# How does stateful LSTM work with keras' batch_size > 1?

Let's say I have one input feature with 10 sequences of length 25 to predict the next value. So keras will receive an input vector of (10, 25, 1). If I use LSTM models with stateful=True the cell states will be remembered in between batches.

However, if I have multiple sequences in each batch, is the training equivalent to having stateful=False and a single batch of length 10?