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Hello,
I got stuck halfway through in the nmt_with_attention Colab:
```
---------------------------------------------------------------------------
ValueError Tr…
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Hi, I carefully followed the tutorial of the post-editing task.
Although the tutorial has not been updated yet, I have succeeded until the learning step through your help.
However, I faced another…
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Some ideas for figures to add to the PPT
- [ ] Linear regression, single-layer neural network
- [ ] Multilayer Perceptron with hidden layer
- [ ] Backpropagation
- [ ] Batch Normalization and al…
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I have an encoder-decoder model. After converted encoder and decoder model into jit models, I want to load encoder on GPU:0 and the encoder outputs **Keys** and **Value**. Then I move the **Keys** an…
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I want to continue training a multitrack vae model. I am using the unconditioned model "model_fb256.ckpt" found on
https://colab.research.google.com/notebooks/magenta/music_vae/multitrack.ipynb
Whe…
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I used attention here.
```
def decoding_layer(dec_input,encoder_outputs, encoder_state,source_sequence_length,
target_sequence_length, max_target_sequence_length,
…
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I was trying to run tacotron gst on a single GPU, but it hangs, after outputting "Successfully opened dynamic library libcublas.so.10.0" nothing happens.
I am running the project on google colabora…
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**When i Run the command in the shell of Windows 10** :
```shell
$ python -m nmt.py \
> --src=vi --tgt=en \
> --vocab_prefix=tmp/nmt_data/vocab \
> --train_prefix=tmp/nmt_data/tran…
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In the batch translation example, encoder is:
```
class EncoderRNN(nn.Module):
def __init__(self, input_size, hidden_size, n_layers=1, dropout=0.1):
super(EncoderRNN, self).__init__()
…
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As DA-RNN is basically a encoder-decoder network, how would you do multi step prediction in the decoder phase?