code: def forward(self, data: Data) -> Data:
      data.x = torch.x[torch.randperm(data.x.size(0))]
      return data
  
imports: import argparse
  import torch
  import torch.nn.functional
  from torch import Tensor
  from torch_geometric.data import Data, InMemoryDataset
  from torch_geometric.loader import DataLoader
  from torch_geometric.nn import LCMAggregation
  from torch_geometric.transforms import BaseTransform
label_desc: Use image node_id 1 for calling the RandomPermutation obj's underlying member method code with example usage: obj.forward(data) and returns: data