code: def forward(self, x):
      x = self.pool(F.relu(self.conv1(x)))
      x = self.pool(F.relu(self.conv2(x)))
      x = x.view(-1, 16 * 5 * 5)
      x = F.relu(self.fc1(x))
      x = F.relu(self.fc2(x))
      x = self.fc3(x)
      return x
  
file_path: clearml/examples/frameworks/openmmlab/openmmlab_cifar10.py
imports: import torch
  import torch.nn
  import torch.nn.functional
  import torch.optim
  import torchvision.transforms
  from mmcv.parallel import MMDataParallel
  from mmcv.runner import EpochBasedRunner
  from mmcv.utils import get_logger
  from torch.utils.data import DataLoader
  from torchvision.datasets import CIFAR10
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: x