tbl_outs = [
        (
            ["-gen-op-decls"],
            "QuantOps.h.inc",
        ),
        (
            ["-gen-op-defs"],
            "QuantOps.cc.inc",
        ),
        (
            [
                "-gen-dialect-decls",
                "-dialect=quantization",
            ],
            "QuantOpsDialect.h.inc",
        ),
        (
            [
                "-gen-dialect-defs",

	var v unix.Utsname
	err := unix.Uname(&v)
	if err != nil {
		telemetry.Inc(fmt.Sprintf("go/platform/host/%s/version:unknown-uname-error", runtime.GOOS))
		return
	}
	major, minor, ok := majorMinor(convert(v.Release[:]))
	if runtime.GOOS == "aix" {
		major, minor, ok = convert(v.Version[:]), convert(v.Release[:]), true
	}
	if !ok {
		telemetry.Inc(fmt.Sprintf("go/platform/host/%s/version:unknown-bad-format", runtime.GOOS))
		return

		N = 10
		iter = 10000
	}
	inc := uintptr(100)
	total := uintptr(0)
	runParallel(N, iter, func() {
		atomic.Xadduintptr(&total, inc)
	})
	if want := uintptr(N*iter) * inc; want != total {
		t.Fatalf("xadduintpr error, want %d, got %d", want, total)
	}
	total = 0
	runParallel(N, iter, func() {
		atomic.Xadduintptr(&total, inc)
		atomic.Xadduintptr(&total, uintptr(-int64(inc)))
	})
	if total != 0 {

// 	}
// 	goto C
// Z:
// 	return y
// }

// {f:BC_CD_BE_BZ_CZ101,
//  maxin:32, blocks:[]blo{
//  	blo{inc:0, cond:true, succs:[2]int64{1, 2}},
//  	blo{inc:1, cond:true, succs:[2]int64{2, 3}},
//  	blo{inc:0, cond:true, succs:[2]int64{1, 4}},
//  	blo{inc:10, cond:true, succs:[2]int64{1, 25}},
//  	blo{inc:0, cond:true, succs:[2]int64{2, 25}},}},

var labels string = "ABCDEFGHIJKLMNOPQRSTUVWXYZ"

	}
}

func checkI(name string, i tinter, inc int) {
	b, x := i.m(1000, 99)
	if b != 99 || x != 1000+inc {
		failed = true
		print(name, ".m(1000, 99) = ", b, ", ", x, " want 99, ", 1000+inc, "\n")
	}
	
	checkF("(i="+name+")", i.m, inc)
}

func checkF(name string, f func(int, byte) (byte, int), inc int) {
	b, x := f(1000, 99)
	if b != 99 || x != 1000+inc {
		failed = true

// aaa : 2015-02-26 American Automobile Association, Inc.
aaa

// aarp : 2015-05-21 AARP
aarp

// abarth : 2015-07-30 Fiat Chrysler Automobiles N.V.
abarth

// abb : 2014-10-24 ABB Ltd
abb

// abbott : 2014-07-24 Abbott Laboratories, Inc.
abbott

// abbvie : 2015-07-30 AbbVie Inc.
abbvie

// abc : 2015-07-30 Disney Enterprises, Inc.
abc

// able : 2015-06-25 Able Inc.

#include "mlir/Support/LLVM.h"  // from @llvm-project
#include "mlir/Support/TypeID.h"  // from @llvm-project
#include "tensorflow/compiler/mlir/lite/ir/tfl_ops_dialect.h.inc"
#include "tensorflow/compiler/mlir/lite/ir/tfl_ops_enums.h.inc"
#include "tensorflow/compiler/mlir/lite/quantization/ir/QuantOps.h"
#include "tensorflow/compiler/mlir/lite/schema/schema_generated.h"
#include "tensorflow/compiler/mlir/lite/utils/utils.h"

	// implementation over the range of interest for heap sampling.
	const randomBitCount = 26
	var e float64

	inc := 1
	if testing.Short() {
		// Check 1K total values, down from 64M.
		inc = 1 << 16
	}
	for i := 1; i < 1<<randomBitCount; i += inc {
		l, fl := math.Log2(float64(i)), runtime.Fastlog2(float64(i))
		d := l - fl
		e += d * d
	}
	e = math.Sqrt(e)

	if e > 1.0 {

  addInterfaces<TensorflowMlrtInlinerInterface>();

  addOperations<
#define GET_OP_LIST
#include "tensorflow/compiler/mlir/tfrt/ir/mlrt/tf_mlrt_ops.cpp.inc"
      >();

  addOperations<
#define GET_OP_LIST
#include "tensorflow/compiler/mlir/tfrt/ir/mlrt/tf_ops.cpp.inc"
      >();
}

// Parse a type registered to this dialect.
mlir::Type TensorflowMlrtDialect::parseType(
    mlir::DialectAsmParser &parser) const {

        "collection_ops_util.h",
        "einsum.h",
        "passes.h",
    ],
    includes = ["include"],
    textual_hdrs = [
        "tf_device_passes.h.inc",
        "tf_passes.h.inc",
        "tf_savedmodel_passes.h.inc",
    ],
    visibility = ["//visibility:public"],
    deps = [
        ":cluster_formation",
        ":decompose_resource_ops",
        ":decompose_resource_ops_inc_gen",