code: def __init__(self):
      super().__init__()
      self._m_2_by_2 = random_ops.random_uniform((2, 2))
      self._m_2_by_2_int32 = random_ops.random_uniform(
          (2, 2), maxval=5, dtype=dtypes.int32
      )
      self._m_100_by_100 = random_ops.random_uniform((100, 100))
      self._m_100_by_100_int32 = random_ops.random_uniform(
          (100, 100), maxval=5, dtype=dtypes.int32
      )
      self._m_1000_by_1000 = random_ops.random_uniform((1000, 1000))
      self._m_1000_by_1000_int32 = random_ops.random_uniform(
          (1000, 1000), maxval=5, dtype=dtypes.int32
      )
  
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 to create a new MicroBenchmarks object from inherited base classes: benchmarks_test_base with example: obj = MicroBenchmarks()