Method __init__

tokenizer.py:105–126

(
        self, 
        in_channels, 
        out_channels, 
        kernel_size, 
        stride=1, 
        dilation=1, 
        groups=1,
        bias=True
    )

class CausalConv1d(NonCausalConv1d):
    def __init__(
        self, 
        in_channels, 
        out_channels, 
        kernel_size, 
        stride=1, 
        dilation=1, 
        groups=1,
        bias=True
    ):
        super(CausalConv1d, self).__init__(
            in_channels=in_channels, 
            out_channels=out_channels, 
            kernel_size=kernel_size, 
            stride=stride, 
            padding=0,
            dilation=dilation, 
            groups=groups,
            bias=bias,
        )
        self.stride = stride
        self.pad_length = (kernel_size - 1) * dilation
    def forward(self, x):
        pad = nn.ConstantPad1d((self.pad_length, 0), 0.0)
        x = pad(x)