Comments (3)
I'm not sure, but the problem seems to be in the method Split Cluster.
from rnnsharp.
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.
from rnnsharp.
Great!
Thanks for the support.
from rnnsharp.
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
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- Is there a way to further reduce file size of the model without affecting network size?
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from rnnsharp.