Comments (3)
bill3code
commented on September 6, 2024
I'm not sure, but the problem seems to be in the method Split Cluster.
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zhongkaifu
commented on September 6, 2024
Hi,
Yes, this is a bug in AdvUtils.dll. The values of data may be not balanced, so we call SplitCluster so deep, and then stack is overflow.
I have checked-in some new RNNSharp code, and disable model vector quantization by default, so far, this problem has been mitigated, and I will fix this problem in AdvUtils project.
I suggest you to use the latest RNNSharp or its demo package, since I have done lots of performance optimization for encoding, especially for LSTM. Your training will be much faster than before.
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bill3code
commented on September 6, 2024
Great!
Thanks for the support.
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Related Issues (20)
- Impact of run-time feature HOT 4
- LSTM RNN HOT 2
- Plan to Use LSTM for Time Series HOT 1
- Need Help With PRETRAIN_TYPE=Autoencoder HOT 2
- Null reference exception with ForwardRNN HOT 3
- Incremental training HOT 3
- imncremental training NullReferenceException after last update HOT 2
- Training takes too long!! HOT 20
- Using the library from .Net Core HOT 3
- maybe it's time to support CUDA ! HOT 2
- AdvUtils.dll Issue HOT 3
- puzzled about function : logsumexp HOT 1
- A question regarding usage or RNNSharp for a particular problem
- NullReferenceException in DropoutLayer
- System Total Fail due to double-Number conversion problems for non "es-US" Cultures
- A few questions regarding how to exploit RNNSharp
- Is there a way to further reduce file size of the model without affecting network size?
- Time Complexity
- RNNSharp Pseudo code
- About inference time
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