code: def get_constants(self, x):
      constants = []
      constants.append(
          [torch.tensor(1.0).to(self.device) for _ in range(6)]
      )
      constants.append(
          [torch.tensor(1.0).to(self.device) for _ in range(7)]
      )
      array = np.array(
          [float(ii) / self.freq_dim for ii in range(self.freq_dim)]
      )
      constants.append(torch.tensor(array).to(self.device))
  
      self.states[5:] = constants
  
imports: from __future__ import division
  from __future__ import print_function
  import numpy
  import pandas
  from typing import Text, Union
  import copy
  from ...utils import get_or_create_path
  from ...log import get_module_logger
  import torch
  import torch.nn
  import torch.nn.init
  import torch.optim
  from .pytorch_utils import count_parameters
  from ...model.base import Model
  from ...data.dataset import DatasetH
  from ...data.dataset.handler import DataHandlerLP
label_desc: Use image node_id 4 for calling the SFM_Model obj's underlying member method code with example usage: obj.get_constants(x) without return types