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**Describe the bug**
This is related to the #1499 , the GRUCell is not implemented and the GRU version is also not optimized on MPS compare to pytorch and tensorflow variant.
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### 🚀 The feature, motivation and pitch
I have a python code segment related to a deep RL algorithm where it calculates the second order optimization and second derivative with Hessian matrix and f…
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```python
import torch
class Model(torch.nn.Module):
def __init__(self, n):
super().__init__()
self.n = n
self.conv = torch.nn.Conv2d(3, 3, 3)
def forward(self, …
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There is no compatible torch version ! PyTorch == 0.3.1 is not available. I need the RNN part and other third party implementations does not have RNN.
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http://preview.d2l.ai.s3-website-us-west-2.amazonaws.com/d2l-en/master/chapter_recurrent-neural-networks/rnn-scratch.html
On the same machine,
TF runs for about 9mins,
MX/PT runs for between 3 …
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See "Grid Long Short-Term Memory" by Kalchbrenner, Danihelka and Graves: http://arxiv.org/abs/1507.01526
This seems like a very exciting extension of RNNs / LSTM networks!
There currently are two …
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What method do you think would be best for noising the LSTM?
End of Noisy Network paper seems to suggest that randomization technique from "Bayesian recurrent neural networks" https://arxiv.org/abs/1…
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Frontend functions need to be added for the following torch._VF functions:
- `torch._VF.rnn_tanh`
- `torch._VF.rnn_relu`
- `torch._VF.gru`
- `torch._VF.rnn_tanh_cell`
- `torch._VF.rnn_relu_cell…
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Hi @jcjohnson,
So I work on the [Element-Research/rnn](https://github.com/Element-Research/rnn) package. I have a couple of questions:
1. why did you chose to build your own LSTM/RNN implementations…
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## Description
Currently, we have two implementations of RNN layers on the CPU backend, which are
+ Native fusion implementation,
+ The fusion enabled by DNNL library (https://intel.github.io/mkl…