class_docstr: Test cases for random-number generating operators.
code: def testRandomNormal(self, mean, stddev):
      num_elts = 1000000
      for dtype in self._random_types() & self.float_types:
          with self.session():
              with self.test_scope():
                  normal = random_ops.random_normal(
                      [num_elts], dtype=dtype, mean=mean, stddev=stddev
                  )
                  self._checkTruncatedNormalIsInRange(
                      normal,
                      a=normal.dtype.min,
                      b=normal.dtype.max,
                      mu=mean,
                      sigma=stddev,
                      count=num_elts,
                      stat_test=True,
                  )
  
imports: import math
  from absl.testing import parameterized
  import numpy
  from tensorflow.compiler.tests import xla_test
  from tensorflow.python.framework import dtypes
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops.distributions import special_math
  from tensorflow.python.platform import googletest
label_desc: Use image node_id 5 for calling the RandomOpsTest obj's underlying member method code with example usage: obj.testRandomNormal(mean, stddev) without return types