ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get());
    TFE_TensorHandle* retvals[1];
    int num_retvals = 1;
    TFE_Execute(shape_op, &retvals[0], &num_retvals, status.get());
    ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get());

    device_type = TFE_TensorHandleDeviceType(retvals[0], status.get());
    ASSERT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get());

	if err != nil {
		return nil, err
	}
	retval := make([]*v1alpha1.IstioOperator, 0)
	for _, un := range ul.Items {
		fixTimestampRelatedUnmarshalIssues(&un)
		by := util.ToYAML(un.Object)
		iop, err := operator_istio.UnmarshalIstioOperator(by, true)
		if err != nil {
			return nil, err
		}
		retval = append(retval, iop)
	}
	return retval, nil
}

func decodeYAML(data []byte) (*unstructured.Unstructured, error) {
	retval := &unstructured.Unstructured{Object: map[string]interface{}{}}
	// ensure this isn't JSON
	if json.Unmarshal(data, &retval.Object) == nil {
		return nil, fmt.Errorf("data is JSON, not YAML: %s", string(data))
	}
	// ensure it is YAML
	retval.Object = map[string]interface{}{}
	if err := yaml.Unmarshal(data, &retval.Object); err != nil {

func i64tor(x int64Val) ratVal   { return ratVal{newRat().SetInt64(int64(x))} }
func i64tof(x int64Val) floatVal { return floatVal{newFloat().SetInt64(int64(x))} }
func itor(x intVal) ratVal       { return ratVal{newRat().SetInt(x.val)} }
func itof(x intVal) floatVal     { return floatVal{newFloat().SetInt(x.val)} }
func rtof(x ratVal) floatVal     { return floatVal{newFloat().SetRat(x.val)} }

          bytes.length);
      return padToLong();
    }

    @Override
    public long padToLong() {
      long retVal = (bytes[0] & 0xFF);
      for (int i = 1; i < Math.min(bytes.length, 8); i++) {
        retVal |= (bytes[i] & 0xFFL) << (i * 8);
      }
      return retVal;
    }

    @Override
    void writeBytesToImpl(byte[] dest, int offset, int maxLength) {

	var retval []certificates.CertificateSigningRequestCondition
	for i, c := range csr.Status.Conditions {
		if c.Type == conditionType {
			retval = append(retval, csr.Status.Conditions[i])
		}
	}
	return retval
}

// getValidationOptions returns the validation options to be

  EXPECT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);

  TFE_TensorHandle* retvals[1];
  int num_retvals = 1;
  TFE_Execute(matmul, &retvals[0], &num_retvals, status);
  EXPECT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);

  auto* retval_task0 =
      TFE_TensorHandleCopyToDevice(retvals[0], ctx, local_device_name, status);
  ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);

          bytes.length);
      return padToLong();
    }

    @Override
    public long padToLong() {
      long retVal = (bytes[0] & 0xFF);
      for (int i = 1; i < Math.min(bytes.length, 8); i++) {
        retVal |= (bytes[i] & 0xFFL) << (i * 8);
      }
      return retVal;
    }

    @Override
    void writeBytesToImpl(byte[] dest, int offset, int maxLength) {

               absl::Span<AbstractTensorHandle*> retvals, int* num_retvals,
               ForwardOperation* forward_op_, Tape* tape,
               const GradientRegistry& registry) {
  TF_RETURN_IF_ERROR(op_->Execute(retvals, num_retvals));
  for (int i = 0; i < *num_retvals; i++) {
    // TODO(srbs): Manage refcount of ForwardOperation's inputs/outputs.
    forward_op_->outputs.push_back(retvals[i]);
  }

// Execute the operation defined by 'op' and return handles to computed
// tensors in `retvals`.
//
// 'retvals' must point to a pre-allocated array of TFE_TensorHandle* and
// '*num_retvals' should be set to the size of this array. It is an error if
// the size of 'retvals' is less than the number of outputs. This call sets
// *num_retvals to the number of outputs.
//