code: def combinations_grid(**kwargs):
      """Creates a grid of input combinations.
  
      Each element in the returned sequence is a dictionary containing one possible combination as values.
  
      Example:
          >>> combinations_grid(foo=("bar", "baz"), spam=("eggs", "ham"))
          [
              {'foo': 'bar', 'spam': 'eggs'},
              {'foo': 'bar', 'spam': 'ham'},
              {'foo': 'baz', 'spam': 'eggs'},
              {'foo': 'baz', 'spam': 'ham'}
          ]
      """
      return [
          dict(zip(kwargs.keys(), values))
          for values in itertools.product(*kwargs.values())
      ]
  
imports: import contextlib
  import functools
  import itertools
  import os
  import pathlib
  import random
  import re
  import shutil
  import sys
  import tempfile
  import warnings
  from subprocess import CalledProcessError, check_output, STDOUT
  import numpy
  import PIL.Image
  import pytest
  import torch
  import torch.testing
  from PIL import Image
  from torch.testing._comparison import BooleanPair, NonePair, not_close_error_metas, NumberPair, TensorLikePair
  from torchvision import io, tv_tensors
  from torchvision.transforms._functional_tensor import _max_value
  from torchvision.transforms.v2.functional import to_image, to_pil_image
label_desc: Use image node_id 21 for calling a global function with example usage: combinations_grid() and returns: unknown