STT-tensorflow/tensorflow/lite/experimental/resource/resource_base.h
Jared Duke 9eea1b6de5 Use int32_t instead of int32 in resource code
PiperOrigin-RevId: 283781525
Change-Id: I2f3d51fc934ea98a3ef1c3504cb4b4b29a157d5a
2019-12-04 10:21:40 -08:00

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1.4 KiB
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/* Copyright 2019 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_EXPERIMENTAL_RESOURCE_RESOURCE_BASE_H_
#define TENSORFLOW_LITE_EXPERIMENTAL_RESOURCE_RESOURCE_BASE_H_
#include <cstdint>
#include <memory>
#include <unordered_map>
namespace tflite {
namespace resource {
// ResourceBase is an abstract base class for resources.
/// WARNING: Experimental interface, subject to change.
class ResourceBase {
public:
explicit ResourceBase() {}
virtual ~ResourceBase() {}
// Returns true if it is initialized.
virtual bool IsInitialized() = 0;
};
/// WARNING: Experimental interface, subject to change.
using ResourceMap =
std::unordered_map<std::int32_t, std::unique_ptr<ResourceBase>>;
} // namespace resource
} // namespace tflite
#endif // TENSORFLOW_LITE_EXPERIMENTAL_RESOURCE_RESOURCE_BASE_H_