I trained my recurrent model with a specific batch size but during the evaluation on the test set, I had the problem of the incomplete batch. For instance my bs=10 but I have 259 samples. Note that dropping the last is not viable to me as it is time-series data.  Any suggestion for a solution without affecting the performance? Or is there a way to vary the batch and the keep the model working?