def METHOD_NAME(tensor: torch.Tensor, dim: int):
    tensor = tensor.clone()
    world_size = 2
    order = torch.arange(world_size * 3)
    new_order = []
    for i in range(world_size):
        new_order.append(order[i::world_size])
    new_order = torch.cat(new_order)
    tensor_chunks = torch.chunk(tensor, world_size * 3, dim=dim)
    rearanged_tensor_chunks = [tensor_chunks[i] for i in new_order]
    rearanged_tensor = torch.cat(rearanged_tensor_chunks, dim=dim)
    return rearanged_tensor