TF Meta PipeLine (Proto) File : ../../test/testvecs/models/public/tensorflow/ssd_mobilenet_v2_pipeline.config [libprotobuf WARNING google/protobuf/text_format.cc:305] Warning parsing text-format object_detection.protos.TrainEvalPipelineConfig: 170:3: text format contains deprecated field "num_examples" [libprotobuf WARNING google/protobuf/text_format.cc:305] Warning parsing text-format object_detection.protos.TrainEvalPipelineConfig: 171:3: text format contains deprecated field "max_evals" num_classes : 90 y_scale : 10.000000 x_scale : 10.000000 w_scale : 5.000000 h_scale : 5.000000 num_keypoints : 5.000000 score_threshold : 0.300000 iou_threshold : 0.600000 max_detections_per_class : 100 max_total_detections : 100 scales, height_stride, width_stride, height_offset, width_offset 0.2000000, -1.0000000, -1.0000000, -1.0000000, -1.0000000 0.3500000, -1.0000000, -1.0000000, -1.0000000, -1.0000000 0.5000000, -1.0000000, -1.0000000, -1.0000000, -1.0000000 0.6500000, -1.0000000, -1.0000000, -1.0000000, -1.0000000 0.8000000, -1.0000000, -1.0000000, -1.0000000, -1.0000000 0.9500000, -1.0000000, -1.0000000, -1.0000000, -1.0000000 aspect_ratios 1.0000000 2.0000000 0.5000000 3.0000000 0.3333000 TF Model (Proto) File : ../../test/testvecs/models/public/tensorflow/ssd_mobilenet_v2/ssd_mobilenet_v2_final.pb TIDL Network File : ../../test/testvecs/config/tidl_models/tensorflow/tidl_ssd_mobilenet_v2_net.bin TIDL IO Info File : ../../test/testvecs/config/tidl_models/tensorflow/tidl_ssd_mobilenet_v2_io_ Num of Layer Detected : 102 -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- Num|TIDL Layer Name |Out Data Name |Group |#Ins |#Outs |Inbuf Ids |Outbuf Id |In NCHW |Out NCHW |MACS | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- 0|TIDL_DataLayer |Preprocessor/sub_original | 0| -1| 1| x x x x x x x x | 0 | 0 0 0 0 | 1 3 300 300 | 0 | 1|TIDL_ConvolutionLayer |FeatureExtractor/MobilenetV2/Conv/Relu6 | 0| 1| 1| 0 x x x x x x x | 1 | 1 3 300 300 | 1 32 150 150 | 20880000 | 2|TIDL_ConvolutionLayer |xtractor/MobilenetV2/expanded_conv/depthwise/Relu6| 0| 1| 1| 1 x x x x x x x | 2 | 1 32 150 150 | 1 32 150 150 | 7920000 | 3|TIDL_ConvolutionLayer |tV2/expanded_conv/project/BatchNorm/FusedBatchNorm| 0| 1| 1| 2 x x x x x x x | 3 | 1 32 150 150 | 1 16 150 150 | 11880000 | 4|TIDL_ConvolutionLayer |Extractor/MobilenetV2/expanded_conv_1/expand/Relu6| 0| 1| 1| 3 x x x x x x x | 4 | 1 16 150 150 | 1 96 150 150 | 38880000 | 5|TIDL_ConvolutionLayer |ractor/MobilenetV2/expanded_conv_1/depthwise/Relu6| 0| 1| 1| 4 x x x x x x x | 5 | 1 96 150 150 | 1 96 75 75 | 5940000 | 6|TIDL_ConvolutionLayer |2/expanded_conv_1/project/BatchNorm/FusedBatchNorm| 0| 1| 1| 5 x x x x x x x | 6 | 1 96 75 75 | 1 24 75 75 | 13095000 | 7|TIDL_ConvolutionLayer |Extractor/MobilenetV2/expanded_conv_2/expand/Relu6| 0| 1| 1| 6 x x x x x x x | 7 | 1 24 75 75 | 1 144 75 75 | 21060000 | 8|TIDL_ConvolutionLayer |ractor/MobilenetV2/expanded_conv_2/depthwise/Relu6| 0| 1| 1| 7 x x x x x x x | 8 | 1 144 75 75 | 1 144 75 75 | 8910000 | 9|TIDL_ConvolutionLayer |2/expanded_conv_2/project/BatchNorm/FusedBatchNorm| 0| 1| 1| 8 x x x x x x x | 9 | 1 144 75 75 | 1 24 75 75 | 19575000 | 10|TIDL_EltWiseLayer |FeatureExtractor/MobilenetV2/expanded_conv_2/add | 0| 2| 1| 9 6 x x x x x x | 10 | 1 24 75 75 | 1 24 75 75 | 135000 | 11|TIDL_ConvolutionLayer |Extractor/MobilenetV2/expanded_conv_3/expand/Relu6| 0| 1| 1| 10 x x x x x x x | 11 | 1 24 75 75 | 1 144 75 75 | 21060000 | 12|TIDL_ConvolutionLayer |ractor/MobilenetV2/expanded_conv_3/depthwise/Relu6| 0| 1| 1| 11 x x x x x x x | 12 | 1 144 75 75 | 1 144 38 38 | 2287296 | 13|TIDL_ConvolutionLayer |2/expanded_conv_3/project/BatchNorm/FusedBatchNorm| 0| 1| 1| 12 x x x x x x x | 13 | 1 144 38 38 | 1 32 38 38 | 6700160 | 14|TIDL_ConvolutionLayer |Extractor/MobilenetV2/expanded_conv_4/expand/Relu6| 0| 1| 1| 13 x x x x x x x | 14 | 1 32 38 38 | 1 192 38 38 | 9426432 | 15|TIDL_ConvolutionLayer |ractor/MobilenetV2/expanded_conv_4/depthwise/Relu6| 0| 1| 1| 14 x x x x x x x | 15 | 1 192 38 38 | 1 192 38 38 | 3049728 | 16|TIDL_ConvolutionLayer |2/expanded_conv_4/project/BatchNorm/FusedBatchNorm| 0| 1| 1| 15 x x x x x x x | 16 | 1 192 38 38 | 1 32 38 38 | 8918144 | 17|TIDL_EltWiseLayer |FeatureExtractor/MobilenetV2/expanded_conv_4/add | 0| 2| 1| 16 13 x x x x x x | 17 | 1 32 38 38 | 1 32 38 38 | 46208 | 18|TIDL_ConvolutionLayer |Extractor/MobilenetV2/expanded_conv_5/expand/Relu6| 0| 1| 1| 17 x x x x x x x | 18 | 1 32 38 38 | 1 192 38 38 | 9426432 | 19|TIDL_ConvolutionLayer |ractor/MobilenetV2/expanded_conv_5/depthwise/Relu6| 0| 1| 1| 18 x x x x x x x | 19 | 1 192 38 38 | 1 192 38 38 | 3049728 | 20|TIDL_ConvolutionLayer |2/expanded_conv_5/project/BatchNorm/FusedBatchNorm| 0| 1| 1| 19 x x x x x x x | 20 | 1 192 38 38 | 1 32 38 38 | 8918144 | 21|TIDL_EltWiseLayer |FeatureExtractor/MobilenetV2/expanded_conv_5/add | 0| 2| 1| 20 17 x x x x x x | 21 | 1 32 38 38 | 1 32 38 38 | 46208 | 22|TIDL_ConvolutionLayer |Extractor/MobilenetV2/expanded_conv_6/expand/Relu6| 0| 1| 1| 21 x x x x x x x | 22 | 1 32 38 38 | 1 192 38 38 | 9426432 | 23|TIDL_ConvolutionLayer |ractor/MobilenetV2/expanded_conv_6/depthwise/Relu6| 0| 1| 1| 22 x x x x x x x | 23 | 1 192 38 38 | 1 192 19 19 | 762432 | 24|TIDL_ConvolutionLayer |2/expanded_conv_6/project/BatchNorm/FusedBatchNorm| 0| 1| 1| 23 x x x x x x x | 24 | 1 192 19 19 | 1 64 19 19 | 4459072 | 25|TIDL_ConvolutionLayer |Extractor/MobilenetV2/expanded_conv_7/expand/Relu6| 0| 1| 1| 24 x x x x x x x | 25 | 1 64 19 19 | 1 384 19 19 | 9149184 | 26|TIDL_ConvolutionLayer |ractor/MobilenetV2/expanded_conv_7/depthwise/Relu6| 0| 1| 1| 25 x x x x x x x | 26 | 1 384 19 19 | 1 384 19 19 | 1524864 | 27|TIDL_ConvolutionLayer |2/expanded_conv_7/project/BatchNorm/FusedBatchNorm| 0| 1| 1| 26 x x x x x x x | 27 | 1 384 19 19 | 1 64 19 19 | 8895040 | 28|TIDL_EltWiseLayer |FeatureExtractor/MobilenetV2/expanded_conv_7/add | 0| 2| 1| 27 24 x x x x x x | 28 | 1 64 19 19 | 1 64 19 19 | 23104 | 29|TIDL_ConvolutionLayer |Extractor/MobilenetV2/expanded_conv_8/expand/Relu6| 0| 1| 1| 28 x x x x x x x | 29 | 1 64 19 19 | 1 384 19 19 | 9149184 | 30|TIDL_ConvolutionLayer |ractor/MobilenetV2/expanded_conv_8/depthwise/Relu6| 0| 1| 1| 29 x x x x x x x | 30 | 1 384 19 19 | 1 384 19 19 | 1524864 | 31|TIDL_ConvolutionLayer |2/expanded_conv_8/project/BatchNorm/FusedBatchNorm| 0| 1| 1| 30 x x x x x x x | 31 | 1 384 19 19 | 1 64 19 19 | 8895040 | 32|TIDL_EltWiseLayer |FeatureExtractor/MobilenetV2/expanded_conv_8/add | 0| 2| 1| 31 28 x x x x x x | 32 | 1 64 19 19 | 1 64 19 19 | 23104 | 33|TIDL_ConvolutionLayer |Extractor/MobilenetV2/expanded_conv_9/expand/Relu6| 0| 1| 1| 32 x x x x x x x | 33 | 1 64 19 19 | 1 384 19 19 | 9149184 | 34|TIDL_ConvolutionLayer |ractor/MobilenetV2/expanded_conv_9/depthwise/Relu6| 0| 1| 1| 33 x x x x x x x | 34 | 1 384 19 19 | 1 384 19 19 | 1524864 | 35|TIDL_ConvolutionLayer |2/expanded_conv_9/project/BatchNorm/FusedBatchNorm| 0| 1| 1| 34 x x x x x x x | 35 | 1 384 19 19 | 1 64 19 19 | 8895040 | 36|TIDL_EltWiseLayer |FeatureExtractor/MobilenetV2/expanded_conv_9/add | 0| 2| 1| 35 32 x x x x x x | 36 | 1 64 19 19 | 1 64 19 19 | 23104 | 37|TIDL_ConvolutionLayer |xtractor/MobilenetV2/expanded_conv_10/expand/Relu6| 0| 1| 1| 36 x x x x x x x | 37 | 1 64 19 19 | 1 384 19 19 | 9149184 | 38|TIDL_ConvolutionLayer |actor/MobilenetV2/expanded_conv_10/depthwise/Relu6| 0| 1| 1| 37 x x x x x x x | 38 | 1 384 19 19 | 1 384 19 19 | 1524864 | 39|TIDL_ConvolutionLayer |/expanded_conv_10/project/BatchNorm/FusedBatchNorm| 0| 1| 1| 38 x x x x x x x | 39 | 1 384 19 19 | 1 96 19 19 | 13342560 | 40|TIDL_ConvolutionLayer |xtractor/MobilenetV2/expanded_conv_11/expand/Relu6| 0| 1| 1| 39 x x x x x x x | 40 | 1 96 19 19 | 1 576 19 19 | 20377728 | 41|TIDL_ConvolutionLayer |actor/MobilenetV2/expanded_conv_11/depthwise/Relu6| 0| 1| 1| 40 x x x x x x x | 41 | 1 576 19 19 | 1 576 19 19 | 2287296 | 42|TIDL_ConvolutionLayer |/expanded_conv_11/project/BatchNorm/FusedBatchNorm| 0| 1| 1| 41 x x x x x x x | 42 | 1 576 19 19 | 1 96 19 19 | 19996512 | 43|TIDL_EltWiseLayer |FeatureExtractor/MobilenetV2/expanded_conv_11/add | 0| 2| 1| 42 39 x x x x x x | 43 | 1 96 19 19 | 1 96 19 19 | 34656 | 44|TIDL_ConvolutionLayer |xtractor/MobilenetV2/expanded_conv_12/expand/Relu6| 0| 1| 1| 43 x x x x x x x | 44 | 1 96 19 19 | 1 576 19 19 | 20377728 | 45|TIDL_ConvolutionLayer |actor/MobilenetV2/expanded_conv_12/depthwise/Relu6| 0| 1| 1| 44 x x x x x x x | 45 | 1 576 19 19 | 1 576 19 19 | 2287296 | 46|TIDL_ConvolutionLayer |/expanded_conv_12/project/BatchNorm/FusedBatchNorm| 0| 1| 1| 45 x x x x x x x | 46 | 1 576 19 19 | 1 96 19 19 | 19996512 | 47|TIDL_EltWiseLayer |FeatureExtractor/MobilenetV2/expanded_conv_12/add | 0| 2| 1| 46 43 x x x x x x | 47 | 1 96 19 19 | 1 96 19 19 | 34656 | 48|TIDL_ConvolutionLayer |xtractor/MobilenetV2/expanded_conv_13/expand/Relu6| 0| 1| 1| 47 x x x x x x x | 48 | 1 96 19 19 | 1 576 19 19 | 20377728 | 49|TIDL_ConvolutionLayer |actor/MobilenetV2/expanded_conv_13/depthwise/Relu6| 0| 1| 1| 48 x x x x x x x | 49 | 1 576 19 19 | 1 576 10 10 | 633600 | 50|TIDL_ConvolutionLayer |BoxPredictor_0/BoxEncodingPredictor/BiasAdd | 0| 1| 1| 48 x x x x x x x | 50 | 1 576 19 19 | 1 12 19 19 | 22461420 | 51|TIDL_ConvolutionLayer |BoxPredictor_0/ClassPredictor/BiasAdd | 0| 1| 1| 48 x x x x x x x | 51 | 1 576 19 19 | 1 273 19 19 | 510997305 | 52|TIDL_FlattenLayer |oxPredictor_0/BoxEncodingPredictor/BiasAdd_flatten| 0| 1| 1| 50 x x x x x x x | 52 | 1 12 19 19 | 1 1 1 4332 | 0 | 53|TIDL_FlattenLayer |BoxPredictor_0/ClassPredictor/BiasAdd_flatten | 0| 1| 1| 51 x x x x x x x | 53 | 1 273 19 19 | 1 1 1 98553 | 0 | 54|TIDL_ConvolutionLayer |/expanded_conv_13/project/BatchNorm/FusedBatchNorm| 0| 1| 1| 49 x x x x x x x | 54 | 1 576 10 10 | 1 160 10 10 | 9232000 | 55|TIDL_ConvolutionLayer |xtractor/MobilenetV2/expanded_conv_14/expand/Relu6| 0| 1| 1| 54 x x x x x x x | 55 | 1 160 10 10 | 1 960 10 10 | 15552000 | 56|TIDL_ConvolutionLayer |actor/MobilenetV2/expanded_conv_14/depthwise/Relu6| 0| 1| 1| 55 x x x x x x x | 56 | 1 960 10 10 | 1 960 10 10 | 1056000 | 57|TIDL_ConvolutionLayer |/expanded_conv_14/project/BatchNorm/FusedBatchNorm| 0| 1| 1| 56 x x x x x x x | 57 | 1 960 10 10 | 1 160 10 10 | 15376000 | 58|TIDL_EltWiseLayer |FeatureExtractor/MobilenetV2/expanded_conv_14/add | 0| 2| 1| 57 54 x x x x x x | 58 | 1 160 10 10 | 1 160 10 10 | 16000 | 59|TIDL_ConvolutionLayer |xtractor/MobilenetV2/expanded_conv_15/expand/Relu6| 0| 1| 1| 58 x x x x x x x | 59 | 1 160 10 10 | 1 960 10 10 | 15552000 | 60|TIDL_ConvolutionLayer |actor/MobilenetV2/expanded_conv_15/depthwise/Relu6| 0| 1| 1| 59 x x x x x x x | 60 | 1 960 10 10 | 1 960 10 10 | 1056000 | 61|TIDL_ConvolutionLayer |/expanded_conv_15/project/BatchNorm/FusedBatchNorm| 0| 1| 1| 60 x x x x x x x | 61 | 1 960 10 10 | 1 160 10 10 | 15376000 | 62|TIDL_EltWiseLayer |FeatureExtractor/MobilenetV2/expanded_conv_15/add | 0| 2| 1| 61 58 x x x x x x | 62 | 1 160 10 10 | 1 160 10 10 | 16000 | 63|TIDL_ConvolutionLayer |xtractor/MobilenetV2/expanded_conv_16/expand/Relu6| 0| 1| 1| 62 x x x x x x x | 63 | 1 160 10 10 | 1 960 10 10 | 15552000 | 64|TIDL_ConvolutionLayer |actor/MobilenetV2/expanded_conv_16/depthwise/Relu6| 0| 1| 1| 63 x x x x x x x | 64 | 1 960 10 10 | 1 960 10 10 | 1056000 | 65|TIDL_ConvolutionLayer |/expanded_conv_16/project/BatchNorm/FusedBatchNorm| 0| 1| 1| 64 x x x x x x x | 65 | 1 960 10 10 | 1 320 10 10 | 30752000 | 66|TIDL_ConvolutionLayer |FeatureExtractor/MobilenetV2/Conv_1/Relu6 | 0| 1| 1| 65 x x x x x x x | 66 | 1 320 10 10 | 1 1280 10 10 | 41216000 | 67|TIDL_ConvolutionLayer |ctor/MobilenetV2/layer_19_1_Conv2d_2_1x1_256/Relu6| 0| 1| 1| 66 x x x x x x x | 67 | 1 1280 10 10 | 1 256 10 10 | 32819200 | 68|TIDL_ConvolutionLayer |BoxPredictor_1/BoxEncodingPredictor/BiasAdd | 0| 1| 1| 66 x x x x x x x | 68 | 1 1280 10 10 | 1 24 10 10 | 27650400 | 69|TIDL_ConvolutionLayer |BoxPredictor_1/ClassPredictor/BiasAdd | 0| 1| 1| 66 x x x x x x x | 69 | 1 1280 10 10 | 1 546 10 10 | 629046600 | 70|TIDL_FlattenLayer |oxPredictor_1/BoxEncodingPredictor/BiasAdd_flatten| 0| 1| 1| 68 x x x x x x x | 70 | 1 24 10 10 | 1 1 1 2400 | 0 | 71|TIDL_FlattenLayer |BoxPredictor_1/ClassPredictor/BiasAdd_flatten | 0| 1| 1| 69 x x x x x x x | 71 | 1 546 10 10 | 1 1 1 54600 | 0 | 72|TIDL_ConvolutionLayer |tV2/layer_19_2_Conv2d_2_3x3_s2_512_depthwise/Relu6| 0| 1| 1| 67 x x x x x x x | 72 | 1 256 10 10 | 1 256 5 5 | 70400 | 73|TIDL_ConvolutionLayer |r/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/Relu6| 0| 1| 1| 72 x x x x x x x | 73 | 1 256 5 5 | 1 512 5 5 | 3302400 | 74|TIDL_ConvolutionLayer |ctor/MobilenetV2/layer_19_1_Conv2d_3_1x1_128/Relu6| 0| 1| 1| 73 x x x x x x x | 74 | 1 512 5 5 | 1 128 5 5 | 1644800 | 75|TIDL_ConvolutionLayer |BoxPredictor_2/BoxEncodingPredictor/BiasAdd | 0| 1| 1| 73 x x x x x x x | 75 | 1 512 5 5 | 1 24 5 5 | 2765400 | 76|TIDL_ConvolutionLayer |BoxPredictor_2/ClassPredictor/BiasAdd | 0| 1| 1| 73 x x x x x x x | 76 | 1 512 5 5 | 1 546 5 5 | 62912850 | 77|TIDL_FlattenLayer |oxPredictor_2/BoxEncodingPredictor/BiasAdd_flatten| 0| 1| 1| 75 x x x x x x x | 77 | 1 24 5 5 | 1 1 1 600 | 0 | 78|TIDL_FlattenLayer |BoxPredictor_2/ClassPredictor/BiasAdd_flatten | 0| 1| 1| 76 x x x x x x x | 78 | 1 546 5 5 | 1 1 1 13650 | 0 | 79|TIDL_ConvolutionLayer |tV2/layer_19_2_Conv2d_3_3x3_s2_256_depthwise/Relu6| 0| 1| 1| 74 x x x x x x x | 79 | 1 128 5 5 | 1 128 3 3 | 12672 | 80|TIDL_ConvolutionLayer |r/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/Relu6| 0| 1| 1| 79 x x x x x x x | 80 | 1 128 3 3 | 1 256 3 3 | 299520 | 81|TIDL_ConvolutionLayer |ctor/MobilenetV2/layer_19_1_Conv2d_4_1x1_128/Relu6| 0| 1| 1| 80 x x x x x x x | 81 | 1 256 3 3 | 1 128 3 3 | 297216 | 82|TIDL_ConvolutionLayer |BoxPredictor_3/BoxEncodingPredictor/BiasAdd | 0| 1| 1| 80 x x x x x x x | 82 | 1 256 3 3 | 1 24 3 3 | 497880 | 83|TIDL_ConvolutionLayer |BoxPredictor_3/ClassPredictor/BiasAdd | 0| 1| 1| 80 x x x x x x x | 83 | 1 256 3 3 | 1 546 3 3 | 11326770 | 84|TIDL_FlattenLayer |oxPredictor_3/BoxEncodingPredictor/BiasAdd_flatten| 0| 1| 1| 82 x x x x x x x | 84 | 1 24 3 3 | 1 1 1 216 | 0 | 85|TIDL_FlattenLayer |BoxPredictor_3/ClassPredictor/BiasAdd_flatten | 0| 1| 1| 83 x x x x x x x | 85 | 1 546 3 3 | 1 1 1 4914 | 0 | 86|TIDL_ConvolutionLayer |tV2/layer_19_2_Conv2d_4_3x3_s2_256_depthwise/Relu6| 0| 1| 1| 81 x x x x x x x | 86 | 1 128 3 3 | 1 128 2 2 | 5632 | 87|TIDL_ConvolutionLayer |r/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/Relu6| 0| 1| 1| 86 x x x x x x x | 87 | 1 128 2 2 | 1 256 2 2 | 133120 | 88|TIDL_ConvolutionLayer |actor/MobilenetV2/layer_19_1_Conv2d_5_1x1_64/Relu6| 0| 1| 1| 87 x x x x x x x | 88 | 1 256 2 2 | 1 64 2 2 | 66048 | 89|TIDL_ConvolutionLayer |BoxPredictor_4/BoxEncodingPredictor/BiasAdd | 0| 1| 1| 87 x x x x x x x | 89 | 1 256 2 2 | 1 24 2 2 | 221280 | 90|TIDL_ConvolutionLayer |BoxPredictor_4/ClassPredictor/BiasAdd | 0| 1| 1| 87 x x x x x x x | 90 | 1 256 2 2 | 1 546 2 2 | 5034120 | 91|TIDL_FlattenLayer |oxPredictor_4/BoxEncodingPredictor/BiasAdd_flatten| 0| 1| 1| 89 x x x x x x x | 91 | 1 24 2 2 | 1 1 1 96 | 0 | 92|TIDL_FlattenLayer |BoxPredictor_4/ClassPredictor/BiasAdd_flatten | 0| 1| 1| 90 x x x x x x x | 92 | 1 546 2 2 | 1 1 1 2184 | 0 | 93|TIDL_ConvolutionLayer |tV2/layer_19_2_Conv2d_5_3x3_s2_128_depthwise/Relu6| 0| 1| 1| 88 x x x x x x x | 93 | 1 64 2 2 | 1 64 1 1 | 704 | 94|TIDL_ConvolutionLayer |r/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128/Relu6| 0| 1| 1| 93 x x x x x x x | 94 | 1 64 1 1 | 1 128 1 1 | 8448 | 95|TIDL_ConvolutionLayer |BoxPredictor_5/BoxEncodingPredictor/BiasAdd | 0| 1| 1| 94 x x x x x x x | 95 | 1 128 1 1 | 1 24 1 1 | 27672 | 96|TIDL_ConvolutionLayer |BoxPredictor_5/ClassPredictor/BiasAdd | 0| 1| 1| 94 x x x x x x x | 96 | 1 128 1 1 | 1 546 1 1 | 629538 | 97|TIDL_FlattenLayer |oxPredictor_5/BoxEncodingPredictor/BiasAdd_flatten| 0| 1| 1| 95 x x x x x x x | 97 | 1 24 1 1 | 1 1 1 24 | 0 | 98|TIDL_FlattenLayer |BoxPredictor_5/ClassPredictor/BiasAdd_flatten | 0| 1| 1| 96 x x x x x x x | 98 | 1 546 1 1 | 1 1 1 546 | 0 | 99|TIDL_ConcatLayer |tf_ssd_box_conat_layer | 0| 6| 1| 52 70 77 84 91 97 x x | 99 | 1 1 1 4332 | 1 1 1 7668 | 0 | 100|TIDL_ConcatLayer |tf_ssd_class_conat_layer | 0| 6| 1| 53 71 78 85 92 98 x x |100 | 1 1 1 98553 | 1 1 1 174447 | 0 | 101|TIDL_DetectionOutputLayer |tf_ssd_detection_output_layer | 0| 2| 1| 99 100 x x x x x x |101 | 1 1 1 7668 | 1 1 1 284 | 0 | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- Total Giga Macs : 1.8991 -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- ~~~~~Running TIDL in PC emulation mode to collect Activations range for each layer~~~~~ Processing config file #0 : /home/dminguzzi/zf_root/psdk_rtos_auto_j7_06_02_00_21/tidl_j7_01_01_00_10/ti_dl/utils/tidlModelImport/tempDir/qunat_stats_config.txt Instance created for /home/dminguzzi/zf_root/psdk_rtos_auto_j7_06_02_00_21/tidl_j7_01_01_00_10/ti_dl/utils/tidlModelImport/tempDir/qunat_stats_config.txt ----------------------- TIDL Process with REF_ONLY FLOW ------------------------ # 0 . .. 0 1.00000 0.00000 255.00000 0 1 29.55005 0.00000 6.00000 0 2 19.10384 0.00000 6.00000 0 3 2.68227 -25.88612 23.44386 1 4 32.99330 0.00000 6.00000 0 5 34.83830 0.00000 6.00000 0 6 6.47466 -14.21858 16.25808 1 7 23.64722 0.00000 6.00000 0 8 39.19345 0.00000 6.00000 0 9 5.25114 -23.58157 19.77659 1 10 2.62557 -23.91149 26.17885 1 11 40.50244 0.00000 6.00000 0 12 27.40366 0.00000 6.00000 0 13 7.59795 -12.76866 11.30831 1 14 22.57994 0.00000 6.00000 0 15 36.77746 0.00000 6.00000 0 16 10.69997 -11.80585 11.82684 1 17 7.59795 -14.80252 15.32692 1 18 30.66860 0.00000 6.00000 0 19 26.78150 0.00000 6.00000 0 20 5.99617 -12.10213 10.49368 1 21 2.99809 -18.81409 25.62052 1 22 22.80662 0.00000 6.00000 0 23 22.43146 0.00000 6.00000 0 24 7.09137 -10.83375 8.70198 1 25 40.18910 0.00000 6.00000 0 26 22.01139 0.00000 6.00000 0 27 12.61546 -8.30238 7.41836 1 28 7.09137 -13.87910 10.76131 1 29 42.26540 0.00000 6.00000 0 30 33.72332 0.00000 5.28751 0 31 14.96330 -7.35706 7.48629 1 32 7.09137 -14.08401 11.06538 1 33 39.01711 0.00000 6.00000 0 34 34.70491 0.00000 6.00000 0 35 4.20596 -17.09952 15.41200 1 36 4.20596 -18.80887 17.37861 1 37 21.33548 0.00000 6.00000 0 38 23.66273 0.00000 6.00000 0 39 15.73284 -7.31452 7.71972 1 40 37.87994 0.00000 6.00000 0 41 35.59250 0.00000 6.00000 0 42 11.73005 -9.26040 8.96602 1 43 5.86503 -11.36371 9.28038 1 44 21.96165 0.00000 6.00000 0 45 41.98915 0.00000 6.00000 0 46 5.83850 -11.06643 15.87925 1 47 5.83850 -16.65669 14.99744 1 48 17.34140 0.00000 6.00000 0 49 17.09563 0.00000 6.00000 0 50 5.57053 -11.93853 3.77685 1 51 2.27620 -32.17819 5.33972 1 52 5.57053 -11.93853 3.77685 1 53 2.27620 -32.17819 5.33972 1 54 10.52278 -8.35799 5.28393 1 55 33.43405 0.00000 6.00000 0 56 19.40721 0.00000 6.00000 0 57 10.87102 -7.11988 8.23002 1 58 10.52278 -11.44244 9.10673 1 59 31.67789 0.00000 6.00000 0 60 30.66929 0.00000 6.00000 0 61 6.97570 -13.30764 11.59326 1 62 3.48785 -20.46390 16.39621 1 63 29.24664 0.00000 6.00000 0 64 25.09659 0.00000 6.00000 0 65 10.14904 -8.62805 9.02102 1 66 21.38083 0.00000 6.00000 0 67 22.76241 0.00000 6.00000 0 68 26.68347 -3.12899 2.86519 1 69 5.30026 -21.69319 7.01138 1 70 26.68347 -3.12899 2.86519 1 71 5.30026 -21.69319 7.01138 1 72 21.86424 0.00000 5.12824 0 73 22.49684 0.00000 6.00000 0 74 30.97677 0.00000 5.65810 0 75 37.11251 -2.61367 2.34064 1 76 6.53047 -15.67562 5.78329 1 77 37.11251 -2.61367 2.34064 1 78 6.53047 -15.67562 5.78329 1 79 44.78882 0.00000 4.51424 0 80 38.29218 0.00000 6.00000 0 81 33.53014 0.00000 6.00000 0 82 34.04901 -2.25273 2.04508 1 83 5.39757 -13.86998 4.91576 1 84 34.04901 -2.25273 2.04508 1 85 5.39757 -13.86998 4.91576 1 86 35.42421 0.00000 4.49375 0 87 23.19076 0.00000 6.00000 0 88 76.49439 0.00000 2.85208 0 89 50.82088 -2.24317 2.00267 1 90 7.63559 -12.37241 4.56742 1 91 50.82088 -2.24317 2.00267 1 92 7.63559 -12.37241 4.56742 1 93 51.38946 0.00000 3.43456 0 94 28.91987 0.00000 6.00000 0 95 31.03898 -3.77971 0.68582 1 96 5.50338 -14.53172 7.06756 1 97 31.03898 -3.77971 0.68582 1 98 5.50338 -14.53172 7.06756 1 99 5.57053 -12.02759 3.76984 1 100 2.27620 -32.07093 6.96060 1 101 1.00000 -1.00000 1.00000 6 T 1745.44 ...Segmentation fault (core dumped) cd /home/dminguzzi/zf_root/psdk_rtos_auto_j7_06_02_00_21/tidl_j7_01_01_00_10/ti_dl/test && ./PC_dsp_test_dl_algo.out /home/dminguzzi/zf_root/psdk_rtos_auto_j7_06_02_00_21/tidl_j7_01_01_00_10/ti_dl/utils/tidlModelImport/tempDir/configFilesList.txtcp /home/dminguzzi/zf_root/psdk_rtos_auto_j7_06_02_00_21/tidl_j7_01_01_00_10/ti_dl/test/testvecs/config/import/perfsim_base_st_mobilenetV2.cfg tempSimDir/perf_sim_config.txt cd /home/dminguzzi/zf_root/psdk_rtos_auto_j7_06_02_00_21/tidl_j7_01_01_00_10/ti_dl/utils/perfsim && ./ti_cnnperfsim.out /home/dminguzzi/zf_root/psdk_rtos_auto_j7_06_02_00_21/tidl_j7_01_01_00_10/ti_dl/utils/tidlModelImport/tempSimDir/perf_sim_config.txt 1 0 2 ------------------ Network Compiler Traces ----------------------------- Main iteration numer: 0.... Life time alive buffers are with ID: 60101 ( 1), 10102 ( 0), 101 ( 2), 40002 ( 2), 100 ( 1), 20102 ( 0), 40001 ( 2), Preparing for memory allocation : internal iteration number: 0 successful Memory allocation -------------------- Network Compiler : Analysis Results are available -------------------- /home/dminguzzi/zf_root/psdk_rtos_auto_j7_06_02_00_21/tidl_j7_01_01_00_10/ti_dl/utils/tidlModelGraphviz/out/tidl_graphVisualiser.out ../../test/testvecs/config/tidl_models/tensorflow/tidl_ssd_mobilenet_v2_net.bin **************************************************** ** TIDL Model Checker ** **************************************************** ERROR : [TIDL_E_QUANT_STATS_NOT_AVAILABLE] tidl_quant_stats_tool.out fails to collect dynamic range. Please look into quant stats log. This model will get fault on target. **************************************************** ** 0 WARNINGS 1 ERRORS ** ****************************************************