Sequential.Config(
        channels_in=4,
        channels_out=4,
        elements=[
            Linear.Config(
                channels_in=4,
                channels_out=4,
                bias=False,
                depth_index=((0, 2),),
                device=None,
                dtype=None,
                init_weight=priml.model.init.kaiming_uniform,
                init_bias=torch.nn.init.zeros_,
                linear_fn=<built-in function linear>,
                shard=None
            ),
            Linear.Config(
                channels_in=4,
                channels_out=4,
                bias=False,
                depth_index=((1, 2),),
                device=None,
                dtype=None,
                init_weight=priml.model.init.kaiming_uniform,
                init_bias=torch.nn.init.zeros_,
                linear_fn=<built-in function linear>,
                shard=None
            )
        ],
        repeat=1,
        depth_index=()
    )
