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kongdeqiang

2026-03-13 28ccfbfc51068a663a80764e14074df5edf2b5ba

 funasr/models/transformer/positionwise_feed_forward.py

@@ -34,25 +34,15 @@
        return self.w_2(self.dropout(self.activation(self.w_1(x))))


class PositionwiseFeedForwardDecoderSANM(torch.nn.Module):
    """Positionwise feed forward layer.

    Args:
        idim (int): Input dimenstion.
        hidden_units (int): The number of hidden units.
        dropout_rate (float): Dropout rate.

    """

    def __init__(self, idim, hidden_units, dropout_rate, adim=None, activation=torch.nn.ReLU()):
        """Construct an PositionwiseFeedForward object."""
        super(PositionwiseFeedForwardDecoderSANM, self).__init__()
        self.w_1 = torch.nn.Linear(idim, hidden_units)
        self.w_2 = torch.nn.Linear(hidden_units, idim if adim is None else adim, bias=False)
        self.dropout = torch.nn.Dropout(dropout_rate)
        self.activation = activation
        self.norm = LayerNorm(hidden_units)
class PositionwiseFeedForwardDecoderSANMExport(torch.nn.Module):
    def __init__(self, model):
        super().__init__()
        self.w_1 = model.w_1
        self.w_2 = model.w_2
        self.activation = model.activation
        self.norm = model.norm

    def forward(self, x):
        """Forward function."""
        return self.w_2(self.norm(self.dropout(self.activation(self.w_1(x)))))
        x = self.activation(self.w_1(x))
        x = self.w_2(self.norm(x))
        return x