class TensorHandleConvertible {
 public:
  explicit TensorHandleConvertible(ImmediateTensorHandlePtr handle)
      : handle_(std::move(handle)) {}

  ImmediateExecutionTensorHandle* handle() { return handle_.get(); }

  // TensorHandleConvertible is movable, but not copyable.
  TensorHandleConvertible(TensorHandleConvertible&& other) = default;

 private:
  std::unique_ptr<StaticDeviceMgr> device_mgr_;
  EagerContextPtr ctx_;
};

class DummyCapture : public TensorHandleConvertible {
 public:
  DummyCapture(ImmediateExecutionContext* ctx, int8_t value)
      : TensorHandleConvertible(
            testing::CreateTensorHandle(ctx, DT_FLOAT, {2, 4}, value)) {}
};

FunctionDef FuncDefWithNumInputsOutputs(int num_inputs, int num_outputs) {

// and offer a subclass of TensorHandleConvertible. Note that similar to
// the python's eager mode logic, we bypass calling the "Const" op:
// https://github.com/tensorflow/tensorflow/blob/1c064ab76064c58e54261b805027474885a1534d/tensorflow/python/framework/constant_op.py#L301
class Constant : public TensorHandleConvertible {
 public:
  static Status Create(ImmediateExecutionContext* ctx,

                                   TFConcreteFunction* initialize,
                                   TFConcreteFunction* destroy_resource,
                                   ImmediateTensorHandlePtr resource_handle)
    : TensorHandleConvertible(std::move(resource_handle)),
      device_(device),
      create_resource_(create_resource),
      initialize_(initialize),
      destroy_resource_(destroy_resource) {}

#include "tensorflow/cc/saved_model/constants.h"
#include "tensorflow/core/platform/errors.h"
#include "tensorflow/core/platform/path.h"

namespace tensorflow {

Asset::Asset(ImmediateTensorHandlePtr handle)
    : TensorHandleConvertible(std::move(handle)) {}

Status Asset::Create(ImmediateExecutionContext* ctx,
                     const std::string& saved_model_dir,
                     const std::string& asset_filename,

#include "tensorflow/core/framework/types.pb.h"
#include "tensorflow/core/platform/status.h"
#include "tensorflow/core/protobuf/saved_object_graph.pb.h"

namespace tensorflow {

class Variable : public TensorHandleConvertible {
 public:
  // Creates an uninitialized resource variable. Note that a caller must
  // call "assign" to associate a value with the variable.
  static Status CreateUninitialized(

Status LoadTFConcreteFunction(
    const SavedConcreteFunction& saved_concrete_function,
    const FunctionDef* function_def,
    const std::unordered_map<int, std::unique_ptr<TensorHandleConvertible>>&
        captured_objects,
    ImmediateExecutionContext* ctx, std::unique_ptr<TFConcreteFunction>* out);

// Flattens `signature` into a vector of TensorSpecProto pointers back into

  return Status();
}

Status LoadTFConcreteFunction(
    const SavedConcreteFunction& saved_concrete_function,
    const FunctionDef* function_def,
    const std::unordered_map<int, std::unique_ptr<TensorHandleConvertible>>&
        captured_objects,
    ImmediateExecutionContext* ctx, std::unique_ptr<TFConcreteFunction>* out) {
  TF_RETURN_IF_ERROR(ValidateSavedFunctionCompatibleWithFunctionDef(