code: def forward(self, x):
      conv_x, trans_x = torch.split(
          self.conv1_1(x), (self.conv_dim, self.trans_dim), dim=1
      )
      conv_x = self.conv_block(conv_x) + conv_x
      trans_x = Rearrange("b c h w -> b h w c")(trans_x)
      trans_x = self.trans_block(trans_x)
      trans_x = Rearrange("b h w c -> b c h w")(trans_x)
      res = self.conv1_2(torch.cat((conv_x, trans_x), dim=1))
      x = x + res
  
      return x
  
imports: import numpy
  import torch
  import torch.nn
  from einops import rearrange
  from einops.layers.torch import Rearrange
  from timm.models.layers import trunc_normal_, DropPath
label_desc: Use image node_id 2 for calling the ConvTransBlock obj's underlying member method code with example usage: obj.forward(x) and returns: x