def METHOD_NAME(**kwargs):
    defaults = dict(
        in_channels=1,
        out_channels=1,
        kernel_size=3,
        layers=6,
        stacks=3,
        residual_channels=8,
        gate_channels=16,
        skip_channels=8,
        aux_channels=10,
        aux_context_window=0,
        use_weight_norm=True,
        upsample_conditional_features=True,
        upsample_net="ConvInUpsampleNetwork",
        upsample_params={"upsample_scales": [4, 4]},
    )
    defaults.update(kwargs)
    return defaults