Wrong Decoder RNN Architecture

[Ar-Kareem]

In the decoder an LSTM is used

https://github.com/alexis-jacq/Pytorch-Sketch-RNN/blob/5c3e21375dfe7695c1c37a0acccf6da17c049f77/sketch_rnn.py#L151-L157

While in the original paper, the description of the architecture at page 6 states that

For the decoder RNN, we use HyperLSTM, as this type of RNN cell excels at sequence generation tasks

Referring to a very different implementation of an LSTM that can generate different weights for itself for every element in a sequence. The model is defined in this paper as well as implementation details defined in the Appendix Sections 2.2 and 2.3