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rnn can't generate text #8919

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zzk2021 opened this issue Aug 23, 2024 · 0 comments
Open

rnn can't generate text #8919

zzk2021 opened this issue Aug 23, 2024 · 0 comments

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@zzk2021
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zzk2021 commented Aug 23, 2024

If you want to report a bug - provide:

  • description of a bug
  • what command do you use? darknet.exe rnn generate cfg/rnn.cfg weights/tolstoy.weights -srand 2 -seed Chapter
  • do you use Win/Linux/Mac? Win
  • attach screenshot of a bug with previous messages in terminal

image
image

  • in what cases a bug occurs, and in which not? awalys occurs
  • if possible, specify date/commit of Darknet that works without this bug
  • show such screenshot with info
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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