}
func (f *Func) ConstInt32(t *types.Type, c int32) *Value {
	return f.constVal(OpConst32, t, int64(c), true)
}
func (f *Func) ConstInt64(t *types.Type, c int64) *Value {
	return f.constVal(OpConst64, t, c, true)
}
func (f *Func) ConstFloat32(t *types.Type, c float64) *Value {
	return f.constVal(OpConst32F, t, int64(math.Float64bits(float64(float32(c)))), true)
}
func (f *Func) ConstFloat64(t *types.Type, c float64) *Value {

      return %cluster : tensor<i32>
    }
    ```

    will be transformed into:

    ```mlir
    func @computation(%arg0: tensor<i32>) -> tensor<i32> {
      %cluster = "tf_device.cluster_func"(%arg0) {func = @_func} : (tensor<i32>) -> tensor<i32>
      return %cluster : tensor<i32>
    }

    func @_func(%arg0: tensor<i32>) -> tensor<i32> {
      %identity = "tf.Identity"(%arg0) : (tensor<i32>) -> tensor<i32>

	allowCreateOnUpdate      bool
	allowUnconditionalUpdate bool
}

func (t *testRESTStrategy) NamespaceScoped() bool          { return t.namespaceScoped }
func (t *testRESTStrategy) AllowCreateOnUpdate() bool      { return t.allowCreateOnUpdate }
func (t *testRESTStrategy) AllowUnconditionalUpdate() bool { return t.allowUnconditionalUpdate }

func (t *testRESTStrategy) PrepareForCreate(ctx context.Context, obj runtime.Object) {

}
func (s *state) constNil(t *types.Type) *ssa.Value { return s.f.ConstNil(t) }
func (s *state) constEmptyString(t *types.Type) *ssa.Value {
	return s.f.ConstEmptyString(t)
}
func (s *state) constBool(c bool) *ssa.Value {
	return s.f.ConstBool(types.Types[types.TBOOL], c)
}
func (s *state) constInt8(t *types.Type, c int8) *ssa.Value {
	return s.f.ConstInt8(t, c)
}