code: def redraw_projections(self):
      if not self.model.training or self.redraw_interval is None:
          return
      if self.num_last_redraw >= self.redraw_interval:
          fast_attentions = [
              module
              for module in self.model.modules()
              if isinstance(module, PerformerAttention)
          ]
          for fast_attention in fast_attentions:
              fast_attention.redraw_projection_matrix()
          self.num_last_redraw = 0
          return
      self.num_last_redraw += 1
  
file_path: pytorch_geometric/examples/graph_gps.py
imports: import argparse
  import os.path
  from typing import Any, Dict, Optional
  import torch
  from torch.nn import BatchNorm1d, Embedding, Linear, ModuleList, ReLU, Sequential
  from torch.optim.lr_scheduler import ReduceLROnPlateau
  import torch_geometric.transforms
  from torch_geometric.datasets import ZINC
  from torch_geometric.loader import DataLoader
  from torch_geometric.nn import GINEConv, GPSConv, global_add_pool
  from torch_geometric.nn.attention import PerformerAttention
label_desc: Use image node_id 2 for calling the RedrawProjection obj's underlying member method code with example usage: obj.redraw_projections() without return types