code: def run_benchmark(func, num_iters, unused_execution_mode):
      # warm up
      func()
      start = time.time()
      for _ in range(num_iters):
          func()
      end = time.time()
      return end - start
  
imports: import time
  from tensorflow.python.data.experimental.ops import prefetching_ops
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.eager import benchmarks_test_base
  from tensorflow.python.eager import context
  from tensorflow.python.eager import test
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import bitwise_ops
  from tensorflow.python.ops import critical_section_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops.ragged import ragged_factory_ops
  from tensorflow.python.ops.ragged import ragged_map_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.util import tf_inspect
label_desc: Use image node_id 1 for calling a global function with example usage: run_benchmark(func, num_iters, unused_execution_mode) and returns: unknown