code: def __init__(self, n_features: int):
      super().__init__()
      self.dense = nn.Linear(n_features, 20)
  
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 1 to create a new MyKernelTorch object from inherited base classes: nn with example: obj = MyKernelTorch(n_features)