code: def rel_pos_indices(size):
      size = to_2tuple(size)
      pos = torch.stack(
          torch.meshgrid(torch.arange(size[0]), torch.arange(size[1]))
      ).flatten(1)
      rel_pos = pos[:, None, :] - pos[:, :, None]
      rel_pos[0] += size[0] - 1
      rel_pos[1] += size[1] - 1
      return rel_pos
  
file_path: pytorch-image-models/timm/layers/lambda_layer.py
imports: import torch
  from torch import nn
  import torch.nn.functional
  from .helpers import to_2tuple, make_divisible
  from .weight_init import trunc_normal_
label_desc: Use image node_id 1 for calling a global function with example usage: rel_pos_indices(size) and returns: rel_pos