code: def convert_covariates(data, covs):
      nd, td = data.shape
      rcovs = np.repeat(
          covs.reshape(1, covs.shape[0], covs.shape[1]),
          repeats=nd,
          axis=0,
      )
      rcovs = torch.from_numpy(rcovs).float()
      return rcovs
  
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 zoo.chronos.model.tcmf.data_loader import TCMFDataLoader
  from zoo.chronos.model.tcmf.time import TimeCovariates
  import logging
label_desc: Use image node_id 6 for calling the LocalModel obj's underlying member method code with example usage: obj.convert_covariates(data, covs) and returns: rcovs