<hoge:address xmlns:hoge="http://www.example.com/hoge">
	<hoge:item sex="male" custid="A12345">
		<hoge:name>鈴木太郎</hoge:name>
		<hoge:access kind="email"></hoge:access>
		<hoge:access kind="url">http://www.taro.com/</hoge:access>
		<hoge:image file="taro.png" />
	</hoge:item>
	<hoge:item sex="male" custid="B23456">
		<hoge:name>佐藤二朗</hoge:name>
		<hoge:access kind="email">******@****.***</hoge:access>
		<hoge:image file="jiro.png" />
	</hoge:item>

// Test for partial folding: only fold i32 constants.
// RUN: tac-opt-all-backends -tfl-fold-constants-to-subgraph='fold-all-constants=false' %s -split-input-file -verify-diagnostics | FileCheck --check-prefix=PARTIAL %s

// Test for fold all constants.
// RUN: tac-opt-all-backends -tfl-fold-constants-to-subgraph='fold-all-constants=true' %s -split-input-file -verify-diagnostics | FileCheck --check-prefix=ALL %s

module {

#include "tensorflow/compiler/mlir/lite/experimental/tac/py_wrapper/tac_wrapper.h"

#include <memory>
#include <string>
#include <vector>

#include "absl/status/status.h"
#include "tensorflow/compiler/mlir/lite/experimental/tac/common/targets.h"
#include "tensorflow/compiler/mlir/lite/experimental/tac/common/utils.h"
#include "tensorflow/compiler/mlir/lite/experimental/tac/tac_module.h"

    default_visibility = [
        "//tensorflow:__pkg__",
        "//tensorflow/compiler/mlir/lite:__subpackages__",
        "//tensorflow/lite/python/converter:__subpackages__",
        "//tensorflow/lite/toco/python:__subpackages__",
    ],
    licenses = ["notice"],
)

cc_library(
    name = "error_collector",
    srcs = ["error_collector.cc"],
    hdrs = ["error_collector.h"],
    deps = [

tf_cc_binary(
    name = "tac-opt-all-backends",
    testonly = True,
    deps = [
        ":tac-opt_lib",
        "//tensorflow/compiler/mlir/lite/experimental/common:outline_operations",
        "//tensorflow/compiler/mlir/lite/experimental/tac/hardwares:all-target-hardwares",
    ],
)

cc_library(
    name = "tac-translate-lib",
    srcs = [
        "tac_translate.cc",
    ],
    deps = [

        <item sex="male" custid="A12345">
                <name>鈴木太郎</name>
                <access kind="email"></access>
                <access kind="url">http://www.taro.com/</access>
                <image file="taro.png" />
        </item>
        <item sex="male" custid="B23456">
                <name>佐藤二朗</name>
                <access kind="email">******@****.***</access>

#include "tensorflow/compiler/mlir/lite/experimental/tac/common/cost.h"
#include "tensorflow/compiler/mlir/lite/experimental/tac/common/subgraph.h"
#include "tensorflow/compiler/mlir/lite/experimental/tac/common/targets.h"
#include "tensorflow/compiler/mlir/lite/experimental/tac/common/utils.h"
#include "tensorflow/compiler/mlir/lite/experimental/tac/transforms/cost_model.h"

#include "tensorflow/compiler/mlir/lite/experimental/tac/common/targets.h"
#include "tensorflow/compiler/mlir/lite/experimental/tac/common/utils.h"
#include "tensorflow/compiler/mlir/lite/experimental/tac/execution_metadata_exporter.h"
#include "tensorflow/compiler/mlir/lite/experimental/tac/hardwares/target_hardware.h"
#include "tensorflow/compiler/mlir/lite/experimental/tac/utils/utils.h"

namespace mlir {
namespace TFL {

}

// CHECK: %[[CST:.*]] = arith.constant dense<1> : tensor<4xi32>
// CHECK:  [[VAL_0:%.*]] = "tfl.reshape"(%1, %[[CST]]) {tac.device = "GPU",  tac.inference_type = "FLOAT"} : (tensor<1xf32>, tensor<4xi32>) -> tensor<1x1x1x1xf32>
// CHECK:  [[VAL_1:%.*]] = "tfl.reshape"(%2, %[[CST]]) {tac.device = "GPU",  tac.inference_type = "FLOAT"} : (tensor<1xf32>, tensor<4xi32>) -> tensor<1x1x1x1xf32>

//
// ======== IRs after TAC ========
// op1 = .... {tac.device = "CPU"}
// op2 = .... {tac.device = "GPU"}
// op3 = .... {tac.device = "GPU"}
// op4 = .... {tac.device = "CPU"}
//
// We will run a separate cost estimation for each op with each different
// hardwares.
//
// ======== IRs after cost-estimation ========
// op1 = .... {tac.device = "CPU"} {"CPU": 10, "GPU": -1.0}