"""Build macro that compiles a TensorFlow graph into a cc_library.

To use from your BUILD file, add the following line to load the macro:

load("//tensorflow/compiler/aot:tfcompile.bzl", "tf_library")

Then call the macro like this:

tf_library(
    name = "test_graph_tfmatmul",
    config = "test_graph_tfmatmul.config.pbtxt",
    cpp_class = "MatMulComp",
    graph = ":test_graph_tfmatmul.pb",
)
"""

load(

            # expand the "required by all tf_library targets" list in tfcompile.bzl.
            include_standard_runtime_deps = False,
            mlir_components = mlir_component,
            tags = [
                "manual",
                "no_mac",  # TODO(b/228273415)
            ],
        ),
        tf_library(
            name = "test_graph_tfadd_with_ckpt" + suffix,

# tfcompile.bzl correctly handles usage from outside of the package that it is
# defined in.

# A simple test of tf_library from a text protobuf, to enable benchmark_test.
# This test uses an incompleted graph with a node that is not defined. The
# compilation works because the undefined node is a feed node.
tf_library(
    name = "test_graph_tfadd",
    testonly = 1,
    config = "test_graph_tfadd.config.pbtxt",

[!GOOS:darwin] skip
[!cgo] skip

! go build
stderr 'invalid flag in #cgo LDFLAGS: -lto_library'

-- go.mod --
module ldflag

-- main.go --
package main

// #cgo CFLAGS: -flto
// #cgo LDFLAGS: -lto_library bad.dylib
import "C"

// 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.
//

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__",
    ],

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.

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.

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 = [

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 = ["//visibility:public"],
    licenses = ["notice"],
)

td_library(
    name = "QuantizationOpsTdFiles",
    srcs = [