phet1999

Hi @khairulislam, I have the same problem with this bro and I don't know how to utilize this code for multi-inputs. For example, if I have four different inputs for...

Hi @khairulislam, thank you for your replying, but problems still exist. Here is the code, I first define a new forward function. ''' def forward(self, x_extra_future: torch.Tensor, *args ) ->...

Hi, @khairulislam. I am sorry for bothering and I tried another method that sets ``` model.input1 = torch.Tensor(train_X_hist[:20]).to(device) model.input2= torch.Tensor(train_X_ex_hist[:20]).to(device) model.input3 = torch.Tensor(train_X_static[:20]).to(device) ``` and inside forward function, it acts...