code: def forward(self, x):
      bsz = x.size(0)
      out = relu(self.bn1(self.conv1(x.view(bsz, 3, 32, 32))))
      out = self.layer1(out)
      out = self.layer2(out)
      out = self.layer3(out)
      out = self.layer4(out)
      out = avg_pool2d(out, 4)
      out = out.view(out.size(0), -1)
      out = self.linear(out)
      return out
  
imports: import torch.nn
  from torch.nn.functional import relu, avg_pool2d
  from avalanche.models import MultiHeadClassifier, MultiTaskModule, DynamicModule
label_desc: Use image node_id 3 for calling the ResNet obj's underlying member method code with example usage: obj.forward(x) and returns: out