class_docstr: Test cases for stateless random-number generator operators.
class_docstr_tok: ["Test","cases","for","stateless","random-number","generator","operators","."]
code: def _testParameterizedTruncatedNormal(
      self, means, stddevs, minvals, maxvals, variance_rtol=None
  ):
      for dtype in self._random_types():
          with self.session() as sess, self.test_scope():
              seed_t = array_ops.placeholder(dtypes.int32, shape=[2])
              n = int(10e7)
              x = stateless.stateless_parameterized_truncated_normal(
                  shape=[n],
                  seed=seed_t,
                  means=means,
                  stddevs=stddevs,
                  minvals=minvals,
                  maxvals=maxvals,
              )
              y = sess.run(x, {seed_t: [0x12345678, 0xABCDEF1]})
              if variance_rtol is None:
                  variance_rtol = (
                      6e-3 if dtype == dtypes.bfloat16 else 1e-3
                  )
              random_test_util.test_truncated_normal(
                  self.assertEqual,
                  self.assertAllClose,
                  n,
                  y,
                  means=means,
                  stddevs=stddevs,
                  minvals=minvals,
                  maxvals=maxvals,
                  mean_atol=1e-3,
                  median_atol=1e-3,
                  variance_rtol=variance_rtol,
              )
  
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 12 for calling the StatelessRandomOpsTest obj's underlying member method code with example usage: obj._testParameterizedTruncatedNormal(means, stddevs, minvals, maxvals, variance_rtol) without return types