docstr: Return the tensor defined by its TT format ('factors') into its
  vectorized format.
  
  Parameters
  ----------
  factors
      TT factors
  
  Returns
  -------
  1-D array
  vectorized format of tensor defined by 'factors'
docstr_tok: ["Return","the","tensor","defined","by","its","TT","format","(","'factors","'",")","into","its","vectorized","format",".","Parameters","--","--","--","--","--","factors","TT","factors","Returns","--","--","--","-","1-D","array","vectorized","format","of","tensor","defined","by","'factors","'"]
code: def tt_to_vec(factors):
      """Return the tensor defined by its TT format ('factors') into its
      vectorized format.
  
      Parameters
      ----------
      factors
          TT factors
  
      Returns
      -------
      1-D array
      vectorized format of tensor defined by 'factors'
      """
      return ivy.reshape(ivy.TTTensor.tt_to_tensor(factors), (-1,))
  
imports: from .base import FactorizedTensor
  import ivy
  import warnings
label_desc: Use image node_id 14 for calling the TTTensor obj's underlying member method code with example usage: obj.tt_to_vec(factors) and returns: ivy