Transformers, Pytorch, Machine Learning, Deep Dives, Data Science.
self.positional_encoding = PositionalEncoding( d_model=n_dim, dropout=dropout ) self.decoder_blocks = nn.ModuleList([ DecoderBlock(n_dim, dropout, n_heads) for _ in range(n_decoder_blocks) ]) def forward(self, tgt, memory, tgt_mask=None, tgt_padding_mask=None, memory_padding_mask=None): x =