See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/

// Generated by the tf_library build rule.  DO NOT EDIT!
//
// This file contains a test and benchmark for the function generated by
// tfcompile.  All tokens of the form `{{TFCOMPILE_*}}` must be rewritten to
// real values before this file can be compiled.

// Generated by the tf_library build rule.  DO NOT EDIT!
//
// This file contains the main function and logic for benchmarking code
// generated by tfcompile.  All tokens of the form `{{TFCOMPILE_*}}` must be
// rewritten to real values before this file can be compiled.
//
//    TFCOMPILE_HEADER    : Path to the header file generated by tfcompile.
//    TFCOMPILE_CPP_CLASS : Name of the C++ class generated by tfcompile.
//

See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/

// Generated by the tf_library build rule.  DO NOT EDIT!
//
// This file contains a test and benchmark for the function generated by
// tfcompile.  All tokens of the form `{{TFCOMPILE_*}}` must be rewritten to
// real values before this file can be compiled.

  flags.out_metadata_object = "out_helper.o";
  flags.out_header = "out.h";
  flags.entry_point = "entry";
  flags.debug_info_path_begin_marker = "";

  // Note that tfcompile.bzl's tf_library macro sets fast math flags as that is
  // generally the preferred case.
  std::vector<tensorflow::Flag> flag_list;
  AppendMainFlags(&flag_list, &flags);
  xla::AppendDebugOptionsFlags(&flag_list);

load("@llvm-project//mlir:tblgen.bzl", "gentbl_cc_library", "td_library")

package(
    # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"],
    licenses = ["notice"],
)

td_library(
    name = "mlrt_td_files",
    srcs = [
        "mlrt_dialect.td",
        "mlrt_ops.td",
    ],
    includes = ["."],
    visibility = [
        # copybara:uncomment "//learning/brain/tfrt/mlir:__subpackages__",
    ],

load("@llvm-project//mlir:tblgen.bzl", "gentbl_cc_library", "td_library")

# Note: keep the following lines separate due to the way copybara works
load("//tensorflow:tensorflow.default.bzl", "get_compatible_with_portable")

package(
    # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"],
    licenses = ["notice"],
)

cc_library(
    name = "tfrt_fallback_opdefs",
    srcs = [

load("@llvm-project//mlir:tblgen.bzl", "gentbl_cc_library", "td_library")
load("//tensorflow:tensorflow.bzl", "tf_cc_test")
load("//tensorflow:tensorflow.default.bzl", "get_compatible_with_portable")
load("//tensorflow/core/platform:rules_cc.bzl", "cc_library")

package(
    # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"],
    # By default, these targets should only be used within the quantization library.
    default_visibility = [

    ],
    licenses = ["notice"],
)

td_library(
    name = "lift_as_function_call_td_files",
    srcs = [
        "lift_as_function_call.td",
    ],
    compatible_with = get_compatible_with_portable(),
    deps = [
        "@llvm-project//mlir:FuncTdFiles",
    ],
)

cc_library(
    name = "lift_as_function_call",
    srcs = ["lift_as_function_call.cc"],

load("@llvm-project//mlir:tblgen.bzl", "gentbl_cc_library", "td_library")
load("//tensorflow:tensorflow.default.bzl", "get_compatible_with_portable")
load("//tensorflow/core/platform:rules_cc.bzl", "cc_library")

package(
    # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"],
    default_visibility = [
        "//tensorflow/compiler/mlir/tensorflow:__pkg__",
        "//tensorflow/compiler/mlir/tfrt:__subpackages__",
    ],

load("@llvm-project//mlir:tblgen.bzl", "gentbl_cc_library", "td_library")
load("//tensorflow:tensorflow.default.bzl", "get_compatible_with_portable")
load("//tensorflow/core/platform:rules_cc.bzl", "cc_library")

package(
    # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"],
    default_visibility = [
        ":friends",
    ],
    licenses = ["notice"],
)

package_group(
    name = "friends",
    packages = [