code: def testSeed(self):
      for dt in get_float_types():
          sx = self._Sampler(1000, 0.0, 1.0, dt, use_gpu=True, seed=345)
          sy = self._Sampler(1000, 0.0, 1.0, dt, use_gpu=True, seed=345)
          self.assertAllEqual(sx(), sy())
  
imports: import numpy
  from tensorflow.python.eager import context
  from tensorflow.python.framework import config
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import random_seed
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_random_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
label_desc: Use image node_id 4 for calling the RandomNormalTest obj's underlying member method code with example usage: obj.testSeed() without return types