)

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 = [
        "//tensorflow/compiler/mlir/quantization/stablehlo:quantization_config_proto_cc",
        "@com_google_absl//absl/status:statusor",

)

cc_library(
    name = "tac-opt_lib",
    testonly = True,
    deps = [
        ":target_aware_conversion",
        "//tensorflow/compiler/mlir:tf_mlir_opt_main",
    ],
    alwayslink = 1,
)

# Binary with no hardwares linked.
tf_cc_binary(
    name = "tac-opt",
    testonly = True,
    deps = [
        ":tac-opt_lib",
    ],
)

# Binary with all backends linked.

	sysStats  sysStatsAggregate
	cpuStats  cpuStatsAggregate
	gcStats   gcStatsAggregate
}

// ensure populates statistics aggregates determined by deps if they
// haven't yet been populated.
func (a *statAggregate) ensure(deps *statDepSet) {
	missing := deps.difference(a.ensured)
	if missing.empty() {
		return
	}
	for i := statDep(0); i < numStatsDeps; i++ {
		if !missing.has(i) {
			continue
		}

    hdrs = [
        "tf_mlir_translate_cl.h",
    ],
    deps = [
        "@llvm-project//llvm:Support",
    ],
    alwayslink = 1,
)

cc_library(
    name = "export_graphdef",
    srcs = [
        "export_graphdef.cc",
    ],
    hdrs = [
        "export_graphdef.h",
    ],
    visibility = ["//visibility:public"],
    deps = [
        ":export_tf_dialect_op",

        "-Ithird_party",
    ],
    deps = [
        "@llvm-project//llvm:Support",
    ],
    alwayslink = 1,
)

cc_library(
    name = "rename_entrypoint_to_main",
    srcs = [
        "transforms/rename_entrypoint_to_main.cc",
    ],
    hdrs = [
        "transforms/rename_entrypoint_to_main.h",
    ],
    copts = [
        "-Ithird_party",
    ],
    deps = [
        ":stablehlo_util",

    td_file = "passes/bridge/optimize.td",
    deps = [":optimize_td_files"],
)

tf_cc_test(
    name = "convert_tf_quant_to_mhlo_int_test",
    srcs = [
        "passes/bridge/convert_tf_quant_to_mhlo_int_test.cc",
    ],
    tags = ["nomac"],  # TODO(b/297362678): re-enable mac test.
    deps = [
        ":bridge_passes",

    tblgen = "@llvm-project//mlir:mlir-tblgen",
    td_file = "runtime_passes.td",
    deps = [
        "@llvm-project//mlir:PassBaseTdFiles",
    ],
)

cc_library(
    name = "runtime_passes",
    hdrs = [
        "runtime_passes.h",
    ],
    textual_hdrs = [
        "runtime_passes.h.inc",
    ],
    deps = [
        ":runtime_passes_inc_gen",
        ":tpu_merge_variable_with_execute",

    ],
)

cc_library(
    name = "compile_mlir_util_no_tf_dialect_passes",
    srcs = ["compile_mlir_util.cc"],
    hdrs = ["compile_mlir_util.h"],
    visibility = ["//visibility:public"],
    deps = [
        "//tensorflow/compiler/mlir/quantization/stablehlo:bridge_passes",
        "//tensorflow/compiler/mlir/tensorflow",
        "//tensorflow/compiler/mlir/tensorflow:bridge_logger",

        use a tfcompile built with extra dependencies.
      include_standard_runtime_deps: If True, the standard list of
        kernel/runtime deps is added to deps.  If False, deps must contain the
        full set of deps needed by the generated library.
      enable_xla_hlo_profiling: Enable XLA HLO profiling in the generated
        program, and emit metadata that lets us pretty-print the gathered

        "//learning/brain/mlir/bridge:__pkg__",
        "//tensorflow/compiler/mlir/quantization/stablehlo:__pkg__",
        "//tensorflow/compiler/mlir/tfrt/transforms/ifrt:__pkg__",
    ],
    deps = [
        ":device_type_proto_cc",
        "//tensorflow/compiler/jit:flags_headers",
        "//tensorflow/compiler/jit:shape_inference",
        "//tensorflow/compiler/mlir/tensorflow",