I think I just have some very fundamental knowledge gaps when it comes to what RNNs inputs have to look like during training time, specifically for this single time series case I’m looking at now. I feel like blog posts or articles about RNNs usually focus on the inputs during prediction time. When they talk about training time its mostly straight to BPTT, which I guess one could infer the training data’s shape from but somehow I haven’t been able to do that. I’ll just keep trying, thanks for your help and sorry that it didn’t amount to more yet lol