Comments (4)
I think you are right. Thanks for pointing out!
But now I am thinking about it, that bidirectional option does not make too much sense right now anyway. We'd need another linear layer to combine the two directions. Will add this soon.
from sentence-vae.
Would it be possible to set the bidirectional option to false as the default value in argparse? This took me quite some time to figure out and really, default options should work.
from sentence-vae.
parser.add_argument('-bi', '--bidirectional', action='store_true')
If --bidirectional
is not provided, it is disabled.
from sentence-vae.
Ok, it is just an artifact of how I'm running it then. Thanks for this repo btw, it is very interesting :).
from sentence-vae.
Related Issues (20)
- How to get the init hidden state of LSTM? HOT 1
- Word Dropout not working HOT 1
- Inference edge-case bug. HOT 4
- Confusion about the batch in model.py(I think batch should be the second dimension.) HOT 3
- Discrete latent variable
- maybe a bug in the train.py HOT 2
- maybe a bug in the kl_anneal_function HOT 1
- Maybe a bug in constructing hidden states. HOT 2
- Maybe a bug: data leak in decoder when bidirectional == True HOT 1
- Unable to download the dataset HOT 2
- Index Error during Inference HOT 2
- Optimiser SGD leads to KL vanishing
- Change in ELBO during training
- inference
- Pre-trained model?
- Wrong usage of Bidirectional GRU HOT 1
- imputation HOT 1
- bi-directional gru
- question on inputs to encoder and decoder
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from sentence-vae.