code: def testExecuteMultipleWithoutError(self):
      all_ops = []
      shape = [6, 5]
      seed = [42, 24]
      for compute_uv_ in True, False:
          for full_matrices_ in True, False:
              matrix1 = stateless_random_ops.stateless_random_normal(
                  shape, seed
              )
              matrix2 = stateless_random_ops.stateless_random_normal(
                  shape, seed
              )
              self.assertAllEqual(matrix1, matrix2)
              if compute_uv_:
                  s1, u1, v1 = linalg_ops.svd(
                      matrix1,
                      compute_uv=compute_uv_,
                      full_matrices=full_matrices_,
                  )
                  s2, u2, v2 = linalg_ops.svd(
                      matrix2,
                      compute_uv=compute_uv_,
                      full_matrices=full_matrices_,
                  )
                  all_ops += [s1, s2, u1, u2, v1, v2]
              else:
                  s1 = linalg_ops.svd(
                      matrix1,
                      compute_uv=compute_uv_,
                      full_matrices=full_matrices_,
                  )
                  s2 = linalg_ops.svd(
                      matrix2,
                      compute_uv=compute_uv_,
                      full_matrices=full_matrices_,
                  )
                  all_ops += [s1, s2]
      val = self.evaluate(all_ops)
      for i in range(0, len(val), 2):
          self.assertAllEqual(val[i], val[i + 1])
  
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 5 for calling the SvdOpTest obj's underlying member method code with example usage: obj.testExecuteMultipleWithoutError() without return types