code: def trace(
      x: Union[tf.Tensor, tf.Variable],
      /,
      *,
      offset: int = 0,
      axis1: int = 0,
      axis2: int = 1,
      out: Optional[Union[tf.Tensor, tf.Variable]] = None,
  ) -> Union[tf.Tensor, tf.Variable]:
      if not isinstance(x, tf.Variable):
          if len(x) == 0:
              return ivy.array([])
      return tf.experimental.numpy.trace(
          x, offset=offset, axis1=axis1, axis2=axis2
      )
  
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 23 for calling a global function with example usage: trace() and returns: tf, ivy