Gpt, Transformer, Pytorch, Multi Head Attention, Decoder.
range(num_layers) ]) self.linear = nn.Linear(d_model, vocab_size) self.softmax = nn.LogSoftmax(dim=-1) def forward(self, x): x = self.embedding(x) x = self.pos_encoder(x) for transformer_block in self.transformer_blocks: target_mask = generate_square_subsequent_mask(x.size(0)) x =