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deprecation of genericLSTM about clstm HOT 10 CLOSED

tmbdev avatar tmbdev commented on July 20, 2024
deprecation of genericLSTM

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tmbdev avatar tmbdev commented on July 20, 2024

I've run a lot of benchmarks that have shown that (1) peephole optimizations don't help (and usually hurt), and (2) any other choice of non-linearity other than the default one performs considerably worse.

I'll publish that as an Arxiv tech report soon.

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BestSonny avatar BestSonny commented on July 20, 2024

Is the arxiv link of your tech report available now?

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tmbdev avatar tmbdev commented on July 20, 2024

I got publication clearance, but it's not quite out yet. I'll try to push it in the next few days.

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BestSonny avatar BestSonny commented on July 20, 2024

Thank you! Have you ever try to push a GPU version of LSTM since the community seems to have more interests in the RNN field?

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tmbdev avatar tmbdev commented on July 20, 2024

I'm planning on GPU support via Eigen; however, that will still be a few months before the necessary dependencies are out.

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amitdo avatar amitdo commented on July 20, 2024

@BestSonny, here it is:

Benchmarking of LSTM Networks
Thomas M. Breuel

http://arxiv.org/abs/1508.02774

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BestSonny avatar BestSonny commented on July 20, 2024

Thank you!

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futurely avatar futurely commented on July 20, 2024

@tmbdev , mshadow may be a strong alternative to Eigen. Both cxxnet and mxnet are built upon it.

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tmbdev avatar tmbdev commented on July 20, 2024

Thanks. Looks like Eigen and mshadow have similar goals. Is there any performance data comparing the two?

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futurely avatar futurely commented on July 20, 2024

@tmbdev , mshadow has very detailed tutorials and other documentations including multi-GPU support while Eigen documents almost nothing related to GPU on its official website.

More importantly, mshadow exploits the powerful NVIDIA cuDNN library. It's impossible for Eigen to catch up mshadow in performance on GPUs.

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