code: def _report(
      self,
      label,
      start,
      num_iters,
      device,
      batch_size,
      data_format,
      num_replicas=1,
  ):
      resnet50_test_util.report(
          self,
          label,
          start,
          num_iters,
          device,
          batch_size,
          data_format,
          num_replicas,
      )
  
imports: import gc
  import os
  import tempfile
  import time
  import tensorflow
  from tensorflow.python.client import device_lib
  from tensorflow.python.eager import context
  from tensorflow.python.eager import record
  from tensorflow.python.eager.benchmarks.resnet50 import resnet50
  from tensorflow.python.eager.benchmarks.resnet50 import resnet50_test_util
  from tensorflow.python.framework import test_util
label_desc: Use image node_id 1 for calling the ResNet50Benchmarks obj's underlying member method code with example usage: obj._report(label, start, num_iters, device, batch_size, data_format, num_replicas) without return types