// ppc64x:-"MOVBZ\tR\\d+,\\sR\\d+"
	val16[0] = uint16(*u8)

	// AND not needed due to size
	// ppc64x:-"ANDCC"
	sval16[1] = 255 & int16(x8+y8)

	// ppc64x:-"ANDCC"
	val16[1] = 255 & uint16(*u8+z8)

}
func shiftidx(u8 *uint8, x16 *int16, u16 *uint16) {

	// ppc64x:-"MOVBZ\tR\\d+,\\sR\\d+"
	val16[0] = uint16(sval16[*u8>>2])

	// ppc64x:-"MOVH\tR\\d+,\\sR\\d+"
	sval16[1] = int16(val16[*x16>>1])

// CANON:             [[VAL_14:%.*]] = "tf.AddV2"([[VAL_12]], [[VAL_4]])
// CANON:             [[VAL_15:%.*]] = "tf.AddV2"([[VAL_13]], [[VAL_5]])
// CANON:             [[VAL_16:%.*]] = "tf.AddV2"([[VAL_11]], [[VAL_4]])
// CANON:             "tfl.yield"([[VAL_16]], [[VAL_14]], [[VAL_15]]) : (tensor<*xi32>, tensor<*xi32>, tensor<*xf32>) -> ()

(CMPLconstload {sym} [vo] ptr mem) && vo.Val() != 0 => (CMPLconst (MOVLload {sym} [vo.Off()] ptr mem) [vo.Val()])
(CMPWconstload {sym} [vo] ptr mem) && vo.Val() != 0 => (CMPWconst (MOVWload {sym} [vo.Off()] ptr mem) [vo.Val16()])
(CMPBconstload {sym} [vo] ptr mem) && vo.Val() != 0 => (CMPBconst (MOVBload {sym} [vo.Off()] ptr mem) [vo.Val8()])

(CMPLconstload {sym} [vo] ptr mem) => (CMPLconst (MOVLload {sym} [vo.Off()] ptr mem) [vo.Val()])
(CMPWconstload {sym} [vo] ptr mem) => (CMPWconst (MOVWload {sym} [vo.Off()] ptr mem) [vo.Val16()])

)

var mutex *sync.Mutex

func small5() { // ERROR "can inline small5"
	// the Unlock fast path should be inlined
	mutex.Unlock() // ERROR "inlining call to sync\.\(\*Mutex\)\.Unlock"
}

func small6() { // ERROR "can inline small6"
	// the Lock fast path should be inlined
	mutex.Lock() // ERROR "inlining call to sync\.\(\*Mutex\)\.Lock"
}

var once *sync.Once

func small7() { // ERROR "can inline small7"

	typ := &b.Func.Config.Types
	// match: (CMPWconstload {sym} [vo] ptr mem)
	// result: (CMPWconst (MOVWload {sym} [vo.Off()] ptr mem) [vo.Val16()])
	for {
		vo := auxIntToValAndOff(v.AuxInt)
		sym := auxToSym(v.Aux)
		ptr := v_0
		mem := v_1
		v.reset(Op386CMPWconst)
		v.AuxInt = int16ToAuxInt(vo.Val16())
		v0 := b.NewValue0(v.Pos, Op386MOVWload, typ.UInt16)
		v0.AuxInt = int32ToAuxInt(vo.Off())
		v0.Aux = symToAux(sym)

		result string
	}{
		{JSONSchemaPropsOrBoolHolder{}, `{"val1":false}`},

		{JSONSchemaPropsOrBoolHolder{JSPoB: JSONSchemaPropsOrBool{Schema: &JSONSchemaProps{}}}, `{"val1":{}}`},
		{JSONSchemaPropsOrBoolHolder{JSPoB: JSONSchemaPropsOrBool{Schema: &JSONSchemaProps{Type: "string"}}}, `{"val1":{"type":"string"}}`},
		{JSONSchemaPropsOrBoolHolder{JSPoB: JSONSchemaPropsOrBool{}}, `{"val1":false}`},

			}
		})
	}

	svals := []S{
		{1, "a"},
		{2, "a"},
		{1, "b"},
		{2, "b"},
	}

	gotMin := MinFunc(svals, cmpS)
	wantMin := S{1, "a"}
	if gotMin != wantMin {
		t.Errorf("MinFunc(%v) = %v, want %v", svals, gotMin, wantMin)
	}

	gotMax := MaxFunc(svals, cmpS)
	wantMax := S{2, "a"}
	if gotMax != wantMax {

# CHECK-DAG:       %[[VAL_2:.*]] = arith.constant dense<[1, 0]> : tensor<2xi32>
# CHECK-DAG:       %[[VAL_3:.*]] = "tfl.no_value"() <{value}> : () -> none
# CHECK-DAG:       %[[VAL_6:.*]] = arith.constant dense<0> : tensor<i32>
# CHECK:           %[[VAL_7:.*]]:2 = "tfl.split"(%[[VAL_6]], %[[VAL_0]]) <{num_splits = 2 : i32}> : (tensor<i32>, tensor<2x5x3xf32>) -> (tensor<1x5x3xf32>, tensor<1x5x3xf32>)

func.func @f() {
  // CHECK: "tf.VarHandleOp"
  // CHECK: "tf.ReadVariableOp"
  %val0 = "tf.VariableV2"() {_class = ["loc:@v"], container = "", device = "", shape = #tf_type.shape<96>, shared_name = ""} : () -> tensor<96x!tf_type.f32ref>
  %val1 = "tf.Identity"(%val0) : (tensor<96x!tf_type.f32ref>) -> tensor<96xf32>
  func.return
}

// -----

// Test case: Basic converting. '_class' attribute is at IdentityOp.

func.func @f() {