code: def _get_projector(self, hidden):
      _, dim = hidden.shape
      projector = MLP(
          dim,
          self.output_dim,
          self.projection_num_layers,
          self.projection_hidden_size,
      )
      return projector.to(hidden)
  
imports: import copy
  import random
  from functools import wraps, partial
  import torch
  from torch import nn
  import torch.nn.functional
  from torchvision import transforms
label_desc: Use image node_id 5 for calling the NetWrapper obj's underlying member method code with example usage: obj._get_projector(hidden) and returns: projector