YOLO v3 crashed on Nvidia Jetson Xavier NX

Robotics & Edge Computing Jetson & Embedded Systems Jetson Xavier NX
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1

Using :-

  • jetpack 4.5.1
  • CUDA: 10.2.89
  • cuDNN: 8.0.0
  • OpenCV: 4.5.0
  • Python: 3.6.9
  • TensorRT: 7.1.3

while Executing uselib that processes a video file (57_11Dec_Mix.mp4) using a specified configuration file and weights file on video - 57_11Dec_Mix.mp4

Error:-

Used GPU 0
0 : compute_capability = 720, cudnn_half = 1, GPU: Xavier
net.optimized_memory = 0
mini_batch = 1, batch = 8, time_steps = 1, train = 0
layer filters size/strd(dil) input output
0 Create CUDA-stream - 0
Create cudnn-handle 0
conv 16 3 x 3/ 1 416 x 416 x 3 → 416 x 416 x 16 0.150 BF
1 max 2x 2/ 2 416 x 416 x 16 → 208 x 208 x 16 0.003 BF
2 conv 32 3 x 3/ 1 208 x 208 x 16 → 208 x 208 x 32 0.399 BF
3 max 2x 2/ 2 208 x 208 x 32 → 104 x 104 x 32 0.001 BF
4 conv 64 3 x 3/ 1 104 x 104 x 32 → 104 x 104 x 64 0.399 BF
5 max 2x 2/ 2 104 x 104 x 64 → 52 x 52 x 64 0.001 BF
6 conv 128 3 x 3/ 1 52 x 52 x 64 → 52 x 52 x 128 0.399 BF
7 max 2x 2/ 2 52 x 52 x 128 → 26 x 26 x 128 0.000 BF
8 conv 256 3 x 3/ 1 26 x 26 x 128 → 26 x 26 x 256 0.399 BF
9 max 2x 2/ 2 26 x 26 x 256 → 13 x 13 x 256 0.000 BF
10 conv 512 3 x 3/ 1 13 x 13 x 256 → 13 x 13 x 512 0.399 BF
11 max 2x 2/ 1 13 x 13 x 512 → 13 x 13 x 512 0.000 BF
12 conv 1024 3 x 3/ 1 13 x 13 x 512 → 13 x 13 x1024 1.595 BF
13 conv 256 1 x 1/ 1 13 x 13 x1024 → 13 x 13 x 256 0.089 BF
14 conv 512 3 x 3/ 1 13 x 13 x 256 → 13 x 13 x 512 0.399 BF
15 conv 36 1 x 1/ 1 13 x 13 x 512 → 13 x 13 x 36 0.006 BF
16 yolo
[yolo] params: iou loss: mse (2), iou_norm: 0.75, obj_norm: 1.00, cls_norm: 1.00, delta_norm: 1.00, scale_x_y: 1.00
17 route 13 → 13 x 13 x 256
18 conv 128 1 x 1/ 1 13 x 13 x 256 → 13 x 13 x 128 0.011 BF
19 upsample 2x 13 x 13 x 128 → 26 x 26 x 128
20 route 19 8 → 26 x 26 x 384
21 conv 256 3 x 3/ 1 26 x 26 x 384 → 26 x 26 x 256 1.196 BF
22 conv 36 1 x 1/ 1 26 x 26 x 256 → 26 x 26 x 36 0.012 BF
23 yolo
[yolo] params: iou loss: mse (2), iou_norm: 0.75, obj_norm: 1.00, cls_norm: 1.00, delta_norm: 1.00, scale_x_y: 1.00
Total BFLOPS 5.457
avg_outputs = 326113
Allocate additional workspace_size = 38.79 MB
Loading weights from weights/jorhat_Dec_final.weights…
seen 64, trained: 872 K-images (13 Kilo-batches_64)
Done! Loaded 24 layers from weights-file

try to allocate additional workspace_size = 38.79 MB
CUDA allocate done!
terminate called without an active exception
Aborted (core dumped)

Attaching the make file as well.
Makefile.txt (6.3 KB)

3

Hi,

Do you meet errors when running a third-party app (yolo?)?
If yes, have you checked with the library owner about the issue?

Thanks.

5

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