Hello everyone,

I am now dealing with string classification, and I want to use LSTM, but I have some questions about setting time_step. My data set looks like:

```
Data ----- Label
DKWL----0
FCHN----0
KDQP----0
IHGS----1
....
```

then I convert it into binary code:

```
00011101000001000111-----1
.....
shape:(N,20)
```

Now I build LSTM:

```
class RNN(nn.Module):
def __init__(self):
super(RNN, self).__init__()
self.rnn = nn.LSTM(
input_size=20, # Each sample has 20 features
hidden_size=64,
num_layers=1,
batch_first=True,
)
self.out = nn.Linear(64, 2) # I set output 2, because there are two classes 0 & 1
def forward(self, x):
r_out, (h_n, h_c) = self.rnn(x, None)
out = self.out(r_out[:, -1, :])
return out
```

Then I try to train it with following codes:

```
for epoch in range(EPOCH):
for step, (x, b_y) in enumerate(train_loader): # gives batch data
b_x = x.view(-1, ?, 20) # at this step I need to reshape x to
# (batch, time_step, input_size), but how I set this
# time_step? 0 or 1?
output = rnn(b_x)
loss = loss_func(output, b_y)
optimizer.zero_grad()
loss.backward()
optimizer.step()
```

Thanks in advance.