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- #!/usr/bin/env python3
- # -*- coding: utf-8 -*-
- # Copyright 2019 Shigeki Karita
- # Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
- """Unility functions for Transformer."""
- import torch
- from funasr.modules.nets_utils import pad_list
- def add_sos_eos(ys_pad, sos, eos, ignore_id):
- """Add <sos> and <eos> labels.
- :param torch.Tensor ys_pad: batch of padded target sequences (B, Lmax)
- :param int sos: index of <sos>
- :param int eos: index of <eos>
- :param int ignore_id: index of padding
- :return: padded tensor (B, Lmax)
- :rtype: torch.Tensor
- :return: padded tensor (B, Lmax)
- :rtype: torch.Tensor
- """
- _sos = ys_pad.new([sos])
- _eos = ys_pad.new([eos])
- ys = [y[y != ignore_id] for y in ys_pad] # parse padded ys
- ys_in = [torch.cat([_sos, y], dim=0) for y in ys]
- ys_out = [torch.cat([y, _eos], dim=0) for y in ys]
- return pad_list(ys_in, eos), pad_list(ys_out, ignore_id)
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