],
)

gen_op_libraries(
    name = "pad_ops",
    src = "ops_defs.py",
    deps = [
        "//tensorflow:tensorflow_py",
        "//tensorflow/python/ops:array_ops_gen",
        "//tensorflow/python/platform:flags",
        "@absl_py//absl:app",
    ],
)

tf_py_strict_test(
    name = "pad_ops_test",
    size = "medium",
    srcs = ["pad_ops_test.py"],
    data = [":pad_ops_mlir"],

        "@llvm-project//llvm:FileCheck",
        "@llvm-project//llvm:not",
    ],
)

# Bundle together all the debug info files that are used by the tests.
filegroup(
    name = "debug_info_files",
    srcs = glob(
        [
            "**/*.debug",
        ],
    ),

          {{"two"},
           "Const",
           {},
           {{"value", test::AsScalar<int32>(2)}, {"dtype", DT_INT64}}},
          {{"scale"},
           "Cast",
           {"two"},
           {{"SrcT", DT_INT64}, {"DstT", DT_FLOAT}}},
          {{"y"}, "Mul", {"x", "scale"}, {{"T", DT_FLOAT}}},
      });

  tensorflow::set_tf2_execution(true);
  FunctionDefLibrary flib;
  *flib.add_function() = fd;

	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)
}

gen_op_libraries(
    name = "test_ops",
    src = "ops_defs.py",
    deps = [
        "//tensorflow:tensorflow_py",
        "//tensorflow/python/framework:dtypes",
        "//tensorflow/python/ops:array_ops_gen",
        "//tensorflow/python/platform:flags",
        "@absl_py//absl:app",
    ],
)

tf_py_strict_test(
    name = "test_ops_test",
    size = "small",
    srcs = ["test_ops_test.py"],

    "@com_google_absl//absl/types:optional",
]

# Linked by tensorflow core, without registration of jit compilation passes.
cc_library(
    name = "xla_ops_no_jit_rewrite_registration",
    srcs = ["xla_ops.cc"],
    hdrs = ["xla_ops.h"],
    deps = XLA_OPS_DEPS + [
        "//tensorflow/compiler/jit:device_compilation_cache",
        "//tensorflow/compiler/jit:device_compilation_profiler",

        return addToCollection(dest, false, src);
    }

    @Deprecated
    public static <V, T extends Collection<? super V>> T addToCollection(T dest, boolean failOnNull, Iterable<? extends V>... srcs) {
        for (Iterable<? extends V> src : srcs) {
            for (V v : src) {
                if (failOnNull && v == null) {

				f.fe.Func().SetWBPos(pos)
				nWBops--
			case OpMoveWB:
				dst := w.Args[0]
				src := w.Args[1]
				if isVolatile(src) {
					for _, c := range volatiles {
						if src == c.src {
							src = c.tmp
							break
						}
					}
				}
				typ := reflectdata.TypeLinksym(w.Aux.(*types.Type))
				// moveWB(&typ, dst, src)
				taddr := b.NewValue1A(pos, OpAddr, b.Func.Config.Types.Uintptr, typ, sb)

        given:
        app.sources.writeToSourceDir(file('src/main/cpp'))
        app.greeter.headers.writeToSourceDir(file('src/main/headers'))
        app.sum.headers.writeToSourceDir(file('src/sumHeaders/foo'))

        file("src/main/cpp/main.cpp").text = file("src/main/cpp/main.cpp").text.replace("sum.h", "foo/sum.h")
        file("src/main/cpp/sum.cpp").text = file("src/main/cpp/sum.cpp").text.replace("sum.h", "foo/sum.h")

        return addToCollection(dest, false, src);
    }

    @Deprecated
    public static <V, T extends Collection<? super V>> T addToCollection(T dest, boolean failOnNull, Iterable<? extends V>... srcs) {
        for (Iterable<? extends V> src : srcs) {
            for (V v : src) {
                if (failOnNull && v == null) {