code: def forward(self, x):
      identity = x
      out = self.bn1(x)
      out = self.conv1(out)
      if self.dbs is not None:
          out = self.dbs[0](out)
      out = self.bn2(out)
      out = self.prelu(out)
      out = self.conv2(out)
      if self.dbs is not None:
          out = self.dbs[1](out)
      out = self.bn3(out)
      if self.downsample is not None:
          identity = self.downsample(x)
      out += identity
      if self.dbs is not None:
          out = self.dbs[2](out)
      return out
  
imports: import torch
  from torch import nn
  import torch.nn.functional
  import logging
label_desc: Use image node_id 2 for calling the IBasicBlock obj's underlying member method code with example usage: obj.forward(x) and returns: out