code: def forward(self, x):
      x = self.layer_0(x)
      x = self.layer_0a(x)
      x = self.layer_1(x)
      x = self.layer_1a(x)
      x = self.layer_2(x)
      x = self.layer_2a(x)
      x = self.layer_end(x)
      return x
  
imports: import operator
  import torch
  import torch.nn.functional
  from lightning.pytorch import LightningModule
  from lightning_utilities.core.imports import compare_version
  from torch import nn
  from torchmetrics import Accuracy, MeanSquaredError
label_desc: Use image node_id 2 for calling the RegressionModel obj's underlying member method code with example usage: obj.forward(x) and returns: x