code: def __init__(self, dim_in, dim_out, kernel, bias=False):
      super().__init__()
      self.conv = DepthWiseConv2d(
          dim_in, dim_out, kernel, padding=kernel // 2, bias=False
      )
      self.cls_proj = (
          nn.Linear(dim_in, dim_out)
          if dim_in != dim_out
          else nn.Identity()
      )
  
imports: from math import sqrt, pi, log
  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 SpatialConv object from inherited base classes: nn with example: obj = SpatialConv(dim_in, dim_out, kernel, bias)