code: def _gather_for_multidim_indexing(args: GatherArgs):
      """Implements 'multi-dimensional indexing into arrays' cases of lax.gather using tf.gather.
  
      E.g., jnp.take(op, [[0], [1]], axis=0).
      """
      # Guess the axis.
      axis = args.dnums.collapsed_slice_dims[0]
      squeezed_indices = tf.squeeze(args.start_indices, -1)
      op_shape = jax2tf._eval_shape(args.op_shape)
      start_indices = _clip((op_shape[axis],), squeezed_indices, (1,))
      return tf.gather(
          args.operand, start_indices, axis=axis, batch_dims=0
      )
  
imports: from __future__ import annotations
  import builtins
  from collections.abc import Sequence
  import dataclasses
  from functools import partial, wraps
  import math
  import string
  from typing import Any, Callable, Optional
  from jax._src import core
  from jax import lax
  from jax._src.lax import slicing
  from jax._src import dtypes
  from jax._src import util
  from jax.experimental.jax2tf import jax2tf
  import numpy
  import tensorflow
label_desc: Use image node_id 29 for calling a global function with example usage: _gather_for_multidim_indexing(args) and returns: tf