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Hi! While it is relatively straightforward to implement higher level constructions like LSTM and GRU it's also nice to have a layer provided by the library like [PyTorch](https://github.com/pytorch/py…
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This is feedback from when trying to implement gru/lstm on CoreML driven by https://github.com/webmachinelearning/webnn/issues/689.
The biases and weights are stacked together for forward and backwa…
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Hi,
are there any plans to add cuDNN-accelerated versions of LSTM and GRU to the PyTorch backend? Without cuDNN acceleration, the LSTM and GRU are considerably (several times) slower, even when run…
foxik updated
3 months ago
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Hi everyone,
let's suppose I have a bidirectional LSTM encoder which is manually batched, let's also assume that my input sentences may have different lengths and thus I need to add PAD vectors fo…
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Sarcasm Detection
:red_circle: **Aim**: various deep learning models for detecting sarcasm in text dat…
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I run into InvalidArgumentError when my notebook gets to the GRU section.
```
InvalidArgumentError (see above for traceback): No OpKernel was registered to support Op 'CudnnRNN' with these attrs. R…
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### 🚀 The feature, motivation and pitch
I attempted to construct a small-scale natural language processing model using torch.nn.GRU(num_layers=N, bidirectional=True). During training, the loss cons…
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Is there a way to train a bidirectional RNN (like LSTM or GRU) on trax nowadays?
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Hi,
I was able to train the joint model successfully. Then I wanted to train the cpg and dna model separately and the joint model on top. Training cpg and dna model worked fine, but I started havin…
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Hi team. thanks for great work.
I'm currently trying to construct seq2seq model with Bahdanau style, featured by bidirectional encoder - decoder using GRU cell.
This repository, however, doesn't see…