sithara@sithara-Precision-7510:~/ti-processor-sdk-rtos-j721e-evm-07_01_00_11/tidl_j7_01_03_00_11/ti_dl/utils/tidlModelImport$ ./out/tidl_model_import.out /home/sithara/ti-processor-sdk-rtos-j721e-evm-07_01_00_11/tidl_j7_01_03_00_11/ti_dl/test/testvecs/config/import/msi/onnx/vision_22/tidl_import_bnet.txt ONNX Model (Proto) File : /home/sithara/ti-processor-sdk-rtos-j721e-evm-07_01_00_11/tidl_j7_01_03_00_11/ti_dl/test/testvecs/models/msi/algo_releases/rethinking_onnx_1.3_op_9_3.onnx TIDL Network File : /home/sithara/ti-processor-sdk-rtos-j721e-evm-07_01_00_11/tidl_j7_01_03_00_11/ti_dl/test/testvecs/config/tidl_models/onnx/msi/tidl_net_b.bin TIDL IO Info File : /home/sithara/ti-processor-sdk-rtos-j721e-evm-07_01_00_11/tidl_j7_01_03_00_11/ti_dl/test/testvecs/config/tidl_models/onnx/msi/tidl_io_121_ CUSTOM : 0 ********************* Current ONNX OpSet Version : 9 sithara@sithara-Precision-7510:~/ti-processor-sdk-rtos-j721e-evm-07_01_00_11/tidl_j7_01_03_00_11/ti_dl/utils/tidlModelImport$ ./out/tidl_model_import.out /home/sithara/ti-processor-sdk-rtos-j721e-evm-07_01_00_11/tidl_j7_01_03_00_11/ti_dl/test/testvecs/config/import/msi/onnx/vision_22/tidl_import_bnet.txt ONNX Model (Proto) File : /home/sithara/ti-processor-sdk-rtos-j721e-evm-07_01_00_11/tidl_j7_01_03_00_11/ti_dl/test/testvecs/models/msi/algo_releases/rethinking_onnx_1.3_op_9_3.onnx TIDL Network File : /home/sithara/ti-processor-sdk-rtos-j721e-evm-07_01_00_11/tidl_j7_01_03_00_11/ti_dl/test/testvecs/config/tidl_models/onnx/msi/tidl_net_b.bin TIDL IO Info File : /home/sithara/ti-processor-sdk-rtos-j721e-evm-07_01_00_11/tidl_j7_01_03_00_11/ti_dl/test/testvecs/config/tidl_models/onnx/msi/tidl_io_121_ CUSTOM : 0 ********************* Current ONNX OpSet Version : 9 Running tidl_optimizeNet Warning : Merging Pad layer with Average Pooling layer. This is expected to work but this flow is functionally not validated with ONNX model format. Warning : Merging Pad layer with Average Pooling layer. This is expected to work but this flow is functionally not validated with ONNX model format. Warning : Merging Pad layer with Average Pooling layer. This is expected to work but this flow is functionally not validated with ONNX model format. Warning : Merging Pad layer with Average Pooling layer. This is expected to work but this flow is functionally not validated with ONNX model format. Warning : Merging Pad layer with Average Pooling layer. This is expected to work but this flow is functionally not validated with ONNX model format. Warning : Merging Pad layer with Average Pooling layer. This is expected to work but this flow is functionally not validated with ONNX model format. Warning : Merging Pad layer with Average Pooling layer. This is expected to work but this flow is functionally not validated with ONNX model format. Warning : Merging Pad layer with Average Pooling layer. This is expected to work but this flow is functionally not validated with ONNX model format. Warning : Merging Pad layer with Average Pooling layer. This is expected to work but this flow is functionally not validated with ONNX model format. Warning : Merging Pad layer with Average Pooling layer. This is expected to work but this flow is functionally not validated with ONNX model format. Warning : Merging Pad layer with Average Pooling layer. This is expected to work but this flow is functionally not validated with ONNX model format. Warning : Merging Pad layer with Average Pooling layer. This is expected to work but this flow is functionally not validated with ONNX model format. Warning : Merging Pad layer with Average Pooling layer. This is expected to work but this flow is functionally not validated with ONNX model format. Warning : Merging Pad layer with Average Pooling layer. This is expected to work but this flow is functionally not validated with ONNX model format. Warning : Merging Pad layer with Average Pooling layer. This is expected to work but this flow is functionally not validated with ONNX model format. Warning : Merging Pad layer with Average Pooling layer. This is expected to work but this flow is functionally not validated with ONNX model format. Warning : Merging Pad layer with Average Pooling layer. This is expected to work but this flow is functionally not validated with ONNX model format. Warning : Merging Pad layer with Average Pooling layer. This is expected to work but this flow is functionally not validated with ONNX model format. Warning : Merging Pad layer with Average Pooling layer. This is expected to work but this flow is functionally not validated with ONNX model format. Warning : Merging Pad layer with Average Pooling layer. This is expected to work but this flow is functionally not validated with ONNX model format. Warning : Merging Pad layer with Average Pooling layer. This is expected to work but this flow is functionally not validated with ONNX model format. Warning : Merging Pad layer with Average Pooling layer. This is expected to work but this flow is functionally not validated with ONNX model format. Warning : Merging Pad layer with Average Pooling layer. This is expected to work but this flow is functionally not validated with ONNX model format. Warning : Merging Pad layer with Average Pooling layer. This is expected to work but this flow is functionally not validated with ONNX model format. Warning : Merging Pad layer with Average Pooling layer. This is expected to work but this flow is functionally not validated with ONNX model format. Warning : Merging Pad layer with Average Pooling layer. This is expected to work but this flow is functionally not validated with ONNX model format. Completed tidl_optimizeNet Num of Layer Detected : 127 -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- Num|TIDL Layer Name |Out Data Name |Group |#Ins |#Outs |Inbuf Ids |Outbuf Id |In NCHW |Out NCHW |MACS | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- 0|TIDL_DataLayer |input | 0| -1| 1| x x x x x x x x | 0 | 0 0 0 0 | 1 3 512 1024 | 0 | 1|TIDL_ConvolutionLayer |433 | 0| 1| 1| 0 x x x x x x x | 1 | 1 3 512 1024 | 1 32 256 512 | 117440512 | 2|TIDL_ConvolutionLayer |436 | 0| 1| 1| 1 x x x x x x x | 2 | 1 32 256 512 | 1 64 128 256 | 606076928 | 3|TIDL_ConvolutionLayer |439 | 0| 1| 1| 2 x x x x x x x | 3 | 1 64 128 256 | 1 128 128 256 | 272629760 | 4|TIDL_ConvolutionLayer |715 | 0| 1| 1| 3 x x x x x x x | 4 | 1 128 128 256 | 1 128 64 128 | 9437184 | 5|TIDL_ConvolutionLayer |444 | 0| 1| 1| 4 x x x x x x x | 5 | 1 128 64 128 | 1 64 64 128 | 604504064 | 6|TIDL_PoolingLayer |452 | 0| 1| 1| 3 x x x x x x x | 6 | 1 128 128 256 | 1 128 64 128 | 9437184 | 7|TIDL_ConvolutionLayer |447 | 0| 1| 1| 5 x x x x x x x | 7 | 1 64 64 128 | 1 32 64 128 | 151257088 | 8|TIDL_ConvolutionLayer |450 | 0| 1| 1| 7 x x x x x x x | 8 | 1 32 64 128 | 1 32 64 128 | 75759616 | 9|TIDL_ConcatLayer |453 | 0| 4| 1| 6 5 7 8 x x x x | 9 | 1 128 64 128 | 1 256 64 128 | 2097152 | 10|TIDL_ConvolutionLayer |456 | 0| 1| 1| 9 x x x x x x x | 10 | 1 256 64 128 | 1 128 64 128 | 269484032 | 11|TIDL_ConvolutionLayer |459 | 0| 1| 1| 10 x x x x x x x | 11 | 1 128 64 128 | 1 64 64 128 | 604504064 | 12|TIDL_ConvolutionLayer |462 | 0| 1| 1| 11 x x x x x x x | 12 | 1 64 64 128 | 1 32 64 128 | 151257088 | 13|TIDL_ConvolutionLayer |465 | 0| 1| 1| 12 x x x x x x x | 13 | 1 32 64 128 | 1 32 64 128 | 75759616 | 14|TIDL_ConcatLayer |466 | 0| 4| 1| 10 11 12 13 x x x x | 14 | 1 128 64 128 | 1 256 64 128 | 2097152 | 15|TIDL_ConvolutionLayer |469 | 0| 1| 1| 14 x x x x x x x | 15 | 1 256 64 128 | 1 128 64 128 | 269484032 | 16|TIDL_ConvolutionLayer |472 | 0| 1| 1| 15 x x x x x x x | 16 | 1 128 64 128 | 1 64 64 128 | 604504064 | 17|TIDL_ConvolutionLayer |475 | 0| 1| 1| 16 x x x x x x x | 17 | 1 64 64 128 | 1 32 64 128 | 151257088 | 18|TIDL_ConvolutionLayer |478 | 0| 1| 1| 17 x x x x x x x | 18 | 1 32 64 128 | 1 32 64 128 | 75759616 | 19|TIDL_ConcatLayer |479 | 0| 4| 1| 15 16 17 18 x x x x | 19 | 1 128 64 128 | 1 256 64 128 | 2097152 | 20|TIDL_ConvolutionLayer |482 | 0| 1| 1| 19 x x x x x x x | 20 | 1 256 64 128 | 1 128 64 128 | 269484032 | 21|TIDL_ConvolutionLayer |485 | 0| 1| 1| 20 x x x x x x x | 21 | 1 128 64 128 | 1 64 64 128 | 604504064 | 22|TIDL_ConvolutionLayer |488 | 0| 1| 1| 21 x x x x x x x | 22 | 1 64 64 128 | 1 32 64 128 | 151257088 | 23|TIDL_ConvolutionLayer |491 | 0| 1| 1| 22 x x x x x x x | 23 | 1 32 64 128 | 1 32 64 128 | 75759616 | 24|TIDL_ConcatLayer |492 | 0| 4| 1| 20 21 22 23 x x x x | 24 | 1 128 64 128 | 1 256 64 128 | 2097152 | 25|TIDL_ConvolutionLayer |495 | 0| 1| 1| 24 x x x x x x x | 25 | 1 256 64 128 | 1 256 64 128 | 538968064 | 26|TIDL_ConvolutionLayer |766 | 0| 1| 1| 25 x x x x x x x | 26 | 1 256 64 128 | 1 256 32 64 | 4718592 | 27|TIDL_ConvolutionLayer |500 | 0| 1| 1| 26 x x x x x x x | 27 | 1 256 32 64 | 1 128 32 64 | 604241920 | 28|TIDL_PoolingLayer |508 | 0| 1| 1| 25 x x x x x x x | 28 | 1 256 64 128 | 1 256 32 64 | 4718592 | 29|TIDL_ConvolutionLayer |503 | 0| 1| 1| 27 x x x x x x x | 29 | 1 128 32 64 | 1 64 32 64 | 151126016 | 30|TIDL_ConvolutionLayer |506 | 0| 1| 1| 29 x x x x x x x | 30 | 1 64 32 64 | 1 64 32 64 | 75628544 | 31|TIDL_ConcatLayer |509 | 0| 4| 1| 28 27 29 30 x x x x | 31 | 1 256 32 64 | 1 512 32 64 | 1048576 | 32|TIDL_ConvolutionLayer |512 | 0| 1| 1| 31 x x x x x x x | 32 | 1 512 32 64 | 1 256 32 64 | 268959744 | 33|TIDL_ConvolutionLayer |515 | 0| 1| 1| 32 x x x x x x x | 33 | 1 256 32 64 | 1 128 32 64 | 604241920 | 34|TIDL_ConvolutionLayer |518 | 0| 1| 1| 33 x x x x x x x | 34 | 1 128 32 64 | 1 64 32 64 | 151126016 | 35|TIDL_ConvolutionLayer |521 | 0| 1| 1| 34 x x x x x x x | 35 | 1 64 32 64 | 1 64 32 64 | 75628544 | 36|TIDL_ConcatLayer |522 | 0| 4| 1| 32 33 34 35 x x x x | 36 | 1 256 32 64 | 1 512 32 64 | 1048576 | 37|TIDL_ConvolutionLayer |525 | 0| 1| 1| 36 x x x x x x x | 37 | 1 512 32 64 | 1 256 32 64 | 268959744 | 38|TIDL_ConvolutionLayer |528 | 0| 1| 1| 37 x x x x x x x | 38 | 1 256 32 64 | 1 128 32 64 | 604241920 | 39|TIDL_ConvolutionLayer |531 | 0| 1| 1| 38 x x x x x x x | 39 | 1 128 32 64 | 1 64 32 64 | 151126016 | 40|TIDL_ConvolutionLayer |534 | 0| 1| 1| 39 x x x x x x x | 40 | 1 64 32 64 | 1 64 32 64 | 75628544 | 41|TIDL_ConcatLayer |535 | 0| 4| 1| 37 38 39 40 x x x x | 41 | 1 256 32 64 | 1 512 32 64 | 1048576 | 42|TIDL_ConvolutionLayer |538 | 0| 1| 1| 41 x x x x x x x | 42 | 1 512 32 64 | 1 256 32 64 | 268959744 | 43|TIDL_ConvolutionLayer |541 | 0| 1| 1| 42 x x x x x x x | 43 | 1 256 32 64 | 1 128 32 64 | 604241920 | 44|TIDL_ConvolutionLayer |544 | 0| 1| 1| 43 x x x x x x x | 44 | 1 128 32 64 | 1 64 32 64 | 151126016 | 45|TIDL_ConvolutionLayer |547 | 0| 1| 1| 44 x x x x x x x | 45 | 1 64 32 64 | 1 64 32 64 | 75628544 | 46|TIDL_ConcatLayer |548 | 0| 4| 1| 42 43 44 45 x x x x | 46 | 1 256 32 64 | 1 512 32 64 | 1048576 | 47|TIDL_ConvolutionLayer |551 | 0| 1| 1| 46 x x x x x x x | 47 | 1 512 32 64 | 1 256 32 64 | 268959744 | 48|TIDL_ConvolutionLayer |554 | 0| 1| 1| 47 x x x x x x x | 48 | 1 256 32 64 | 1 128 32 64 | 604241920 | 49|TIDL_ConvolutionLayer |557 | 0| 1| 1| 48 x x x x x x x | 49 | 1 128 32 64 | 1 64 32 64 | 151126016 | 50|TIDL_ConvolutionLayer |560 | 0| 1| 1| 49 x x x x x x x | 50 | 1 64 32 64 | 1 64 32 64 | 75628544 | 51|TIDL_ConcatLayer |561 | 0| 4| 1| 47 48 49 50 x x x x | 51 | 1 256 32 64 | 1 512 32 64 | 1048576 | 52|TIDL_ConvolutionLayer |564 | 0| 1| 1| 51 x x x x x x x | 52 | 1 512 32 64 | 1 512 32 64 | 537919488 | 53|TIDL_ConvolutionLayer |649 | 0| 1| 1| 51 x x x x x x x | 53 | 1 512 32 64 | 1 128 32 64 |1208221696 | 54|TIDL_ConvolutionLayer |829 | 0| 1| 1| 52 x x x x x x x | 54 | 1 512 32 64 | 1 512 16 32 | 2359296 | 55|TIDL_ConvolutionLayer |569 | 0| 1| 1| 54 x x x x x x x | 55 | 1 512 16 32 | 1 256 16 32 | 604110848 | 56|TIDL_PoolingLayer |651 | 0| 1| 1| 53 x x x x x x x | 56 | 1 128 32 64 | 1 128 16 32 | 262144 | 57|TIDL_PoolingLayer |577 | 0| 1| 1| 52 x x x x x x x | 57 | 1 512 32 64 | 1 512 16 32 | 2359296 | 58|TIDL_ConvolutionLayer |572 | 0| 1| 1| 55 x x x x x x x | 58 | 1 256 16 32 | 1 128 16 32 | 151060480 | 59|TIDL_ConvolutionLayer |575 | 0| 1| 1| 58 x x x x x x x | 59 | 1 128 16 32 | 1 128 16 32 | 75563008 | 60|TIDL_PoolingLayer |653 | 0| 1| 1| 56 x x x x x x x | 60 | 1 128 16 32 | 1 128 8 16 | 65536 | 61|TIDL_ConcatLayer |578 | 0| 4| 1| 57 55 58 59 x x x x | 61 | 1 512 16 32 | 1 1024 16 32 | 524288 | 62|TIDL_PoolingLayer |655 | 0| 1| 1| 60 x x x x x x x | 62 | 1 128 8 16 | 1 128 4 8 | 16384 | 63|TIDL_ConvolutionLayer |581 | 0| 1| 1| 61 x x x x x x x | 63 | 1 1024 16 32 | 1 512 16 32 | 268697600 | 64|TIDL_ConvolutionLayer |584 | 0| 1| 1| 63 x x x x x x x | 64 | 1 512 16 32 | 1 256 16 32 | 604110848 | 65|TIDL_PoolingLayer |657 | 0| 1| 1| 62 x x x x x x x | 65 | 1 128 4 8 | 1 128 2 4 | 4096 | 66|TIDL_ConvolutionLayer |587 | 0| 1| 1| 64 x x x x x x x | 66 | 1 256 16 32 | 1 128 16 32 | 151060480 | 67|TIDL_ConvolutionLayer |590 | 0| 1| 1| 66 x x x x x x x | 67 | 1 128 16 32 | 1 128 16 32 | 75563008 | 68|TIDL_PoolingLayer |659 | 0| 1| 1| 65 x x x x x x x | 68 | 1 128 2 4 | 1 128 1 2 | 1024 | 69|TIDL_ResizeLayer |661 | 0| 1| 1| 68 x x x x x x x | 69 | 1 128 1 2 | 1 128 2 2 | 2048 | 70|TIDL_ConcatLayer |591 | 0| 4| 1| 63 64 66 67 x x x x | 70 | 1 512 16 32 | 1 1024 16 32 | 524288 | 71|TIDL_ConvolutionLayer |594 | 0| 1| 1| 70 x x x x x x x | 71 | 1 1024 16 32 | 1 512 16 32 | 268697600 | 72|TIDL_PoolingLayer |663 | 0| 1| 1| 69 x x x x x x x | 72 | 1 128 2 2 | 1 128 1 1 | 128 | 73|TIDL_ConvolutionLayer |597 | 0| 1| 1| 71 x x x x x x x | 73 | 1 512 16 32 | 1 256 16 32 | 604110848 | 74|TIDL_ConvolutionLayer |880 | 0| 1| 1| 72 x x x x x x x | 74 | 1 128 1 1 | 1 128 1 1 | 16384 | 75|TIDL_ConvolutionLayer |600 | 0| 1| 1| 73 x x x x x x x | 75 | 1 256 16 32 | 1 128 16 32 | 151060480 | 76|TIDL_BatchNormLayer |666 | 0| 1| 1| 74 x x x x x x x | 76 | 1 128 1 1 | 1 128 1 1 | 128 | 77|TIDL_ConvolutionLayer |603 | 0| 1| 1| 75 x x x x x x x | 77 | 1 128 16 32 | 1 128 16 32 | 75563008 | 78|TIDL_EltWiseLayer |667 | 0| 2| 1| 53 76 x x x x x x | 78 | 1 128 32 64 | 1 128 32 64 | 262144 | 79|TIDL_ConcatLayer |604 | 0| 4| 1| 71 73 75 77 x x x x | 79 | 1 512 16 32 | 1 1024 16 32 | 524288 | 80|TIDL_ConvolutionLayer |624 | 0| 1| 1| 79 x x x x x x x | 80 | 1 1024 16 32 | 1 128 16 32 | 604045312 | 81|TIDL_PoolingLayer |606 | 0| 1| 1| 79 x x x x x x x | 81 | 1 1024 16 32 | 1 1024 8 16 | 524288 | 82|TIDL_PoolingLayer |608 | 0| 1| 1| 81 x x x x x x x | 82 | 1 1024 8 16 | 1 1024 4 8 | 131072 | 83|TIDL_PoolingLayer |626 | 0| 1| 1| 80 x x x x x x x | 83 | 1 128 16 32 | 1 128 8 16 | 65536 | 84|TIDL_PoolingLayer |610 | 0| 1| 1| 82 x x x x x x x | 84 | 1 1024 4 8 | 1 1024 2 4 | 32768 | 85|TIDL_PoolingLayer |628 | 0| 1| 1| 83 x x x x x x x | 85 | 1 128 8 16 | 1 128 4 8 | 16384 | 86|TIDL_PoolingLayer |612 | 0| 1| 1| 84 x x x x x x x | 86 | 1 1024 2 4 | 1 1024 1 2 | 8192 | 87|TIDL_PoolingLayer |630 | 0| 1| 1| 85 x x x x x x x | 87 | 1 128 4 8 | 1 128 2 4 | 4096 | 88|TIDL_ResizeLayer |614 | 0| 1| 1| 86 x x x x x x x | 88 | 1 1024 1 2 | 1 1024 2 2 | 16384 | 89|TIDL_PoolingLayer |632 | 0| 1| 1| 87 x x x x x x x | 89 | 1 128 2 4 | 1 128 1 2 | 1024 | 90|TIDL_PoolingLayer |616 | 0| 1| 1| 88 x x x x x x x | 90 | 1 1024 2 2 | 1 1024 1 1 | 1024 | 91|TIDL_ResizeLayer |634 | 0| 1| 1| 89 x x x x x x x | 91 | 1 128 1 2 | 1 128 2 2 | 2048 | 92|TIDL_ConvolutionLayer |619 | 0| 1| 1| 90 x x x x x x x | 92 | 1 1024 1 1 | 1 128 1 1 | 131200 | 93|TIDL_PoolingLayer |636 | 0| 1| 1| 91 x x x x x x x | 93 | 1 128 2 2 | 1 128 1 1 | 128 | 94|TIDL_ConvolutionLayer |871 | 0| 1| 1| 93 x x x x x x x | 94 | 1 128 1 1 | 1 128 1 1 | 16384 | 95|TIDL_BatchNormLayer |639 | 0| 1| 1| 94 x x x x x x x | 95 | 1 128 1 1 | 1 128 1 1 | 128 | 96|TIDL_EltWiseLayer |640 | 0| 2| 1| 80 95 x x x x x x | 96 | 1 128 16 32 | 1 128 16 32 | 65536 | 97|TIDL_ResizeLayer |621_TIDL_0 | 0| 1| 1| 92 x x x x x x x | 97 | 1 128 1 1 | 1 128 4 4 | 0 | 98|TIDL_ResizeLayer |621_TIDL_1 | 0| 1| 1| 97 x x x x x x x | 98 | 1 128 4 4 | 1 128 8 8 | 0 | 99|TIDL_ResizeLayer |621_TIDL_2 | 0| 1| 1| 98 x x x x x x x | 99 | 1 128 8 8 | 1 128 8 16 | 0 | 100|TIDL_ResizeLayer |621 | 0| 1| 1| 99 x x x x x x x |100 | 1 128 8 16 | 1 128 16 32 | 262144 | 101|TIDL_EltWiseLayer |641 | 0| 2| 1| 96 100 x x x x x x |101 | 1 128 16 32 | 1 128 16 32 | 65536 | 102|TIDL_ResizeLayer |643 | 0| 1| 1|101 x x x x x x x |102 | 1 128 16 32 | 1 128 32 64 | 1048576 | 103|TIDL_ConvolutionLayer |646 | 0| 1| 1|102 x x x x x x x |103 | 1 128 32 64 | 1 128 32 64 | 302252032 | 104|TIDL_EltWiseLayer |668 | 0| 2| 1| 78 103 x x x x x x |104 | 1 128 32 64 | 1 128 32 64 | 262144 | 105|TIDL_ResizeLayer |670 | 0| 1| 1|104 x x x x x x x |105 | 1 128 32 64 | 1 128 64 128 | 4194304 | 106|TIDL_ConvolutionLayer |673 | 0| 1| 1|105 x x x x x x x |106 | 1 128 64 128 | 1 128 64 128 |1209008128 | 107|TIDL_ConcatLayer |674 | 0| 2| 1| 24 106 x x x x x x |107 | 1 256 64 128 | 1 384 64 128 | 3145728 | 108|TIDL_ConvolutionLayer |677 | 0| 1| 1|107 x x x x x x x |108 | 1 384 64 128 | 1 256 64 128 | 807403520 | 109|TIDL_PoolingLayer |679 | 0| 1| 1|108 x x x x x x x |109 | 1 256 64 128 | 1 256 32 64 | 2097152 | 110|TIDL_PoolingLayer |681 | 0| 1| 1|109 x x x x x x x |110 | 1 256 32 64 | 1 256 16 32 | 524288 | 111|TIDL_PoolingLayer |683 | 0| 1| 1|110 x x x x x x x |111 | 1 256 16 32 | 1 256 8 16 | 131072 | 112|TIDL_PoolingLayer |685 | 0| 1| 1|111 x x x x x x x |112 | 1 256 8 16 | 1 256 4 8 | 32768 | 113|TIDL_PoolingLayer |687 | 0| 1| 1|112 x x x x x x x |113 | 1 256 4 8 | 1 256 2 4 | 8192 | 114|TIDL_PoolingLayer |689 | 0| 1| 1|113 x x x x x x x |114 | 1 256 2 4 | 1 256 1 2 | 2048 | 115|TIDL_ResizeLayer |691 | 0| 1| 1|114 x x x x x x x |115 | 1 256 1 2 | 1 256 2 2 | 4096 | 116|TIDL_PoolingLayer |693 | 0| 1| 1|115 x x x x x x x |116 | 1 256 2 2 | 1 256 1 1 | 256 | 117|TIDL_ConvolutionLayer |695 | 0| 1| 1|116 x x x x x x x |117 | 1 256 1 1 | 1 64 1 1 | 16448 | 118|TIDL_ConvolutionLayer |696 | 0| 1| 1|117 x x x x x x x |118 | 1 64 1 1 | 1 256 1 1 | 16384 | 119|TIDL_BatchNormLayer |697 | 0| 1| 1|118 x x x x x x x |119 | 1 256 1 1 | 1 256 1 1 | 256 | 120|TIDL_EltWiseLayer |698 | 0| 2| 1|108 119 x x x x x x |120 | 1 256 64 128 | 1 256 64 128 | 2097152 | 121|TIDL_EltWiseLayer |699 | 0| 2| 1|120 108 x x x x x x |121 | 1 256 64 128 | 1 256 64 128 | 2097152 | 122|TIDL_ConvolutionLayer |702 | 0| 1| 1|121 x x x x x x x |122 | 1 256 64 128 | 1 256 64 128 |4833935360 | 123|TIDL_ConvolutionLayer |703 | 0| 1| 1|122 x x x x x x x |123 | 1 256 64 128 | 1 19 64 128 | 39845888 | 124|TIDL_ResizeLayer |output_TIDL_0 | 0| 1| 1|123 x x x x x x x |124 | 1 19 64 128 | 1 19 256 512 | 0 | 125|TIDL_ResizeLayer |output | 0| 1| 1|124 x x x x x x x |125 | 1 19 256 512 | 1 19 512 1024 | 39845888 | 126|TIDL_DataLayer |output | 0| 1| -1|125 x x x x x x x | 0 | 1 19 512 1024 | 0 0 0 0 | 0 | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- Total Giga Macs : 23.5784 -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- ~~~~~Running TIDL in PC emulation mode to collect Activations range for each layer~~~~~ cd /home/sithara/ti-processor-sdk-rtos-j721e-evm-07_01_00_11/tidl_j7_01_03_00_11/ti_dl/test && ./PC_dsp_test_dl_algo.out s:/home/sithara/ti-processor-sdk-rtos-j721e-evm-07_01_00_11/tidl_j7_01_03_00_11/ti_dl/test/testvecs/config/tidl_models/onnx/msi/tidl_import_bnet.txt.qunat_stats_config.txt Processing config file #0 : /home/sithara/ti-processor-sdk-rtos-j721e-evm-07_01_00_11/tidl_j7_01_03_00_11/ti_dl/test/testvecs/config/tidl_models/onnx/msi/tidl_import_bnet.txt.qunat_stats_config.txt 12643520, 12.058 0x7fed30809010 Network File Read done ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- Num|TIDL Layer Name |Group |#Ins |#Outs |Inbuf Ids |Outbuf Id |In NCHW |Out NCHW | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- 0|TIDL_DataLayer | 0| -1| 1| x x x x x x x x | 0 | 0 0 0 0 | 1 3 512 1024 | 1|TIDL_ConvolutionLayer | 1| 1| 1| 0 x x x x x x x | 1 | 1 3 512 1024 | 1 32 256 512 | 2|TIDL_ConvolutionLayer | 1| 1| 1| 1 x x x x x x x | 2 | 1 32 256 512 | 1 64 128 256 | 3|TIDL_ConvolutionLayer | 1| 1| 1| 2 x x x x x x x | 3 | 1 64 128 256 | 1 128 128 256 | 4|TIDL_ConvolutionLayer | 1| 1| 1| 3 x x x x x x x | 4 | 1 128 128 256 | 1 128 64 128 | 5|TIDL_ConvolutionLayer | 1| 1| 1| 4 x x x x x x x | 5 | 1 128 64 128 | 1 64 64 128 | 6|TIDL_PoolingLayer | 1| 1| 1| 3 x x x x x x x | 6 | 1 128 128 256 | 1 128 64 128 | 7|TIDL_ConvolutionLayer | 1| 1| 1| 5 x x x x x x x | 7 | 1 64 64 128 | 1 32 64 128 | 8|TIDL_ConvolutionLayer | 1| 1| 1| 7 x x x x x x x | 8 | 1 32 64 128 | 1 32 64 128 | 9|TIDL_ConcatLayer | 1| 4| 1| 6 5 7 8 x x x x | 9 | 1 128 64 128 | 1 256 64 128 | 10|TIDL_ConvolutionLayer | 1| 1| 1| 9 x x x x x x x | 10 | 1 256 64 128 | 1 128 64 128 | 11|TIDL_ConvolutionLayer | 1| 1| 1| 10 x x x x x x x | 11 | 1 128 64 128 | 1 64 64 128 | 12|TIDL_ConvolutionLayer | 1| 1| 1| 11 x x x x x x x | 12 | 1 64 64 128 | 1 32 64 128 | 13|TIDL_ConvolutionLayer | 1| 1| 1| 12 x x x x x x x | 13 | 1 32 64 128 | 1 32 64 128 | 14|TIDL_ConcatLayer | 1| 4| 1| 10 11 12 13 x x x x | 14 | 1 128 64 128 | 1 256 64 128 | 15|TIDL_ConvolutionLayer | 1| 1| 1| 14 x x x x x x x | 15 | 1 256 64 128 | 1 128 64 128 | 16|TIDL_ConvolutionLayer | 1| 1| 1| 15 x x x x x x x | 16 | 1 128 64 128 | 1 64 64 128 | 17|TIDL_ConvolutionLayer | 1| 1| 1| 16 x x x x x x x | 17 | 1 64 64 128 | 1 32 64 128 | 18|TIDL_ConvolutionLayer | 1| 1| 1| 17 x x x x x x x | 18 | 1 32 64 128 | 1 32 64 128 | 19|TIDL_ConcatLayer | 1| 4| 1| 15 16 17 18 x x x x | 19 | 1 128 64 128 | 1 256 64 128 | 20|TIDL_ConvolutionLayer | 1| 1| 1| 19 x x x x x x x | 20 | 1 256 64 128 | 1 128 64 128 | 21|TIDL_ConvolutionLayer | 1| 1| 1| 20 x x x x x x x | 21 | 1 128 64 128 | 1 64 64 128 | 22|TIDL_ConvolutionLayer | 1| 1| 1| 21 x x x x x x x | 22 | 1 64 64 128 | 1 32 64 128 | 23|TIDL_ConvolutionLayer | 1| 1| 1| 22 x x x x x x x | 23 | 1 32 64 128 | 1 32 64 128 | 24|TIDL_ConcatLayer | 1| 4| 1| 20 21 22 23 x x x x | 24 | 1 128 64 128 | 1 256 64 128 | 25|TIDL_ConvolutionLayer | 1| 1| 1| 24 x x x x x x x | 25 | 1 256 64 128 | 1 256 64 128 | 26|TIDL_ConvolutionLayer | 1| 1| 1| 25 x x x x x x x | 26 | 1 256 64 128 | 1 256 32 64 | 27|TIDL_ConvolutionLayer | 1| 1| 1| 26 x x x x x x x | 27 | 1 256 32 64 | 1 128 32 64 | 28|TIDL_PoolingLayer | 1| 1| 1| 25 x x x x x x x | 28 | 1 256 64 128 | 1 256 32 64 | 29|TIDL_ConvolutionLayer | 1| 1| 1| 27 x x x x x x x | 29 | 1 128 32 64 | 1 64 32 64 | 30|TIDL_ConvolutionLayer | 1| 1| 1| 29 x x x x x x x | 30 | 1 64 32 64 | 1 64 32 64 | 31|TIDL_ConcatLayer | 1| 4| 1| 28 27 29 30 x x x x | 31 | 1 256 32 64 | 1 512 32 64 | 32|TIDL_ConvolutionLayer | 1| 1| 1| 31 x x x x x x x | 32 | 1 512 32 64 | 1 256 32 64 | 33|TIDL_ConvolutionLayer | 1| 1| 1| 32 x x x x x x x | 33 | 1 256 32 64 | 1 128 32 64 | 34|TIDL_ConvolutionLayer | 1| 1| 1| 33 x x x x x x x | 34 | 1 128 32 64 | 1 64 32 64 | 35|TIDL_ConvolutionLayer | 1| 1| 1| 34 x x x x x x x | 35 | 1 64 32 64 | 1 64 32 64 | 36|TIDL_ConcatLayer | 1| 4| 1| 32 33 34 35 x x x x | 36 | 1 256 32 64 | 1 512 32 64 | 37|TIDL_ConvolutionLayer | 1| 1| 1| 36 x x x x x x x | 37 | 1 512 32 64 | 1 256 32 64 | 38|TIDL_ConvolutionLayer | 1| 1| 1| 37 x x x x x x x | 38 | 1 256 32 64 | 1 128 32 64 | 39|TIDL_ConvolutionLayer | 1| 1| 1| 38 x x x x x x x | 39 | 1 128 32 64 | 1 64 32 64 | 40|TIDL_ConvolutionLayer | 1| 1| 1| 39 x x x x x x x | 40 | 1 64 32 64 | 1 64 32 64 | 41|TIDL_ConcatLayer | 1| 4| 1| 37 38 39 40 x x x x | 41 | 1 256 32 64 | 1 512 32 64 | 42|TIDL_ConvolutionLayer | 1| 1| 1| 41 x x x x x x x | 42 | 1 512 32 64 | 1 256 32 64 | 43|TIDL_ConvolutionLayer | 1| 1| 1| 42 x x x x x x x | 43 | 1 256 32 64 | 1 128 32 64 | 44|TIDL_ConvolutionLayer | 1| 1| 1| 43 x x x x x x x | 44 | 1 128 32 64 | 1 64 32 64 | 45|TIDL_ConvolutionLayer | 1| 1| 1| 44 x x x x x x x | 45 | 1 64 32 64 | 1 64 32 64 | 46|TIDL_ConcatLayer | 1| 4| 1| 42 43 44 45 x x x x | 46 | 1 256 32 64 | 1 512 32 64 | 47|TIDL_ConvolutionLayer | 1| 1| 1| 46 x x x x x x x | 47 | 1 512 32 64 | 1 256 32 64 | 48|TIDL_ConvolutionLayer | 1| 1| 1| 47 x x x x x x x | 48 | 1 256 32 64 | 1 128 32 64 | 49|TIDL_ConvolutionLayer | 1| 1| 1| 48 x x x x x x x | 49 | 1 128 32 64 | 1 64 32 64 | 50|TIDL_ConvolutionLayer | 1| 1| 1| 49 x x x x x x x | 50 | 1 64 32 64 | 1 64 32 64 | 51|TIDL_ConcatLayer | 1| 4| 1| 47 48 49 50 x x x x | 51 | 1 256 32 64 | 1 512 32 64 | 52|TIDL_ConvolutionLayer | 1| 1| 1| 51 x x x x x x x | 52 | 1 512 32 64 | 1 512 32 64 | 53|TIDL_ConvolutionLayer | 1| 1| 1| 51 x x x x x x x | 53 | 1 512 32 64 | 1 128 32 64 | 54|TIDL_ConvolutionLayer | 1| 1| 1| 52 x x x x x x x | 54 | 1 512 32 64 | 1 512 16 32 | 55|TIDL_ConvolutionLayer | 1| 1| 1| 54 x x x x x x x | 55 | 1 512 16 32 | 1 256 16 32 | 56|TIDL_PoolingLayer | 1| 1| 1| 53 x x x x x x x | 56 | 1 128 32 64 | 1 128 16 32 | 57|TIDL_PoolingLayer | 1| 1| 1| 52 x x x x x x x | 57 | 1 512 32 64 | 1 512 16 32 | 58|TIDL_ConvolutionLayer | 1| 1| 1| 55 x x x x x x x | 58 | 1 256 16 32 | 1 128 16 32 | 59|TIDL_ConvolutionLayer | 1| 1| 1| 58 x x x x x x x | 59 | 1 128 16 32 | 1 128 16 32 | 60|TIDL_PoolingLayer | 1| 1| 1| 56 x x x x x x x | 60 | 1 128 16 32 | 1 128 8 16 | 61|TIDL_ConcatLayer | 1| 4| 1| 57 55 58 59 x x x x | 61 | 1 512 16 32 | 1 1024 16 32 | 62|TIDL_PoolingLayer | 1| 1| 1| 60 x x x x x x x | 62 | 1 128 8 16 | 1 128 4 8 | 63|TIDL_ConvolutionLayer | 1| 1| 1| 61 x x x x x x x | 63 | 1 1024 16 32 | 1 512 16 32 | 64|TIDL_ConvolutionLayer | 1| 1| 1| 63 x x x x x x x | 64 | 1 512 16 32 | 1 256 16 32 | 65|TIDL_PoolingLayer | 1| 1| 1| 62 x x x x x x x | 65 | 1 128 4 8 | 1 128 2 4 | 66|TIDL_ConvolutionLayer | 1| 1| 1| 64 x x x x x x x | 66 | 1 256 16 32 | 1 128 16 32 | 67|TIDL_ConvolutionLayer | 1| 1| 1| 66 x x x x x x x | 67 | 1 128 16 32 | 1 128 16 32 | 68|TIDL_PoolingLayer | 1| 1| 1| 65 x x x x x x x | 68 | 1 128 2 4 | 1 128 1 2 | 69|TIDL_ResizeLayer | 1| 1| 1| 68 x x x x x x x | 69 | 1 128 1 2 | 1 128 2 2 | 70|TIDL_ConcatLayer | 1| 4| 1| 63 64 66 67 x x x x | 70 | 1 512 16 32 | 1 1024 16 32 | 71|TIDL_ConvolutionLayer | 1| 1| 1| 70 x x x x x x x | 71 | 1 1024 16 32 | 1 512 16 32 | 72|TIDL_PoolingLayer | 1| 1| 1| 69 x x x x x x x | 72 | 1 128 2 2 | 1 128 1 1 | 73|TIDL_ConvolutionLayer | 1| 1| 1| 71 x x x x x x x | 73 | 1 512 16 32 | 1 256 16 32 | 74|TIDL_ConvolutionLayer | 1| 1| 1| 72 x x x x x x x | 74 | 1 128 1 1 | 1 128 1 1 | 75|TIDL_ConvolutionLayer | 1| 1| 1| 73 x x x x x x x | 75 | 1 256 16 32 | 1 128 16 32 | 76|TIDL_BatchNormLayer | 1| 1| 1| 74 x x x x x x x | 76 | 1 128 1 1 | 1 128 1 1 | 77|TIDL_ConvolutionLayer | 1| 1| 1| 75 x x x x x x x | 77 | 1 128 16 32 | 1 128 16 32 | 78|TIDL_EltWiseLayer | 1| 2| 1| 53 76 x x x x x x | 78 | 1 128 32 64 | 1 128 32 64 | 79|TIDL_ConcatLayer | 1| 4| 1| 71 73 75 77 x x x x | 79 | 1 512 16 32 | 1 1024 16 32 | 80|TIDL_ConvolutionLayer | 1| 1| 1| 79 x x x x x x x | 80 | 1 1024 16 32 | 1 128 16 32 | 81|TIDL_PoolingLayer | 1| 1| 1| 79 x x x x x x x | 81 | 1 1024 16 32 | 1 1024 8 16 | 82|TIDL_PoolingLayer | 1| 1| 1| 81 x x x x x x x | 82 | 1 1024 8 16 | 1 1024 4 8 | 83|TIDL_PoolingLayer | 1| 1| 1| 80 x x x x x x x | 83 | 1 128 16 32 | 1 128 8 16 | 84|TIDL_PoolingLayer | 1| 1| 1| 82 x x x x x x x | 84 | 1 1024 4 8 | 1 1024 2 4 | 85|TIDL_PoolingLayer | 1| 1| 1| 83 x x x x x x x | 85 | 1 128 8 16 | 1 128 4 8 | 86|TIDL_PoolingLayer | 1| 1| 1| 84 x x x x x x x | 86 | 1 1024 2 4 | 1 1024 1 2 | 87|TIDL_PoolingLayer | 1| 1| 1| 85 x x x x x x x | 87 | 1 128 4 8 | 1 128 2 4 | 88|TIDL_ResizeLayer | 1| 1| 1| 86 x x x x x x x | 88 | 1 1024 1 2 | 1 1024 2 2 | 89|TIDL_PoolingLayer | 1| 1| 1| 87 x x x x x x x | 89 | 1 128 2 4 | 1 128 1 2 | 90|TIDL_PoolingLayer | 1| 1| 1| 88 x x x x x x x | 90 | 1 1024 2 2 | 1 1024 1 1 | 91|TIDL_ResizeLayer | 1| 1| 1| 89 x x x x x x x | 91 | 1 128 1 2 | 1 128 2 2 | 92|TIDL_ConvolutionLayer | 1| 1| 1| 90 x x x x x x x | 92 | 1 1024 1 1 | 1 128 1 1 | 93|TIDL_PoolingLayer | 1| 1| 1| 91 x x x x x x x | 93 | 1 128 2 2 | 1 128 1 1 | 94|TIDL_ConvolutionLayer | 1| 1| 1| 93 x x x x x x x | 94 | 1 128 1 1 | 1 128 1 1 | 95|TIDL_BatchNormLayer | 1| 1| 1| 94 x x x x x x x | 95 | 1 128 1 1 | 1 128 1 1 | 96|TIDL_EltWiseLayer | 1| 2| 1| 80 95 x x x x x x | 96 | 1 128 16 32 | 1 128 16 32 | 97|TIDL_ResizeLayer | 1| 1| 1| 92 x x x x x x x | 97 | 1 128 1 1 | 1 128 4 4 | 98|TIDL_ResizeLayer | 1| 1| 1| 97 x x x x x x x | 98 | 1 128 4 4 | 1 128 8 8 | 99|TIDL_ResizeLayer | 1| 1| 1| 98 x x x x x x x | 99 | 1 128 8 8 | 1 128 8 16 | 100|TIDL_ResizeLayer | 1| 1| 1| 99 x x x x x x x |100 | 1 128 8 16 | 1 128 16 32 | 101|TIDL_EltWiseLayer | 1| 2| 1| 96 100 x x x x x x |101 | 1 128 16 32 | 1 128 16 32 | 102|TIDL_ResizeLayer | 1| 1| 1|101 x x x x x x x |102 | 1 128 16 32 | 1 128 32 64 | 103|TIDL_ConvolutionLayer | 1| 1| 1|102 x x x x x x x |103 | 1 128 32 64 | 1 128 32 64 | 104|TIDL_EltWiseLayer | 1| 2| 1| 78 103 x x x x x x |104 | 1 128 32 64 | 1 128 32 64 | 105|TIDL_ResizeLayer | 1| 1| 1|104 x x x x x x x |105 | 1 128 32 64 | 1 128 64 128 | 106|TIDL_ConvolutionLayer | 1| 1| 1|105 x x x x x x x |106 | 1 128 64 128 | 1 128 64 128 | 107|TIDL_ConcatLayer | 1| 2| 1| 24 106 x x x x x x |107 | 1 256 64 128 | 1 384 64 128 | 108|TIDL_ConvolutionLayer | 1| 1| 1|107 x x x x x x x |108 | 1 384 64 128 | 1 256 64 128 | 109|TIDL_PoolingLayer | 1| 1| 1|108 x x x x x x x |109 | 1 256 64 128 | 1 256 32 64 | 110|TIDL_PoolingLayer | 1| 1| 1|109 x x x x x x x |110 | 1 256 32 64 | 1 256 16 32 | 111|TIDL_PoolingLayer | 1| 1| 1|110 x x x x x x x |111 | 1 256 16 32 | 1 256 8 16 | 112|TIDL_PoolingLayer | 1| 1| 1|111 x x x x x x x |112 | 1 256 8 16 | 1 256 4 8 | 113|TIDL_PoolingLayer | 1| 1| 1|112 x x x x x x x |113 | 1 256 4 8 | 1 256 2 4 | 114|TIDL_PoolingLayer | 1| 1| 1|113 x x x x x x x |114 | 1 256 2 4 | 1 256 1 2 | 115|TIDL_ResizeLayer | 1| 1| 1|114 x x x x x x x |115 | 1 256 1 2 | 1 256 2 2 | 116|TIDL_PoolingLayer | 1| 1| 1|115 x x x x x x x |116 | 1 256 2 2 | 1 256 1 1 | 117|TIDL_ConvolutionLayer | 1| 1| 1|116 x x x x x x x |117 | 1 256 1 1 | 1 64 1 1 | 118|TIDL_ConvolutionLayer | 1| 1| 1|117 x x x x x x x |118 | 1 64 1 1 | 1 256 1 1 | 119|TIDL_BatchNormLayer | 1| 1| 1|118 x x x x x x x |119 | 1 256 1 1 | 1 256 1 1 | 120|TIDL_EltWiseLayer | 1| 2| 1|108 119 x x x x x x |120 | 1 256 64 128 | 1 256 64 128 | 121|TIDL_EltWiseLayer | 1| 2| 1|120 108 x x x x x x |121 | 1 256 64 128 | 1 256 64 128 | 122|TIDL_ConvolutionLayer | 1| 1| 1|121 x x x x x x x |122 | 1 256 64 128 | 1 256 64 128 | 123|TIDL_ConvolutionLayer | 1| 1| 1|122 x x x x x x x |123 | 1 256 64 128 | 1 19 64 128 | 124|TIDL_ResizeLayer | 1| 1| 1|123 x x x x x x x |124 | 1 19 64 128 | 1 19 256 512 | 125|TIDL_ResizeLayer | 1| 1| 1|124 x x x x x x x |125 | 1 19 256 512 | 1 19 512 1024 | 126|TIDL_DataLayer | 0| 1| -1|125 x x x x x x x | 0 | 1 19 512 1024 | 0 0 0 0 | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- Calling algAlloc TIDL_initDebugTraceParams Done Alg Alloc for Layer # - 0 Alg Alloc for Layer # - 1 Alg Alloc for Layer # - 2 Alg Alloc for Layer # - 3 Alg Alloc for Layer # - 4 Alg Alloc for Layer # - 5 Alg Alloc for Layer # - 6 Alg Alloc for Layer # - 7 Alg Alloc for Layer # - 8 Alg Alloc for Layer # - 9 Alg Alloc for Layer # - 10 Alg Alloc for Layer # - 11 Alg Alloc for Layer # - 12 Alg Alloc for Layer # - 13 Alg Alloc for Layer # - 14 Alg Alloc for Layer # - 15 Alg Alloc for Layer # - 16 Alg Alloc for Layer # - 17 Alg Alloc for Layer # - 18 Alg Alloc for Layer # - 19 Alg Alloc for Layer # - 20 Alg Alloc for Layer # - 21 Alg Alloc for Layer # - 22 Alg Alloc for Layer # - 23 Alg Alloc for Layer # - 24 Alg Alloc for Layer # - 25 Alg Alloc for Layer # - 26 Alg Alloc for Layer # - 27 Alg Alloc for Layer # - 28 Alg Alloc for Layer # - 29 Alg Alloc for Layer # - 30 Alg Alloc for Layer # - 31 Alg Alloc for Layer # - 32 Alg Alloc for Layer # - 33 Alg Alloc for Layer # - 34 Alg Alloc for Layer # - 35 Alg Alloc for Layer # - 36 Alg Alloc for Layer # - 37 Alg Alloc for Layer # - 38 Alg Alloc for Layer # - 39 Alg Alloc for Layer # - 40 Alg Alloc for Layer # - 41 Alg Alloc for Layer # - 42 Alg Alloc for Layer # - 43 Alg Alloc for Layer # - 44 Alg Alloc for Layer # - 45 Alg Alloc for Layer # - 46 Alg Alloc for Layer # - 47 Alg Alloc for Layer # - 48 Alg Alloc for Layer # - 49 Alg Alloc for Layer # - 50 Alg Alloc for Layer # - 51 Alg Alloc for Layer # - 52 Alg Alloc for Layer # - 53 Alg Alloc for Layer # - 54 Alg Alloc for Layer # - 55 Alg Alloc for Layer # - 56 Alg Alloc for Layer # - 57 Alg Alloc for Layer # - 58 Alg Alloc for Layer # - 59 Alg Alloc for Layer # - 60 Alg Alloc for Layer # - 61 Alg Alloc for Layer # - 62 Alg Alloc for Layer # - 63 Alg Alloc for Layer # - 64 Alg Alloc for Layer # - 65 Alg Alloc for Layer # - 66 Alg Alloc for Layer # - 67 Alg Alloc for Layer # - 68 Alg Alloc for Layer # - 69 Alg Alloc for Layer # - 70 Alg Alloc for Layer # - 71 Alg Alloc for Layer # - 72 Alg Alloc for Layer # - 73 Alg Alloc for Layer # - 74 Alg Alloc for Layer # - 75 Alg Alloc for Layer # - 76 Alg Alloc for Layer # - 77 Alg Alloc for Layer # - 78 Alg Alloc for Layer # - 79 Alg Alloc for Layer # - 80 Alg Alloc for Layer # - 81 Alg Alloc for Layer # - 82 Alg Alloc for Layer # - 83 Alg Alloc for Layer # - 84 Alg Alloc for Layer # - 85 Alg Alloc for Layer # - 86 Alg Alloc for Layer # - 87 Alg Alloc for Layer # - 88 Alg Alloc for Layer # - 89 Alg Alloc for Layer # - 90 Alg Alloc for Layer # - 91 Alg Alloc for Layer # - 92 Alg Alloc for Layer # - 93 Alg Alloc for Layer # - 94 Alg Alloc for Layer # - 95 Alg Alloc for Layer # - 96 Alg Alloc for Layer # - 97 Alg Alloc for Layer # - 98 Alg Alloc for Layer # - 99 Alg Alloc for Layer # - 100 Alg Alloc for Layer # - 101 Alg Alloc for Layer # - 102 Alg Alloc for Layer # - 103 Alg Alloc for Layer # - 104 Alg Alloc for Layer # - 105 Alg Alloc for Layer # - 106 Alg Alloc for Layer # - 107 Alg Alloc for Layer # - 108 Alg Alloc for Layer # - 109 Alg Alloc for Layer # - 110 Alg Alloc for Layer # - 111 Alg Alloc for Layer # - 112 Alg Alloc for Layer # - 113 Alg Alloc for Layer # - 114 Alg Alloc for Layer # - 115 Alg Alloc for Layer # - 116 Alg Alloc for Layer # - 117 Alg Alloc for Layer # - 118 Alg Alloc for Layer # - 119 Alg Alloc for Layer # - 120 Alg Alloc for Layer # - 121 Alg Alloc for Layer # - 122 Alg Alloc for Layer # - 123 Alg Alloc for Layer # - 124 Alg Alloc for Layer # - 125 Alg Alloc for Layer # - 126 Num, Space, SizeinBytes, SineInMB 0, 17, 9008, 0.009 0x55ad1d904120 1, 17, 112, 0.000 0x55ad1d906460 2, 17, 16384, 0.016 0x55ad1d9064e0 3, 17, 1024, 0.001 0x55ad1d90a4f0 4, 17, 57344, 0.055 0x55ad1d90a900 5, 17, 96892, 0.092 0x55ad1d918910 6, 17, 42375769, 40.413 0x7fed2df9f010 7, 17, 256, 0.000 0x55ad1d8ffca0 8, 17, 101352128, 96.657 0x7fed27ef6010 9, 17, 80240072, 76.523 0x7fed23270010 10, 17, 4899200, 4.672 0x7fed22dc3010 11, 17, 1294296, 1.234 0x7fed22c87010 12, 17, 528003, 0.504 0x7fedc6966010 Total External Memory (DDR) Size = 230870488, 220.175 Alg Init for Layer # - 0 Alg Init for Layer # - 1 Alg Init for Layer # - 2 Alg Init for Layer # - 3 Alg Init for Layer # - 4 Alg Init for Layer # - 5 Alg Init for Layer # - 6 Alg Init for Layer # - 7 Alg Init for Layer # - 8 Alg Init for Layer # - 9 Alg Init for Layer # - 10 Alg Init for Layer # - 11 Alg Init for Layer # - 12 Alg Init for Layer # - 13 Alg Init for Layer # - 14 Alg Init for Layer # - 15 Alg Init for Layer # - 16 Alg Init for Layer # - 17 Alg Init for Layer # - 18 Alg Init for Layer # - 19 Alg Init for Layer # - 20 Alg Init for Layer # - 21 Alg Init for Layer # - 22 Alg Init for Layer # - 23 Alg Init for Layer # - 24 Alg Init for Layer # - 25 Alg Init for Layer # - 26 Alg Init for Layer # - 27 Alg Init for Layer # - 28 Alg Init for Layer # - 29 Alg Init for Layer # - 30 Alg Init for Layer # - 31 Alg Init for Layer # - 32 Alg Init for Layer # - 33 Alg Init for Layer # - 34 Alg Init for Layer # - 35 Alg Init for Layer # - 36 Alg Init for Layer # - 37 Alg Init for Layer # - 38 Alg Init for Layer # - 39 Alg Init for Layer # - 40 Alg Init for Layer # - 41 Alg Init for Layer # - 42 Alg Init for Layer # - 43 Alg Init for Layer # - 44 Alg Init for Layer # - 45 Alg Init for Layer # - 46 Alg Init for Layer # - 47 Alg Init for Layer # - 48 Alg Init for Layer # - 49 Alg Init for Layer # - 50 Alg Init for Layer # - 51 Alg Init for Layer # - 52 Alg Init for Layer # - 53 Alg Init for Layer # - 54 Alg Init for Layer # - 55 Alg Init for Layer # - 56 Alg Init for Layer # - 57 Alg Init for Layer # - 58 Alg Init for Layer # - 59 Alg Init for Layer # - 60 Alg Init for Layer # - 61 Alg Init for Layer # - 62 Alg Init for Layer # - 63 Alg Init for Layer # - 64 Alg Init for Layer # - 65 Alg Init for Layer # - 66 Alg Init for Layer # - 67 Alg Init for Layer # - 68