code: def convert_to_input(data):
      n, m = data.shape
      inp = torch.from_numpy(data).view(1, n, m)
      inp = inp.transpose(0, 1).float()
  
      return inp
  
imports: import pickle
  import numpy
  import torch
  import torch.nn
  import torch.optim
  from torch.autograd import Variable
  from torch.nn.utils import weight_norm
  from bigdl.chronos.model.tcmf.data_loader import TCMFDataLoader
  from bigdl.chronos.model.tcmf.time import TimeCovariates
  import logging
label_desc: Use image node_id 5 for calling the LocalModel obj's underlying member method code with example usage: obj.convert_to_input(data) and returns: inp