// RUN: tf-opt %s -tfl-prepare-quantize-dynamic-range="enable-float16-quantization" -tfl-quantize="enable-dynamic-range-quantization=true" | FileCheck --check-prefix=CHECK %s

// CHECK-LABEL: QuantizeUnidirectionalLstm
func.func @QuantizeUnidirectionalLstm(%arg0: tensor<1x2x3xf32>) -> (tensor<1x2x3xf32>) {
  %1 = "tfl.pseudo_const"() {value = dense<[[0.1]]> : tensor<1x1xf32>} : () -> tensor<1x1xf32>

}

// floatFromReg loads a float value from its register representation in r.
//
// argSize must be 4 or 8.
func floatFromReg(r *abi.RegArgs, reg int, argSize uintptr, to unsafe.Pointer) {
	switch argSize {
	case 4:
		*(*float32)(to) = archFloat32FromReg(r.Floats[reg])
	case 8:
		*(*float64)(to) = *(*float64)(unsafe.Pointer(&r.Floats[reg]))
	default:
		panic("bad argSize")
	}
}

		{name: "FMOVSconst", argLength: 0, reg: fp01, aux: "Float64", asm: "FMOVS", typ: "Float32", rematerializeable: true}, // auxint as 64-bit float, convert to 32-bit float
		{name: "FMOVDconst", argLength: 0, reg: fp01, aux: "Float64", asm: "FMOVD", typ: "Float64", rematerializeable: true}, // auxint as 64-bit float

func initNorm() (testKn []uint32, testWn, testFn []float32) {
	const m1 = 1 << 31
	var (
		dn float64 = rn
		tn         = dn
		vn float64 = 9.91256303526217e-3
	)

	testKn = make([]uint32, 128)
	testWn = make([]float32, 128)
	testFn = make([]float32, 128)

	q := vn / math.Exp(-0.5*dn*dn)
	testKn[0] = uint32((dn / q) * m1)
	testKn[1] = 0
	testWn[0] = float32(q / m1)
	testWn[127] = float32(dn / m1)

    }
    return false;
  }

  // Insert CastOp which is used to for converting float32 ConstantOp into
  // float16 quantization. If there is an existing CastOp connected to the
  // ConstantOp, the quantize_op will be rewired to the existing CastOp. This
  // guarantees at most one CastOp is created for float32 to float16 conversion.
  void quantizeOpAsFloat16(PatternRewriter& rewriter, arith::ConstantOp op,

	case reflect.Uint64:
		u64 := rv.Uint()
		if u64 >= 1<<63 {
			return nil, fmt.Errorf("uint64 values with high bit set are not supported")
		}
		return int64(u64), nil
	case reflect.Float32, reflect.Float64:
		return rv.Float(), nil
	case reflect.Bool:
		return rv.Bool(), nil
	case reflect.Slice:
		ek := rv.Type().Elem().Kind()
		if ek == reflect.Uint8 {
			return rv.Bytes(), nil
		}

	case reflect.Uint64:
		e.uint64(v.Uint())

	case reflect.Float32:
		e.uint32(math.Float32bits(float32(v.Float())))
	case reflect.Float64:
		e.uint64(math.Float64bits(v.Float()))

	case reflect.Complex64:
		x := v.Complex()
		e.uint32(math.Float32bits(float32(real(x))))
		e.uint32(math.Float32bits(float32(imag(x))))
	case reflect.Complex128:
		x := v.Complex()

	case nil:
		var v bool = t /* ERRORx `cannot use .* in variable declaration` */
		_ = v
	case int:
		var v int = t
		_ = v
	case float32, complex64:
		var v float32 = t /* ERRORx `cannot use .* in variable declaration` */
		_ = v
	default:
		var v float32 = t /* ERRORx `cannot use .* in variable declaration` */
		_ = v
	}

	var t I
	switch t.(type) {
	case T:

		b.Run(fmt.Sprintf("Size%d", size), func(b *testing.B) {
			floats := make([]float64, size)
			for i := range floats {
				floats[i] = float64(i)
			}
			midpoint := len(floats) / 2
			needle := (floats[midpoint] + floats[midpoint+1]) / 2
			b.ResetTimer()
			for i := 0; i < b.N; i++ {
				slices.BinarySearch(floats, needle)
			}
		})
	}
}

type myStruct struct {
	a, b, c, d string

	case reflect.Uint, reflect.Uint8, reflect.Uint16, reflect.Uint32, reflect.Uint64:
		return strconv.FormatUint(rv.Uint(), 10)
	case reflect.Float64:
		return strconv.FormatFloat(rv.Float(), 'g', -1, 64)
	case reflect.Float32:
		return strconv.FormatFloat(rv.Float(), 'g', -1, 32)
	case reflect.Bool:
		return strconv.FormatBool(rv.Bool())
	}
	return fmt.Sprintf("%v", src)
}