d2l.Seq2SeqEncoder(vocab_size=10, embed_size=8, num_hiddens=16, 2 num_layers=2)

[achaosss]

---

TypeError Traceback (most recent call last)
Cell In[21], line 4
1 encoder = d2l.Seq2SeqEncoder(vocab_size=10, embed_size=8, num_hiddens=16,
2 num_layers=2)
3 encoder.eval()
----> 4 decoder = Seq2SeqAttentionDecoder(vocab_size=10, embed_size=8, num_hiddens=16,
5 num_layers=2)
6 decoder.eval()
7 X = torch.zeros((4, 7), dtype=torch.long) # (batch_size,num_steps)

Cell In[20], line 5
2 def init(self, vocab_size, embed_size, num_hiddens, num_layers,
3 dropout=0, **kwargs):
4 super(Seq2SeqAttentionDecoder, self).init(**kwargs)
----> 5 self.attention = d2l.AdditiveAttention(
6 num_hiddens, num_hiddens, num_hiddens, dropout)
7 self.embedding = nn.Embedding(vocab_size, embed_size)
8 self.rnn = nn.GRU(
9 embed_size + num_hiddens, num_hiddens, num_layers,
10 dropout=dropout)

TypeError: init() takes 3 positional arguments but 5 were given

[achaosss]

d2l-zh\pytorch\chapter_attention-mechanisms\bahdanau-attention.ipynb

[achaosss]

d2l==0.17.2
or
d2l==1.0+
not work