code: def forward(self, inputs, targets):
      predicted = self.__layer(inputs)[:, 0]  # B
      loss = self.__loss(input=predicted, target=targets)
      return loss
  
imports: import numpy
  import torch
  from torch import nn
  from typing import Any, Dict, Iterator, NamedTuple, Optional, Union
  from ptgnn.baseneuralmodel import AbstractNeuralModel, ModuleWithMetrics
  from ptgnn.baseneuralmodel.utils.data import enforce_not_None
  from ptgnn.tests.simplemodel.data import SampleDatapoint
label_desc: Use image node_id 2 for calling the SimpleRegressionNetwork obj's underlying member method code with example usage: obj.forward(inputs, targets) and returns: loss