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minor updates related to the tokenizer change
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@ -218,8 +218,7 @@ def main():
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params.update(vars(args))
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tokenizer = Tokenizer(params.tokens)
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params.blank_id = tokenizer.blank_id
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params.oov_id = tokenizer.oov_id
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params.blank_id = tokenizer.pad_id
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params.vocab_size = tokenizer.vocab_size
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logging.info(params)
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@ -130,14 +130,16 @@ def infer_dataset(
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batch_size = len(batch["tokens"])
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tokens = batch["tokens"]
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tokens = tokenizer.tokens_to_token_ids(tokens)
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tokens = tokenizer.tokens_to_token_ids(
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tokens, intersperse_blank=True, add_sos=True, add_eos=True
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)
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tokens = k2.RaggedTensor(tokens)
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row_splits = tokens.shape.row_splits(1)
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tokens_lens = row_splits[1:] - row_splits[:-1]
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tokens = tokens.to(device)
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tokens_lens = tokens_lens.to(device)
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# tensor of shape (B, T)
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tokens = tokens.pad(mode="constant", padding_value=tokenizer.blank_id)
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tokens = tokens.pad(mode="constant", padding_value=tokenizer.pad_id)
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audio = batch["audio"]
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audio_lens = batch["audio_lens"].tolist()
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@ -201,8 +203,7 @@ def main():
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device = torch.device("cuda", 0)
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tokenizer = Tokenizer(params.tokens)
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params.blank_id = tokenizer.blank_id
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params.oov_id = tokenizer.oov_id
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params.blank_id = tokenizer.pad_id
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params.vocab_size = tokenizer.vocab_size
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logging.info(f"Device: {device}")
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@ -108,7 +108,9 @@ def main():
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model = OnnxModel(args.model_filename)
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text = "I went there to see the land, the people and how their system works, end quote."
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tokens = tokenizer.texts_to_token_ids([text])
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tokens = tokenizer.texts_to_token_ids(
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[text], intersperse_blank=True, add_sos=True, add_eos=True
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)
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tokens = torch.tensor(tokens) # (1, T)
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tokens_lens = torch.tensor([tokens.shape[1]], dtype=torch.int64) # (1, T)
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audio = model(tokens, tokens_lens) # (1, T')
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