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      1 /* Copyright 2015 The TensorFlow Authors. All Rights Reserved.
      2 
      3 Licensed under the Apache License, Version 2.0 (the "License");
      4 you may not use this file except in compliance with the License.
      5 You may obtain a copy of the License at
      6 
      7     http://www.apache.org/licenses/LICENSE-2.0
      8 
      9 Unless required by applicable law or agreed to in writing, software
     10 distributed under the License is distributed on an "AS IS" BASIS,
     11 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
     12 See the License for the specific language governing permissions and
     13 limitations under the License.
     14 ==============================================================================*/
     15 
     16 #ifndef TENSORFLOW_STREAM_EXECUTOR_LIB_PTR_UTIL_H_
     17 #define TENSORFLOW_STREAM_EXECUTOR_LIB_PTR_UTIL_H_
     18 
     19 #include <memory>
     20 
     21 namespace perftools {
     22 namespace gputools {
     23 namespace port {
     24 
     25 // Trait to select overloads and return types for MakeUnique.
     26 template <typename T>
     27 struct MakeUniqueResult {
     28   using scalar = std::unique_ptr<T>;
     29 };
     30 template <typename T>
     31 struct MakeUniqueResult<T[]> {
     32   using array = std::unique_ptr<T[]>;
     33 };
     34 template <typename T, size_t N>
     35 struct MakeUniqueResult<T[N]> {
     36   using invalid = void;
     37 };
     38 
     39 // MakeUnique<T>(...) is an early implementation of C++14 std::make_unique.
     40 // It is designed to be 100% compatible with std::make_unique so that the
     41 // eventual switchover will be a simple renaming operation.
     42 template <typename T, typename... Args>
     43 typename MakeUniqueResult<T>::scalar MakeUnique(Args&&... args) {  // NOLINT
     44   return std::unique_ptr<T>(
     45       new T(std::forward<Args>(args)...));  // NOLINT(build/c++11)
     46 }
     47 
     48 // Overload for array of unknown bound.
     49 // The allocation of arrays needs to use the array form of new,
     50 // and cannot take element constructor arguments.
     51 template <typename T>
     52 typename MakeUniqueResult<T>::array MakeUnique(size_t n) {
     53   return std::unique_ptr<T>(new typename std::remove_extent<T>::type[n]());
     54 }
     55 
     56 // Reject arrays of known bound.
     57 template <typename T, typename... Args>
     58 typename MakeUniqueResult<T>::invalid MakeUnique(Args&&... /* args */) =
     59     delete;  // NOLINT
     60 
     61 }  // namespace port
     62 }  // namespace gputools
     63 }  // namespace perftools
     64 
     65 
     66 #endif  // TENSORFLOW_STREAM_EXECUTOR_LIB_PTR_UTIL_H_
     67