e := new(ElfShdr)
	e.Name = uint32(name)
	e.shnum = elf.SectionIndex(ehdr.Shnum)
	if ehdr.Shnum >= NSECT {
		Errorf(nil, "too many shdrs")
	} else {
		shdr[ehdr.Shnum] = e
		ehdr.Shnum++
	}

	return e
}

func getElfEhdr() *ElfEhdr {
	return &ehdr
}

func elf64writehdr(out *OutBuf) uint32 {
	out.Write(ehdr.Ident[:])
	out.Write16(uint16(ehdr.Type))
	out.Write16(uint16(ehdr.Machine))

    ],
)

cc_library(
    name = "tf_attrtype",
    hdrs = ["tf_attrtype.h"],
    visibility = ["//visibility:public"],
)

cc_library(
    name = "c_api_macros_hdrs",
    hdrs = [
        "c_api_macros.h",
    ],
    visibility = ["//visibility:public"],
)

cc_library(
    name = "c_api_macros",
    hdrs = [
        "c_api_macros.h",
        "c_api_macros_internal.h",
    ],

    ],
    licenses = ["notice"],
)

cc_library(
    name = "types",
    hdrs = ["types.h"],
    compatible_with = get_compatible_with_portable(),
    deps = [],
)

cc_library(
    name = "component",
    hdrs = ["component.h"],
    compatible_with = get_compatible_with_portable(),
    deps = [

    ],
    licenses = ["notice"],
)

cc_library(
    name = "runtime",
    hdrs = [
        "runtime.h",
    ],
    deps = [
        ":status",
        "//tensorflow/c/eager:c_api",
        "//tensorflow/c/eager:c_api_experimental",
    ],
)

cc_library(
    name = "runtime_builder",
    hdrs = [
        "runtime_builder.h",
    ],
    deps = [
        ":runtime",
        ":status",

cc_library(
    name = "grad_testutil",
    testonly = 1,
    srcs = ["gradients/grad_testutil.cc"],
    hdrs = ["gradients/grad_testutil.h"],
    deps = [
        ":grad_op_registry",
        ":ops",
        ":scope",
    ],
)

cc_library_with_android_deps(
    name = "ops",
    srcs = ["framework/ops.cc"],
    hdrs = ["framework/ops.h"],
    android_deps = ["//tensorflow/core:portable_tensorflow_lib"],
    deps = [

        "@llvm-project//mlir:TransformUtils",
        "@llvm-project//mlir:Transforms",
    ],
)

cc_library(
    name = "mlprogram",
    srcs = [
        "mlprogram.cc",
    ],
    hdrs = [
        "mlprogram.h",
    ],
    deps = [
        ":bridge",
        ":tensorflow_passes",
        ":tf_saved_model_passes",
        "//tensorflow/compiler/mlir/tf2xla/internal:clustering_bridge_passes",

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

cc_library(
    name = "gpu_hardware",
    srcs = ["gpu_hardware.cc"],
    hdrs = ["gpu_hardware.h"],
    deps = [
        ":target_hardware",
        "//tensorflow/compiler/mlir/lite:cost_estimators",
        "//tensorflow/compiler/mlir/lite:tensorflow_lite",

        "@local_xla//xla:status_macros",
    ],
)

cc_library(
    name = "mlir_import_options",
    hdrs = ["mlir_import_options.h"],
    visibility = ["//visibility:public"],
)

cc_library(
    name = "translate_lib",
    srcs = ["tf_mlir_translate.cc"],
    hdrs = ["tf_mlir_translate.h"],
    visibility = ["//visibility:public"],
    deps = [
        ":import_model",

    ],
    hdrs = [
        "none.h",
    ],
)

tf_cc_test(
    name = "none_test",
    size = "small",
    srcs = ["none_test.cc"],
    deps = [
        ":none",
        "//tensorflow/core:test",
        "//tensorflow/core:test_main",
        "@com_google_absl//absl/container:flat_hash_set",
    ],
)

cc_library(
    name = "tensor_spec",
    hdrs = [
        "tensor_spec.h",

cc_library(
    name = "abstract_op_attrs",
    hdrs = ["abstract_op_attrs.h"],
    visibility = [
        "//tensorflow:internal",
    ],
    deps = [
        "//tensorflow/core:lib",
        "//tensorflow/core:protos_all_cc",
        "@com_google_absl//absl/container:inlined_vector",
    ],
)

cc_library(
    name = "abstract_operation",
    hdrs = ["abstract_operation.h"],
    visibility = [