(response)

(size, opt)

(self, d_model, eps = 1e-6)

(self, vocab_size, d_model, N, heads, dropout)

(opt)

(module, N)

(opt, src_vocab, trg_vocab)

(model, opt)

(self, d_model, heads, dropout=0.1)

(self, vocab_size, d_model)

(q, k, v, d_k, mask=None, dropout=None)

(src, model, SRC, TRG, opt)

(opt, SRC, TRG)

(src, trg, opt)

(train)

(word, SRC)

(src, model, SRC, TRG, opt)

(outputs, out, log_scores, i, k)

()

()

(dict, text)

(model, opt, SRC, TRG)

(opt)

(opt, model, SRC, TRG)

(sentence, model, opt, SRC, TRG)

(self, d_model, heads, dropout=0.1)

(self, optimizer: torch.optim.Optimizer, T_max: int, eta_mi

(self, heads, d_model, dropout = 0.1)

(self, d_model, d_ff=2048, dropout = 0.1)

(self, d_model, max_seq_len = 200, dropout = 0.1)

(self, lang)

(self, vocab_size, d_model, N, heads, dropout)

(self, src_vocab, trg_vocab, d_model, N, heads, dropout)

(self)

(self, x, mask)

(self, x, e_outputs, src_mask, trg_mask)

(self, x)

(self, q, k, v, mask=None)

(self, x)

(self, x)

(self, x)

(self, src, mask)

(self, trg, e_outputs, src_mask, trg_mask)

(self, src, trg, src_mask, trg_mask)

(d, random_shuffler)

(self, sentence)