In PyTorch, we can define architectures in multiple ways. Here, I'd like to create a simple LSTM network using the `Sequential` module.

In Lua's torch I would usually go with:

```
model = nn.Sequential()
model:add(nn.SplitTable(1,2))
model:add(nn.Sequencer(nn.LSTM(inputSize, hiddenSize)))
model:add(nn.SelectTable(-1)) -- last step of output sequence
model:add(nn.Linear(hiddenSize, classes_n))

```

However, in PyTorch, I don't find the equivalent of `SelectTable` to get the last output.

```
nn.Sequential(
  nn.LSTM(inputSize, hiddenSize, 1, batch_first=True),
  # what to put here to retrieve last output of LSTM ?,
  nn.Linear(hiddenSize, classe_n))

```