TDA4VL-Q1: mixedPrecisionFactor got an error during convert our model to TI bin files

?? ?
Prodigy 40 points
Part Number: TDA4VL-Q1
Tool/software:
hi expert:
i have already submit this kind of problem before, but did not get the response from your side.
this is my tidl tools version for model convert.
this is my config file for model convert:
problem is:
if i convert the model with parameter mixedPrecisionFactor = xx
then it would get the assert error
we found the src code for "PC_dsp_test_dl_algo.out"
you can see from our config file ,we did not set the "inElementType" so by your files said:
the default value should be 0
may be i think that because we set "mixedPrecisionFactor" so this "inElementType" would be changed to other value
but we don't know how to avoid this error.
we need use "mixedPrecisionFactor" parameter for more efficiency inference frame rate and higher accuracy inference result.
so please check this bug and fix your code ASAP. and help us to handle this problem. thanks!
5 months ago
0 Chris Tsongas 5 months ago
TI__Genius 16410 points
Hi,
Can you send the import config file? And the model if possible. Looks like you are using a yolo7 model, I cold find a similar one. It looks like your input file is a txt file. These means it is a list of paths to compressed image files (jpg/png). If so then set inFileFormat to 2.
Regards,
Chris
0 ?? ? 5 months ago in reply to Chris Tsongas
Prodigy 40 points
hi, I have already send a email to your colleague(Zhang), maybe he can synchronize information with you
0 Yong Zhang 5 months ago in reply to ?? ?
TI__Mastermind 18061 points
Dear Chris.
upload the onnx file from customer, Linfeng fu.
https://tidrive.ext.ti.com/a/bcDJ4QXAyTl_wMno/72061ab3-cf6d-4d46-9e34-25d8ad61488e?l
it is private data, so provide above link as internal sharing.
Please let me know if you can download that.
And customer will use SDK9.2 for production, but the TIDL has been upgraded to 10.0 to solve some bug in 9.2. Please noted.
thanks a lot!
yong
0 Adam Hua 5 months ago in reply to ?? ?
TI__Expert 5095 points
Can you try with sdk 11.0? we have a sub version of tidl in 11.0 that is compatible with 9.2.
Regards,
Adam
0 Adam Hua 5 months ago in reply to ?? ?
TI__Expert 5095 points
I have test this with tidl 11.0.8 and here is part of the import log (whole log is too long):
Core 0 End of Layer # -   52 with outPtrs[0] = 0x7267f8eb5280
Core 0 Alg Process for Layer # -   53, layer type 1
Processing Layer # -   53
Core 0 End of Layer # -   53 with outPtrs[0] = 0x7267f9221880
Core 0 Alg Process for Layer # -   54, layer type 1
Processing Layer # -   54
Core 0 End of Layer # -   54 with outPtrs[0] = 0x7267f9230e80
Core 0 Alg Process for Layer # -   55, layer type 1
Processing Layer # -   55
Core 0 End of Layer # -   55 with outPtrs[0] = 0x7267f9212680
Core 0 Alg Process for Layer # -   56, layer type 1
Processing Layer # -   56
Core 0 End of Layer # -   56 with outPtrs[0] = 0x7267f91f9500
Core 0 Alg Process for Layer # -   57, layer type 12
Processing Layer # -   57
Core 0 End of Layer # -   57 with outPtrs[0] = 0x7267f8eb5280
Core 0 Alg Process for Layer # -   58, layer type 1
Processing Layer # -   58
Core 0 End of Layer # -   58 with outPtrs[0] = 0x7267f9174100
Core 0 Alg Process for Layer # -   59, layer type 1
Processing Layer # -   59
Core 0 End of Layer # -   59 with outPtrs[0] = 0x7267f9221880
Core 0 Alg Process for Layer # -   60, layer type 21
Processing Layer # -   60
Core 0 End of Layer # -   60 with outPtrs[0] = 0x7267f8eb5280
Core 0 Alg Process for Layer # -   61, layer type 12
Processing Layer # -   61
Core 0 End of Layer # -   61 with outPtrs[0] = 0x7267f8fe3c80
Core 0 Alg Process for Layer # -   62, layer type 1
Processing Layer # -   62
Core 0 End of Layer # -   62 with outPtrs[0] = 0x7267f8b90080
Core 0 Alg Process for Layer # -   63, layer type 1
Processing Layer # -   63
Core 0 End of Layer # -   63 with outPtrs[0] = 0x7267f8f7fc00
Core 0 Alg Process for Layer # -   64, layer type 1
Processing Layer # -   64
Core 0 End of Layer # -   64 with outPtrs[0] = 0x7267f9257000
Core 0 Alg Process for Layer # -   65, layer type 1
Processing Layer # -   65
Core 0 End of Layer # -   65 with outPtrs[0] = 0x7267f8eb5280
Core 0 Alg Process for Layer # -   66, layer type 12
Processing Layer # -   66
Core 0 End of Layer # -   66 with outPtrs[0] = 0x7267f8fe3c80
Core 0 Alg Process for Layer # -   67, layer type 1
Processing Layer # -   67
Core 0 End of Layer # -   67 with outPtrs[0] = 0x7267f8f19300
Core 0 Alg Process for Layer # -   68, layer type 1
Processing Layer # -   68
Core 0 End of Layer # -   68 with outPtrs[0] = 0x7267f8f7fc00
Core 0 Alg Process for Layer # -   69, layer type 12
Processing Layer # -   69
Core 0 End of Layer # -   69 with outPtrs[0] = 0x7267f8fe3c80
Core 0 Alg Process for Layer # -   70, layer type 1
Processing Layer # -   70
Core 0 End of Layer # -   70 with outPtrs[0] = 0x7267f8f19300
Core 0 Alg Process for Layer # -   71, layer type 1
Processing Layer # -   71
Core 0 End of Layer # -   71 with outPtrs[0] = 0x7267f91f9500
Core 0 Alg Process for Layer # -   72, layer type 1
Processing Layer # -   72
Core 0 End of Layer # -   72 with outPtrs[0] = 0x7267f8b90080
Core 0 Alg Process for Layer # -   73, layer type 1
Processing Layer # -   73
Core 0 End of Layer # -   73 with outPtrs[0] = 0x7267f8f7fc00
Core 0 Alg Process for Layer # -   74, layer type 12
Processing Layer # -   74
Core 0 End of Layer # -   74 with outPtrs[0] = 0x7267f8fe3c80
Core 0 Alg Process for Layer # -   75, layer type 1
Processing Layer # -   75
Core 0 End of Layer # -   75 with outPtrs[0] = 0x7267f91a6300
Core 0 Alg Process for Layer # -   76, layer type 1
Processing Layer # -   76
Core 0 End of Layer # -   76 with outPtrs[0] = 0x7267f9230e80
Core 0 Alg Process for Layer # -   77, layer type 12
Processing Layer # -   77
Core 0 End of Layer # -   77 with outPtrs[0] = 0x7267f9174100
Core 0 Alg Process for Layer # -   78, layer type 1
Processing Layer # -   78
Core 0 End of Layer # -   78 with outPtrs[0] = 0x7267f9221880
Core 0 Alg Process for Layer # -   79, layer type 1
Processing Layer # -   79
Core 0 End of Layer # -   79 with outPtrs[0] = 0x7267f923d780
Core 0 Alg Process for Layer # -   80, layer type 1
Processing Layer # -   80
Core 0 End of Layer # -   80 with outPtrs[0] = 0x7267f9212680
Core 0 Alg Process for Layer # -   81, layer type 1
Processing Layer # -   81
Core 0 End of Layer # -   81 with outPtrs[0] = 0x7267f9230e80
Core 0 Alg Process for Layer # -   82, layer type 12
Processing Layer # -   82
Core 0 End of Layer # -   82 with outPtrs[0] = 0x7267f9174100
Core 0 Alg Process for Layer # -   83, layer type 1
Processing Layer # -   83
Core 0 End of Layer # -   83 with outPtrs[0] = 0x7267f9257000
Core 0 Alg Process for Layer # -   84, layer type 1
Processing Layer # -   84
Core 0 End of Layer # -   84 with outPtrs[0] = 0x7267f9174100
Core 0 Alg Process for Layer # -   85, layer type 1
Processing Layer # -   85
Core 0 End of Layer # -   85 with outPtrs[0] = 0x7267f923d780
Core 0 Alg Process for Layer # -   86, layer type 8
Processing Layer # -   86
Core 0 End of Layer # -   86 with outPtrs[0] = 0x60108e80feb0
Core 0 Alg Process for Layer # -   87, layer type 0
TIDL_process is completed with handle : 0x60108e7da480 
Skipping static gen-set function
TIDL_deactivate is called with handle : 0x60108e7da480 - Copying handle of size 19736 from 0x60108e7e4780 to 0x60108e7da480 


cd /home/ht/edgeai/edgeai-tidl-tools/tools/AM68A/tidl_tools && ./ti_cnnperfsim.out /home/ht/customers/longhorn/yolov7/output/yolov7_net.bin_autoMixedPrecArtifacts/import.txt_MP_layer_86.perf_sim_config.txt /tmp 83887681 0 2
========================== [Memory Planning Started] ==========================


------------------------- Network Compiler Traces ------------------------------
Successful Memory Allocation
Successful Workload Creation

========================= [Memory Planning Completed] =========================

Network buffer segments:
buf(0), offset(       0), size(  162816)
buf(1), offset(  980160), size( 1756912)
buf(2), offset(  162816), size(  817344)
buf(3), offset( 2737088), size(  676488)
Removing mixed precision artifacts
Empty prototxt path, running calibration
Num of Layer Detected :  88 

--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

  Num|TIDL Layer Name               |Out Data Name                                     |Group |#Ins  |#Outs |Inbuf Ids                       |Outbuf Id |In NCHW                             |Out NCHW                            |MACS       |

--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

    0|TIDL_DataLayer                |images                                            |     0|    -1|     1|  x   x   x   x   x   x   x   x |  0       |       0        0        0        0        0        0 |       1        1        1        3      640      640 |         0 |

    1|TIDL_ConvolutionLayer         |onnx::Conv_112                                    |     0|     1|     1|  0   x   x   x   x   x   x   x |  1       |       1        1        1        3      640      640 |       1        1        1       16      320      320 |  44236800 |

    2|TIDL_ConvolutionLayer         |onnx::Conv_114                                    |     0|     1|     1|  1   x   x   x   x   x   x   x |  2       |       1        1        1       16      320      320 |       1        1        1       32      160      160 | 117964800 |

    3|TIDL_ConvolutionLayer         |onnx::Conv_118                                    |     0|     1|     1|  2   x   x   x   x   x   x   x |  3       |       1        1        1       32      160      160 |       1        1        1       16      160      160 |  13107200 |

    4|TIDL_ConvolutionLayer         |onnx::Concat_116                                  |     0|     1|     1|  2   x   x   x   x   x   x   x |  4       |       1        1        1       32      160      160 |       1        1        1       16      160      160 |  13107200 |

    5|TIDL_ConvolutionLayer         |onnx::Conv_120                                    |     0|     1|     1|  3   x   x   x   x   x   x   x |  5       |       1        1        1       16      160      160 |       1        1        1       16      160      160 |  58982400 |

    6|TIDL_ConvolutionLayer         |onnx::Concat_122                                  |     0|     1|     1|  5   x   x   x   x   x   x   x |  6       |       1        1        1       16      160      160 |       1        1        1       16      160      160 |  58982400 |

    7|TIDL_ConcatLayer              |input.24                                          |     0|     4|     1|  6   5   3   4   x   x   x   x |  7       |       1        1        1       16      160      160 |       1        1        1       64      160      160 |   1638400 |

    8|TIDL_ConvolutionLayer         |onnx::MaxPool_125                                 |     0|     1|     1|  7   x   x   x   x   x   x   x |  8       |       1        1        1       64      160      160 |       1        1        1       32      160      160 |  52428800 |

    9|TIDL_PoolingLayer             |input.32                                          |     0|     1|     1|  8   x   x   x   x   x   x   x |  9       |       1        1        1       32      160      160 |       1        1        1       32       80       80 |    819200 |

   10|TIDL_ConvolutionLayer         |onnx::Conv_130                                    |     0|     1|     1|  9   x   x   x   x   x   x   x | 10       |       1        1        1       32       80       80 |       1        1        1       32       80       80 |   6553600 |

   11|TIDL_ConvolutionLayer         |onnx::Concat_128                                  |     0|     1|     1|  9   x   x   x   x   x   x   x | 11       |       1        1        1       32       80       80 |       1        1        1       32       80       80 |   6553600 |

   12|TIDL_ConvolutionLayer         |onnx::Conv_132                                    |     0|     1|     1| 10   x   x   x   x   x   x   x | 12       |       1        1        1       32       80       80 |       1        1        1       32       80       80 |  58982400 |

   13|TIDL_ConvolutionLayer         |onnx::Concat_134                                  |     0|     1|     1| 12   x   x   x   x   x   x   x | 13       |       1        1        1       32       80       80 |       1        1        1       32       80       80 |  58982400 |

   14|TIDL_ConcatLayer              |input.52                                          |     0|     4|     1| 13  12  10  11   x   x   x   x | 14       |       1        1        1       32       80       80 |       1        1        1      128       80       80 |    819200 |

   15|TIDL_ConvolutionLayer         |onnx::MaxPool_137                                 |     0|     1|     1| 14   x   x   x   x   x   x   x | 15       |       1        1        1      128       80       80 |       1        1        1       64       80       80 |  52428800 |

   16|TIDL_PoolingLayer             |input.60                                          |     0|     1|     1| 15   x   x   x   x   x   x   x | 16       |       1        1        1       64       80       80 |       1        1        1       64       40       40 |    409600 |

   17|TIDL_ConvolutionLayer         |onnx::Concat_213                                  |     0|     1|     1| 15   x   x   x   x   x   x   x | 17       |       1        1        1       64       80       80 |       1        1        1       32       80       80 |  13107200 |

   18|TIDL_ConvolutionLayer         |onnx::Conv_142                                    |     0|     1|     1| 16   x   x   x   x   x   x   x | 18       |       1        1        1       64       40       40 |       1        1        1       64       40       40 |   6553600 |

   19|TIDL_ConvolutionLayer         |onnx::Concat_140                                  |     0|     1|     1| 16   x   x   x   x   x   x   x | 19       |       1        1        1       64       40       40 |       1        1        1       64       40       40 |   6553600 |

   20|TIDL_ConvolutionLayer         |onnx::Conv_144                                    |     0|     1|     1| 18   x   x   x   x   x   x   x | 20       |       1        1        1       64       40       40 |       1        1        1       64       40       40 |  58982400 |

   21|TIDL_ConvolutionLayer         |onnx::Concat_146                                  |     0|     1|     1| 20   x   x   x   x   x   x   x | 21       |       1        1        1       64       40       40 |       1        1        1       64       40       40 |  58982400 |

   22|TIDL_ConcatLayer              |input.80                                          |     0|     4|     1| 21  20  18  19   x   x   x   x | 22       |       1        1        1       64       40       40 |       1        1        1      256       40       40 |    409600 |

   23|TIDL_ConvolutionLayer         |onnx::MaxPool_149                                 |     0|     1|     1| 22   x   x   x   x   x   x   x | 23       |       1        1        1      256       40       40 |       1        1        1      128       40       40 |  52428800 |

   24|TIDL_PoolingLayer             |input.88                                          |     0|     1|     1| 23   x   x   x   x   x   x   x | 24       |       1        1        1      128       40       40 |       1        1        1      128       20       20 |    204800 |

   25|TIDL_ConvolutionLayer         |onnx::Concat_192                                  |     0|     1|     1| 23   x   x   x   x   x   x   x | 25       |       1        1        1      128       40       40 |       1        1        1       64       40       40 |  13107200 |

   26|TIDL_ConvolutionLayer         |onnx::Conv_154                                    |     0|     1|     1| 24   x   x   x   x   x   x   x | 26       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |   6553600 |

   27|TIDL_ConvolutionLayer         |onnx::Concat_152                                  |     0|     1|     1| 24   x   x   x   x   x   x   x | 27       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |   6553600 |

   28|TIDL_ConvolutionLayer         |onnx::Conv_156                                    |     0|     1|     1| 26   x   x   x   x   x   x   x | 28       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |  58982400 |

   29|TIDL_ConvolutionLayer         |onnx::Concat_158                                  |     0|     1|     1| 28   x   x   x   x   x   x   x | 29       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |  58982400 |

   30|TIDL_ConcatLayer              |input.108                                         |     0|     4|     1| 29  28  26  27   x   x   x   x | 30       |       1        1        1      128       20       20 |       1        1        1      512       20       20 |    204800 |

   31|TIDL_ConvolutionLayer         |onnx::Conv_161                                    |     0|     1|     1| 30   x   x   x   x   x   x   x | 31       |       1        1        1      512       20       20 |       1        1        1      256       20       20 |  52428800 |

   32|TIDL_ConvolutionLayer         |onnx::Concat_163                                  |     0|     1|     1| 31   x   x   x   x   x   x   x | 32       |       1        1        1      256       20       20 |       1        1        1      128       20       20 |  13107200 |

   33|TIDL_ConvolutionLayer         |onnx::MaxPool_165                                 |     0|     1|     1| 31   x   x   x   x   x   x   x | 33       |       1        1        1      256       20       20 |       1        1        1      128       20       20 |  13107200 |

   34|TIDL_PoolingLayer             |onnx::MaxPool_166                                 |     0|     1|     1| 33   x   x   x   x   x   x   x | 34       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |    460800 |

   35|TIDL_PoolingLayer             |onnx::MaxPool_168                                 |     0|     1|     1| 33   x   x   x   x   x   x   x | 35       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |    460800 |

   36|TIDL_PoolingLayer             |onnx::MaxPool_172                                 |     0|     1|     1| 33   x   x   x   x   x   x   x | 36       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |    460800 |

   37|TIDL_PoolingLayer             |onnx::Concat_167                                  |     0|     1|     1| 34   x   x   x   x   x   x   x | 37       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |    460800 |

   38|TIDL_PoolingLayer             |onnx::MaxPool_169                                 |     0|     1|     1| 35   x   x   x   x   x   x   x | 38       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |    460800 |

   39|TIDL_PoolingLayer             |onnx::MaxPool_173                                 |     0|     1|     1| 36   x   x   x   x   x   x   x | 39       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |    460800 |

   40|TIDL_PoolingLayer             |onnx::MaxPool_170                                 |     0|     1|     1| 38   x   x   x   x   x   x   x | 40       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |    460800 |

   41|TIDL_PoolingLayer             |onnx::MaxPool_174                                 |     0|     1|     1| 39   x   x   x   x   x   x   x | 41       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |    460800 |

   42|TIDL_PoolingLayer             |onnx::Concat_171                                  |     0|     1|     1| 40   x   x   x   x   x   x   x | 42       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |    460800 |

   43|TIDL_PoolingLayer             |onnx::MaxPool_175                                 |     0|     1|     1| 41   x   x   x   x   x   x   x | 43       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |    460800 |

   44|TIDL_PoolingLayer             |onnx::MaxPool_176                                 |     0|     1|     1| 43   x   x   x   x   x   x   x | 44       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |    460800 |

   45|TIDL_PoolingLayer             |onnx::Concat_177                                  |     0|     1|     1| 44   x   x   x   x   x   x   x | 45       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |    460800 |

   46|TIDL_ConcatLayer              |input.124                                         |     0|     4|     1| 45  42  37  33   x   x   x   x | 46       |       1        1        1      128       20       20 |       1        1        1      512       20       20 |    204800 |

   47|TIDL_ConvolutionLayer         |onnx::Concat_180                                  |     0|     1|     1| 46   x   x   x   x   x   x   x | 47       |       1        1        1      512       20       20 |       1        1        1      128       20       20 |  26214400 |

   48|TIDL_ConcatLayer              |input.132                                         |     0|     2|     1| 47  32   x   x   x   x   x   x | 48       |       1        1        1      128       20       20 |       1        1        1      256       20       20 |    102400 |

   49|TIDL_ConvolutionLayer         |onnx::Conv_183                                    |     0|     1|     1| 48   x   x   x   x   x   x   x | 49       |       1        1        1      256       20       20 |       1        1        1      128       20       20 |  13107200 |

   50|TIDL_ConvolutionLayer         |onnx::Resize_185                                  |     0|     1|     1| 49   x   x   x   x   x   x   x | 50       |       1        1        1      128       20       20 |       1        1        1       64       20       20 |   3276800 |

   51|TIDL_ResizeLayer              |onnx::Concat_190                                  |     0|     1|     1| 50   x   x   x   x   x   x   x | 51       |       1        1        1       64       20       20 |       1        1        1       64       40       40 |    409600 |

   52|TIDL_ConcatLayer              |input.148                                         |     0|     2|     1| 25  51   x   x   x   x   x   x | 52       |       1        1        1       64       40       40 |       1        1        1      128       40       40 |    204800 |

   53|TIDL_ConvolutionLayer         |onnx::Conv_197                                    |     0|     1|     1| 52   x   x   x   x   x   x   x | 53       |       1        1        1      128       40       40 |       1        1        1       32       40       40 |   6553600 |

   54|TIDL_ConvolutionLayer         |onnx::Concat_195                                  |     0|     1|     1| 52   x   x   x   x   x   x   x | 54       |       1        1        1      128       40       40 |       1        1        1       32       40       40 |   6553600 |

   55|TIDL_ConvolutionLayer         |onnx::Conv_199                                    |     0|     1|     1| 53   x   x   x   x   x   x   x | 55       |       1        1        1       32       40       40 |       1        1        1       32       40       40 |  14745600 |

   56|TIDL_ConvolutionLayer         |onnx::Concat_201                                  |     0|     1|     1| 55   x   x   x   x   x   x   x | 56       |       1        1        1       32       40       40 |       1        1        1       32       40       40 |  14745600 |

   57|TIDL_ConcatLayer              |input.168                                         |     0|     4|     1| 56  55  53  54   x   x   x   x | 57       |       1        1        1       32       40       40 |       1        1        1      128       40       40 |    204800 |

   58|TIDL_ConvolutionLayer         |onnx::Conv_204                                    |     0|     1|     1| 57   x   x   x   x   x   x   x | 58       |       1        1        1      128       40       40 |       1        1        1       64       40       40 |  13107200 |

   59|TIDL_ConvolutionLayer         |onnx::Resize_206                                  |     0|     1|     1| 58   x   x   x   x   x   x   x | 59       |       1        1        1       64       40       40 |       1        1        1       32       40       40 |   3276800 |

   60|TIDL_ResizeLayer              |onnx::Concat_211                                  |     0|     1|     1| 59   x   x   x   x   x   x   x | 60       |       1        1        1       32       40       40 |       1        1        1       32       80       80 |    819200 |

   61|TIDL_ConcatLayer              |input.184                                         |     0|     2|     1| 17  60   x   x   x   x   x   x | 61       |       1        1        1       32       80       80 |       1        1        1       64       80       80 |    409600 |

   62|TIDL_ConvolutionLayer         |onnx::Conv_218                                    |     0|     1|     1| 61   x   x   x   x   x   x   x | 62       |       1        1        1       64       80       80 |       1        1        1       16       80       80 |   6553600 |

   63|TIDL_ConvolutionLayer         |onnx::Concat_216                                  |     0|     1|     1| 61   x   x   x   x   x   x   x | 63       |       1        1        1       64       80       80 |       1        1        1       16       80       80 |   6553600 |

   64|TIDL_ConvolutionLayer         |onnx::Conv_220                                    |     0|     1|     1| 62   x   x   x   x   x   x   x | 64       |       1        1        1       16       80       80 |       1        1        1       16       80       80 |  14745600 |

   65|TIDL_ConvolutionLayer         |onnx::Concat_222                                  |     0|     1|     1| 64   x   x   x   x   x   x   x | 65       |       1        1        1       16       80       80 |       1        1        1       16       80       80 |  14745600 |

   66|TIDL_ConcatLayer              |input.204                                         |     0|     4|     1| 65  64  62  63   x   x   x   x | 66       |       1        1        1       16       80       80 |       1        1        1       64       80       80 |    409600 |

   67|TIDL_ConvolutionLayer         |onnx::Conv_225                                    |     0|     1|     1| 66   x   x   x   x   x   x   x | 67       |       1        1        1       64       80       80 |       1        1        1       32       80       80 |  13107200 |

   68|TIDL_ConvolutionLayer         |onnx::Concat_227                                  |     0|     1|     1| 67   x   x   x   x   x   x   x | 68       |       1        1        1       32       80       80 |       1        1        1       64       40       40 |  29491200 |

   69|TIDL_ConcatLayer              |input.216                                         |     0|     2|     1| 68  58   x   x   x   x   x   x | 69       |       1        1        1       64       40       40 |       1        1        1      128       40       40 |    204800 |

   70|TIDL_ConvolutionLayer         |onnx::Conv_232                                    |     0|     1|     1| 69   x   x   x   x   x   x   x | 70       |       1        1        1      128       40       40 |       1        1        1       32       40       40 |   6553600 |

   71|TIDL_ConvolutionLayer         |onnx::Concat_230                                  |     0|     1|     1| 69   x   x   x   x   x   x   x | 71       |       1        1        1      128       40       40 |       1        1        1       32       40       40 |   6553600 |

   72|TIDL_ConvolutionLayer         |onnx::Conv_234                                    |     0|     1|     1| 70   x   x   x   x   x   x   x | 72       |       1        1        1       32       40       40 |       1        1        1       32       40       40 |  14745600 |

   73|TIDL_ConvolutionLayer         |onnx::Concat_236                                  |     0|     1|     1| 72   x   x   x   x   x   x   x | 73       |       1        1        1       32       40       40 |       1        1        1       32       40       40 |  14745600 |

   74|TIDL_ConcatLayer              |input.236                                         |     0|     4|     1| 73  72  70  71   x   x   x   x | 74       |       1        1        1       32       40       40 |       1        1        1      128       40       40 |    204800 |

   75|TIDL_ConvolutionLayer         |onnx::Conv_239                                    |     0|     1|     1| 74   x   x   x   x   x   x   x | 75       |       1        1        1      128       40       40 |       1        1        1       64       40       40 |  13107200 |

   76|TIDL_ConvolutionLayer         |onnx::Concat_241                                  |     0|     1|     1| 75   x   x   x   x   x   x   x | 76       |       1        1        1       64       40       40 |       1        1        1      128       20       20 |  29491200 |

   77|TIDL_ConcatLayer              |input.248                                         |     0|     2|     1| 76  49   x   x   x   x   x   x | 77       |       1        1        1      128       20       20 |       1        1        1      256       20       20 |    102400 |

   78|TIDL_ConvolutionLayer         |onnx::Conv_246                                    |     0|     1|     1| 77   x   x   x   x   x   x   x | 78       |       1        1        1      256       20       20 |       1        1        1       64       20       20 |   6553600 |

   79|TIDL_ConvolutionLayer         |onnx::Concat_244                                  |     0|     1|     1| 77   x   x   x   x   x   x   x | 79       |       1        1        1      256       20       20 |       1        1        1       64       20       20 |   6553600 |

   80|TIDL_ConvolutionLayer         |onnx::Conv_248                                    |     0|     1|     1| 78   x   x   x   x   x   x   x | 80       |       1        1        1       64       20       20 |       1        1        1       64       20       20 |  14745600 |

   81|TIDL_ConvolutionLayer         |onnx::Concat_250                                  |     0|     1|     1| 80   x   x   x   x   x   x   x | 81       |       1        1        1       64       20       20 |       1        1        1       64       20       20 |  14745600 |

   82|TIDL_ConcatLayer              |input.268                                         |     0|     4|     1| 81  80  78  79   x   x   x   x | 82       |       1        1        1       64       20       20 |       1        1        1      256       20       20 |    102400 |

   83|TIDL_ConvolutionLayer         |onnx::Conv_253                                    |     0|     1|     1| 82   x   x   x   x   x   x   x | 83       |       1        1        1      256       20       20 |       1        1        1      128       20       20 |  13107200 |

   84|TIDL_ConvolutionLayer         |onnx::Conv_255                                    |     0|     1|     1| 83   x   x   x   x   x   x   x | 84       |       1        1        1      128       20       20 |       1        1        1      256       20       20 | 117964800 |

   85|TIDL_ConvolutionLayer         |onnx::Sigmoid_256                                 |     0|     1|     1| 84   x   x   x   x   x   x   x | 85       |       1        1        1      256       20       20 |       1        1        1       24       20       20 |   2457600 |

   86|TIDL_BatchNormLayer           |output1                                           |     0|     1|     1| 85   x   x   x   x   x   x   x | 86       |       1        1        1       24       20       20 |       1        1        1       24       20       20 |      9600 |

   87|TIDL_DataLayer                |output1                                           |     0|     1|    -1| 86   x   x   x   x   x   x   x |  0       |       1        1        1       24       20       20 |       0        0        0        0        0        0 |         0 |

--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

Total Giga Macs : 1.4233

--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

Num of Layer Detected :  88 

--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

  Num|TIDL Layer Name               |Out Data Name                                     |Group |#Ins  |#Outs |Inbuf Ids                       |Outbuf Id |In NCHW                             |Out NCHW                            |MACS       |

--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

    0|TIDL_DataLayer                |images                                            |     0|    -1|     1|  x   x   x   x   x   x   x   x |  0       |       0        0        0        0        0        0 |       1        1        1        3      640      640 |         0 |

    1|TIDL_ConvolutionLayer         |onnx::Conv_112                                    |     0|     1|     1|  0   x   x   x   x   x   x   x |  1       |       1        1        1        3      640      640 |       1        1        1       16      320      320 |  44236800 |

    2|TIDL_ConvolutionLayer         |onnx::Conv_114                                    |     0|     1|     1|  1   x   x   x   x   x   x   x |  2       |       1        1        1       16      320      320 |       1        1        1       32      160      160 | 117964800 |

    3|TIDL_ConvolutionLayer         |onnx::Conv_118                                    |     0|     1|     1|  2   x   x   x   x   x   x   x |  3       |       1        1        1       32      160      160 |       1        1        1       16      160      160 |  13107200 |

    4|TIDL_ConvolutionLayer         |onnx::Concat_116                                  |     0|     1|     1|  2   x   x   x   x   x   x   x |  4       |       1        1        1       32      160      160 |       1        1        1       16      160      160 |  13107200 |

    5|TIDL_ConvolutionLayer         |onnx::Conv_120                                    |     0|     1|     1|  3   x   x   x   x   x   x   x |  5       |       1        1        1       16      160      160 |       1        1        1       16      160      160 |  58982400 |

    6|TIDL_ConvolutionLayer         |onnx::Concat_122                                  |     0|     1|     1|  5   x   x   x   x   x   x   x |  6       |       1        1        1       16      160      160 |       1        1        1       16      160      160 |  58982400 |

    7|TIDL_ConcatLayer              |input.24                                          |     0|     4|     1|  6   5   3   4   x   x   x   x |  7       |       1        1        1       16      160      160 |       1        1        1       64      160      160 |   1638400 |

    8|TIDL_ConvolutionLayer         |onnx::MaxPool_125                                 |     0|     1|     1|  7   x   x   x   x   x   x   x |  8       |       1        1        1       64      160      160 |       1        1        1       32      160      160 |  52428800 |

    9|TIDL_PoolingLayer             |input.32                                          |     0|     1|     1|  8   x   x   x   x   x   x   x |  9       |       1        1        1       32      160      160 |       1        1        1       32       80       80 |    819200 |

   10|TIDL_ConvolutionLayer         |onnx::Conv_130                                    |     0|     1|     1|  9   x   x   x   x   x   x   x | 10       |       1        1        1       32       80       80 |       1        1        1       32       80       80 |   6553600 |

   11|TIDL_ConvolutionLayer         |onnx::Concat_128                                  |     0|     1|     1|  9   x   x   x   x   x   x   x | 11       |       1        1        1       32       80       80 |       1        1        1       32       80       80 |   6553600 |

   12|TIDL_ConvolutionLayer         |onnx::Conv_132                                    |     0|     1|     1| 10   x   x   x   x   x   x   x | 12       |       1        1        1       32       80       80 |       1        1        1       32       80       80 |  58982400 |

   13|TIDL_ConvolutionLayer         |onnx::Concat_134                                  |     0|     1|     1| 12   x   x   x   x   x   x   x | 13       |       1        1        1       32       80       80 |       1        1        1       32       80       80 |  58982400 |

   14|TIDL_ConcatLayer              |input.52                                          |     0|     4|     1| 13  12  10  11   x   x   x   x | 14       |       1        1        1       32       80       80 |       1        1        1      128       80       80 |    819200 |

   15|TIDL_ConvolutionLayer         |onnx::MaxPool_137                                 |     0|     1|     1| 14   x   x   x   x   x   x   x | 15       |       1        1        1      128       80       80 |       1        1        1       64       80       80 |  52428800 |

   16|TIDL_PoolingLayer             |input.60                                          |     0|     1|     1| 15   x   x   x   x   x   x   x | 16       |       1        1        1       64       80       80 |       1        1        1       64       40       40 |    409600 |

   17|TIDL_ConvolutionLayer         |onnx::Concat_213                                  |     0|     1|     1| 15   x   x   x   x   x   x   x | 17       |       1        1        1       64       80       80 |       1        1        1       32       80       80 |  13107200 |

   18|TIDL_ConvolutionLayer         |onnx::Conv_142                                    |     0|     1|     1| 16   x   x   x   x   x   x   x | 18       |       1        1        1       64       40       40 |       1        1        1       64       40       40 |   6553600 |

   19|TIDL_ConvolutionLayer         |onnx::Concat_140                                  |     0|     1|     1| 16   x   x   x   x   x   x   x | 19       |       1        1        1       64       40       40 |       1        1        1       64       40       40 |   6553600 |

   20|TIDL_ConvolutionLayer         |onnx::Conv_144                                    |     0|     1|     1| 18   x   x   x   x   x   x   x | 20       |       1        1        1       64       40       40 |       1        1        1       64       40       40 |  58982400 |

   21|TIDL_ConvolutionLayer         |onnx::Concat_146                                  |     0|     1|     1| 20   x   x   x   x   x   x   x | 21       |       1        1        1       64       40       40 |       1        1        1       64       40       40 |  58982400 |

   22|TIDL_ConcatLayer              |input.80                                          |     0|     4|     1| 21  20  18  19   x   x   x   x | 22       |       1        1        1       64       40       40 |       1        1        1      256       40       40 |    409600 |

   23|TIDL_ConvolutionLayer         |onnx::MaxPool_149                                 |     0|     1|     1| 22   x   x   x   x   x   x   x | 23       |       1        1        1      256       40       40 |       1        1        1      128       40       40 |  52428800 |

   24|TIDL_PoolingLayer             |input.88                                          |     0|     1|     1| 23   x   x   x   x   x   x   x | 24       |       1        1        1      128       40       40 |       1        1        1      128       20       20 |    204800 |

   25|TIDL_ConvolutionLayer         |onnx::Concat_192                                  |     0|     1|     1| 23   x   x   x   x   x   x   x | 25       |       1        1        1      128       40       40 |       1        1        1       64       40       40 |  13107200 |

   26|TIDL_ConvolutionLayer         |onnx::Conv_154                                    |     0|     1|     1| 24   x   x   x   x   x   x   x | 26       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |   6553600 |

   27|TIDL_ConvolutionLayer         |onnx::Concat_152                                  |     0|     1|     1| 24   x   x   x   x   x   x   x | 27       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |   6553600 |

   28|TIDL_ConvolutionLayer         |onnx::Conv_156                                    |     0|     1|     1| 26   x   x   x   x   x   x   x | 28       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |  58982400 |

   29|TIDL_ConvolutionLayer         |onnx::Concat_158                                  |     0|     1|     1| 28   x   x   x   x   x   x   x | 29       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |  58982400 |

   30|TIDL_ConcatLayer              |input.108                                         |     0|     4|     1| 29  28  26  27   x   x   x   x | 30       |       1        1        1      128       20       20 |       1        1        1      512       20       20 |    204800 |

   31|TIDL_ConvolutionLayer         |onnx::Conv_161                                    |     0|     1|     1| 30   x   x   x   x   x   x   x | 31       |       1        1        1      512       20       20 |       1        1        1      256       20       20 |  52428800 |

   32|TIDL_ConvolutionLayer         |onnx::Concat_163                                  |     0|     1|     1| 31   x   x   x   x   x   x   x | 32       |       1        1        1      256       20       20 |       1        1        1      128       20       20 |  13107200 |

   33|TIDL_ConvolutionLayer         |onnx::MaxPool_165                                 |     0|     1|     1| 31   x   x   x   x   x   x   x | 33       |       1        1        1      256       20       20 |       1        1        1      128       20       20 |  13107200 |

   34|TIDL_PoolingLayer             |onnx::MaxPool_166                                 |     0|     1|     1| 33   x   x   x   x   x   x   x | 34       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |    460800 |

   35|TIDL_PoolingLayer             |onnx::MaxPool_168                                 |     0|     1|     1| 33   x   x   x   x   x   x   x | 35       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |    460800 |

   36|TIDL_PoolingLayer             |onnx::MaxPool_172                                 |     0|     1|     1| 33   x   x   x   x   x   x   x | 36       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |    460800 |

   37|TIDL_PoolingLayer             |onnx::Concat_167                                  |     0|     1|     1| 34   x   x   x   x   x   x   x | 37       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |    460800 |

   38|TIDL_PoolingLayer             |onnx::MaxPool_169                                 |     0|     1|     1| 35   x   x   x   x   x   x   x | 38       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |    460800 |

   39|TIDL_PoolingLayer             |onnx::MaxPool_173                                 |     0|     1|     1| 36   x   x   x   x   x   x   x | 39       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |    460800 |

   40|TIDL_PoolingLayer             |onnx::MaxPool_170                                 |     0|     1|     1| 38   x   x   x   x   x   x   x | 40       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |    460800 |

   41|TIDL_PoolingLayer             |onnx::MaxPool_174                                 |     0|     1|     1| 39   x   x   x   x   x   x   x | 41       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |    460800 |

   42|TIDL_PoolingLayer             |onnx::Concat_171                                  |     0|     1|     1| 40   x   x   x   x   x   x   x | 42       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |    460800 |

   43|TIDL_PoolingLayer             |onnx::MaxPool_175                                 |     0|     1|     1| 41   x   x   x   x   x   x   x | 43       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |    460800 |

   44|TIDL_PoolingLayer             |onnx::MaxPool_176                                 |     0|     1|     1| 43   x   x   x   x   x   x   x | 44       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |    460800 |

   45|TIDL_PoolingLayer             |onnx::Concat_177                                  |     0|     1|     1| 44   x   x   x   x   x   x   x | 45       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |    460800 |

   46|TIDL_ConcatLayer              |input.124                                         |     0|     4|     1| 45  42  37  33   x   x   x   x | 46       |       1        1        1      128       20       20 |       1        1        1      512       20       20 |    204800 |

   47|TIDL_ConvolutionLayer         |onnx::Concat_180                                  |     0|     1|     1| 46   x   x   x   x   x   x   x | 47       |       1        1        1      512       20       20 |       1        1        1      128       20       20 |  26214400 |

   48|TIDL_ConcatLayer              |input.132                                         |     0|     2|     1| 47  32   x   x   x   x   x   x | 48       |       1        1        1      128       20       20 |       1        1        1      256       20       20 |    102400 |

   49|TIDL_ConvolutionLayer         |onnx::Conv_183                                    |     0|     1|     1| 48   x   x   x   x   x   x   x | 49       |       1        1        1      256       20       20 |       1        1        1      128       20       20 |  13107200 |

   50|TIDL_ConvolutionLayer         |onnx::Resize_185                                  |     0|     1|     1| 49   x   x   x   x   x   x   x | 50       |       1        1        1      128       20       20 |       1        1        1       64       20       20 |   3276800 |

   51|TIDL_ResizeLayer              |onnx::Concat_190                                  |     0|     1|     1| 50   x   x   x   x   x   x   x | 51       |       1        1        1       64       20       20 |       1        1        1       64       40       40 |    409600 |

   52|TIDL_ConcatLayer              |input.148                                         |     0|     2|     1| 25  51   x   x   x   x   x   x | 52       |       1        1        1       64       40       40 |       1        1        1      128       40       40 |    204800 |

   53|TIDL_ConvolutionLayer         |onnx::Conv_197                                    |     0|     1|     1| 52   x   x   x   x   x   x   x | 53       |       1        1        1      128       40       40 |       1        1        1       32       40       40 |   6553600 |

   54|TIDL_ConvolutionLayer         |onnx::Concat_195                                  |     0|     1|     1| 52   x   x   x   x   x   x   x | 54       |       1        1        1      128       40       40 |       1        1        1       32       40       40 |   6553600 |

   55|TIDL_ConvolutionLayer         |onnx::Conv_199                                    |     0|     1|     1| 53   x   x   x   x   x   x   x | 55       |       1        1        1       32       40       40 |       1        1        1       32       40       40 |  14745600 |

   56|TIDL_ConvolutionLayer         |onnx::Concat_201                                  |     0|     1|     1| 55   x   x   x   x   x   x   x | 56       |       1        1        1       32       40       40 |       1        1        1       32       40       40 |  14745600 |

   57|TIDL_ConcatLayer              |input.168                                         |     0|     4|     1| 56  55  53  54   x   x   x   x | 57       |       1        1        1       32       40       40 |       1        1        1      128       40       40 |    204800 |

   58|TIDL_ConvolutionLayer         |onnx::Conv_204                                    |     0|     1|     1| 57   x   x   x   x   x   x   x | 58       |       1        1        1      128       40       40 |       1        1        1       64       40       40 |  13107200 |

   59|TIDL_ConvolutionLayer         |onnx::Resize_206                                  |     0|     1|     1| 58   x   x   x   x   x   x   x | 59       |       1        1        1       64       40       40 |       1        1        1       32       40       40 |   3276800 |

   60|TIDL_ResizeLayer              |onnx::Concat_211                                  |     0|     1|     1| 59   x   x   x   x   x   x   x | 60       |       1        1        1       32       40       40 |       1        1        1       32       80       80 |    819200 |

   61|TIDL_ConcatLayer              |input.184                                         |     0|     2|     1| 17  60   x   x   x   x   x   x | 61       |       1        1        1       32       80       80 |       1        1        1       64       80       80 |    409600 |

   62|TIDL_ConvolutionLayer         |onnx::Conv_218                                    |     0|     1|     1| 61   x   x   x   x   x   x   x | 62       |       1        1        1       64       80       80 |       1        1        1       16       80       80 |   6553600 |

   63|TIDL_ConvolutionLayer         |onnx::Concat_216                                  |     0|     1|     1| 61   x   x   x   x   x   x   x | 63       |       1        1        1       64       80       80 |       1        1        1       16       80       80 |   6553600 |

   64|TIDL_ConvolutionLayer         |onnx::Conv_220                                    |     0|     1|     1| 62   x   x   x   x   x   x   x | 64       |       1        1        1       16       80       80 |       1        1        1       16       80       80 |  14745600 |

   65|TIDL_ConvolutionLayer         |onnx::Concat_222                                  |     0|     1|     1| 64   x   x   x   x   x   x   x | 65       |       1        1        1       16       80       80 |       1        1        1       16       80       80 |  14745600 |

   66|TIDL_ConcatLayer              |input.204                                         |     0|     4|     1| 65  64  62  63   x   x   x   x | 66       |       1        1        1       16       80       80 |       1        1        1       64       80       80 |    409600 |

   67|TIDL_ConvolutionLayer         |onnx::Conv_225                                    |     0|     1|     1| 66   x   x   x   x   x   x   x | 67       |       1        1        1       64       80       80 |       1        1        1       32       80       80 |  13107200 |

   68|TIDL_ConvolutionLayer         |onnx::Concat_227                                  |     0|     1|     1| 67   x   x   x   x   x   x   x | 68       |       1        1        1       32       80       80 |       1        1        1       64       40       40 |  29491200 |

   69|TIDL_ConcatLayer              |input.216                                         |     0|     2|     1| 68  58   x   x   x   x   x   x | 69       |       1        1        1       64       40       40 |       1        1        1      128       40       40 |    204800 |

   70|TIDL_ConvolutionLayer         |onnx::Conv_232                                    |     0|     1|     1| 69   x   x   x   x   x   x   x | 70       |       1        1        1      128       40       40 |       1        1        1       32       40       40 |   6553600 |

   71|TIDL_ConvolutionLayer         |onnx::Concat_230                                  |     0|     1|     1| 69   x   x   x   x   x   x   x | 71       |       1        1        1      128       40       40 |       1        1        1       32       40       40 |   6553600 |

   72|TIDL_ConvolutionLayer         |onnx::Conv_234                                    |     0|     1|     1| 70   x   x   x   x   x   x   x | 72       |       1        1        1       32       40       40 |       1        1        1       32       40       40 |  14745600 |

   73|TIDL_ConvolutionLayer         |onnx::Concat_236                                  |     0|     1|     1| 72   x   x   x   x   x   x   x | 73       |       1        1        1       32       40       40 |       1        1        1       32       40       40 |  14745600 |

   74|TIDL_ConcatLayer              |input.236                                         |     0|     4|     1| 73  72  70  71   x   x   x   x | 74       |       1        1        1       32       40       40 |       1        1        1      128       40       40 |    204800 |

   75|TIDL_ConvolutionLayer         |onnx::Conv_239                                    |     0|     1|     1| 74   x   x   x   x   x   x   x | 75       |       1        1        1      128       40       40 |       1        1        1       64       40       40 |  13107200 |

   76|TIDL_ConvolutionLayer         |onnx::Concat_241                                  |     0|     1|     1| 75   x   x   x   x   x   x   x | 76       |       1        1        1       64       40       40 |       1        1        1      128       20       20 |  29491200 |

   77|TIDL_ConcatLayer              |input.248                                         |     0|     2|     1| 76  49   x   x   x   x   x   x | 77       |       1        1        1      128       20       20 |       1        1        1      256       20       20 |    102400 |

   78|TIDL_ConvolutionLayer         |onnx::Conv_246                                    |     0|     1|     1| 77   x   x   x   x   x   x   x | 78       |       1        1        1      256       20       20 |       1        1        1       64       20       20 |   6553600 |

   79|TIDL_ConvolutionLayer         |onnx::Concat_244                                  |     0|     1|     1| 77   x   x   x   x   x   x   x | 79       |       1        1        1      256       20       20 |       1        1        1       64       20       20 |   6553600 |

   80|TIDL_ConvolutionLayer         |onnx::Conv_248                                    |     0|     1|     1| 78   x   x   x   x   x   x   x | 80       |       1        1        1       64       20       20 |       1        1        1       64       20       20 |  14745600 |

   81|TIDL_ConvolutionLayer         |onnx::Concat_250                                  |     0|     1|     1| 80   x   x   x   x   x   x   x | 81       |       1        1        1       64       20       20 |       1        1        1       64       20       20 |  14745600 |

   82|TIDL_ConcatLayer              |input.268                                         |     0|     4|     1| 81  80  78  79   x   x   x   x | 82       |       1        1        1       64       20       20 |       1        1        1      256       20       20 |    102400 |

   83|TIDL_ConvolutionLayer         |onnx::Conv_253                                    |     0|     1|     1| 82   x   x   x   x   x   x   x | 83       |       1        1        1      256       20       20 |       1        1        1      128       20       20 |  13107200 |

   84|TIDL_ConvolutionLayer         |onnx::Conv_255                                    |     0|     1|     1| 83   x   x   x   x   x   x   x | 84       |       1        1        1      128       20       20 |       1        1        1      256       20       20 | 117964800 |

   85|TIDL_ConvolutionLayer         |onnx::Sigmoid_256                                 |     0|     1|     1| 84   x   x   x   x   x   x   x | 85       |       1        1        1      256       20       20 |       1        1        1       24       20       20 |   2457600 |

   86|TIDL_BatchNormLayer           |output1                                           |     0|     1|     1| 85   x   x   x   x   x   x   x | 86       |       1        1        1       24       20       20 |       1        1        1       24       20       20 |      9600 |

   87|TIDL_DataLayer                |output1                                           |     0|     1|    -1| 86   x   x   x   x   x   x   x |  0       |       1        1        1       24       20       20 |       0        0        0        0        0        0 |         0 |

--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

Total Giga Macs : 1.4233

--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------


-------- Running Calibration in Float Mode to Collect Tensor Statistics --------
cd /home/ht/edgeai/edgeai-tidl-tools/tools/AM68A/tidl_tools && ./PC_dsp_test_dl_algo.out s:/home/ht/customers/longhorn/yolov7/output/import.txt.qunat_stats_config.txt
Input : dataId=0, name=images, elementType 6, scale=1.000000, zero point=0, layout=0
Ouput : dataId=86, name=output1, elementType 6, scale=1.000000, zero point=0, layout=0 
     42227128,     40.271 0x7dfe142bd010
worstCaseDelay for Pre-emption is 0.0000000 
Network File Read done
Calling algAlloc

--------------------------------------------
TIDL Memory size requiement (record wise):
MemRecNum   , Space               , Attribute   , Alignment   , Size(KBytes), BasePtr     
0           , DDR Cacheable       , Persistent  ,  128, 19.27   , 0x00000000
1           , DDR Cacheable       , Persistent  ,  128, 0.66    , 0x00000000
2           , DDR Cacheable       , Scratch     ,  128, 16.00   , 0x00000000
3           , DDR Cacheable       , Scratch     ,  128, 4.00    , 0x00000000
4           , DDR Cacheable       , Scratch     ,  128, 56.00   , 0x00000000
5           , DDR Cacheable       , Persistent  ,  128, 312.59  , 0x00000000
6           , DDR Cacheable       , Scratch     ,  128, 23969.06, 0x00000000
7           , DDR Cacheable       , Scratch     ,  128, 0.12    , 0x00000000
8           , DDR Cacheable       , Scratch     ,  128, 25600.12, 0x00000000
9           , DDR Cacheable       , Scratch     ,  128, 12963.38, 0x00000000
10          , DDR Cacheable       , Persistent  ,  128, 1060.44 , 0x00000000
11          , DDR Cacheable       , Scratch     ,  128, 4096.25 , 0x00000000
12          , DDR Cacheable       , Persistent  ,  128, 0.12    , 0x00000000
13          , DDR Cacheable       , Persistent  ,  128, 41237.55, 0x00000000
14          , DDR Cacheable       , Persistent  ,  128, 0.00    , 0x00000000
15          , DDR Cacheable       , Persistent  ,  128, 0.12    , 0x00000000
--------------------------------------------
Total memory size requirement (space wise):
Mem Space , Size(KBytes)
DDR Cacheable, 109335.70
--------------------------------------------
NOTE: Memory requirement in host emulation can be different from the same on EVM
      To get the actual TIDL memory requirement make sure to run on EVM with 
      debugTraceLevel = 2

--------------------------------------------
Num,    Space,     SizeinBytes,   SineInMB
   0,    17,        19736,      0.019 0x60f573c62d00
   1,    17,          672,      0.001 0x60f573c67a80
   2,    17,        16384,      0.016 0x60f573c67e00
   3,    17,         4096,      0.004 0x60f573c6be80
   4,    17,        57344,      0.055 0x60f573c6cf80
   5,    17,       320096,      0.305 0x7dfeaacc3080
   6,    17,     24544320,     23.407 0x7dfe12b54080
   7,    17,          128,      0.000 0x60f573c61b00
   8,    17,     26214528,     25.000 0x7dfe11253080
   9,    17,     13274496,     12.660 0x7dfe105aa080
  10,    17,      1085888,      1.036 0x7dfe104a0080
  11,    17,      4194560,      4.000 0x7dfe1009f080
  12,    17,          128,      0.000 0x60f573c61c00
  13,    17,     42227256,     40.271 0x7dfe0d859080
  14,    17,            1,      0.000 0x60f573c7b000
  15,    17,          128,      0.000 0x60f573c7b100
Total External Memory (DDR) Size =    111959761,    106.773 
TIDL init call from ivision API 

--------------------------------------------
TIDL Memory size requiement (record wise):
MemRecNum   , Space               , Attribute   , Alignment   , Size(KBytes), BasePtr     
0           , DDR Cacheable       , Persistent  ,  128, 19.27   , 0x73c62d00
1           , DDR Cacheable       , Persistent  ,  128, 0.66    , 0x73c67a80
2           , DDR Cacheable       , Scratch     ,  128, 16.00   , 0x73c67e00
3           , DDR Cacheable       , Scratch     ,  128, 4.00    , 0x73c6be80
4           , DDR Cacheable       , Scratch     ,  128, 56.00   , 0x73c6cf80
5           , DDR Cacheable       , Persistent  ,  128, 312.59  , 0xaacc3080
6           , DDR Cacheable       , Scratch     ,  128, 23969.06, 0x12b54080
7           , DDR Cacheable       , Scratch     ,  128, 0.12    , 0x73c61b00
8           , DDR Cacheable       , Scratch     ,  128, 25600.12, 0x11253080
9           , DDR Cacheable       , Scratch     ,  128, 12963.38, 0x105aa080
10          , DDR Cacheable       , Persistent  ,  128, 1060.44 , 0x104a0080
11          , DDR Cacheable       , Scratch     ,  128, 4096.25 , 0x1009f080
12          , DDR Cacheable       , Persistent  ,  128, 0.12    , 0x73c61c00
13          , DDR Cacheable       , Persistent  ,  128, 41237.55, 0x0d859080
14          , DDR Cacheable       , Persistent  ,  128, 0.00    , 0x73c7b000
15          , DDR Cacheable       , Persistent  ,  128, 0.12    , 0x73c7b100
--------------------------------------------
Total memory size requirement (space wise):
Mem Space , Size(KBytes)
DDR Cacheable, 109335.70
--------------------------------------------
NOTE: Memory requirement in host emulation can be different from the same on EVM
      To get the actual TIDL memory requirement make sure to run on EVM with 
      debugTraceLevel = 2

--------------------------------------------
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
Alg Init for Layer # -   69
Alg Init for Layer # -   70
Alg Init for Layer # -   71
Alg Init for Layer # -   72
Alg Init for Layer # -   73
Alg Init for Layer # -   74
Alg Init for Layer # -   75
Alg Init for Layer # -   76
Alg Init for Layer # -   77
Alg Init for Layer # -   78
Alg Init for Layer # -   79
Alg Init for Layer # -   80
Alg Init for Layer # -   81
Alg Init for Layer # -   82
Alg Init for Layer # -   83
Alg Init for Layer # -   84
Alg Init for Layer # -   85
Alg Init for Layer # -   86
 Freeing memory for user provided Net

 Instance created for  /home/ht/customers/longhorn/yolov7/output/import.txt.qunat_stats_config.txt

Processing Cnt :    0, InstCnt :    0 /home/ht/customers/longhorn/yolov7/output/yolov7_net.bin!
TIDL_RT: Set default TIDLRT tensor done
TIDL_RT: Set default TIDLRT tensor done
    13189216,     12.578 0x7dfe15823010
      160000,      0.153 0x60f573c9d230
TIDL_process is started with handle : 0x60f573c62d00 =========================] 100 %
TIDL_activate is called with handle : 0x60f573c62d00 - Copying handle of size 19736 from 0x60f573c62d00 to 0x60f573c6d000 
Core 0 Alg Process for Layer # -    0, layer type 0
Core 0 Alg Process for Layer # -    1, layer type 1
Processing Layer # -    1
Core 0 End of Layer # -    1 with outPtrs[0] = 0x7dfe12b54080
Core 0 Alg Process for Layer # -    2, layer type 1
Processing Layer # -    2
Core 0 End of Layer # -    2 with outPtrs[0] = 0x7dfe131a8200
Core 0 Alg Process for Layer # -    3, layer type 1
Processing Layer # -    3
Core 0 End of Layer # -    3 with outPtrs[0] = 0x7dfe12b54080
Core 0 Alg Process for Layer # -    4, layer type 1
Processing Layer # -    4
Core 0 End of Layer # -    4 with outPtrs[0] = 0x7dfe134c8300
Core 0 Alg Process for Layer # -    5, layer type 1
Processing Layer # -    5
Core 0 End of Layer # -    5 with outPtrs[0] = 0x7dfe13658380
Core 0 Alg Process for Layer # -    6, layer type 1
Processing Layer # -    6
Core 0 End of Layer # -    6 with outPtrs[0] = 0x7dfe137f2500
Core 0 Alg Process for Layer # -    7, layer type 12
Processing Layer # -    7
Core 0 End of Layer # -    7 with outPtrs[0] = 0x7dfe13982580
Core 0 Alg Process for Layer # -    8, layer type 1
Processing Layer # -    8
Core 0 End of Layer # -    8 with outPtrs[0] = 0x7dfe131a8200
Core 0 Alg Process for Layer # -    9, layer type 2
Processing Layer # -    9
Core 0 End of Layer # -    9 with outPtrs[0] = 0x7dfe134c8300
Core 0 Alg Process for Layer # -   10, layer type 1
Processing Layer # -   10
Core 0 End of Layer # -   10 with outPtrs[0] = 0x7dfe13658380
Core 0 Alg Process for Layer # -   11, layer type 1
Processing Layer # -   11
Core 0 End of Layer # -   11 with outPtrs[0] = 0x7dfe131a8200
Core 0 Alg Process for Layer # -   12, layer type 1
Processing Layer # -   12
Core 0 End of Layer # -   12 with outPtrs[0] = 0x7dfe12b54080
Core 0 Alg Process for Layer # -   13, layer type 1
Processing Layer # -   13
Core 0 End of Layer # -   13 with outPtrs[0] = 0x7dfe134c8300
Core 0 Alg Process for Layer # -   14, layer type 12
Processing Layer # -   14
Core 0 End of Layer # -   14 with outPtrs[0] = 0x7dfe13982580
Core 0 Alg Process for Layer # -   15, layer type 1
Processing Layer # -   15
Core 0 End of Layer # -   15 with outPtrs[0] = 0x7dfe137f2500
Core 0 Alg Process for Layer # -   16, layer type 2
Processing Layer # -   16
Core 0 End of Layer # -   16 with outPtrs[0] = 0x7dfe131a8200
Core 0 Alg Process for Layer # -   17, layer type 1
Processing Layer # -   17
Core 0 End of Layer # -   17 with outPtrs[0] = 0x7dfe134c8300
Core 0 Alg Process for Layer # -   18, layer type 1
Processing Layer # -   18
Core 0 End of Layer # -   18 with outPtrs[0] = 0x7dfe12b54080
Core 0 Alg Process for Layer # -   19, layer type 1
Processing Layer # -   19
Core 0 End of Layer # -   19 with outPtrs[0] = 0x7dfe13fc2b80
Core 0 Alg Process for Layer # -   20, layer type 1
Processing Layer # -   20
Core 0 End of Layer # -   20 with outPtrs[0] = 0x7dfe14026c00
Core 0 Alg Process for Layer # -   21, layer type 1
Processing Layer # -   21
Core 0 End of Layer # -   21 with outPtrs[0] = 0x7dfe131a8200
Core 0 Alg Process for Layer # -   22, layer type 12
Processing Layer # -   22
Core 0 End of Layer # -   22 with outPtrs[0] = 0x7dfe13982580
Core 0 Alg Process for Layer # -   23, layer type 1
Processing Layer # -   23
Core 0 End of Layer # -   23 with outPtrs[0] = 0x7dfe137f2500
Core 0 Alg Process for Layer # -   24, layer type 2
Processing Layer # -   24
Core 0 End of Layer # -   24 with outPtrs[0] = 0x7dfe14095100
Core 0 Alg Process for Layer # -   25, layer type 1
Processing Layer # -   25
Core 0 End of Layer # -   25 with outPtrs[0] = 0x7dfe13fc2b80
Core 0 Alg Process for Layer # -   26, layer type 1
Processing Layer # -   26
Core 0 End of Layer # -   26 with outPtrs[0] = 0x7dfe140c7200
Core 0 Alg Process for Layer # -   27, layer type 1
Processing Layer # -   27
Core 0 End of Layer # -   27 with outPtrs[0] = 0x7dfe14103880
Core 0 Alg Process for Layer # -   28, layer type 1
Processing Layer # -   28
Core 0 End of Layer # -   28 with outPtrs[0] = 0x7dfe14135900
Core 0 Alg Process for Layer # -   29, layer type 1
Processing Layer # -   29
Core 0 End of Layer # -   29 with outPtrs[0] = 0x7dfe14095100
Core 0 Alg Process for Layer # -   30, layer type 12
Processing Layer # -   30
Core 0 End of Layer # -   30 with outPtrs[0] = 0x7dfe137f2500
Core 0 Alg Process for Layer # -   31, layer type 1
Processing Layer # -   31
Core 0 End of Layer # -   31 with outPtrs[0] = 0x7dfe131a8200
Core 0 Alg Process for Layer # -   32, layer type 1
Processing Layer # -   32
Core 0 End of Layer # -   32 with outPtrs[0] = 0x7dfe14103880
Core 0 Alg Process for Layer # -   33, layer type 1
Processing Layer # -   33
Core 0 End of Layer # -   33 with outPtrs[0] = 0x7dfe14135900
Core 0 Alg Process for Layer # -   34, layer type 2
Processing Layer # -   34
Core 0 End of Layer # -   34 with outPtrs[0] = 0x7dfe140c7200
Core 0 Alg Process for Layer # -   35, layer type 2
Processing Layer # -   35
Core 0 End of Layer # -   35 with outPtrs[0] = 0x7dfe14172280
Core 0 Alg Process for Layer # -   36, layer type 2
Processing Layer # -   36
Core 0 End of Layer # -   36 with outPtrs[0] = 0x7dfe141ae900
Core 0 Alg Process for Layer # -   37, layer type 2
Processing Layer # -   37
Core 0 End of Layer # -   37 with outPtrs[0] = 0x7dfe14095100
Core 0 Alg Process for Layer # -   38, layer type 2
Processing Layer # -   38
Core 0 End of Layer # -   38 with outPtrs[0] = 0x7dfe140c7200
Core 0 Alg Process for Layer # -   39, layer type 2
Processing Layer # -   39
Core 0 End of Layer # -   39 with outPtrs[0] = 0x7dfe14172280
Core 0 Alg Process for Layer # -   40, layer type 2
Processing Layer # -   40
Core 0 End of Layer # -   40 with outPtrs[0] = 0x7dfe141ae900
Core 0 Alg Process for Layer # -   41, layer type 2
Processing Layer # -   41
Core 0 End of Layer # -   41 with outPtrs[0] = 0x7dfe140c7200
Core 0 Alg Process for Layer # -   42, layer type 2
Processing Layer # -   42
Core 0 End of Layer # -   42 with outPtrs[0] = 0x7dfe141eb200
Core 0 Alg Process for Layer # -   43, layer type 2
Processing Layer # -   43
Core 0 End of Layer # -   43 with outPtrs[0] = 0x7dfe141ae900
Core 0 Alg Process for Layer # -   44, layer type 2
Processing Layer # -   44
Core 0 End of Layer # -   44 with outPtrs[0] = 0x7dfe14172280
Core 0 Alg Process for Layer # -   45, layer type 2
Processing Layer # -   45
Core 0 End of Layer # -   45 with outPtrs[0] = 0x7dfe1421d380
Core 0 Alg Process for Layer # -   46, layer type 12
Processing Layer # -   46
Core 0 End of Layer # -   46 with outPtrs[0] = 0x7dfe137f2500
Core 0 Alg Process for Layer # -   47, layer type 1
Processing Layer # -   47
Core 0 End of Layer # -   47 with outPtrs[0] = 0x7dfe1421d380
Core 0 Alg Process for Layer # -   48, layer type 12
Processing Layer # -   48
Core 0 End of Layer # -   48 with outPtrs[0] = 0x7dfe131a8200
Core 0 Alg Process for Layer # -   49, layer type 1
Processing Layer # -   49
Core 0 End of Layer # -   49 with outPtrs[0] = 0x7dfe1421d380
Core 0 Alg Process for Layer # -   50, layer type 1
Processing Layer # -   50
Core 0 End of Layer # -   50 with outPtrs[0] = 0x7dfe14135900
Core 0 Alg Process for Layer # -   51, layer type 21
Processing Layer # -   51
Core 0 End of Layer # -   51 with outPtrs[0] = 0x7dfe131a8200
Core 0 Alg Process for Layer # -   52, layer type 12
Processing Layer # -   52
Core 0 End of Layer # -   52 with outPtrs[0] = 0x7dfe137f2500
Core 0 Alg Process for Layer # -   53, layer type 1
Processing Layer # -   53
Core 0 End of Layer # -   53 with outPtrs[0] = 0x7dfe141ae900
Core 0 Alg Process for Layer # -   54, layer type 1
Processing Layer # -   54
Core 0 End of Layer # -   54 with outPtrs[0] = 0x7dfe141eb200
Core 0 Alg Process for Layer # -   55, layer type 1
Processing Layer # -   55
Core 0 End of Layer # -   55 with outPtrs[0] = 0x7dfe14172280
Core 0 Alg Process for Layer # -   56, layer type 1
Processing Layer # -   56
Core 0 End of Layer # -   56 with outPtrs[0] = 0x7dfe14103880
Core 0 Alg Process for Layer # -   57, layer type 12
Processing Layer # -   57
Core 0 End of Layer # -   57 with outPtrs[0] = 0x7dfe137f2500
Core 0 Alg Process for Layer # -   58, layer type 1
Processing Layer # -   58
Core 0 End of Layer # -   58 with outPtrs[0] = 0x7dfe13fc2b80
Core 0 Alg Process for Layer # -   59, layer type 1
Processing Layer # -   59
Core 0 End of Layer # -   59 with outPtrs[0] = 0x7dfe141ae900
Core 0 Alg Process for Layer # -   60, layer type 21
Processing Layer # -   60
Core 0 End of Layer # -   60 with outPtrs[0] = 0x7dfe137f2500
Core 0 Alg Process for Layer # -   61, layer type 12
Processing Layer # -   61
Core 0 End of Layer # -   61 with outPtrs[0] = 0x7dfe13982580
Core 0 Alg Process for Layer # -   62, layer type 1
Processing Layer # -   62
Core 0 End of Layer # -   62 with outPtrs[0] = 0x7dfe12b54080
Core 0 Alg Process for Layer # -   63, layer type 1
Processing Layer # -   63
Core 0 End of Layer # -   63 with outPtrs[0] = 0x7dfe137f2500
Core 0 Alg Process for Layer # -   64, layer type 1
Processing Layer # -   64
Core 0 End of Layer # -   64 with outPtrs[0] = 0x7dfe1424fd00
Core 0 Alg Process for Layer # -   65, layer type 1
Processing Layer # -   65
Core 0 End of Layer # -   65 with outPtrs[0] = 0x7dfe134c8300
Core 0 Alg Process for Layer # -   66, layer type 12
Processing Layer # -   66
Core 0 End of Layer # -   66 with outPtrs[0] = 0x7dfe13982580
Core 0 Alg Process for Layer # -   67, layer type 1
Processing Layer # -   67
Core 0 End of Layer # -   67 with outPtrs[0] = 0x7dfe13658380
Core 0 Alg Process for Layer # -   68, layer type 1
Processing Layer # -   68
Core 0 End of Layer # -   68 with outPtrs[0] = 0x7dfe137f2500
Core 0 Alg Process for Layer # -   69, layer type 12
Processing Layer # -   69
Core 0 End of Layer # -   69 with outPtrs[0] = 0x7dfe13982580
Core 0 Alg Process for Layer # -   70, layer type 1
Processing Layer # -   70
Core 0 End of Layer # -   70 with outPtrs[0] = 0x7dfe141ae900
Core 0 Alg Process for Layer # -   71, layer type 1
Processing Layer # -   71
Core 0 End of Layer # -   71 with outPtrs[0] = 0x7dfe141eb200
Core 0 Alg Process for Layer # -   72, layer type 1
Processing Layer # -   72
Core 0 End of Layer # -   72 with outPtrs[0] = 0x7dfe14172280
Core 0 Alg Process for Layer # -   73, layer type 1
Processing Layer # -   73
Core 0 End of Layer # -   73 with outPtrs[0] = 0x7dfe14103880
Core 0 Alg Process for Layer # -   74, layer type 12
Processing Layer # -   74
Core 0 End of Layer # -   74 with outPtrs[0] = 0x7dfe13982580
Core 0 Alg Process for Layer # -   75, layer type 1
Processing Layer # -   75
Core 0 End of Layer # -   75 with outPtrs[0] = 0x7dfe14026c00
Core 0 Alg Process for Layer # -   76, layer type 1
Processing Layer # -   76
Core 0 End of Layer # -   76 with outPtrs[0] = 0x7dfe141eb200
Core 0 Alg Process for Layer # -   77, layer type 12
Processing Layer # -   77
Core 0 End of Layer # -   77 with outPtrs[0] = 0x7dfe13fc2b80
Core 0 Alg Process for Layer # -   78, layer type 1
Processing Layer # -   78
Core 0 End of Layer # -   78 with outPtrs[0] = 0x7dfe141ae900
Core 0 Alg Process for Layer # -   79, layer type 1
Processing Layer # -   79
Core 0 End of Layer # -   79 with outPtrs[0] = 0x7dfe1421d380
Core 0 Alg Process for Layer # -   80, layer type 1
Processing Layer # -   80
Core 0 End of Layer # -   80 with outPtrs[0] = 0x7dfe14172280
Core 0 Alg Process for Layer # -   81, layer type 1
Processing Layer # -   81
Core 0 End of Layer # -   81 with outPtrs[0] = 0x7dfe141eb200
Core 0 Alg Process for Layer # -   82, layer type 12
Processing Layer # -   82
Core 0 End of Layer # -   82 with outPtrs[0] = 0x7dfe13fc2b80
Core 0 Alg Process for Layer # -   83, layer type 1
Processing Layer # -   83
Core 0 End of Layer # -   83 with outPtrs[0] = 0x7dfe1424fd00
Core 0 Alg Process for Layer # -   84, layer type 1
Processing Layer # -   84
Core 0 End of Layer # -   84 with outPtrs[0] = 0x7dfe13fc2b80
Core 0 Alg Process for Layer # -   85, layer type 1
Processing Layer # -   85
Core 0 End of Layer # -   85 with outPtrs[0] = 0x7dfe1421d380
Core 0 Alg Process for Layer # -   86, layer type 8
Processing Layer # -   86
Core 0 End of Layer # -   86 with outPtrs[0] = 0x60f573c9d230
Core 0 Alg Process for Layer # -   87, layer type 0
TIDL_process is completed with handle : 0x60f573c62d00 
Skipping static gen-set function
TIDL_deactivate is called with handle : 0x60f573c62d00 - Copying handle of size 19736 from 0x60f573c6d000 to 0x60f573c62d00 


------------------ Fixed-point Calibration Iteration [1 / 1]: ------------------
Empty prototxt path, running calibration
Num of Layer Detected :  88 

--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

  Num|TIDL Layer Name               |Out Data Name                                     |Group |#Ins  |#Outs |Inbuf Ids                       |Outbuf Id |In NCHW                             |Out NCHW                            |MACS       |

--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

    0|TIDL_DataLayer                |images                                            |     0|    -1|     1|  x   x   x   x   x   x   x   x |  0       |       0        0        0        0        0        0 |       1        1        1        3      640      640 |         0 |

    1|TIDL_ConvolutionLayer         |onnx::Conv_112                                    |     0|     1|     1|  0   x   x   x   x   x   x   x |  1       |       1        1        1        3      640      640 |       1        1        1       16      320      320 |  44236800 |

    2|TIDL_ConvolutionLayer         |onnx::Conv_114                                    |     0|     1|     1|  1   x   x   x   x   x   x   x |  2       |       1        1        1       16      320      320 |       1        1        1       32      160      160 | 117964800 |

    3|TIDL_ConvolutionLayer         |onnx::Conv_118                                    |     0|     1|     1|  2   x   x   x   x   x   x   x |  3       |       1        1        1       32      160      160 |       1        1        1       16      160      160 |  13107200 |

    4|TIDL_ConvolutionLayer         |onnx::Concat_116                                  |     0|     1|     1|  2   x   x   x   x   x   x   x |  4       |       1        1        1       32      160      160 |       1        1        1       16      160      160 |  13107200 |

    5|TIDL_ConvolutionLayer         |onnx::Conv_120                                    |     0|     1|     1|  3   x   x   x   x   x   x   x |  5       |       1        1        1       16      160      160 |       1        1        1       16      160      160 |  58982400 |

    6|TIDL_ConvolutionLayer         |onnx::Concat_122                                  |     0|     1|     1|  5   x   x   x   x   x   x   x |  6       |       1        1        1       16      160      160 |       1        1        1       16      160      160 |  58982400 |

    7|TIDL_ConcatLayer              |input.24                                          |     0|     4|     1|  6   5   3   4   x   x   x   x |  7       |       1        1        1       16      160      160 |       1        1        1       64      160      160 |   1638400 |

    8|TIDL_ConvolutionLayer         |onnx::MaxPool_125                                 |     0|     1|     1|  7   x   x   x   x   x   x   x |  8       |       1        1        1       64      160      160 |       1        1        1       32      160      160 |  52428800 |

    9|TIDL_PoolingLayer             |input.32                                          |     0|     1|     1|  8   x   x   x   x   x   x   x |  9       |       1        1        1       32      160      160 |       1        1        1       32       80       80 |    819200 |

   10|TIDL_ConvolutionLayer         |onnx::Conv_130                                    |     0|     1|     1|  9   x   x   x   x   x   x   x | 10       |       1        1        1       32       80       80 |       1        1        1       32       80       80 |   6553600 |

   11|TIDL_ConvolutionLayer         |onnx::Concat_128                                  |     0|     1|     1|  9   x   x   x   x   x   x   x | 11       |       1        1        1       32       80       80 |       1        1        1       32       80       80 |   6553600 |

   12|TIDL_ConvolutionLayer         |onnx::Conv_132                                    |     0|     1|     1| 10   x   x   x   x   x   x   x | 12       |       1        1        1       32       80       80 |       1        1        1       32       80       80 |  58982400 |

   13|TIDL_ConvolutionLayer         |onnx::Concat_134                                  |     0|     1|     1| 12   x   x   x   x   x   x   x | 13       |       1        1        1       32       80       80 |       1        1        1       32       80       80 |  58982400 |

   14|TIDL_ConcatLayer              |input.52                                          |     0|     4|     1| 13  12  10  11   x   x   x   x | 14       |       1        1        1       32       80       80 |       1        1        1      128       80       80 |    819200 |

   15|TIDL_ConvolutionLayer         |onnx::MaxPool_137                                 |     0|     1|     1| 14   x   x   x   x   x   x   x | 15       |       1        1        1      128       80       80 |       1        1        1       64       80       80 |  52428800 |

   16|TIDL_PoolingLayer             |input.60                                          |     0|     1|     1| 15   x   x   x   x   x   x   x | 16       |       1        1        1       64       80       80 |       1        1        1       64       40       40 |    409600 |

   17|TIDL_ConvolutionLayer         |onnx::Concat_213                                  |     0|     1|     1| 15   x   x   x   x   x   x   x | 17       |       1        1        1       64       80       80 |       1        1        1       32       80       80 |  13107200 |

   18|TIDL_ConvolutionLayer         |onnx::Conv_142                                    |     0|     1|     1| 16   x   x   x   x   x   x   x | 18       |       1        1        1       64       40       40 |       1        1        1       64       40       40 |   6553600 |

   19|TIDL_ConvolutionLayer         |onnx::Concat_140                                  |     0|     1|     1| 16   x   x   x   x   x   x   x | 19       |       1        1        1       64       40       40 |       1        1        1       64       40       40 |   6553600 |

   20|TIDL_ConvolutionLayer         |onnx::Conv_144                                    |     0|     1|     1| 18   x   x   x   x   x   x   x | 20       |       1        1        1       64       40       40 |       1        1        1       64       40       40 |  58982400 |

   21|TIDL_ConvolutionLayer         |onnx::Concat_146                                  |     0|     1|     1| 20   x   x   x   x   x   x   x | 21       |       1        1        1       64       40       40 |       1        1        1       64       40       40 |  58982400 |

   22|TIDL_ConcatLayer              |input.80                                          |     0|     4|     1| 21  20  18  19   x   x   x   x | 22       |       1        1        1       64       40       40 |       1        1        1      256       40       40 |    409600 |

   23|TIDL_ConvolutionLayer         |onnx::MaxPool_149                                 |     0|     1|     1| 22   x   x   x   x   x   x   x | 23       |       1        1        1      256       40       40 |       1        1        1      128       40       40 |  52428800 |

   24|TIDL_PoolingLayer             |input.88                                          |     0|     1|     1| 23   x   x   x   x   x   x   x | 24       |       1        1        1      128       40       40 |       1        1        1      128       20       20 |    204800 |

   25|TIDL_ConvolutionLayer         |onnx::Concat_192                                  |     0|     1|     1| 23   x   x   x   x   x   x   x | 25       |       1        1        1      128       40       40 |       1        1        1       64       40       40 |  13107200 |

   26|TIDL_ConvolutionLayer         |onnx::Conv_154                                    |     0|     1|     1| 24   x   x   x   x   x   x   x | 26       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |   6553600 |

   27|TIDL_ConvolutionLayer         |onnx::Concat_152                                  |     0|     1|     1| 24   x   x   x   x   x   x   x | 27       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |   6553600 |

   28|TIDL_ConvolutionLayer         |onnx::Conv_156                                    |     0|     1|     1| 26   x   x   x   x   x   x   x | 28       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |  58982400 |

   29|TIDL_ConvolutionLayer         |onnx::Concat_158                                  |     0|     1|     1| 28   x   x   x   x   x   x   x | 29       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |  58982400 |

   30|TIDL_ConcatLayer              |input.108                                         |     0|     4|     1| 29  28  26  27   x   x   x   x | 30       |       1        1        1      128       20       20 |       1        1        1      512       20       20 |    204800 |

   31|TIDL_ConvolutionLayer         |onnx::Conv_161                                    |     0|     1|     1| 30   x   x   x   x   x   x   x | 31       |       1        1        1      512       20       20 |       1        1        1      256       20       20 |  52428800 |

   32|TIDL_ConvolutionLayer         |onnx::Concat_163                                  |     0|     1|     1| 31   x   x   x   x   x   x   x | 32       |       1        1        1      256       20       20 |       1        1        1      128       20       20 |  13107200 |

   33|TIDL_ConvolutionLayer         |onnx::MaxPool_165                                 |     0|     1|     1| 31   x   x   x   x   x   x   x | 33       |       1        1        1      256       20       20 |       1        1        1      128       20       20 |  13107200 |

   34|TIDL_PoolingLayer             |onnx::MaxPool_166                                 |     0|     1|     1| 33   x   x   x   x   x   x   x | 34       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |    460800 |

   35|TIDL_PoolingLayer             |onnx::MaxPool_168                                 |     0|     1|     1| 33   x   x   x   x   x   x   x | 35       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |    460800 |

   36|TIDL_PoolingLayer             |onnx::MaxPool_172                                 |     0|     1|     1| 33   x   x   x   x   x   x   x | 36       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |    460800 |

   37|TIDL_PoolingLayer             |onnx::Concat_167                                  |     0|     1|     1| 34   x   x   x   x   x   x   x | 37       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |    460800 |

   38|TIDL_PoolingLayer             |onnx::MaxPool_169                                 |     0|     1|     1| 35   x   x   x   x   x   x   x | 38       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |    460800 |

   39|TIDL_PoolingLayer             |onnx::MaxPool_173                                 |     0|     1|     1| 36   x   x   x   x   x   x   x | 39       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |    460800 |

   40|TIDL_PoolingLayer             |onnx::MaxPool_170                                 |     0|     1|     1| 38   x   x   x   x   x   x   x | 40       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |    460800 |

   41|TIDL_PoolingLayer             |onnx::MaxPool_174                                 |     0|     1|     1| 39   x   x   x   x   x   x   x | 41       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |    460800 |

   42|TIDL_PoolingLayer             |onnx::Concat_171                                  |     0|     1|     1| 40   x   x   x   x   x   x   x | 42       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |    460800 |

   43|TIDL_PoolingLayer             |onnx::MaxPool_175                                 |     0|     1|     1| 41   x   x   x   x   x   x   x | 43       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |    460800 |

   44|TIDL_PoolingLayer             |onnx::MaxPool_176                                 |     0|     1|     1| 43   x   x   x   x   x   x   x | 44       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |    460800 |

   45|TIDL_PoolingLayer             |onnx::Concat_177                                  |     0|     1|     1| 44   x   x   x   x   x   x   x | 45       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |    460800 |

   46|TIDL_ConcatLayer              |input.124                                         |     0|     4|     1| 45  42  37  33   x   x   x   x | 46       |       1        1        1      128       20       20 |       1        1        1      512       20       20 |    204800 |

   47|TIDL_ConvolutionLayer         |onnx::Concat_180                                  |     0|     1|     1| 46   x   x   x   x   x   x   x | 47       |       1        1        1      512       20       20 |       1        1        1      128       20       20 |  26214400 |

   48|TIDL_ConcatLayer              |input.132                                         |     0|     2|     1| 47  32   x   x   x   x   x   x | 48       |       1        1        1      128       20       20 |       1        1        1      256       20       20 |    102400 |

   49|TIDL_ConvolutionLayer         |onnx::Conv_183                                    |     0|     1|     1| 48   x   x   x   x   x   x   x | 49       |       1        1        1      256       20       20 |       1        1        1      128       20       20 |  13107200 |

   50|TIDL_ConvolutionLayer         |onnx::Resize_185                                  |     0|     1|     1| 49   x   x   x   x   x   x   x | 50       |       1        1        1      128       20       20 |       1        1        1       64       20       20 |   3276800 |

   51|TIDL_ResizeLayer              |onnx::Concat_190                                  |     0|     1|     1| 50   x   x   x   x   x   x   x | 51       |       1        1        1       64       20       20 |       1        1        1       64       40       40 |    409600 |

   52|TIDL_ConcatLayer              |input.148                                         |     0|     2|     1| 25  51   x   x   x   x   x   x | 52       |       1        1        1       64       40       40 |       1        1        1      128       40       40 |    204800 |

   53|TIDL_ConvolutionLayer         |onnx::Conv_197                                    |     0|     1|     1| 52   x   x   x   x   x   x   x | 53       |       1        1        1      128       40       40 |       1        1        1       32       40       40 |   6553600 |

   54|TIDL_ConvolutionLayer         |onnx::Concat_195                                  |     0|     1|     1| 52   x   x   x   x   x   x   x | 54       |       1        1        1      128       40       40 |       1        1        1       32       40       40 |   6553600 |

   55|TIDL_ConvolutionLayer         |onnx::Conv_199                                    |     0|     1|     1| 53   x   x   x   x   x   x   x | 55       |       1        1        1       32       40       40 |       1        1        1       32       40       40 |  14745600 |

   56|TIDL_ConvolutionLayer         |onnx::Concat_201                                  |     0|     1|     1| 55   x   x   x   x   x   x   x | 56       |       1        1        1       32       40       40 |       1        1        1       32       40       40 |  14745600 |

   57|TIDL_ConcatLayer              |input.168                                         |     0|     4|     1| 56  55  53  54   x   x   x   x | 57       |       1        1        1       32       40       40 |       1        1        1      128       40       40 |    204800 |

   58|TIDL_ConvolutionLayer         |onnx::Conv_204                                    |     0|     1|     1| 57   x   x   x   x   x   x   x | 58       |       1        1        1      128       40       40 |       1        1        1       64       40       40 |  13107200 |

   59|TIDL_ConvolutionLayer         |onnx::Resize_206                                  |     0|     1|     1| 58   x   x   x   x   x   x   x | 59       |       1        1        1       64       40       40 |       1        1        1       32       40       40 |   3276800 |

   60|TIDL_ResizeLayer              |onnx::Concat_211                                  |     0|     1|     1| 59   x   x   x   x   x   x   x | 60       |       1        1        1       32       40       40 |       1        1        1       32       80       80 |    819200 |

   61|TIDL_ConcatLayer              |input.184                                         |     0|     2|     1| 17  60   x   x   x   x   x   x | 61       |       1        1        1       32       80       80 |       1        1        1       64       80       80 |    409600 |

   62|TIDL_ConvolutionLayer         |onnx::Conv_218                                    |     0|     1|     1| 61   x   x   x   x   x   x   x | 62       |       1        1        1       64       80       80 |       1        1        1       16       80       80 |   6553600 |

   63|TIDL_ConvolutionLayer         |onnx::Concat_216                                  |     0|     1|     1| 61   x   x   x   x   x   x   x | 63       |       1        1        1       64       80       80 |       1        1        1       16       80       80 |   6553600 |

   64|TIDL_ConvolutionLayer         |onnx::Conv_220                                    |     0|     1|     1| 62   x   x   x   x   x   x   x | 64       |       1        1        1       16       80       80 |       1        1        1       16       80       80 |  14745600 |

   65|TIDL_ConvolutionLayer         |onnx::Concat_222                                  |     0|     1|     1| 64   x   x   x   x   x   x   x | 65       |       1        1        1       16       80       80 |       1        1        1       16       80       80 |  14745600 |

   66|TIDL_ConcatLayer              |input.204                                         |     0|     4|     1| 65  64  62  63   x   x   x   x | 66       |       1        1        1       16       80       80 |       1        1        1       64       80       80 |    409600 |

   67|TIDL_ConvolutionLayer         |onnx::Conv_225                                    |     0|     1|     1| 66   x   x   x   x   x   x   x | 67       |       1        1        1       64       80       80 |       1        1        1       32       80       80 |  13107200 |

   68|TIDL_ConvolutionLayer         |onnx::Concat_227                                  |     0|     1|     1| 67   x   x   x   x   x   x   x | 68       |       1        1        1       32       80       80 |       1        1        1       64       40       40 |  29491200 |

   69|TIDL_ConcatLayer              |input.216                                         |     0|     2|     1| 68  58   x   x   x   x   x   x | 69       |       1        1        1       64       40       40 |       1        1        1      128       40       40 |    204800 |

   70|TIDL_ConvolutionLayer         |onnx::Conv_232                                    |     0|     1|     1| 69   x   x   x   x   x   x   x | 70       |       1        1        1      128       40       40 |       1        1        1       32       40       40 |   6553600 |

   71|TIDL_ConvolutionLayer         |onnx::Concat_230                                  |     0|     1|     1| 69   x   x   x   x   x   x   x | 71       |       1        1        1      128       40       40 |       1        1        1       32       40       40 |   6553600 |

   72|TIDL_ConvolutionLayer         |onnx::Conv_234                                    |     0|     1|     1| 70   x   x   x   x   x   x   x | 72       |       1        1        1       32       40       40 |       1        1        1       32       40       40 |  14745600 |

   73|TIDL_ConvolutionLayer         |onnx::Concat_236                                  |     0|     1|     1| 72   x   x   x   x   x   x   x | 73       |       1        1        1       32       40       40 |       1        1        1       32       40       40 |  14745600 |

   74|TIDL_ConcatLayer              |input.236                                         |     0|     4|     1| 73  72  70  71   x   x   x   x | 74       |       1        1        1       32       40       40 |       1        1        1      128       40       40 |    204800 |

   75|TIDL_ConvolutionLayer         |onnx::Conv_239                                    |     0|     1|     1| 74   x   x   x   x   x   x   x | 75       |       1        1        1      128       40       40 |       1        1        1       64       40       40 |  13107200 |

   76|TIDL_ConvolutionLayer         |onnx::Concat_241                                  |     0|     1|     1| 75   x   x   x   x   x   x   x | 76       |       1        1        1       64       40       40 |       1        1        1      128       20       20 |  29491200 |

   77|TIDL_ConcatLayer              |input.248                                         |     0|     2|     1| 76  49   x   x   x   x   x   x | 77       |       1        1        1      128       20       20 |       1        1        1      256       20       20 |    102400 |

   78|TIDL_ConvolutionLayer         |onnx::Conv_246                                    |     0|     1|     1| 77   x   x   x   x   x   x   x | 78       |       1        1        1      256       20       20 |       1        1        1       64       20       20 |   6553600 |

   79|TIDL_ConvolutionLayer         |onnx::Concat_244                                  |     0|     1|     1| 77   x   x   x   x   x   x   x | 79       |       1        1        1      256       20       20 |       1        1        1       64       20       20 |   6553600 |

   80|TIDL_ConvolutionLayer         |onnx::Conv_248                                    |     0|     1|     1| 78   x   x   x   x   x   x   x | 80       |       1        1        1       64       20       20 |       1        1        1       64       20       20 |  14745600 |

   81|TIDL_ConvolutionLayer         |onnx::Concat_250                                  |     0|     1|     1| 80   x   x   x   x   x   x   x | 81       |       1        1        1       64       20       20 |       1        1        1       64       20       20 |  14745600 |

   82|TIDL_ConcatLayer              |input.268                                         |     0|     4|     1| 81  80  78  79   x   x   x   x | 82       |       1        1        1       64       20       20 |       1        1        1      256       20       20 |    102400 |

   83|TIDL_ConvolutionLayer         |onnx::Conv_253                                    |     0|     1|     1| 82   x   x   x   x   x   x   x | 83       |       1        1        1      256       20       20 |       1        1        1      128       20       20 |  13107200 |

   84|TIDL_ConvolutionLayer         |onnx::Conv_255                                    |     0|     1|     1| 83   x   x   x   x   x   x   x | 84       |       1        1        1      128       20       20 |       1        1        1      256       20       20 | 117964800 |

   85|TIDL_ConvolutionLayer         |onnx::Sigmoid_256                                 |     0|     1|     1| 84   x   x   x   x   x   x   x | 85       |       1        1        1      256       20       20 |       1        1        1       24       20       20 |   2457600 |

   86|TIDL_BatchNormLayer           |output1                                           |     0|     1|     1| 85   x   x   x   x   x   x   x | 86       |       1        1        1       24       20       20 |       1        1        1       24       20       20 |      9600 |

   87|TIDL_DataLayer                |output1                                           |     0|     1|    -1| 86   x   x   x   x   x   x   x |  0       |       1        1        1       24       20       20 |       0        0        0        0        0        0 |         0 |

--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

Total Giga Macs : 1.4233

--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

cd /home/ht/edgeai/edgeai-tidl-tools/tools/AM68A/tidl_tools && ./PC_dsp_test_dl_algo.out s:/home/ht/customers/longhorn/yolov7/output/import.txt.qunat_stats_config.txt
Input : dataId=0, name=images, elementType 0, scale=1.000000, zero point=0, layout=0
Ouput : dataId=86, name=output1, elementType 2, scale=56258.375000, zero point=0, layout=0 
     38324152,     36.549 0x7fa493e76010
worstCaseDelay for Pre-emption is 0.0000000 
Network File Read done
Calling algAlloc

--------------------------------------------
TIDL Memory size requiement (record wise):
MemRecNum   , Space               , Attribute   , Alignment   , Size(KBytes), BasePtr     
0           , DDR Cacheable       , Persistent  ,  128, 19.27   , 0x00000000
1           , DDR Cacheable       , Persistent  ,  128, 0.66    , 0x00000000
2           , DDR Cacheable       , Scratch     ,  128, 16.00   , 0x00000000
3           , DDR Cacheable       , Scratch     ,  128, 4.00    , 0x00000000
4           , DDR Cacheable       , Scratch     ,  128, 56.00   , 0x00000000
5           , DDR Cacheable       , Persistent  ,  128, 317.64  , 0x00000000
6           , DDR Cacheable       , Scratch     ,  128, 7358.58 , 0x00000000
7           , DDR Cacheable       , Scratch     ,  128, 0.12    , 0x00000000
8           , DDR Cacheable       , Scratch     ,  128, 9720.50 , 0x00000000
9           , DDR Cacheable       , Scratch     ,  128, 3243.09 , 0x00000000
10          , DDR Cacheable       , Persistent  ,  128, 1060.44 , 0x00000000
11          , DDR Cacheable       , Scratch     ,  128, 4096.25 , 0x00000000
12          , DDR Cacheable       , Persistent  ,  128, 0.12    , 0x00000000
13          , DDR Cacheable       , Persistent  ,  128, 37426.05, 0x00000000
14          , DDR Cacheable       , Persistent  ,  128, 0.00    , 0x00000000
15          , DDR Cacheable       , Persistent  ,  128, 0.12    , 0x00000000
--------------------------------------------
Total memory size requirement (space wise):
Mem Space , Size(KBytes)
DDR Cacheable, 63318.86
--------------------------------------------
NOTE: Memory requirement in host emulation can be different from the same on EVM
      To get the actual TIDL memory requirement make sure to run on EVM with 
      debugTraceLevel = 2

--------------------------------------------
Num,    Space,     SizeinBytes,   SineInMB
   0,    17,        19736,      0.019 0x639e69529880
   1,    17,          672,      0.001 0x639e6952e680
   2,    17,        16384,      0.016 0x639e6952ea00
   3,    17,         4096,      0.004 0x639e69532a80
   4,    17,        57344,      0.055 0x639e69533b80
   5,    17,       325264,      0.310 0x7fa52a435080
   6,    17,      7535184,      7.186 0x7fa493746080
   7,    17,          128,      0.000 0x639e69528700
   8,    17,      9953792,      9.493 0x7fa492dc7080
   9,    17,      3320928,      3.167 0x7fa492a9c080
  10,    17,      1085888,      1.036 0x7fa492992080
  11,    17,      4194560,      4.000 0x7fa492591080
  12,    17,          128,      0.000 0x639e69528880
  13,    17,     38324280,     36.549 0x7fa490104080
  14,    17,            1,      0.000 0x639e69541c00
  15,    17,          128,      0.000 0x639e69541d00
Total External Memory (DDR) Size =     64838513,     61.835 
TIDL init call from ivision API 

--------------------------------------------
TIDL Memory size requiement (record wise):
MemRecNum   , Space               , Attribute   , Alignment   , Size(KBytes), BasePtr     
0           , DDR Cacheable       , Persistent  ,  128, 19.27   , 0x69529880
1           , DDR Cacheable       , Persistent  ,  128, 0.66    , 0x6952e680
2           , DDR Cacheable       , Scratch     ,  128, 16.00   , 0x6952ea00
3           , DDR Cacheable       , Scratch     ,  128, 4.00    , 0x69532a80
4           , DDR Cacheable       , Scratch     ,  128, 56.00   , 0x69533b80
5           , DDR Cacheable       , Persistent  ,  128, 317.64  , 0x2a435080
6           , DDR Cacheable       , Scratch     ,  128, 7358.58 , 0x93746080
7           , DDR Cacheable       , Scratch     ,  128, 0.12    , 0x69528700
8           , DDR Cacheable       , Scratch     ,  128, 9720.50 , 0x92dc7080
9           , DDR Cacheable       , Scratch     ,  128, 3243.09 , 0x92a9c080
10          , DDR Cacheable       , Persistent  ,  128, 1060.44 , 0x92992080
11          , DDR Cacheable       , Scratch     ,  128, 4096.25 , 0x92591080
12          , DDR Cacheable       , Persistent  ,  128, 0.12    , 0x69528880
13          , DDR Cacheable       , Persistent  ,  128, 37426.05, 0x90104080
14          , DDR Cacheable       , Persistent  ,  128, 0.00    , 0x69541c00
15          , DDR Cacheable       , Persistent  ,  128, 0.12    , 0x69541d00
--------------------------------------------
Total memory size requirement (space wise):
Mem Space , Size(KBytes)
DDR Cacheable, 63318.86
--------------------------------------------
NOTE: Memory requirement in host emulation can be different from the same on EVM
      To get the actual TIDL memory requirement make sure to run on EVM with 
      debugTraceLevel = 2

--------------------------------------------
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
Alg Init for Layer # -   69
Alg Init for Layer # -   70
Alg Init for Layer # -   71
Alg Init for Layer # -   72
Alg Init for Layer # -   73
Alg Init for Layer # -   74
Alg Init for Layer # -   75
Alg Init for Layer # -   76
Alg Init for Layer # -   77
Alg Init for Layer # -   78
Alg Init for Layer # -   79
Alg Init for Layer # -   80
Alg Init for Layer # -   81
Alg Init for Layer # -   82
Alg Init for Layer # -   83
Alg Init for Layer # -   84
Alg Init for Layer # -   85
Alg Init for Layer # -   86
 Freeing memory for user provided Net

 Instance created for  /home/ht/customers/longhorn/yolov7/output/import.txt.qunat_stats_config.txt

Processing Cnt :    0, InstCnt :    0 /home/ht/customers/longhorn/yolov7/output/yolov7_net.bin!
TIDL_RT: Set default TIDLRT tensor done
TIDL_RT: Set default TIDLRT tensor done
     3297304,      3.145 0x7fa495e4a010
       40000,      0.038 0x639e6955f320
TIDL_process is started with handle : 0x639e69529880 =========================] 100 %
TIDL_activate is called with handle : 0x639e69529880 - Copying handle of size 19736 from 0x639e69529880 to 0x639e69533c00 
Core 0 Alg Process for Layer # -    0, layer type 0
Core 0 Alg Process for Layer # -    1, layer type 1
Processing Layer # -    1
Core 0 End of Layer # -    1 with outPtrs[0] = 0x7fa493746080
Core 0 Alg Process for Layer # -    2, layer type 1
Processing Layer # -    2
Core 0 End of Layer # -    2 with outPtrs[0] = 0x7fa4938db180
Core 0 Alg Process for Layer # -    3, layer type 1
Processing Layer # -    3
Core 0 End of Layer # -    3 with outPtrs[0] = 0x7fa493746080
Core 0 Alg Process for Layer # -    4, layer type 1
Processing Layer # -    4
Core 0 End of Layer # -    4 with outPtrs[0] = 0x7fa4939a3280
Core 0 Alg Process for Layer # -    5, layer type 1
Processing Layer # -    5
Core 0 End of Layer # -    5 with outPtrs[0] = 0x7fa493a07300
Core 0 Alg Process for Layer # -    6, layer type 1
Processing Layer # -    6
Core 0 End of Layer # -    6 with outPtrs[0] = 0x7fa4938db180
Core 0 Alg Process for Layer # -    7, layer type 12
Processing Layer # -    7
Core 0 End of Layer # -    7 with outPtrs[0] = 0x7fa493a6dc80
Core 0 Alg Process for Layer # -    8, layer type 1
Processing Layer # -    8
Core 0 End of Layer # -    8 with outPtrs[0] = 0x7fa493bfdd00
Core 0 Alg Process for Layer # -    9, layer type 2
Processing Layer # -    9
Core 0 End of Layer # -    9 with outPtrs[0] = 0x7fa4939a3280
Core 0 Alg Process for Layer # -   10, layer type 1
Processing Layer # -   10
Core 0 End of Layer # -   10 with outPtrs[0] = 0x7fa493a07300
Core 0 Alg Process for Layer # -   11, layer type 1
Processing Layer # -   11
Core 0 End of Layer # -   11 with outPtrs[0] = 0x7fa4938db180
Core 0 Alg Process for Layer # -   12, layer type 1
Processing Layer # -   12
Core 0 End of Layer # -   12 with outPtrs[0] = 0x7fa493746080
Core 0 Alg Process for Layer # -   13, layer type 1
Processing Layer # -   13
Core 0 End of Layer # -   13 with outPtrs[0] = 0x7fa4939a3280
Core 0 Alg Process for Layer # -   14, layer type 12
Processing Layer # -   14
Core 0 End of Layer # -   14 with outPtrs[0] = 0x7fa493bfdd00
Core 0 Alg Process for Layer # -   15, layer type 1
Processing Layer # -   15
Core 0 End of Layer # -   15 with outPtrs[0] = 0x7fa493a6dc80
Core 0 Alg Process for Layer # -   16, layer type 2
Processing Layer # -   16
Core 0 End of Layer # -   16 with outPtrs[0] = 0x7fa4938db180
Core 0 Alg Process for Layer # -   17, layer type 1
Processing Layer # -   17
Core 0 End of Layer # -   17 with outPtrs[0] = 0x7fa4939a3280
Core 0 Alg Process for Layer # -   18, layer type 1
Processing Layer # -   18
Core 0 End of Layer # -   18 with outPtrs[0] = 0x7fa493746080
Core 0 Alg Process for Layer # -   19, layer type 1
Processing Layer # -   19
Core 0 End of Layer # -   19 with outPtrs[0] = 0x7fa493d8e280
Core 0 Alg Process for Layer # -   20, layer type 1
Processing Layer # -   20
Core 0 End of Layer # -   20 with outPtrs[0] = 0x7fa493da7300
Core 0 Alg Process for Layer # -   21, layer type 1
Processing Layer # -   21
Core 0 End of Layer # -   21 with outPtrs[0] = 0x7fa4938db180
Core 0 Alg Process for Layer # -   22, layer type 12
Processing Layer # -   22
Core 0 End of Layer # -   22 with outPtrs[0] = 0x7fa493bfdd00
Core 0 Alg Process for Layer # -   23, layer type 1
Processing Layer # -   23
Core 0 End of Layer # -   23 with outPtrs[0] = 0x7fa493a6dc80
Core 0 Alg Process for Layer # -   24, layer type 2
Processing Layer # -   24
Core 0 End of Layer # -   24 with outPtrs[0] = 0x7fa493dc2e00
Core 0 Alg Process for Layer # -   25, layer type 1
Processing Layer # -   25
Core 0 End of Layer # -   25 with outPtrs[0] = 0x7fa493d8e280
Core 0 Alg Process for Layer # -   26, layer type 1
Processing Layer # -   26
Core 0 End of Layer # -   26 with outPtrs[0] = 0x7fa493dcf700
Core 0 Alg Process for Layer # -   27, layer type 1
Processing Layer # -   27
Core 0 End of Layer # -   27 with outPtrs[0] = 0x7fa493dde900
Core 0 Alg Process for Layer # -   28, layer type 1
Processing Layer # -   28
Core 0 End of Layer # -   28 with outPtrs[0] = 0x7fa493deb180
Core 0 Alg Process for Layer # -   29, layer type 1
Processing Layer # -   29
Core 0 End of Layer # -   29 with outPtrs[0] = 0x7fa493dc2e00
Core 0 Alg Process for Layer # -   30, layer type 12
Processing Layer # -   30
Core 0 End of Layer # -   30 with outPtrs[0] = 0x7fa493a6dc80
Core 0 Alg Process for Layer # -   31, layer type 1
Processing Layer # -   31
Core 0 End of Layer # -   31 with outPtrs[0] = 0x7fa4938db180
Core 0 Alg Process for Layer # -   32, layer type 1
Processing Layer # -   32
Core 0 End of Layer # -   32 with outPtrs[0] = 0x7fa493dfa500
Core 0 Alg Process for Layer # -   33, layer type 1
Processing Layer # -   33
Core 0 End of Layer # -   33 with outPtrs[0] = 0x7fa493deb180
Core 0 Alg Process for Layer # -   34, layer type 2
Processing Layer # -   34
Core 0 End of Layer # -   34 with outPtrs[0] = 0x7fa493dcf700
Core 0 Alg Process for Layer # -   35, layer type 2
Processing Layer # -   35
Core 0 End of Layer # -   35 with outPtrs[0] = 0x7fa493e13680
Core 0 Alg Process for Layer # -   36, layer type 2
Processing Layer # -   36
Core 0 End of Layer # -   36 with outPtrs[0] = 0x7fa493e22880
Core 0 Alg Process for Layer # -   37, layer type 2
Processing Layer # -   37
Core 0 End of Layer # -   37 with outPtrs[0] = 0x7fa493dde900
Core 0 Alg Process for Layer # -   38, layer type 2
Processing Layer # -   38
Core 0 End of Layer # -   38 with outPtrs[0] = 0x7fa493dcf700
Core 0 Alg Process for Layer # -   39, layer type 2
Processing Layer # -   39
Core 0 End of Layer # -   39 with outPtrs[0] = 0x7fa493e13680
Core 0 Alg Process for Layer # -   40, layer type 2
Processing Layer # -   40
Core 0 End of Layer # -   40 with outPtrs[0] = 0x7fa493e22880
Core 0 Alg Process for Layer # -   41, layer type 2
Processing Layer # -   41
Core 0 End of Layer # -   41 with outPtrs[0] = 0x7fa493dcf700
Core 0 Alg Process for Layer # -   42, layer type 2
Processing Layer # -   42
Core 0 End of Layer # -   42 with outPtrs[0] = 0x7fa493dc2e00
Core 0 Alg Process for Layer # -   43, layer type 2
Processing Layer # -   43
Core 0 End of Layer # -   43 with outPtrs[0] = 0x7fa493e22880
Core 0 Alg Process for Layer # -   44, layer type 2
Processing Layer # -   44
Core 0 End of Layer # -   44 with outPtrs[0] = 0x7fa493e13680
Core 0 Alg Process for Layer # -   45, layer type 2
Processing Layer # -   45
Core 0 End of Layer # -   45 with outPtrs[0] = 0x7fa493e31e80
Core 0 Alg Process for Layer # -   46, layer type 12
Processing Layer # -   46
Core 0 End of Layer # -   46 with outPtrs[0] = 0x7fa493a6dc80
Core 0 Alg Process for Layer # -   47, layer type 1
Processing Layer # -   47
Core 0 End of Layer # -   47 with outPtrs[0] = 0x7fa493e3e780
Core 0 Alg Process for Layer # -   48, layer type 12
Processing Layer # -   48
Core 0 End of Layer # -   48 with outPtrs[0] = 0x7fa4938db180
Core 0 Alg Process for Layer # -   49, layer type 1
Processing Layer # -   49
Core 0 End of Layer # -   49 with outPtrs[0] = 0x7fa493e3e780
Core 0 Alg Process for Layer # -   50, layer type 1
Processing Layer # -   50
Core 0 End of Layer # -   50 with outPtrs[0] = 0x7fa493deb180
Core 0 Alg Process for Layer # -   51, layer type 21
Processing Layer # -   51
Core 0 End of Layer # -   51 with outPtrs[0] = 0x7fa4938db180
Core 0 Alg Process for Layer # -   52, layer type 12
Processing Layer # -   52
Core 0 End of Layer # -   52 with outPtrs[0] = 0x7fa493a6dc80
Core 0 Alg Process for Layer # -   53, layer type 1
Processing Layer # -   53
Core 0 End of Layer # -   53 with outPtrs[0] = 0x7fa493e22880
Core 0 Alg Process for Layer # -   54, layer type 1
Processing Layer # -   54
Core 0 End of Layer # -   54 with outPtrs[0] = 0x7fa493e31e80
Core 0 Alg Process for Layer # -   55, layer type 1
Processing Layer # -   55
Core 0 End of Layer # -   55 with outPtrs[0] = 0x7fa493e13680
Core 0 Alg Process for Layer # -   56, layer type 1
Processing Layer # -   56
Core 0 End of Layer # -   56 with outPtrs[0] = 0x7fa493dfa500
Core 0 Alg Process for Layer # -   57, layer type 12
Processing Layer # -   57
Core 0 End of Layer # -   57 with outPtrs[0] = 0x7fa493a6dc80
Core 0 Alg Process for Layer # -   58, layer type 1
Processing Layer # -   58
Core 0 End of Layer # -   58 with outPtrs[0] = 0x7fa493d8e280
Core 0 Alg Process for Layer # -   59, layer type 1
Processing Layer # -   59
Core 0 End of Layer # -   59 with outPtrs[0] = 0x7fa493e22880
Core 0 Alg Process for Layer # -   60, layer type 21
Processing Layer # -   60
Core 0 End of Layer # -   60 with outPtrs[0] = 0x7fa493a6dc80
Core 0 Alg Process for Layer # -   61, layer type 12
Processing Layer # -   61
Core 0 End of Layer # -   61 with outPtrs[0] = 0x7fa493bfdd00
Core 0 Alg Process for Layer # -   62, layer type 1
Processing Layer # -   62
Core 0 End of Layer # -   62 with outPtrs[0] = 0x7fa493746080
Core 0 Alg Process for Layer # -   63, layer type 1
Processing Layer # -   63
Core 0 End of Layer # -   63 with outPtrs[0] = 0x7fa493a6dc80
Core 0 Alg Process for Layer # -   64, layer type 1
Processing Layer # -   64
Core 0 End of Layer # -   64 with outPtrs[0] = 0x7fa493e58000
Core 0 Alg Process for Layer # -   65, layer type 1
Processing Layer # -   65
Core 0 End of Layer # -   65 with outPtrs[0] = 0x7fa4939a3280
Core 0 Alg Process for Layer # -   66, layer type 12
Processing Layer # -   66
Core 0 End of Layer # -   66 with outPtrs[0] = 0x7fa493bfdd00
Core 0 Alg Process for Layer # -   67, layer type 1
Processing Layer # -   67
Core 0 End of Layer # -   67 with outPtrs[0] = 0x7fa493a07300
Core 0 Alg Process for Layer # -   68, layer type 1
Processing Layer # -   68
Core 0 End of Layer # -   68 with outPtrs[0] = 0x7fa493a6dc80
Core 0 Alg Process for Layer # -   69, layer type 12
Processing Layer # -   69
Core 0 End of Layer # -   69 with outPtrs[0] = 0x7fa493bfdd00
Core 0 Alg Process for Layer # -   70, layer type 1
Processing Layer # -   70
Core 0 End of Layer # -   70 with outPtrs[0] = 0x7fa493a07300
Core 0 Alg Process for Layer # -   71, layer type 1
Processing Layer # -   71
Core 0 End of Layer # -   71 with outPtrs[0] = 0x7fa493dfa500
Core 0 Alg Process for Layer # -   72, layer type 1
Processing Layer # -   72
Core 0 End of Layer # -   72 with outPtrs[0] = 0x7fa493746080
Core 0 Alg Process for Layer # -   73, layer type 1
Processing Layer # -   73
Core 0 End of Layer # -   73 with outPtrs[0] = 0x7fa493a6dc80
Core 0 Alg Process for Layer # -   74, layer type 12
Processing Layer # -   74
Core 0 End of Layer # -   74 with outPtrs[0] = 0x7fa493bfdd00
Core 0 Alg Process for Layer # -   75, layer type 1
Processing Layer # -   75
Core 0 End of Layer # -   75 with outPtrs[0] = 0x7fa493da7300
Core 0 Alg Process for Layer # -   76, layer type 1
Processing Layer # -   76
Core 0 End of Layer # -   76 with outPtrs[0] = 0x7fa493e31e80
Core 0 Alg Process for Layer # -   77, layer type 12
Processing Layer # -   77
Core 0 End of Layer # -   77 with outPtrs[0] = 0x7fa493d8e280
Core 0 Alg Process for Layer # -   78, layer type 1
Processing Layer # -   78
Core 0 End of Layer # -   78 with outPtrs[0] = 0x7fa493e22880
Core 0 Alg Process for Layer # -   79, layer type 1
Processing Layer # -   79
Core 0 End of Layer # -   79 with outPtrs[0] = 0x7fa493e3e780
Core 0 Alg Process for Layer # -   80, layer type 1
Processing Layer # -   80
Core 0 End of Layer # -   80 with outPtrs[0] = 0x7fa493e13680
Core 0 Alg Process for Layer # -   81, layer type 1
Processing Layer # -   81
Core 0 End of Layer # -   81 with outPtrs[0] = 0x7fa493e31e80
Core 0 Alg Process for Layer # -   82, layer type 12
Processing Layer # -   82
Core 0 End of Layer # -   82 with outPtrs[0] = 0x7fa493bfdd00
Core 0 Alg Process for Layer # -   83, layer type 1
Processing Layer # -   83
Core 0 End of Layer # -   83 with outPtrs[0] = 0x7fa493e58000
Core 0 Alg Process for Layer # -   84, layer type 1
Processing Layer # -   84
Core 0 End of Layer # -   84 with outPtrs[0] = 0x7fa493d8e280
Core 0 Alg Process for Layer # -   85, layer type 1
Processing Layer # -   85
Core 0 End of Layer # -   85 with outPtrs[0] = 0x7fa493e3e780
Core 0 Alg Process for Layer # -   86, layer type 8
Processing Layer # -   86
Core 0 End of Layer # -   86 with outPtrs[0] = 0x639e6955f320
Core 0 Alg Process for Layer # -   87, layer type 0
TIDL_process is completed with handle : 0x639e69529880 
Skipping static gen-set function
TIDL_deactivate is called with handle : 0x639e69529880 - Copying handle of size 19736 from 0x639e69533c00 to 0x639e69529880 


Empty prototxt path, running calibration
Num of Layer Detected :  88 

--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

  Num|TIDL Layer Name               |Out Data Name                                     |Group |#Ins  |#Outs |Inbuf Ids                       |Outbuf Id |In NCHW                             |Out NCHW                            |MACS       |

--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

    0|TIDL_DataLayer                |images                                            |     0|    -1|     1|  x   x   x   x   x   x   x   x |  0       |       0        0        0        0        0        0 |       1        1        1        3      640      640 |         0 |

    1|TIDL_ConvolutionLayer         |onnx::Conv_112                                    |     0|     1|     1|  0   x   x   x   x   x   x   x |  1       |       1        1        1        3      640      640 |       1        1        1       16      320      320 |  44236800 |

    2|TIDL_ConvolutionLayer         |onnx::Conv_114                                    |     0|     1|     1|  1   x   x   x   x   x   x   x |  2       |       1        1        1       16      320      320 |       1        1        1       32      160      160 | 117964800 |

    3|TIDL_ConvolutionLayer         |onnx::Conv_118                                    |     0|     1|     1|  2   x   x   x   x   x   x   x |  3       |       1        1        1       32      160      160 |       1        1        1       16      160      160 |  13107200 |

    4|TIDL_ConvolutionLayer         |onnx::Concat_116                                  |     0|     1|     1|  2   x   x   x   x   x   x   x |  4       |       1        1        1       32      160      160 |       1        1        1       16      160      160 |  13107200 |

    5|TIDL_ConvolutionLayer         |onnx::Conv_120                                    |     0|     1|     1|  3   x   x   x   x   x   x   x |  5       |       1        1        1       16      160      160 |       1        1        1       16      160      160 |  58982400 |

    6|TIDL_ConvolutionLayer         |onnx::Concat_122                                  |     0|     1|     1|  5   x   x   x   x   x   x   x |  6       |       1        1        1       16      160      160 |       1        1        1       16      160      160 |  58982400 |

    7|TIDL_ConcatLayer              |input.24                                          |     0|     4|     1|  6   5   3   4   x   x   x   x |  7       |       1        1        1       16      160      160 |       1        1        1       64      160      160 |   1638400 |

    8|TIDL_ConvolutionLayer         |onnx::MaxPool_125                                 |     0|     1|     1|  7   x   x   x   x   x   x   x |  8       |       1        1        1       64      160      160 |       1        1        1       32      160      160 |  52428800 |

    9|TIDL_PoolingLayer             |input.32                                          |     0|     1|     1|  8   x   x   x   x   x   x   x |  9       |       1        1        1       32      160      160 |       1        1        1       32       80       80 |    819200 |

   10|TIDL_ConvolutionLayer         |onnx::Conv_130                                    |     0|     1|     1|  9   x   x   x   x   x   x   x | 10       |       1        1        1       32       80       80 |       1        1        1       32       80       80 |   6553600 |

   11|TIDL_ConvolutionLayer         |onnx::Concat_128                                  |     0|     1|     1|  9   x   x   x   x   x   x   x | 11       |       1        1        1       32       80       80 |       1        1        1       32       80       80 |   6553600 |

   12|TIDL_ConvolutionLayer         |onnx::Conv_132                                    |     0|     1|     1| 10   x   x   x   x   x   x   x | 12       |       1        1        1       32       80       80 |       1        1        1       32       80       80 |  58982400 |

   13|TIDL_ConvolutionLayer         |onnx::Concat_134                                  |     0|     1|     1| 12   x   x   x   x   x   x   x | 13       |       1        1        1       32       80       80 |       1        1        1       32       80       80 |  58982400 |

   14|TIDL_ConcatLayer              |input.52                                          |     0|     4|     1| 13  12  10  11   x   x   x   x | 14       |       1        1        1       32       80       80 |       1        1        1      128       80       80 |    819200 |

   15|TIDL_ConvolutionLayer         |onnx::MaxPool_137                                 |     0|     1|     1| 14   x   x   x   x   x   x   x | 15       |       1        1        1      128       80       80 |       1        1        1       64       80       80 |  52428800 |

   16|TIDL_PoolingLayer             |input.60                                          |     0|     1|     1| 15   x   x   x   x   x   x   x | 16       |       1        1        1       64       80       80 |       1        1        1       64       40       40 |    409600 |

   17|TIDL_ConvolutionLayer         |onnx::Concat_213                                  |     0|     1|     1| 15   x   x   x   x   x   x   x | 17       |       1        1        1       64       80       80 |       1        1        1       32       80       80 |  13107200 |

   18|TIDL_ConvolutionLayer         |onnx::Conv_142                                    |     0|     1|     1| 16   x   x   x   x   x   x   x | 18       |       1        1        1       64       40       40 |       1        1        1       64       40       40 |   6553600 |

   19|TIDL_ConvolutionLayer         |onnx::Concat_140                                  |     0|     1|     1| 16   x   x   x   x   x   x   x | 19       |       1        1        1       64       40       40 |       1        1        1       64       40       40 |   6553600 |

   20|TIDL_ConvolutionLayer         |onnx::Conv_144                                    |     0|     1|     1| 18   x   x   x   x   x   x   x | 20       |       1        1        1       64       40       40 |       1        1        1       64       40       40 |  58982400 |

   21|TIDL_ConvolutionLayer         |onnx::Concat_146                                  |     0|     1|     1| 20   x   x   x   x   x   x   x | 21       |       1        1        1       64       40       40 |       1        1        1       64       40       40 |  58982400 |

   22|TIDL_ConcatLayer              |input.80                                          |     0|     4|     1| 21  20  18  19   x   x   x   x | 22       |       1        1        1       64       40       40 |       1        1        1      256       40       40 |    409600 |

   23|TIDL_ConvolutionLayer         |onnx::MaxPool_149                                 |     0|     1|     1| 22   x   x   x   x   x   x   x | 23       |       1        1        1      256       40       40 |       1        1        1      128       40       40 |  52428800 |

   24|TIDL_PoolingLayer             |input.88                                          |     0|     1|     1| 23   x   x   x   x   x   x   x | 24       |       1        1        1      128       40       40 |       1        1        1      128       20       20 |    204800 |

   25|TIDL_ConvolutionLayer         |onnx::Concat_192                                  |     0|     1|     1| 23   x   x   x   x   x   x   x | 25       |       1        1        1      128       40       40 |       1        1        1       64       40       40 |  13107200 |

   26|TIDL_ConvolutionLayer         |onnx::Conv_154                                    |     0|     1|     1| 24   x   x   x   x   x   x   x | 26       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |   6553600 |

   27|TIDL_ConvolutionLayer         |onnx::Concat_152                                  |     0|     1|     1| 24   x   x   x   x   x   x   x | 27       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |   6553600 |

   28|TIDL_ConvolutionLayer         |onnx::Conv_156                                    |     0|     1|     1| 26   x   x   x   x   x   x   x | 28       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |  58982400 |

   29|TIDL_ConvolutionLayer         |onnx::Concat_158                                  |     0|     1|     1| 28   x   x   x   x   x   x   x | 29       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |  58982400 |

   30|TIDL_ConcatLayer              |input.108                                         |     0|     4|     1| 29  28  26  27   x   x   x   x | 30       |       1        1        1      128       20       20 |       1        1        1      512       20       20 |    204800 |

   31|TIDL_ConvolutionLayer         |onnx::Conv_161                                    |     0|     1|     1| 30   x   x   x   x   x   x   x | 31       |       1        1        1      512       20       20 |       1        1        1      256       20       20 |  52428800 |

   32|TIDL_ConvolutionLayer         |onnx::Concat_163                                  |     0|     1|     1| 31   x   x   x   x   x   x   x | 32       |       1        1        1      256       20       20 |       1        1        1      128       20       20 |  13107200 |

   33|TIDL_ConvolutionLayer         |onnx::MaxPool_165                                 |     0|     1|     1| 31   x   x   x   x   x   x   x | 33       |       1        1        1      256       20       20 |       1        1        1      128       20       20 |  13107200 |

   34|TIDL_PoolingLayer             |onnx::MaxPool_166                                 |     0|     1|     1| 33   x   x   x   x   x   x   x | 34       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |    460800 |

   35|TIDL_PoolingLayer             |onnx::MaxPool_168                                 |     0|     1|     1| 33   x   x   x   x   x   x   x | 35       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |    460800 |

   36|TIDL_PoolingLayer             |onnx::MaxPool_172                                 |     0|     1|     1| 33   x   x   x   x   x   x   x | 36       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |    460800 |

   37|TIDL_PoolingLayer             |onnx::Concat_167                                  |     0|     1|     1| 34   x   x   x   x   x   x   x | 37       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |    460800 |

   38|TIDL_PoolingLayer             |onnx::MaxPool_169                                 |     0|     1|     1| 35   x   x   x   x   x   x   x | 38       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |    460800 |

   39|TIDL_PoolingLayer             |onnx::MaxPool_173                                 |     0|     1|     1| 36   x   x   x   x   x   x   x | 39       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |    460800 |

   40|TIDL_PoolingLayer             |onnx::MaxPool_170                                 |     0|     1|     1| 38   x   x   x   x   x   x   x | 40       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |    460800 |

   41|TIDL_PoolingLayer             |onnx::MaxPool_174                                 |     0|     1|     1| 39   x   x   x   x   x   x   x | 41       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |    460800 |

   42|TIDL_PoolingLayer             |onnx::Concat_171                                  |     0|     1|     1| 40   x   x   x   x   x   x   x | 42       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |    460800 |

   43|TIDL_PoolingLayer             |onnx::MaxPool_175                                 |     0|     1|     1| 41   x   x   x   x   x   x   x | 43       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |    460800 |

   44|TIDL_PoolingLayer             |onnx::MaxPool_176                                 |     0|     1|     1| 43   x   x   x   x   x   x   x | 44       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |    460800 |

   45|TIDL_PoolingLayer             |onnx::Concat_177                                  |     0|     1|     1| 44   x   x   x   x   x   x   x | 45       |       1        1        1      128       20       20 |       1        1        1      128       20       20 |    460800 |

   46|TIDL_ConcatLayer              |input.124                                         |     0|     4|     1| 45  42  37  33   x   x   x   x | 46       |       1        1        1      128       20       20 |       1        1        1      512       20       20 |    204800 |

   47|TIDL_ConvolutionLayer         |onnx::Concat_180                                  |     0|     1|     1| 46   x   x   x   x   x   x   x | 47       |       1        1        1      512       20       20 |       1        1        1      128       20       20 |  26214400 |

   48|TIDL_ConcatLayer              |input.132                                         |     0|     2|     1| 47  32   x   x   x   x   x   x | 48       |       1        1        1      128       20       20 |       1        1        1      256       20       20 |    102400 |

   49|TIDL_ConvolutionLayer         |onnx::Conv_183                                    |     0|     1|     1| 48   x   x   x   x   x   x   x | 49       |       1        1        1      256       20       20 |       1        1        1      128       20       20 |  13107200 |

   50|TIDL_ConvolutionLayer         |onnx::Resize_185                                  |     0|     1|     1| 49   x   x   x   x   x   x   x | 50       |       1        1        1      128       20       20 |       1        1        1       64       20       20 |   3276800 |

   51|TIDL_ResizeLayer              |onnx::Concat_190                                  |     0|     1|     1| 50   x   x   x   x   x   x   x | 51       |       1        1        1       64       20       20 |       1        1        1       64       40       40 |    409600 |

   52|TIDL_ConcatLayer              |input.148                                         |     0|     2|     1| 25  51   x   x   x   x   x   x | 52       |       1        1        1       64       40       40 |       1        1        1      128       40       40 |    204800 |

   53|TIDL_ConvolutionLayer         |onnx::Conv_197                                    |     0|     1|     1| 52   x   x   x   x   x   x   x | 53       |       1        1        1      128       40       40 |       1        1        1       32       40       40 |   6553600 |

   54|TIDL_ConvolutionLayer         |onnx::Concat_195                                  |     0|     1|     1| 52   x   x   x   x   x   x   x | 54       |       1        1        1      128       40       40 |       1        1        1       32       40       40 |   6553600 |

   55|TIDL_ConvolutionLayer         |onnx::Conv_199                                    |     0|     1|     1| 53   x   x   x   x   x   x   x | 55       |       1        1        1       32       40       40 |       1        1        1       32       40       40 |  14745600 |

   56|TIDL_ConvolutionLayer         |onnx::Concat_201                                  |     0|     1|     1| 55   x   x   x   x   x   x   x | 56       |       1        1        1       32       40       40 |       1        1        1       32       40       40 |  14745600 |

   57|TIDL_ConcatLayer              |input.168                                         |     0|     4|     1| 56  55  53  54   x   x   x   x | 57       |       1        1        1       32       40       40 |       1        1        1      128       40       40 |    204800 |

   58|TIDL_ConvolutionLayer         |onnx::Conv_204                                    |     0|     1|     1| 57   x   x   x   x   x   x   x | 58       |       1        1        1      128       40       40 |       1        1        1       64       40       40 |  13107200 |

   59|TIDL_ConvolutionLayer         |onnx::Resize_206                                  |     0|     1|     1| 58   x   x   x   x   x   x   x | 59       |       1        1        1       64       40       40 |       1        1        1       32       40       40 |   3276800 |

   60|TIDL_ResizeLayer              |onnx::Concat_211                                  |     0|     1|     1| 59   x   x   x   x   x   x   x | 60       |       1        1        1       32       40       40 |       1        1        1       32       80       80 |    819200 |

   61|TIDL_ConcatLayer              |input.184                                         |     0|     2|     1| 17  60   x   x   x   x   x   x | 61       |       1        1        1       32       80       80 |       1        1        1       64       80       80 |    409600 |

   62|TIDL_ConvolutionLayer         |onnx::Conv_218                                    |     0|     1|     1| 61   x   x   x   x   x   x   x | 62       |       1        1        1       64       80       80 |       1        1        1       16       80       80 |   6553600 |

   63|TIDL_ConvolutionLayer         |onnx::Concat_216                                  |     0|     1|     1| 61   x   x   x   x   x   x   x | 63       |       1        1        1       64       80       80 |       1        1        1       16       80       80 |   6553600 |

   64|TIDL_ConvolutionLayer         |onnx::Conv_220                                    |     0|     1|     1| 62   x   x   x   x   x   x   x | 64       |       1        1        1       16       80       80 |       1        1        1       16       80       80 |  14745600 |

   65|TIDL_ConvolutionLayer         |onnx::Concat_222                                  |     0|     1|     1| 64   x   x   x   x   x   x   x | 65       |       1        1        1       16       80       80 |       1        1        1       16       80       80 |  14745600 |

   66|TIDL_ConcatLayer              |input.204                                         |     0|     4|     1| 65  64  62  63   x   x   x   x | 66       |       1        1        1       16       80       80 |       1        1        1       64       80       80 |    409600 |

   67|TIDL_ConvolutionLayer         |onnx::Conv_225                                    |     0|     1|     1| 66   x   x   x   x   x   x   x | 67       |       1        1        1       64       80       80 |       1        1        1       32       80       80 |  13107200 |

   68|TIDL_ConvolutionLayer         |onnx::Concat_227                                  |     0|     1|     1| 67   x   x   x   x   x   x   x | 68       |       1        1        1       32       80       80 |       1        1        1       64       40       40 |  29491200 |

   69|TIDL_ConcatLayer              |input.216                                         |     0|     2|     1| 68  58   x   x   x   x   x   x | 69       |       1        1        1       64       40       40 |       1        1        1      128       40       40 |    204800 |

   70|TIDL_ConvolutionLayer         |onnx::Conv_232                                    |     0|     1|     1| 69   x   x   x   x   x   x   x | 70       |       1        1        1      128       40       40 |       1        1        1       32       40       40 |   6553600 |

   71|TIDL_ConvolutionLayer         |onnx::Concat_230                                  |     0|     1|     1| 69   x   x   x   x   x   x   x | 71       |       1        1        1      128       40       40 |       1        1        1       32       40       40 |   6553600 |

   72|TIDL_ConvolutionLayer         |onnx::Conv_234                                    |     0|     1|     1| 70   x   x   x   x   x   x   x | 72       |       1        1        1       32       40       40 |       1        1        1       32       40       40 |  14745600 |

   73|TIDL_ConvolutionLayer         |onnx::Concat_236                                  |     0|     1|     1| 72   x   x   x   x   x   x   x | 73       |       1        1        1       32       40       40 |       1        1        1       32       40       40 |  14745600 |

   74|TIDL_ConcatLayer              |input.236                                         |     0|     4|     1| 73  72  70  71   x   x   x   x | 74       |       1        1        1       32       40       40 |       1        1        1      128       40       40 |    204800 |

   75|TIDL_ConvolutionLayer         |onnx::Conv_239                                    |     0|     1|     1| 74   x   x   x   x   x   x   x | 75       |       1        1        1      128       40       40 |       1        1        1       64       40       40 |  13107200 |

   76|TIDL_ConvolutionLayer         |onnx::Concat_241                                  |     0|     1|     1| 75   x   x   x   x   x   x   x | 76       |       1        1        1       64       40       40 |       1        1        1      128       20       20 |  29491200 |

   77|TIDL_ConcatLayer              |input.248                                         |     0|     2|     1| 76  49   x   x   x   x   x   x | 77       |       1        1        1      128       20       20 |       1        1        1      256       20       20 |    102400 |

   78|TIDL_ConvolutionLayer         |onnx::Conv_246                                    |     0|     1|     1| 77   x   x   x   x   x   x   x | 78       |       1        1        1      256       20       20 |       1        1        1       64       20       20 |   6553600 |

   79|TIDL_ConvolutionLayer         |onnx::Concat_244                                  |     0|     1|     1| 77   x   x   x   x   x   x   x | 79       |       1        1        1      256       20       20 |       1        1        1       64       20       20 |   6553600 |

   80|TIDL_ConvolutionLayer         |onnx::Conv_248                                    |     0|     1|     1| 78   x   x   x   x   x   x   x | 80       |       1        1        1       64       20       20 |       1        1        1       64       20       20 |  14745600 |

   81|TIDL_ConvolutionLayer         |onnx::Concat_250                                  |     0|     1|     1| 80   x   x   x   x   x   x   x | 81       |       1        1        1       64       20       20 |       1        1        1       64       20       20 |  14745600 |

   82|TIDL_ConcatLayer              |input.268                                         |     0|     4|     1| 81  80  78  79   x   x   x   x | 82       |       1        1        1       64       20       20 |       1        1        1      256       20       20 |    102400 |

   83|TIDL_ConvolutionLayer         |onnx::Conv_253                                    |     0|     1|     1| 82   x   x   x   x   x   x   x | 83       |       1        1        1      256       20       20 |       1        1        1      128       20       20 |  13107200 |

   84|TIDL_ConvolutionLayer         |onnx::Conv_255                                    |     0|     1|     1| 83   x   x   x   x   x   x   x | 84       |       1        1        1      128       20       20 |       1        1        1      256       20       20 | 117964800 |

   85|TIDL_ConvolutionLayer         |onnx::Sigmoid_256                                 |     0|     1|     1| 84   x   x   x   x   x   x   x | 85       |       1        1        1      256       20       20 |       1        1        1       24       20       20 |   2457600 |

   86|TIDL_BatchNormLayer           |output1                                           |     0|     1|     1| 85   x   x   x   x   x   x   x | 86       |       1        1        1       24       20       20 |       1        1        1       24       20       20 |      9600 |

   87|TIDL_DataLayer                |output1                                           |     0|     1|    -1| 86   x   x   x   x   x   x   x |  0       |       1        1        1       24       20       20 |       0        0        0        0        0        0 |         0 |

--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

Total Giga Macs : 1.4233

--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

==================== [Quantization & Calibration Completed] ====================

cd /home/ht/edgeai/edgeai-tidl-tools/tools/AM68A/tidl_tools && ./ti_cnnperfsim.out /home/ht/customers/longhorn/yolov7/output/import.txt.perf_sim_config.txt /tmp 83887681 0 2
========================== [Memory Planning Started] ==========================


------------------------- Network Compiler Traces ------------------------------
Successful Memory Allocation
Successful Workload Creation

========================= [Memory Planning Completed] =========================

Network buffer segments:
buf(0), offset(       0), size(  162816)
buf(1), offset(  980160), size( 1751280)
buf(2), offset(  162816), size(  817344)
buf(3), offset( 2731456), size(  677936)
Rerunning network compiler...
cd /home/ht/edgeai/edgeai-tidl-tools/tools/AM68A/tidl_tools && ./ti_cnnperfsim.out /home/ht/customers/longhorn/yolov7/output/import.txt.perf_sim_config.txt /tmp 83887681 0 2
========================== [Memory Planning Started] ==========================


------------------------- Network Compiler Traces ------------------------------
Successful Memory Allocation
Successful Workload Creation

========================= [Memory Planning Completed] =========================

Network buffer segments:
buf(0), offset(       0), size(  162816)
buf(1), offset(  980160), size( 1751280)
buf(2), offset(  162816), size(  817344)
buf(3), offset( 2731456), size(  677936)
/home/ht/edgeai/edgeai-tidl-tools/tools/AM68A/tidl_tools/tidl_graphVisualiser.out output/yolov7_net.bin
/home/ht/edgeai/edgeai-tidl-tools/tools/AM68A/tidl_tools/tidl_graphVisualiser.out output/yolov7_net.bin
****************************************************
**               TIDL Model Checker               **
****************************************************
======================== Subgraph Compiled Successfully ========================
I successfully convert the model without errors. Could you try the same on your side? You can download the latest tool from https://github.com/TexasInstruments/edgeai-tidl-tools/tree/11_00_08_00 by running the setup.sh in this repo.
Here is the generated artifacts:
4466.artifacts.tar.gz
Regards,
Adam
0 ?? ? 5 months ago in reply to Adam Hua
Prodigy 40 points
yes，i have already tried the version tidl_tools 11000800, and it indeed can convert the model and without erros.
so i tried to convert another model for segment task. but it gets a core dump with this version. I think it's because your tidl_tools.tar.gz did not contain the "tidl_dump.out "file so, my file is used version 10.00.02.00 and lead this problem
but i have convert 3 other models without this "tidl_dump.out" cmd
so i not sure why this segment model would triggle this part of cmd?
the io file and net file have been generate. can this two file be use or not?
0 Adam Hua 5 months ago in reply to ?? ?
TI__Expert 5095 points
tidl_dump.out is not necessary as it only decodes the generated bin files to a txt file for easy reading. Your issue comes from using different c7 firmware version and tidl tool version. For a quick test, I suggest you use tidl tools 11_00_06_00 and sdk version 11.0. If that works, we can help with tidl backporting.
?? ? said:
can this two file be use or not?
I think these two files can be used if your evm is with correct c7xmma firmware.
Regards,
Adam
0 ?? ? 5 months ago in reply to Adam Hua
Prodigy 40 points
ok, thank you for your suggestion and we will tried to update our tidl version to 11
Processors

Processors forum

TDA4VL-Q1: mixedPrecisionFactor got an error during convert our model to TI bin files
