code: def product_dict(**kwargs):
      keys = kwargs.keys()
      vals = kwargs.values()
      for instance in itertools.product(*vals):
          yield dict(zip(keys, instance))
  
imports: import itertools
  from functools import partial, reduce
  from typing import Iterator
  import timm
  import torch
  import torch.nn
  from timm.models.layers import Mlp
  from timm.models.vision_transformer import Attention
  from timm.models.vision_transformer import Block
  from torch.utils import benchmark
  from utils import benchmark_main_helper
  import xformers.ops
label_desc: Use image node_id 5 for calling a global function with example usage: product_dict() without return types