chromium/third_party/tflite/src/tensorflow/lite/mutable_op_resolver.h

/* Copyright 2018 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.
==============================================================================*/
#ifndef TENSORFLOW_LITE_MUTABLE_OP_RESOLVER_H_
#define TENSORFLOW_LITE_MUTABLE_OP_RESOLVER_H_

#include <stddef.h>

#include <string>
#include <unordered_map>
#include <utility>
#include <vector>

#include "tensorflow/lite/core/api/op_resolver.h"
#include "tensorflow/lite/core/c/common.h"
#include "tensorflow/lite/schema/schema_generated.h"
#include "tensorflow/lite/util.h"

namespace tflite {

// Some versions of gcc don't support partial specialization in class scope,
// so these are defined in a namescope.
namespace op_resolver_hasher {
template <typename V>
struct ValueHasher { … };

template <>
struct ValueHasher<tflite::BuiltinOperator> { … };

template <typename T>
struct OperatorKeyHasher { … };
}  // namespace op_resolver_hasher

/// An OpResolver that is mutable, also used as the op in gen_op_registration.
/// A typical usage:
///   MutableOpResolver resolver;
///   resolver.AddBuiltin(BuiltinOperator_ADD, Register_ADD());
///   resolver.AddCustom("CustomOp", Register_CUSTOM_OP());
///   InterpreterBuilder(model, resolver)(&interpreter);
class MutableOpResolver : public OpResolver { … };

}  // namespace tflite

#endif  // TENSORFLOW_LITE_MUTABLE_OP_RESOLVER_H_