CUDA Error: no kernel image is available for execution on the device

Hi there,
I am brand new with Neural Network and when I tried to input a test video into a Computer, this is what I got:
nvidia@nvidia-desktop:~$ "/home/nvidia/test.sh"
ci: Using default 'data/ci.txt'
coord: Using default 'data/coord.txt'
Polaris Object Detection
layer filters size input output
0 conv 32 3 x 3 / 1 480 x 352 x 3 -> 480 x 352 x 32 0.292 BFLOPs
1 max 2 x 2 / 2 480 x 352 x 32 -> 240 x 176 x 32
2 conv 64 3 x 3 / 1 240 x 176 x 32 -> 240 x 176 x 64 1.557 BFLOPs
3 max 2 x 2 / 2 240 x 176 x 64 -> 120 x 88 x 64
4 conv 128 3 x 3 / 1 120 x 88 x 64 -> 120 x 88 x 128 1.557 BFLOPs
5 conv 64 1 x 1 / 1 120 x 88 x 128 -> 120 x 88 x 64 0.173 BFLOPs
6 conv 128 3 x 3 / 1 120 x 88 x 64 -> 120 x 88 x 128 1.557 BFLOPs
7 max 2 x 2 / 2 120 x 88 x 128 -> 60 x 44 x 128
8 conv 256 3 x 3 / 1 60 x 44 x 128 -> 60 x 44 x 256 1.557 BFLOPs
9 conv 128 1 x 1 / 1 60 x 44 x 256 -> 60 x 44 x 128 0.173 BFLOPs
10 conv 256 3 x 3 / 1 60 x 44 x 128 -> 60 x 44 x 256 1.557 BFLOPs
11 max 2 x 2 / 2 60 x 44 x 256 -> 30 x 22 x 256
12 conv 512 3 x 3 / 1 30 x 22 x 256 -> 30 x 22 x 512 1.557 BFLOPs
13 conv 256 1 x 1 / 1 30 x 22 x 512 -> 30 x 22 x 256 0.173 BFLOPs
14 conv 512 3 x 3 / 1 30 x 22 x 256 -> 30 x 22 x 512 1.557 BFLOPs
15 conv 256 1 x 1 / 1 30 x 22 x 512 -> 30 x 22 x 256 0.173 BFLOPs
16 conv 512 3 x 3 / 1 30 x 22 x 256 -> 30 x 22 x 512 1.557 BFLOPs
17 max 2 x 2 / 2 30 x 22 x 512 -> 15 x 11 x 512
18 conv 1024 3 x 3 / 1 15 x 11 x 512 -> 15 x 11 x1024 1.557 BFLOPs
19 conv 512 1 x 1 / 1 15 x 11 x1024 -> 15 x 11 x 512 0.173 BFLOPs
20 conv 1024 3 x 3 / 1 15 x 11 x 512 -> 15 x 11 x1024 1.557 BFLOPs
21 conv 512 1 x 1 / 1 15 x 11 x1024 -> 15 x 11 x 512 0.173 BFLOPs
22 conv 1024 3 x 3 / 1 15 x 11 x 512 -> 15 x 11 x1024 1.557 BFLOPs
23 conv 1024 3 x 3 / 1 15 x 11 x1024 -> 15 x 11 x1024 3.114 BFLOPs
24 conv 1024 3 x 3 / 1 15 x 11 x1024 -> 15 x 11 x1024 3.114 BFLOPs
25 route 16
26 conv 64 1 x 1 / 1 30 x 22 x 512 -> 30 x 22 x 64 0.043 BFLOPs
27 reorg / 2 30 x 22 x 64 -> 15 x 11 x 256
28 route 27 24
29 conv 1024 3 x 3 / 1 15 x 11 x1280 -> 15 x 11 x1024 3.893 BFLOPs
30 conv 35 1 x 1 / 1 15 x 11 x1024 -> 15 x 11 x 35 0.012 BFLOPs
31 detection
mask_scale: Using default '1.000000'
CUDA Error: no kernel image is available for execution on the device
polarisnnet: ./src/cuda.c:36: check_error: Assertion `0' failed.
/home/nvidia/test.sh: line 4: 4502 Aborted (core dumped) ./polarisnnet detector line data/test/t.data data/test/t.cfg data/test/t.weights data/test/t.mp4
Do you guys know what happened?

Reproduce the reported command, ./polarisnnet detector line data/test/t.data data/test/t.cfg data/test/t.weights data/test/t.mp4, and inspect ./src/cuda.c:36 where the assertion is reported. Done means identifying the device/build compatibility cause of the kernel-image error and showing the detector command completing without that assertion.

Written by the indexing model from the issue text.