Hi guys,
I’m stuck, I really need your help.
I am trying to run this step:
rnn(X, self.hidden)
self.hidden size is [self.n_layers, self.batch_size, self.n_neurons], which is 1x100x15 in my case
X.shape is (100,16) initially, where 100 is batch size and 16 is number of features
To make it work I transform X with X = X.unsqueeze(dim=0) , so that I have shape of X now - (1,100,16).
First question-is it right thing to do? It works, but I don’t understand why…
The second question is that I want to make number of layers equal to 2,
so self.hidden size is now [2x100x15], but how should I transform X?
It gives me error now:
RuntimeError: Expected hidden size (1, 100, 15), got (2, 100, 15)
Thank you very uch in advance!!!