code: def get_abs_pos(abs_pos, has_cls_token, hw):
      h, w = hw
      if has_cls_token:
          abs_pos = abs_pos[:, 1:]
      xy_num = abs_pos.shape[1]
      size = int(math.sqrt(xy_num))
      assert size * size == xy_num
  
      if size != h or size != w:
          new_abs_pos = F.interpolate(
              abs_pos.reshape(1, size, size, -1).permute(0, 3, 1, 2),
              size=(h, w),
              mode="bicubic",
              align_corners=False,
          )
  
          return new_abs_pos.permute(0, 2, 3, 1)
      else:
          return abs_pos.reshape(1, h, w, -1)
  
imports: import math
  import torch
  import torch.nn
  import torch.nn.functional
  from mmcv.cnn import build_activation_layer, build_norm_layer
  from mmcv.cnn.bricks import DropPath
  from mmengine.logging import MMLogger
  from mmengine.model import BaseModule
  from mmengine.runner.checkpoint import CheckpointLoader
  from mmdet.registry import MODELS
label_desc: Use image node_id 1 for calling a global function with example usage: get_abs_pos(abs_pos, has_cls_token, hw) and returns: new_abs_pos, abs_pos