code: def forward(self, x, batch):
      return super().forward(x, x, batch)
  
imports: import torch
  from torch_geometric.nn import global_max_pool, global_mean_pool
  from torch_points3d.core.common_modules.base_modules import *
  from torch_points3d.core.common_modules.spatial_transform import BaseLinearTransformSTNkD
  from torch_points3d.models.base_model import BaseInternalLossModule
label_desc: Use image node_id 2 for calling the PointNetSTNkD obj's underlying member method code with example usage: obj.forward(x, batch) and returns: super