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)

        "//platforms/darwinn/compiler:__subpackages__",
        "//tensorflow:__subpackages__",
    ],
    licenses = ["notice"],
)

cc_library(
    name = "quantization_lib",
    srcs = [
        "quantization_driver.cc",
        "quantization_interface.cc.inc",
        "quantization_utils.cc",
    ],
    hdrs = [
        "quantization_driver.h",
        "quantization_interface.h.inc",

    ],
)

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 = [

    : AbstractContext(kTape), parent_ctx_(c), tape_(tape), registry_(registry) {
  // TODO(srbs): Make AbstractContext ref counted.
  // parent_ctx_->Ref();
}
void TapeContext::Release() {
  // TODO(srbs): Change to Unref()
  delete this;
}
TapeContext::~TapeContext() {
  // TODO(srbs): Make AbstractContext ref counted.
  // parent_ctx_->Unref();
}
TapeOperation* TapeContext::CreateOperation() {

        ":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 = [

    default_visibility = [
        "//tensorflow/compiler/mlir/quantization:__subpackages__",
    ],
    licenses = ["notice"],
)

cc_library(
    name = "mlir_dump",
    srcs = ["mlir_dump.cc"],
    hdrs = ["mlir_dump.h"],
    compatible_with = get_compatible_with_portable(),
    deps = [
        "@com_google_absl//absl/log",
        "@com_google_absl//absl/memory",

    default_visibility = [
        "//tensorflow/compiler/mlir/tf2xla/internal:__subpackages__",
    ],
    licenses = ["notice"],
)

cc_library(
    name = "dialect_detection_utils",
    srcs = [
        "dialect_detection_utils.cc",
    ],
    hdrs = [
        "dialect_detection_utils.h",
    ],
    deps = [
        "//tensorflow/compiler/mlir/tensorflow",
        "//tensorflow/core:framework",

filegroup(
    name = "lib_headers",
    srcs = ["parallel_device_lib.h"],
)

filegroup(
    name = "lib_sources",
    srcs = ["parallel_device_lib.cc"],
)

filegroup(
    name = "device_headers",
    srcs = ["parallel_device.h"],
)

filegroup(
    name = "device_sources",
    srcs = ["parallel_device.cc"],
)

filegroup(
    name = "headers",
    srcs = [
        ":device_headers",

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"],