funasr/models/encoder/rnn_encoder.py
@@ -5,7 +5,6 @@ import numpy as np import torch from typeguard import check_argument_types from funasr.modules.nets_utils import make_pad_mask from funasr.modules.rnn.encoders import RNN @@ -37,7 +36,6 @@ dropout: float = 0.0, subsample: Optional[Sequence[int]] = (2, 2, 1, 1), ): assert check_argument_types() super().__init__() self._output_size = output_size self.rnn_type = rnn_type
