code: def to_torch(inp):
      if isinstance(inp, np.ndarray):
          return torch.from_numpy(inp)
      if isinstance(inp, (pd.DataFrame, pd.Series)):
          return torch.from_numpy(inp.values)
      return inp
  
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 8 for calling the PytorchBaseModel obj's underlying member method code with example usage: obj.to_torch(inp) and returns: inp, torch, torch