code: def forward(self, x: torch.Tensor, y: torch.Tensor) -> torch.Tensor:
      return torch.einsum("ji,ki->jk", self.dense(x), self.dense(y))
  
imports: import numpy
  import pytest
  import tensorflow
  from tensorflow.keras.layers import Dense
  import torch
  import torch.nn
  from alibi_detect.cd import LearnedKernelDrift
  from alibi_detect.cd.pytorch.learned_kernel import LearnedKernelDriftTorch
  from alibi_detect.cd.tensorflow.learned_kernel import LearnedKernelDriftTF
  from alibi_detect.utils.frameworks import has_keops
label_desc: Use image node_id 2 for calling the MyKernelTorch obj's underlying member method code with example usage: obj.forward(x, y) and returns: torch