code: def predict(self, inputs: torch.Tensor, **kwargs):
      predicted = self.__layer(inputs)[:, 0]  # B
      return predicted >= 0
  
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 3 for calling the SimpleRegressionNetwork obj's underlying member method code with example usage: obj.predict(inputs) and returns: unknown