code: def pinv(
      x: Union[tf.Tensor, tf.Variable],
      /,
      *,
      rtol: Optional[Union[float, Tuple[float]]] = None,
      out: Optional[Union[tf.Tensor, tf.Variable]] = None,
  ) -> Union[tf.Tensor, tf.Variable]:
      if rtol is None:
          ret = tf.linalg.pinv(x)
      else:
          x, rtol = ivy.promote_types_of_inputs(x, rtol)
          ret = tf.linalg.pinv(x, rtol)
      return ret
  
imports: from typing import Union, Optional, Tuple, Literal, List, NamedTuple, Sequence
  from collections import namedtuple
  import tensorflow
  from tensorflow.python.framework.dtypes import DType
  import ivy
  from ivy import inf
  from ivy.func_wrapper import with_unsupported_dtypes, with_supported_dtypes
  from .None import backend_version
label_desc: Use image node_id 16 for calling a global function with example usage: pinv() and returns: ret