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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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If you want to report a bug - provide:
The text was updated successfully, but these errors were encountered: