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Unable to build darknet with cudnn=1. Invalid resource handle
0 : compute_capability = 720, cudnn_half = 1, GPU: Xavier
net.optimized_memory = 0
mini_batch = 1, batch = 1, time_steps = 1, train = 1
layer filters size/strd(dil) input output
0 conv 32 3 x 3/ 1 240 x 80 x 3 -> 240 x 80 x 32 0.033 BF
1 max 2x 2/ 2 240 x 80 x 32 -> 120 x 40 x 32 0.001 BF
2 conv 64 3 x 3/ 1 120 x 40 x 32 -> 120 x 40 x 64 0.177 BF
3 max 2x 2/ 2 120 x 40 x 64 -> 60 x 20 x 64 0.000 BF
4 conv 128 3 x 3/ 1 60 x 20 x 64 -> 60 x 20 x 128 0.177 BF
5 conv 64 1 x 1/ 1 60 x 20 x 128 -> 60 x 20 x 64 0.020 BF
6 conv 128 3 x 3/ 1 60 x 20 x 64 -> 60 x 20 x 128 0.177 BF
7 max 2x 2/ 2 60 x 20 x 128 -> 30 x 10 x 128 0.000 BF
8 conv 256 3 x 3/ 1 30 x 10 x 128 -> 30 x 10 x 256 0.177 BF
9 conv 128 1 x 1/ 1 30 x 10 x 256 -> 30 x 10 x 128 0.020 BF
10 conv 256 3 x 3/ 1 30 x 10 x 128 -> 30 x 10 x 256 0.177 BF
11 conv 512 3 x 3/ 1 30 x 10 x 256 -> 30 x 10 x 512 0.708 BF
12 conv 256 3 x 3/ 1 30 x 10 x 512 -> 30 x 10 x 256 0.708 BF
13 conv 512 3 x 3/ 1 30 x 10 x 256 -> 30 x 10 x 512 0.708 BF
14 conv 80 1 x 1/ 1 30 x 10 x 512 -> 30 x 10 x 80 0.025 BF
15 detection
mask_scale: Using default '1.000000'
Total BFLOPS 3.106
avg_outputs = 137400
Allocate additional workspace_size = 10.36 MB
Warning: width=240 and height=80 in cfg-file must be divisible by 32 for default networks Yolo v1/v2/v3!!!
Try to load weights: ../Documents/data/ocr/ocr-net.weights
Loading weights from ../Documents/data/ocr/ocr-net.weights...
seen 64, trained: 640 K-images (10 Kilo-batches_64)
CUDA status Error: file: ./src/convolutional_kernels.cu : () : line: 138 : build time: Oct 15 2020 - 11:22:30
CUDA Error: invalid resource handle
Device: Xavier NX
Cuda: 10.2
Cudnn: 8.0
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