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__",
    ],

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 = [

load("@llvm-project//mlir:tblgen.bzl", "gentbl_cc_library", "td_library")

# Note: keep the following lines separate due to the way copybara works
load("//tensorflow:tensorflow.default.bzl", "get_compatible_with_portable")

package(
    # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"],
    licenses = ["notice"],
)

cc_library(
    name = "tfrt_fallback_opdefs",
    srcs = [

load("@llvm-project//mlir:tblgen.bzl", "gentbl_cc_library", "td_library")
load("//tensorflow:tensorflow.default.bzl", "get_compatible_with_portable")

package(
    # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"],
    default_visibility = ["//visibility:public"],
    licenses = ["notice"],
)

td_library(
    name = "QuantizationOpsTdFiles",
    srcs = [
        "QuantOps.td",
        "QuantOpsBase.td",
    ],

load("@llvm-project//mlir:tblgen.bzl", "gentbl_cc_library", "td_library")
load("//tensorflow:tensorflow.bzl", "tf_cc_test")
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"],
    # By default, these targets should only be used within the quantization library.
    default_visibility = [

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 = [
        "//tensorflow/compiler/mlir/tensorflow:__pkg__",
        "//tensorflow/compiler/mlir/tfrt:__subpackages__",
    ],

    ],
    licenses = ["notice"],
)

td_library(
    name = "lift_as_function_call_td_files",
    srcs = [
        "lift_as_function_call.td",
    ],
    compatible_with = get_compatible_with_portable(),
    deps = [
        "@llvm-project//mlir:FuncTdFiles",
    ],
)

cc_library(
    name = "lift_as_function_call",
    srcs = ["lift_as_function_call.cc"],

load("@llvm-project//mlir:tblgen.bzl", "gentbl_cc_library", "td_library")
load("//tensorflow:strict.default.bzl", "py_strict_binary")

# Placeholder: load py_proto_library
load("//tensorflow:tensorflow.bzl", "tf_cc_binary")
load("//tensorflow:tensorflow.default.bzl", "get_compatible_with_portable")
load("//tensorflow/compiler/mlir/quantization/tensorflow:internal_visibility_allowlist.bzl", "internal_visibility_allowlist")

    ],
)

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 = [