12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849505152 |
- // Copyright 2017 Google Inc. 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 NLP_SAFT_OPENSOURCE_DRAGNN_CORE_RESOURCE_CONTAINER_H_
- #define NLP_SAFT_OPENSOURCE_DRAGNN_CORE_RESOURCE_CONTAINER_H_
- #include <memory>
- #include "syntaxnet/base.h"
- #include "tensorflow/core/framework/resource_mgr.h"
- namespace syntaxnet {
- namespace dragnn {
- using tensorflow::strings::StrCat;
- // Wrapper to store a data type T in the ResourceMgr. There should be one per
- // Session->Run() call that may happen concurrently.
- template <class T>
- class ResourceContainer : public tensorflow::ResourceBase {
- public:
- explicit ResourceContainer(std::unique_ptr<T> data)
- : data_(std::move(data)) {}
- ~ResourceContainer() override {}
- T *get() { return data_.get(); }
- std::unique_ptr<T> release() { return std::move(data_); }
- string DebugString() override { return "ResourceContainer"; }
- private:
- std::unique_ptr<T> data_;
- };
- } // namespace dragnn
- } // namespace syntaxnet
- #endif // NLP_SAFT_OPENSOURCE_DRAGNN_CORE_RESOURCE_CONTAINER_H_
|