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=<function priml.model.init.kaiming_uniform at 0xdefacedeface>,
                                init_bias=<function torch.nn.init.zeros_ at 0xdefacedeface>,
                                shard=None
                        ),
                        Linear.Config(
                                channels_in=4,
                                channels_out=4,
                                bias=False,
                                depth_index=((1, 2),),
                                device=None,
                                dtype=None,
                                init_weight=<function priml.model.init.kaiming_uniform at 0xdefacedeface>,
                                init_bias=<function torch.nn.init.zeros_ at 0xdefacedeface>,
                                shard=None
                        )
                ],
                repeat=1,
                depth_index=()
        )
