1638760(1.639) - 1802728(1.803)      Size: 163968(0.164), Ch Pitch: 320      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=1,1   Inputs:      [58] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [60] numDim=4 dims=[1,512,10,10]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[81984,160,11]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,3.059483)         tensorScale=7881.914551 ->Layer 61: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv5_block1_2_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   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=58867.687500 biasScale=14909.256836   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 104(0.000) - 170472(0.170)      Size: 170368(0.170), Ch Pitch: 320      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [60] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [61] numDim=4 dims=[1,512,10,10]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[85184,160,11]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,3.023786)         tensorScale=14159.853516 1x512x10x10 Layer 62: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv5_block1_3_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=512 numOutChannels=2048 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=7000.072754 biasScale=4673.132812   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 170472(0.170) - 825960(0.826)      Size: 655488(0.655), Ch Pitch: 320      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [61] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [62] numDim=4 dims=[1,2048,10,10]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[327744,160,11]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(-8.467742,11.454047)         tensorScale=1512.451294 Convolution [62 62] Layer 61: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv5_block1_2_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   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=58867.687500 biasScale=14909.256836   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 104(0.000) - 170472(0.170)      Size: 170368(0.170), Ch Pitch: 320      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [60] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [61] numDim=4 dims=[1,512,10,10]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[85184,160,11]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,3.023786)         tensorScale=14159.853516 ->Layer 62: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv5_block1_3_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=512 numOutChannels=2048 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=7000.072754 biasScale=4673.132812   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 170472(0.170) - 825960(0.826)      Size: 655488(0.655), Ch Pitch: 320      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [61] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [62] numDim=4 dims=[1,2048,10,10]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[327744,160,11]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(-8.467742,11.454047)         tensorScale=1512.451294 1x512x10x10 Layer 62: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv5_block1_3_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=512 numOutChannels=2048 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=7000.072754 biasScale=4673.132812   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 170472(0.170) - 825960(0.826)      Size: 655488(0.655), Ch Pitch: 320      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [61] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [62] numDim=4 dims=[1,2048,10,10]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[327744,160,11]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(-8.467742,11.454047)         tensorScale=1512.451294 ->Layer 63: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv5_block1_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 104(0.000) - 655592(0.656)      Size: 655488(0.655), Ch Pitch: 320      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [59] batchPadH/W=[0,0] numBatchH/W=[1,1] [62] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [63] numDim=4 dims=[1,2048,10,10]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[327744,160,11]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,17.967552)         tensorScale=1512.451294 1x2048x10x10 Layer 64: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv5_block2_1_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=2048 numOutChannels=512 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=257954.656250 biasScale=10194.515625   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 655592(0.656) - 832360(0.832)      Size: 176768(0.177), Ch Pitch: 320      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=1,0   Inputs:      [63] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [64] numDim=4 dims=[1,512,10,10]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[88384,160,11]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,2.472557)         tensorScale=11906.245117 Convolution [64 64] Layer 63: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv5_block1_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 104(0.000) - 655592(0.656)      Size: 655488(0.655), Ch Pitch: 320      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [59] batchPadH/W=[0,0] numBatchH/W=[1,1] [62] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [63] numDim=4 dims=[1,2048,10,10]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[327744,160,11]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,17.967552)         tensorScale=1512.451294 ->Layer 64: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv5_block2_1_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=2048 numOutChannels=512 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=257954.656250 biasScale=10194.515625   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 655592(0.656) - 832360(0.832)      Size: 176768(0.177), Ch Pitch: 320      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=1,0   Inputs:      [63] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [64] numDim=4 dims=[1,512,10,10]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[88384,160,11]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,2.472557)         tensorScale=11906.245117 1x2048x10x10 Layer 67: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv5_block2_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 104(0.000) - 655592(0.656)      Size: 655488(0.655), Ch Pitch: 320      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [63] batchPadH/W=[0,0] numBatchH/W=[1,1] [66] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [67] numDim=4 dims=[1,2048,10,10]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[327744,160,11]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,23.182961)         tensorScale=756.225647 EltWise [67 67] Layer 63: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv5_block1_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 104(0.000) - 655592(0.656)      Size: 655488(0.655), Ch Pitch: 320      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [59] batchPadH/W=[0,0] numBatchH/W=[1,1] [62] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [63] numDim=4 dims=[1,2048,10,10]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[327744,160,11]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(0.000000,17.967552)         tensorScale=1512.451294 ->Layer 67: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv5_block2_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 104(0.000) - 655592(0.656)      Size: 655488(0.655), Ch Pitch: 320      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [63] batchPadH/W=[0,0] numBatchH/W=[1,1] [66] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [67] numDim=4 dims=[1,2048,10,10]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[327744,160,11]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,23.182961)         tensorScale=756.225647 1x2048x10x10 Layer 65: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv5_block2_2_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   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=39638.132812 biasScale=12688.146484   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 5769320(5.769) - 5939688(5.940)      Size: 170368(0.170), Ch Pitch: 320      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [64] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [65] numDim=4 dims=[1,512,10,10]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[85184,160,11]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(0.000000,2.722806)         tensorScale=7201.252930 Convolution [65 65] Layer 64: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv5_block2_1_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=2048 numOutChannels=512 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=257954.656250 biasScale=10194.515625   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 655592(0.656) - 832360(0.832)      Size: 176768(0.177), Ch Pitch: 320      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=1,0   Inputs:      [63] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [64] numDim=4 dims=[1,512,10,10]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[88384,160,11]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,2.472557)         tensorScale=11906.245117 ->Layer 65: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv5_block2_2_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   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=39638.132812 biasScale=12688.146484   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 5769320(5.769) - 5939688(5.940)      Size: 170368(0.170), Ch Pitch: 320      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [64] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [65] numDim=4 dims=[1,512,10,10]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[85184,160,11]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(0.000000,2.722806)         tensorScale=7201.252930 1x512x10x10 Layer 66: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv5_block2_3_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=512 numOutChannels=2048 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=9117.464844 biasScale=3878.116699   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 3060584(3.061) - 3716072(3.716)      Size: 655488(0.655), Ch Pitch: 320      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [65] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [66] numDim=4 dims=[1,2048,10,10]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[327744,160,11]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(-7.517874,7.660162)         tensorScale=4007.395752 Convolution [66 66] Layer 65: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv5_block2_2_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   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=39638.132812 biasScale=12688.146484   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 5769320(5.769) - 5939688(5.940)      Size: 170368(0.170), Ch Pitch: 320      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [64] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [65] numDim=4 dims=[1,512,10,10]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[85184,160,11]         dataQ=0 roundBits=16         min/maxValue=(0,0) min/maxTensorValue=(0.000000,2.722806)         tensorScale=7201.252930 ->Layer 66: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv5_block2_3_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=512 numOutChannels=2048 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=9117.464844 biasScale=3878.116699   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 3060584(3.061) - 3716072(3.716)      Size: 655488(0.655), Ch Pitch: 320      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [65] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [66] numDim=4 dims=[1,2048,10,10]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[327744,160,11]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(-7.517874,7.660162)         tensorScale=4007.395752 1x512x10x10 Layer 66: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv5_block2_3_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=512 numOutChannels=2048 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=9117.464844 biasScale=3878.116699   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 3060584(3.061) - 3716072(3.716)      Size: 655488(0.655), Ch Pitch: 320      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [65] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [66] numDim=4 dims=[1,2048,10,10]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[327744,160,11]         dataQ=0 roundBits=14         min/maxValue=(0,0) min/maxTensorValue=(-7.517874,7.660162)         tensorScale=4007.395752 ->Layer 67: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv5_block2_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 104(0.000) - 655592(0.656)      Size: 655488(0.655), Ch Pitch: 320      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [63] batchPadH/W=[0,0] numBatchH/W=[1,1] [66] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [67] numDim=4 dims=[1,2048,10,10]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[327744,160,11]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,23.182961)         tensorScale=756.225647 1x2048x10x10 Layer 68: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv5_block3_1_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=2048 numOutChannels=512 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=261395.359375 biasScale=12015.109375   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 655592(0.656) - 832360(0.832)      Size: 176768(0.177), Ch Pitch: 320      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=1,0   Inputs:      [67] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [68] numDim=4 dims=[1,512,10,10]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[88384,160,11]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,2.410270)         tensorScale=6032.527832 Convolution [68 68] Layer 67: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv5_block2_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 104(0.000) - 655592(0.656)      Size: 655488(0.655), Ch Pitch: 320      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [63] batchPadH/W=[0,0] numBatchH/W=[1,1] [66] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [67] numDim=4 dims=[1,2048,10,10]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[327744,160,11]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,23.182961)         tensorScale=756.225647 ->Layer 68: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv5_block3_1_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=2048 numOutChannels=512 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=261395.359375 biasScale=12015.109375   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 655592(0.656) - 832360(0.832)      Size: 176768(0.177), Ch Pitch: 320      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=1,0   Inputs:      [67] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [68] numDim=4 dims=[1,512,10,10]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[88384,160,11]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,2.410270)         tensorScale=6032.527832 1x2048x10x10 Layer 71: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv5_block3_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 104(0.000) - 655592(0.656)      Size: 655488(0.655), Ch Pitch: 320      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,1   Inputs:      [67] batchPadH/W=[0,0] numBatchH/W=[1,1] [70] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [71] numDim=4 dims=[1,2048,10,10]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[327744,160,11]         dataQ=0 roundBits=13         min/maxValue=(0,0) min/maxTensorValue=(0.000000,25.752298)         tensorScale=1512.451294 EltWise [71 71] Layer 67: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv5_block2_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 104(0.000) - 655592(0.656)      Size: 655488(0.655), Ch Pitch: 320      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [63] batchPadH/W=[0,0] numBatchH/W=[1,1] [66] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [67] numDim=4 dims=[1,2048,10,10]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[327744,160,11]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,23.182961)         tensorScale=756.225647 ->Layer 71: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv5_block3_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 104(0.000) - 655592(0.656)      Size: 655488(0.655), Ch Pitch: 320      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,1   Inputs:      [67] batchPadH/W=[0,0] numBatchH/W=[1,1] [70] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [71] numDim=4 dims=[1,2048,10,10]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[327744,160,11]         dataQ=0 roundBits=13         min/maxValue=(0,0) min/maxTensorValue=(0.000000,25.752298)         tensorScale=1512.451294 1x2048x10x10 Layer 69: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv5_block3_2_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   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=82887.382812 biasScale=13664.088867   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 5769320(5.769) - 5939688(5.940)      Size: 170368(0.170), Ch Pitch: 320      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [68] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [69] numDim=4 dims=[1,512,10,10]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[85184,160,11]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,2.565359)         tensorScale=15259.413086 Convolution [69 69] Layer 68: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv5_block3_1_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=2048 numOutChannels=512 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=261395.359375 biasScale=12015.109375   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 655592(0.656) - 832360(0.832)      Size: 176768(0.177), Ch Pitch: 320      PadR/C: [1,1] -> [1,1], PadR/CZeros=1,1 PadR/CFillZeros=1,0   Inputs:      [67] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [68] numDim=4 dims=[1,512,10,10]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[88384,160,11]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,2.410270)         tensorScale=6032.527832 ->Layer 69: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv5_block3_2_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   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=82887.382812 biasScale=13664.088867   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 5769320(5.769) - 5939688(5.940)      Size: 170368(0.170), Ch Pitch: 320      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [68] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [69] numDim=4 dims=[1,512,10,10]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[85184,160,11]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,2.565359)         tensorScale=15259.413086 1x512x10x10 Layer 70: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv5_block3_3_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=512 numOutChannels=2048 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=5995.791504 biasScale=6565.346680   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 3060584(3.061) - 3716072(3.716)      Size: 655488(0.655), Ch Pitch: 320      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [69] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [70] numDim=4 dims=[1,2048,10,10]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[327744,160,11]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(-8.882485,6.686479)         tensorScale=2792.122070 Convolution [70 70] Layer 69: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv5_block3_2_relu/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   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=82887.382812 biasScale=13664.088867   actParams:      actType=TIDL_RelU      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 5769320(5.769) - 5939688(5.940)      Size: 170368(0.170), Ch Pitch: 320      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [68] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [69] numDim=4 dims=[1,512,10,10]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[85184,160,11]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(0.000000,2.565359)         tensorScale=15259.413086 ->Layer 70: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv5_block3_3_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=512 numOutChannels=2048 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=5995.791504 biasScale=6565.346680   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 3060584(3.061) - 3716072(3.716)      Size: 655488(0.655), Ch Pitch: 320      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [69] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [70] numDim=4 dims=[1,2048,10,10]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[327744,160,11]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(-8.882485,6.686479)         tensorScale=2792.122070 1x512x10x10 Layer 70: TIDL_ConvolutionLayer "model/resnet50_1/resnet50/conv5_block3_3_bn/FusedB"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetTopLeft   convolutionType=0 numInChannels=512 numOutChannels=2048 numGroups=1   kernelH/W=[1,1] strideH/W=[1,1] padH/W=[0,0] dilationH/W=[1,1]   weightScale=5995.791504 biasScale=6565.346680   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 1, Base Mem: 3060584(3.061) - 3716072(3.716)      Size: 655488(0.655), Ch Pitch: 320      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,1 PadR/CFillZeros=0,0   Inputs:      [69] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [70] numDim=4 dims=[1,2048,10,10]  elementType=TIDL_SignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[327744,160,11]         dataQ=0 roundBits=15         min/maxValue=(0,0) min/maxTensorValue=(-8.882485,6.686479)         tensorScale=2792.122070 ->Layer 71: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv5_block3_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 104(0.000) - 655592(0.656)      Size: 655488(0.655), Ch Pitch: 320      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,1   Inputs:      [67] batchPadH/W=[0,0] numBatchH/W=[1,1] [70] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [71] numDim=4 dims=[1,2048,10,10]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[327744,160,11]         dataQ=0 roundBits=13         min/maxValue=(0,0) min/maxTensorValue=(0.000000,25.752298)         tensorScale=1512.451294 1x2048x10x10 Layer 72: TIDL_PoolingLayer "Identity"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   poolingtype=TIDL_AveragePooling numChannels=0   inDataQ=0 outDataQ=0 useCeil=0   kernelH/W=[0,0] strideH/W=[1,1] padH/W=[0,0]   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 2, Base Mem: 46963066(46.963) - 46965114(46.965)      Size: 2048(0.002), Ch Pitch: 1      PadR/C: [1,1] -> [0,0], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [71] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [72] numDim=4 dims=[1,2048,1,1]  elementType=TIDL_UnsignedShort         padH/W=[0,0] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[2048,1,1]         dataQ=0 roundBits=11         min/maxValue=(0,0) min/maxTensorValue=(0.000000,16.513672)         tensorScale=3024.902588 Pooling [72 72] Layer 71: TIDL_EltWiseLayer "model/resnet50_1/resnet50/conv5_block3_out/Relu"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   numChannels=0 eltWiseType=TIDL_EltWiseSum numInData=2   inDataQ: 0, 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: 104(0.000) - 655592(0.656)      Size: 655488(0.655), Ch Pitch: 320      PadR/C: [1,1] -> [1,1], PadR/CZeros=0,0 PadR/CFillZeros=0,1   Inputs:      [67] batchPadH/W=[0,0] numBatchH/W=[1,1] [70] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [71] numDim=4 dims=[1,2048,10,10]  elementType=TIDL_UnsignedShort         padH/W=[1,1] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[327744,160,11]         dataQ=0 roundBits=13         min/maxValue=(0,0) min/maxTensorValue=(0.000000,25.752298)         tensorScale=1512.451294 ->Layer 72: TIDL_PoolingLayer "Identity"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   poolingtype=TIDL_AveragePooling numChannels=0   inDataQ=0 outDataQ=0 useCeil=0   kernelH/W=[0,0] strideH/W=[1,1] padH/W=[0,0]   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 2, Base Mem: 46963066(46.963) - 46965114(46.965)      Size: 2048(0.002), Ch Pitch: 1      PadR/C: [1,1] -> [0,0], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [71] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [72] numDim=4 dims=[1,2048,1,1]  elementType=TIDL_UnsignedShort         padH/W=[0,0] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[2048,1,1]         dataQ=0 roundBits=11         min/maxValue=(0,0) min/maxTensorValue=(0.000000,16.513672)         tensorScale=3024.902588 1x2048x10x10 Layer 73: TIDL_DataLayer "input_1"   weightsElementSizeInBits=16   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: 46963046(46.963) - 47516774(47.517)      Size: 553728(0.554), Ch Pitch: 184226      PadR/C: [1,1] -> [0,0], PadR/CZeros=3,3 PadR/CFillZeros=3,3   Inputs:      [72] batchPadH/W=[0,0] numBatchH/W=[1,1] Data [73 0] Layer 72: TIDL_PoolingLayer "Identity"   weightsElementSizeInBits=16   strideOffsetMethod=TIDL_StrideOffsetCenter   poolingtype=TIDL_AveragePooling numChannels=0   inDataQ=0 outDataQ=0 useCeil=0   kernelH/W=[0,0] strideH/W=[1,1] padH/W=[0,0]   actParams:      actType=TIDL_NoAct      slopeScale=0.000000 clipMin/Max=(0.000000,0.000000)   Data Flow Info:      Space: 2, Base Mem: 46963066(46.963) - 46965114(46.965)      Size: 2048(0.002), Ch Pitch: 1      PadR/C: [1,1] -> [0,0], PadR/CZeros=0,0 PadR/CFillZeros=0,0   Inputs:      [71] batchPadH/W=[0,0] numBatchH/W=[1,1]   Outputs:      [72] numDim=4 dims=[1,2048,1,1]  elementType=TIDL_UnsignedShort         padH/W=[0,0] batchPadH/W=[0,0] numBatchH/W=[1,1] pitch=[2048,1,1]         dataQ=0 roundBits=11         min/maxValue=(0,0) min/maxTensorValue=(0.000000,16.513672)         tensorScale=3024.902588 ->Layer 73: TIDL_DataLayer "input_1"   weightsElementSizeInBits=16   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: 46963046(46.963) - 47516774(47.517)      Size: 553728(0.554), Ch Pitch: 184226      PadR/C: [1,1] -> [0,0], PadR/CZeros=3,3 PadR/CFillZeros=3,3   Inputs:      [72] batchPadH/W=[0,0] numBatchH/W=[1,1] 1x2048x1x1