code: def __repr__(self):
      return (
          f"{self.__class__.__name__}(dim={self.dim}, dim_out={self.dim_out}, time_emb_dim="
          f"{self.time_emb_dim}, groups={self.groups}, dropout_rate={self.dropout_rate})"
      )
  
imports: import math
  import kornia
  import torch
  import torch.nn.functional
  from einops import rearrange
  from torch import nn
label_desc: Use image node_id 3 for calling the ResnetBlock obj's underlying member method code with example usage: obj.__repr__() and returns: self, str, self, str, self, str, self, str, self, str, self, str