class_docstr: Microbenchmarks for the stateless random ops.
class_docstr_tok: ["Microbenchmarks","for","the","stateless","random","ops","."]
code: def benchmarkUniformF64(self):
      self._benchmarkUniform(
          "uniform_f64", dtype=dtypes.float64, use_xla_jit=False
      )
  
imports: import functools
  from absl.testing import parameterized
  import numpy
  from tensorflow.compiler.tests import xla_test
  from tensorflow.python.client import device_lib
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import config
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.kernel_tests.random import util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_stateless_random_ops_v2
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import random_ops_util
  from tensorflow.python.ops import stateless_random_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
label_desc: Use image node_id 4 for calling the StatelessRandomOpsBenchmark obj's underlying member method code with example usage: obj.benchmarkUniformF64() without return types