class_docstr: Abstract class that provides helpers for TensorFlow benchmarks.
docstr: Evaluates tensors and returns numpy values.
  
  Args:
    tensors: A Tensor or a nested list/tuple of Tensors.
  
  Returns:
    tensors numpy values.
code: def evaluate(self, tensors):
      """Evaluates tensors and returns numpy values.
  
      Args:
        tensors: A Tensor or a nested list/tuple of Tensors.
  
      Returns:
        tensors numpy values.
      """
      sess = ops.get_default_session() or self.cached_session()
      return sess.run(tensors)
  
imports: import math
  import numbers
  import os
  import re
  import sys
  import time
  import types
  from absl import app
  from tensorflow.core.protobuf import config_pb2
  from tensorflow.core.protobuf import rewriter_config_pb2
  from tensorflow.core.util import test_log_pb2
  from tensorflow.python.client import timeline
  from tensorflow.python.framework import ops
  from tensorflow.python.platform import gfile
  from tensorflow.python.platform import tf_logging
  from tensorflow.python.util import tf_inspect
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 4 for calling the TensorFlowBenchmark obj's underlying member method code with example usage: obj.evaluate(tensors) and returns: sess