Log of model compilation: TFLite Model (Flatbuf) File : ../../test/testvecs/models/quant_mobilenet_v2_high_reg_batched1.tflite TIDL Network File : ../../test/testvecs/out/quant_model/180_tidl_net.bin TIDL IO Info File : ../../test/testvecs/out/quant_model/180_tidl_io_ 70 Running tidl_optimizeNet printing Current net 0|TIDL_DataLayer | |serving_default_input_1:0_original | 0| 0| 1|TIDL_BatchNormLayer |serving_default_input_1:0_original |serving_default_input_1:0 | 0| 1| 2|TIDL_ConvolutionLayer |serving_default_input_1:0 |model/Conv1_relu/Relu6;model/bn_Conv1/FusedBatchNormV3;model/block_5_project/Conv2D;model/Conv1/Conv2D| 1| 2| 3|TIDL_ConvolutionLayer |model/Conv1_relu/Relu6;model/bn_Conv1/FusedBatchNormV3;model/block_5_project/Conv2D;model/Conv1/Conv2D|model/expanded_conv_depthwise_relu/Relu6;model/expanded_conv_depthwise_BN/FusedBatchNormV3;model/expanded_conv_depthwise/depthwise;model/block_5_project/Conv2D| 2| 3| 4|TIDL_ConvolutionLayer |model/expanded_conv_depthwise_relu/Relu6;model/expanded_conv_depthwise_BN/FusedBatchNormV3;model/expanded_conv_depthwise/depthwise;model/block_5_project/Conv2D|model/expanded_conv_project_BN/FusedBatchNormV3;model/expanded_conv_project/Conv2D| 3| 4| 5|TIDL_ConvolutionLayer |model/expanded_conv_project_BN/FusedBatchNormV3;model/expanded_conv_project/Conv2D|model/block_1_expand_relu/Relu6;model/block_1_expand_BN/FusedBatchNormV3;model/block_12_project/Conv2D;model/block_1_expand/Conv2D| 4| 5| 6|TIDL_ConvolutionLayer |model/block_1_expand_relu/Relu6;model/block_1_expand_BN/FusedBatchNormV3;model/block_12_project/Conv2D;model/block_1_expand/Conv2D|model/block_1_depthwise_relu/Relu6;model/block_1_depthwise_BN/FusedBatchNormV3;model/block_12_project/Conv2D;model/block_1_depthwise/depthwise| 5| 6| 7|TIDL_ConvolutionLayer |model/block_1_depthwise_relu/Relu6;model/block_1_depthwise_BN/FusedBatchNormV3;model/block_12_project/Conv2D;model/block_1_depthwise/depthwise|model/block_1_project_BN/FusedBatchNormV3;model/block_2_project/Conv2D;model/block_1_project/Conv2D| 6| 7| 8|TIDL_ConvolutionLayer |model/block_1_project_BN/FusedBatchNormV3;model/block_2_project/Conv2D;model/block_1_project/Conv2D|model/block_2_expand_relu/Relu6;model/block_2_expand_BN/FusedBatchNormV3;model/block_3_depthwise/depthwise;model/block_2_expand/Conv2D| 7| 8| 9|TIDL_ConvolutionLayer |model/block_2_expand_relu/Relu6;model/block_2_expand_BN/FusedBatchNormV3;model/block_3_depthwise/depthwise;model/block_2_expand/Conv2D|model/block_2_depthwise_relu/Relu6;model/block_2_depthwise_BN/FusedBatchNormV3;model/block_3_depthwise/depthwise;model/block_2_depthwise/depthwise| 8| 9| 10|TIDL_ConvolutionLayer |model/block_2_depthwise_relu/Relu6;model/block_2_depthwise_BN/FusedBatchNormV3;model/block_3_depthwise/depthwise;model/block_2_depthwise/depthwise|model/block_2_project_BN/FusedBatchNormV3;model/block_2_project/Conv2D| 9| 10| 11|TIDL_EltWiseLayer |model/block_1_project_BN/FusedBatchNormV3;model/block_2_project/Conv2D;model/block_1_project/Conv2D|model/block_2_add/add | 7| 11| 12|TIDL_ConvolutionLayer |model/block_2_add/add |model/block_3_expand_relu/Relu6;model/block_3_expand_BN/FusedBatchNormV3;model/block_3_depthwise/depthwise;model/block_3_expand/Conv2D| 11| 12| 13|TIDL_ConvolutionLayer |model/block_3_expand_relu/Relu6;model/block_3_expand_BN/FusedBatchNormV3;model/block_3_depthwise/depthwise;model/block_3_expand/Conv2D|model/block_3_depthwise_relu/Relu6;model/block_3_depthwise_BN/FusedBatchNormV3;model/block_3_depthwise/depthwise| 12| 13| 14|TIDL_ConvolutionLayer |model/block_3_depthwise_relu/Relu6;model/block_3_depthwise_BN/FusedBatchNormV3;model/block_3_depthwise/depthwise|model/block_3_project_BN/FusedBatchNormV3;model/block_5_project/Conv2D;model/block_3_project/Conv2D| 13| 14| 15|TIDL_ConvolutionLayer |model/block_3_project_BN/FusedBatchNormV3;model/block_5_project/Conv2D;model/block_3_project/Conv2D|model/block_4_expand_relu/Relu6;model/block_4_expand_BN/FusedBatchNormV3;model/block_6_depthwise/depthwise;model/block_4_expand/Conv2D| 14| 15| 16|TIDL_ConvolutionLayer |model/block_4_expand_relu/Relu6;model/block_4_expand_BN/FusedBatchNormV3;model/block_6_depthwise/depthwise;model/block_4_expand/Conv2D|model/block_4_depthwise_relu/Relu6;model/block_4_depthwise_BN/FusedBatchNormV3;model/block_6_depthwise/depthwise;model/block_4_depthwise/depthwise| 15| 16| 17|TIDL_ConvolutionLayer |model/block_4_depthwise_relu/Relu6;model/block_4_depthwise_BN/FusedBatchNormV3;model/block_6_depthwise/depthwise;model/block_4_depthwise/depthwise|model/block_4_project_BN/FusedBatchNormV3;model/block_5_project/Conv2D;model/block_4_project/Conv2D| 16| 17| 18|TIDL_EltWiseLayer |model/block_3_project_BN/FusedBatchNormV3;model/block_5_project/Conv2D;model/block_3_project/Conv2D|model/block_4_add/add | 14| 18| 19|TIDL_ConvolutionLayer |model/block_4_add/add |model/block_5_expand_relu/Relu6;model/block_5_expand_BN/FusedBatchNormV3;model/block_6_depthwise/depthwise;model/block_5_expand/Conv2D| 18| 19| 20|TIDL_ConvolutionLayer |model/block_5_expand_relu/Relu6;model/block_5_expand_BN/FusedBatchNormV3;model/block_6_depthwise/depthwise;model/block_5_expand/Conv2D|model/block_5_depthwise_relu/Relu6;model/block_5_depthwise_BN/FusedBatchNormV3;model/block_6_depthwise/depthwise;model/block_5_depthwise/depthwise| 19| 20| 21|TIDL_ConvolutionLayer |model/block_5_depthwise_relu/Relu6;model/block_5_depthwise_BN/FusedBatchNormV3;model/block_6_depthwise/depthwise;model/block_5_depthwise/depthwise|model/block_5_project_BN/FusedBatchNormV3;model/block_5_project/Conv2D| 20| 21| 22|TIDL_EltWiseLayer |model/block_4_add/add |model/block_5_add/add | 18| 22| 23|TIDL_ConvolutionLayer |model/block_5_add/add |model/block_6_expand_relu/Relu6;model/block_6_expand_BN/FusedBatchNormV3;model/block_6_depthwise/depthwise;model/block_6_expand/Conv2D| 22| 23| 24|TIDL_ConvolutionLayer |model/block_6_expand_relu/Relu6;model/block_6_expand_BN/FusedBatchNormV3;model/block_6_depthwise/depthwise;model/block_6_expand/Conv2D|model/block_6_depthwise_relu/Relu6;model/block_6_depthwise_BN/FusedBatchNormV3;model/block_6_depthwise/depthwise| 23| 24| 25|TIDL_ConvolutionLayer |model/block_6_depthwise_relu/Relu6;model/block_6_depthwise_BN/FusedBatchNormV3;model/block_6_depthwise/depthwise|model/block_6_project_BN/FusedBatchNormV3;model/block_9_project/Conv2D;model/block_6_project/Conv2D| 24| 25| 26|TIDL_ConvolutionLayer |model/block_6_project_BN/FusedBatchNormV3;model/block_9_project/Conv2D;model/block_6_project/Conv2D|model/block_7_expand_relu/Relu6;model/block_7_expand_BN/FusedBatchNormV3;model/block_10_depthwise/depthwise;model/block_7_expand/Conv2D| 25| 26| 27|TIDL_ConvolutionLayer |model/block_7_expand_relu/Relu6;model/block_7_expand_BN/FusedBatchNormV3;model/block_10_depthwise/depthwise;model/block_7_expand/Conv2D|model/block_7_depthwise_relu/Relu6;model/block_7_depthwise_BN/FusedBatchNormV3;model/block_10_depthwise/depthwise;model/block_7_depthwise/depthwise| 26| 27| 28|TIDL_ConvolutionLayer |model/block_7_depthwise_relu/Relu6;model/block_7_depthwise_BN/FusedBatchNormV3;model/block_10_depthwise/depthwise;model/block_7_depthwise/depthwise|model/block_7_project_BN/FusedBatchNormV3;model/block_9_project/Conv2D;model/block_7_project/Conv2D| 27| 28| 29|TIDL_EltWiseLayer |model/block_6_project_BN/FusedBatchNormV3;model/block_9_project/Conv2D;model/block_6_project/Conv2D|model/block_7_add/add | 25| 29| 30|TIDL_ConvolutionLayer |model/block_7_add/add |model/block_8_expand_relu/Relu6;model/block_8_expand_BN/FusedBatchNormV3;model/block_10_depthwise/depthwise;model/block_8_expand/Conv2D| 29| 30| 31|TIDL_ConvolutionLayer |model/block_8_expand_relu/Relu6;model/block_8_expand_BN/FusedBatchNormV3;model/block_10_depthwise/depthwise;model/block_8_expand/Conv2D|model/block_8_depthwise_relu/Relu6;model/block_8_depthwise_BN/FusedBatchNormV3;model/block_10_depthwise/depthwise;model/block_8_depthwise/depthwise| 30| 31| 32|TIDL_ConvolutionLayer |model/block_8_depthwise_relu/Relu6;model/block_8_depthwise_BN/FusedBatchNormV3;model/block_10_depthwise/depthwise;model/block_8_depthwise/depthwise|model/block_8_project_BN/FusedBatchNormV3;model/block_9_project/Conv2D;model/block_8_project/Conv2D| 31| 32| 33|TIDL_EltWiseLayer |model/block_7_add/add |model/block_8_add/add | 29| 33| 34|TIDL_ConvolutionLayer |model/block_8_add/add |model/block_9_expand_relu/Relu6;model/block_9_expand_BN/FusedBatchNormV3;model/block_10_depthwise/depthwise;model/block_9_expand/Conv2D| 33| 34| 35|TIDL_ConvolutionLayer |model/block_9_expand_relu/Relu6;model/block_9_expand_BN/FusedBatchNormV3;model/block_10_depthwise/depthwise;model/block_9_expand/Conv2D|model/block_9_depthwise_relu/Relu6;model/block_9_depthwise_BN/FusedBatchNormV3;model/block_10_depthwise/depthwise;model/block_9_depthwise/depthwise| 34| 35| 36|TIDL_ConvolutionLayer |model/block_9_depthwise_relu/Relu6;model/block_9_depthwise_BN/FusedBatchNormV3;model/block_10_depthwise/depthwise;model/block_9_depthwise/depthwise|model/block_9_project_BN/FusedBatchNormV3;model/block_9_project/Conv2D| 35| 36| 37|TIDL_EltWiseLayer |model/block_8_add/add |model/block_9_add/add | 33| 37| 38|TIDL_ConvolutionLayer |model/block_9_add/add |model/block_10_expand_relu/Relu6;model/block_10_expand_BN/FusedBatchNormV3;model/block_10_depthwise/depthwise;model/block_10_expand/Conv2D| 37| 38| 39|TIDL_ConvolutionLayer |model/block_10_expand_relu/Relu6;model/block_10_expand_BN/FusedBatchNormV3;model/block_10_depthwise/depthwise;model/block_10_expand/Conv2D|model/block_10_depthwise_relu/Relu6;model/block_10_depthwise_BN/FusedBatchNormV3;model/block_10_depthwise/depthwise| 38| 39| 40|TIDL_ConvolutionLayer |model/block_10_depthwise_relu/Relu6;model/block_10_depthwise_BN/FusedBatchNormV3;model/block_10_depthwise/depthwise|model/block_10_project_BN/FusedBatchNormV3;model/block_12_project/Conv2D;model/block_10_project/Conv2D| 39| 40| 41|TIDL_ConvolutionLayer |model/block_10_project_BN/FusedBatchNormV3;model/block_12_project/Conv2D;model/block_10_project/Conv2D|model/block_11_expand_relu/Relu6;model/block_11_expand_BN/FusedBatchNormV3;model/block_13_depthwise/depthwise;model/block_11_expand/Conv2D| 40| 41| 42|TIDL_ConvolutionLayer |model/block_11_expand_relu/Relu6;model/block_11_expand_BN/FusedBatchNormV3;model/block_13_depthwise/depthwise;model/block_11_expand/Conv2D|model/block_11_depthwise_relu/Relu6;model/block_11_depthwise_BN/FusedBatchNormV3;model/block_13_depthwise/depthwise;model/block_11_depthwise/depthwise| 41| 42| 43|TIDL_ConvolutionLayer |model/block_11_depthwise_relu/Relu6;model/block_11_depthwise_BN/FusedBatchNormV3;model/block_13_depthwise/depthwise;model/block_11_depthwise/depthwise|model/block_11_project_BN/FusedBatchNormV3;model/block_12_project/Conv2D;model/block_11_project/Conv2D| 42| 43| 44|TIDL_EltWiseLayer |model/block_10_project_BN/FusedBatchNormV3;model/block_12_project/Conv2D;model/block_10_project/Conv2D|model/block_11_add/add | 40| 44| 45|TIDL_ConvolutionLayer |model/block_11_add/add |model/block_12_expand_relu/Relu6;model/block_12_expand_BN/FusedBatchNormV3;model/block_13_depthwise/depthwise;model/block_12_expand/Conv2D| 44| 45| 46|TIDL_ConvolutionLayer |model/block_12_expand_relu/Relu6;model/block_12_expand_BN/FusedBatchNormV3;model/block_13_depthwise/depthwise;model/block_12_expand/Conv2D|model/block_12_depthwise_relu/Relu6;model/block_12_depthwise_BN/FusedBatchNormV3;model/block_13_depthwise/depthwise;model/block_12_depthwise/depthwise| 45| 46| 47|TIDL_ConvolutionLayer |model/block_12_depthwise_relu/Relu6;model/block_12_depthwise_BN/FusedBatchNormV3;model/block_13_depthwise/depthwise;model/block_12_depthwise/depthwise|model/block_12_project_BN/FusedBatchNormV3;model/block_12_project/Conv2D| 46| 47| 48|TIDL_EltWiseLayer |model/block_11_add/add |model/block_12_add/add | 44| 48| 49|TIDL_ConvolutionLayer |model/block_12_add/add |model/block_13_expand_relu/Relu6;model/block_13_expand_BN/FusedBatchNormV3;model/block_13_depthwise/depthwise;model/block_13_expand/Conv2D| 48| 49| 50|TIDL_ConvolutionLayer |model/block_13_expand_relu/Relu6;model/block_13_expand_BN/FusedBatchNormV3;model/block_13_depthwise/depthwise;model/block_13_expand/Conv2D|model/block_13_depthwise_relu/Relu6;model/block_13_depthwise_BN/FusedBatchNormV3;model/block_13_depthwise/depthwise| 49| 50| 51|TIDL_ConvolutionLayer |model/block_13_depthwise_relu/Relu6;model/block_13_depthwise_BN/FusedBatchNormV3;model/block_13_depthwise/depthwise|model/block_13_project_BN/FusedBatchNormV3;model/block_15_project/Conv2D;model/block_13_project/Conv2D| 50| 51| 52|TIDL_ConvolutionLayer |model/block_13_project_BN/FusedBatchNormV3;model/block_15_project/Conv2D;model/block_13_project/Conv2D|model/block_14_expand_relu/Relu6;model/block_14_expand_BN/FusedBatchNormV3;model/block_16_depthwise/depthwise;model/block_14_expand/Conv2D| 51| 52| 53|TIDL_ConvolutionLayer |model/block_14_expand_relu/Relu6;model/block_14_expand_BN/FusedBatchNormV3;model/block_16_depthwise/depthwise;model/block_14_expand/Conv2D|model/block_14_depthwise_relu/Relu6;model/block_14_depthwise_BN/FusedBatchNormV3;model/block_16_depthwise/depthwise;model/block_14_depthwise/depthwise| 52| 53| 54|TIDL_ConvolutionLayer |model/block_14_depthwise_relu/Relu6;model/block_14_depthwise_BN/FusedBatchNormV3;model/block_16_depthwise/depthwise;model/block_14_depthwise/depthwise|model/block_14_project_BN/FusedBatchNormV3;model/block_15_project/Conv2D;model/block_14_project/Conv2D| 53| 54| 55|TIDL_EltWiseLayer |model/block_13_project_BN/FusedBatchNormV3;model/block_15_project/Conv2D;model/block_13_project/Conv2D|model/block_14_add/add | 51| 55| 56|TIDL_ConvolutionLayer |model/block_14_add/add |model/block_15_expand_relu/Relu6;model/block_15_expand_BN/FusedBatchNormV3;model/block_16_depthwise/depthwise;model/block_15_expand/Conv2D| 55| 56| 57|TIDL_ConvolutionLayer |model/block_15_expand_relu/Relu6;model/block_15_expand_BN/FusedBatchNormV3;model/block_16_depthwise/depthwise;model/block_15_expand/Conv2D|model/block_15_depthwise_relu/Relu6;model/block_15_depthwise_BN/FusedBatchNormV3;model/block_16_depthwise/depthwise;model/block_15_depthwise/depthwise| 56| 57| 58|TIDL_ConvolutionLayer |model/block_15_depthwise_relu/Relu6;model/block_15_depthwise_BN/FusedBatchNormV3;model/block_16_depthwise/depthwise;model/block_15_depthwise/depthwise|model/block_15_project_BN/FusedBatchNormV3;model/block_15_project/Conv2D| 57| 58| 59|TIDL_EltWiseLayer |model/block_14_add/add |model/block_15_add/add | 55| 59| 60|TIDL_ConvolutionLayer |model/block_15_add/add |model/block_16_expand_relu/Relu6;model/block_16_expand_BN/FusedBatchNormV3;model/block_16_depthwise/depthwise;model/block_16_expand/Conv2D| 59| 60| 61|TIDL_ConvolutionLayer |model/block_16_expand_relu/Relu6;model/block_16_expand_BN/FusedBatchNormV3;model/block_16_depthwise/depthwise;model/block_16_expand/Conv2D|model/block_16_depthwise_relu/Relu6;model/block_16_depthwise_BN/FusedBatchNormV3;model/block_16_depthwise/depthwise| 60| 61| 62|TIDL_ConvolutionLayer |model/block_16_depthwise_relu/Relu6;model/block_16_depthwise_BN/FusedBatchNormV3;model/block_16_depthwise/depthwise|model/block_16_project_BN/FusedBatchNormV3;model/block_16_project/Conv2D| 61| 62| 63|TIDL_ConvolutionLayer |model/block_16_project_BN/FusedBatchNormV3;model/block_16_project/Conv2D|model/out_relu/Relu6;model/Conv_1_bn/FusedBatchNormV3;model/Conv_1/Conv2D| 62| 63| 64|TIDL_PoolingLayer |model/out_relu/Relu6;model/Conv_1_bn/FusedBatchNormV3;model/Conv_1/Conv2D|model/global_average_pooling2d/Mean | 63| 64| 65|TIDL_InnerProductLayer |model/global_average_pooling2d/Mean |model/dense/MatMul;model/dense/BiasAdd;model/batch_normalization_154/batchnorm/mul_1;model/tf.nn.relu/Relu;model/batch_normalization_154/batchnorm/add_1| 64| 65| 66|TIDL_InnerProductLayer |model/dense/MatMul;model/dense/BiasAdd;model/batch_normalization_154/batchnorm/mul_1;model/tf.nn.relu/Relu;model/batch_normalization_154/batchnorm/add_1|model/dense_1/MatMul;model/dense_1/BiasAdd | 65| 66| 67|TIDL_SoftMaxLayer |model/dense_1/MatMul;model/dense_1/BiasAdd |StatefulPartitionedCall:0 | 66| 67| 68|TIDL_DataLayer |StatefulPartitionedCall:0 |StatefulPartitionedCall:0 | 67| 0| Completed tidl_optimizeNet Empty prototxt path, running calibration Num of Layer Detected : 69 -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- Num|TIDL Layer Name |Out Data Name |Group |#Ins |#Outs |Inbuf Ids |Outbuf Id |In NCHW |Out NCHW |MACS | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- 0|TIDL_DataLayer |serving_default_input_1:0_original | 0| -1| 1| x x x x x x x x | 0 | 0 0 0 0 | 1 3 224 224 | 0 | 1|TIDL_BatchNormLayer |serving_default_input_1:0 | 0| 1| 1| 0 x x x x x x x | 1 | 1 3 224 224 | 1 3 224 224 | 150528 | 2|TIDL_ConvolutionLayer |V3;model/block_5_project/Conv2D;model/Conv1/Conv2D| 0| 1| 1| 1 x x x x x x x | 2 | 1 3 224 224 | 1 32 112 112 | 10838016 | 3|TIDL_ConvolutionLayer |v_depthwise/depthwise;model/block_5_project/Conv2D| 0| 1| 1| 2 x x x x x x x | 3 | 1 32 112 112 | 1 32 112 112 | 3612672 | 4|TIDL_ConvolutionLayer |usedBatchNormV3;model/expanded_conv_project/Conv2D| 0| 1| 1| 3 x x x x x x x | 4 | 1 32 112 112 | 1 16 112 112 | 6422528 | 5|TIDL_ConvolutionLayer |lock_12_project/Conv2D;model/block_1_expand/Conv2D| 0| 1| 1| 4 x x x x x x x | 5 | 1 16 112 112 | 1 96 112 112 | 19267584 | 6|TIDL_ConvolutionLayer |2_project/Conv2D;model/block_1_depthwise/depthwise| 0| 1| 1| 5 x x x x x x x | 6 | 1 96 112 112 | 1 96 56 56 | 2709504 | 7|TIDL_ConvolutionLayer |lock_2_project/Conv2D;model/block_1_project/Conv2D| 0| 1| 1| 6 x x x x x x x | 7 | 1 96 56 56 | 1 24 56 56 | 7225344 | 8|TIDL_ConvolutionLayer |_3_depthwise/depthwise;model/block_2_expand/Conv2D| 0| 1| 1| 7 x x x x x x x | 8 | 1 24 56 56 | 1 144 56 56 | 10838016 | 9|TIDL_ConvolutionLayer |thwise/depthwise;model/block_2_depthwise/depthwise| 0| 1| 1| 8 x x x x x x x | 9 | 1 144 56 56 | 1 144 56 56 | 4064256 | 10|TIDL_ConvolutionLayer |t_BN/FusedBatchNormV3;model/block_2_project/Conv2D| 0| 1| 1| 9 x x x x x x x | 10 | 1 144 56 56 | 1 24 56 56 | 10838016 | 11|TIDL_EltWiseLayer |model/block_2_add/add | 0| 2| 1| 7 10 x x x x x x | 11 | 1 24 56 56 | 1 24 56 56 | 75264 | 12|TIDL_ConvolutionLayer |_3_depthwise/depthwise;model/block_3_expand/Conv2D| 0| 1| 1| 11 x x x x x x x | 12 | 1 24 56 56 | 1 144 56 56 | 10838016 | 13|TIDL_ConvolutionLayer |FusedBatchNormV3;model/block_3_depthwise/depthwise| 0| 1| 1| 12 x x x x x x x | 13 | 1 144 56 56 | 1 144 28 28 | 1016064 | 14|TIDL_ConvolutionLayer |lock_5_project/Conv2D;model/block_3_project/Conv2D| 0| 1| 1| 13 x x x x x x x | 14 | 1 144 28 28 | 1 32 28 28 | 3612672 | 15|TIDL_ConvolutionLayer |_6_depthwise/depthwise;model/block_4_expand/Conv2D| 0| 1| 1| 14 x x x x x x x | 15 | 1 32 28 28 | 1 192 28 28 | 4816896 | 16|TIDL_ConvolutionLayer |thwise/depthwise;model/block_4_depthwise/depthwise| 0| 1| 1| 15 x x x x x x x | 16 | 1 192 28 28 | 1 192 28 28 | 1354752 | 17|TIDL_ConvolutionLayer |lock_5_project/Conv2D;model/block_4_project/Conv2D| 0| 1| 1| 16 x x x x x x x | 17 | 1 192 28 28 | 1 32 28 28 | 4816896 | 18|TIDL_EltWiseLayer |model/block_4_add/add | 0| 2| 1| 14 17 x x x x x x | 18 | 1 32 28 28 | 1 32 28 28 | 25088 | 19|TIDL_ConvolutionLayer |_6_depthwise/depthwise;model/block_5_expand/Conv2D| 0| 1| 1| 18 x x x x x x x | 19 | 1 32 28 28 | 1 192 28 28 | 4816896 | 20|TIDL_ConvolutionLayer |thwise/depthwise;model/block_5_depthwise/depthwise| 0| 1| 1| 19 x x x x x x x | 20 | 1 192 28 28 | 1 192 28 28 | 1354752 | 21|TIDL_ConvolutionLayer |t_BN/FusedBatchNormV3;model/block_5_project/Conv2D| 0| 1| 1| 20 x x x x x x x | 21 | 1 192 28 28 | 1 32 28 28 | 4816896 | 22|TIDL_EltWiseLayer |model/block_5_add/add | 0| 2| 1| 18 21 x x x x x x | 22 | 1 32 28 28 | 1 32 28 28 | 25088 | 23|TIDL_ConvolutionLayer |_6_depthwise/depthwise;model/block_6_expand/Conv2D| 0| 1| 1| 22 x x x x x x x | 23 | 1 32 28 28 | 1 192 28 28 | 4816896 | 24|TIDL_ConvolutionLayer |FusedBatchNormV3;model/block_6_depthwise/depthwise| 0| 1| 1| 23 x x x x x x x | 24 | 1 192 28 28 | 1 192 14 14 | 338688 | 25|TIDL_ConvolutionLayer |lock_9_project/Conv2D;model/block_6_project/Conv2D| 0| 1| 1| 24 x x x x x x x | 25 | 1 192 14 14 | 1 64 14 14 | 2408448 | 26|TIDL_ConvolutionLayer |10_depthwise/depthwise;model/block_7_expand/Conv2D| 0| 1| 1| 25 x x x x x x x | 26 | 1 64 14 14 | 1 384 14 14 | 4816896 | 27|TIDL_ConvolutionLayer |thwise/depthwise;model/block_7_depthwise/depthwise| 0| 1| 1| 26 x x x x x x x | 27 | 1 384 14 14 | 1 384 14 14 | 677376 | 28|TIDL_ConvolutionLayer |lock_9_project/Conv2D;model/block_7_project/Conv2D| 0| 1| 1| 27 x x x x x x x | 28 | 1 384 14 14 | 1 64 14 14 | 4816896 | 29|TIDL_EltWiseLayer |model/block_7_add/add | 0| 2| 1| 25 28 x x x x x x | 29 | 1 64 14 14 | 1 64 14 14 | 12544 | 30|TIDL_ConvolutionLayer |10_depthwise/depthwise;model/block_8_expand/Conv2D| 0| 1| 1| 29 x x x x x x x | 30 | 1 64 14 14 | 1 384 14 14 | 4816896 | 31|TIDL_ConvolutionLayer |thwise/depthwise;model/block_8_depthwise/depthwise| 0| 1| 1| 30 x x x x x x x | 31 | 1 384 14 14 | 1 384 14 14 | 677376 | 32|TIDL_ConvolutionLayer |lock_9_project/Conv2D;model/block_8_project/Conv2D| 0| 1| 1| 31 x x x x x x x | 32 | 1 384 14 14 | 1 64 14 14 | 4816896 | 33|TIDL_EltWiseLayer |model/block_8_add/add | 0| 2| 1| 29 32 x x x x x x | 33 | 1 64 14 14 | 1 64 14 14 | 12544 | 34|TIDL_ConvolutionLayer |10_depthwise/depthwise;model/block_9_expand/Conv2D| 0| 1| 1| 33 x x x x x x x | 34 | 1 64 14 14 | 1 384 14 14 | 4816896 | 35|TIDL_ConvolutionLayer |thwise/depthwise;model/block_9_depthwise/depthwise| 0| 1| 1| 34 x x x x x x x | 35 | 1 384 14 14 | 1 384 14 14 | 677376 | 36|TIDL_ConvolutionLayer |t_BN/FusedBatchNormV3;model/block_9_project/Conv2D| 0| 1| 1| 35 x x x x x x x | 36 | 1 384 14 14 | 1 64 14 14 | 4816896 | 37|TIDL_EltWiseLayer |model/block_9_add/add | 0| 2| 1| 33 36 x x x x x x | 37 | 1 64 14 14 | 1 64 14 14 | 12544 | 38|TIDL_ConvolutionLayer |0_depthwise/depthwise;model/block_10_expand/Conv2D| 0| 1| 1| 37 x x x x x x x | 38 | 1 64 14 14 | 1 384 14 14 | 4816896 | 39|TIDL_ConvolutionLayer |usedBatchNormV3;model/block_10_depthwise/depthwise| 0| 1| 1| 38 x x x x x x x | 39 | 1 384 14 14 | 1 384 14 14 | 677376 | 40|TIDL_ConvolutionLayer |ck_12_project/Conv2D;model/block_10_project/Conv2D| 0| 1| 1| 39 x x x x x x x | 40 | 1 384 14 14 | 1 96 14 14 | 7225344 | 41|TIDL_ConvolutionLayer |3_depthwise/depthwise;model/block_11_expand/Conv2D| 0| 1| 1| 40 x x x x x x x | 41 | 1 96 14 14 | 1 576 14 14 | 10838016 | 42|TIDL_ConvolutionLayer |hwise/depthwise;model/block_11_depthwise/depthwise| 0| 1| 1| 41 x x x x x x x | 42 | 1 576 14 14 | 1 576 14 14 | 1016064 | 43|TIDL_ConvolutionLayer |ck_12_project/Conv2D;model/block_11_project/Conv2D| 0| 1| 1| 42 x x x x x x x | 43 | 1 576 14 14 | 1 96 14 14 | 10838016 | 44|TIDL_EltWiseLayer |model/block_11_add/add | 0| 2| 1| 40 43 x x x x x x | 44 | 1 96 14 14 | 1 96 14 14 | 18816 | 45|TIDL_ConvolutionLayer |3_depthwise/depthwise;model/block_12_expand/Conv2D| 0| 1| 1| 44 x x x x x x x | 45 | 1 96 14 14 | 1 576 14 14 | 10838016 | 46|TIDL_ConvolutionLayer |hwise/depthwise;model/block_12_depthwise/depthwise| 0| 1| 1| 45 x x x x x x x | 46 | 1 576 14 14 | 1 576 14 14 | 1016064 | 47|TIDL_ConvolutionLayer |_BN/FusedBatchNormV3;model/block_12_project/Conv2D| 0| 1| 1| 46 x x x x x x x | 47 | 1 576 14 14 | 1 96 14 14 | 10838016 | 48|TIDL_EltWiseLayer |model/block_12_add/add | 0| 2| 1| 44 47 x x x x x x | 48 | 1 96 14 14 | 1 96 14 14 | 18816 | 49|TIDL_ConvolutionLayer |3_depthwise/depthwise;model/block_13_expand/Conv2D| 0| 1| 1| 48 x x x x x x x | 49 | 1 96 14 14 | 1 576 14 14 | 10838016 | 50|TIDL_ConvolutionLayer |usedBatchNormV3;model/block_13_depthwise/depthwise| 0| 1| 1| 49 x x x x x x x | 50 | 1 576 14 14 | 1 576 7 7 | 254016 | 51|TIDL_ConvolutionLayer |ck_15_project/Conv2D;model/block_13_project/Conv2D| 0| 1| 1| 50 x x x x x x x | 51 | 1 576 7 7 | 1 160 7 7 | 4515840 | 52|TIDL_ConvolutionLayer |6_depthwise/depthwise;model/block_14_expand/Conv2D| 0| 1| 1| 51 x x x x x x x | 52 | 1 160 7 7 | 1 960 7 7 | 7526400 | 53|TIDL_ConvolutionLayer |hwise/depthwise;model/block_14_depthwise/depthwise| 0| 1| 1| 52 x x x x x x x | 53 | 1 960 7 7 | 1 960 7 7 | 423360 | 54|TIDL_ConvolutionLayer |ck_15_project/Conv2D;model/block_14_project/Conv2D| 0| 1| 1| 53 x x x x x x x | 54 | 1 960 7 7 | 1 160 7 7 | 7526400 | 55|TIDL_EltWiseLayer |model/block_14_add/add | 0| 2| 1| 51 54 x x x x x x | 55 | 1 160 7 7 | 1 160 7 7 | 7840 | 56|TIDL_ConvolutionLayer |6_depthwise/depthwise;model/block_15_expand/Conv2D| 0| 1| 1| 55 x x x x x x x | 56 | 1 160 7 7 | 1 960 7 7 | 7526400 | 57|TIDL_ConvolutionLayer |hwise/depthwise;model/block_15_depthwise/depthwise| 0| 1| 1| 56 x x x x x x x | 57 | 1 960 7 7 | 1 960 7 7 | 423360 | 58|TIDL_ConvolutionLayer |_BN/FusedBatchNormV3;model/block_15_project/Conv2D| 0| 1| 1| 57 x x x x x x x | 58 | 1 960 7 7 | 1 160 7 7 | 7526400 | 59|TIDL_EltWiseLayer |model/block_15_add/add | 0| 2| 1| 55 58 x x x x x x | 59 | 1 160 7 7 | 1 160 7 7 | 7840 | 60|TIDL_ConvolutionLayer |6_depthwise/depthwise;model/block_16_expand/Conv2D| 0| 1| 1| 59 x x x x x x x | 60 | 1 160 7 7 | 1 960 7 7 | 7526400 | 61|TIDL_ConvolutionLayer |usedBatchNormV3;model/block_16_depthwise/depthwise| 0| 1| 1| 60 x x x x x x x | 61 | 1 960 7 7 | 1 960 7 7 | 423360 | 62|TIDL_ConvolutionLayer |_BN/FusedBatchNormV3;model/block_16_project/Conv2D| 0| 1| 1| 61 x x x x x x x | 62 | 1 960 7 7 | 1 320 7 7 | 15052800 | 63|TIDL_ConvolutionLayer |del/Conv_1_bn/FusedBatchNormV3;model/Conv_1/Conv2D| 0| 1| 1| 62 x x x x x x x | 63 | 1 320 7 7 | 1 1280 7 7 | 20070400 | 64|TIDL_PoolingLayer |model/global_average_pooling2d/Mean | 0| 1| 1| 63 x x x x x x x | 64 | 1 1280 7 7 | 1 1 1 1280 | 1280 | 65|TIDL_InnerProductLayer |Relu;model/batch_normalization_154/batchnorm/add_1| 0| 1| 1| 64 x x x x x x x | 65 | 1 1 1 1280 | 1 1 1 100 | 128100 | 66|TIDL_InnerProductLayer |model/dense_1/MatMul;model/dense_1/BiasAdd | 0| 1| 1| 65 x x x x x x x | 66 | 1 1 1 100 | 1 1 1 2 | 202 | 67|TIDL_SoftMaxLayer |StatefulPartitionedCall:0 | 0| 1| 1| 66 x x x x x x x | 67 | 1 1 1 2 | 1 1 1 2 | 2 | 68|TIDL_DataLayer |StatefulPartitionedCall:0 | 0| 1| -1| 67 x x x x x x x | 0 | 1 1 1 2 | 0 0 0 0 | 0 | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- Total Giga Macs : 0.3000 -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- Num of Layer Detected : 69 -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- Num|TIDL Layer Name |Out Data Name |Group |#Ins |#Outs |Inbuf Ids |Outbuf Id |In NCHW |Out NCHW |MACS | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- 0|TIDL_DataLayer |serving_default_input_1:0_original | 0| -1| 1| x x x x x x x x | 0 | 0 0 0 0 | 1 3 224 224 | 0 | 1|TIDL_BatchNormLayer |serving_default_input_1:0 | 0| 1| 1| 0 x x x x x x x | 1 | 1 3 224 224 | 1 3 224 224 | 150528 | 2|TIDL_ConvolutionLayer |V3;model/block_5_project/Conv2D;model/Conv1/Conv2D| 0| 1| 1| 1 x x x x x x x | 2 | 1 3 224 224 | 1 32 112 112 | 10838016 | 3|TIDL_ConvolutionLayer |v_depthwise/depthwise;model/block_5_project/Conv2D| 0| 1| 1| 2 x x x x x x x | 3 | 1 32 112 112 | 1 32 112 112 | 3612672 | 4|TIDL_ConvolutionLayer |usedBatchNormV3;model/expanded_conv_project/Conv2D| 0| 1| 1| 3 x x x x x x x | 4 | 1 32 112 112 | 1 16 112 112 | 6422528 | 5|TIDL_ConvolutionLayer |lock_12_project/Conv2D;model/block_1_expand/Conv2D| 0| 1| 1| 4 x x x x x x x | 5 | 1 16 112 112 | 1 96 112 112 | 19267584 | 6|TIDL_ConvolutionLayer |2_project/Conv2D;model/block_1_depthwise/depthwise| 0| 1| 1| 5 x x x x x x x | 6 | 1 96 112 112 | 1 96 56 56 | 2709504 | 7|TIDL_ConvolutionLayer |lock_2_project/Conv2D;model/block_1_project/Conv2D| 0| 1| 1| 6 x x x x x x x | 7 | 1 96 56 56 | 1 24 56 56 | 7225344 | 8|TIDL_ConvolutionLayer |_3_depthwise/depthwise;model/block_2_expand/Conv2D| 0| 1| 1| 7 x x x x x x x | 8 | 1 24 56 56 | 1 144 56 56 | 10838016 | 9|TIDL_ConvolutionLayer |thwise/depthwise;model/block_2_depthwise/depthwise| 0| 1| 1| 8 x x x x x x x | 9 | 1 144 56 56 | 1 144 56 56 | 4064256 | 10|TIDL_ConvolutionLayer |t_BN/FusedBatchNormV3;model/block_2_project/Conv2D| 0| 1| 1| 9 x x x x x x x | 10 | 1 144 56 56 | 1 24 56 56 | 10838016 | 11|TIDL_EltWiseLayer |model/block_2_add/add | 0| 2| 1| 7 10 x x x x x x | 11 | 1 24 56 56 | 1 24 56 56 | 75264 | 12|TIDL_ConvolutionLayer |_3_depthwise/depthwise;model/block_3_expand/Conv2D| 0| 1| 1| 11 x x x x x x x | 12 | 1 24 56 56 | 1 144 56 56 | 10838016 | 13|TIDL_ConvolutionLayer |FusedBatchNormV3;model/block_3_depthwise/depthwise| 0| 1| 1| 12 x x x x x x x | 13 | 1 144 56 56 | 1 144 28 28 | 1016064 | 14|TIDL_ConvolutionLayer |lock_5_project/Conv2D;model/block_3_project/Conv2D| 0| 1| 1| 13 x x x x x x x | 14 | 1 144 28 28 | 1 32 28 28 | 3612672 | 15|TIDL_ConvolutionLayer |_6_depthwise/depthwise;model/block_4_expand/Conv2D| 0| 1| 1| 14 x x x x x x x | 15 | 1 32 28 28 | 1 192 28 28 | 4816896 | 16|TIDL_ConvolutionLayer |thwise/depthwise;model/block_4_depthwise/depthwise| 0| 1| 1| 15 x x x x x x x | 16 | 1 192 28 28 | 1 192 28 28 | 1354752 | 17|TIDL_ConvolutionLayer |lock_5_project/Conv2D;model/block_4_project/Conv2D| 0| 1| 1| 16 x x x x x x x | 17 | 1 192 28 28 | 1 32 28 28 | 4816896 | 18|TIDL_EltWiseLayer |model/block_4_add/add | 0| 2| 1| 14 17 x x x x x x | 18 | 1 32 28 28 | 1 32 28 28 | 25088 | 19|TIDL_ConvolutionLayer |_6_depthwise/depthwise;model/block_5_expand/Conv2D| 0| 1| 1| 18 x x x x x x x | 19 | 1 32 28 28 | 1 192 28 28 | 4816896 | 20|TIDL_ConvolutionLayer |thwise/depthwise;model/block_5_depthwise/depthwise| 0| 1| 1| 19 x x x x x x x | 20 | 1 192 28 28 | 1 192 28 28 | 1354752 | 21|TIDL_ConvolutionLayer |t_BN/FusedBatchNormV3;model/block_5_project/Conv2D| 0| 1| 1| 20 x x x x x x x | 21 | 1 192 28 28 | 1 32 28 28 | 4816896 | 22|TIDL_EltWiseLayer |model/block_5_add/add | 0| 2| 1| 18 21 x x x x x x | 22 | 1 32 28 28 | 1 32 28 28 | 25088 | 23|TIDL_ConvolutionLayer |_6_depthwise/depthwise;model/block_6_expand/Conv2D| 0| 1| 1| 22 x x x x x x x | 23 | 1 32 28 28 | 1 192 28 28 | 4816896 | 24|TIDL_ConvolutionLayer |FusedBatchNormV3;model/block_6_depthwise/depthwise| 0| 1| 1| 23 x x x x x x x | 24 | 1 192 28 28 | 1 192 14 14 | 338688 | 25|TIDL_ConvolutionLayer |lock_9_project/Conv2D;model/block_6_project/Conv2D| 0| 1| 1| 24 x x x x x x x | 25 | 1 192 14 14 | 1 64 14 14 | 2408448 | 26|TIDL_ConvolutionLayer |10_depthwise/depthwise;model/block_7_expand/Conv2D| 0| 1| 1| 25 x x x x x x x | 26 | 1 64 14 14 | 1 384 14 14 | 4816896 | 27|TIDL_ConvolutionLayer |thwise/depthwise;model/block_7_depthwise/depthwise| 0| 1| 1| 26 x x x x x x x | 27 | 1 384 14 14 | 1 384 14 14 | 677376 | 28|TIDL_ConvolutionLayer |lock_9_project/Conv2D;model/block_7_project/Conv2D| 0| 1| 1| 27 x x x x x x x | 28 | 1 384 14 14 | 1 64 14 14 | 4816896 | 29|TIDL_EltWiseLayer |model/block_7_add/add | 0| 2| 1| 25 28 x x x x x x | 29 | 1 64 14 14 | 1 64 14 14 | 12544 | 30|TIDL_ConvolutionLayer |10_depthwise/depthwise;model/block_8_expand/Conv2D| 0| 1| 1| 29 x x x x x x x | 30 | 1 64 14 14 | 1 384 14 14 | 4816896 | 31|TIDL_ConvolutionLayer |thwise/depthwise;model/block_8_depthwise/depthwise| 0| 1| 1| 30 x x x x x x x | 31 | 1 384 14 14 | 1 384 14 14 | 677376 | 32|TIDL_ConvolutionLayer |lock_9_project/Conv2D;model/block_8_project/Conv2D| 0| 1| 1| 31 x x x x x x x | 32 | 1 384 14 14 | 1 64 14 14 | 4816896 | 33|TIDL_EltWiseLayer |model/block_8_add/add | 0| 2| 1| 29 32 x x x x x x | 33 | 1 64 14 14 | 1 64 14 14 | 12544 | 34|TIDL_ConvolutionLayer |10_depthwise/depthwise;model/block_9_expand/Conv2D| 0| 1| 1| 33 x x x x x x x | 34 | 1 64 14 14 | 1 384 14 14 | 4816896 | 35|TIDL_ConvolutionLayer |thwise/depthwise;model/block_9_depthwise/depthwise| 0| 1| 1| 34 x x x x x x x | 35 | 1 384 14 14 | 1 384 14 14 | 677376 | 36|TIDL_ConvolutionLayer |t_BN/FusedBatchNormV3;model/block_9_project/Conv2D| 0| 1| 1| 35 x x x x x x x | 36 | 1 384 14 14 | 1 64 14 14 | 4816896 | 37|TIDL_EltWiseLayer |model/block_9_add/add | 0| 2| 1| 33 36 x x x x x x | 37 | 1 64 14 14 | 1 64 14 14 | 12544 | 38|TIDL_ConvolutionLayer |0_depthwise/depthwise;model/block_10_expand/Conv2D| 0| 1| 1| 37 x x x x x x x | 38 | 1 64 14 14 | 1 384 14 14 | 4816896 | 39|TIDL_ConvolutionLayer |usedBatchNormV3;model/block_10_depthwise/depthwise| 0| 1| 1| 38 x x x x x x x | 39 | 1 384 14 14 | 1 384 14 14 | 677376 | 40|TIDL_ConvolutionLayer |ck_12_project/Conv2D;model/block_10_project/Conv2D| 0| 1| 1| 39 x x x x x x x | 40 | 1 384 14 14 | 1 96 14 14 | 7225344 | 41|TIDL_ConvolutionLayer |3_depthwise/depthwise;model/block_11_expand/Conv2D| 0| 1| 1| 40 x x x x x x x | 41 | 1 96 14 14 | 1 576 14 14 | 10838016 | 42|TIDL_ConvolutionLayer |hwise/depthwise;model/block_11_depthwise/depthwise| 0| 1| 1| 41 x x x x x x x | 42 | 1 576 14 14 | 1 576 14 14 | 1016064 | 43|TIDL_ConvolutionLayer |ck_12_project/Conv2D;model/block_11_project/Conv2D| 0| 1| 1| 42 x x x x x x x | 43 | 1 576 14 14 | 1 96 14 14 | 10838016 | 44|TIDL_EltWiseLayer |model/block_11_add/add | 0| 2| 1| 40 43 x x x x x x | 44 | 1 96 14 14 | 1 96 14 14 | 18816 | 45|TIDL_ConvolutionLayer |3_depthwise/depthwise;model/block_12_expand/Conv2D| 0| 1| 1| 44 x x x x x x x | 45 | 1 96 14 14 | 1 576 14 14 | 10838016 | 46|TIDL_ConvolutionLayer |hwise/depthwise;model/block_12_depthwise/depthwise| 0| 1| 1| 45 x x x x x x x | 46 | 1 576 14 14 | 1 576 14 14 | 1016064 | 47|TIDL_ConvolutionLayer |_BN/FusedBatchNormV3;model/block_12_project/Conv2D| 0| 1| 1| 46 x x x x x x x | 47 | 1 576 14 14 | 1 96 14 14 | 10838016 | 48|TIDL_EltWiseLayer |model/block_12_add/add | 0| 2| 1| 44 47 x x x x x x | 48 | 1 96 14 14 | 1 96 14 14 | 18816 | 49|TIDL_ConvolutionLayer |3_depthwise/depthwise;model/block_13_expand/Conv2D| 0| 1| 1| 48 x x x x x x x | 49 | 1 96 14 14 | 1 576 14 14 | 10838016 | 50|TIDL_ConvolutionLayer |usedBatchNormV3;model/block_13_depthwise/depthwise| 0| 1| 1| 49 x x x x x x x | 50 | 1 576 14 14 | 1 576 7 7 | 254016 | 51|TIDL_ConvolutionLayer |ck_15_project/Conv2D;model/block_13_project/Conv2D| 0| 1| 1| 50 x x x x x x x | 51 | 1 576 7 7 | 1 160 7 7 | 4515840 | 52|TIDL_ConvolutionLayer |6_depthwise/depthwise;model/block_14_expand/Conv2D| 0| 1| 1| 51 x x x x x x x | 52 | 1 160 7 7 | 1 960 7 7 | 7526400 | 53|TIDL_ConvolutionLayer |hwise/depthwise;model/block_14_depthwise/depthwise| 0| 1| 1| 52 x x x x x x x | 53 | 1 960 7 7 | 1 960 7 7 | 423360 | 54|TIDL_ConvolutionLayer |ck_15_project/Conv2D;model/block_14_project/Conv2D| 0| 1| 1| 53 x x x x x x x | 54 | 1 960 7 7 | 1 160 7 7 | 7526400 | 55|TIDL_EltWiseLayer |model/block_14_add/add | 0| 2| 1| 51 54 x x x x x x | 55 | 1 160 7 7 | 1 160 7 7 | 7840 | 56|TIDL_ConvolutionLayer |6_depthwise/depthwise;model/block_15_expand/Conv2D| 0| 1| 1| 55 x x x x x x x | 56 | 1 160 7 7 | 1 960 7 7 | 7526400 | 57|TIDL_ConvolutionLayer |hwise/depthwise;model/block_15_depthwise/depthwise| 0| 1| 1| 56 x x x x x x x | 57 | 1 960 7 7 | 1 960 7 7 | 423360 | 58|TIDL_ConvolutionLayer |_BN/FusedBatchNormV3;model/block_15_project/Conv2D| 0| 1| 1| 57 x x x x x x x | 58 | 1 960 7 7 | 1 160 7 7 | 7526400 | 59|TIDL_EltWiseLayer |model/block_15_add/add | 0| 2| 1| 55 58 x x x x x x | 59 | 1 160 7 7 | 1 160 7 7 | 7840 | 60|TIDL_ConvolutionLayer |6_depthwise/depthwise;model/block_16_expand/Conv2D| 0| 1| 1| 59 x x x x x x x | 60 | 1 160 7 7 | 1 960 7 7 | 7526400 | 61|TIDL_ConvolutionLayer |usedBatchNormV3;model/block_16_depthwise/depthwise| 0| 1| 1| 60 x x x x x x x | 61 | 1 960 7 7 | 1 960 7 7 | 423360 | 62|TIDL_ConvolutionLayer |_BN/FusedBatchNormV3;model/block_16_project/Conv2D| 0| 1| 1| 61 x x x x x x x | 62 | 1 960 7 7 | 1 320 7 7 | 15052800 | 63|TIDL_ConvolutionLayer |del/Conv_1_bn/FusedBatchNormV3;model/Conv_1/Conv2D| 0| 1| 1| 62 x x x x x x x | 63 | 1 320 7 7 | 1 1280 7 7 | 20070400 | 64|TIDL_PoolingLayer |model/global_average_pooling2d/Mean | 0| 1| 1| 63 x x x x x x x | 64 | 1 1280 7 7 | 1 1 1 1280 | 1280 | 65|TIDL_InnerProductLayer |Relu;model/batch_normalization_154/batchnorm/add_1| 0| 1| 1| 64 x x x x x x x | 65 | 1 1 1 1280 | 1 1 1 100 | 128100 | 66|TIDL_InnerProductLayer |model/dense_1/MatMul;model/dense_1/BiasAdd | 0| 1| 1| 65 x x x x x x x | 66 | 1 1 1 100 | 1 1 1 2 | 202 | 67|TIDL_SoftMaxLayer |StatefulPartitionedCall:0 | 0| 1| 1| 66 x x x x x x x | 67 | 1 1 1 2 | 1 1 1 2 | 2 | 68|TIDL_DataLayer |StatefulPartitionedCall:0 | 0| 1| -1| 67 x x x x x x x | 0 | 1 1 1 2 | 0 0 0 0 | 0 | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- Total Giga Macs : 0.3000 -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- ~~~~~Running TIDL in PC emulation mode to collect Activations range for each layer~~~~~ cd /home/users/mms00591/tisdk/ti-processor-sdk-rtos-j721e-evm-09_00_01_01/c7x-mma-tidl/ti_dl/test && ./PC_dsp_test_dl_algo.out s:/home/users/mms00591/tisdk/ti-processor-sdk-rtos-j721e-evm-09_00_01_01/c7x-mma-tidl/ti_dl/test/testvecs/out/quant_model/quant_mobilenet_v2.txt.qunat_stats_config.txt Processing config file #0 : /home/users/mms00591/tisdk/ti-processor-sdk-rtos-j721e-evm-09_00_01_01/c7x-mma-tidl/ti_dl/test/testvecs/out/quant_model/quant_mobilenet_v2.txt.qunat_stats_config.txt Input : dataId=0, name=serving_default_input_1:0_original, elementType 6, scale=1.000000, zero point=0, layout=1 Ouput : dataId=67, name=StatefulPartitionedCall:0, elementType 6, scale=1.000000, zero point=0, layout=1 worstCaseDelay for Pre-emption is 0.0000000 Freeing memory for user provided Net Instance created for /home/users/mms00591/tisdk/ti-processor-sdk-rtos-j721e-evm-09_00_01_01/c7x-mma-tidl/ti_dl/test/testvecs/out/quant_model/quant_mobilenet_v2.txt.qunat_stats_config.txt ----------------------- TIDL Process with REF_ONLY FLOW ------------------------ # 0 . .. 0 1.00000 10.00000 254.00000 6 1 1.00000 -118.00000 126.00000 6 2 1.00000 0.00000 6.00000 6 3 1.00000 0.00000 6.00000 6 4 1.00000 -42.38116 47.43107 6 5 1.00000 0.00000 6.00000 6 6 1.00000 0.00000 6.00000 6 7 1.00000 -34.89307 27.23265 6 8 1.00000 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A : 1, 0.0000, 1.0000, 0 .... ..... # 1 . .. 0 1.00000 6.00000 238.00000 6 1 1.00000 -122.00000 110.00000 6 2 1.00000 0.00000 6.00000 6 3 1.00000 0.00000 6.00000 6 4 1.00000 -56.83550 47.43107 6 5 1.00000 0.00000 6.00000 6 6 1.00000 0.00000 6.00000 6 7 1.00000 -34.89307 33.39328 6 8 1.00000 0.00000 6.00000 6 9 1.00000 0.00000 6.00000 6 10 1.00000 -44.14635 30.28357 6 11 1.00000 -47.62183 42.27164 6 12 1.00000 0.00000 6.00000 6 13 1.00000 0.00000 6.00000 6 14 1.00000 -30.91902 29.01117 6 15 1.00000 0.00000 6.00000 6 16 1.00000 0.00000 6.00000 6 17 1.00000 -20.43439 24.35698 6 18 1.00000 -30.51571 36.35632 6 19 1.00000 0.00000 6.00000 6 20 1.00000 0.00000 6.00000 6 21 1.00000 -24.78173 18.32861 6 22 1.00000 -32.71653 39.62926 6 23 1.00000 0.00000 6.00000 6 24 1.00000 0.00000 6.00000 6 25 1.00000 -24.41302 21.62696 6 26 1.00000 0.00000 6.00000 6 27 1.00000 0.00000 6.00000 6 28 1.00000 -13.58287 19.01459 6 29 1.00000 -25.02938 21.29889 6 30 1.00000 0.00000 6.00000 6 31 1.00000 0.00000 6.00000 6 32 1.00000 -13.90108 16.95432 6 33 1.00000 -25.31912 24.92186 6 34 1.00000 0.00000 5.61877 6 35 1.00000 0.00000 6.00000 6 36 1.00000 -9.13276 9.71373 6 37 1.00000 -24.00728 23.94157 6 38 1.00000 0.00000 6.00000 6 39 1.00000 0.00000 6.00000 6 40 1.00000 -15.53822 13.09085 6 41 1.00000 0.00000 5.33918 6 42 1.00000 0.00000 6.00000 6 43 1.00000 -9.22113 6.48220 6 44 1.00000 -15.94719 12.69633 6 45 1.00000 0.00000 4.86096 6 46 1.00000 0.00000 6.00000 6 47 1.00000 -18.14042 12.37702 6 48 1.00000 -16.54464 15.00827 6 49 1.00000 0.00000 5.83915 6 50 1.00000 0.00000 5.95979 6 51 1.00000 -11.39833 11.78409 6 52 1.00000 0.00000 6.00000 6 53 1.00000 0.00000 5.90497 6 54 1.00000 -8.38301 6.46141 6 55 1.00000 -16.03459 12.23524 6 56 1.00000 0.00000 6.00000 6 57 1.00000 0.00000 3.81270 6 58 1.00000 -14.06860 10.74908 6 59 1.00000 -18.75942 15.33105 6 60 1.00000 0.00000 5.64081 6 61 1.00000 0.00000 6.00000 6 62 1.00000 -6.14268 6.22134 6 63 1.00000 0.00000 6.00000 6 64 1.00000 0.00000 3.45649 6 65 1.00000 0.00000 0.64553 6 66 1.00000 -0.75832 1.02371 6 67 1.00000 0.14405 0.85595 6 T 776.62 .... ..... ... A : 0, 0.5000, 1.0000, 0 .... .....Warning :: Weight Scale Clipped - 1.94, 239.13, 123.40, 1, 1, 8, model/block_2_expand_relu/Relu6;model/block_2_expand_BN/FusedBatchNormV3;model/block_3_depthwise/depthwise;model/block_2_expand/Conv2D Warning :: Weight Scale Clipped - 1.42, 35.43, 24.91, 0, 0, 10, model/block_2_project_BN/FusedBatchNormV3;model/block_2_project/Conv2D Warning :: Weight Scale Clipped - 1.71, 280.96, 164.44, 1, 1, 12, model/block_3_expand_relu/Relu6;model/block_3_expand_BN/FusedBatchNormV3;model/block_3_depthwise/depthwise;model/block_3_expand/Conv2D Warning :: Weight Scale Clipped - 1.67, 53.59, 32.00, 0, 1, 13, model/block_3_depthwise_relu/Relu6;model/block_3_depthwise_BN/FusedBatchNormV3;model/block_3_depthwise/depthwise Warning :: Weight Scale Clipped - 1.16, 52.19, 44.87, 0, 0, 14, model/block_3_project_BN/FusedBatchNormV3;model/block_5_project/Conv2D;model/block_3_project/Conv2D Warning :: Weight Scale Clipped - 1.77, 645.92, 365.12, 1, 1, 19, model/block_5_expand_relu/Relu6;model/block_5_expand_BN/FusedBatchNormV3;model/block_6_depthwise/depthwise;model/block_5_expand/Conv2D Warning :: Weight Scale Clipped - 1.12, 54.09, 48.41, 0, 0, 21, model/block_5_project_BN/FusedBatchNormV3;model/block_5_project/Conv2D Warning :: Weight Scale Clipped - 1.59, 59.78, 37.58, 0, 0, 25, model/block_6_project_BN/FusedBatchNormV3;model/block_9_project/Conv2D;model/block_6_project/Conv2D Warning :: Weight Scale Clipped - 1.66, 13.25, 8.00, 0, 1, 27, model/block_7_depthwise_relu/Relu6;model/block_7_depthwise_BN/FusedBatchNormV3;model/block_10_depthwise/depthwise;model/block_7_depthwise/depthwise Warning :: Weight Scale Clipped - 1.77, 771.38, 435.93, 1, 1, 34, model/block_9_expand_relu/Relu6;model/block_9_expand_BN/FusedBatchNormV3;model/block_10_depthwise/depthwise;model/block_9_expand/Conv2D Warning :: Weight Scale Clipped - 1.79, 28.60, 16.00, 0, 1, 39, model/block_10_depthwise_relu/Relu6;model/block_10_depthwise_BN/FusedBatchNormV3;model/block_10_depthwise/depthwise Warning :: Weight Scale Clipped - 1.83, 133.25, 72.75, 0, 0, 40, model/block_10_project_BN/FusedBatchNormV3;model/block_12_project/Conv2D;model/block_10_project/Conv2D Warning :: Weight Scale Clipped - 1.58, 118.98, 75.27, 0, 0, 43, model/block_11_project_BN/FusedBatchNormV3;model/block_12_project/Conv2D;model/block_11_project/Conv2D Warning :: Weight Scale Clipped - 1.61, 51.63, 32.00, 0, 1, 50, model/block_13_depthwise_relu/Relu6;model/block_13_depthwise_BN/FusedBatchNormV3;model/block_13_depthwise/depthwise Warning :: Weight Scale Clipped - 1.82, 103.45, 56.80, 0, 0, 51, model/block_13_project_BN/FusedBatchNormV3;model/block_15_project/Conv2D;model/block_13_project/Conv2D Warning :: Weight Scale Clipped - 1.60, 462.47, 288.44, 1, 1, 52, model/block_14_expand_relu/Relu6;model/block_14_expand_BN/FusedBatchNormV3;model/block_16_depthwise/depthwise;model/block_14_expand/Conv2D Warning :: Tensorscale value is not met for the relu6/Clip Activation - 52 Warning :: Weight Scale Clipped - 1.57, 12.54, 8.00, 0, 1, 53, model/block_14_depthwise_relu/Relu6;model/block_14_depthwise_BN/FusedBatchNormV3;model/block_16_depthwise/depthwise;model/block_14_depthwise/depthwise Warning :: Weight Scale Clipped - 1.10, 129.94, 118.57, 0, 0, 54, model/block_14_project_BN/FusedBatchNormV3;model/block_15_project/Conv2D;model/block_14_project/Conv2D Warning :: Tensorscale value is not met for the relu6/Clip Activation - 56 Warning :: Weight Scale Clipped - 2.32, 184.84, 79.72, 0, 0, 62, model/block_16_project_BN/FusedBatchNormV3;model/block_16_project/Conv2D Warning :: Weight Scale Clipped - 1.73, 177.31, 102.76, 1, 1, 63, model/out_relu/Relu6;model/Conv_1_bn/FusedBatchNormV3;model/Conv_1/Conv2D Num of Layer Detected : 69 -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- Num|TIDL Layer Name |Out Data Name |Group |#Ins |#Outs |Inbuf Ids |Outbuf Id |In NCHW |Out NCHW |MACS | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- 0|TIDL_DataLayer |serving_default_input_1:0_original | 0| -1| 1| x x x x x x x x | 0 | 0 0 0 0 | 1 3 224 224 | 0 | 1|TIDL_BatchNormLayer |serving_default_input_1:0 | 0| 1| 1| 0 x x x x x x x | 1 | 1 3 224 224 | 1 3 224 224 | 150528 | 2|TIDL_ConvolutionLayer |V3;model/block_5_project/Conv2D;model/Conv1/Conv2D| 0| 1| 1| 1 x x x x x x x | 2 | 1 3 224 224 | 1 32 112 112 | 10838016 | 3|TIDL_ConvolutionLayer |v_depthwise/depthwise;model/block_5_project/Conv2D| 0| 1| 1| 2 x x x x x x x | 3 | 1 32 112 112 | 1 32 112 112 | 3612672 | 4|TIDL_ConvolutionLayer |usedBatchNormV3;model/expanded_conv_project/Conv2D| 0| 1| 1| 3 x x x x x x x | 4 | 1 32 112 112 | 1 16 112 112 | 6422528 | 5|TIDL_ConvolutionLayer |lock_12_project/Conv2D;model/block_1_expand/Conv2D| 0| 1| 1| 4 x x x x x x x | 5 | 1 16 112 112 | 1 96 112 112 | 19267584 | 6|TIDL_ConvolutionLayer |2_project/Conv2D;model/block_1_depthwise/depthwise| 0| 1| 1| 5 x x x x x x x | 6 | 1 96 112 112 | 1 96 56 56 | 2709504 | 7|TIDL_ConvolutionLayer |lock_2_project/Conv2D;model/block_1_project/Conv2D| 0| 1| 1| 6 x x x x x x x | 7 | 1 96 56 56 | 1 24 56 56 | 7225344 | 8|TIDL_ConvolutionLayer |_3_depthwise/depthwise;model/block_2_expand/Conv2D| 0| 1| 1| 7 x x x x x x x | 8 | 1 24 56 56 | 1 144 56 56 | 10838016 | 9|TIDL_ConvolutionLayer |thwise/depthwise;model/block_2_depthwise/depthwise| 0| 1| 1| 8 x x x x x x x | 9 | 1 144 56 56 | 1 144 56 56 | 4064256 | 10|TIDL_ConvolutionLayer |t_BN/FusedBatchNormV3;model/block_2_project/Conv2D| 0| 1| 1| 9 x x x x x x x | 10 | 1 144 56 56 | 1 24 56 56 | 10838016 | 11|TIDL_EltWiseLayer |model/block_2_add/add | 0| 2| 1| 7 10 x x x x x x | 11 | 1 24 56 56 | 1 24 56 56 | 75264 | 12|TIDL_ConvolutionLayer |_3_depthwise/depthwise;model/block_3_expand/Conv2D| 0| 1| 1| 11 x x x x x x x | 12 | 1 24 56 56 | 1 144 56 56 | 10838016 | 13|TIDL_ConvolutionLayer |FusedBatchNormV3;model/block_3_depthwise/depthwise| 0| 1| 1| 12 x x x x x x x | 13 | 1 144 56 56 | 1 144 28 28 | 1016064 | 14|TIDL_ConvolutionLayer |lock_5_project/Conv2D;model/block_3_project/Conv2D| 0| 1| 1| 13 x x x x x x x | 14 | 1 144 28 28 | 1 32 28 28 | 3612672 | 15|TIDL_ConvolutionLayer |_6_depthwise/depthwise;model/block_4_expand/Conv2D| 0| 1| 1| 14 x x x x x x x | 15 | 1 32 28 28 | 1 192 28 28 | 4816896 | 16|TIDL_ConvolutionLayer |thwise/depthwise;model/block_4_depthwise/depthwise| 0| 1| 1| 15 x x x x x x x | 16 | 1 192 28 28 | 1 192 28 28 | 1354752 | 17|TIDL_ConvolutionLayer |lock_5_project/Conv2D;model/block_4_project/Conv2D| 0| 1| 1| 16 x x x x x x x | 17 | 1 192 28 28 | 1 32 28 28 | 4816896 | 18|TIDL_EltWiseLayer |model/block_4_add/add | 0| 2| 1| 14 17 x x x x x x | 18 | 1 32 28 28 | 1 32 28 28 | 25088 | 19|TIDL_ConvolutionLayer |_6_depthwise/depthwise;model/block_5_expand/Conv2D| 0| 1| 1| 18 x x x x x x x | 19 | 1 32 28 28 | 1 192 28 28 | 4816896 | 20|TIDL_ConvolutionLayer |thwise/depthwise;model/block_5_depthwise/depthwise| 0| 1| 1| 19 x x x x x x x | 20 | 1 192 28 28 | 1 192 28 28 | 1354752 | 21|TIDL_ConvolutionLayer |t_BN/FusedBatchNormV3;model/block_5_project/Conv2D| 0| 1| 1| 20 x x x x x x x | 21 | 1 192 28 28 | 1 32 28 28 | 4816896 | 22|TIDL_EltWiseLayer |model/block_5_add/add | 0| 2| 1| 18 21 x x x x x x | 22 | 1 32 28 28 | 1 32 28 28 | 25088 | 23|TIDL_ConvolutionLayer |_6_depthwise/depthwise;model/block_6_expand/Conv2D| 0| 1| 1| 22 x x x x x x x | 23 | 1 32 28 28 | 1 192 28 28 | 4816896 | 24|TIDL_ConvolutionLayer |FusedBatchNormV3;model/block_6_depthwise/depthwise| 0| 1| 1| 23 x x x x x x x | 24 | 1 192 28 28 | 1 192 14 14 | 338688 | 25|TIDL_ConvolutionLayer |lock_9_project/Conv2D;model/block_6_project/Conv2D| 0| 1| 1| 24 x x x x x x x | 25 | 1 192 14 14 | 1 64 14 14 | 2408448 | 26|TIDL_ConvolutionLayer |10_depthwise/depthwise;model/block_7_expand/Conv2D| 0| 1| 1| 25 x x x x x x x | 26 | 1 64 14 14 | 1 384 14 14 | 4816896 | 27|TIDL_ConvolutionLayer |thwise/depthwise;model/block_7_depthwise/depthwise| 0| 1| 1| 26 x x x x x x x | 27 | 1 384 14 14 | 1 384 14 14 | 677376 | 28|TIDL_ConvolutionLayer |lock_9_project/Conv2D;model/block_7_project/Conv2D| 0| 1| 1| 27 x x x x x x x | 28 | 1 384 14 14 | 1 64 14 14 | 4816896 | 29|TIDL_EltWiseLayer |model/block_7_add/add | 0| 2| 1| 25 28 x x x x x x | 29 | 1 64 14 14 | 1 64 14 14 | 12544 | 30|TIDL_ConvolutionLayer |10_depthwise/depthwise;model/block_8_expand/Conv2D| 0| 1| 1| 29 x x x x x x x | 30 | 1 64 14 14 | 1 384 14 14 | 4816896 | 31|TIDL_ConvolutionLayer |thwise/depthwise;model/block_8_depthwise/depthwise| 0| 1| 1| 30 x x x x x x x | 31 | 1 384 14 14 | 1 384 14 14 | 677376 | 32|TIDL_ConvolutionLayer |lock_9_project/Conv2D;model/block_8_project/Conv2D| 0| 1| 1| 31 x x x x x x x | 32 | 1 384 14 14 | 1 64 14 14 | 4816896 | 33|TIDL_EltWiseLayer |model/block_8_add/add | 0| 2| 1| 29 32 x x x x x x | 33 | 1 64 14 14 | 1 64 14 14 | 12544 | 34|TIDL_ConvolutionLayer |10_depthwise/depthwise;model/block_9_expand/Conv2D| 0| 1| 1| 33 x x x x x x x | 34 | 1 64 14 14 | 1 384 14 14 | 4816896 | 35|TIDL_ConvolutionLayer |thwise/depthwise;model/block_9_depthwise/depthwise| 0| 1| 1| 34 x x x x x x x | 35 | 1 384 14 14 | 1 384 14 14 | 677376 | 36|TIDL_ConvolutionLayer |t_BN/FusedBatchNormV3;model/block_9_project/Conv2D| 0| 1| 1| 35 x x x x x x x | 36 | 1 384 14 14 | 1 64 14 14 | 4816896 | 37|TIDL_EltWiseLayer |model/block_9_add/add | 0| 2| 1| 33 36 x x x x x x | 37 | 1 64 14 14 | 1 64 14 14 | 12544 | 38|TIDL_ConvolutionLayer |0_depthwise/depthwise;model/block_10_expand/Conv2D| 0| 1| 1| 37 x x x x x x x | 38 | 1 64 14 14 | 1 384 14 14 | 4816896 | 39|TIDL_ConvolutionLayer |usedBatchNormV3;model/block_10_depthwise/depthwise| 0| 1| 1| 38 x x x x x x x | 39 | 1 384 14 14 | 1 384 14 14 | 677376 | 40|TIDL_ConvolutionLayer |ck_12_project/Conv2D;model/block_10_project/Conv2D| 0| 1| 1| 39 x x x x x x x | 40 | 1 384 14 14 | 1 96 14 14 | 7225344 | 41|TIDL_ConvolutionLayer |3_depthwise/depthwise;model/block_11_expand/Conv2D| 0| 1| 1| 40 x x x x x x x | 41 | 1 96 14 14 | 1 576 14 14 | 10838016 | 42|TIDL_ConvolutionLayer |hwise/depthwise;model/block_11_depthwise/depthwise| 0| 1| 1| 41 x x x x x x x | 42 | 1 576 14 14 | 1 576 14 14 | 1016064 | 43|TIDL_ConvolutionLayer |ck_12_project/Conv2D;model/block_11_project/Conv2D| 0| 1| 1| 42 x x x x x x x | 43 | 1 576 14 14 | 1 96 14 14 | 10838016 | 44|TIDL_EltWiseLayer |model/block_11_add/add | 0| 2| 1| 40 43 x x x x x x | 44 | 1 96 14 14 | 1 96 14 14 | 18816 | 45|TIDL_ConvolutionLayer |3_depthwise/depthwise;model/block_12_expand/Conv2D| 0| 1| 1| 44 x x x x x x x | 45 | 1 96 14 14 | 1 576 14 14 | 10838016 | 46|TIDL_ConvolutionLayer |hwise/depthwise;model/block_12_depthwise/depthwise| 0| 1| 1| 45 x x x x x x x | 46 | 1 576 14 14 | 1 576 14 14 | 1016064 | 47|TIDL_ConvolutionLayer |_BN/FusedBatchNormV3;model/block_12_project/Conv2D| 0| 1| 1| 46 x x x x x x x | 47 | 1 576 14 14 | 1 96 14 14 | 10838016 | 48|TIDL_EltWiseLayer |model/block_12_add/add | 0| 2| 1| 44 47 x x x x x x | 48 | 1 96 14 14 | 1 96 14 14 | 18816 | 49|TIDL_ConvolutionLayer |3_depthwise/depthwise;model/block_13_expand/Conv2D| 0| 1| 1| 48 x x x x x x x | 49 | 1 96 14 14 | 1 576 14 14 | 10838016 | 50|TIDL_ConvolutionLayer |usedBatchNormV3;model/block_13_depthwise/depthwise| 0| 1| 1| 49 x x x x x x x | 50 | 1 576 14 14 | 1 576 7 7 | 254016 | 51|TIDL_ConvolutionLayer |ck_15_project/Conv2D;model/block_13_project/Conv2D| 0| 1| 1| 50 x x x x x x x | 51 | 1 576 7 7 | 1 160 7 7 | 4515840 | 52|TIDL_ConvolutionLayer |6_depthwise/depthwise;model/block_14_expand/Conv2D| 0| 1| 1| 51 x x x x x x x | 52 | 1 160 7 7 | 1 960 7 7 | 7526400 | 53|TIDL_ConvolutionLayer |hwise/depthwise;model/block_14_depthwise/depthwise| 0| 1| 1| 52 x x x x x x x | 53 | 1 960 7 7 | 1 960 7 7 | 423360 | 54|TIDL_ConvolutionLayer |ck_15_project/Conv2D;model/block_14_project/Conv2D| 0| 1| 1| 53 x x x x x x x | 54 | 1 960 7 7 | 1 160 7 7 | 7526400 | 55|TIDL_EltWiseLayer |model/block_14_add/add | 0| 2| 1| 51 54 x x x x x x | 55 | 1 160 7 7 | 1 160 7 7 | 7840 | 56|TIDL_ConvolutionLayer |6_depthwise/depthwise;model/block_15_expand/Conv2D| 0| 1| 1| 55 x x x x x x x | 56 | 1 160 7 7 | 1 960 7 7 | 7526400 | 57|TIDL_ConvolutionLayer |hwise/depthwise;model/block_15_depthwise/depthwise| 0| 1| 1| 56 x x x x x x x | 57 | 1 960 7 7 | 1 960 7 7 | 423360 | 58|TIDL_ConvolutionLayer |_BN/FusedBatchNormV3;model/block_15_project/Conv2D| 0| 1| 1| 57 x x x x x x x | 58 | 1 960 7 7 | 1 160 7 7 | 7526400 | 59|TIDL_EltWiseLayer |model/block_15_add/add | 0| 2| 1| 55 58 x x x x x x | 59 | 1 160 7 7 | 1 160 7 7 | 7840 | 60|TIDL_ConvolutionLayer |6_depthwise/depthwise;model/block_16_expand/Conv2D| 0| 1| 1| 59 x x x x x x x | 60 | 1 160 7 7 | 1 960 7 7 | 7526400 | 61|TIDL_ConvolutionLayer |usedBatchNormV3;model/block_16_depthwise/depthwise| 0| 1| 1| 60 x x x x x x x | 61 | 1 960 7 7 | 1 960 7 7 | 423360 | 62|TIDL_ConvolutionLayer |_BN/FusedBatchNormV3;model/block_16_project/Conv2D| 0| 1| 1| 61 x x x x x x x | 62 | 1 960 7 7 | 1 320 7 7 | 15052800 | 63|TIDL_ConvolutionLayer |del/Conv_1_bn/FusedBatchNormV3;model/Conv_1/Conv2D| 0| 1| 1| 62 x x x x x x x | 63 | 1 320 7 7 | 1 1280 7 7 | 20070400 | 64|TIDL_PoolingLayer |model/global_average_pooling2d/Mean | 0| 1| 1| 63 x x x x x x x | 64 | 1 1280 7 7 | 1 1 1 1280 | 1280 | 65|TIDL_InnerProductLayer |Relu;model/batch_normalization_154/batchnorm/add_1| 0| 1| 1| 64 x x x x x x x | 65 | 1 1 1 1280 | 1 1 1 100 | 128100 | 66|TIDL_InnerProductLayer |model/dense_1/MatMul;model/dense_1/BiasAdd | 0| 1| 1| 65 x x x x x x x | 66 | 1 1 1 100 | 1 1 1 2 | 202 | 67|TIDL_SoftMaxLayer |StatefulPartitionedCall:0 | 0| 1| 1| 66 x x x x x x x | 67 | 1 1 1 2 | 1 1 1 2 | 2 | 68|TIDL_DataLayer |StatefulPartitionedCall:0 | 0| 1| -1| 67 x x x x x x x | 0 | 1 1 1 2 | 0 0 0 0 | 0 | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- Total Giga Macs : 0.3000 -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- cp /home/users/mms00591/tisdk/ti-processor-sdk-rtos-j721e-evm-09_00_01_01/c7x-mma-tidl/ti_dl/test/testvecs/config/import/device_config.cfg /home/users/mms00591/tisdk/ti-processor-sdk-rtos-j721e-evm-09_00_01_01/c7x-mma-tidl/ti_dl/test/testvecs/out/quant_model/quant_mobilenet_v2.txt.perf_sim_config.txt cd /home/users/mms00591/tisdk/ti-processor-sdk-rtos-j721e-evm-09_00_01_01/c7x-mma-tidl/ti_dl/utils/perfsim && ./ti_cnnperfsim.out /home/users/mms00591/tisdk/ti-processor-sdk-rtos-j721e-evm-09_00_01_01/c7x-mma-tidl/ti_dl/test/testvecs/out/quant_model/quant_mobilenet_v2.txt.perf_sim_config.txt 1601 0 2 ------------------ Network Compiler Traces ----------------------------- successful Memory allocation Network buffer segments: buf(0), offset( 0), size( 124416) buf(1), offset( 3072000), size( 2352900) buf(2), offset( 124416), size( 544960) buf(3), offset( 669376), size( 1380152) /home/users/mms00591/tisdk/ti-processor-sdk-rtos-j721e-evm-09_00_01_01/c7x-mma-tidl/ti_dl/utils/tidlModelGraphviz/out/tidl_graphVisualiser.out ../../test/testvecs/out/quant_model/180_tidl_net.bin /home/users/mms00591/tisdk/ti-processor-sdk-rtos-j721e-evm-09_00_01_01/c7x-mma-tidl/ti_dl/utils/tidlModelDump/out/tidl_dump.out -model ../../test/testvecs/out/quant_model/180_tidl_net.bin -io ../../test/testvecs/out/quant_model/180_tidl_io_1.bin -perfsim -o ../../test/testvecs/out/quant_model/180_tidl_net.bin.txt **************************************************** ** TIDL Model Checker ** **************************************************** **************************************************** ** ALL MODEL CHECK PASSED ** ****************************************************