hdrs = ["simple_hardware.h"],
    deps = [
        ":target_hardware",
        "//tensorflow/compiler/mlir/lite:cost_estimators",
        "//tensorflow/compiler/mlir/lite:tensorflow_lite",
        "//tensorflow/compiler/mlir/lite/experimental/tac:common",
        "@llvm-project//llvm:Support",
    ],
)

cc_library(
    name = "all-target-hardwares",
    deps = [
        ":cpu_hardware",
        ":gpu_hardware",

)

cc_library(
    name = "runtime",
    hdrs = [
        "runtime.h",
    ],
    deps = [
        ":status",
        "//tensorflow/c/eager:c_api",
        "//tensorflow/c/eager:c_api_experimental",
    ],
)

cc_library(
    name = "runtime_builder",
    hdrs = [
        "runtime_builder.h",
    ],
    deps = [
        ":runtime",
        ":status",
        "//tensorflow/c/eager:c_api",

    visibility = ["//visibility:public"],
    deps = [":gcs_filesystem_impl"],
)

# The real implementation of the filesystem.
cc_library(
    name = "gcs_filesystem_impl",
    srcs = ["gcs_filesystem.cc"],
    hdrs = ["gcs_filesystem.h"],
    copts = select({
        "//conditions:default": [],
        "//tensorflow:windows": get_win_copts(),
    }),
    deps = [
        ":expiring_lru_cache",
        ":gcs_helper",

plugins {
    id 'java'
}

// tag::file-deps[]
repositories {
    flatDir {
        name = 'libs dir'
        dir file('libs')  // <1>
    }
}

dependencies {
    implementation files('libs/our-custom.jar')  // <2>
    implementation ':awesome-framework:2.0'  // <3>
    implementation ':utility-library:1.0'  // <3>
}
// end::file-deps[]

// tag::retrieve-deps[]
tasks.register('retrieveRuntimeDependencies', Copy) {

    deps = [
        ":common_v1",
        "//tensorflow:tensorflow_py",
    ],
)

py_strict_binary(
    name = "shapes_for_arguments",
    srcs = ["shapes_for_arguments.py"],
    deps = [
        ":common",
        "//tensorflow:tensorflow_py",
    ],
)

py_strict_binary(
    name = "control_flow_upgrade_legacy_v1",
    srcs = ["control_flow_upgrade_legacy_v1.py"],
    deps = [

        "concrete_function.h",
    ],
    deps = [
        ":function_metadata",
        "//tensorflow/c/eager:c_api",
        "//tensorflow/c/experimental/saved_model/public:concrete_function",
        "//tensorflow/cc/experimental/base/public:status",
    ],
)

cc_library(
    name = "concrete_function_list",
    hdrs = [
        "concrete_function_list.h",
    ],
    deps = [
        ":concrete_function",

    ],
    compatible_with = get_compatible_with_portable(),
    deps = [
        "@llvm-project//mlir:FuncTdFiles",
    ],
)

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

go get
go list -deps -tags usem1

# Using a new enough release reports the error after module load and suggests 'go mod tidy'
env TESTGO_VERSION=go1.21.2
cp go.mod.orig go.mod
! go list -deps -tags usem1
stderr 'updates to go.mod needed'
stderr 'go mod tidy'
go mod tidy
go list -deps -tags usem1

# go get also works
cp go.mod.orig go.mod
! go list -deps -tags usem1
stderr 'updates to go.mod needed'
stderr 'go mod tidy'

        "//tensorflow:internal",
    ],
    deps = [
        "//tensorflow/c/eager:abstract_context",
        "//tensorflow/c/eager:gradients_internal",
    ],
)

cc_library(
    name = "math_grad",
    srcs = ["math_grad.cc"],
    hdrs = [
        "math_grad.h",
    ],
    visibility = [
        "//tensorflow:internal",
    ],
    deps = [
        "//tensorflow/c/eager:abstract_tensor_handle",

)

cc_library(
    name = "tf_op_quant_spec",
    srcs = [
        "tf_op_quant_spec.cc",
    ],
    hdrs = ["tf_op_quant_spec.h"],
    compatible_with = get_compatible_with_portable(),
    deps = [
        "//tensorflow/compiler/mlir/quantization/common/quantization_lib",
        "//tensorflow/compiler/mlir/quantization/tensorflow:quantization_options_proto_cc",
        "//tensorflow/compiler/mlir/tensorflow",