code: def allocate_resources(experiment, config=None, verbose=10):
      logger = logs.get_logger("allocate_resources")
      logger.setLevel(verbose)
      logger.info(
          "Allocating resources {} for experiment {}".format(
              experiment.resources_needed, experiment.key
          )
      )
  
      ret_val = True
      gpus_needed = (
          int(experiment.resources_needed.get("gpus"))
          if experiment.resources_needed
          else 0
      )
  
      if gpus_needed > 0:
          ret_val = ret_val and allocate_gpus(
              gpus_needed, experiment.resources_needed, config
          )
      else:
          allocate_gpus(0)
  
      return ret_val
  
imports: import os
  import sys
  import subprocess
  import argparse
  import json
  import psutil
  import time
  import six
  import signal
  import pdb
  from apscheduler.schedulers.background import BackgroundScheduler
  from studio import fs_tracker, model
  from studio.util import logs
  from studio.queues.local_queue import LocalQueue
  from studio.util.gpu_util import get_available_gpus, get_gpu_mapping, get_gpus_summary
  from studio.artifacts.artifact import Artifact
  from studio.experiments.experiment import Experiment
  from studio.util.util import sixdecode, str2duration, retry, parse_verbosity, check_for_kb_interrupt
label_desc: Use image node_id 1 for calling a global function with example usage: allocate_resources(experiment, config, verbose) and returns: ret_val