TF_Tensor* result = TFE_TensorHandleResolve(compute_fn_outputs[0], status);
  EXPECT_EQ(TF_GetCode(status), TF_OK) << TF_Message(status);

  EXPECT_EQ(TF_NumDims(result), 0);
  float output_value = *static_cast<float*>(TF_TensorData(result));
  // (1 + 2) * (2 + 1) / 3 + 5 should be 8
  EXPECT_FLOAT_EQ(output_value, 8.0);

  TF_DeleteTensor(result);
  TFE_DeleteTensorHandle(compute_fn_outputs[0]);

	wg.Add(numRoutines)
	for i := 0; i < numRoutines; i++ {
		go func(i int) {
			defer wg.Done()
			var seed int64
			for j := 0; j < numCycles; j++ {
				seed += int64(ExpFloat64())
				seed += int64(Float32())
				seed += int64(Float64())
				seed += int64(IntN(Int()))
				seed += int64(Int32N(Int32()))
				seed += int64(Int64N(Int64()))
				seed += int64(NormFloat64())
				seed += int64(Uint32())
				seed += int64(Uint64())

	// 386:"MOVL\t[$]-252645135","IMULL",-"IDIVL"
	// arm64:`SMULH`,-`DIV`
	// arm:`MOVW`,`MUL`,-`.*udiv`
	b := n2 / 17 // signed

	return a, b
}

func FloatDivs(a []float32) float32 {
	// amd64:`DIVSS\s8\([A-Z]+\),\sX[0-9]+`
	// 386/sse2:`DIVSS\s8\([A-Z]+\),\sX[0-9]+`
	return a[1] / a[2]
}

func Pow2Mods(n1 uint, n2 int) (uint, int) {
	// 386:"ANDL\t[$]31",-"DIVL"

	case Int, Int8, Int16, Int32, Int64:
		return strconv.FormatInt(val.Int(), 10)
	case Uint, Uint8, Uint16, Uint32, Uint64, Uintptr:
		return strconv.FormatUint(val.Uint(), 10)
	case Float32, Float64:
		return strconv.FormatFloat(val.Float(), 'g', -1, 64)
	case Complex64, Complex128:
		c := val.Complex()
		return strconv.FormatFloat(real(c), 'g', -1, 64) + "+" + strconv.FormatFloat(imag(c), 'g', -1, 64) + "i"
	case String:

// partition64 calls consume n times, passing ints [0,n) and floats that sum to x
func partition64(rands *rand.Rand, n int, x float64, consume func(int, float64)) {
	if n <= 0 {
		return
	}
	divs := make([]float64, n-1)
	for idx := range divs {
		divs[idx] = float64(rands.Float64())
	}
	sort.Float64s(divs)
	var last float64
	for idx, div := range divs {
		div32 := float64(div)
		delta := div32 - last
		consume(idx, delta*x)

		// defined in RFC 8949 4.2.1 "Core Deterministic Encoding Requirements".
		Sort: cbor.SortBytewiseLexical,

		// CBOR supports distinct types for IEEE-754 float16, float32, and float64. Store
		// floats in the smallest width that preserves value so that equivalent float32 and
		// float64 values encode to identical bytes, as they do in a JSON
		// encoding. Satisfies one of the "Core Deterministic Encoding Requirements".

  TF_INT64 = 9,
  TF_BOOL = 10,
  TF_QINT8 = 11,     // Quantized int8
  TF_QUINT8 = 12,    // Quantized uint8
  TF_QINT32 = 13,    // Quantized int32
  TF_BFLOAT16 = 14,  // Float32 truncated to 16 bits.
  TF_QINT16 = 15,    // Quantized int16
  TF_QUINT16 = 16,   // Quantized uint16
  TF_UINT16 = 17,
  TF_COMPLEX128 = 18,  // Double-precision complex
  TF_HALF = 19,
  TF_RESOURCE = 20,

		for _, test := range tests {
			test := test
			if flag == ",softfloat" && !test.usesFloat {
				// No point in running the soft float version if the test doesn't use floats.
				continue
			}
			t.Run(fmt.Sprintf("%s%s", test.name[4:], flag), func(t *testing.T) {

		Peak:    peak,
		Curr:    curr,
		measure: rx.measure,
		N:       rx.N + o.N,
	}
}

func calcAvg(x, y float64, n1, n2 int64) float64 {
	if n1+n2 == 0 {
		return 0
	}
	avg := (x*float64(n1) + y*float64(n2)) / float64(n1+n2)
	return avg
}

// Add a new transfer
func (rx *XferStats) addSize(sz int64, t time.Duration) {
	if rx.measure == nil {

const (
	Invalid BasicKind = iota // type is invalid

	// predeclared types
	Bool
	Int
	Int8
	Int16
	Int32
	Int64
	Uint
	Uint8
	Uint16
	Uint32
	Uint64
	Uintptr
	Float32
	Float64
	Complex64
	Complex128
	String
	UnsafePointer

	// types for untyped values
	UntypedBool
	UntypedInt
	UntypedRune
	UntypedFloat
	UntypedComplex
	UntypedString
	UntypedNil