Review for NeurIPS paper: Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes

The authors say that they use as an encoder a convCNP. Looking at the psudo-code in algorithm 1 in the appendix, it is unclear to me if the convCNP is actually run all the way and given some discretize grid as targets, or are the discretization at the level of t_i used? I would assume the latter but this is not stated in the text. If it's the former I don't understand why line 6 and 7 (in algorithm 1) are needed in the encoder. Same goes for the pseudo-code in the appendix.