tensorflow_probability/python/optimizer/differential_evolution.py
def _ensure_list(tensor_or_list):
  """Converts the input arg to a list if it is not a list already.

  Args:
    tensor_or_list: A `Tensor` or a Python list of `Tensor`s. The argument to
      convert to a list of `Tensor`s.

  Returns:
    A tuple of two elements. The first is a Python list of `Tensor`s containing
    the original arguments. The second is a boolean indicating whether
    the original argument was a list or tuple already.
  """
  if isinstance(tensor_or_list, (list, tuple)):
    return list(tensor_or_list), True
  return [tensor_or_list], False
def _ensure_list(tensor_or_list):
  if isinstance(tensor_or_list, (list, tuple)):
    return list(tensor_or_list), True
  return [tensor_or_list], False
def _ensure_list ( tensor_or_list ) : if isinstance ( tensor_or_list , ( list , tuple ) ) : return list ( tensor_or_list ) , True return [ tensor_or_list ] , False
Converts the input arg to a list if it is not a list already.

  Args:
    tensor_or_list: A `Tensor` or a Python list of `Tensor`s. The argument to
      convert to a list of `Tensor`s.

  Returns:
    A tuple of two elements. The first is a Python list of `Tensor`s containing
    the original arguments. The second is a boolean indicating whether
    the original argument was a list or tuple already.
Converts the input arg to a list if it is not a list already .