func Merge(srcs []*Profile) (*Profile, error) {
	if len(srcs) == 0 {
		return nil, fmt.Errorf("no profiles to merge")
	}
	p, err := combineHeaders(srcs)
	if err != nil {
		return nil, err
	}

	pm := &profileMerger{
		p:         p,
		samples:   make(map[sampleKey]*Sample, len(srcs[0].Sample)),
		locations: make(map[locationKey]*Location, len(srcs[0].Location)),

    ] + internal_visibility_allowlist(),
)

py_strict_binary(
    name = "gen_quantized_function_library",
    srcs = ["gen_quantized_function_library.py"],
    deps = [
        "@absl_py//absl:app",
        "@absl_py//absl/flags",
    ],
)

genrule(
    name = "quantized_function_library",
    srcs = [
        "passes/quantized_function_library_uniform_quantized.mlir",
        "passes/quantized_function_library.mlir",

			base.emailAddresses = opt.emailAddresses
		}
		if opt.uris != nil {
			base.uris = opt.uris
		}
	}
	return base
}

func csrWithOpts(base pemOptions, overlays ...pemOptions) []byte {
	opts := overlayPEMOptions(append([]pemOptions{base}, overlays...)...)
	uris := make([]*url.URL, len(opts.uris))
	for i, s := range opts.uris {
		u, err := url.ParseRequestURI(s)
		if err != nil {
			panic(err)

    ],
)

cc_library(
    name = "legalize_utils",
    srcs = ["utils.cc"],
    hdrs = ["utils.h"],
    deps = [
        "@llvm-project//llvm:Support",
        "@llvm-project//mlir:IR",
        "@local_xla//xla/mlir_hlo",
    ],
)

cc_library(
    name = "test_utils",
    testonly = True,
    srcs = ["test_utils.cc"],
    hdrs = ["test_utils.h"],
    deps = [

        ":xla_cluster_formation",
        "@llvm-project//mlir:FuncDialect",
        "@llvm-project//mlir:IR",
        "@llvm-project//mlir:Pass",
    ],
)

cc_library(
    name = "verify_clustering_pass",
    srcs = [
        "verify_clustering_pass.cc",
    ],
    deps = [
        ":clustering_passes_inc_gen",
        "//tensorflow/compiler/mlir/tensorflow",
        "//tensorflow/compiler/mlir/tensorflow:attribute_utils",

tf_py_strict_test(
    name = "pywrap_quantize_model_test",
    srcs = [
        "pywrap_quantize_model_test.py",
    ],
    deps = [
        ":py_function_lib_py",
        ":pywrap_quantize_model",
        "//tensorflow:tensorflow_py",
        "//tensorflow/python/platform:client_testlib",
    ],
)

pytype_strict_library(
    name = "save_model",
    srcs = [
        "save_model.py",
    ],
    deps = [

cc_library(
    name = "string_util",
    srcs = ["utils/string_util.cc"],
    hdrs = ["utils/string_util.h"],
    deps = [
        "@com_google_absl//absl/strings",
        "@llvm-project//llvm:Support",
        "@llvm-project//mlir:FuncDialect",
        "@llvm-project//mlir:IR",
        "@llvm-project//mlir:Pass",
    ],
)

cc_library(
    name = "fake_session",
    srcs = ["utils/fake_session.cc"],

func Merge(srcs []*Profile) (*Profile, error) {
	if len(srcs) == 0 {
		return nil, fmt.Errorf("no profiles to merge")
	}
	p, err := combineHeaders(srcs)
	if err != nil {
		return nil, err
	}

	pm := &profileMerger{
		p:         p,
		samples:   make(map[sampleKey]*Sample, len(srcs[0].Sample)),
		locations: make(map[locationKey]*Location, len(srcs[0].Location)),

    ],
)

cc_library(
    name = "mlir_pass_instrumentation",
    srcs = ["mlir_pass_instrumentation.cc"],
    hdrs = ["mlir_pass_instrumentation.h"],
    deps = [
        "//tensorflow/core/platform:logging",
        "@llvm-project//mlir:Pass",
    ],
)

tf_cc_test(
    name = "mlir_pass_instrumentation_test",
    srcs = ["mlir_pass_instrumentation_test.cc"],
    deps = [
        ":mlir_pass_instrumentation",

)

cc_library(
    name = "utils",
    srcs = [
        "utils/utils.cc",
    ],
    hdrs = [
        "utils/utils.h",
    ],
    deps = [
        ":tfr",
        "@llvm-project//llvm:Support",
        "@llvm-project//mlir:IR",
        "@llvm-project//mlir:Support",
    ],
)

cc_library(
    name = "passes",
    srcs = [
        "passes/canonicalize.cc",