funasr/models/e2e_diar_sond.py
@@ -12,7 +12,6 @@ import numpy as np import torch from torch.nn import functional as F from typeguard import check_argument_types from funasr.modules.nets_utils import to_device from funasr.modules.nets_utils import make_pad_mask @@ -66,7 +65,6 @@ inter_score_loss_weight: float = 0.0, inputs_type: str = "raw", ): assert check_argument_types() super().__init__()