# For more information, see: https://github.com/kubernetes/kubernetes/pull/91452
BIN.linux = pause
BIN.windows = pause wincat
BIN := ${BIN.${OS}}
SRCS.linux = linux/pause.c
SRCS.windows = windows/pause.c
SRCS := ${SRCS.${OS}}

EXTENSION.linux =
EXTENSION.windows = .exe
EXTENSION := ${EXTENSION.${OS}}

# The manifest command is still experimental as of Docker 18.09.3

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

td_library(
    name = "QuantizationOpsTdFiles",
    srcs = [
        "QuantOps.td",
        "QuantOpsBase.td",
    ],
    compatible_with = get_compatible_with_portable(),
    deps = [
        "@llvm-project//mlir:InferTypeOpInterfaceTdFiles",

    default_visibility = [":friends"],
    licenses = ["notice"],
)

package_group(
    name = "friends",
    packages = ["//tensorflow/..."],
)

tf_cuda_library(
    name = "mlir_c_api",
    srcs = [
        "c_api_unified_experimental_mlir.cc",
    ],
    copts = tf_copts(),
    deps = [
        "//tensorflow/c:c_api",
        "//tensorflow/c:tensor_interface",
        "//tensorflow/c:tf_status_helper",

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

td_library(
    name = "tensorflow_tfrt_ops_td_files",
    srcs = [
        "tfrt_ops.td",
    ],
    compatible_with = get_compatible_with_portable(),
    deps = [
        "//tensorflow/compiler/mlir/tensorflow:tensorflow_ops_td_files",

    default_visibility = [
        ":internal_visibility_allowlist_package",
        "//tensorflow:__pkg__",
    ],
    licenses = ["notice"],
)

cc_library(
    name = "tf_to_stablehlo",
    srcs = [
        "tf_to_stablehlo.cc",
    ],
    hdrs = [
        "tf_to_stablehlo.h",
    ],
    compatible_with = get_compatible_with_portable(),
    deps = [

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

cc_library(
    name = "utils",
    srcs = [
        "utils.cc",
    ],
    hdrs = [
        "utils.h",
    ],
    deps = [
        "//tensorflow/compiler/mlir/lite:flatbuffer_translate_lib",
        "//tensorflow/compiler/mlir/lite:tensorflow_lite",

    default_visibility = [
        "//visibility:public",
    ],
    licenses = ["notice"],  # Apache 2.0
)

cc_library(
    name = "example_hardware",
    srcs = ["example_hardware.cc"],
    hdrs = ["example_hardware.h"],
    deps = [
        "//tensorflow/compiler/mlir/lite:tensorflow_lite",
        "//tensorflow/compiler/mlir/lite/experimental/tac:device_transform_patterns",

        "notap",
    ],
    visibility = ["//visibility:public"],
    deps = [":windows_filesystem_impl"],
)

# The real implementation of the filesystem.
cc_library(
    name = "windows_filesystem_impl",
    srcs = ["windows_filesystem.cc"],
    copts = get_win_copts(),
    tags = [
        "manual",
        "nobuilder",
        "notap",
    ],
    deps = ["//tensorflow/c/experimental/filesystem:filesystem_interface"],

	Parse(usage func()) []string
}

// A Fetcher reads and returns the profile named by src, using
// the specified duration and timeout. It returns the fetched
// profile and a string indicating a URL from where the profile
// was fetched, which may be different than src.
type Fetcher interface {
	Fetch(src string, duration, timeout time.Duration) (*profile.Profile, string, error)
}