code: def __init__(
      self,
      model,
      X,
      Y,
      valiation_data=(None, None),
      h=0.02,
      margin=0.25,
      device="cpu",
  ):
      super().__init__()
  
      self.model = model
      self.X = X
      self.Y = Y
      self.X_test, self.Y_test = valiation_data
  
      # add size assertions
  
      self.cm_bg = plt.cm.RdBu
      self.cm_points = ListedColormap(["#FF0000", "#0000FF"])
  
      x_min = X[:, 0].min() - margin
      x_max = X[:, 0].max() + margin
  
      y_min = X[:, 1].min() - margin
      y_max = X[:, 1].max() + margin
  
      self.xx, self.yy = np.meshgrid(
          np.arange(x_min, x_max, h), np.arange(y_min, y_max, h)
      )
  
      self.torch_device = device
  
imports: import matplotlib.pyplot
  import numpy
  from matplotlib.colors import ListedColormap
label_desc: Use image node_id 1 to create a new Plot2d object from inherited base classes: BaseSubplot with example: obj = Plot2d(model, X, Y, valiation_data, h, margin, device)