models/QCS6490/cutoff_yolov5s_int16_snpe2/cutoff_yolov5s_int16_snpe2.csv

DLC info for: /data0/ai-transform-data/data/3622e363-c39a-4fd2-998c-1a54b793f782/yolov5s_save_path/cutoff_yolov5s_int16_snpe2.dlc
Model Version: N/A
Model Copyright:N/A
Id,Name,Type,Inputs,Outputs,Out Dims,Runtimes,Parameters
0,/model.0/conv/Conv,Conv2d,"images (data type: uFxp_16; tensor dimension: [1, 640, 640, 3]; tensor type: APP_WRITE) [NW Input]","/model.0/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 320, 320, 32]; tensor type: NATIVE)",1x320x320x32,A D G C,"images encoding : bitwidth 16, min 0.000000000000, max 1.000000000000, scale 0.000015259022, offset 0.000000000000"
,,,"model.0.conv.weight (data type: uFxp_8; tensor dimension: [6, 6, 3, 32]; tensor type: STATIC)",,,,"model.0.conv.weight encoding : bitwidth 8, min -11.740019798279, max 14.292198181152, scale 0.102087132633, offset -115.000000000000"
,,,model.0.conv.bias (data type: sFxp_32; tensor dimension: [32]; tensor type: STATIC),,,,"model.0.conv.bias encoding : bitwidth 32, min -10.887279510498, max 10.887279510498, scale 0.000000005070, offset 0.000000000000"
,,,,,,,"/model.0/conv/Conv_output_0 encoding : bitwidth 16, min -47.576812744141, max 50.069561004639, scale 0.001489988179, offset -31931.000000000000"
,,,,,,,bias_op_name: model.0.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[2, 2], [2, 2]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [2, 2]"
,,,,,,,param count: 3k (0.0483%)
,,,,,,,MACs per inference: 353M (4.31%)
1,/model.0/act/Sigmoid,Neuron,"/model.0/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 320, 320, 32]; tensor type: NATIVE)","/model.0/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 320, 320, 32]; tensor type: NATIVE)",1x320x320x32,A D G C,"/model.0/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
2,/model.0/act/Mul,Eltwise_Binary,"/model.0/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 320, 320, 32]; tensor type: NATIVE)","/model.0/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 320, 320, 32]; tensor type: NATIVE)",1x320x320x32,A D G C,"/model.0/act/Mul_output_0 encoding : bitwidth 16, min -0.278106689453, max 50.069190979004, scale 0.000768250495, offset -362.000000000000"
,,,"/model.0/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 320, 320, 32]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
3,/model.1/conv/Conv,Conv2d,"/model.0/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 320, 320, 32]; tensor type: NATIVE)","/model.1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 160, 160, 64]; tensor type: NATIVE)",1x160x160x64,A D G C,"model.1.conv.weight encoding : bitwidth 8, min -0.967206001282, max 0.794490695000, scale 0.006908614654, offset -140.000000000000"
,,,"model.1.conv.weight (data type: uFxp_8; tensor dimension: [3, 3, 32, 64]; tensor type: STATIC)",,,,"model.1.conv.bias encoding : bitwidth 32, min -4.244979858398, max 4.244979858398, scale 0.000000001977, offset 0.000000000000"
,,,model.1.conv.bias (data type: sFxp_32; tensor dimension: [64]; tensor type: STATIC),,,,"/model.1/conv/Conv_output_0 encoding : bitwidth 16, min -80.931404113770, max 81.543769836426, scale 0.002479212126, offset -32644.000000000000"
,,,,,,,bias_op_name: model.1.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[1, 1], [1, 1]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [2, 2]"
,,,,,,,param count: 18k (0.256%)
,,,,,,,MACs per inference: 471M (5.74%)
4,/model.1/act/Sigmoid,Neuron,"/model.1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 160, 160, 64]; tensor type: NATIVE)","/model.1/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 160, 160, 64]; tensor type: NATIVE)",1x160x160x64,A D G C,"/model.1/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
5,/model.1/act/Mul,Eltwise_Binary,"/model.1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 160, 160, 64]; tensor type: NATIVE)","/model.1/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 160, 160, 64]; tensor type: NATIVE)",1x160x160x64,A D G C,"/model.1/act/Mul_output_0 encoding : bitwidth 16, min -0.278422504663, max 81.544090270996, scale 0.001248531509, offset -223.000000000000"
,,,"/model.1/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 160, 160, 64]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
6,/model.2/cv1/conv/Conv,Conv2d,"/model.1/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 160, 160, 64]; tensor type: NATIVE)","/model.2/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 160, 160, 32]; tensor type: NATIVE)",1x160x160x32,A D G C,"model.2.cv1.conv.weight encoding : bitwidth 8, min -0.663011074066, max 0.260856807232, scale 0.003623011289, offset -183.000000000000"
,,,"model.2.cv1.conv.weight (data type: uFxp_8; tensor dimension: [1, 1, 64, 32]; tensor type: STATIC)",,,,"model.2.cv1.conv.bias encoding : bitwidth 32, min -2.148406505585, max 2.148406505585, scale 0.000000001000, offset 0.000000000000"
,,,model.2.cv1.conv.bias (data type: sFxp_32; tensor dimension: [32]; tensor type: STATIC),,,,"/model.2/cv1/conv/Conv_output_0 encoding : bitwidth 16, min -45.227924346924, max 22.229505538940, scale 0.001029334380, offset -43939.000000000000"
,,,,,,,bias_op_name: model.2.cv1.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[0, 0], [0, 0]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [1, 1]"
,,,,,,,param count: 2k (0.0288%)
,,,,,,,MACs per inference: 52M (0.638%)
7,/model.2/cv1/act/Sigmoid,Neuron,"/model.2/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 160, 160, 32]; tensor type: NATIVE)","/model.2/cv1/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 160, 160, 32]; tensor type: NATIVE)",1x160x160x32,A D G C,"/model.2/cv1/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
8,/model.2/cv1/act/Mul,Eltwise_Binary,"/model.2/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 160, 160, 32]; tensor type: NATIVE)","/model.2/cv1/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 160, 160, 32]; tensor type: NATIVE)",1x160x160x32,A D G C,"/model.2/cv1/act/Mul_output_0 encoding : bitwidth 16, min -0.278536349535, max 22.229328155518, scale 0.000343448017, offset -811.000000000000"
,,,"/model.2/cv1/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 160, 160, 32]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
9,/model.2/m/m.0/cv1/conv/Conv,Conv2d,"/model.2/cv1/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 160, 160, 32]; tensor type: NATIVE)","/model.2/m/m.0/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 160, 160, 32]; tensor type: NATIVE)",1x160x160x32,A D G C,"model.2.m.0.cv1.conv.weight encoding : bitwidth 8, min -3.478188514709, max 1.619156718254, scale 0.019989589229, offset -174.000000000000"
,,,"model.2.m.0.cv1.conv.weight (data type: uFxp_8; tensor dimension: [1, 1, 32, 32]; tensor type: STATIC)",,,,"model.2.m.0.cv1.conv.bias encoding : bitwidth 32, min -5.234250545502, max 5.234250545502, scale 0.000000002437, offset 0.000000000000"
,,,model.2.m.0.cv1.conv.bias (data type: sFxp_32; tensor dimension: [32]; tensor type: STATIC),,,,"/model.2/m/m.0/cv1/conv/Conv_output_0 encoding : bitwidth 16, min -45.830608367920, max 15.104853630066, scale 0.000929815520, offset -49290.000000000000"
,,,,,,,bias_op_name: model.2.m.0.cv1.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[0, 0], [0, 0]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [1, 1]"
,,,,,,,param count: 1k (0.0146%)
,,,,,,,MACs per inference: 26M (0.319%)
10,/model.2/m/m.0/cv1/act/Sigmoid,Neuron,"/model.2/m/m.0/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 160, 160, 32]; tensor type: NATIVE)","/model.2/m/m.0/cv1/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 160, 160, 32]; tensor type: NATIVE)",1x160x160x32,A D G C,"/model.2/m/m.0/cv1/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
11,/model.2/m/m.0/cv1/act/Mul,Eltwise_Binary,"/model.2/m/m.0/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 160, 160, 32]; tensor type: NATIVE)","/model.2/m/m.0/cv1/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 160, 160, 32]; tensor type: NATIVE)",1x160x160x32,A D G C,"/model.2/m/m.0/cv1/act/Mul_output_0 encoding : bitwidth 16, min -0.278397649527, max 15.105068206787, scale 0.000234736639, offset -1186.000000000000"
,,,"/model.2/m/m.0/cv1/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 160, 160, 32]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
12,/model.2/m/m.0/cv2/conv/Conv,Conv2d,"/model.2/m/m.0/cv1/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 160, 160, 32]; tensor type: NATIVE)","/model.2/m/m.0/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 160, 160, 32]; tensor type: NATIVE)",1x160x160x32,A D G C,"model.2.m.0.cv2.conv.weight encoding : bitwidth 8, min -2.201115131378, max 2.515560388565, scale 0.018496766686, offset -119.000000000000"
,,,"model.2.m.0.cv2.conv.weight (data type: uFxp_8; tensor dimension: [3, 3, 32, 32]; tensor type: STATIC)",,,,"model.2.m.0.cv2.conv.bias encoding : bitwidth 32, min -6.463135242462, max 6.463135242462, scale 0.000000003010, offset 0.000000000000"
,,,model.2.m.0.cv2.conv.bias (data type: sFxp_32; tensor dimension: [32]; tensor type: STATIC),,,,"/model.2/m/m.0/cv2/conv/Conv_output_0 encoding : bitwidth 16, min -27.193128585815, max 27.255439758301, scale 0.000830831879, offset -32730.000000000000"
,,,,,,,bias_op_name: model.2.m.0.cv2.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[1, 1], [1, 1]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [1, 1]"
,,,,,,,param count: 9k (0.128%)
,,,,,,,MACs per inference: 235M (2.87%)
13,/model.2/m/m.0/cv2/act/Sigmoid,Neuron,"/model.2/m/m.0/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 160, 160, 32]; tensor type: NATIVE)","/model.2/m/m.0/cv2/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 160, 160, 32]; tensor type: NATIVE)",1x160x160x32,A D G C,"/model.2/m/m.0/cv2/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
14,/model.2/m/m.0/cv2/act/Mul,Eltwise_Binary,"/model.2/m/m.0/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 160, 160, 32]; tensor type: NATIVE)","/model.2/m/m.0/cv2/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 160, 160, 32]; tensor type: NATIVE)",1x160x160x32,A D G C,"/model.2/m/m.0/cv2/act/Mul_output_0 encoding : bitwidth 16, min -0.278553187847, max 27.255359649658, scale 0.000420140568, offset -663.000000000000"
,,,"/model.2/m/m.0/cv2/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 160, 160, 32]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
15,/model.2/m/m.0/Add,Eltwise_Binary,"/model.2/cv1/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 160, 160, 32]; tensor type: NATIVE)","/model.2/m/m.0/Add_output_0 (data type: uFxp_16; tensor dimension: [1, 160, 160, 32]; tensor type: NATIVE)",1x160x160x32,A D G C,"/model.2/m/m.0/Add_output_0 encoding : bitwidth 16, min -0.556870102882, max 27.111425399780, scale 0.000422191137, offset -1319.000000000000"
,,,"/model.2/m/m.0/cv2/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 160, 160, 32]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseAdd
,,,,,,,packageName: qti.aisw
16,/model.2/cv2/conv/Conv,Conv2d,"/model.1/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 160, 160, 64]; tensor type: NATIVE)","/model.2/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 160, 160, 32]; tensor type: NATIVE)",1x160x160x32,A D G C,"model.2.cv2.conv.weight encoding : bitwidth 8, min -1.497491240501, max 0.635806322098, scale 0.008365873247, offset -179.000000000000"
,,,"model.2.cv2.conv.weight (data type: uFxp_8; tensor dimension: [1, 1, 64, 32]; tensor type: STATIC)",,,,"model.2.cv2.conv.bias encoding : bitwidth 32, min -3.142369747162, max 3.142369747162, scale 0.000000001463, offset 0.000000000000"
,,,model.2.cv2.conv.bias (data type: sFxp_32; tensor dimension: [32]; tensor type: STATIC),,,,"/model.2/cv2/conv/Conv_output_0 encoding : bitwidth 16, min -110.018058776855, max 42.153350830078, scale 0.002321986947, offset -47381.000000000000"
,,,,,,,bias_op_name: model.2.cv2.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[0, 0], [0, 0]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [1, 1]"
,,,,,,,param count: 2k (0.0288%)
,,,,,,,MACs per inference: 52M (0.638%)
17,/model.2/cv2/act/Sigmoid,Neuron,"/model.2/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 160, 160, 32]; tensor type: NATIVE)","/model.2/cv2/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 160, 160, 32]; tensor type: NATIVE)",1x160x160x32,A D G C,"/model.2/cv2/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
18,/model.2/cv2/act/Mul,Eltwise_Binary,"/model.2/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 160, 160, 32]; tensor type: NATIVE)","/model.2/cv2/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 160, 160, 32]; tensor type: NATIVE)",1x160x160x32,A D G C,"/model.2/cv2/act/Mul_output_0 encoding : bitwidth 16, min -0.278407722712, max 42.152873992920, scale 0.000647459878, offset -430.000000000000"
,,,"/model.2/cv2/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 160, 160, 32]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
19,/model.2/Concat,Concat,"/model.2/m/m.0/Add_output_0 (data type: uFxp_16; tensor dimension: [1, 160, 160, 32]; tensor type: NATIVE)","/model.2/Concat_output_0 (data type: uFxp_16; tensor dimension: [1, 160, 160, 64]; tensor type: NATIVE)",1x160x160x64,A D G C,"/model.2/Concat_output_0 encoding : bitwidth 16, min -0.556870102882, max 42.152873992920, scale 0.000651708920, offset -854.000000000000"
,,,"/model.2/cv2/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 160, 160, 32]; tensor type: NATIVE)",,,,axis: 3
,,,,,,,packageName: qti.aisw
20,/model.2/cv3/conv/Conv,Conv2d,"/model.2/Concat_output_0 (data type: uFxp_16; tensor dimension: [1, 160, 160, 64]; tensor type: NATIVE)","/model.2/cv3/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 160, 160, 64]; tensor type: NATIVE)",1x160x160x64,A D G C,"model.2.cv3.conv.weight encoding : bitwidth 8, min -0.952466607094, max 0.699771344662, scale 0.006479364354, offset -147.000000000000"
,,,"model.2.cv3.conv.weight (data type: uFxp_8; tensor dimension: [1, 1, 64, 64]; tensor type: STATIC)",,,,"model.2.cv3.conv.bias encoding : bitwidth 32, min -6.437954902649, max 6.437954902649, scale 0.000000002998, offset 0.000000000000"
,,,model.2.cv3.conv.bias (data type: sFxp_32; tensor dimension: [64]; tensor type: STATIC),,,,"/model.2/cv3/conv/Conv_output_0 encoding : bitwidth 16, min -27.020463943481, max 17.124479293823, scale 0.000673608680, offset -40113.000000000000"
,,,,,,,bias_op_name: model.2.cv3.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[0, 0], [0, 0]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [1, 1]"
,,,,,,,param count: 4k (0.0576%)
,,,,,,,MACs per inference: 104M (1.28%)
21,/model.2/cv3/act/Sigmoid,Neuron,"/model.2/cv3/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 160, 160, 64]; tensor type: NATIVE)","/model.2/cv3/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 160, 160, 64]; tensor type: NATIVE)",1x160x160x64,A D G C,"/model.2/cv3/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
22,/model.2/cv3/act/Mul,Eltwise_Binary,"/model.2/cv3/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 160, 160, 64]; tensor type: NATIVE)","/model.2/cv3/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 160, 160, 64]; tensor type: NATIVE)",1x160x160x64,A D G C,"/model.2/cv3/act/Mul_output_0 encoding : bitwidth 16, min -0.278559714556, max 17.124118804932, scale 0.000265547860, offset -1049.000000000000"
,,,"/model.2/cv3/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 160, 160, 64]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
23,/model.3/conv/Conv,Conv2d,"/model.2/cv3/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 160, 160, 64]; tensor type: NATIVE)","/model.3/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 128]; tensor type: NATIVE)",1x80x80x128,A D G C,"model.3.conv.weight encoding : bitwidth 8, min -0.493704855442, max 0.582318544388, scale 0.004219699651, offset -117.000000000000"
,,,"model.3.conv.weight (data type: uFxp_8; tensor dimension: [3, 3, 64, 128]; tensor type: STATIC)",,,,"model.3.conv.bias encoding : bitwidth 32, min -3.177195310593, max 3.177195310593, scale 0.000000001479, offset 0.000000000000"
,,,model.3.conv.bias (data type: sFxp_32; tensor dimension: [128]; tensor type: STATIC),,,,"/model.3/conv/Conv_output_0 encoding : bitwidth 16, min -14.507872581482, max 9.024375915527, scale 0.000359079102, offset -40403.000000000000"
,,,,,,,bias_op_name: model.3.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[1, 1], [1, 1]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [2, 2]"
,,,,,,,param count: 73k (1.02%)
,,,,,,,MACs per inference: 471M (5.74%)
24,/model.3/act/Sigmoid,Neuron,"/model.3/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 128]; tensor type: NATIVE)","/model.3/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 128]; tensor type: NATIVE)",1x80x80x128,A D G C,"/model.3/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
25,/model.3/act/Mul,Eltwise_Binary,"/model.3/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 128]; tensor type: NATIVE)","/model.3/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 128]; tensor type: NATIVE)",1x80x80x128,A D G C,"/model.3/act/Mul_output_0 encoding : bitwidth 16, min -0.278479456902, max 9.023329734802, scale 0.000141936514, offset -1962.000000000000"
,,,"/model.3/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 128]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
26,/model.4/cv1/conv/Conv,Conv2d,"/model.3/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 128]; tensor type: NATIVE)","/model.4/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)",1x80x80x64,A D G C,"model.4.cv1.conv.weight encoding : bitwidth 8, min -0.750764250755, max 0.355853587389, scale 0.004339677747, offset -173.000000000000"
,,,"model.4.cv1.conv.weight (data type: uFxp_8; tensor dimension: [1, 1, 128, 64]; tensor type: STATIC)",,,,"model.4.cv1.conv.bias encoding : bitwidth 32, min -1.200073599815, max 1.200073599815, scale 0.000000000559, offset 0.000000000000"
,,,model.4.cv1.conv.bias (data type: sFxp_32; tensor dimension: [64]; tensor type: STATIC),,,,"/model.4/cv1/conv/Conv_output_0 encoding : bitwidth 16, min -6.987429141998, max 2.906509637833, scale 0.000150971828, offset -46283.000000000000"
,,,,,,,bias_op_name: model.4.cv1.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[0, 0], [0, 0]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [1, 1]"
,,,,,,,param count: 8k (0.114%)
,,,,,,,MACs per inference: 52M (0.638%)
27,/model.4/cv1/act/Sigmoid,Neuron,"/model.4/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)","/model.4/cv1/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)",1x80x80x64,A D G C,"/model.4/cv1/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
28,/model.4/cv1/act/Mul,Eltwise_Binary,"/model.4/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)","/model.4/cv1/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)",1x80x80x64,A D G C,"/model.4/cv1/act/Mul_output_0 encoding : bitwidth 16, min -0.278457492590, max 2.755914449692, scale 0.000046301546, offset -6014.000000000000"
,,,"/model.4/cv1/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
29,/model.4/m/m.0/cv1/conv/Conv,Conv2d,"/model.4/cv1/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)","/model.4/m/m.0/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)",1x80x80x64,A D G C,"model.4.m.0.cv1.conv.weight encoding : bitwidth 8, min -2.917552232742, max 3.784932374954, scale 0.026284253225, offset -111.000000000000"
,,,"model.4.m.0.cv1.conv.weight (data type: uFxp_8; tensor dimension: [1, 1, 64, 64]; tensor type: STATIC)",,,,"model.4.m.0.cv1.conv.bias encoding : bitwidth 32, min -3.825795173645, max 3.825795173645, scale 0.000000001782, offset 0.000000000000"
,,,model.4.m.0.cv1.conv.bias (data type: sFxp_32; tensor dimension: [64]; tensor type: STATIC),,,,"/model.4/m/m.0/cv1/conv/Conv_output_0 encoding : bitwidth 16, min -10.479807853699, max 10.484605789185, scale 0.000319896440, offset -32760.000000000000"
,,,,,,,bias_op_name: model.4.m.0.cv1.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[0, 0], [0, 0]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [1, 1]"
,,,,,,,param count: 4k (0.0576%)
,,,,,,,MACs per inference: 26M (0.319%)
30,/model.4/m/m.0/cv1/act/Sigmoid,Neuron,"/model.4/m/m.0/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)","/model.4/m/m.0/cv1/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)",1x80x80x64,A D G C,"/model.4/m/m.0/cv1/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
31,/model.4/m/m.0/cv1/act/Mul,Eltwise_Binary,"/model.4/m/m.0/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)","/model.4/m/m.0/cv1/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)",1x80x80x64,A D G C,"/model.4/m/m.0/cv1/act/Mul_output_0 encoding : bitwidth 16, min -0.278535932302, max 10.484348297119, scale 0.000164231082, offset -1696.000000000000"
,,,"/model.4/m/m.0/cv1/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
32,/model.4/m/m.0/cv2/conv/Conv,Conv2d,"/model.4/m/m.0/cv1/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)","/model.4/m/m.0/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)",1x80x80x64,A D G C,"model.4.m.0.cv2.conv.weight encoding : bitwidth 8, min -0.385654598475, max 0.469492524862, scale 0.003353518201, offset -115.000000000000"
,,,"model.4.m.0.cv2.conv.weight (data type: uFxp_8; tensor dimension: [3, 3, 64, 64]; tensor type: STATIC)",,,,"model.4.m.0.cv2.conv.bias encoding : bitwidth 32, min -2.385303020477, max 2.385303020477, scale 0.000000001111, offset 0.000000000000"
,,,model.4.m.0.cv2.conv.bias (data type: sFxp_32; tensor dimension: [64]; tensor type: STATIC),,,,"/model.4/m/m.0/cv2/conv/Conv_output_0 encoding : bitwidth 16, min -7.293066024780, max 5.208596706390, scale 0.000190763152, offset -38231.000000000000"
,,,,,,,bias_op_name: model.4.m.0.cv2.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[1, 1], [1, 1]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [1, 1]"
,,,,,,,param count: 36k (0.511%)
,,,,,,,MACs per inference: 235M (2.87%)
33,/model.4/m/m.0/cv2/act/Sigmoid,Neuron,"/model.4/m/m.0/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)","/model.4/m/m.0/cv2/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)",1x80x80x64,A D G C,"/model.4/m/m.0/cv2/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
34,/model.4/m/m.0/cv2/act/Mul,Eltwise_Binary,"/model.4/m/m.0/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)","/model.4/m/m.0/cv2/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)",1x80x80x64,A D G C,"/model.4/m/m.0/cv2/act/Mul_output_0 encoding : bitwidth 16, min -0.278453469276, max 5.180250644684, scale 0.000083294486, offset -3343.000000000000"
,,,"/model.4/m/m.0/cv2/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
35,/model.4/m/m.0/Add,Eltwise_Binary,"/model.4/cv1/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)","/model.4/m/m.0/Add_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)",1x80x80x64,A D G C,"/model.4/m/m.0/Add_output_0 encoding : bitwidth 16, min -0.556935131550, max 5.005201816559, scale 0.000084872772, offset -6562.000000000000"
,,,"/model.4/m/m.0/cv2/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseAdd
,,,,,,,packageName: qti.aisw
36,/model.4/m/m.1/cv1/conv/Conv,Conv2d,"/model.4/m/m.0/Add_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)","/model.4/m/m.1/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)",1x80x80x64,A D G C,"model.4.m.1.cv1.conv.weight encoding : bitwidth 8, min -2.033593893051, max 1.423515796661, scale 0.013557292521, offset -150.000000000000"
,,,"model.4.m.1.cv1.conv.weight (data type: uFxp_8; tensor dimension: [1, 1, 64, 64]; tensor type: STATIC)",,,,"model.4.m.1.cv1.conv.bias encoding : bitwidth 32, min -2.686864852905, max 2.686864852905, scale 0.000000001251, offset 0.000000000000"
,,,model.4.m.1.cv1.conv.bias (data type: sFxp_32; tensor dimension: [64]; tensor type: STATIC),,,,"/model.4/m/m.1/cv1/conv/Conv_output_0 encoding : bitwidth 16, min -9.768454551697, max 7.766281604767, scale 0.000267562922, offset -36509.000000000000"
,,,,,,,bias_op_name: model.4.m.1.cv1.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[0, 0], [0, 0]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [1, 1]"
,,,,,,,param count: 4k (0.0576%)
,,,,,,,MACs per inference: 26M (0.319%)
37,/model.4/m/m.1/cv1/act/Sigmoid,Neuron,"/model.4/m/m.1/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)","/model.4/m/m.1/cv1/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)",1x80x80x64,A D G C,"/model.4/m/m.1/cv1/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
38,/model.4/m/m.1/cv1/act/Mul,Eltwise_Binary,"/model.4/m/m.1/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)","/model.4/m/m.1/cv1/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)",1x80x80x64,A D G C,"/model.4/m/m.1/cv1/act/Mul_output_0 encoding : bitwidth 16, min -0.278420478106, max 7.763133525848, scale 0.000122706246, offset -2269.000000000000"
,,,"/model.4/m/m.1/cv1/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
39,/model.4/m/m.1/cv2/conv/Conv,Conv2d,"/model.4/m/m.1/cv1/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)","/model.4/m/m.1/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)",1x80x80x64,A D G C,"model.4.m.1.cv2.conv.weight encoding : bitwidth 8, min -0.926929771900, max 0.798377454281, scale 0.006765910890, offset -137.000000000000"
,,,"model.4.m.1.cv2.conv.weight (data type: uFxp_8; tensor dimension: [3, 3, 64, 64]; tensor type: STATIC)",,,,"model.4.m.1.cv2.conv.bias encoding : bitwidth 32, min -2.182634353638, max 2.182634353638, scale 0.000000001016, offset 0.000000000000"
,,,model.4.m.1.cv2.conv.bias (data type: sFxp_32; tensor dimension: [64]; tensor type: STATIC),,,,"/model.4/m/m.1/cv2/conv/Conv_output_0 encoding : bitwidth 16, min -14.529125213623, max 10.841001510620, scale 0.000387123320, offset -37531.000000000000"
,,,,,,,bias_op_name: model.4.m.1.cv2.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[1, 1], [1, 1]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [1, 1]"
,,,,,,,param count: 36k (0.511%)
,,,,,,,MACs per inference: 235M (2.87%)
40,/model.4/m/m.1/cv2/act/Sigmoid,Neuron,"/model.4/m/m.1/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)","/model.4/m/m.1/cv2/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)",1x80x80x64,A D G C,"/model.4/m/m.1/cv2/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
41,/model.4/m/m.1/cv2/act/Mul,Eltwise_Binary,"/model.4/m/m.1/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)","/model.4/m/m.1/cv2/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)",1x80x80x64,A D G C,"/model.4/m/m.1/cv2/act/Mul_output_0 encoding : bitwidth 16, min -0.278423190117, max 10.840688705444, scale 0.000169666775, offset -1641.000000000000"
,,,"/model.4/m/m.1/cv2/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
42,/model.4/m/m.1/Add,Eltwise_Binary,"/model.4/m/m.0/Add_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)","/model.4/m/m.1/Add_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)",1x80x80x64,A D G C,"/model.4/m/m.1/Add_output_0 encoding : bitwidth 16, min -0.835357725620, max 10.651248931885, scale 0.000175274385, offset -4766.000000000000"
,,,"/model.4/m/m.1/cv2/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseAdd
,,,,,,,packageName: qti.aisw
43,/model.4/cv2/conv/Conv,Conv2d,"/model.3/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 128]; tensor type: NATIVE)","/model.4/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)",1x80x80x64,A D G C,"model.4.cv2.conv.weight encoding : bitwidth 8, min -1.484934687614, max 1.473333716393, scale 0.011601052247, offset -128.000000000000"
,,,"model.4.cv2.conv.weight (data type: uFxp_8; tensor dimension: [1, 1, 128, 64]; tensor type: STATIC)",,,,"model.4.cv2.conv.bias encoding : bitwidth 32, min -4.325590133667, max 4.325590133667, scale 0.000000002014, offset 0.000000000000"
,,,model.4.cv2.conv.bias (data type: sFxp_32; tensor dimension: [64]; tensor type: STATIC),,,,"/model.4/cv2/conv/Conv_output_0 encoding : bitwidth 16, min -9.854441642761, max 9.099855422974, scale 0.000289224030, offset -34072.000000000000"
,,,,,,,bias_op_name: model.4.cv2.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[0, 0], [0, 0]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [1, 1]"
,,,,,,,param count: 8k (0.114%)
,,,,,,,MACs per inference: 52M (0.638%)
44,/model.4/cv2/act/Sigmoid,Neuron,"/model.4/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)","/model.4/cv2/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)",1x80x80x64,A D G C,"/model.4/cv2/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
45,/model.4/cv2/act/Mul,Eltwise_Binary,"/model.4/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)","/model.4/cv2/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)",1x80x80x64,A D G C,"/model.4/cv2/act/Mul_output_0 encoding : bitwidth 16, min -0.278452366590, max 9.098924636841, scale 0.000143089594, offset -1946.000000000000"
,,,"/model.4/cv2/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
46,/model.4/Concat,Concat,"/model.4/m/m.1/Add_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)","/model.4/Concat_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 128]; tensor type: NATIVE)",1x80x80x128,A D G C,"/model.4/Concat_output_0 encoding : bitwidth 16, min -0.835357725620, max 10.651248931885, scale 0.000175274385, offset -4766.000000000000"
,,,"/model.4/cv2/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)",,,,axis: 3
,,,,,,,packageName: qti.aisw
47,/model.4/cv3/conv/Conv,Conv2d,"/model.4/Concat_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 128]; tensor type: NATIVE)","/model.4/cv3/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 128]; tensor type: NATIVE)",1x80x80x128,A D G C,"model.4.cv3.conv.weight encoding : bitwidth 8, min -0.705637216568, max 0.678497374058, scale 0.005427978933, offset -130.000000000000"
,,,"model.4.cv3.conv.weight (data type: uFxp_8; tensor dimension: [1, 1, 128, 128]; tensor type: STATIC)",,,,"model.4.cv3.conv.bias encoding : bitwidth 32, min -3.149493694305, max 3.149493694305, scale 0.000000001467, offset 0.000000000000"
,,,model.4.cv3.conv.bias (data type: sFxp_32; tensor dimension: [128]; tensor type: STATIC),,,,"/model.4/cv3/conv/Conv_output_0 encoding : bitwidth 16, min -9.692122459412, max 8.452054977417, scale 0.000276862411, offset -35007.000000000000"
,,,,,,,bias_op_name: model.4.cv3.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[0, 0], [0, 0]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [1, 1]"
,,,,,,,param count: 16k (0.229%)
,,,,,,,MACs per inference: 104M (1.28%)
48,/model.4/cv3/act/Sigmoid,Neuron,"/model.4/cv3/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 128]; tensor type: NATIVE)","/model.4/cv3/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 128]; tensor type: NATIVE)",1x80x80x128,A D G C,"/model.4/cv3/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
49,/model.4/cv3/act/Mul,Eltwise_Binary,"/model.4/cv3/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 128]; tensor type: NATIVE)","/model.4/cv3/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 128]; tensor type: NATIVE)",1x80x80x128,A D G C,"/model.4/cv3/act/Mul_output_0 encoding : bitwidth 16, min -0.278503715992, max 8.450210571289, scale 0.000133191643, offset -2091.000000000000"
,,,"/model.4/cv3/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 128]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
50,/model.5/conv/Conv,Conv2d,"/model.4/cv3/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 128]; tensor type: NATIVE)","/model.5/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 256]; tensor type: NATIVE)",1x40x40x256,A D G C,"model.5.conv.weight encoding : bitwidth 8, min -0.783310711384, max 0.505361795425, scale 0.005053617526, offset -155.000000000000"
,,,"model.5.conv.weight (data type: uFxp_8; tensor dimension: [3, 3, 128, 256]; tensor type: STATIC)",,,,"model.5.conv.bias encoding : bitwidth 32, min -3.501016855240, max 3.501016855240, scale 0.000000001630, offset 0.000000000000"
,,,model.5.conv.bias (data type: sFxp_32; tensor dimension: [256]; tensor type: STATIC),,,,"/model.5/conv/Conv_output_0 encoding : bitwidth 16, min -11.648500442505, max 9.544850349426, scale 0.000323389802, offset -36020.000000000000"
,,,,,,,bias_op_name: model.5.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[1, 1], [1, 1]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [2, 2]"
,,,,,,,param count: 295k (4.08%)
,,,,,,,MACs per inference: 471M (5.74%)
51,/model.5/act/Sigmoid,Neuron,"/model.5/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 256]; tensor type: NATIVE)","/model.5/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 256]; tensor type: NATIVE)",1x40x40x256,A D G C,"/model.5/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
52,/model.5/act/Mul,Eltwise_Binary,"/model.5/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 256]; tensor type: NATIVE)","/model.5/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 256]; tensor type: NATIVE)",1x40x40x256,A D G C,"/model.5/act/Mul_output_0 encoding : bitwidth 16, min -0.278484076262, max 9.544150352478, scale 0.000149883781, offset -1858.000000000000"
,,,"/model.5/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 256]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
53,/model.6/cv1/conv/Conv,Conv2d,"/model.5/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 256]; tensor type: NATIVE)","/model.6/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"model.6.cv1.conv.weight encoding : bitwidth 8, min -0.493675291538, max 0.705250442028, scale 0.004701669328, offset -105.000000000000"
,,,"model.6.cv1.conv.weight (data type: uFxp_8; tensor dimension: [1, 1, 256, 128]; tensor type: STATIC)",,,,"model.6.cv1.conv.bias encoding : bitwidth 32, min -1.552146315575, max 1.552146315575, scale 0.000000000723, offset 0.000000000000"
,,,model.6.cv1.conv.bias (data type: sFxp_32; tensor dimension: [128]; tensor type: STATIC),,,,"/model.6/cv1/conv/Conv_output_0 encoding : bitwidth 16, min -7.657879829407, max 4.130876541138, scale 0.000179884897, offset -42571.000000000000"
,,,,,,,bias_op_name: model.6.cv1.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[0, 0], [0, 0]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [1, 1]"
,,,,,,,param count: 32k (0.455%)
,,,,,,,MACs per inference: 52M (0.638%)
54,/model.6/cv1/act/Sigmoid,Neuron,"/model.6/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)","/model.6/cv1/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"/model.6/cv1/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
55,/model.6/cv1/act/Mul,Eltwise_Binary,"/model.6/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)","/model.6/cv1/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"/model.6/cv1/act/Mul_output_0 encoding : bitwidth 16, min -0.278463363647, max 4.065525531769, scale 0.000066285022, offset -4201.000000000000"
,,,"/model.6/cv1/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
56,/model.6/m/m.0/cv1/conv/Conv,Conv2d,"/model.6/cv1/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)","/model.6/m/m.0/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"model.6.m.0.cv1.conv.weight encoding : bitwidth 8, min -2.751099348068, max 3.244886159897, scale 0.023513669148, offset -117.000000000000"
,,,"model.6.m.0.cv1.conv.weight (data type: uFxp_8; tensor dimension: [1, 1, 128, 128]; tensor type: STATIC)",,,,"model.6.m.0.cv1.conv.bias encoding : bitwidth 32, min -4.260776996613, max 4.260776996613, scale 0.000000001984, offset 0.000000000000"
,,,model.6.m.0.cv1.conv.bias (data type: sFxp_32; tensor dimension: [128]; tensor type: STATIC),,,,"/model.6/m/m.0/cv1/conv/Conv_output_0 encoding : bitwidth 16, min -8.858385086060, max 14.952543258667, scale 0.000363331463, offset -24381.000000000000"
,,,,,,,bias_op_name: model.6.m.0.cv1.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[0, 0], [0, 0]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [1, 1]"
,,,,,,,param count: 16k (0.229%)
,,,,,,,MACs per inference: 26M (0.319%)
57,/model.6/m/m.0/cv1/act/Sigmoid,Neuron,"/model.6/m/m.0/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)","/model.6/m/m.0/cv1/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"/model.6/m/m.0/cv1/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
58,/model.6/m/m.0/cv1/act/Mul,Eltwise_Binary,"/model.6/m/m.0/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)","/model.6/m/m.0/cv1/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"/model.6/m/m.0/cv1/act/Mul_output_0 encoding : bitwidth 16, min -0.278427958488, max 14.952603340149, scale 0.000232410646, offset -1198.000000000000"
,,,"/model.6/m/m.0/cv1/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
59,/model.6/m/m.0/cv2/conv/Conv,Conv2d,"/model.6/m/m.0/cv1/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)","/model.6/m/m.0/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"model.6.m.0.cv2.conv.weight encoding : bitwidth 8, min -0.515836954117, max 0.240130990744, scale 0.002964580199, offset -174.000000000000"
,,,"model.6.m.0.cv2.conv.weight (data type: uFxp_8; tensor dimension: [3, 3, 128, 128]; tensor type: STATIC)",,,,"model.6.m.0.cv2.conv.bias encoding : bitwidth 32, min -1.657929182053, max 1.657929182053, scale 0.000000000772, offset 0.000000000000"
,,,model.6.m.0.cv2.conv.bias (data type: sFxp_32; tensor dimension: [128]; tensor type: STATIC),,,,"/model.6/m/m.0/cv2/conv/Conv_output_0 encoding : bitwidth 16, min -6.529929161072, max 5.597452163696, scale 0.000185051977, offset -35287.000000000000"
,,,,,,,bias_op_name: model.6.m.0.cv2.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[1, 1], [1, 1]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [1, 1]"
,,,,,,,param count: 147k (2.04%)
,,,,,,,MACs per inference: 235M (2.87%)
60,/model.6/m/m.0/cv2/act/Sigmoid,Neuron,"/model.6/m/m.0/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)","/model.6/m/m.0/cv2/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"/model.6/m/m.0/cv2/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
61,/model.6/m/m.0/cv2/act/Mul,Eltwise_Binary,"/model.6/m/m.0/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)","/model.6/m/m.0/cv2/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"/model.6/m/m.0/cv2/act/Mul_output_0 encoding : bitwidth 16, min -0.278488844633, max 5.576745510101, scale 0.000089345151, offset -3117.000000000000"
,,,"/model.6/m/m.0/cv2/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
62,/model.6/m/m.0/Add,Eltwise_Binary,"/model.6/cv1/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)","/model.6/m/m.0/Add_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"/model.6/m/m.0/Add_output_0 encoding : bitwidth 16, min -0.556914687157, max 8.452565193176, scale 0.000137475858, offset -4051.000000000000"
,,,"/model.6/m/m.0/cv2/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseAdd
,,,,,,,packageName: qti.aisw
63,/model.6/m/m.1/cv1/conv/Conv,Conv2d,"/model.6/m/m.0/Add_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)","/model.6/m/m.1/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"model.6.m.1.cv1.conv.weight encoding : bitwidth 8, min -2.055269718170, max 1.770232319832, scale 0.015001968481, offset -137.000000000000"
,,,"model.6.m.1.cv1.conv.weight (data type: uFxp_8; tensor dimension: [1, 1, 128, 128]; tensor type: STATIC)",,,,"model.6.m.1.cv1.conv.bias encoding : bitwidth 32, min -3.756540298462, max 3.756540298462, scale 0.000000001749, offset 0.000000000000"
,,,model.6.m.1.cv1.conv.bias (data type: sFxp_32; tensor dimension: [128]; tensor type: STATIC),,,,"/model.6/m/m.1/cv1/conv/Conv_output_0 encoding : bitwidth 16, min -10.480288505554, max 14.931347846985, scale 0.000387756707, offset -27028.000000000000"
,,,,,,,bias_op_name: model.6.m.1.cv1.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[0, 0], [0, 0]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [1, 1]"
,,,,,,,param count: 16k (0.229%)
,,,,,,,MACs per inference: 26M (0.319%)
64,/model.6/m/m.1/cv1/act/Sigmoid,Neuron,"/model.6/m/m.1/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)","/model.6/m/m.1/cv1/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"/model.6/m/m.1/cv1/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
65,/model.6/m/m.1/cv1/act/Mul,Eltwise_Binary,"/model.6/m/m.1/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)","/model.6/m/m.1/cv1/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"/model.6/m/m.1/cv1/act/Mul_output_0 encoding : bitwidth 16, min -0.278501331806, max 14.931152343750, scale 0.000232084451, offset -1200.000000000000"
,,,"/model.6/m/m.1/cv1/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
66,/model.6/m/m.1/cv2/conv/Conv,Conv2d,"/model.6/m/m.1/cv1/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)","/model.6/m/m.1/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"model.6.m.1.cv2.conv.weight encoding : bitwidth 8, min -0.645956516266, max 0.539071679115, scale 0.004647169262, offset -139.000000000000"
,,,"model.6.m.1.cv2.conv.weight (data type: uFxp_8; tensor dimension: [3, 3, 128, 128]; tensor type: STATIC)",,,,"model.6.m.1.cv2.conv.bias encoding : bitwidth 32, min -1.705662012100, max 1.705662012100, scale 0.000000000794, offset 0.000000000000"
,,,model.6.m.1.cv2.conv.bias (data type: sFxp_32; tensor dimension: [128]; tensor type: STATIC),,,,"/model.6/m/m.1/cv2/conv/Conv_output_0 encoding : bitwidth 16, min -8.382202148438, max 7.573637008667, scale 0.000243470495, offset -34428.000000000000"
,,,,,,,bias_op_name: model.6.m.1.cv2.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[1, 1], [1, 1]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [1, 1]"
,,,,,,,param count: 147k (2.04%)
,,,,,,,MACs per inference: 235M (2.87%)
67,/model.6/m/m.1/cv2/act/Sigmoid,Neuron,"/model.6/m/m.1/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)","/model.6/m/m.1/cv2/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"/model.6/m/m.1/cv2/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
68,/model.6/m/m.1/cv2/act/Mul,Eltwise_Binary,"/model.6/m/m.1/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)","/model.6/m/m.1/cv2/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"/model.6/m/m.1/cv2/act/Mul_output_0 encoding : bitwidth 16, min -0.278431177139, max 7.569735050201, scale 0.000119755343, offset -2325.000000000000"
,,,"/model.6/m/m.1/cv2/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
69,/model.6/m/m.1/Add,Eltwise_Binary,"/model.6/m/m.0/Add_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)","/model.6/m/m.1/Add_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"/model.6/m/m.1/Add_output_0 encoding : bitwidth 16, min -0.835419178009, max 12.331775665283, scale 0.000200918512, offset -4158.000000000000"
,,,"/model.6/m/m.1/cv2/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseAdd
,,,,,,,packageName: qti.aisw
70,/model.6/m/m.2/cv1/conv/Conv,Conv2d,"/model.6/m/m.1/Add_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)","/model.6/m/m.2/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"model.6.m.2.cv1.conv.weight encoding : bitwidth 8, min -1.093924880028, max 0.927458047867, scale 0.007926992141, offset -138.000000000000"
,,,"model.6.m.2.cv1.conv.weight (data type: uFxp_8; tensor dimension: [1, 1, 128, 128]; tensor type: STATIC)",,,,"model.6.m.2.cv1.conv.bias encoding : bitwidth 32, min -2.577328681946, max 2.577328681946, scale 0.000000001200, offset 0.000000000000"
,,,model.6.m.2.cv1.conv.bias (data type: sFxp_32; tensor dimension: [128]; tensor type: STATIC),,,,"/model.6/m/m.2/cv1/conv/Conv_output_0 encoding : bitwidth 16, min -11.118112564087, max 9.622131347656, scale 0.000316475838, offset -35131.000000000000"
,,,,,,,bias_op_name: model.6.m.2.cv1.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[0, 0], [0, 0]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [1, 1]"
,,,,,,,param count: 16k (0.229%)
,,,,,,,MACs per inference: 26M (0.319%)
71,/model.6/m/m.2/cv1/act/Sigmoid,Neuron,"/model.6/m/m.2/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)","/model.6/m/m.2/cv1/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"/model.6/m/m.2/cv1/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
72,/model.6/m/m.2/cv1/act/Mul,Eltwise_Binary,"/model.6/m/m.2/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)","/model.6/m/m.2/cv1/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"/model.6/m/m.2/cv1/act/Mul_output_0 encoding : bitwidth 16, min -0.278410524130, max 9.621553421021, scale 0.000151063767, offset -1843.000000000000"
,,,"/model.6/m/m.2/cv1/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
73,/model.6/m/m.2/cv2/conv/Conv,Conv2d,"/model.6/m/m.2/cv1/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)","/model.6/m/m.2/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"model.6.m.2.cv2.conv.weight encoding : bitwidth 8, min -1.265535950661, max 1.072954297066, scale 0.009170549922, offset -138.000000000000"
,,,"model.6.m.2.cv2.conv.weight (data type: uFxp_8; tensor dimension: [3, 3, 128, 128]; tensor type: STATIC)",,,,"model.6.m.2.cv2.conv.bias encoding : bitwidth 32, min -3.210509061813, max 3.210509061813, scale 0.000000001495, offset 0.000000000000"
,,,model.6.m.2.cv2.conv.bias (data type: sFxp_32; tensor dimension: [128]; tensor type: STATIC),,,,"/model.6/m/m.2/cv2/conv/Conv_output_0 encoding : bitwidth 16, min -16.983777999878, max 12.756552696228, scale 0.000453808345, offset -37425.000000000000"
,,,,,,,bias_op_name: model.6.m.2.cv2.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[1, 1], [1, 1]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [1, 1]"
,,,,,,,param count: 147k (2.04%)
,,,,,,,MACs per inference: 235M (2.87%)
74,/model.6/m/m.2/cv2/act/Sigmoid,Neuron,"/model.6/m/m.2/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)","/model.6/m/m.2/cv2/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"/model.6/m/m.2/cv2/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
75,/model.6/m/m.2/cv2/act/Mul,Eltwise_Binary,"/model.6/m/m.2/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)","/model.6/m/m.2/cv2/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"/model.6/m/m.2/cv2/act/Mul_output_0 encoding : bitwidth 16, min -0.278462082148, max 12.756546974182, scale 0.000198901485, offset -1400.000000000000"
,,,"/model.6/m/m.2/cv2/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
76,/model.6/m/m.2/Add,Eltwise_Binary,"/model.6/m/m.1/Add_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)","/model.6/m/m.2/Add_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"/model.6/m/m.2/Add_output_0 encoding : bitwidth 16, min -1.113839268684, max 12.297047615051, scale 0.000204637021, offset -5443.000000000000"
,,,"/model.6/m/m.2/cv2/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseAdd
,,,,,,,packageName: qti.aisw
77,/model.6/cv2/conv/Conv,Conv2d,"/model.5/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 256]; tensor type: NATIVE)","/model.6/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"model.6.cv2.conv.weight encoding : bitwidth 8, min -1.415374517441, max 0.854565739632, scale 0.008901726454, offset -159.000000000000"
,,,"model.6.cv2.conv.weight (data type: uFxp_8; tensor dimension: [1, 1, 256, 128]; tensor type: STATIC)",,,,"model.6.cv2.conv.bias encoding : bitwidth 32, min -1.798043727875, max 1.798043727875, scale 0.000000000837, offset 0.000000000000"
,,,model.6.cv2.conv.bias (data type: sFxp_32; tensor dimension: [128]; tensor type: STATIC),,,,"/model.6/cv2/conv/Conv_output_0 encoding : bitwidth 16, min -14.057452201843, max 11.615693092346, scale 0.000391747075, offset -35884.000000000000"
,,,,,,,bias_op_name: model.6.cv2.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[0, 0], [0, 0]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [1, 1]"
,,,,,,,param count: 32k (0.455%)
,,,,,,,MACs per inference: 52M (0.638%)
78,/model.6/cv2/act/Sigmoid,Neuron,"/model.6/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)","/model.6/cv2/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"/model.6/cv2/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
79,/model.6/cv2/act/Mul,Eltwise_Binary,"/model.6/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)","/model.6/cv2/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"/model.6/cv2/act/Mul_output_0 encoding : bitwidth 16, min -0.278406918049, max 11.615592956543, scale 0.000181490817, offset -1534.000000000000"
,,,"/model.6/cv2/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
80,/model.6/Concat,Concat,"/model.6/m/m.2/Add_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)","/model.6/Concat_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 256]; tensor type: NATIVE)",1x40x40x256,A D G C,"/model.6/Concat_output_0 encoding : bitwidth 16, min -1.113839268684, max 12.297047615051, scale 0.000204637021, offset -5443.000000000000"
,,,"/model.6/cv2/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",,,,axis: 3
,,,,,,,packageName: qti.aisw
81,/model.6/cv3/conv/Conv,Conv2d,"/model.6/Concat_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 256]; tensor type: NATIVE)","/model.6/cv3/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 256]; tensor type: NATIVE)",1x40x40x256,A D G C,"model.6.cv3.conv.weight encoding : bitwidth 8, min -0.495371192694, max 0.652989268303, scale 0.004503374454, offset -110.000000000000"
,,,"model.6.cv3.conv.weight (data type: uFxp_8; tensor dimension: [1, 1, 256, 256]; tensor type: STATIC)",,,,"model.6.cv3.conv.bias encoding : bitwidth 32, min -1.787060737610, max 1.787060737610, scale 0.000000000832, offset 0.000000000000"
,,,model.6.cv3.conv.bias (data type: sFxp_32; tensor dimension: [256]; tensor type: STATIC),,,,"/model.6/cv3/conv/Conv_output_0 encoding : bitwidth 16, min -9.872404098511, max 9.188610076904, scale 0.000290852418, offset -33943.000000000000"
,,,,,,,bias_op_name: model.6.cv3.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[0, 0], [0, 0]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [1, 1]"
,,,,,,,param count: 65k (0.911%)
,,,,,,,MACs per inference: 104M (1.28%)
82,/model.6/cv3/act/Sigmoid,Neuron,"/model.6/cv3/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 256]; tensor type: NATIVE)","/model.6/cv3/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 256]; tensor type: NATIVE)",1x40x40x256,A D G C,"/model.6/cv3/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
83,/model.6/cv3/act/Mul,Eltwise_Binary,"/model.6/cv3/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 256]; tensor type: NATIVE)","/model.6/cv3/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 256]; tensor type: NATIVE)",1x40x40x256,A D G C,"/model.6/cv3/act/Mul_output_0 encoding : bitwidth 16, min -0.278489530087, max 9.187699317932, scale 0.000144444784, offset -1928.000000000000"
,,,"/model.6/cv3/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 256]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
84,/model.7/conv/Conv,Conv2d,"/model.6/cv3/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 256]; tensor type: NATIVE)","/model.7/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 512]; tensor type: NATIVE)",1x20x20x512,A D G C,"model.7.conv.weight encoding : bitwidth 8, min -0.260625928640, max 0.417533397675, scale 0.002659448422, offset -98.000000000000"
,,,"model.7.conv.weight (data type: uFxp_8; tensor dimension: [3, 3, 256, 512]; tensor type: STATIC)",,,,"model.7.conv.bias encoding : bitwidth 32, min -2.779919862747, max 2.779919862747, scale 0.000000001295, offset 0.000000000000"
,,,model.7.conv.bias (data type: sFxp_32; tensor dimension: [512]; tensor type: STATIC),,,,"/model.7/conv/Conv_output_0 encoding : bitwidth 16, min -10.081162452698, max 8.925424575806, scale 0.000290021941, offset -34760.000000000000"
,,,,,,,bias_op_name: model.7.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[1, 1], [1, 1]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [2, 2]"
,,,,,,,param count: 1M (16.3%)
,,,,,,,MACs per inference: 471M (5.74%)
85,/model.7/act/Sigmoid,Neuron,"/model.7/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 512]; tensor type: NATIVE)","/model.7/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 512]; tensor type: NATIVE)",1x20x20x512,A D G C,"/model.7/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
86,/model.7/act/Mul,Eltwise_Binary,"/model.7/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 512]; tensor type: NATIVE)","/model.7/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 512]; tensor type: NATIVE)",1x20x20x512,A D G C,"/model.7/act/Mul_output_0 encoding : bitwidth 16, min -0.278457075357, max 8.924106597900, scale 0.000140422126, offset -1983.000000000000"
,,,"/model.7/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 512]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
87,/model.8/cv1/conv/Conv,Conv2d,"/model.7/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 512]; tensor type: NATIVE)","/model.8/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)",1x20x20x256,A D G C,"model.8.cv1.conv.weight encoding : bitwidth 8, min -0.473426491022, max 0.532604813576, scale 0.003945220727, offset -120.000000000000"
,,,"model.8.cv1.conv.weight (data type: uFxp_8; tensor dimension: [1, 1, 512, 256]; tensor type: STATIC)",,,,"model.8.cv1.conv.bias encoding : bitwidth 32, min -2.305548667908, max 2.305548667908, scale 0.000000001074, offset 0.000000000000"
,,,model.8.cv1.conv.bias (data type: sFxp_32; tensor dimension: [256]; tensor type: STATIC),,,,"/model.8/cv1/conv/Conv_output_0 encoding : bitwidth 16, min -8.865388870239, max 8.266486167908, scale 0.000261415669, offset -33913.000000000000"
,,,,,,,bias_op_name: model.8.cv1.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[0, 0], [0, 0]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [1, 1]"
,,,,,,,param count: 131k (1.82%)
,,,,,,,MACs per inference: 52M (0.638%)
88,/model.8/cv1/act/Sigmoid,Neuron,"/model.8/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)","/model.8/cv1/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)",1x20x20x256,A D G C,"/model.8/cv1/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
89,/model.8/cv1/act/Mul,Eltwise_Binary,"/model.8/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)","/model.8/cv1/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)",1x20x20x256,A D G C,"/model.8/cv1/act/Mul_output_0 encoding : bitwidth 16, min -0.278436839581, max 8.264333724976, scale 0.000130354325, offset -2136.000000000000"
,,,"/model.8/cv1/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
90,/model.8/m/m.0/cv1/conv/Conv,Conv2d,"/model.8/cv1/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)","/model.8/m/m.0/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)",1x20x20x256,A D G C,"model.8.m.0.cv1.conv.weight encoding : bitwidth 8, min -3.390120267868, max 2.490700721741, scale 0.023062042892, offset -147.000000000000"
,,,"model.8.m.0.cv1.conv.weight (data type: uFxp_8; tensor dimension: [1, 1, 256, 256]; tensor type: STATIC)",,,,"model.8.m.0.cv1.conv.bias encoding : bitwidth 32, min -6.830086231232, max 6.830086231232, scale 0.000000003181, offset 0.000000000000"
,,,model.8.m.0.cv1.conv.bias (data type: sFxp_32; tensor dimension: [256]; tensor type: STATIC),,,,"/model.8/m/m.0/cv1/conv/Conv_output_0 encoding : bitwidth 16, min -14.173169136047, max 16.127563476562, scale 0.000462359516, offset -30654.000000000000"
,,,,,,,bias_op_name: model.8.m.0.cv1.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[0, 0], [0, 0]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [1, 1]"
,,,,,,,param count: 65k (0.911%)
,,,,,,,MACs per inference: 26M (0.319%)
91,/model.8/m/m.0/cv1/act/Sigmoid,Neuron,"/model.8/m/m.0/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)","/model.8/m/m.0/cv1/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)",1x20x20x256,A D G C,"/model.8/m/m.0/cv1/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
92,/model.8/m/m.0/cv1/act/Mul,Eltwise_Binary,"/model.8/m/m.0/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)","/model.8/m/m.0/cv1/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)",1x20x20x256,A D G C,"/model.8/m/m.0/cv1/act/Mul_output_0 encoding : bitwidth 16, min -0.278380572796, max 16.127798080444, scale 0.000250342244, offset -1112.000000000000"
,,,"/model.8/m/m.0/cv1/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
93,/model.8/m/m.0/cv2/conv/Conv,Conv2d,"/model.8/m/m.0/cv1/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)","/model.8/m/m.0/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)",1x20x20x256,A D G C,"model.8.m.0.cv2.conv.weight encoding : bitwidth 8, min -0.438855737448, max 0.456409960985, scale 0.003510845825, offset -125.000000000000"
,,,"model.8.m.0.cv2.conv.weight (data type: uFxp_8; tensor dimension: [3, 3, 256, 256]; tensor type: STATIC)",,,,"model.8.m.0.cv2.conv.bias encoding : bitwidth 32, min -3.063917636871, max 3.063917636871, scale 0.000000001427, offset 0.000000000000"
,,,model.8.m.0.cv2.conv.bias (data type: sFxp_32; tensor dimension: [256]; tensor type: STATIC),,,,"/model.8/m/m.0/cv2/conv/Conv_output_0 encoding : bitwidth 16, min -12.697086334229, max 15.468758583069, scale 0.000429783249, offset -29543.000000000000"
,,,,,,,bias_op_name: model.8.m.0.cv2.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[1, 1], [1, 1]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [1, 1]"
,,,,,,,param count: 590k (8.17%)
,,,,,,,MACs per inference: 235M (2.87%)
94,/model.8/m/m.0/cv2/act/Sigmoid,Neuron,"/model.8/m/m.0/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)","/model.8/m/m.0/cv2/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)",1x20x20x256,A D G C,"/model.8/m/m.0/cv2/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
95,/model.8/m/m.0/cv2/act/Mul,Eltwise_Binary,"/model.8/m/m.0/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)","/model.8/m/m.0/cv2/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)",1x20x20x256,A D G C,"/model.8/m/m.0/cv2/act/Mul_output_0 encoding : bitwidth 16, min -0.278495937586, max 15.468898773193, scale 0.000240289839, offset -1159.000000000000"
,,,"/model.8/m/m.0/cv2/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
96,/model.8/m/m.0/Add,Eltwise_Binary,"/model.8/cv1/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)","/model.8/m/m.0/Add_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)",1x20x20x256,A D G C,"/model.8/m/m.0/Add_output_0 encoding : bitwidth 16, min -0.556832909584, max 15.281728744507, scale 0.000241680958, offset -2304.000000000000"
,,,"/model.8/m/m.0/cv2/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseAdd
,,,,,,,packageName: qti.aisw
97,/model.8/cv2/conv/Conv,Conv2d,"/model.7/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 512]; tensor type: NATIVE)","/model.8/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)",1x20x20x256,A D G C,"model.8.cv2.conv.weight encoding : bitwidth 8, min -0.543772697449, max 0.592801392078, scale 0.004457153380, offset -122.000000000000"
,,,"model.8.cv2.conv.weight (data type: uFxp_8; tensor dimension: [1, 1, 512, 256]; tensor type: STATIC)",,,,"model.8.cv2.conv.bias encoding : bitwidth 32, min -1.480291366577, max 1.480291366577, scale 0.000000000689, offset 0.000000000000"
,,,model.8.cv2.conv.bias (data type: sFxp_32; tensor dimension: [256]; tensor type: STATIC),,,,"/model.8/cv2/conv/Conv_output_0 encoding : bitwidth 16, min -11.262500762939, max 12.344228744507, scale 0.000360215607, offset -31266.000000000000"
,,,,,,,bias_op_name: model.8.cv2.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[0, 0], [0, 0]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [1, 1]"
,,,,,,,param count: 131k (1.82%)
,,,,,,,MACs per inference: 52M (0.638%)
98,/model.8/cv2/act/Sigmoid,Neuron,"/model.8/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)","/model.8/cv2/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)",1x20x20x256,A D G C,"/model.8/cv2/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
99,/model.8/cv2/act/Mul,Eltwise_Binary,"/model.8/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)","/model.8/cv2/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)",1x20x20x256,A D G C,"/model.8/cv2/act/Mul_output_0 encoding : bitwidth 16, min -0.278516262770, max 12.344280242920, scale 0.000192611522, offset -1446.000000000000"
,,,"/model.8/cv2/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
100,/model.8/Concat,Concat,"/model.8/m/m.0/Add_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)","/model.8/Concat_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 512]; tensor type: NATIVE)",1x20x20x512,A D G C,"/model.8/Concat_output_0 encoding : bitwidth 16, min -0.556832909584, max 15.281728744507, scale 0.000241680958, offset -2304.000000000000"
,,,"/model.8/cv2/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)",,,,axis: 3
,,,,,,,packageName: qti.aisw
101,/model.8/cv3/conv/Conv,Conv2d,"/model.8/Concat_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 512]; tensor type: NATIVE)","/model.8/cv3/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 512]; tensor type: NATIVE)",1x20x20x512,A D G C,"model.8.cv3.conv.weight encoding : bitwidth 8, min -0.564996063709, max 0.677021145821, scale 0.004870655946, offset -116.000000000000"
,,,"model.8.cv3.conv.weight (data type: uFxp_8; tensor dimension: [1, 1, 512, 512]; tensor type: STATIC)",,,,"model.8.cv3.conv.bias encoding : bitwidth 32, min -1.565519332886, max 1.565519332886, scale 0.000000000729, offset 0.000000000000"
,,,model.8.cv3.conv.bias (data type: sFxp_32; tensor dimension: [512]; tensor type: STATIC),,,,"/model.8/cv3/conv/Conv_output_0 encoding : bitwidth 16, min -11.921709060669, max 11.346179962158, scale 0.000355045224, offset -33578.000000000000"
,,,,,,,bias_op_name: model.8.cv3.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[0, 0], [0, 0]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [1, 1]"
,,,,,,,param count: 262k (3.63%)
,,,,,,,MACs per inference: 104M (1.28%)
102,/model.8/cv3/act/Sigmoid,Neuron,"/model.8/cv3/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 512]; tensor type: NATIVE)","/model.8/cv3/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 512]; tensor type: NATIVE)",1x20x20x512,A D G C,"/model.8/cv3/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
103,/model.8/cv3/act/Mul,Eltwise_Binary,"/model.8/cv3/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 512]; tensor type: NATIVE)","/model.8/cv3/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 512]; tensor type: NATIVE)",1x20x20x512,A D G C,"/model.8/cv3/act/Mul_output_0 encoding : bitwidth 16, min -0.278487950563, max 11.346166610718, scale 0.000177380862, offset -1570.000000000000"
,,,"/model.8/cv3/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 512]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
104,/model.9/cv1/conv/Conv,Conv2d,"/model.8/cv3/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 512]; tensor type: NATIVE)","/model.9/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)",1x20x20x256,A D G C,"model.9.cv1.conv.weight encoding : bitwidth 8, min -0.561515927315, max 0.548457443714, scale 0.004352836870, offset -129.000000000000"
,,,"model.9.cv1.conv.weight (data type: uFxp_8; tensor dimension: [1, 1, 512, 256]; tensor type: STATIC)",,,,"model.9.cv1.conv.bias encoding : bitwidth 32, min -2.725049734116, max 2.725049734116, scale 0.000000001269, offset 0.000000000000"
,,,model.9.cv1.conv.bias (data type: sFxp_32; tensor dimension: [256]; tensor type: STATIC),,,,"/model.9/cv1/conv/Conv_output_0 encoding : bitwidth 16, min -9.067891120911, max 8.568679809570, scale 0.000269116834, offset -33695.000000000000"
,,,,,,,bias_op_name: model.9.cv1.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[0, 0], [0, 0]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [1, 1]"
,,,,,,,param count: 131k (1.82%)
,,,,,,,MACs per inference: 52M (0.638%)
105,/model.9/cv1/act/Sigmoid,Neuron,"/model.9/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)","/model.9/cv1/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)",1x20x20x256,A D G C,"/model.9/cv1/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
106,/model.9/cv1/act/Mul,Eltwise_Binary,"/model.9/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)","/model.9/cv1/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)",1x20x20x256,A D G C,"/model.9/cv1/act/Mul_output_0 encoding : bitwidth 16, min -0.278452873230, max 8.567115783691, scale 0.000134974733, offset -2063.000000000000"
,,,"/model.9/cv1/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
107,/model.9/m/MaxPool,Pool,"/model.9/cv1/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)","/model.9/m/MaxPool_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)",1x20x20x256,A D G C,"/model.9/m/MaxPool_output_0 encoding : bitwidth 16, min -0.278452873230, max 8.567115783691, scale 0.000134974733, offset -2063.000000000000"
,,,,,,,"filter_size: [5, 5]"
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[2, 2], [2, 2]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,pool_type: PoolMax2d
,,,,,,,"stride: [1, 1]"
108,/model.9/m_1/MaxPool,Pool,"/model.9/m/MaxPool_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)","/model.9/m_1/MaxPool_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)",1x20x20x256,A D G C,"/model.9/m_1/MaxPool_output_0 encoding : bitwidth 16, min -0.278452873230, max 8.567115783691, scale 0.000134974733, offset -2063.000000000000"
,,,,,,,"filter_size: [5, 5]"
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[2, 2], [2, 2]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,pool_type: PoolMax2d
,,,,,,,"stride: [1, 1]"
109,/model.9/m_2/MaxPool,Pool,"/model.9/m_1/MaxPool_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)","/model.9/m_2/MaxPool_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)",1x20x20x256,A D G C,"/model.9/m_2/MaxPool_output_0 encoding : bitwidth 16, min -0.278452873230, max 8.567115783691, scale 0.000134974733, offset -2063.000000000000"
,,,,,,,"filter_size: [5, 5]"
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[2, 2], [2, 2]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,pool_type: PoolMax2d
,,,,,,,"stride: [1, 1]"
110,/model.9/Concat,Concat,"/model.9/cv1/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)","/model.9/Concat_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 1024]; tensor type: NATIVE)",1x20x20x1024,A D G C,"/model.9/Concat_output_0 encoding : bitwidth 16, min -0.278452873230, max 8.567115783691, scale 0.000134974733, offset -2063.000000000000"
,,,"/model.9/m/MaxPool_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)",,,,axis: 3
,,,"/model.9/m_1/MaxPool_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)",,,,packageName: qti.aisw
,,,"/model.9/m_2/MaxPool_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)",,,,
111,/model.9/cv2/conv/Conv,Conv2d,"/model.9/Concat_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 1024]; tensor type: NATIVE)","/model.9/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 512]; tensor type: NATIVE)",1x20x20x512,A D G C,"model.9.cv2.conv.weight encoding : bitwidth 8, min -0.536085247993, max 0.575310945511, scale 0.004358416423, offset -123.000000000000"
,,,"model.9.cv2.conv.weight (data type: uFxp_8; tensor dimension: [1, 1, 1024, 512]; tensor type: STATIC)",,,,"model.9.cv2.conv.bias encoding : bitwidth 32, min -6.068809986115, max 6.068809986115, scale 0.000000002826, offset 0.000000000000"
,,,model.9.cv2.conv.bias (data type: sFxp_32; tensor dimension: [512]; tensor type: STATIC),,,,"/model.9/cv2/conv/Conv_output_0 encoding : bitwidth 16, min -9.024162292480, max 10.308903694153, scale 0.000295003672, offset -30590.000000000000"
,,,,,,,bias_op_name: model.9.cv2.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[0, 0], [0, 0]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [1, 1]"
,,,,,,,param count: 524k (7.26%)
,,,,,,,MACs per inference: 209M (2.55%)
112,/model.9/cv2/act/Sigmoid,Neuron,"/model.9/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 512]; tensor type: NATIVE)","/model.9/cv2/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 512]; tensor type: NATIVE)",1x20x20x512,A D G C,"/model.9/cv2/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
113,/model.9/cv2/act/Mul,Eltwise_Binary,"/model.9/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 512]; tensor type: NATIVE)","/model.9/cv2/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 512]; tensor type: NATIVE)",1x20x20x512,A D G C,"/model.9/cv2/act/Mul_output_0 encoding : bitwidth 16, min -0.278507143259, max 10.308479309082, scale 0.000161547068, offset -1724.000000000000"
,,,"/model.9/cv2/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 512]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
114,/model.10/conv/Conv,Conv2d,"/model.9/cv2/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 512]; tensor type: NATIVE)","/model.10/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)",1x20x20x256,A D G C,"model.10.conv.weight encoding : bitwidth 8, min -1.641803860664, max 1.391964077950, scale 0.011897129007, offset -138.000000000000"
,,,"model.10.conv.weight (data type: uFxp_8; tensor dimension: [1, 1, 512, 256]; tensor type: STATIC)",,,,"model.10.conv.bias encoding : bitwidth 32, min -4.094081878662, max 4.094081878662, scale 0.000000001906, offset 0.000000000000"
,,,model.10.conv.bias (data type: sFxp_32; tensor dimension: [256]; tensor type: STATIC),,,,"/model.10/conv/Conv_output_0 encoding : bitwidth 16, min -9.930821418762, max 9.623784065247, scale 0.000298384140, offset -33282.000000000000"
,,,,,,,bias_op_name: model.10.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[0, 0], [0, 0]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [1, 1]"
,,,,,,,param count: 131k (1.82%)
,,,,,,,MACs per inference: 52M (0.638%)
115,/model.10/act/Sigmoid,Neuron,"/model.10/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)","/model.10/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)",1x20x20x256,A D G C,"/model.10/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
116,/model.10/act/Mul,Eltwise_Binary,"/model.10/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)","/model.10/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)",1x20x20x256,A D G C,"/model.10/act/Mul_output_0 encoding : bitwidth 16, min -0.278458654881, max 9.623216629028, scale 0.000151089887, offset -1843.000000000000"
,,,"/model.10/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
117,/model.11/Resize,Resize,"/model.10/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)","/model.11/Resize_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 256]; tensor type: NATIVE)",1x40x40x256,A D G C,"/model.11/Resize_output_0 encoding : bitwidth 16, min -0.278458654881, max 9.623216629028, scale 0.000151089887, offset -1843.000000000000"
,,,,,,,align_corners: False
,,,,,,,half_pixel_centers: False
,,,,,,,interpolation_mode: 0
,,,,,,,packageName: qti.aisw
,,,,,,,scale_height: 2
,,,,,,,scale_width: 2
,,,,,,,transformation_mode: 3
118,/model.12/Concat,Concat,"/model.11/Resize_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 256]; tensor type: NATIVE)","/model.12/Concat_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 512]; tensor type: NATIVE)",1x40x40x512,A D G C,"/model.12/Concat_output_0 encoding : bitwidth 16, min -0.278489530087, max 9.623216629028, scale 0.000151090353, offset -1843.000000000000"
,,,"/model.6/cv3/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 256]; tensor type: NATIVE)",,,,axis: 3
,,,,,,,packageName: qti.aisw
119,/model.13/cv1/conv/Conv,Conv2d,"/model.12/Concat_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 512]; tensor type: NATIVE)","/model.13/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"model.13.cv1.conv.weight encoding : bitwidth 8, min -0.919384360313, max 0.612922906876, scale 0.006009048317, offset -153.000000000000"
,,,"model.13.cv1.conv.weight (data type: uFxp_8; tensor dimension: [1, 1, 512, 128]; tensor type: STATIC)",,,,"model.13.cv1.conv.bias encoding : bitwidth 32, min -2.564177513123, max 2.564177513123, scale 0.000000001194, offset 0.000000000000"
,,,model.13.cv1.conv.bias (data type: sFxp_32; tensor dimension: [128]; tensor type: STATIC),,,,"/model.13/cv1/conv/Conv_output_0 encoding : bitwidth 16, min -8.372464179993, max 6.402273654938, scale 0.000225448050, offset -37137.000000000000"
,,,,,,,bias_op_name: model.13.cv1.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[0, 0], [0, 0]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [1, 1]"
,,,,,,,param count: 65k (0.909%)
,,,,,,,MACs per inference: 104M (1.28%)
120,/model.13/cv1/act/Sigmoid,Neuron,"/model.13/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)","/model.13/cv1/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"/model.13/cv1/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
121,/model.13/cv1/act/Mul,Eltwise_Binary,"/model.13/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)","/model.13/cv1/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"/model.13/cv1/act/Mul_output_0 encoding : bitwidth 16, min -0.278474420309, max 6.391781330109, scale 0.000101781581, offset -2736.000000000000"
,,,"/model.13/cv1/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
122,/model.13/m/m.0/cv1/conv/Conv,Conv2d,"/model.13/cv1/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)","/model.13/m/m.0/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"model.13.m.0.cv1.conv.weight encoding : bitwidth 8, min -1.729861855507, max 1.230640053749, scale 0.011609811336, offset -149.000000000000"
,,,"model.13.m.0.cv1.conv.weight (data type: uFxp_8; tensor dimension: [1, 1, 128, 128]; tensor type: STATIC)",,,,"model.13.m.0.cv1.conv.bias encoding : bitwidth 32, min -3.035499095917, max 3.035499095917, scale 0.000000001414, offset 0.000000000000"
,,,model.13.m.0.cv1.conv.bias (data type: sFxp_32; tensor dimension: [128]; tensor type: STATIC),,,,"/model.13/m/m.0/cv1/conv/Conv_output_0 encoding : bitwidth 16, min -9.530196189880, max 9.179329872131, scale 0.000285489077, offset -33382.000000000000"
,,,,,,,bias_op_name: model.13.m.0.cv1.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[0, 0], [0, 0]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [1, 1]"
,,,,,,,param count: 16k (0.229%)
,,,,,,,MACs per inference: 26M (0.319%)
123,/model.13/m/m.0/cv1/act/Sigmoid,Neuron,"/model.13/m/m.0/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)","/model.13/m/m.0/cv1/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"/model.13/m/m.0/cv1/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
124,/model.13/m/m.0/cv1/act/Mul,Eltwise_Binary,"/model.13/m/m.0/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)","/model.13/m/m.0/cv1/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"/model.13/m/m.0/cv1/act/Mul_output_0 encoding : bitwidth 16, min -0.278505504131, max 9.178416252136, scale 0.000144303383, offset -1930.000000000000"
,,,"/model.13/m/m.0/cv1/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
125,/model.13/m/m.0/cv2/conv/Conv,Conv2d,"/model.13/m/m.0/cv1/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)","/model.13/m/m.0/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"model.13.m.0.cv2.conv.weight encoding : bitwidth 8, min -0.930533289909, max 0.590530693531, scale 0.005964956712, offset -156.000000000000"
,,,"model.13.m.0.cv2.conv.weight (data type: uFxp_8; tensor dimension: [3, 3, 128, 128]; tensor type: STATIC)",,,,"model.13.m.0.cv2.conv.bias encoding : bitwidth 32, min -2.699791431427, max 2.699791431427, scale 0.000000001257, offset 0.000000000000"
,,,model.13.m.0.cv2.conv.bias (data type: sFxp_32; tensor dimension: [128]; tensor type: STATIC),,,,"/model.13/m/m.0/cv2/conv/Conv_output_0 encoding : bitwidth 16, min -9.671155929565, max 8.629286766052, scale 0.000279246859, offset -34633.000000000000"
,,,,,,,bias_op_name: model.13.m.0.cv2.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[1, 1], [1, 1]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [1, 1]"
,,,,,,,param count: 147k (2.04%)
,,,,,,,MACs per inference: 235M (2.87%)
126,/model.13/m/m.0/cv2/act/Sigmoid,Neuron,"/model.13/m/m.0/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)","/model.13/m/m.0/cv2/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"/model.13/m/m.0/cv2/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
127,/model.13/m/m.0/cv2/act/Mul,Eltwise_Binary,"/model.13/m/m.0/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)","/model.13/m/m.0/cv2/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"/model.13/m/m.0/cv2/act/Mul_output_0 encoding : bitwidth 16, min -0.278457611799, max 8.627700805664, scale 0.000135899274, offset -2049.000000000000"
,,,"/model.13/m/m.0/cv2/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
128,/model.13/cv2/conv/Conv,Conv2d,"/model.12/Concat_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 512]; tensor type: NATIVE)","/model.13/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"model.13.cv2.conv.weight encoding : bitwidth 8, min -0.739760279655, max 0.446647703648, scale 0.004652580246, offset -159.000000000000"
,,,"model.13.cv2.conv.weight (data type: uFxp_8; tensor dimension: [1, 1, 512, 128]; tensor type: STATIC)",,,,"model.13.cv2.conv.bias encoding : bitwidth 32, min -1.689719557762, max 1.689719557762, scale 0.000000000787, offset 0.000000000000"
,,,model.13.cv2.conv.bias (data type: sFxp_32; tensor dimension: [128]; tensor type: STATIC),,,,"/model.13/cv2/conv/Conv_output_0 encoding : bitwidth 16, min -9.035383224487, max 7.479756832123, scale 0.000252004887, offset -35854.000000000000"
,,,,,,,bias_op_name: model.13.cv2.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[0, 0], [0, 0]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [1, 1]"
,,,,,,,param count: 65k (0.909%)
,,,,,,,MACs per inference: 104M (1.28%)
129,/model.13/cv2/act/Sigmoid,Neuron,"/model.13/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)","/model.13/cv2/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"/model.13/cv2/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
130,/model.13/cv2/act/Mul,Eltwise_Binary,"/model.13/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)","/model.13/cv2/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"/model.13/cv2/act/Mul_output_0 encoding : bitwidth 16, min -0.278407067060, max 7.475697040558, scale 0.000118320044, offset -2353.000000000000"
,,,"/model.13/cv2/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
131,/model.13/Concat,Concat,"/model.13/m/m.0/cv2/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)","/model.13/Concat_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 256]; tensor type: NATIVE)",1x40x40x256,A D G C,"/model.13/Concat_output_0 encoding : bitwidth 16, min -0.278457611799, max 8.627700805664, scale 0.000135899274, offset -2049.000000000000"
,,,"/model.13/cv2/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",,,,axis: 3
,,,,,,,packageName: qti.aisw
132,/model.13/cv3/conv/Conv,Conv2d,"/model.13/Concat_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 256]; tensor type: NATIVE)","/model.13/cv3/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 256]; tensor type: NATIVE)",1x40x40x256,A D G C,"model.13.cv3.conv.weight encoding : bitwidth 8, min -1.190755844116, max 1.238386154175, scale 0.009526046924, offset -125.000000000000"
,,,"model.13.cv3.conv.weight (data type: uFxp_8; tensor dimension: [1, 1, 256, 256]; tensor type: STATIC)",,,,"model.13.cv3.conv.bias encoding : bitwidth 32, min -2.110710144043, max 2.110710144043, scale 0.000000000983, offset 0.000000000000"
,,,model.13.cv3.conv.bias (data type: sFxp_32; tensor dimension: [256]; tensor type: STATIC),,,,"/model.13/cv3/conv/Conv_output_0 encoding : bitwidth 16, min -11.309079170227, max 10.950066566467, scale 0.000339652790, offset -33296.000000000000"
,,,,,,,bias_op_name: model.13.cv3.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[0, 0], [0, 0]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [1, 1]"
,,,,,,,param count: 65k (0.911%)
,,,,,,,MACs per inference: 104M (1.28%)
133,/model.13/cv3/act/Sigmoid,Neuron,"/model.13/cv3/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 256]; tensor type: NATIVE)","/model.13/cv3/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 256]; tensor type: NATIVE)",1x40x40x256,A D G C,"/model.13/cv3/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
134,/model.13/cv3/act/Mul,Eltwise_Binary,"/model.13/cv3/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 256]; tensor type: NATIVE)","/model.13/cv3/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 256]; tensor type: NATIVE)",1x40x40x256,A D G C,"/model.13/cv3/act/Mul_output_0 encoding : bitwidth 16, min -0.278416544199, max 10.949908256531, scale 0.000171333260, offset -1625.000000000000"
,,,"/model.13/cv3/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 256]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
135,/model.14/conv/Conv,Conv2d,"/model.13/cv3/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 256]; tensor type: NATIVE)","/model.14/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"model.14.conv.weight encoding : bitwidth 8, min -0.655613541603, max 0.640366733074, scale 0.005082275718, offset -129.000000000000"
,,,"model.14.conv.weight (data type: uFxp_8; tensor dimension: [1, 1, 256, 128]; tensor type: STATIC)",,,,"model.14.conv.bias encoding : bitwidth 32, min -1.909503817558, max 1.909503817558, scale 0.000000000889, offset 0.000000000000"
,,,model.14.conv.bias (data type: sFxp_32; tensor dimension: [128]; tensor type: STATIC),,,,"/model.14/conv/Conv_output_0 encoding : bitwidth 16, min -8.513513565063, max 8.122335433960, scale 0.000253846782, offset -33538.000000000000"
,,,,,,,bias_op_name: model.14.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[0, 0], [0, 0]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [1, 1]"
,,,,,,,param count: 32k (0.455%)
,,,,,,,MACs per inference: 52M (0.638%)
136,/model.14/act/Sigmoid,Neuron,"/model.14/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)","/model.14/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"/model.14/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
137,/model.14/act/Mul,Eltwise_Binary,"/model.14/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)","/model.14/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"/model.14/act/Mul_output_0 encoding : bitwidth 16, min -0.278471291065, max 8.119879722595, scale 0.000128150627, offset -2173.000000000000"
,,,"/model.14/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
138,/model.15/Resize,Resize,"/model.14/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)","/model.15/Resize_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 128]; tensor type: NATIVE)",1x80x80x128,A D G C,"/model.15/Resize_output_0 encoding : bitwidth 16, min -0.278471291065, max 8.119879722595, scale 0.000128150627, offset -2173.000000000000"
,,,,,,,align_corners: False
,,,,,,,half_pixel_centers: False
,,,,,,,interpolation_mode: 0
,,,,,,,packageName: qti.aisw
,,,,,,,scale_height: 2
,,,,,,,scale_width: 2
,,,,,,,transformation_mode: 3
139,/model.16/Concat,Concat,"/model.15/Resize_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 128]; tensor type: NATIVE)","/model.16/Concat_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 256]; tensor type: NATIVE)",1x80x80x256,A D G C,"/model.16/Concat_output_0 encoding : bitwidth 16, min -0.278503715992, max 8.450210571289, scale 0.000133191643, offset -2091.000000000000"
,,,"/model.4/cv3/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 128]; tensor type: NATIVE)",,,,axis: 3
,,,,,,,packageName: qti.aisw
140,/model.17/cv1/conv/Conv,Conv2d,"/model.16/Concat_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 256]; tensor type: NATIVE)","/model.17/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)",1x80x80x64,A D G C,"model.17.cv1.conv.weight encoding : bitwidth 8, min -0.694504261017, max 0.769120454788, scale 0.005739704706, offset -121.000000000000"
,,,"model.17.cv1.conv.weight (data type: uFxp_8; tensor dimension: [1, 1, 256, 64]; tensor type: STATIC)",,,,"model.17.cv1.conv.bias encoding : bitwidth 32, min -1.675090909004, max 1.675090909004, scale 0.000000000780, offset 0.000000000000"
,,,model.17.cv1.conv.bias (data type: sFxp_32; tensor dimension: [64]; tensor type: STATIC),,,,"/model.17/cv1/conv/Conv_output_0 encoding : bitwidth 16, min -7.517957687378, max 3.560684204102, scale 0.000169049235, offset -44472.000000000000"
,,,,,,,bias_op_name: model.17.cv1.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[0, 0], [0, 0]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [1, 1]"
,,,,,,,param count: 16k (0.228%)
,,,,,,,MACs per inference: 104M (1.28%)
141,/model.17/cv1/act/Sigmoid,Neuron,"/model.17/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)","/model.17/cv1/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)",1x80x80x64,A D G C,"/model.17/cv1/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
142,/model.17/cv1/act/Mul,Eltwise_Binary,"/model.17/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)","/model.17/cv1/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)",1x80x80x64,A D G C,"/model.17/cv1/act/Mul_output_0 encoding : bitwidth 16, min -0.278487890959, max 3.462177038193, scale 0.000057078891, offset -4879.000000000000"
,,,"/model.17/cv1/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
143,/model.17/m/m.0/cv1/conv/Conv,Conv2d,"/model.17/cv1/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)","/model.17/m/m.0/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)",1x80x80x64,A D G C,"model.17.m.0.cv1.conv.weight encoding : bitwidth 8, min -2.548283815384, max 1.487817883492, scale 0.015827849507, offset -161.000000000000"
,,,"model.17.m.0.cv1.conv.weight (data type: uFxp_8; tensor dimension: [1, 1, 64, 64]; tensor type: STATIC)",,,,"model.17.m.0.cv1.conv.bias encoding : bitwidth 32, min -3.132049083710, max 3.132049083710, scale 0.000000001458, offset 0.000000000000"
,,,model.17.m.0.cv1.conv.bias (data type: sFxp_32; tensor dimension: [64]; tensor type: STATIC),,,,"/model.17/m/m.0/cv1/conv/Conv_output_0 encoding : bitwidth 16, min -7.177335739136, max 6.109108448029, scale 0.000202738142, offset -35402.000000000000"
,,,,,,,bias_op_name: model.17.m.0.cv1.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[0, 0], [0, 0]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [1, 1]"
,,,,,,,param count: 4k (0.0576%)
,,,,,,,MACs per inference: 26M (0.319%)
144,/model.17/m/m.0/cv1/act/Sigmoid,Neuron,"/model.17/m/m.0/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)","/model.17/m/m.0/cv1/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)",1x80x80x64,A D G C,"/model.17/m/m.0/cv1/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
145,/model.17/m/m.0/cv1/act/Mul,Eltwise_Binary,"/model.17/m/m.0/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)","/model.17/m/m.0/cv1/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)",1x80x80x64,A D G C,"/model.17/m/m.0/cv1/act/Mul_output_0 encoding : bitwidth 16, min -0.278457969427, max 6.095535278320, scale 0.000097260905, offset -2863.000000000000"
,,,"/model.17/m/m.0/cv1/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
146,/model.17/m/m.0/cv2/conv/Conv,Conv2d,"/model.17/m/m.0/cv1/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)","/model.17/m/m.0/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)",1x80x80x64,A D G C,"model.17.m.0.cv2.conv.weight encoding : bitwidth 8, min -1.583908319473, max 1.301067590714, scale 0.011313631199, offset -140.000000000000"
,,,"model.17.m.0.cv2.conv.weight (data type: uFxp_8; tensor dimension: [3, 3, 64, 64]; tensor type: STATIC)",,,,"model.17.m.0.cv2.conv.bias encoding : bitwidth 32, min -3.532960891724, max 3.532960891724, scale 0.000000001645, offset 0.000000000000"
,,,model.17.m.0.cv2.conv.bias (data type: sFxp_32; tensor dimension: [64]; tensor type: STATIC),,,,"/model.17/m/m.0/cv2/conv/Conv_output_0 encoding : bitwidth 16, min -28.571466445923, max 19.004087448120, scale 0.000725956401, offset -39357.000000000000"
,,,,,,,bias_op_name: model.17.m.0.cv2.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[1, 1], [1, 1]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [1, 1]"
,,,,,,,param count: 36k (0.511%)
,,,,,,,MACs per inference: 235M (2.87%)
147,/model.17/m/m.0/cv2/act/Sigmoid,Neuron,"/model.17/m/m.0/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)","/model.17/m/m.0/cv2/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)",1x80x80x64,A D G C,"/model.17/m/m.0/cv2/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
148,/model.17/m/m.0/cv2/act/Mul,Eltwise_Binary,"/model.17/m/m.0/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)","/model.17/m/m.0/cv2/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)",1x80x80x64,A D G C,"/model.17/m/m.0/cv2/act/Mul_output_0 encoding : bitwidth 16, min -0.278341144323, max 19.003992080688, scale 0.000294229540, offset -946.000000000000"
,,,"/model.17/m/m.0/cv2/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
149,/model.17/cv2/conv/Conv,Conv2d,"/model.16/Concat_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 256]; tensor type: NATIVE)","/model.17/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)",1x80x80x64,A D G C,"model.17.cv2.conv.weight encoding : bitwidth 8, min -1.464563965797, max 1.386304736137, scale 0.011179877445, offset -131.000000000000"
,,,"model.17.cv2.conv.weight (data type: uFxp_8; tensor dimension: [1, 1, 256, 64]; tensor type: STATIC)",,,,"model.17.cv2.conv.bias encoding : bitwidth 32, min -2.074291944504, max 2.074291944504, scale 0.000000000966, offset 0.000000000000"
,,,model.17.cv2.conv.bias (data type: sFxp_32; tensor dimension: [64]; tensor type: STATIC),,,,"/model.17/cv2/conv/Conv_output_0 encoding : bitwidth 16, min -12.674915313721, max 7.769855022430, scale 0.000311967218, offset -40629.000000000000"
,,,,,,,bias_op_name: model.17.cv2.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[0, 0], [0, 0]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [1, 1]"
,,,,,,,param count: 16k (0.228%)
,,,,,,,MACs per inference: 104M (1.28%)
150,/model.17/cv2/act/Sigmoid,Neuron,"/model.17/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)","/model.17/cv2/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)",1x80x80x64,A D G C,"/model.17/cv2/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
151,/model.17/cv2/act/Mul,Eltwise_Binary,"/model.17/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)","/model.17/cv2/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)",1x80x80x64,A D G C,"/model.17/cv2/act/Mul_output_0 encoding : bitwidth 16, min -0.278421491385, max 7.766706943512, scale 0.000122760801, offset -2268.000000000000"
,,,"/model.17/cv2/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
152,/model.17/Concat,Concat,"/model.17/m/m.0/cv2/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)","/model.17/Concat_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 128]; tensor type: NATIVE)",1x80x80x128,A D G C,"/model.17/Concat_output_0 encoding : bitwidth 16, min -0.278421491385, max 19.003992080688, scale 0.000294230762, offset -946.000000000000"
,,,"/model.17/cv2/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 64]; tensor type: NATIVE)",,,,axis: 3
,,,,,,,packageName: qti.aisw
153,/model.17/cv3/conv/Conv,Conv2d,"/model.17/Concat_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 128]; tensor type: NATIVE)","/model.17/cv3/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 128]; tensor type: NATIVE)",1x80x80x128,A D G C,"model.17.cv3.conv.weight encoding : bitwidth 8, min -3.034088134766, max 3.360064506531, scale 0.025075107813, offset -121.000000000000"
,,,"model.17.cv3.conv.weight (data type: uFxp_8; tensor dimension: [1, 1, 128, 128]; tensor type: STATIC)",,,,"model.17.cv3.conv.bias encoding : bitwidth 32, min -23.540845870972, max 23.540845870972, scale 0.000000010962, offset 0.000000000000"
,,,model.17.cv3.conv.bias (data type: sFxp_32; tensor dimension: [128]; tensor type: STATIC),,,,"/model.17/cv3/conv/Conv_output_0 encoding : bitwidth 16, min -31.225601196289, max 30.250944137573, scale 0.000938071928, offset -33287.000000000000"
,,,,,,,bias_op_name: model.17.cv3.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[0, 0], [0, 0]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [1, 1]"
,,,,,,,param count: 16k (0.229%)
,,,,,,,MACs per inference: 104M (1.28%)
154,/model.17/cv3/act/Sigmoid,Neuron,"/model.17/cv3/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 128]; tensor type: NATIVE)","/model.17/cv3/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 128]; tensor type: NATIVE)",1x80x80x128,A D G C,"/model.17/cv3/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
155,/model.17/cv3/act/Mul,Eltwise_Binary,"/model.17/cv3/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 128]; tensor type: NATIVE)","/model.17/cv3/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 128]; tensor type: NATIVE)",1x80x80x128,A D G C,"/model.17/cv3/act/Mul_output_0 encoding : bitwidth 16, min -0.278577655554, max 30.250833511353, scale 0.000465848949, offset -598.000000000000"
,,,"/model.17/cv3/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 128]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
156,/model.18/conv/Conv,Conv2d,"/model.17/cv3/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 128]; tensor type: NATIVE)","/model.18/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"model.18.conv.weight encoding : bitwidth 8, min -0.216575950384, max 0.239844426513, scale 0.001789883827, offset -121.000000000000"
,,,"model.18.conv.weight (data type: uFxp_8; tensor dimension: [3, 3, 128, 128]; tensor type: STATIC)",,,,"model.18.conv.bias encoding : bitwidth 32, min -1.885105609894, max 1.885105609894, scale 0.000000000878, offset 0.000000000000"
,,,model.18.conv.bias (data type: sFxp_32; tensor dimension: [128]; tensor type: STATIC),,,,"/model.18/conv/Conv_output_0 encoding : bitwidth 16, min -10.292552947998, max 9.418223381042, scale 0.000300767162, offset -34221.000000000000"
,,,,,,,bias_op_name: model.18.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[1, 1], [1, 1]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [2, 2]"
,,,,,,,param count: 147k (2.04%)
,,,,,,,MACs per inference: 235M (2.87%)
157,/model.18/act/Sigmoid,Neuron,"/model.18/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)","/model.18/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"/model.18/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
158,/model.18/act/Mul,Eltwise_Binary,"/model.18/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)","/model.18/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"/model.18/act/Mul_output_0 encoding : bitwidth 16, min -0.278441607952, max 9.417451858521, scale 0.000147949846, offset -1882.000000000000"
,,,"/model.18/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
159,/model.19/Concat,Concat,"/model.18/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)","/model.19/Concat_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 256]; tensor type: NATIVE)",1x40x40x256,A D G C,"/model.19/Concat_output_0 encoding : bitwidth 16, min -0.278471291065, max 9.417451858521, scale 0.000147950297, offset -1882.000000000000"
,,,"/model.14/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",,,,axis: 3
,,,,,,,packageName: qti.aisw
160,/model.20/cv1/conv/Conv,Conv2d,"/model.19/Concat_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 256]; tensor type: NATIVE)","/model.20/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"model.20.cv1.conv.weight encoding : bitwidth 8, min -1.073780179024, max 0.984971284866, scale 0.008073534817, offset -133.000000000000"
,,,"model.20.cv1.conv.weight (data type: uFxp_8; tensor dimension: [1, 1, 256, 128]; tensor type: STATIC)",,,,"model.20.cv1.conv.bias encoding : bitwidth 32, min -2.347510337830, max 2.347510337830, scale 0.000000001093, offset 0.000000000000"
,,,model.20.cv1.conv.bias (data type: sFxp_32; tensor dimension: [128]; tensor type: STATIC),,,,"/model.20/cv1/conv/Conv_output_0 encoding : bitwidth 16, min -10.538084983826, max 9.367759704590, scale 0.000303743727, offset -34694.000000000000"
,,,,,,,bias_op_name: model.20.cv1.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[0, 0], [0, 0]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [1, 1]"
,,,,,,,param count: 32k (0.455%)
,,,,,,,MACs per inference: 52M (0.638%)
161,/model.20/cv1/act/Sigmoid,Neuron,"/model.20/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)","/model.20/cv1/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"/model.20/cv1/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
162,/model.20/cv1/act/Mul,Eltwise_Binary,"/model.20/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)","/model.20/cv1/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"/model.20/cv1/act/Mul_output_0 encoding : bitwidth 16, min -0.278467267752, max 9.367067337036, scale 0.000147181432, offset -1892.000000000000"
,,,"/model.20/cv1/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
163,/model.20/m/m.0/cv1/conv/Conv,Conv2d,"/model.20/cv1/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)","/model.20/m/m.0/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"model.20.m.0.cv1.conv.weight encoding : bitwidth 8, min -1.074177265167, max 0.814893126488, scale 0.007408119272, offset -145.000000000000"
,,,"model.20.m.0.cv1.conv.weight (data type: uFxp_8; tensor dimension: [1, 1, 128, 128]; tensor type: STATIC)",,,,"model.20.m.0.cv1.conv.bias encoding : bitwidth 32, min -1.833884835243, max 1.833884835243, scale 0.000000000854, offset 0.000000000000"
,,,model.20.m.0.cv1.conv.bias (data type: sFxp_32; tensor dimension: [128]; tensor type: STATIC),,,,"/model.20/m/m.0/cv1/conv/Conv_output_0 encoding : bitwidth 16, min -9.823308944702, max 8.277420043945, scale 0.000276199426, offset -35566.000000000000"
,,,,,,,bias_op_name: model.20.m.0.cv1.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[0, 0], [0, 0]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [1, 1]"
,,,,,,,param count: 16k (0.229%)
,,,,,,,MACs per inference: 26M (0.319%)
164,/model.20/m/m.0/cv1/act/Sigmoid,Neuron,"/model.20/m/m.0/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)","/model.20/m/m.0/cv1/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"/model.20/m/m.0/cv1/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
165,/model.20/m/m.0/cv1/act/Mul,Eltwise_Binary,"/model.20/m/m.0/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)","/model.20/m/m.0/cv1/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"/model.20/m/m.0/cv1/act/Mul_output_0 encoding : bitwidth 16, min -0.278406590223, max 8.275449752808, scale 0.000130523476, offset -2133.000000000000"
,,,"/model.20/m/m.0/cv1/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
166,/model.20/m/m.0/cv2/conv/Conv,Conv2d,"/model.20/m/m.0/cv1/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)","/model.20/m/m.0/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"model.20.m.0.cv2.conv.weight encoding : bitwidth 8, min -1.163091063499, max 1.190783619881, scale 0.009230880998, offset -126.000000000000"
,,,"model.20.m.0.cv2.conv.weight (data type: uFxp_8; tensor dimension: [3, 3, 128, 128]; tensor type: STATIC)",,,,"model.20.m.0.cv2.conv.bias encoding : bitwidth 32, min -2.663993597031, max 2.663993597031, scale 0.000000001241, offset 0.000000000000"
,,,model.20.m.0.cv2.conv.bias (data type: sFxp_32; tensor dimension: [128]; tensor type: STATIC),,,,"/model.20/m/m.0/cv2/conv/Conv_output_0 encoding : bitwidth 16, min -20.922229766846, max 10.961742401123, scale 0.000486518227, offset -43004.000000000000"
,,,,,,,bias_op_name: model.20.m.0.cv2.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[1, 1], [1, 1]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [1, 1]"
,,,,,,,param count: 147k (2.04%)
,,,,,,,MACs per inference: 235M (2.87%)
167,/model.20/m/m.0/cv2/act/Sigmoid,Neuron,"/model.20/m/m.0/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)","/model.20/m/m.0/cv2/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"/model.20/m/m.0/cv2/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
168,/model.20/m/m.0/cv2/act/Mul,Eltwise_Binary,"/model.20/m/m.0/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)","/model.20/m/m.0/cv2/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"/model.20/m/m.0/cv2/act/Mul_output_0 encoding : bitwidth 16, min -0.278537154198, max 10.961568832397, scale 0.000171513020, offset -1624.000000000000"
,,,"/model.20/m/m.0/cv2/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
169,/model.20/cv2/conv/Conv,Conv2d,"/model.19/Concat_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 256]; tensor type: NATIVE)","/model.20/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"model.20.cv2.conv.weight encoding : bitwidth 8, min -1.762340426445, max 0.640851080418, scale 0.009424280375, offset -187.000000000000"
,,,"model.20.cv2.conv.weight (data type: uFxp_8; tensor dimension: [1, 1, 256, 128]; tensor type: STATIC)",,,,"model.20.cv2.conv.bias encoding : bitwidth 32, min -1.739673137665, max 1.739673137665, scale 0.000000000810, offset 0.000000000000"
,,,model.20.cv2.conv.bias (data type: sFxp_32; tensor dimension: [128]; tensor type: STATIC),,,,"/model.20/cv2/conv/Conv_output_0 encoding : bitwidth 16, min -9.817776679993, max 8.702357292175, scale 0.000282599125, offset -34741.000000000000"
,,,,,,,bias_op_name: model.20.cv2.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[0, 0], [0, 0]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [1, 1]"
,,,,,,,param count: 32k (0.455%)
,,,,,,,MACs per inference: 52M (0.638%)
170,/model.20/cv2/act/Sigmoid,Neuron,"/model.20/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)","/model.20/cv2/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"/model.20/cv2/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
171,/model.20/cv2/act/Mul,Eltwise_Binary,"/model.20/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)","/model.20/cv2/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",1x40x40x128,A D G C,"/model.20/cv2/act/Mul_output_0 encoding : bitwidth 16, min -0.278419017792, max 8.701005935669, scale 0.000137017239, offset -2032.000000000000"
,,,"/model.20/cv2/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
172,/model.20/Concat,Concat,"/model.20/m/m.0/cv2/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)","/model.20/Concat_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 256]; tensor type: NATIVE)",1x40x40x256,A D G C,"/model.20/Concat_output_0 encoding : bitwidth 16, min -0.278537154198, max 10.961568832397, scale 0.000171513020, offset -1624.000000000000"
,,,"/model.20/cv2/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 128]; tensor type: NATIVE)",,,,axis: 3
,,,,,,,packageName: qti.aisw
173,/model.20/cv3/conv/Conv,Conv2d,"/model.20/Concat_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 256]; tensor type: NATIVE)","/model.20/cv3/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 256]; tensor type: NATIVE)",1x40x40x256,A D G C,"model.20.cv3.conv.weight encoding : bitwidth 8, min -2.630712985992, max 2.490140438080, scale 0.020081778988, offset -131.000000000000"
,,,"model.20.cv3.conv.weight (data type: uFxp_8; tensor dimension: [1, 1, 256, 256]; tensor type: STATIC)",,,,"model.20.cv3.conv.bias encoding : bitwidth 32, min -5.921085834503, max 5.921085834503, scale 0.000000002757, offset 0.000000000000"
,,,model.20.cv3.conv.bias (data type: sFxp_32; tensor dimension: [256]; tensor type: STATIC),,,,"/model.20/cv3/conv/Conv_output_0 encoding : bitwidth 16, min -26.561758041382, max 36.257614135742, scale 0.000958562188, offset -27710.000000000000"
,,,,,,,bias_op_name: model.20.cv3.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[0, 0], [0, 0]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [1, 1]"
,,,,,,,param count: 65k (0.911%)
,,,,,,,MACs per inference: 104M (1.28%)
174,/model.20/cv3/act/Sigmoid,Neuron,"/model.20/cv3/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 256]; tensor type: NATIVE)","/model.20/cv3/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 256]; tensor type: NATIVE)",1x40x40x256,A D G C,"/model.20/cv3/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
175,/model.20/cv3/act/Mul,Eltwise_Binary,"/model.20/cv3/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 256]; tensor type: NATIVE)","/model.20/cv3/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 256]; tensor type: NATIVE)",1x40x40x256,A D G C,"/model.20/cv3/act/Mul_output_0 encoding : bitwidth 16, min -0.278196603060, max 36.258102416992, scale 0.000557508203, offset -499.000000000000"
,,,"/model.20/cv3/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 256]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
176,/model.21/conv/Conv,Conv2d,"/model.20/cv3/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 256]; tensor type: NATIVE)","/model.21/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)",1x20x20x256,A D G C,"model.21.conv.weight encoding : bitwidth 8, min -0.244086831808, max 0.316653192043, scale 0.002198980423, offset -111.000000000000"
,,,"model.21.conv.weight (data type: uFxp_8; tensor dimension: [3, 3, 256, 256]; tensor type: STATIC)",,,,"model.21.conv.bias encoding : bitwidth 32, min -1.798731207848, max 1.798731207848, scale 0.000000000838, offset 0.000000000000"
,,,model.21.conv.bias (data type: sFxp_32; tensor dimension: [256]; tensor type: STATIC),,,,"/model.21/conv/Conv_output_0 encoding : bitwidth 16, min -10.394695281982, max 11.755801200867, scale 0.000337994919, offset -30754.000000000000"
,,,,,,,bias_op_name: model.21.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[1, 1], [1, 1]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [2, 2]"
,,,,,,,param count: 590k (8.17%)
,,,,,,,MACs per inference: 235M (2.87%)
177,/model.21/act/Sigmoid,Neuron,"/model.21/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)","/model.21/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)",1x20x20x256,A D G C,"/model.21/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
178,/model.21/act/Mul,Eltwise_Binary,"/model.21/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)","/model.21/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)",1x20x20x256,A D G C,"/model.21/act/Mul_output_0 encoding : bitwidth 16, min -0.278380751610, max 11.755710601807, scale 0.000183628465, offset -1516.000000000000"
,,,"/model.21/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
179,/model.22/Concat,Concat,"/model.21/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)","/model.22/Concat_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 512]; tensor type: NATIVE)",1x20x20x512,A D G C,"/model.22/Concat_output_0 encoding : bitwidth 16, min -0.278458654881, max 11.755710601807, scale 0.000183629658, offset -1516.000000000000"
,,,"/model.10/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)",,,,axis: 3
,,,,,,,packageName: qti.aisw
180,/model.23/cv1/conv/Conv,Conv2d,"/model.22/Concat_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 512]; tensor type: NATIVE)","/model.23/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)",1x20x20x256,A D G C,"model.23.cv1.conv.weight encoding : bitwidth 8, min -1.523377776146, max 1.066364526749, scale 0.010155851953, offset -150.000000000000"
,,,"model.23.cv1.conv.weight (data type: uFxp_8; tensor dimension: [1, 1, 512, 256]; tensor type: STATIC)",,,,"model.23.cv1.conv.bias encoding : bitwidth 32, min -1.084763884544, max 1.084763884544, scale 0.000000000505, offset 0.000000000000"
,,,model.23.cv1.conv.bias (data type: sFxp_32; tensor dimension: [256]; tensor type: STATIC),,,,"/model.23/cv1/conv/Conv_output_0 encoding : bitwidth 16, min -11.839887619019, max 10.881256103516, scale 0.000346702436, offset -34150.000000000000"
,,,,,,,bias_op_name: model.23.cv1.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[0, 0], [0, 0]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [1, 1]"
,,,,,,,param count: 131k (1.82%)
,,,,,,,MACs per inference: 52M (0.638%)
181,/model.23/cv1/act/Sigmoid,Neuron,"/model.23/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)","/model.23/cv1/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)",1x20x20x256,A D G C,"/model.23/cv1/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
182,/model.23/cv1/act/Mul,Eltwise_Binary,"/model.23/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)","/model.23/cv1/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)",1x20x20x256,A D G C,"/model.23/cv1/act/Mul_output_0 encoding : bitwidth 16, min -0.278414577246, max 10.881155967712, scale 0.000170284140, offset -1635.000000000000"
,,,"/model.23/cv1/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
183,/model.23/m/m.0/cv1/conv/Conv,Conv2d,"/model.23/cv1/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)","/model.23/m/m.0/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)",1x20x20x256,A D G C,"model.23.m.0.cv1.conv.weight encoding : bitwidth 8, min -1.685556530952, max 0.872877478600, scale 0.010033074766, offset -168.000000000000"
,,,"model.23.m.0.cv1.conv.weight (data type: uFxp_8; tensor dimension: [1, 1, 256, 256]; tensor type: STATIC)",,,,"model.23.m.0.cv1.conv.bias encoding : bitwidth 32, min -1.529487609863, max 1.529487609863, scale 0.000000000712, offset 0.000000000000"
,,,model.23.m.0.cv1.conv.bias (data type: sFxp_32; tensor dimension: [256]; tensor type: STATIC),,,,"/model.23/m/m.0/cv1/conv/Conv_output_0 encoding : bitwidth 16, min -15.406967163086, max 10.727252960205, scale 0.000398782635, offset -38635.000000000000"
,,,,,,,bias_op_name: model.23.m.0.cv1.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[0, 0], [0, 0]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [1, 1]"
,,,,,,,param count: 65k (0.911%)
,,,,,,,MACs per inference: 26M (0.319%)
184,/model.23/m/m.0/cv1/act/Sigmoid,Neuron,"/model.23/m/m.0/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)","/model.23/m/m.0/cv1/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)",1x20x20x256,A D G C,"/model.23/m/m.0/cv1/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
185,/model.23/m/m.0/cv1/act/Mul,Eltwise_Binary,"/model.23/m/m.0/cv1/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)","/model.23/m/m.0/cv1/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)",1x20x20x256,A D G C,"/model.23/m/m.0/cv1/act/Mul_output_0 encoding : bitwidth 16, min -0.278437763453, max 10.727243423462, scale 0.000167935927, offset -1658.000000000000"
,,,"/model.23/m/m.0/cv1/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
186,/model.23/m/m.0/cv2/conv/Conv,Conv2d,"/model.23/m/m.0/cv1/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)","/model.23/m/m.0/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)",1x20x20x256,A D G C,"model.23.m.0.cv2.conv.weight encoding : bitwidth 8, min -0.849559187889, max 0.743364274502, scale 0.006246758625, offset -136.000000000000"
,,,"model.23.m.0.cv2.conv.weight (data type: uFxp_8; tensor dimension: [3, 3, 256, 256]; tensor type: STATIC)",,,,"model.23.m.0.cv2.conv.bias encoding : bitwidth 32, min -1.477485418320, max 1.477485418320, scale 0.000000000688, offset 0.000000000000"
,,,model.23.m.0.cv2.conv.bias (data type: sFxp_32; tensor dimension: [256]; tensor type: STATIC),,,,"/model.23/m/m.0/cv2/conv/Conv_output_0 encoding : bitwidth 16, min -21.841964721680, max 14.506770133972, scale 0.000554646133, offset -39380.000000000000"
,,,,,,,bias_op_name: model.23.m.0.cv2.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[1, 1], [1, 1]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [1, 1]"
,,,,,,,param count: 590k (8.17%)
,,,,,,,MACs per inference: 235M (2.87%)
187,/model.23/m/m.0/cv2/act/Sigmoid,Neuron,"/model.23/m/m.0/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)","/model.23/m/m.0/cv2/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)",1x20x20x256,A D G C,"/model.23/m/m.0/cv2/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
188,/model.23/m/m.0/cv2/act/Mul,Eltwise_Binary,"/model.23/m/m.0/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)","/model.23/m/m.0/cv2/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)",1x20x20x256,A D G C,"/model.23/m/m.0/cv2/act/Mul_output_0 encoding : bitwidth 16, min -0.278402566910, max 14.506939888000, scale 0.000225609867, offset -1234.000000000000"
,,,"/model.23/m/m.0/cv2/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
189,/model.23/cv2/conv/Conv,Conv2d,"/model.22/Concat_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 512]; tensor type: NATIVE)","/model.23/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)",1x20x20x256,A D G C,"model.23.cv2.conv.weight encoding : bitwidth 8, min -0.951136946678, max 0.634091317654, scale 0.006216581445, offset -153.000000000000"
,,,"model.23.cv2.conv.weight (data type: uFxp_8; tensor dimension: [1, 1, 512, 256]; tensor type: STATIC)",,,,"model.23.cv2.conv.bias encoding : bitwidth 32, min -1.122701168060, max 1.122701168060, scale 0.000000000523, offset 0.000000000000"
,,,model.23.cv2.conv.bias (data type: sFxp_32; tensor dimension: [256]; tensor type: STATIC),,,,"/model.23/cv2/conv/Conv_output_0 encoding : bitwidth 16, min -10.043057441711, max 9.229344367981, scale 0.000294077996, offset -34151.000000000000"
,,,,,,,bias_op_name: model.23.cv2.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[0, 0], [0, 0]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [1, 1]"
,,,,,,,param count: 131k (1.82%)
,,,,,,,MACs per inference: 52M (0.638%)
190,/model.23/cv2/act/Sigmoid,Neuron,"/model.23/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)","/model.23/cv2/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)",1x20x20x256,A D G C,"/model.23/cv2/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
191,/model.23/cv2/act/Mul,Eltwise_Binary,"/model.23/cv2/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)","/model.23/cv2/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)",1x20x20x256,A D G C,"/model.23/cv2/act/Mul_output_0 encoding : bitwidth 16, min -0.278523623943, max 9.228270530701, scale 0.000145064376, offset -1920.000000000000"
,,,"/model.23/cv2/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
192,/model.23/Concat,Concat,"/model.23/m/m.0/cv2/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)","/model.23/Concat_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 512]; tensor type: NATIVE)",1x20x20x512,A D G C,"/model.23/Concat_output_0 encoding : bitwidth 16, min -0.278523623943, max 14.506939888000, scale 0.000225611715, offset -1235.000000000000"
,,,"/model.23/cv2/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 256]; tensor type: NATIVE)",,,,axis: 3
,,,,,,,packageName: qti.aisw
193,/model.23/cv3/conv/Conv,Conv2d,"/model.23/Concat_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 512]; tensor type: NATIVE)","/model.23/cv3/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 512]; tensor type: NATIVE)",1x20x20x512,A D G C,"model.23.cv3.conv.weight encoding : bitwidth 8, min -1.523797392845, max 1.119524598122, scale 0.010365968570, offset -147.000000000000"
,,,"model.23.cv3.conv.weight (data type: uFxp_8; tensor dimension: [1, 1, 512, 512]; tensor type: STATIC)",,,,"model.23.cv3.conv.bias encoding : bitwidth 32, min -3.408988952637, max 3.408988952637, scale 0.000000001587, offset 0.000000000000"
,,,model.23.cv3.conv.bias (data type: sFxp_32; tensor dimension: [512]; tensor type: STATIC),,,,"/model.23/cv3/conv/Conv_output_0 encoding : bitwidth 16, min -34.956707000732, max 26.461196899414, scale 0.000937177159, offset -37300.000000000000"
,,,,,,,bias_op_name: model.23.cv3.conv.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[0, 0], [0, 0]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [1, 1]"
,,,,,,,param count: 262k (3.63%)
,,,,,,,MACs per inference: 104M (1.28%)
194,/model.23/cv3/act/Sigmoid,Neuron,"/model.23/cv3/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 512]; tensor type: NATIVE)","/model.23/cv3/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 512]; tensor type: NATIVE)",1x20x20x512,A D G C,"/model.23/cv3/act/Sigmoid_output_0 encoding : bitwidth 16, min 0.000000000000, max 0.999984741211, scale 0.000015258789, offset 0.000000000000"
,,,,,,,neuron_type: Sigmoid
,,,,,,,packageName: qti.aisw
195,/model.23/cv3/act/Mul,Eltwise_Binary,"/model.23/cv3/conv/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 512]; tensor type: NATIVE)","/model.23/cv3/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 512]; tensor type: NATIVE)",1x20x20x512,A D G C,"/model.23/cv3/act/Mul_output_0 encoding : bitwidth 16, min -0.278268188238, max 26.461183547974, scale 0.000408017891, offset -682.000000000000"
,,,"/model.23/cv3/act/Sigmoid_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 512]; tensor type: NATIVE)",,,,eltwise_type: ElementWiseMultiply
,,,,,,,packageName: qti.aisw
196,/model.24/m.0/Conv,Conv2d,"/model.17/cv3/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 128]; tensor type: NATIVE)","/model.24/m.0/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 80, 80, 255]; tensor type: APP_READ)",1x80x80x255,A D G C,"model.24.m.0.weight encoding : bitwidth 8, min -0.530882358551, max 0.526734828949, scale 0.004147518426, offset -128.000000000000"
,,,"model.24.m.0.weight (data type: uFxp_8; tensor dimension: [1, 1, 128, 255]; tensor type: STATIC)",,,,"model.24.m.0.bias encoding : bitwidth 32, min -6.835937500000, max 6.835937500000, scale 0.000000003183, offset 0.000000000000"
,,,model.24.m.0.bias (data type: sFxp_32; tensor dimension: [255]; tensor type: STATIC),,,,"/model.24/m.0/Conv_output_0 encoding : bitwidth 16, min -21.826158523560, max 8.486151695251, scale 0.000462536234, offset -47188.000000000000"
,,,,,,,bias_op_name: model.24.m.0.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[0, 0], [0, 0]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [1, 1]"
,,,,,,,param count: 32k (0.455%)
,,,,,,,MACs per inference: 208M (2.54%)
197,/model.24/m.1/Conv,Conv2d,"/model.20/cv3/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 256]; tensor type: NATIVE)","/model.24/m.1/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 40, 40, 255]; tensor type: APP_READ)",1x40x40x255,A D G C,"model.24.m.1.weight encoding : bitwidth 8, min -0.545375704765, max 0.492466121912, scale 0.004069968127, offset -134.000000000000"
,,,"model.24.m.1.weight (data type: uFxp_8; tensor dimension: [1, 1, 256, 255]; tensor type: STATIC)",,,,"model.24.m.1.bias encoding : bitwidth 32, min -7.421875000000, max 7.421875000000, scale 0.000000003456, offset 0.000000000000"
,,,model.24.m.1.bias (data type: sFxp_32; tensor dimension: [255]; tensor type: STATIC),,,,"/model.24/m.1/Conv_output_0 encoding : bitwidth 16, min -17.565193176270, max 8.593992233276, scale 0.000399163604, offset -44005.000000000000"
,,,,,,,bias_op_name: model.24.m.1.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[0, 0], [0, 0]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [1, 1]"
,,,,,,,param count: 65k (0.907%)
,,,,,,,MACs per inference: 104M (1.27%)
198,/model.24/m.2/Conv,Conv2d,"/model.23/cv3/act/Mul_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 512]; tensor type: NATIVE)","/model.24/m.2/Conv_output_0 (data type: uFxp_16; tensor dimension: [1, 20, 20, 255]; tensor type: APP_READ)",1x20x20x255,A D G C,"model.24.m.2.weight encoding : bitwidth 8, min -0.374947339296, max 0.389945238829, scale 0.002999578835, offset -125.000000000000"
,,,"model.24.m.2.weight (data type: uFxp_8; tensor dimension: [1, 1, 512, 255]; tensor type: STATIC)",,,,"model.24.m.2.bias encoding : bitwidth 32, min -8.132812500000, max 8.132812500000, scale 0.000000003787, offset 0.000000000000"
,,,model.24.m.2.bias (data type: sFxp_32; tensor dimension: [255]; tensor type: STATIC),,,,"/model.24/m.2/Conv_output_0 encoding : bitwidth 16, min -15.496051788330, max 7.670080661774, scale 0.000353492505, offset -43837.000000000000"
,,,,,,,bias_op_name: model.24.m.2.bias
,,,,,,,"dilation: [1, 1]"
,,,,,,,group: 1
,,,,,,,packageName: qti.aisw
,,,,,,,"pad_amount: [[0, 0], [0, 0]]"
,,,,,,,padding_size_strategy: 5
,,,,,,,"stride: [1, 1]"
,,,,,,,param count: 130k (1.81%)
,,,,,,,MACs per inference: 52M (0.636%)
Note: The supported runtimes column assumes a processor target of Snapdragon 855
Key : A:AIP
      D:DSP
      G:GPU
      C:CPU
""
Input Name,Dimensions,Type,Encoding Info
images,"1,640,640,3",uFxp_16,"bitwidth 16, min 0.000000000000, max 1.000000000000, scale 0.000015259022, offset 0.000000000000"
Total parameters: 7225885 (27 MB assuming single precision float. This does not represent the actual memory requirement for the model. It provides a rough estimate of the contribution from the parameters 4xNo of Params in bytes)
Total MACs per inference: 8216M (100%)
"Converter command: snpe-onnx-to-dlc adjust_nms_features_dims=True align_matmul_ranks=True batch=None converter_op_package_lib= copyright_file=None custom_io= custom_op_config_paths=None debug=-1 define_symbol=None disable_batchnorm_folding=False dry_run=None dumpIR=False dump_custom_io_config_template= dump_inferred_model=False dump_value_info=False enable_match_gathernd=False enable_strict_validation=False expand_gru_op_structure=True expand_lstm_op_structure=False extract_color_transform=True float_bw=32 force_prune_cast_ops=False handle_gather_negative_indices=True inject_cast_for_gather=True input_dim=[['images', '1,3,640,640']] input_dtype=[] input_encoding=[] input_layout=[] input_type=[] keep_disconnected_nodes=False keep_int64_inputs=False keep_quant_nodes=False match_caffe_ssd_to_tf=True model_version=None no_simplification=False op_package_lib= out_names=['/model.24/m.0/Conv_output_0', '/model.24/m.1/Conv_output_0', '/model.24/m.2/Conv_output_0'] package_name=None perform_axes_to_spatial_first_order=True prepare_inputs_as_params=False preprocess_roi_pool_inputs=True preserve_io=[] quantization_overrides= squash_box_decoder=True unroll_gru_time_steps=True unroll_lstm_time_steps=True use_convert_quantization_nodes=False validation_target=[]"
Quantizer command: snpe-dlc-quant help=false version=false verbose=false quiet=false silent=false debug=[] debug1=false debug2=false debug3=false log-mask=[] log-file=[] log-dir=[] log-file-include-hostname=false input_dlc=[/data0/ai-transform-data/data/3622e363-c39a-4fd2-998c-1a54b793f782/yolov5s_save_path/cutoff_yolov5s.dlc] input_list=[/home/dlc_quan_temp/fQcdgBuukudRwzh/quant.txt] no_weight_quantization=false output_dlc=[/data0/ai-transform-data/data/3622e363-c39a-4fd2-998c-1a54b793f782/yolov5s_save_path/cutoff_yolov5s.dlc] use_enhanced_quantizer=false use_adjusted_weights_quantizer=false optimizations=[] override_params=false use_encoding_optimizations=false udo_package_path=[/home/model_convert_plantform/Aidlux_UDO216_SO/libUdoAidluxUdoPackageReg.so] use_symmetric_quantize_weights=false use_native_dtype=false use_native_input_files=false use_native_output_files=false float_fallback=false use_dynamic_16_bit_weights=false bitwidth=[] weights_bitwidth=[8] act_bitwidth=[16] float_bitwidth=[] bias_bitwidth=[32] float_bias_bitwidth=[] clip_alpha=[] axis_quant=false restrict_quantization_steps=[]
DLC created with converter version: 2.16.4.231110151339_60331
"Ops used by DLC: Concat, Conv2d, Eltwise_Binary, Neuron, Pool, Resize"
Est. Steady-State Memory Needed to Run: 379.8 MiB
""
Cache Info:
Cache Record Name,SNPE Version,Cache Version,Identifier,Information,Subnets
backend.metadata0,2.16.4,3.3.0.0,HTP_V75_SM8650_8MB,Record Size: 7.378 MB,Total Subnets: 1
,,,,Optimization Level: 2,subnet_0:
,,,,Contains Udo: False,  Start Op ID: 0
,,,,,  End Op ID: 198
,,,,,  Input Tensors:
,,,,,"    images [1, 640, 640, 3] (UFIXED_POINT_16)"
,,,,,  Output Tensors:
,,,,,"    /model.24/m.0/Conv_output_0 [1, 80, 80, 255] (UFIXED_POINT_16)"
,,,,,"    /model.24/m.1/Conv_output_0 [1, 40, 40, 255] (UFIXED_POINT_16)"
,,,,,"    /model.24/m.2/Conv_output_0 [1, 20, 20, 255] (UFIXED_POINT_16)"