class_docstr: ### VGG model for CIFAR-10 classification
code: def forward(self, x):
      # The VGG layers
      x = self.layers(x)
      # Reshape for classification layer
      x = x.view(x.shape[0], -1)
      # Final linear layer
      return self.fc(x)
  
file_path: annotated_deep_learning_paper_implementations/labml_nn/normalization/group_norm/experiment.py
imports: import torch.nn
  from labml import experiment
  from labml.configs import option
  from labml_helpers.module import Module
  from labml_nn.experiments.cifar10 import CIFAR10Configs
  from labml_nn.normalization.group_norm import GroupNorm
label_desc: Use image node_id 2 for calling the Model obj's underlying member method code with example usage: obj.forward(x) and returns: self