],
)

cc_library(
    name = "grad_ops",
    deps = [
        ":array_grad",
        ":data_flow_grad",
        ":functional_grad",
        ":image_grad",
        ":linalg_grad",
        ":manip_grad",
        ":math_grad",
        ":nn_grad",
        ":resource_variable_grad",
    ],
)

cc_library(
    name = "grad_testutil",
    testonly = 1,

# the API implementation for modular filesystems.
cc_library(
    name = "posix_filesystem_helper",
    srcs = ["posix_filesystem_helper.cc"],
    hdrs = ["posix_filesystem_helper.h"],
    deps = [":copy_file"],
)

# On Linux, we can copy files faster using `sendfile`. But not elsewhere.
# Hence, this private library to select which implementation to use.
cc_library(
    name = "copy_file",
    srcs = select({

    "tf_cc_test",
)
load(
    "//tensorflow/core/platform:rules_cc.bzl",
    "cc_library",
)

package(
    # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"],
    default_visibility = [
        "//tensorflow/cc/experimental/libtf:__subpackages__",
    ],
    licenses = ["notice"],
)

cc_library(
    name = "iostream",
    srcs = [
        "iostream.cc",
    ],
    deps = [

        "//tensorflow/python:__pkg__",
    ],
)

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",

    ],
)

cc_library(
    name = "tac_importer_exporter",
    hdrs = ["tac_importer_exporter.h"],
    deps = [
        "@com_google_absl//absl/status:statusor",
        "@llvm-project//mlir:FuncDialect",
        "@llvm-project//mlir:IR",
    ],
)

cc_library(
    name = "tflite_importer_exporter",
    srcs = ["tflite_import_export.cc"],

        "//tensorflow/compiler/mlir/tensorflow_to_stablehlo:__subpackages__",
    ],
    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 = [

load("//tensorflow:tensorflow.bzl", "tf_cc_test")
load("//tensorflow/core/platform:rules_cc.bzl", "cc_library")

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

cc_library(
    name = "import_model",
    srcs = [
        "import_model.cc",
    ],
    hdrs = [
        "export_graphdef.h",
        "import_model.h",

)
load("//tensorflow/core/platform:rules_cc.bzl", "cc_library")

package(
    # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"],
    default_visibility =
        [
            "//tensorflow/cc/experimental/libtf:__subpackages__",
            "//tensorflow/python/saved_model:__subpackages__",
        ],
    licenses = ["notice"],
)

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

load("@llvm-project//mlir:tblgen.bzl", "gentbl_cc_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:__pkg__",
        "//tensorflow/compiler/mlir/tensorflow/transforms:__pkg__",

load("//tensorflow:tensorflow.bzl", "tf_cc_test")
load("//tensorflow/core/platform:rules_cc.bzl", "cc_library")

package(
    # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"],
    default_visibility = [
        "//tensorflow/compiler/mlir/tf2xla/internal:__subpackages__",
    ],
    licenses = ["notice"],
)

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