var (
	path, name string
	value      uint64
	set, list  bool
)

func getxattr(path, name string) (uint64, error) {
	buf, err := xattr.LGet(path, name)
	if err != nil {
		return 0, err
	}

	return binary.LittleEndian.Uint64(buf[:8]), nil
}

func listxattr(path string) ([]string, error) {
	return xattr.LList(path)
}

func setxattr(path, name string, value uint64) error {
	data := make([]byte, 8)

        // Test setAttr
        tag.setAttr("data-role", "button");
        assertTrue(tag.toString().contains("attrName=data-role"));
        assertTrue(tag.toString().contains("attrValue=button"));

        // Test overwriting values
        tag.setId("new-id");
        tag.setCss("new-class");
        tag.setAttr("role", "link");

_initializers = _KerasLazyLoader(
    globals(), submodule="initializers", name="initializers")
setattr(_current_module, "losses", _losses)
setattr(_current_module, "metrics", _metrics)
setattr(_current_module, "optimizers", _optimizers)
setattr(_current_module, "initializers", _initializers)


# Do an eager load for Keras' code so that any function/method that needs to

     * Sets a custom attribute name-value pair that this pruned tag should match.
     *
     * @param name the attribute name to match
     * @param value the attribute value to match
     */
    public void setAttr(final String name, final String value) {
        attrName = name;
        attrValue = value;
    }

    @Override
    public String toString() {

  import tensorflow_io_gcs_filesystem as _tensorflow_io_gcs_filesystem

# Lazy-load Keras v1.
_tf_uses_legacy_keras = (
    _os.environ.get("TF_USE_LEGACY_KERAS", None) in ("true", "True", "1"))
setattr(_current_module, "keras", _KerasLazyLoader(globals(), mode="v1"))
_module_dir = _module_util.get_parent_dir_for_name("keras._tf_keras.keras")
_current_module.__path__ = [_module_dir] + _current_module.__path__

  ASSERT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_);

  // Get attr
  AttrValue read_attr;
  GetAttr("test_attr_name", &read_attr);
  ASSERT_EQ(attr.DebugString(), read_attr.DebugString());

  // Retrieve the same attr after save/restore
  Reincarnate();
  AttrValue read_attr2;
  GetAttr("test_attr_name", &read_attr2);
  ASSERT_EQ(attr.DebugString(), read_attr2.DebugString());
}

pkg syscall (linux-386), func Getxattr(string, string, []uint8) (int, error)
pkg syscall (linux-386), func Listxattr(string, []uint8) (int, error)
pkg syscall (linux-386), func Pipe2([]int, int) error
pkg syscall (linux-386), func PtraceSyscall(int, int) error
pkg syscall (linux-386), func Removexattr(string, string) error
pkg syscall (linux-386), func Setxattr(string, string, []uint8, int) error

pkg syscall (linux-arm-cgo), func GetsockoptUcred(int, int, int) (*Ucred, error)
pkg syscall (linux-arm-cgo), func Gettid() int
pkg syscall (linux-arm-cgo), func Getxattr(string, string, []uint8) (int, error)
pkg syscall (linux-arm-cgo), func InotifyAddWatch(int, string, uint32) (int, error)
pkg syscall (linux-arm-cgo), func InotifyInit() (int, error)

    (explicit) kernel methods in TensorFlow.

## Bug Fixes and Other Changes

*   In python, `Operation.get_attr` on type attributes returns the Python DType
    version of the type to match expected get_attr documentation rather than the
    protobuf enum.
*   tensorflow/contrib/rnn undergoes RNN cell variable renaming for consistency