code: def __init__(self, dim, kernel_size=3):
      super().__init__()
      self.proj = Residual(
          nn.Conv2d(
              dim,
              dim,
              kernel_size=kernel_size,
              padding=kernel_size // 2,
              groups=dim,
              stride=1,
          )
      )
  
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 PEG object from inherited base classes: nn with example: obj = PEG(dim, kernel_size)