Below is the LSTM layer i used for LSTM CNN

But i will have trouble calculating the loss due mistmach in target and input size.

Am i missing any step here

```
class lstm(nn.Module):
def __init__(self,bs,num, lstm1_input=1024,lstm_hidden=512):
super().__init__()
self.batch=bs
self.num=num
self.lstm = nn.LSTM(1024, 512 ,2,batch_first=True)# input elements,hidden state size
#self.linear=nn.Linear(512,1)
self.drop=nn.Dropout(0.5)
def forward(self,input):
print(input.size()) #see below
x=input.view(self.batch,self.num,input.size(1))
x,y=self.lstm(x)
print(x.size()) #see below
x = x[:,-1,:]
print(x.size()) #see below
x=self.drop(x)
return x
```

torch.Size([192,1024])

torch.Size([16, 12, 512])

torch.Size([16, 512])