TDA4VM: TDA4VM: Importing an ONNX model

Adam Wolff

Part Number: TDA4VM

Hello,

I'm trying to import with the tidlModelImport tool an object detection ONNX model, and receive this message:

ONNX Model (Proto) File : ../../test/testvecs/models/public/onnx/yolov3ours/model.onnx
TIDL Network File : ../../test/testvecs/config/tidl_models/onnx/tidl_net_yolo3ours.bin
TIDL IO Info File : ../../test/testvecs/config/tidl_models/onnx/tidl_io_yolo3ours_
Current ONNX OpSet Version : 9
Error : Input for Layer : Not found in the input network

------------------ Network Compiler Traces -----------------------------
successful Memory allocation

-------------------- Network Compiler : Analysis Results are available --------------------

****************************************************
** ALL MODEL CHECK PASSED **
****************************************************

What could bring this error?

Any support will be much appreciated.

Thanks,

Adam

over 5 years ago

0 kumar.desappan over 5 years ago

TI__Mastermind 22145 points

Yolo v2 head decoding is not supported in the 7.0 SDk release.

We will be supporting in 7.1 release(Oct End). Now only Bake bone network would be supported.

So set outDataNamesList to the output for your backbone,

If you still face issue, share the import config file and representative model

0 Adam Wolff over 5 years ago in reply to kumar.desappan

Prodigy 230 points

Hello Kumar,

I managed to proceed with the import procedure after some refactoring and got to a more advanced point. Here is the full import log message in which I'm currently stuck:

ONNX Model (Proto) File : ../../test/testvecs/models/public/onnx/yolov3ours/model_sim.onnx
TIDL Network File : ../../test/testvecs/config/tidl_models/onnx/tidl_net_yolo3ours.bin
TIDL IO Info File : ../../test/testvecs/config/tidl_models/onnx/tidl_io_yolo3ours_
Current ONNX OpSet Version : 9
Num of Layer Detected : 106
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Num|TIDL Layer Name |Out Data Name |Group |#Ins |#Outs |Inbuf Ids |Outbuf Id |In NCHW |Out NCHW |MACS |
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
0|TIDL_DataLayer |input_original | 0| -1| 1| x x x x x x x x | 0 | 0 0 0 0 | 1 1 416 416 | 0 |
1|TIDL_ConvolutionLayer |441 | 0| 1| 1| 0 x x x x x x x | 1 | 1 1 416 416 | 1 32 416 416 | 55377920 |
2|TIDL_ConvolutionLayer |444 | 0| 1| 1| 1 x x x x x x x | 2 | 1 32 416 416 | 1 64 208 208 | 800210944 |
3|TIDL_ConvolutionLayer |447 | 0| 1| 1| 2 x x x x x x x | 3 | 1 64 208 208 | 1 32 208 208 | 89989120 |
4|TIDL_ConvolutionLayer |450 | 0| 1| 1| 3 x x x x x x x | 4 | 1 32 208 208 | 1 64 208 208 | 800210944 |
5|TIDL_EltWiseLayer |451 | 0| 2| 1| 4 2 x x x x x x | 5 | 1 64 208 208 | 1 64 208 208 | 2768896 |
6|TIDL_ConvolutionLayer |454 | 0| 1| 1| 5 x x x x x x x | 6 | 1 64 208 208 | 1 128 104 104 | 798826496 |
7|TIDL_ConvolutionLayer |457 | 0| 1| 1| 6 x x x x x x x | 7 | 1 128 104 104 | 1 64 104 104 | 89296896 |
8|TIDL_ConvolutionLayer |460 | 0| 1| 1| 7 x x x x x x x | 8 | 1 64 104 104 | 1 128 104 104 | 798826496 |
9|TIDL_EltWiseLayer |461 | 0| 2| 1| 8 6 x x x x x x | 9 | 1 128 104 104 | 1 128 104 104 | 1384448 |
10|TIDL_ConvolutionLayer |464 | 0| 1| 1| 9 x x x x x x x | 10 | 1 128 104 104 | 1 64 104 104 | 89296896 |
11|TIDL_ConvolutionLayer |467 | 0| 1| 1| 10 x x x x x x x | 11 | 1 64 104 104 | 1 128 104 104 | 798826496 |
12|TIDL_EltWiseLayer |468 | 0| 2| 1| 11 9 x x x x x x | 12 | 1 128 104 104 | 1 128 104 104 | 1384448 |
13|TIDL_ConvolutionLayer |471 | 0| 1| 1| 12 x x x x x x x | 13 | 1 128 104 104 | 1 256 52 52 | 798134272 |
14|TIDL_ConvolutionLayer |474 | 0| 1| 1| 13 x x x x x x x | 14 | 1 256 52 52 | 1 128 52 52 | 88950784 |
15|TIDL_ConvolutionLayer |477 | 0| 1| 1| 14 x x x x x x x | 15 | 1 128 52 52 | 1 256 52 52 | 798134272 |
16|TIDL_EltWiseLayer |478 | 0| 2| 1| 15 13 x x x x x x | 16 | 1 256 52 52 | 1 256 52 52 | 692224 |
17|TIDL_ConvolutionLayer |481 | 0| 1| 1| 16 x x x x x x x | 17 | 1 256 52 52 | 1 128 52 52 | 88950784 |
18|TIDL_ConvolutionLayer |484 | 0| 1| 1| 17 x x x x x x x | 18 | 1 128 52 52 | 1 256 52 52 | 798134272 |
19|TIDL_EltWiseLayer |485 | 0| 2| 1| 18 16 x x x x x x | 19 | 1 256 52 52 | 1 256 52 52 | 692224 |
20|TIDL_ConvolutionLayer |488 | 0| 1| 1| 19 x x x x x x x | 20 | 1 256 52 52 | 1 128 52 52 | 88950784 |
21|TIDL_ConvolutionLayer |491 | 0| 1| 1| 20 x x x x x x x | 21 | 1 128 52 52 | 1 256 52 52 | 798134272 |
22|TIDL_EltWiseLayer |492 | 0| 2| 1| 21 19 x x x x x x | 22 | 1 256 52 52 | 1 256 52 52 | 692224 |
23|TIDL_ConvolutionLayer |495 | 0| 1| 1| 22 x x x x x x x | 23 | 1 256 52 52 | 1 128 52 52 | 88950784 |
24|TIDL_ConvolutionLayer |498 | 0| 1| 1| 23 x x x x x x x | 24 | 1 128 52 52 | 1 256 52 52 | 798134272 |
25|TIDL_EltWiseLayer |499 | 0| 2| 1| 24 22 x x x x x x | 25 | 1 256 52 52 | 1 256 52 52 | 692224 |
26|TIDL_ConvolutionLayer |502 | 0| 1| 1| 25 x x x x x x x | 26 | 1 256 52 52 | 1 128 52 52 | 88950784 |
27|TIDL_ConvolutionLayer |505 | 0| 1| 1| 26 x x x x x x x | 27 | 1 128 52 52 | 1 256 52 52 | 798134272 |
28|TIDL_EltWiseLayer |506 | 0| 2| 1| 27 25 x x x x x x | 28 | 1 256 52 52 | 1 256 52 52 | 692224 |
29|TIDL_ConvolutionLayer |509 | 0| 1| 1| 28 x x x x x x x | 29 | 1 256 52 52 | 1 128 52 52 | 88950784 |
30|TIDL_ConvolutionLayer |512 | 0| 1| 1| 29 x x x x x x x | 30 | 1 128 52 52 | 1 256 52 52 | 798134272 |
31|TIDL_EltWiseLayer |513 | 0| 2| 1| 30 28 x x x x x x | 31 | 1 256 52 52 | 1 256 52 52 | 692224 |
32|TIDL_ConvolutionLayer |516 | 0| 1| 1| 31 x x x x x x x | 32 | 1 256 52 52 | 1 128 52 52 | 88950784 |
33|TIDL_ConvolutionLayer |519 | 0| 1| 1| 32 x x x x x x x | 33 | 1 128 52 52 | 1 256 52 52 | 798134272 |
34|TIDL_EltWiseLayer |520 | 0| 2| 1| 33 31 x x x x x x | 34 | 1 256 52 52 | 1 256 52 52 | 692224 |
35|TIDL_ConvolutionLayer |523 | 0| 1| 1| 34 x x x x x x x | 35 | 1 256 52 52 | 1 128 52 52 | 88950784 |
36|TIDL_ConvolutionLayer |526 | 0| 1| 1| 35 x x x x x x x | 36 | 1 128 52 52 | 1 256 52 52 | 798134272 |
37|TIDL_EltWiseLayer |527 | 0| 2| 1| 36 34 x x x x x x | 37 | 1 256 52 52 | 1 256 52 52 | 692224 |
38|TIDL_ConvolutionLayer |530 | 0| 1| 1| 37 x x x x x x x | 38 | 1 256 52 52 | 1 512 26 26 | 797788160 |
39|TIDL_ConvolutionLayer |533 | 0| 1| 1| 38 x x x x x x x | 39 | 1 512 26 26 | 1 256 26 26 | 88777728 |
40|TIDL_ConvolutionLayer |536 | 0| 1| 1| 39 x x x x x x x | 40 | 1 256 26 26 | 1 512 26 26 | 797788160 |
41|TIDL_EltWiseLayer |537 | 0| 2| 1| 40 38 x x x x x x | 41 | 1 512 26 26 | 1 512 26 26 | 346112 |
42|TIDL_ConvolutionLayer |540 | 0| 1| 1| 41 x x x x x x x | 42 | 1 512 26 26 | 1 256 26 26 | 88777728 |
43|TIDL_ConvolutionLayer |543 | 0| 1| 1| 42 x x x x x x x | 43 | 1 256 26 26 | 1 512 26 26 | 797788160 |
44|TIDL_EltWiseLayer |544 | 0| 2| 1| 43 41 x x x x x x | 44 | 1 512 26 26 | 1 512 26 26 | 346112 |
45|TIDL_ConvolutionLayer |547 | 0| 1| 1| 44 x x x x x x x | 45 | 1 512 26 26 | 1 256 26 26 | 88777728 |
46|TIDL_ConvolutionLayer |550 | 0| 1| 1| 45 x x x x x x x | 46 | 1 256 26 26 | 1 512 26 26 | 797788160 |
47|TIDL_EltWiseLayer |551 | 0| 2| 1| 46 44 x x x x x x | 47 | 1 512 26 26 | 1 512 26 26 | 346112 |
48|TIDL_ConvolutionLayer |554 | 0| 1| 1| 47 x x x x x x x | 48 | 1 512 26 26 | 1 256 26 26 | 88777728 |
49|TIDL_ConvolutionLayer |557 | 0| 1| 1| 48 x x x x x x x | 49 | 1 256 26 26 | 1 512 26 26 | 797788160 |
50|TIDL_EltWiseLayer |558 | 0| 2| 1| 49 47 x x x x x x | 50 | 1 512 26 26 | 1 512 26 26 | 346112 |
51|TIDL_ConvolutionLayer |561 | 0| 1| 1| 50 x x x x x x x | 51 | 1 512 26 26 | 1 256 26 26 | 88777728 |
52|TIDL_ConvolutionLayer |564 | 0| 1| 1| 51 x x x x x x x | 52 | 1 256 26 26 | 1 512 26 26 | 797788160 |
53|TIDL_EltWiseLayer |565 | 0| 2| 1| 52 50 x x x x x x | 53 | 1 512 26 26 | 1 512 26 26 | 346112 |
54|TIDL_ConvolutionLayer |568 | 0| 1| 1| 53 x x x x x x x | 54 | 1 512 26 26 | 1 256 26 26 | 88777728 |
55|TIDL_ConvolutionLayer |571 | 0| 1| 1| 54 x x x x x x x | 55 | 1 256 26 26 | 1 512 26 26 | 797788160 |
56|TIDL_EltWiseLayer |572 | 0| 2| 1| 55 53 x x x x x x | 56 | 1 512 26 26 | 1 512 26 26 | 346112 |
57|TIDL_ConvolutionLayer |575 | 0| 1| 1| 56 x x x x x x x | 57 | 1 512 26 26 | 1 256 26 26 | 88777728 |
58|TIDL_ConvolutionLayer |578 | 0| 1| 1| 57 x x x x x x x | 58 | 1 256 26 26 | 1 512 26 26 | 797788160 |
59|TIDL_EltWiseLayer |579 | 0| 2| 1| 58 56 x x x x x x | 59 | 1 512 26 26 | 1 512 26 26 | 346112 |
60|TIDL_ConvolutionLayer |582 | 0| 1| 1| 59 x x x x x x x | 60 | 1 512 26 26 | 1 256 26 26 | 88777728 |
61|TIDL_ConvolutionLayer |585 | 0| 1| 1| 60 x x x x x x x | 61 | 1 256 26 26 | 1 512 26 26 | 797788160 |
62|TIDL_EltWiseLayer |586 | 0| 2| 1| 61 59 x x x x x x | 62 | 1 512 26 26 | 1 512 26 26 | 346112 |
63|TIDL_ConvolutionLayer |589 | 0| 1| 1| 62 x x x x x x x | 63 | 1 512 26 26 | 1 1024 13 13 | 797615104 |
64|TIDL_ConvolutionLayer |592 | 0| 1| 1| 63 x x x x x x x | 64 | 1 1024 13 13 | 1 512 13 13 | 88691200 |
65|TIDL_ConvolutionLayer |595 | 0| 1| 1| 64 x x x x x x x | 65 | 1 512 13 13 | 1 1024 13 13 | 797615104 |
66|TIDL_EltWiseLayer |596 | 0| 2| 1| 65 63 x x x x x x | 66 | 1 1024 13 13 | 1 1024 13 13 | 173056 |
67|TIDL_ConvolutionLayer |599 | 0| 1| 1| 66 x x x x x x x | 67 | 1 1024 13 13 | 1 512 13 13 | 88691200 |
68|TIDL_ConvolutionLayer |602 | 0| 1| 1| 67 x x x x x x x | 68 | 1 512 13 13 | 1 1024 13 13 | 797615104 |
69|TIDL_EltWiseLayer |603 | 0| 2| 1| 68 66 x x x x x x | 69 | 1 1024 13 13 | 1 1024 13 13 | 173056 |
70|TIDL_ConvolutionLayer |606 | 0| 1| 1| 69 x x x x x x x | 70 | 1 1024 13 13 | 1 512 13 13 | 88691200 |
71|TIDL_ConvolutionLayer |609 | 0| 1| 1| 70 x x x x x x x | 71 | 1 512 13 13 | 1 1024 13 13 | 797615104 |
72|TIDL_EltWiseLayer |610 | 0| 2| 1| 71 69 x x x x x x | 72 | 1 1024 13 13 | 1 1024 13 13 | 173056 |
73|TIDL_ConvolutionLayer |613 | 0| 1| 1| 72 x x x x x x x | 73 | 1 1024 13 13 | 1 512 13 13 | 88691200 |
74|TIDL_ConvolutionLayer |616 | 0| 1| 1| 73 x x x x x x x | 74 | 1 512 13 13 | 1 1024 13 13 | 797615104 |
75|TIDL_EltWiseLayer |617 | 0| 2| 1| 74 72 x x x x x x | 75 | 1 1024 13 13 | 1 1024 13 13 | 173056 |
76|TIDL_ConvolutionLayer |620 | 0| 1| 1| 75 x x x x x x x | 76 | 1 1024 13 13 | 1 512 13 13 | 88691200 |
77|TIDL_ConvolutionLayer |623 | 0| 1| 1| 76 x x x x x x x | 77 | 1 512 13 13 | 1 1024 13 13 | 797615104 |
78|TIDL_ConvolutionLayer |626 | 0| 1| 1| 77 x x x x x x x | 78 | 1 1024 13 13 | 1 512 13 13 | 88691200 |
79|TIDL_ConvolutionLayer |629 | 0| 1| 1| 78 x x x x x x x | 79 | 1 512 13 13 | 1 1024 13 13 | 797615104 |
80|TIDL_ConvolutionLayer |632 | 0| 1| 1| 79 x x x x x x x | 80 | 1 1024 13 13 | 1 512 13 13 | 88691200 |
81|TIDL_ConvolutionLayer |639 | 0| 1| 1| 80 x x x x x x x | 81 | 1 512 13 13 | 1 256 13 13 | 22194432 |
82|TIDL_ConvolutionLayer |635 | 0| 1| 1| 80 x x x x x x x | 82 | 1 512 13 13 | 1 1024 13 13 | 797615104 |
83|TIDL_ResizeLayer |666 | 0| 1| 1| 81 x x x x x x x | 83 | 1 256 13 13 | 1 256 26 26 | 692224 |
84|TIDL_ConvolutionLayer |output0 | 0| 1| 1| 82 x x x x x x x | 84 | 1 1024 13 13 | 1 33 13 13 | 5710848 |
85|TIDL_ConcatLayer |667 | 0| 2| 1| 62 83 x x x x x x | 85 | 1 512 26 26 | 1 768 26 26 | 519168 |
86|TIDL_DataLayer |output0 | 0| 1| -1| 84 x x x x x x x | 0 | 1 33 13 13 | 0 0 0 0 | 0 |
87|TIDL_ConvolutionLayer |670 | 0| 1| 1| 85 x x x x x x x | 87 | 1 768 26 26 | 1 256 26 26 | 133080064 |
88|TIDL_ConvolutionLayer |673 | 0| 1| 1| 87 x x x x x x x | 88 | 1 256 26 26 | 1 512 26 26 | 797788160 |
89|TIDL_ConvolutionLayer |676 | 0| 1| 1| 88 x x x x x x x | 89 | 1 512 26 26 | 1 256 26 26 | 88777728 |
90|TIDL_ConvolutionLayer |679 | 0| 1| 1| 89 x x x x x x x | 90 | 1 256 26 26 | 1 512 26 26 | 797788160 |
91|TIDL_ConvolutionLayer |682 | 0| 1| 1| 90 x x x x x x x | 91 | 1 512 26 26 | 1 256 26 26 | 88777728 |
92|TIDL_ConvolutionLayer |689 | 0| 1| 1| 91 x x x x x x x | 92 | 1 256 26 26 | 1 128 26 26 | 22237696 |
93|TIDL_ConvolutionLayer |685 | 0| 1| 1| 91 x x x x x x x | 93 | 1 256 26 26 | 1 512 26 26 | 797788160 |
94|TIDL_ResizeLayer |716 | 0| 1| 1| 92 x x x x x x x | 94 | 1 128 26 26 | 1 128 104 104 | 5537792 |
95|TIDL_ConvolutionLayer |output1 | 0| 1| 1| 93 x x x x x x x | 95 | 1 512 26 26 | 1 33 26 26 | 11421696 |
96|TIDL_ConcatLayer |717 | 0| 2| 1| 12 94 x x x x x x | 96 | 1 128 104 104 | 1 256 104 104 | 2768896 |
97|TIDL_DataLayer |output1 | 0| 1| -1| 95 x x x x x x x | 0 | 1 33 26 26 | 0 0 0 0 | 0 |
98|TIDL_ConvolutionLayer |720 | 0| 1| 1| 96 x x x x x x x | 98 | 1 256 104 104 | 1 128 104 104 | 355803136 |
99|TIDL_ConvolutionLayer |723 | 0| 1| 1| 98 x x x x x x x | 99 | 1 128 104 104 | 1 256 104 104 |3192537088 |
100|TIDL_ConvolutionLayer |726 | 0| 1| 1| 99 x x x x x x x |100 | 1 256 104 104 | 1 128 104 104 | 355803136 |
101|TIDL_ConvolutionLayer |729 | 0| 1| 1|100 x x x x x x x |101 | 1 128 104 104 | 1 256 104 104 |3192537088 |
102|TIDL_ConvolutionLayer |732 | 0| 1| 1|101 x x x x x x x |102 | 1 256 104 104 | 1 128 104 104 | 355803136 |
103|TIDL_ConvolutionLayer |735 | 0| 1| 1|102 x x x x x x x |103 | 1 128 104 104 | 1 256 104 104 |3192537088 |
104|TIDL_ConvolutionLayer |output2 | 0| 1| 1|103 x x x x x x x |104 | 1 256 104 104 | 1 33 104 104 | 91373568 |
105|TIDL_DataLayer |output2 | 0| 1| -1|104 x x x x x x x | 0 | 1 33 104 104 | 0 0 0 0 | 0 |
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Total Giga Macs : 40.6338
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

~~~~~Running TIDL in PC emulation mode to collect Activations range for each layer~~~~~

Processing config file #0 : /home/adasky/ti/psdk_rtos_auto_j7_07_00_00_11/tidl_j7_01_02_00_09/ti_dl/test/testvecs/config/tidl_models/onnx/tidl_import_yolo3ours.txt.qunat_stats_config.txt
61813442, 58.950 0x7f9d238f1010
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Num|TIDL Layer Name |Group |#Ins |#Outs |Inbuf Ids |Outbuf Id |In NCHW |Out NCHW |
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
0|TIDL_DataLayer | 0| -1| 1| x x x x x x x x | 0 | 0 0 0 0 | 1 1 416 416 |
1|TIDL_ConvolutionLayer | 1| 1| 1| 0 x x x x x x x | 1 | 1 1 416 416 | 1 32 416 416 |
2|TIDL_ConvolutionLayer | 1| 1| 1| 1 x x x x x x x | 2 | 1 32 416 416 | 1 64 208 208 |
3|TIDL_ConvolutionLayer | 1| 1| 1| 2 x x x x x x x | 3 | 1 64 208 208 | 1 32 208 208 |
4|TIDL_ConvolutionLayer | 1| 1| 1| 3 x x x x x x x | 4 | 1 32 208 208 | 1 64 208 208 |
5|TIDL_EltWiseLayer | 1| 2| 1| 4 2 x x x x x x | 5 | 1 64 208 208 | 1 64 208 208 |
6|TIDL_ConvolutionLayer | 1| 1| 1| 5 x x x x x x x | 6 | 1 64 208 208 | 1 128 104 104 |
7|TIDL_ConvolutionLayer | 1| 1| 1| 6 x x x x x x x | 7 | 1 128 104 104 | 1 64 104 104 |
8|TIDL_ConvolutionLayer | 1| 1| 1| 7 x x x x x x x | 8 | 1 64 104 104 | 1 128 104 104 |
9|TIDL_EltWiseLayer | 1| 2| 1| 8 6 x x x x x x | 9 | 1 128 104 104 | 1 128 104 104 |
10|TIDL_ConvolutionLayer | 1| 1| 1| 9 x x x x x x x | 10 | 1 128 104 104 | 1 64 104 104 |
11|TIDL_ConvolutionLayer | 1| 1| 1| 10 x x x x x x x | 11 | 1 64 104 104 | 1 128 104 104 |
12|TIDL_EltWiseLayer | 1| 2| 1| 11 9 x x x x x x | 12 | 1 128 104 104 | 1 128 104 104 |
13|TIDL_ConvolutionLayer | 1| 1| 1| 12 x x x x x x x | 13 | 1 128 104 104 | 1 256 52 52 |
14|TIDL_ConvolutionLayer | 1| 1| 1| 13 x x x x x x x | 14 | 1 256 52 52 | 1 128 52 52 |
15|TIDL_ConvolutionLayer | 1| 1| 1| 14 x x x x x x x | 15 | 1 128 52 52 | 1 256 52 52 |
16|TIDL_EltWiseLayer | 1| 2| 1| 15 13 x x x x x x | 16 | 1 256 52 52 | 1 256 52 52 |
17|TIDL_ConvolutionLayer | 1| 1| 1| 16 x x x x x x x | 17 | 1 256 52 52 | 1 128 52 52 |
18|TIDL_ConvolutionLayer | 1| 1| 1| 17 x x x x x x x | 18 | 1 128 52 52 | 1 256 52 52 |
19|TIDL_EltWiseLayer | 1| 2| 1| 18 16 x x x x x x | 19 | 1 256 52 52 | 1 256 52 52 |
20|TIDL_ConvolutionLayer | 1| 1| 1| 19 x x x x x x x | 20 | 1 256 52 52 | 1 128 52 52 |
21|TIDL_ConvolutionLayer | 1| 1| 1| 20 x x x x x x x | 21 | 1 128 52 52 | 1 256 52 52 |
22|TIDL_EltWiseLayer | 1| 2| 1| 21 19 x x x x x x | 22 | 1 256 52 52 | 1 256 52 52 |
23|TIDL_ConvolutionLayer | 1| 1| 1| 22 x x x x x x x | 23 | 1 256 52 52 | 1 128 52 52 |
24|TIDL_ConvolutionLayer | 1| 1| 1| 23 x x x x x x x | 24 | 1 128 52 52 | 1 256 52 52 |
25|TIDL_EltWiseLayer | 1| 2| 1| 24 22 x x x x x x | 25 | 1 256 52 52 | 1 256 52 52 |
26|TIDL_ConvolutionLayer | 1| 1| 1| 25 x x x x x x x | 26 | 1 256 52 52 | 1 128 52 52 |
27|TIDL_ConvolutionLayer | 1| 1| 1| 26 x x x x x x x | 27 | 1 128 52 52 | 1 256 52 52 |
28|TIDL_EltWiseLayer | 1| 2| 1| 27 25 x x x x x x | 28 | 1 256 52 52 | 1 256 52 52 |
29|TIDL_ConvolutionLayer | 1| 1| 1| 28 x x x x x x x | 29 | 1 256 52 52 | 1 128 52 52 |
30|TIDL_ConvolutionLayer | 1| 1| 1| 29 x x x x x x x | 30 | 1 128 52 52 | 1 256 52 52 |
31|TIDL_EltWiseLayer | 1| 2| 1| 30 28 x x x x x x | 31 | 1 256 52 52 | 1 256 52 52 |
32|TIDL_ConvolutionLayer | 1| 1| 1| 31 x x x x x x x | 32 | 1 256 52 52 | 1 128 52 52 |
33|TIDL_ConvolutionLayer | 1| 1| 1| 32 x x x x x x x | 33 | 1 128 52 52 | 1 256 52 52 |
34|TIDL_EltWiseLayer | 1| 2| 1| 33 31 x x x x x x | 34 | 1 256 52 52 | 1 256 52 52 |
35|TIDL_ConvolutionLayer | 1| 1| 1| 34 x x x x x x x | 35 | 1 256 52 52 | 1 128 52 52 |
36|TIDL_ConvolutionLayer | 1| 1| 1| 35 x x x x x x x | 36 | 1 128 52 52 | 1 256 52 52 |
37|TIDL_EltWiseLayer | 1| 2| 1| 36 34 x x x x x x | 37 | 1 256 52 52 | 1 256 52 52 |
38|TIDL_ConvolutionLayer | 1| 1| 1| 37 x x x x x x x | 38 | 1 256 52 52 | 1 512 26 26 |
39|TIDL_ConvolutionLayer | 1| 1| 1| 38 x x x x x x x | 39 | 1 512 26 26 | 1 256 26 26 |
40|TIDL_ConvolutionLayer | 1| 1| 1| 39 x x x x x x x | 40 | 1 256 26 26 | 1 512 26 26 |
41|TIDL_EltWiseLayer | 1| 2| 1| 40 38 x x x x x x | 41 | 1 512 26 26 | 1 512 26 26 |
42|TIDL_ConvolutionLayer | 1| 1| 1| 41 x x x x x x x | 42 | 1 512 26 26 | 1 256 26 26 |
43|TIDL_ConvolutionLayer | 1| 1| 1| 42 x x x x x x x | 43 | 1 256 26 26 | 1 512 26 26 |
44|TIDL_EltWiseLayer | 1| 2| 1| 43 41 x x x x x x | 44 | 1 512 26 26 | 1 512 26 26 |
45|TIDL_ConvolutionLayer | 1| 1| 1| 44 x x x x x x x | 45 | 1 512 26 26 | 1 256 26 26 |
46|TIDL_ConvolutionLayer | 1| 1| 1| 45 x x x x x x x | 46 | 1 256 26 26 | 1 512 26 26 |
47|TIDL_EltWiseLayer | 1| 2| 1| 46 44 x x x x x x | 47 | 1 512 26 26 | 1 512 26 26 |
48|TIDL_ConvolutionLayer | 1| 1| 1| 47 x x x x x x x | 48 | 1 512 26 26 | 1 256 26 26 |
49|TIDL_ConvolutionLayer | 1| 1| 1| 48 x x x x x x x | 49 | 1 256 26 26 | 1 512 26 26 |
50|TIDL_EltWiseLayer | 1| 2| 1| 49 47 x x x x x x | 50 | 1 512 26 26 | 1 512 26 26 |
51|TIDL_ConvolutionLayer | 1| 1| 1| 50 x x x x x x x | 51 | 1 512 26 26 | 1 256 26 26 |
52|TIDL_ConvolutionLayer | 1| 1| 1| 51 x x x x x x x | 52 | 1 256 26 26 | 1 512 26 26 |
53|TIDL_EltWiseLayer | 1| 2| 1| 52 50 x x x x x x | 53 | 1 512 26 26 | 1 512 26 26 |
54|TIDL_ConvolutionLayer | 1| 1| 1| 53 x x x x x x x | 54 | 1 512 26 26 | 1 256 26 26 |
55|TIDL_ConvolutionLayer | 1| 1| 1| 54 x x x x x x x | 55 | 1 256 26 26 | 1 512 26 26 |
56|TIDL_EltWiseLayer | 1| 2| 1| 55 53 x x x x x x | 56 | 1 512 26 26 | 1 512 26 26 |
57|TIDL_ConvolutionLayer | 1| 1| 1| 56 x x x x x x x | 57 | 1 512 26 26 | 1 256 26 26 |
58|TIDL_ConvolutionLayer | 1| 1| 1| 57 x x x x x x x | 58 | 1 256 26 26 | 1 512 26 26 |
59|TIDL_EltWiseLayer | 1| 2| 1| 58 56 x x x x x x | 59 | 1 512 26 26 | 1 512 26 26 |
60|TIDL_ConvolutionLayer | 1| 1| 1| 59 x x x x x x x | 60 | 1 512 26 26 | 1 256 26 26 |
61|TIDL_ConvolutionLayer | 1| 1| 1| 60 x x x x x x x | 61 | 1 256 26 26 | 1 512 26 26 |
62|TIDL_EltWiseLayer | 1| 2| 1| 61 59 x x x x x x | 62 | 1 512 26 26 | 1 512 26 26 |
63|TIDL_ConvolutionLayer | 1| 1| 1| 62 x x x x x x x | 63 | 1 512 26 26 | 1 1024 13 13 |
64|TIDL_ConvolutionLayer | 1| 1| 1| 63 x x x x x x x | 64 | 1 1024 13 13 | 1 512 13 13 |
65|TIDL_ConvolutionLayer | 1| 1| 1| 64 x x x x x x x | 65 | 1 512 13 13 | 1 1024 13 13 |
66|TIDL_EltWiseLayer | 1| 2| 1| 65 63 x x x x x x | 66 | 1 1024 13 13 | 1 1024 13 13 |
67|TIDL_ConvolutionLayer | 1| 1| 1| 66 x x x x x x x | 67 | 1 1024 13 13 | 1 512 13 13 |
68|TIDL_ConvolutionLayer | 1| 1| 1| 67 x x x x x x x | 68 | 1 512 13 13 | 1 1024 13 13 |
69|TIDL_EltWiseLayer | 1| 2| 1| 68 66 x x x x x x | 69 | 1 1024 13 13 | 1 1024 13 13 |
70|TIDL_ConvolutionLayer | 1| 1| 1| 69 x x x x x x x | 70 | 1 1024 13 13 | 1 512 13 13 |
71|TIDL_ConvolutionLayer | 1| 1| 1| 70 x x x x x x x | 71 | 1 512 13 13 | 1 1024 13 13 |
72|TIDL_EltWiseLayer | 1| 2| 1| 71 69 x x x x x x | 72 | 1 1024 13 13 | 1 1024 13 13 |
73|TIDL_ConvolutionLayer | 1| 1| 1| 72 x x x x x x x | 73 | 1 1024 13 13 | 1 512 13 13 |
74|TIDL_ConvolutionLayer | 1| 1| 1| 73 x x x x x x x | 74 | 1 512 13 13 | 1 1024 13 13 |
75|TIDL_EltWiseLayer | 1| 2| 1| 74 72 x x x x x x | 75 | 1 1024 13 13 | 1 1024 13 13 |
76|TIDL_ConvolutionLayer | 1| 1| 1| 75 x x x x x x x | 76 | 1 1024 13 13 | 1 512 13 13 |
77|TIDL_ConvolutionLayer | 1| 1| 1| 76 x x x x x x x | 77 | 1 512 13 13 | 1 1024 13 13 |
78|TIDL_ConvolutionLayer | 1| 1| 1| 77 x x x x x x x | 78 | 1 1024 13 13 | 1 512 13 13 |
79|TIDL_ConvolutionLayer | 1| 1| 1| 78 x x x x x x x | 79 | 1 512 13 13 | 1 1024 13 13 |
80|TIDL_ConvolutionLayer | 1| 1| 1| 79 x x x x x x x | 80 | 1 1024 13 13 | 1 512 13 13 |
81|TIDL_ConvolutionLayer | 1| 1| 1| 80 x x x x x x x | 81 | 1 512 13 13 | 1 256 13 13 |
82|TIDL_ConvolutionLayer | 1| 1| 1| 80 x x x x x x x | 82 | 1 512 13 13 | 1 1024 13 13 |
83|TIDL_ResizeLayer | 1| 1| 1| 81 x x x x x x x | 83 | 1 256 13 13 | 1 256 26 26 |
84|TIDL_ConvolutionLayer | 1| 1| 1| 82 x x x x x x x | 84 | 1 1024 13 13 | 1 33 13 13 |
85|TIDL_ConcatLayer | 1| 2| 1| 62 83 x x x x x x | 85 | 1 512 26 26 | 1 768 26 26 |
86|TIDL_DataLayer | 0| 1| -1| 84 x x x x x x x | 0 | 1 33 13 13 | 0 0 0 0 |
87|TIDL_ConvolutionLayer | 1| 1| 1| 85 x x x x x x x | 87 | 1 768 26 26 | 1 256 26 26 |
88|TIDL_ConvolutionLayer | 1| 1| 1| 87 x x x x x x x | 88 | 1 256 26 26 | 1 512 26 26 |
89|TIDL_ConvolutionLayer | 1| 1| 1| 88 x x x x x x x | 89 | 1 512 26 26 | 1 256 26 26 |
90|TIDL_ConvolutionLayer | 1| 1| 1| 89 x x x x x x x | 90 | 1 256 26 26 | 1 512 26 26 |
91|TIDL_ConvolutionLayer | 1| 1| 1| 90 x x x x x x x | 91 | 1 512 26 26 | 1 256 26 26 |
92|TIDL_ConvolutionLayer | 1| 1| 1| 91 x x x x x x x | 92 | 1 256 26 26 | 1 128 26 26 |
93|TIDL_ConvolutionLayer | 1| 1| 1| 91 x x x x x x x | 93 | 1 256 26 26 | 1 512 26 26 |
94|TIDL_ResizeLayer | 1| 1| 1| 92 x x x x x x x | 94 | 1 128 26 26 | 1 128 104 104 |
95|TIDL_ConvolutionLayer | 1| 1| 1| 93 x x x x x x x | 95 | 1 512 26 26 | 1 33 26 26 |
96|TIDL_ConcatLayer | 1| 2| 1| 12 94 x x x x x x | 96 | 1 128 104 104 | 1 256 104 104 |
97|TIDL_DataLayer | 0| 1| -1| 95 x x x x x x x | 0 | 1 33 26 26 | 0 0 0 0 |
98|TIDL_ConvolutionLayer | 1| 1| 1| 96 x x x x x x x | 98 | 1 256 104 104 | 1 128 104 104 |
99|TIDL_ConvolutionLayer | 1| 1| 1| 98 x x x x x x x | 99 | 1 128 104 104 | 1 256 104 104 |
100|TIDL_ConvolutionLayer | 1| 1| 1| 99 x x x x x x x |100 | 1 256 104 104 | 1 128 104 104 |
101|TIDL_ConvolutionLayer | 1| 1| 1|100 x x x x x x x |101 | 1 128 104 104 | 1 256 104 104 |
102|TIDL_ConvolutionLayer | 1| 1| 1|101 x x x x x x x |102 | 1 256 104 104 | 1 128 104 104 |
103|TIDL_ConvolutionLayer | 1| 1| 1|102 x x x x x x x |103 | 1 128 104 104 | 1 256 104 104 |
104|TIDL_ConvolutionLayer | 1| 1| 1|103 x x x x x x x |104 | 1 256 104 104 | 1 33 104 104 |
105|TIDL_DataLayer | 0| 1| -1|104 x x x x x x x | 0 | 1 33 104 104 | 0 0 0 0 |
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
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Num, Space, SizeinBytes, SineInMB
0, 17, 2840, 0.003 0x55dc46228c60
1, 17, 120, 0.000 0x55dc46229780
2, 17, 16384, 0.016 0x55dc46229800
3, 17, 1024, 0.001 0x55dc4622d810
4, 17, 57344, 0.055 0x55dc4622dc20
5, 17, 144268, 0.138 0x7f9dbcc40010
6, 17, 40596544, 38.716 0x7f9d21239010
7, 17, 256, 0.000 0x55dc46224c10
8, 17, 67093760, 63.986 0x7f9d1d23c010
9, 17, 44732160, 42.660 0x7f9d1a793010
10, 17, 4878592, 4.653 0x7f9d1a2eb010
11, 17, 1077776, 1.028 0x7f9d1a1e3010
12, 17, 11363, 0.011 0x55dc4623bc30
Total External Memory (DDR) Size = 158612431, 151.265
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Instance created for /home/adasky/ti/psdk_rtos_auto_j7_07_00_00_11/tidl_j7_01_02_00_09/ti_dl/test/testvecs/config/tidl_models/onnx/tidl_import_yolo3ours.txt.qunat_stats_config.txt

Processing Cnt : 0, InstCnt : 0 /home/adasky/ti/psdk_rtos_auto_j7_07_00_00_11/tidl_j7_01_02_00_09/ti_dl/test/testvecs/config/tidl_models/onnx/tidl_net_yolo3ours.bin!
349446, 0.333 0x7f9dbcada010
7616, 0.007 0x55dc46243d00
26622, 0.025 0x55dc46245ad0
381990, 0.364 0x7f9dbca7c010
----------------------- TIDL Process with REF_ONLY FLOW ------------------------

# 0Error in reading /home/adasky/ti/psdk_rtos_auto_j7_07_00_00_11/tidl_j7_01_02_00_09/ti_dl/test/testvecs/config/detection_list_fir.txt, /home/adasky/ti/psdk_rtos_auto_j7_07_00_00_11/tidl_j7_01_02_00_09/ti_dl/test/testvecs/config/detection_list_fir.txt
cd /home/adasky/ti/psdk_rtos_auto_j7_07_00_00_11/tidl_j7_01_02_00_09/ti_dl/test && ./PC_dsp_test_dl_algo.out s:/home/adasky/ti/psdk_rtos_auto_j7_07_00_00_11/tidl_j7_01_02_00_09/ti_dl/test/testvecs/config/tidl_models/onnx/tidl_import_yolo3ours.txt.qunat_stats_config.txtcp /home/adasky/ti/psdk_rtos_auto_j7_07_00_00_11/tidl_j7_01_02_00_09/ti_dl/test/testvecs/config/import/device_config.cfg /home/adasky/ti/psdk_rtos_auto_j7_07_00_00_11/tidl_j7_01_02_00_09/ti_dl/test/testvecs/config/tidl_models/onnx/tidl_import_yolo3ours.txt.perf_sim_config.txt
cd /home/adasky/ti/psdk_rtos_auto_j7_07_00_00_11/tidl_j7_01_02_00_09/ti_dl/utils/perfsim && ./ti_cnnperfsim.out /home/adasky/ti/psdk_rtos_auto_j7_07_00_00_11/tidl_j7_01_02_00_09/ti_dl/test/testvecs/config/tidl_models/onnx/tidl_import_yolo3ours.txt.perf_sim_config.txt 577 0 2

------------------ Network Compiler Traces -----------------------------
successful Memory allocation

-------------------- Network Compiler : Analysis Results are available --------------------

/home/adasky/ti/psdk_rtos_auto_j7_07_00_00_11/tidl_j7_01_02_00_09/ti_dl/utils/tidlModelGraphviz/out/tidl_graphVisualiser.out ../../test/testvecs/config/tidl_models/onnx/tidl_net_yolo3ours.bin
****************************************************
** TIDL Model Checker **
****************************************************
INFORMATION : Any resize ratio which is power of 2 and greater than 4 will be placed by combination of 4x4 resize layer and 2x2 resize layer
INFORMATION : Example a 8x8 resize will be replaced by 4x4 resize followed by 2x2 resize
INFORMATION : Any resize ratio which is power of 2 and greater than 4 will be placed by combination of 4x4 resize layer and 2x2 resize layer
INFORMATION : Example a 8x8 resize will be replaced by 4x4 resize followed by 2x2 resize
ERROR : [TIDL_E_QUANT_STATS_NOT_AVAILABLE] tidl_quant_stats_tool.out fails to collect dynamic range. Please look into quant stats log. This model will get fault on target.
****************************************************
** 0 WARNINGS 1 ERRORS **
****************************************************

The content of the config file which I execute is:

modelType = 2
inputNetFile = "../../test/testvecs/models/public/onnx/yolov3ours/model_sim.onnx"
outputNetFile = "../../test/testvecs/config/tidl_models/onnx/tidl_net_yolo3ours.bin"
outputParamsFile = "../../test/testvecs/config/tidl_models/onnx/tidl_io_yolo3ours_"
inFileFormat = 0
inDataNorm = 1
inMean = 104
inScale = 0.017000000923
inWidth = 416
inHeight = 416
inNumChannels = 1
inData = "../../test/testvecs/config/detection_list_fir.txt"
perfSimConfig = ../../test/testvecs/config/import/device_config.cfg
inElementType = 0
outDataNamesList = "output0,output1,output2"
postProcType = 0
debugTraceLevel = 3

It is important to know that my model receives 1-channel input and as the sample image which referred to in detection_list_fir.txt.

Any support will be much appreciated.

Thanks,

Adam

0 kumar.desappan over 5 years ago in reply to Adam Wolff

TI__Mastermind 22145 points

Model calibration for quantization is failing. This could be because the model import is not complete.

You can comment below line in the import config file and check the imported model.

#inData = "../../test/testvecs/config/detection_list_fir.txt"

BTW, your image list file for calibartion looks wrong/not available

# 0Error in reading /home/adasky/ti/psdk_rtos_auto_j7_07_00_00_11/tidl_j7_01_02_00_09/ti_dl/test/testvecs/config/detection_list_fir.txt, /

0 Adam Wolff over 5 years ago in reply to kumar.desappan

Prodigy 230 points

Hi again,

Apparently the issue with the image list happened because I set inFileFormat=0 and not =2.

Now, I proceeded to that error (I paste here only the end of the log message). What can be the cause?

By the way, when I comment #inData in the config file, the same error regarding tidl_quant_stats_tool.out remains.

One more thing - there are 3 outputs to my network that are tensors and no detections.

----------------------- TIDL Process with REF_ONLY FLOW ------------------------

# 0testvecs/input/image416_8bit.bmp
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T 0.47 Error at line: 378 : in file src/tidl_tb.c, of function : tidl_tb_algProcess
Error Type: TIDL_E_INVALID_IO_LINE_PITCH
Error at line: 780 : in file src/tidl_tb.c, of function : tidlMultiInstanceTest
Error Type: TIDL_E_INVALID_IO_LINE_PITCH
Error at line: 786 : in file src/tidl_tb.c, of function : tidlMultiInstanceTest
Error Type: TIDL_E_INVALID_IO_LINE_PITCH
cd /home/adasky/ti/psdk_rtos_auto_j7_07_00_00_11/tidl_j7_01_02_00_09/ti_dl/test && ./PC_dsp_test_dl_algo.out s:/home/adasky/ti/psdk_rtos_auto_j7_07_00_00_11/tidl_j7_01_02_00_09/ti_dl/test/testvecs/config/tidl_models/onnx/tidl_import_yolo3ours.txt.qunat_stats_config.txtcp /home/adasky/ti/psdk_rtos_auto_j7_07_00_00_11/tidl_j7_01_02_00_09/ti_dl/test/testvecs/config/import/device_config.cfg /home/adasky/ti/psdk_rtos_auto_j7_07_00_00_11/tidl_j7_01_02_00_09/ti_dl/test/testvecs/config/tidl_models/onnx/tidl_import_yolo3ours.txt.perf_sim_config.txt
cd /home/adasky/ti/psdk_rtos_auto_j7_07_00_00_11/tidl_j7_01_02_00_09/ti_dl/utils/perfsim && ./ti_cnnperfsim.out /home/adasky/ti/psdk_rtos_auto_j7_07_00_00_11/tidl_j7_01_02_00_09/ti_dl/test/testvecs/config/tidl_models/onnx/tidl_import_yolo3ours.txt.perf_sim_config.txt 577 0 2

------------------ Network Compiler Traces -----------------------------
successful Memory allocation

-------------------- Network Compiler : Analysis Results are available --------------------

0 Adam Wolff over 5 years ago in reply to Adam Wolff

Prodigy 230 points

Hi Kumar,

Just wanted to remind you about my question. Did you manage to check the issue?

Thanks,

Adam

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TDA4VM: TDA4VM: Importing an ONNX model