Method __init__

tokenizer.py:200–222

(
        self, 
        in_channels, 
        out_channels, 
        kernel_size=7,
        dilation=1,
        bias=False,
    )

class CausalResUnit(NonCausalResUnit):
    def __init__(
        self, 
        in_channels, 
        out_channels, 
        kernel_size=7,
        dilation=1,
        bias=False,
    ):
        super(CausalResUnit, self).__init__(
            in_channels=in_channels, 
            out_channels=out_channels, 
            kernel_size=kernel_size, 
            dilation=dilation, 
            bias=bias,
        )
        self.conv1 = CausalConv1d(
            in_channels=in_channels,
            out_channels=out_channels,
            kernel_size=kernel_size,
            stride=1,
            dilation=dilation,
            bias=bias,
        )
    
    def inference(self, x):
        y = self.conv1.inference(self.activation(x))