code: def forward(self, net: Tensor) -> Tensor:
      return self.net(net)
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  from torch import Tensor
  from typing import Any
  from typing import Optional
  from torch.nn import Module
  from cftool.misc import shallow_copy_dict
  from .basic import conv_nd
  from .basic import get_conv_blocks
  from ..utils import avg_pool_nd
  from ..utils import zero_module
  from ..utils import Residual
  from ..hijacks import HijackConv2d
  from ..hijacks import HijackLinear
  from ....misc.toolkit import safe_clip_
  from ....misc.toolkit import gradient_checkpoint
label_desc: Use image node_id 2 for calling the ResidualBlockV2 obj's underlying member method code with example usage: obj.forward(net) and returns: self