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Hi Tflearn Team,
how to get weighs from bidirectional_rnn layer, which has cells inside?
......
BiRNN1 = tflearn.bidirectional_rnn(net, GRUCell(64), GRUCell(64), return_seq=True)
......
print model.…
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While I try to make #6 happen, I find many issues that I am not capable/willing to address. I will maintain a checklist of what needs to be done here. Btw. you would not believe how much code that cle…
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I'm trying to do "data parallelism" following the cifar-10 multi gpu example. Main difference is that I am using tensorflow's rnn abstractions. When I run the code ( [mgf.tar.gz](https://github.com/te…
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[clock gating .pdf](https://github.com/prashish14/Tensorflow-for-Heterogeneous-Computing/files/591022/clock.gating.pdf)
[layout.pdf](https://github.com/prashish14/Tensorflow-for-Heterogeneous-Computi…
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Relevant test:
https://github.com/hughperkins/tensorflow-cl/blob/dcdb5a64385c72aafa19e5fb9e16e64ec42ad751/tensorflow/stream_executor/cl/test/test_misc.py#L158-L180
```
def test_split():
sh…
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Hi TFlearn,
I am encoutered into an error, when using bidirectinal gru:
```
net = tflearn.bidirectional_rnn(net, GRUCell(300), GRUCell(300), return_seq=False)
```
File "/tflearn/layers/recurrent.…
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I would like to help implement a RNN symbol (perhaps sym.RNN) which uses the cuDNN RNN implementation. This issue should be a place for everyone working on this to discuss and decide on various design…
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I tried to use the monitor functionality from the [latest build of tensorflow](http://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_CONTAINER_TYPE=CPU,TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_…
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The text transformations [currently return generators](https://github.com/tensorflow/skflow/blob/7a7bbcc8b47f54384a43494ac78083de9e3915e4/skflow/preprocessing/text.py#L181), but the sklearn [doc page …
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So, what should i do if i want to implement a Bidirectional GRU encoder with attention?
I have done like:
`self.bidir = BidirectionalWrap(GatedRecurrent(activation=Tanh(), dim=state_dim))
sel…