Transformers, Pytorch, Machine Learning, Deep Dives, Data Science.
self.norm3(ff_output) return output class Decoder(nn.Module): def __init__( self, vocab_size: int, n_dim: int, dropout: float, n_decoder_blocks: int, n_heads: int): super(Decoder, self).__init__() self.embedding = nn.Embedding( num_embeddings=vocab_size, embedding_dim=n_dim, padding_idx=0 )