code: def call(self, x: tf.Tensor, y: tf.Tensor) -> tf.Tensor:
      return tf.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 MyKernelTF obj's underlying member method code with example usage: obj.call(x, y) and returns: tf