code: def forward(self, x: torch.Tensor) -> torch.Tensor:
      x = nn.ReLU()(self.dense1(x))
      return self.dense2(x)
  
imports: import numpy
  import pytest
  import tensorflow
  from tensorflow.keras.layers import Dense
  import torch
  import torch.nn
  from alibi_detect.cd import SpotTheDiffDrift
  from alibi_detect.cd.pytorch.spot_the_diff import SpotTheDiffDriftTorch
  from alibi_detect.cd.tensorflow.spot_the_diff import SpotTheDiffDriftTF
label_desc: Use image node_id 2 for calling the MyKernelTorch obj's underlying member method code with example usage: obj.forward(x) and returns: self