code: def __init__(self, dim_in, dim_out, fn):
      super().__init__()
      self.fn = fn
  
      need_projection = dim_in != dim_out
      self.project_in = (
          nn.Linear(dim_in, dim_out)
          if need_projection
          else nn.Identity()
      )
      self.project_out = (
          nn.Linear(dim_out, dim_in)
          if need_projection
          else nn.Identity()
      )
  
imports: import torch
  from torch import nn, einsum
  import torch.nn.functional
  from einops import rearrange, repeat
  from einops.layers.torch import Rearrange
label_desc: Use image node_id 1 to create a new ProjectInOut object from inherited base classes: nn with example: obj = ProjectInOut(dim_in, dim_out, fn)