code: def run_benchmark(func, num_iters, execution_mode=None):
      ctx = context.context()
      with context.execution_mode(execution_mode):
          # call func to maybe warm up the GPU
          func()
          if execution_mode == context.ASYNC:
              ctx.executor.wait()
          start = time.time()
          for _ in range(num_iters):
              func()
          if execution_mode == context.ASYNC:
              ctx.executor.wait()
          end = time.time()
  
          return end - start
  
imports: import gc
  import time
  from tensorflow.python.eager import context
  from tensorflow.python.eager import def_function
  from tensorflow.python.eager import remote
  from tensorflow.python.eager import test
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.training import server_lib
label_desc: Use image node_id 1 for calling a global function with example usage: run_benchmark(func, num_iters, execution_mode) and returns: unknown