#include "tensorflow/compiler/mlir/tensorflow/translate/tf_mlir_translate.h"
#include "tensorflow/core/framework/graph.pb.h"
#include "tensorflow/core/framework/node_def.pb.h"
#include "tensorflow/core/protobuf/meta_graph.pb.h"
#include "tensorflow/core/protobuf/saver.pb.h"
#include "tsl/platform/errors.h"
#include "tsl/platform/statusor.h"

namespace tensorflow {
namespace quantization {
namespace {

#include "tensorflow/core/framework/op.h"
#include "tensorflow/core/framework/op_def.pb.h"
#include "tensorflow/core/framework/op_def_builder.h"
#include "tensorflow/core/framework/types.pb.h"
#include "tensorflow/core/protobuf/meta_graph.pb.h"
#include "tensorflow/core/public/session.h"
#include "tensorflow/lite/c/c_api_types.h"
#include "tensorflow/lite/experimental/remat/metadata_util.h"
#include "tensorflow/lite/python/metrics/converter_error_data.pb.h"

        assumes layers only ever have one positional argument. This assumption
        doesn't hold true before TF 2.4 either, but is more likely to cause
        issues now.
    *   Code that manually enters `keras.backend.get_graph()` before building a
        functional model is no longer needed.
    *   Start enforcing input shape assumptions when calling Functional API
        Keras models. This may potentially break some users, in case there is a

  def _run_model_in_sess(self, model_dir, tags, signature_key, sample_inputs):
    with tensorflow.compat.v1.Session(graph=tensorflow.Graph()) as sess:
      meta_graph = saved_model_loader.load(sess, tags, export_dir=model_dir)
      signature_def = meta_graph.signature_def[signature_key]

      # DumpTensorOp only works in graph mode.
      # Execute the model using session to run DumpTensorOp.
      output_tensor_names = [

#include "tensorflow/core/platform/path.h"
#include "tensorflow/core/platform/protobuf.h"
#include "tensorflow/core/platform/threadpool.h"
#include "tensorflow/core/platform/types.h"
#include "tensorflow/core/protobuf/meta_graph.pb.h"
#include "tensorflow/core/protobuf/saved_object_graph.pb.h"
#include "tensorflow/core/protobuf/saver.pb.h"
#include "tensorflow/core/protobuf/struct.pb.h"