return success();
  }

  // Checks if the shape of `updates` is a tensor of shape
  // `indices.shape[:-1] + shape[indices.shape[-1]:]`, as described in
  // ScatterNd op description.

  auto outer_dims = indices_type.getRank() - 1;
  auto outermost_dim = indices_type.getDimSize(outer_dims);
  // Checks whether the first `outer_dims` dimensions of `indices` and
  // `updates` are equal.

    // CHECK:      metadata
    // CHECK-SAME: args
    // CHECK-SAME: dtype: DT_INT32
    // CHECK-SAME: shape
    // CHECK-SAME: dim
    // CHECK-SAME: size: 8
    // CHECK-SAME: kind: PARAMETER
    // CHECK-SAME: sharding
    // CHECK-SAME: type: MAXIMAL
    // CHECK-SAME: tile_assignment_dimensions: 1
    // CHECK-SAME: tile_assignment_devices: 0
    // CHECK-SAME: retvals

  // CHECK: "NONE"
  %0 = tfl.add %arg0, %arg1 {fused_activation_function = "NONE"} : tensor<4xi32>
  // CHECK: "RELU"
  %1 = tfl.add %arg0, %arg1 {fused_activation_function = "RELU"} : tensor<4xi32>
  // CHECK: "RELU_N1_TO_1"
  %2 = tfl.add %arg0, %arg1 {fused_activation_function = "RELU_N1_TO_1"} : tensor<4xi32>
  // CHECK: "RELU6"

	endPoint   string
	accessKey  string
	secretKey  string
	signer     signerType
	secure     bool
	client     *http.Client
}

type check struct {
	*testing.T
	testType string
}

// Assert - checks if gotValue is same as expectedValue, if not fails the test.
func (c *check) Assert(gotValue interface{}, expectedValue interface{}) {
	c.Helper()
	if !reflect.DeepEqual(gotValue, expectedValue) {

	// HTTP request for testing when `objectLayer` is set to `nil`.
	// There is no need to use an existing bucket and valid input for creating the request
	// since the `objectLayer==nil`  check is performed before any other checks inside the handlers.
	// The only aim is to generate an HTTP request in a way that the relevant/registered end point is evoked/called.

	nilBucket := "dummy-bucket"
	nilObject := "dummy-object"

        }
      }
    }
    return success();
  };

  if (check(op.getWindowDimensions(), "window_dimensions").failed())
    return failure();

  if (check(op.getWindowStrides(), "window_strides").failed()) return failure();

  if (check(op.getBaseDilations(), "base_dilations").failed()) return failure();

  if (check(op.getWindowDilations(), "window_dilations").failed())
    return failure();

    if (!rw || rw->getNumResults() != 1) return failure();

    // Check that the reduce-window is a sum-reduce-window.
    if (failed(MatchBinaryReduceFunction<mhlo::AddOp>(rw.getBody())))
      return failure();

    // Check that this is a floating point reduce window with a rank of 4 or 5.
    const RankedTensorType rw_type =

			if areAttachedErr != nil {
				klog.Errorf(
					"VolumesAreAttached failed for checking on node %q with: %v",
					nodeName,
					areAttachedErr)
				continue
			}

			for spec, check := range attached {
				if !check {
					actualStateOfWorld.MarkVolumeAsDetached(volumeSpecMap[spec], nodeName)

//===--------------------------------------------------------------------===//

// CHECK-LABEL: func @tensorProtoAttr
func.func @tensorProtoAttr() -> () {
^bb0:
// CHECK: "tf.TensorProtoIntTensor"() {bar = #tf_type<tensor_proto : "0x68656C6C6F"> : tensor<2x1x4xi32>} : () -> ()
  "tf.TensorProtoIntTensor"(){bar = #tf_type<tensor_proto : "0x68656C6C6F"> : tensor<2x1x4xi32>} : () -> ()

	// there may be none). Since we're slightly less likely to find a P,
	// check for that first.
	//
	// Synchronization: note that we must hold sched.lock until we are
	// committed to keeping it. Otherwise we cannot put the unnecessary P
	// back in sched.pidle without performing the full set of idle
	// transition checks.
	//
	// If we were to check gcBgMarkWorkerPool first, we must somehow handle