Comments (1)
Done.
from controlled-text-generation.
Related Issues (20)
- AttributeError: module 'msgpack._unpacker' has no attribute 'unpack' HOT 1
- A wee question HOT 4
- Input labels in train_vae.py HOT 2
- weird error when training on gpu HOT 5
- Bug in optimizer usage HOT 1
- AttributeError: module 'torch' has no attribute 'argmax' HOT 3
- Optimizing generate_soft_embed() and sample_soft_embed() HOT 1
- The accuracy of generated samples are not high, do you have any improvement suggestion?
- KL divergence HOT 1
- TypeError: multinomial() missing 1 required positional arguments: "num_samples" HOT 4
- How to handle inputs with variable length HOT 1
- when running train_discriminator.py ,occuring cudnn RNN backward can only be called in training mode HOT 5
- how to use my own data
- Is the gradient for Encoder doubled? HOT 2
- Extend Bowman's model with Hu's model
- Have you made the model work yet? HOT 1
- enc_input HOT 2
- Create a new iterator everytime?
- kl_loss HOT 1
- 'soft' embedding HOT 1
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from controlled-text-generation.