code: def forward(self, x):
      if x.ndim == 5:
          x = x.permute((0, 2, 3, 4, 1))
      if self.flatten:
          x = x.reshape(-1, x.shape[-1])
  
      return self.projection(x)
  
imports: from functools import partial
  import torch
  import torch.nn
  from detectron2.layers import ROIAlign
  import slowfast.utils.logging
  from slowfast.models.attention import MultiScaleBlock
  from slowfast.models.batchnorm_helper import NaiveSyncBatchNorm1d
  from slowfast.models.nonlocal_helper import Nonlocal
label_desc: Use image node_id 2 for calling the MLPHead obj's underlying member method code with example usage: obj.forward(x) and returns: self