namespace tensorflow {
namespace checkpoint {

class TensorSliceReader;

// A wrapper around BundleReader (for V2 checkpoints) and
// checkpoint::TensorSliceReader (for V1), that is more easily SWIG wrapped for
// other languages.
//
// The class currently only interacts with single-slice (i.e., non-partitioned)
// variables.
class CheckpointReader {
 public:

        String field = settings.array().get(SuggestSettings.DefaultKeys.SUPPORTED_FIELDS)[0];

        Map<String, Object> document = new HashMap<>();
        document.put(field, "Sing the Supercalifragilisticexpialidocious for Honorificabilitudinitatibus");
        suggester.indexer().indexFromDocument(new Map[] { document });
        suggester.refresh();

	library. To get the dependency without importing any specific
	symbols, use _ for local and remote.

	Example:
	//go:cgo_import_dynamic _ _ "libc.so.6"

	For compatibility with current versions of SWIG,
	#pragma dynimport is an alias for //go:cgo_import_dynamic.

//go:cgo_dynamic_linker "<path>"

	In internal linking mode, use "<path>" as the dynamic linker

    and [guide](https://www.tensorflow.org/guide/profiler) for usage guidelines.
*   Export C++ functions to Python using `pybind11` as opposed to `SWIG` as a
    part of our
    [deprecation of swig efforts](https://github.com/tensorflow/community/blob/master/rfcs/20190208-pybind11.md).
*   `tf.distribute`:
    *   Support added for global sync `BatchNormalization` by using the newly