Gpt, Transformer, Pytorch, Multi Head Attention, Decoder.
x): x = x + self.pe[:x.size(0), :] return self.dropout(x) We need to mask our input for decoders to prevent attention to future positions. def generate_square_subsequent_mask(sz): """Generate a mask to prevent attention to future positions.""" mask = (torch.triu(torch.ones(sz, sz)) ==