I have Nvidia Jetpack 4.5.1 installed on my Jetson Xavier NX dev kit. It has CUDA 10.2, CUDNN 8.0. If I build the CPU version, I can run the demo. However, if I build the GPU version (GPU=1, CUDNN=0), it crashed when loading the weights as shown below. How can I fix it?
nvidia@XavierNx:~/apps/darknet$ ./darknet detect cfg/yolov3.cfg yolov3.weights data/dog.jpg
layer filters size input output
0 1 2 3 4 res 1 304 x 304 x 64 -> 304 x 304 x 64
5 6 7 8 res 5 152 x 152 x 128 -> 152 x 152 x 128
9 10 11 res 8 152 x 152 x 128 -> 152 x 152 x 128
12 13 14 15 res 12 76 x 76 x 256 -> 76 x 76 x 256
16 17 18 res 15 76 x 76 x 256 -> 76 x 76 x 256
19 20 21 res 18 76 x 76 x 256 -> 76 x 76 x 256
22 23 24 res 21 76 x 76 x 256 -> 76 x 76 x 256
25 26 27 res 24 76 x 76 x 256 -> 76 x 76 x 256
28 29 30 res 27 76 x 76 x 256 -> 76 x 76 x 256
31 32 33 res 30 76 x 76 x 256 -> 76 x 76 x 256
34 35 36 res 33 76 x 76 x 256 -> 76 x 76 x 256
37 38 39 40 res 37 38 x 38 x 512 -> 38 x 38 x 512
41 42 43 res 40 38 x 38 x 512 -> 38 x 38 x 512
44 45 46 res 43 38 x 38 x 512 -> 38 x 38 x 512
47 48 49 res 46 38 x 38 x 512 -> 38 x 38 x 512
50 51 52 res 49 38 x 38 x 512 -> 38 x 38 x 512
53 54 55 res 52 38 x 38 x 512 -> 38 x 38 x 512
56 57 58 res 55 38 x 38 x 512 -> 38 x 38 x 512
59 60 61 res 58 38 x 38 x 512 -> 38 x 38 x 512
62 63 64 65 res 62 19 x 19 x1024 -> 19 x 19 x1024
66 67 68 res 65 19 x 19 x1024 -> 19 x 19 x1024
69 70 71 res 68 19 x 19 x1024 -> 19 x 19 x1024
72 73 74 res 71 19 x 19 x1024 -> 19 x 19 x1024
75 76 77 78 79 80 81 82 yolo
83 route 79
84 85 upsample 2x 19 x 19 x 256 -> 38 x 38 x 256
86 route 85 61
87 88 Killed
Hi:
I have Nvidia Jetpack 4.5.1 installed on my Jetson Xavier NX dev kit. It has CUDA 10.2, CUDNN 8.0. If I build the CPU version, I can run the demo. However, if I build the GPU version (GPU=1, CUDNN=0), it crashed when loading the weights as shown below. How can I fix it?
nvidia@XavierNx:~/apps/darknet$ ./darknet detect cfg/yolov3.cfg yolov3.weights data/dog.jpg layer filters size input output 0 1 2 3 4 res 1 304 x 304 x 64 -> 304 x 304 x 64 5 6 7 8 res 5 152 x 152 x 128 -> 152 x 152 x 128 9 10 11 res 8 152 x 152 x 128 -> 152 x 152 x 128 12 13 14 15 res 12 76 x 76 x 256 -> 76 x 76 x 256 16 17 18 res 15 76 x 76 x 256 -> 76 x 76 x 256 19 20 21 res 18 76 x 76 x 256 -> 76 x 76 x 256 22 23 24 res 21 76 x 76 x 256 -> 76 x 76 x 256 25 26 27 res 24 76 x 76 x 256 -> 76 x 76 x 256 28 29 30 res 27 76 x 76 x 256 -> 76 x 76 x 256 31 32 33 res 30 76 x 76 x 256 -> 76 x 76 x 256 34 35 36 res 33 76 x 76 x 256 -> 76 x 76 x 256 37 38 39 40 res 37 38 x 38 x 512 -> 38 x 38 x 512 41 42 43 res 40 38 x 38 x 512 -> 38 x 38 x 512 44 45 46 res 43 38 x 38 x 512 -> 38 x 38 x 512 47 48 49 res 46 38 x 38 x 512 -> 38 x 38 x 512 50 51 52 res 49 38 x 38 x 512 -> 38 x 38 x 512 53 54 55 res 52 38 x 38 x 512 -> 38 x 38 x 512 56 57 58 res 55 38 x 38 x 512 -> 38 x 38 x 512 59 60 61 res 58 38 x 38 x 512 -> 38 x 38 x 512 62 63 64 65 res 62 19 x 19 x1024 -> 19 x 19 x1024 66 67 68 res 65 19 x 19 x1024 -> 19 x 19 x1024 69 70 71 res 68 19 x 19 x1024 -> 19 x 19 x1024 72 73 74 res 71 19 x 19 x1024 -> 19 x 19 x1024 75 76 77 78 79 80 81 82 yolo 83 route 79 84 85 upsample 2x 19 x 19 x 256 -> 38 x 38 x 256 86 route 85 61 87 88 Killed