Created
August 26, 2020 05:20
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| def greeedy_decode_sentence(model,sentence): | |
| model.eval() | |
| sentence = SRC.preprocess(sentence) | |
| indexed = [] | |
| for tok in sentence: | |
| if SRC.vocab.stoi[tok] != 0 : | |
| indexed.append(SRC.vocab.stoi[tok]) | |
| else: | |
| indexed.append(0) | |
| sentence = Variable(torch.LongTensor([indexed])).cuda() | |
| trg_init_tok = TGT.vocab.stoi[BOS_WORD] | |
| trg = torch.LongTensor([[trg_init_tok]]).cuda() | |
| translated_sentence = "" | |
| maxlen = 25 | |
| for i in range(maxlen): | |
| size = trg.size(0) | |
| np_mask = torch.triu(torch.ones(size, size)==1).transpose(0,1) | |
| np_mask = np_mask.float().masked_fill(np_mask == 0, float('-inf')).masked_fill(np_mask == 1, float(0.0)) | |
| np_mask = np_mask.cuda() | |
| pred = model(sentence.transpose(0,1), trg, tgt_mask = np_mask) | |
| add_word = TGT.vocab.itos[pred.argmax(dim=2)[-1]] | |
| translated_sentence+=" "+add_word | |
| if add_word==EOS_WORD: | |
| break | |
| trg = torch.cat((trg,torch.LongTensor([[pred.argmax(dim=2)[-1]]]).cuda())) | |
| #print(trg) | |
| return translated_sentence |
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