F:\AlexeyAB_darknet-master>darknet.exe rnn generate cfg/rnn.cfg weights/tolstoy.weights -srand 2 -seed Chapter
_DEBUG is used
CUDA-version: 11060 (11060), cuDNN: 8.5.0, GPU count: 1
OpenCV isn't used - data augmentation will be slow
rnn
0 : compute_capability = 520, cudnn_half = 0, GPU: Quadro M2000
net.optimized_memory = 0
mini_batch = 1, batch = 1, time_steps = 1, train = 0
layer filters size/strd(dil) input output
0 RNN Layer: 256 inputs, 1024 outputs
Create CUDA-stream - 0
Create cudnn-handle 0
connected 256 -> 1024
connected 1024 -> 1024
connected 1024 -> 1024
1 RNN Layer: 1024 inputs, 1024 outputs
connected 1024 -> 1024
connected 1024 -> 1024
connected 1024 -> 1024
2 RNN Layer: 1024 inputs, 1024 outputs
connected 1024 -> 1024
connected 1024 -> 1024
connected 1024 -> 1024
3 connected 1024 -> 256
4 softmax 256
5 cost 256
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