#include "mlir/Tools/mlir-opt/MlirOptMain.h"  // from @llvm-project
#include "tensorflow/compiler/mlir/init_mlir.h"
#include "tensorflow/compiler/mlir/lite/quantization/ir/QuantOps.h"
#include "tensorflow/compiler/mlir/tensorflow/dialect_registration.h"
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_ops.h"
#include "tensorflow/compiler/mlir/tfr/ir/tfr_ops.h"

int main(int argc, char **argv) {
  tensorflow::InitMlir y(&argc, &argv);

filegroup(
    name = "test_utilities",
    testonly = True,
    data = [
        "//tensorflow/compiler/mlir/lite:flatbuffer_to_string",
        "//tensorflow/compiler/mlir/lite:flatbuffer_translate",
        "@llvm-project//llvm:FileCheck",
        "@llvm-project//llvm:not",
    ],

#include "tensorflow/compiler/mlir/tensorflow/ir/tf_attributes.h"
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_op_interfaces.h"
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_ops.h"
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_side_effects.h"
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_structs.h"
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_types.h"

    }

    /**
     * Macros that should be defined for the compiler.
     *
     * <p>Macros do not have values in Swift; they are either present or absent.</p>
     *
     * @since 4.7
     */
    @Input
    public ListProperty<String> getMacros() {
        return macros;
    }

    /**
     * Should the compiler generate debuggable code?
     *
     * @since 4.7
     */

    /**
     * Returns the Java home which contains the compiler to use.
     * <p>
     * Only takes effect if {@code CompileOptions.fork} is {@code true}. Defaults to {@code null}.
     *
     * @since 3.5
     */
    @Internal
    @Nullable
    public File getJavaHome() {
        return javaHome;
    }

    /**
     * Sets the Java home which contains the compiler to use.
     * <p>

)

tf_cc_test(
    name = "save_report_test",
    srcs = ["save_report_test.cc"],
    deps = [
        ":save_report",
        "//tensorflow/compiler/mlir/quantization/common:test_base",
        "//tensorflow/compiler/mlir/quantization/stablehlo:passes",
        "//tensorflow/compiler/mlir/quantization/stablehlo/cc:io",
        "@com_google_absl//absl/status",
        "@com_google_absl//absl/status:statusor",

#include "mlir/Support/LLVM.h"  // from @llvm-project
#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/quantization/stablehlo/instrumentations/save_report.h"
#include "tensorflow/compiler/mlir/quantization/stablehlo/quantization_config.pb.h"
#include "tensorflow/compiler/mlir/quantization/tensorflow/cc/run_passes.h"
#include "xla/mlir_hlo/mhlo/transforms/passes.h"
#include "tsl/platform/errors.h"

namespace mlir::quant::stablehlo {

)

cc_library(
    name = "util",
    srcs = [
        "util.cc",
    ],
    hdrs = [
        "util.h",
    ],
    deps = [
        "//tensorflow/compiler/mlir/lite:tensorflow_lite",
        "//tensorflow/compiler/mlir/tensorflow",
        "@com_google_absl//absl/algorithm:container",
        "@llvm-project//llvm:Support",
        "@llvm-project//mlir:ArithDialect",
        "@llvm-project//mlir:IR",

#include "tensorflow/compiler/mlir/tensorflow/dialect_registration.h"
#include "tensorflow/compiler/mlir/tensorflow/translate/export_graphdef.h"
#include "tensorflow/compiler/mlir/tensorflow/translate/mlir_roundtrip_flags.h"
#include "tensorflow/compiler/mlir/tensorflow/translate/tf_mlir_translate.h"
#include "tensorflow/compiler/mlir/tensorflow/translate/tf_mlir_translate_cl.h"