I am also using the second approach. However, I have a confusion: as batch samples and timesteps are squashed, won’t it have any problem in rnn sequential learning? i.e when the sequence is reshaped again to (timesteps, samples/batch, output_size), will it retain the sequential (timesteps) features ordering for each sample/batch as it was before squashing?