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If you have a question or would like help and support, please ask at our
[forums](https://discuss.pytorch.org/).
If you are submitting a feature request, please preface the title with [feature req…
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While working on PR https://github.com/pytorch/pytorch/pull/43068, I found a method on `LSTM` which breaks the Liskov substitution principle. The class `LSTM` inherits from `RNNBase` and redefines a m…
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Hello, I would really like the functionality to use a different activation function on the output of the RNNs. I have found ReLU more useful in classification models because, for instance, tanh output…
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## 🐛 Bug
When using DataParallel on a model with LSTMs the losses obtained compared to the same model run on a single GPU are different.
## To Reproduce
Here is a sample code block that seed…
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Hi
Since I don't have access to GPU, I can't execute your code, but there is another code in the github that implements your model with the keras Library . Are you confirming the following code and c…
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## 🐞Describe the bug
- Numerical difference in output of bidirectional LSTM from pytorch
- Don't know if it's a converter issue or not
## Trace
No
## To Reproduce
- Adapted LSTM test case fr…
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hi,
running ./run-tests gave me this, how can I fix this?
```
test-lstm.cc:81:3: error: use of undeclared identifier 'unlink'
unlink("__test0__.clstm");
^
test-lstm.cc:114:3: error: use of undecl…
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Create a simple predictor of the stock prices using an LSTM.
1. Select a previously created dataset from #6.
2. Use that dataset to train your LSTM by taking a certain section of it as your traini…
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**Describe the bug**
In the scripts rl_baselines/rl_algorithm/sac.py, deepq.py, ddpg.py:
def customArguments(self, parser):
## forget to add: super().customArguments(parser)
**C…
ncble updated
5 years ago
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I tried to run the lstm_fedma_with_comm.py file to reproduce the paper results. But I got file not found error for the following files:
lstm_matching_assignments, lstm_matching_shapes and matched_glo…