docstr: ivy.Array instance method variant of ivy.svd_flip. This method
  simply wraps the function, and so the docstring for ivy.svd_flip also
  applies to this method with minimal changes.
  
  Parameters
  ----------
  self
      left singular matrix output of SVD
  V
      right singular matrix output of SVD
  u_based_decision
      If True, use the columns of u as the basis for sign flipping.
      Otherwise, use the rows of v. The choice of which variable to base the
      decision on is generally algorithm dependent.
  
  Returns
  -------
  u_adjusted, v_adjusted : arrays with the same dimensions as the input.
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code: def svd_flip(
      self: Union[ivy.Array, ivy.NativeArray],
      V: Union[ivy.Array, ivy.NativeArray],
      /,
      u_based_decision: Optional[bool] = True,
  ) -> Tuple[ivy.Array, ivy.Array]:
      """ivy.Array instance method variant of ivy.svd_flip. This method
      simply wraps the function, and so the docstring for ivy.svd_flip also
      applies to this method with minimal changes.
  
      Parameters
      ----------
      self
          left singular matrix output of SVD
      V
          right singular matrix output of SVD
      u_based_decision
          If True, use the columns of u as the basis for sign flipping.
          Otherwise, use the rows of v. The choice of which variable to base the
          decision on is generally algorithm dependent.
  
      Returns
      -------
      u_adjusted, v_adjusted : arrays with the same dimensions as the input.
      """
      return ivy.svd_flip(self._data, V, u_based_decision)
  
imports: import abc
  from typing import Optional, Union, Tuple, List, Sequence, Literal
  import ivy
label_desc: Use image node_id 12 for calling the _ArrayWithLinearAlgebraExperimental obj's underlying member method code with example usage: obj.svd_flip(u_based_decision) and returns: ivy