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## Motivation
I got the following error when I used GAE with an LSTM-based value network:
```
RuntimeError: Batching rule not implemented for aten::lstm.input. We could not generate a fallback.
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LSTM logsumexp has [2 added to the sum](https://github.com/awf/ADBench/blob/5020acbcd3948aab74be042a9cbaf670bb28b21c/src/cpp/shared/lstm.h#L22). Do we know why this is? The earliest occurrence I can…
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Automatic caption generation for images. CNN for feature extraction and LSTM for text.
I would like to work on this. please assign this to me.
Thank you
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Why does the SDCL architecture not consider the impact of LSTM? If we consider the energy consumption of calculating LSTM blocks, how should we design the code?
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It would not be bad if LSTM model was supported.
ruvsv updated
5 years ago
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Is it correct that there is no support for 'vanilla' RNN layers, e.g. that of torch.nn.RNN? Is the reason for this something like 'GRU or LSTM is better anyway, just use that'?
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### Issue Description
When I used SHAP to analyze the LSTM created using pytorch, I found that although the analysis results were output, a warning kept appearing during the analysis, unrecognized mo…
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I used the example to distinguish the frequency of the sine wave.
When I include peephole in Phase-LSTM, it seems the performance of Phase-LSTM is the same as LSTM. Anyone tried peephole?
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Hi, is this code implementation the paper "Pseudo‑random number generation using LSTMs" by Young‑Seob Jeong published 2020?