class_docstr: This is a large test due to the moments computation taking some time.
code: def testSeed(self):
      for dt in dtypes.float16, dtypes.float32, dtypes.float64:
          sx = self._Sampler(1000, 1.0, dt, use_gpu=True, seed=345)
          sy = self._Sampler(1000, 1.0, dt, use_gpu=True, seed=345)
          self.assertAllEqual(sx(), sy())
  
imports: import numpy
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  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 random_ops
  from tensorflow.python.platform import test
  from tensorflow.python.platform import tf_logging
label_desc: Use image node_id 4 for calling the RandomPoissonTest obj's underlying member method code with example usage: obj.testSeed() without return types