code: def forward(self, x: Tensor) -> Tensor:
      return self.backbone(x)
  
imports: import copy
  from typing import List, Tuple
  import torch
  from pytorch_lightning import LightningModule
  from torch import Tensor
  from torch.nn import Identity
  from torchvision.models import resnet50
  from lightly.loss.tico_loss import TiCoLoss
  from lightly.models.modules.heads import TiCoProjectionHead
  from lightly.models.utils import deactivate_requires_grad, get_weight_decay_parameters, update_momentum
  from lightly.transforms import BYOLTransform
  from lightly.utils.benchmarking import OnlineLinearClassifier
  from lightly.utils.lars import LARS
  from lightly.utils.scheduler import CosineWarmupScheduler, cosine_schedule
label_desc: Use image node_id 2 for calling the TiCo obj's underlying member method code with example usage: obj.forward(x) and returns: self