code: def _predict_pytorch(self, model, x_numpy):
      import torch
  
      x = torch.from_numpy(x_numpy).to(self.torch_device).float()
      return model(x).softmax(dim=1).detach().cpu().numpy()
  
imports: import matplotlib.pyplot
  import numpy
  from matplotlib.colors import ListedColormap
label_desc: Use image node_id 2 for calling the Plot2d obj's underlying member method code with example usage: obj._predict_pytorch(model, x_numpy) and returns: model