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 , 32 , 56 , 48 , 3, TIDL_ConvolutionLayer , 1, 1 , 1 , 2 , x , x , x , x , x , x , x , 3 , 1 , 32 , 56 , 48 , 1 , 32 , 28 , 24 , 4, TIDL_ConvolutionLayer , 1, 1 , 1 , 3 , x , x , x , x , x , x , x , 4 , 1 , 32 , 28 , 24 , 1 , 64 , 28 , 24 , 5, TIDL_ConvolutionLayer , 1, 1 , 1 , 4 , x , x , x , x , x , x , x , 5 , 1 , 64 , 28 , 24 , 1 , 64 , 14 , 12 , 6, TIDL_ConvolutionLayer , 1, 1 , 1 , 5 , x , x , x , x , x , x , x , 6 , 1 , 64 , 14 , 12 , 1 , 128 , 14 , 12 , 7, TIDL_ConvolutionLayer , 1, 1 , 1 , 6 , x , x , x , x , x , x , x , 7 , 1 , 128 , 14 , 12 , 1 , 128 , 7 , 6 , 8, TIDL_ConvolutionLayer , 1, 1 , 1 , 7 , x , x , x , x , x , x , x , 8 , 1 , 128 , 7 , 6 , 1 , 256 , 7 , 6 , 9, TIDL_ConvolutionLayer , 1, 1 , 1 , 8 , x , x , x , x , x , x , x , 9 , 1 , 256 , 7 , 6 , 1 , 256 , 3 , 3 , 10, TIDL_ConvolutionLayer , 1, 1 , 1 , 9 , x , x , x , x , x , x , x , 10 , 1 , 256 , 3 , 3 , 1 , 512 , 3 , 3 , 11, TIDL_ConvolutionLayer , 1, 1 , 1 , 10 , x , x , x , x , x , x , x , 11 , 1 , 512 , 3 , 3 , 1 , 512 , 3 , 3 , 12, TIDL_PoolingLayer , 1, 1 , 1 , 11 , x , x , x , x , x , x , x , 12 , 1 , 512 , 3 , 3 , 1 , 1 , 1 , 512 , 13, TIDL_InnerProductLayer , 1, 1 , 1 , 12 , x , x , x , x , x , x , x , 13 , 1 , 1 , 1 , 512 , 1 , 1 , 1 , 512 , 14, TIDL_DataLayer , 0, 1 , -1 , 13 , 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 36 104 48 14 48 3 32 3 1 8 1 3 1 4 3744 672 1 3 56 16 56 48 14 48 8 8 8 4 8 1 2 1 4 896 672 1 4 40 30 40 32 28 32 32 64 32 7 8 1 5 1 1 1200 896 1 5 40 30 40 32 28 32 16 16 16 7 8 1 3 1 1 1200 896 1 6 24 16 24 16 14 16 64 128 64 8 8 1 8 1 1 384 224 1 7 24 16 24 16 14 16 32 32 32 8 8 1 4 1 1 384 224 1 8 24 9 24 16 7 16 128 256 128 8 8 1 16 1 1 216 112 1 9 24 8 24 16 6 16 64 64 64 8 8 1 8 1 1 192 96 1 10 24 5 24 16 3 16 256 512 256 8 8 1 32 1 1 120 48 1 11 24 5 24 16 3 16 128 128 128 8 8 1 16 1 1 120 48 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 : 44696 , TIDL_ConvolutionLayer, PASSED #MMACs = 6.45, 3.38, Sparsity : 47.67 Layer 3 : Out Q : 25963 , TIDL_ConvolutionLayer, PASSED #MMACs = 6.19, 2.12, Sparsity : 65.80 Layer 4 : Out Q : 57240 , TIDL_ConvolutionLayer, PASSED #MMACs = 12.39, 2.83, Sparsity : 77.15 Layer 5 : Out Q : 62339 , TIDL_ConvolutionLayer, PASSED #MMACs = 6.19, 2.03, Sparsity : 67.27 Layer 6 : Out Q : 75942 , TIDL_ConvolutionLayer, PASSED #MMACs = 12.39, 2.70, Sparsity : 78.16 Layer 7 : Out Q : 69657 , TIDL_ConvolutionLayer, PASSED #MMACs = 6.19, 1.59, Sparsity : 74.28 Layer 8 : Out Q : 84570 , TIDL_ConvolutionLayer, PASSED #MMACs = 12.39, 2.61, Sparsity : 78.94 Layer 9 : Out Q : 83507 , TIDL_ConvolutionLayer, PASSED #MMACs = 5.31, 1.18, Sparsity : 77.72 Layer 10 : Out Q : 34892 , TIDL_ConvolutionLayer, PASSED #MMACs = 10.62, 2.15, Sparsity : 79.76 Layer 11 : Out Q : 1515 , TIDL_ConvolutionLayer, PASSED #MMACs = 5.31, 0.84, Sparsity : 84.15 Layer 12 : Out Q : 2066 , TIDL_PoolingLayer, PASSED #MMACs = 0.00, 0.00, Sparsity : 0.00 Layer 13 : Out Q : 604 , TIDL_InnerProductLayer, PASSED #MMACs = 0.00, 0.00, Sparsity : 0.00 End of config list found ! Caffe Network File : .\deploy.prototxt Caffe Model File : .\sparse_iter_260000.caffemodel TIDL Network File : .\tidl_net_imagenet_jacintonet11v2.bin TIDL Model File : .\tidl_param_imagenet_jacintonet11v2.bin Name of the Network : jacintonet11v2_deploy Num Inputs : 1 Num of Layer Detected : 14 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 , conv1a 1, 1 , 1 , 1 , x , x , x , x , x , x , x , 2 , 1 , 3 , 112 , 96 , 1 , 32 , 56 , 48 , 6451200 , 3, TIDL_ConvolutionLayer , conv1b 1, 1 , 1 , 2 , x , x , x , x , x , x , x , 3 , 1 , 32 , 56 , 48 , 1 , 32 , 28 , 24 , 6193152 , 4, TIDL_ConvolutionLayer , res2a_branch2a 1, 1 , 1 , 3 , x , x , x , x , x , x , x , 4 , 1 , 32 , 28 , 24 , 1 , 64 , 28 , 24 , 12386304 , 5, TIDL_ConvolutionLayer , res2a_branch2b 1, 1 , 1 , 4 , x , x , x , x , x , x , x , 5 , 1 , 64 , 28 , 24 , 1 , 64 , 14 , 12 , 6193152 , 6, TIDL_ConvolutionLayer , res3a_branch2a 1, 1 , 1 , 5 , x , x , x , x , x , x , x , 6 , 1 , 64 , 14 , 12 , 1 , 128 , 14 , 12 , 12386304 , 7, TIDL_ConvolutionLayer , res3a_branch2b 1, 1 , 1 , 6 , x , x , x , x , x , x , x , 7 , 1 , 128 , 14 , 12 , 1 , 128 , 7 , 6 , 6193152 , 8, TIDL_ConvolutionLayer , res4a_branch2a 1, 1 , 1 , 7 , x , x , x , x , x , x , x , 8 , 1 , 128 , 7 , 6 , 1 , 256 , 7 , 6 , 12386304 , 9, TIDL_ConvolutionLayer , res4a_branch2b 1, 1 , 1 , 8 , x , x , x , x , x , x , x , 9 , 1 , 256 , 7 , 6 , 1 , 256 , 3 , 3 , 6193152 , 10, TIDL_ConvolutionLayer , res5a_branch2a 1, 1 , 1 , 9 , x , x , x , x , x , x , x , 10 , 1 , 256 , 3 , 3 , 1 , 512 , 3 , 3 , 10616832 , 11, TIDL_ConvolutionLayer , res5a_branch2b 1, 1 , 1 , 10 , x , x , x , x , x , x , x , 11 , 1 , 512 , 3 , 3 , 1 , 512 , 3 , 3 , 5308416 , 12, TIDL_PoolingLayer , pool5 1, 1 , 1 , 11 , x , x , x , x , x , x , x , 12 , 1 , 512 , 3 , 3 , 1 , 1 , 1 , 512 , 4608 , 13, TIDL_InnerProductLayer , fc512 1, 1 , 1 , 12 , x , x , x , x , x , x , x , 13 , 1 , 1 , 1 , 512 , 1 , 1 , 1 , 512 , 262144 , Total Giga Macs : 0.0846