code: def forward(self, x: Tensor) -> Tensor:
      return self.backbone(x)
  
imports: import math
  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.ntx_ent_loss import NTXentLoss
  from lightly.models.modules import SimCLRProjectionHead
  from lightly.models.utils import get_weight_decay_parameters
  from lightly.transforms import SimCLRTransform
  from lightly.utils.benchmarking import OnlineLinearClassifier
  from lightly.utils.lars import LARS
  from lightly.utils.scheduler import CosineWarmupScheduler
label_desc: Use image node_id 2 for calling the SimCLR obj's underlying member method code with example usage: obj.forward(x) and returns: self