code: def _gather_generate_indices(shape: tuple[int, ...]):
      """
      Returns the indices of the according to `shape`:
        each element in the output is the index of an element of an array
        of the provided shape. The result's shape is (math.prod(shape), len(shape))
  
      For example, given shape (2,2) it returns (0,0),(0,1),(1,0),(1,1)
      """
      return tf.reshape(
          tf.stack(
              tf.meshgrid(
                  *[tf.range(start=0, limit=x) for x in shape],
                  indexing="ij",
              ),
              axis=-1,
          ),
          (-1, len(shape)),
      )
  
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 33 for calling a global function with example usage: _gather_generate_indices(shape) and returns: tf