| | |
|---|
| | | hotwords_length = torch.Tensor(hotwords_length).to(torch.int32) |
|---|
| | | # hotwords.append('<s>') |
|---|
| | | def word_map(word): |
|---|
| | | return torch.tensor([self.vocab[i] for i in word]) |
|---|
| | | hotwords = [] |
|---|
| | | for c in word: |
|---|
| | | if c not in self.vocab.keys(): |
|---|
| | | hotwords.append(8403) |
|---|
| | | logging.warning("oov character {} found in hotword {}, replaced by <unk>".format(c, word)) |
|---|
| | | else: |
|---|
| | | hotwords.append(self.vocab[c]) |
|---|
| | | return torch.tensor(hotwords) |
|---|
| | | hotword_int = [word_map(i) for i in hotwords] |
|---|
| | | # import pdb; pdb.set_trace() |
|---|
| | | hotword_int.append(torch.tensor([1])) |
|---|
