code: def testDeterminism(self):
      shape = [6, 5]
      seed = [42, 24]
      matrix = stateless_random_ops.stateless_random_normal(shape, seed)
      with test_util.deterministic_ops():
          if test_util.is_gpu_available(cuda_only=True):
              s1, u1, v1 = self.evaluate(linalg_ops.svd(matrix))
              for _ in range(5):
                  s2, u2, v2 = self.evaluate(linalg_ops.svd(matrix))
                  self.assertAllEqual(s1, s2)
                  self.assertAllEqual(u1, u2)
                  self.assertAllEqual(v1, v2)
  
imports: import numpy
  from tensorflow.python.client import session
  from tensorflow.python.eager import context
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import errors_impl
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import gradient_checker
  from tensorflow.python.ops import gradient_checker_v2
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops import linalg_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import stateless_random_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import benchmark
  from tensorflow.python.platform import test
label_desc: Use image node_id 3 for calling the SvdOpTest obj's underlying member method code with example usage: obj.testDeterminism() without return types