Transformers, Pytorch, Machine Learning, Deep Dives, Data Science.
after Putting the pieces together, we end up with this for the Decoder : class DecoderBlock(nn.Module): def __init__(self, n_dim: int, dropout: float, n_heads: int): super(DecoderBlock, self).__init__() # The first Multi-Head Attention has a mask to avoid looking at the future self.self_attention =