PS E:\tidl_model_import> .\tidl_model_import.out.exe .\tidl_import_resnet11.txt Caffe Network File : .\nomeanfile_deploy(noscale).prototxt Caffe Model File : .\nomean_noscale_sparse_iter_300000.caffemodel TIDL Network File : .\tidl_net_resnet_jacintonet11v2.bin TIDL Model File : .\tidl_param_resnet_jacintonet11v2.bin Name of the Network : ResNet-11 Num Inputs : 1 Num of Layer Detected : 19 0, TIDL_DataLayer , data 0, -1 , 1 , x , x , x , x , x , x , x , x , 0 , 0 , 0 , 0 , 0 , 1 , 3 , 112 , 96 , 0 , 1, TIDL_BatchNormLayer , data/bias 1, 1 , 1 , 0 , x , x , x , x , x , x , x , 1 , 1 , 3 , 112 , 96 , 1 , 3 , 112 , 96 , 32256 , 2, TIDL_ConvolutionLayer , conv1 1, 1 , 1 , 1 , x , x , x , x , x , x , x , 2 , 1 , 3 , 112 , 96 , 1 , 128 , 56 , 48 , 9289728 , 3, TIDL_PoolingLayer , pool1 1, 1 , 1 , 2 , x , x , x , x , x , x , x , 3 , 1 , 128 , 56 , 48 , 1 , 128 , 28 , 24 , 774144 , 4, TIDL_ConvolutionLayer , res2a_branch1 1, 1 , 1 , 3 , x , x , x , x , x , x , x , 4 , 1 , 128 , 28 , 24 , 1 , 64 , 28 , 24 , 5505024 , 5, TIDL_ConvolutionLayer , res2a_branch2a 1, 1 , 1 , 3 , x , x , x , x , x , x , x , 5 , 1 , 128 , 28 , 24 , 1 , 64 , 28 , 24 , 49545216 , 6, TIDL_ConvolutionLayer , res2a_branch2b 1, 1 , 1 , 5 , x , x , x , x , x , x , x , 6 , 1 , 64 , 28 , 24 , 1 , 64 , 28 , 24 , 24772608 , 7, TIDL_EltWiseLayer , res2a 1, 2 , 1 , 4 , 6 , x , x , x , x , x , x , 7 , 1 , 64 , 28 , 24 , 1 , 64 , 28 , 24 , 43008 , 8, TIDL_ConvolutionLayer , res2b_branch2a 1, 1 , 1 , 7 , x , x , x , x , x , x , x , 8 , 1 , 64 , 28 , 24 , 1 , 64 , 28 , 24 , 24772608 , 9, TIDL_ConvolutionLayer , res2b_branch2b 1, 1 , 1 , 8 , x , x , x , x , x , x , x , 9 , 1 , 64 , 28 , 24 , 1 , 64 , 28 , 24 , 24772608 , 10, TIDL_EltWiseLayer , res2b 1, 2 , 1 , 7 , 9 , x , x , x , x , x , x , 10 , 1 , 64 , 28 , 24 , 1 , 64 , 28 , 24 , 43008 , 11, TIDL_ConvolutionLayer , res3a_branch1 1, 1 , 1 , 10 , x , x , x , x , x , x , x , 11 , 1 , 64 , 28 , 24 , 1 , 128 , 14 , 12 , 1376256 , 12, TIDL_ConvolutionLayer , res3a_branch2a 1, 1 , 1 , 10 , x , x , x , x , x , x , x , 12 , 1 , 64 , 28 , 24 , 1 , 128 , 14 , 12 , 12386304 , 13, TIDL_ConvolutionLayer , res3a_branch2b 1, 1 , 1 , 12 , x , x , x , x , x , x , x , 13 , 1 , 128 , 14 , 12 , 1 , 128 , 14 , 12 , 24772608 , 14, TIDL_EltWiseLayer , res3a 1, 2 , 1 , 11 , 13 , x , x , x , x , x , x , 14 , 1 , 128 , 14 , 12 , 1 , 128 , 14 , 12 , 21504 , 15, TIDL_ConvolutionLayer , res3b_branch2a 1, 1 , 1 , 14 , x , x , x , x , x , x , x , 15 , 1 , 128 , 14 , 12 , 1 , 128 , 14 , 12 , 24772608 , 16, TIDL_ConvolutionLayer , res3b_branch2b 1, 1 , 1 , 15 , x , x , x , x , x , x , x , 16 , 1 , 128 , 14 , 12 , 1 , 128 , 14 , 12 , 24772608 , 17, TIDL_EltWiseLayer , res3b 1, 2 , 1 , 14 , 16 , x , x , x , x , x , x , 17 , 1 , 128 , 14 , 12 , 1 , 128 , 14 , 12 , 21504 , 18, TIDL_InnerProductLayer , fc1 1, 1 , 1 , 17 , x , x , x , x , x , x , x , 18 , 1 , 128 , 14 , 12 , 1 , 1 , 1 , 512 , 11010048 , Total Giga Macs : 0.2387 已复制 1 个文件。 Processing config file .\tempDir\qunat_stats_config.txt ! 0, TIDL_DataLayer , 0, -1 , 1 , x , x , x , x , x , x , x , x , 0 , 0 , 0 , 0 , 0 , 1 , 3 , 112 , 96 , 1, TIDL_BatchNormLayer , 1, 1 , 1 , 0 , x , x , x , x , x , x , x , 1 , 1 , 3 , 112 , 96 , 1 , 3 , 112 , 96 , 2, TIDL_ConvolutionLayer , 1, 1 , 1 , 1 , x , x , x , x , x , x , x , 2 , 1 , 3 , 112 , 96 , 1 , 128 , 56 , 48 , 3, TIDL_PoolingLayer , 1, 1 , 1 , 2 , x , x , x , x , x , x , x , 3 , 1 , 128 , 56 , 48 , 1 , 128 , 28 , 24 , 4, TIDL_ConvolutionLayer , 1, 1 , 1 , 3 , x , x , x , x , x , x , x , 4 , 1 , 128 , 28 , 24 , 1 , 64 , 28 , 24 , 5, TIDL_ConvolutionLayer , 1, 1 , 1 , 3 , x , x , x , x , x , x , x , 5 , 1 , 128 , 28 , 24 , 1 , 64 , 28 , 24 , 6, TIDL_ConvolutionLayer , 1, 1 , 1 , 5 , x , x , x , x , x , x , x , 6 , 1 , 64 , 28 , 24 , 1 , 64 , 28 , 24 , 7, TIDL_EltWiseLayer , 1, 2 , 1 , 4 , 6 , x , x , x , x , x , x , 7 , 1 , 64 , 28 , 24 , 1 , 64 , 28 , 24 , 8, TIDL_ConvolutionLayer , 1, 1 , 1 , 7 , x , x , x , x , x , x , x , 8 , 1 , 64 , 28 , 24 , 1 , 64 , 28 , 24 , 9, TIDL_ConvolutionLayer , 1, 1 , 1 , 8 , x , x , x , x , x , x , x , 9 , 1 , 64 , 28 , 24 , 1 , 64 , 28 , 24 , 10, TIDL_EltWiseLayer , 1, 2 , 1 , 7 , 9 , x , x , x , x , x , x , 10 , 1 , 64 , 28 , 24 , 1 , 64 , 28 , 24 , 11, TIDL_ConvolutionLayer , 1, 1 , 1 , 10 , x , x , x , x , x , x , x , 11 , 1 , 64 , 28 , 24 , 1 , 128 , 14 , 12 , 12, TIDL_ConvolutionLayer , 1, 1 , 1 , 10 , x , x , x , x , x , x , x , 12 , 1 , 64 , 28 , 24 , 1 , 128 , 14 , 12 , 13, TIDL_ConvolutionLayer , 1, 1 , 1 , 12 , x , x , x , x , x , x , x , 13 , 1 , 128 , 14 , 12 , 1 , 128 , 14 , 12 , 14, TIDL_EltWiseLayer , 1, 2 , 1 , 11 , 13 , x , x , x , x , x , x , 14 , 1 , 128 , 14 , 12 , 1 , 128 , 14 , 12 , 15, TIDL_ConvolutionLayer , 1, 1 , 1 , 14 , x , x , x , x , x , x , x , 15 , 1 , 128 , 14 , 12 , 1 , 128 , 14 , 12 , 16, TIDL_ConvolutionLayer , 1, 1 , 1 , 15 , x , x , x , x , x , x , x , 16 , 1 , 128 , 14 , 12 , 1 , 128 , 14 , 12 , 17, TIDL_EltWiseLayer , 1, 2 , 1 , 14 , 16 , x , x , x , x , x , x , 17 , 1 , 128 , 14 , 12 , 1 , 128 , 14 , 12 , 18, TIDL_InnerProductLayer , 1, 1 , 1 , 17 , x , x , x , x , x , x , x , 18 , 1 , 128 , 14 , 12 , 1 , 1 , 1 , 512 , 19, TIDL_DataLayer , 0, 1 , -1 , 18 , x , x , x , x , x , x , x , 0 , 1 , 1 , 1 , 512 , 0 , 0 , 0 , 0 , Layer ID ,inBlkWidth ,inBlkHeight ,inBlkPitch ,outBlkWidth ,outBlkHeight,outBlkPitch ,numInChs ,numOutChs ,numProcInChs,numLclInChs ,numLclOutChs,numProcItrs ,numAccItrs ,numHorBlock ,numVerBlock ,inBlkChPitch,outBlkChPitc,alignOrNot 2 104 32 104 48 14 48 3 128 3 1 8 1 3 1 4 3328 672 1 4 32 28 32 32 28 32 128 64 128 8 8 1 16 1 1 896 896 1 5 40 30 40 32 28 32 128 64 128 7 8 1 19 1 1 1200 896 1 6 40 30 40 32 28 32 64 64 64 7 8 1 10 1 1 1200 896 1 8 40 30 40 32 28 32 64 64 64 7 8 1 10 1 1 1200 896 1 9 40 30 40 32 28 32 64 64 64 7 8 1 10 1 1 1200 896 1 11 32 28 32 16 14 16 64 128 64 8 8 1 8 1 1 896 224 1 12 40 32 40 16 14 16 64 128 64 6 8 1 11 1 1 1280 224 1 13 24 16 24 16 14 16 128 128 128 8 8 1 16 1 1 384 224 1 15 24 16 24 16 14 16 128 128 128 8 8 1 16 1 1 384 224 1 16 24 16 24 16 14 16 128 128 128 8 8 1 16 1 1 384 224 1 Processing Frame Number : 0 Layer 1 : Out Q : 280 , TIDL_BatchNormLayer , PASSED #MMACs = 0.03, 0.03, Sparsity : 0.00 Layer 2 : Out Q : 11217 , TIDL_ConvolutionLayer, PASSED #MMACs = 9.29, 9.66, Sparsity : -3.94 Layer 3 :TIDL_PoolingLayer, PASSED #MMACs = 0.09, 0.09, Sparsity : 0.00 Layer 4 : Out Q : 9079 , TIDL_ConvolutionLayer, PASSED #MMACs = 5.51, 5.45, Sparsity : 0.93 Layer 5 : Out Q : 24741 , TIDL_ConvolutionLayer, PASSED #MMACs = 49.55, 33.68, Sparsity : 32.03 Layer 6 : Out Q : 8177 , TIDL_ConvolutionLayer, PASSED #MMACs = 24.77, 21.39, Sparsity : 13.64 Layer 7 : Out Q : 4304 , TIDL_EltWiseLayer, PASSED #MMACs = 0.09, 0.09, Sparsity : 0.00 Layer 8 : Out Q : 1959 , TIDL_ConvolutionLayer, PASSED #MMACs = 24.77, 23.64, Sparsity : 4.56 Layer 9 : Out Q : 660 , TIDL_ConvolutionLayer, PASSED #MMACs = 24.77, 21.50, Sparsity : 13.22 Layer 10 : Out Q : 573 , TIDL_EltWiseLayer, PASSED #MMACs = 0.09, 0.09, Sparsity : 0.00 Layer 11 : Out Q : 181 , TIDL_ConvolutionLayer, PASSED #MMACs = 1.38, 1.38, Sparsity : 0.00 Layer 12 : Out Q : 384 , TIDL_ConvolutionLayer, PASSED #MMACs = 12.39, 5.63, Sparsity : 54.56 Layer 13 : Out Q : 145 , TIDL_ConvolutionLayer, PASSED #MMACs = 24.77, 4.28, Sparsity : 82.71 Layer 14 : Out Q : 81 , TIDL_EltWiseLayer, PASSED #MMACs = 0.04, 0.04, Sparsity : 0.00 Layer 15 : Out Q : 50 , TIDL_ConvolutionLayer, PASSED #MMACs = 24.77, 3.86, Sparsity : 84.43 Layer 16 : Out Q : 16 , TIDL_ConvolutionLayer, PASSED #MMACs = 24.77, 3.14, Sparsity : 87.31 Layer 17 : Out Q : 13 , TIDL_EltWiseLayer, PASSED #MMACs = 0.04, 0.04, Sparsity : 0.00 Layer 18 : PS E:\tidl_model_import>