// -----

// CHECK-LABEL: testPad
func.func @testPad(tensor<2x1x3xf32>, tensor<3x2xi32>) -> tensor<? x f32> {
^bb0(%arg0: tensor<2x1x3xf32>, %arg1: tensor<3x2xi32>):
  // CHECK: "tfl.pad"(%arg0, %arg1)
  %0 = "tfl.pad"(%arg0, %arg1) : (tensor<2x1x3xf32>, tensor<3x2xi32>) -> tensor<? x f32>
  func.return %0#0 : tensor<? x f32>
}

// -----

// CHECK-LABEL: testPad5D

}

// -----

// TODO(hinsu): Move this to MLIR core once the test dialect have a custom type.

// Check that broadcastable trait accepts TF specific element type
// CHECK-LABEL: func @testAdd
func.func @testAdd(%arg0: tensor<4x2x!tf_type.string>, %arg1: tensor<2x!tf_type.string>) -> tensor<4x2x!tf_type.string> {
  %0 = "tf.Add"(%arg0, %arg1) : (tensor<4x2x!tf_type.string>, tensor<2x!tf_type.string>) -> tensor<4x2x!tf_type.string>

			}

			for _, qPodInfo := range tt.qPodInfoInPodBackoffQ {
				q.podBackoffQ.Add(qPodInfo)
			}

			// Activate specific pod according to the table
			q.Activate(logger, map[string]*v1.Pod{"test_pod": tt.qPodInfoToActivate.PodInfo.Pod})

			// Check the result after activation by the length of activeQ
			if wantLen := len(tt.want); q.activeQ.Len() != wantLen {

	for i, xi := range x {
		k := ValueOf(xi).Elem().Elem().Elem().Interface().(uintptr)
		if k != uintptr(i) {
			t.Errorf("lost x[%d] = %d, want %d", i, k, i)
		}
	}
}

func TestAddr(t *testing.T) {
	var p struct {
		X, Y int
	}

	v := ValueOf(&p)
	v = v.Elem()
	v = v.Addr()
	v = v.Elem()
	v = v.Field(0)
	v.SetInt(2)
	if p.X != 2 {