/* Copyright 2016 The TensorFlow Authors. All Rights Reserved.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/

// Functions for getting information about kernels registered in the binary.
#ifndef TENSORFLOW_PYTHON_UTIL_KERNEL_REGISTRY_H_
#define TENSORFLOW_PYTHON_UTIL_KERNEL_REGISTRY_H_

#include "tensorflow/core/framework/graph.pb.h"
#include "tensorflow/core/platform/types.h"

namespace tensorflow {
namespace swig {

// Returns the kernel class name required to execute <node_def> on the device
// type of <node_def.device>, or an empty string if the kernel class is not
// found or the device name is invalid.
string TryFindKernelClass(const string& serialized_node_def);

}  // namespace swig
}  // namespace tensorflow

#endif  // TENSORFLOW_PYTHON_UTIL_KERNEL_REGISTRY_H_