warp.bvh\_query\_next\_tiled
============================

.. function:: warp._src.lang.bvh_query_next_tiled(query: BvhQueryTiled) -> Tile[int32, tuple[int]]

   .. hlist::
      :columns: 8

      * Kernel

   Move to the next bound in a thread-block parallel BVH query and return results as a tile.
   
   Each thread in the block receives one result index in the returned tile, or -1 if no result for that thread.
   The function returns a register tile of shape ``(block_dim,)`` containing the result indices,
   where ``block_dim`` is the kernel's block dimension. All threads in the block must call this
   function cooperatively.
   
   Call it in a loop guarded by :func:`tile_query_valid` (which returns ``False`` once the query
   is exhausted); within an iteration, check whether any tile element is >= 0 to see if this step
   produced any results.
   
   :param query: The thread-block BVH query object, from :func:`bvh_query_aabb_tiled` or :func:`bvh_query_ray_tiled`
   
   :returns:
   
             A register tile of shape ``(block_dim,)`` with dtype int, where each element contains
                 the result index for that thread (-1 if no result)
   
   .. rubric:: Example
   
   .. testcode::
   
       @wp.kernel
       def tiled_query(bvh_id: wp.uint64, lowers: wp.array[wp.vec3], uppers: wp.array[wp.vec3],
                       lo: wp.vec3, hi: wp.vec3, centers: wp.array[wp.vec3]):
           query = wp.bvh_query_aabb_tiled(bvh_id, lo, hi)
           while wp.tile_query_valid(query):
               result = wp.bvh_query_next_tiled(query)
               item = wp.untile(result)
               if item >= 0:
                   centers[item] = 0.5 * (lowers[item] + uppers[item])
   
       lowers = wp.array([[0, 0, 0], [2, 0, 0], [4, 0, 0]], dtype=wp.vec3)
       uppers = wp.array([[1, 1, 1], [3, 1, 1], [5, 1, 1]], dtype=wp.vec3)
       bvh = wp.Bvh(lowers=lowers, uppers=uppers)
   
       centers = wp.zeros(3, dtype=wp.vec3)
       wp.launch_tiled(tiled_query, dim=[1], inputs=[bvh.id, lowers, uppers, wp.vec3(0.5, 0.5, 0.5), wp.vec3(4.5, 0.5, 0.5)], outputs=[centers], block_dim=32)
       print(centers.numpy().tolist())
   
   .. testoutput::
   
       [[0.5, 0.5, 0.5], [2.5, 0.5, 0.5], [4.5, 0.5, 0.5]]