I have negative and postive sequences which are divided in two group. How can I combine them to train?

Hi,

You can concatenate the two tensors and then do a random shuffle on the combined tensor.

Assuming that the torch tensor containing the positive examples is `t1`

and that of negative examples is `t2`

, you can do something like this,

`t1 = torch.cat((t1, t2), dim=0) # dim=0 assumes that your first axis is the batch axis. data = t1[torch.randperm(t1.size()[0])] # Shuffle the data`

Hope this helps,

Cheers!