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- /* Copyright 2015 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.
- ==============================================================================*/
- #include "random.h"
- #include <random>
- #include "tensorflow/core/platform/mutex.h"
- #include "tensorflow/core/platform/types.h"
- namespace tensorflow {
- namespace random {
- namespace {
- std::mt19937_64* InitRngWithRandomSeed() {
- std::random_device device("/dev/urandom");
- return new std::mt19937_64(device());
- }
- std::mt19937_64 InitRngWithDefaultSeed() {
- return std::mt19937_64();
- }
- } // anonymous namespace
- uint64 New64() {
- static std::mt19937_64* rng = InitRngWithRandomSeed();
- // static mutex mu(LINKER_INITIALIZED);
- // mutex_lock l(mu);
- return (*rng)();
- }
- uint64 New64DefaultSeed() {
- static std::mt19937_64 rng = InitRngWithDefaultSeed();
- // static mutex mu(LINKER_INITIALIZED);
- // mutex_lock l(mu);
- return rng();
- }
- } // namespace random
- } // namespace tensorflow
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