dst_saved_model_path: str,
    config: qc.QuantizationConfig,
) -> None:
  """Quantizes a saved model.

  Args:
    src_saved_model_path: Path to the directory for the source SavedModel.
    dst_saved_model_path: Path to the directory for the destination SavedModel.
    config: Quantization configuration.

  Raises:
    ValueError: When `config` was not configured for static-range PTQ
    single representative dataset.
  """

// SavedModel proto filename prefix.
inline constexpr char kSavedModelFilenamePrefix[] = "saved_model";
// SavedModel proto filename.
inline constexpr char kSavedModelFilenamePb[] = "saved_model.pb";

// SavedModel chunked proto filename.
inline constexpr char kSavedModelFilenameCpb[] = "saved_model.cpb";

// SavedModel text format proto filename.
inline constexpr char kSavedModelFilenamePbTxt[] = "saved_model.pbtxt";

#include <vector>

#include "tensorflow/c/experimental/saved_model/public/saved_model_api.h"
#include "tensorflow/cc/experimental/base/public/runtime.h"
#include "tensorflow/cc/experimental/base/public/status.h"
#include "tensorflow/cc/saved_model/experimental/public/concrete_function.h"
#include "tensorflow/cc/saved_model/experimental/public/concrete_function_list.h"
#include "tensorflow/cc/saved_model/experimental/public/signature_def_function.h"

# Tensorflow C SavedModel API

## Overview

These are the new experimental C SavedModel APIs for loading and running
SavedModels in a TF2-idiomatic fashion. See
[RFC 207](https://github.com/tensorflow/community/pull/207) for additional
context.

The directory structure is as follows:

```none
saved_model/

  public/

  internal/

  core/

```

## saved_model/public

# SavedModel Image Format

Everything related to the SavedModel Image format belongs in this directory.
If you are a TensorFlow Python user, you can try this format by setting the
`experimental_image_format` option:

```
tf.savedmodel.save(
    model, path,
    options=tf.saved_model.SaveOptions(experimental_image_format=True)
)
```

When this option is enabled, exported SavedModels with proto size > 2GB will

#RUN: tf-mlir-translate --savedmodel-signaturedefs-to-mlir-lite -tf-savedmodel-tags=serve,tpu %p | FileCheck %s

# Test importing a saved model with 2 signatures that are using a same
# BatchFunction Op, which references to a same inference_func from graph_def
# library. The result should be that both signatures uses the same
# BatchFunction Op (the shared_name is the same) and the same copy of
# inference_func.

# CHECK: f = @inference_func[[post_fix:[^,]*]]

#include "tensorflow/cc/saved_model/bundle_v2.h"

#include <memory>
#include <string>
#include <utility>

#include "absl/container/flat_hash_set.h"
#include "absl/log/log.h"
#include "absl/status/status.h"
#include "tensorflow/cc/saved_model/constants.h"
#include "tensorflow/cc/saved_model/fingerprinting.h"
#include "tensorflow/cc/saved_model/metrics.h"
#include "tensorflow/cc/saved_model/reader.h"

namespace tfrt {
class CoreRuntime;
}

namespace mlir {
class ModuleOp;
}

namespace tensorflow {

// TFRTSavedModelSignatureInfo contains the metadata for a signature in the
// savedmodel such as function name, inputs/outputs' names and types. This can
// be used to retrieve these information in a tf_saved_model module.
struct TFRTSavedModelSignatureInfo {
  llvm::StringRef func_name;

See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/

#include "tensorflow/compiler/mlir/tfrt/saved_model/saved_model.h"

#include <utility>

#include "llvm/ADT/STLFunctionalExtras.h"
#include "llvm/ADT/SmallVector.h"
#include "llvm/ADT/StringRef.h"
#include "mlir/Dialect/Func/IR/FuncOps.h"  // from @llvm-project

          " }. To inspect available tag-sets in the SavedModel, please "
          "use the SavedModel CLI: `saved_model_cli`"));
}

// Reads the SavedModel proto from saved_model.pb in `export_dir`.
// Returns a failure status when the SavedModel file does not exist.
Status ReadSavedModel(absl::string_view export_dir,
                      SavedModel* saved_model_proto) {
  LOG(INFO) << "Reading SavedModel from: " << export_dir;

  if (IS_OSS) {