code: def copy_from_to(data, batch):
      for key in data.keys:
          if key not in batch.keys:
              setattr(batch, key, getattr(data, key, None))
  
imports: from typing import *
  import torch
  from torch.nn import Linear, ReLU, LeakyReLU, BatchNorm1d, Dropout
  from torch_geometric.nn import knn_interpolate, fps, radius, global_max_pool, global_mean_pool, knn
  from torch_geometric.data import Batch
  from torch_points3d.core.spatial_ops import *
  from .base_conv import BaseConvolution
  from torch_points3d.core.common_modules.base_modules import BaseModule
  from torch_points3d.core.common_modules import MLP
label_desc: Use image node_id 1 for calling a global function with example usage: copy_from_to(data, batch) without return types