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pjreddie / darknet

Convolutional Neural Networks
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windows 10 rtx2080ti gpu build test CIFAR #2229

Open jaiminlee opened 4 years ago

jaiminlee commented 4 years ago

cuda_convert_f32_to_f16() : line: 138 error

What is it?

D:\YOLOv4\darknet-master\build\darknet\x64\data\cifar>darknet classifier train cifar.data cifarsmall.cfg CUDA-version: 10010 (11000), cuDNN: 7.6.2, CUDNN_HALF=1, GPU count: 1 CUDNN_HALF=1 OpenCV version: 4.3.0 cifarsmall 1 0 : compute_capability = 750, cudnn_half = 1, GPU: GeForce RTX 2080 SUPER net.optimized_memory = 0 mini_batch = 128, batch = 128, time_steps = 1, train = 1 layer filters size/strd(dil) input output 0 conv 32 3 x 3/ 1 28 x 28 x 3 -> 28 x 28 x 32 0.001 BF 1 max 2x 2/ 2 28 x 28 x 32 -> 14 x 14 x 32 0.000 BF 2 conv 16 1 x 1/ 1 14 x 14 x 32 -> 14 x 14 x 16 0.000 BF 3 conv 64 3 x 3/ 1 14 x 14 x 16 -> 14 x 14 x 64 0.004 BF 4 max 2x 2/ 2 14 x 14 x 64 -> 7 x 7 x 64 0.000 BF 5 conv 32 1 x 1/ 1 7 x 7 x 64 -> 7 x 7 x 32 0.000 BF 6 conv 128 3 x 3/ 1 7 x 7 x 32 -> 7 x 7 x 128 0.004 BF 7 conv 64 1 x 1/ 1 7 x 7 x 128 -> 7 x 7 x 64 0.001 BF 8 conv 10 1 x 1/ 1 7 x 7 x 64 -> 7 x 7 x 10 0.000 BF 9 avg 7 x 7 x 10 -> 10 10 softmax 10 Total BFLOPS 0.010 avg_outputs = 6165 Allocate additional workspace_size = 30.02 MB Learning Rate: 0.1, Momentum: 0.9, Decay: 0.0005 50000 If error occurs - run training with flag: -dont_show Create 32 permanent cpu-threads Loaded: 0.554000 seconds CUDA status Error: file: D:/YOLOv4/darknet-master_GPU/src/convolutional_kernels.cu : cuda_convert_f32_to_f16() : line: 138 : build time: Jul 16 2020 - 14:00:25

CUDA Error: invalid device function

NEHA2963 commented 4 years ago

I have the same issue, is there any fix?