code: def set(
      mem="512",
      random_seed=0,
      autobatch=0,
      profiling=0,
      weight_decay=0,
      shared_parameters=0,
      requested_gpus=0,
      gpu_mask=None,
  ):
      if "__DYNET_CONFIG" in __builtins__:
          (mem, random_seed, auto_batch, profiling) = (
              __builtins__["__DYNET_CONFIG"]["mem"]
              if __builtins__["__DYNET_CONFIG"].get("mem") == mem
              else mem,
              __builtins__["__DYNET_CONFIG"]["seed"]
              if __builtins__["__DYNET_CONFIG"].get("seed")
              == random_seed
              else random_seed,
              __builtins__["__DYNET_CONFIG"]["autobatch"]
              if __builtins__["__DYNET_CONFIG"].get("autobatch")
              == autobatch
              else autobatch,
              __builtins__["__DYNET_CONFIG"]["profiling"]
              if __builtins__["__DYNET_CONFIG"].get("profiling")
              == profiling
              else profiling,
          )
          (
              weight_decay,
              shared_parameters,
              requested_gpus,
              gpu_mask,
          ) = (
              __builtins__["__DYNET_CONFIG"]["weight_decay"]
              if __builtins__["__DYNET_CONFIG"].get("weight_decay")
              == weight_decay
              else weight_decay,
              __builtins__["__DYNET_CONFIG"]["shared_params"]
              if __builtins__["__DYNET_CONFIG"].get("shared_params")
              == shared_parameters
              else shared_parameters,
              __builtins__["__DYNET_CONFIG"]["requested_gpus"]
              if __builtins__["__DYNET_CONFIG"].get("requested_gpus")
              == requested_gpus
              else requested_gpus,
              __builtins__["__DYNET_CONFIG"]["gpu_mask"]
              if __builtins__["__DYNET_CONFIG"].get("gpu_mask")
              == gpu_mask
              else gpu_mask,
          )
  
      # TODO read "gpu_mask" from list of IDs?
      __builtins__["__DYNET_CONFIG"] = {
          "mem": mem,
          "seed": random_seed,
          "autobatch": autobatch,
          "profiling": profiling,
          "weight_decay": weight_decay,
          "shared_params": shared_parameters,
          "requested_gpus": requested_gpus,
          "gpu_mask": gpu_mask if gpu_mask else list(),
      }
  
label_desc: Use image node_id 1 for calling a global function with example usage: set(mem, random_seed, autobatch, profiling, weight_decay, shared_parameters, requested_gpus, gpu_mask) without return types