code: def covert_input(data):
      x = PytorchBaseModel.to_torch(data[0]).float()
      y = PytorchBaseModel.to_torch(data[1]).float()
      return x, y
  
imports: import torch
  from torch.utils.data import TensorDataset, DataLoader
  import types
  import numpy
  import math
  import pandas
  import tempfile
  import os
  from zoo.orca.automl.model.abstract import BaseModel, ModelBuilder
  from zoo.orca.automl.metrics import Evaluator
  from zoo.orca.automl.pytorch_utils import LR_NAME, DEFAULT_LR
label_desc: Use image node_id 9 for calling the PytorchBaseModel obj's underlying member method code with example usage: obj.covert_input(data) and returns: x,  y