code: def forward(self, x):
      out = self.relu1(self.bn1(x))
      if not self.in_out_equal:
          x = self.conv_shortcut(out)
      out = self.relu2(self.bn2(self.conv1(out)))
      if self.drop_rate > 0:
          out = F.dropout(out, p=self.drop_rate, training=self.training)
      out = self.conv2(out)
      out += x
      return out
  
imports: import math
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 2 for calling the BasicBlock obj's underlying member method code with example usage: obj.forward(x) and returns: out