| /* 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 "simple_philox.h" |
| #include "exact_uniform_int.h" |
| |
| #include <tensorflow/core/platform/logging.h> |
| |
| namespace tensorflow { |
| namespace random { |
| |
| uint32 SimplePhilox::Uniform(uint32 n) { |
| return ExactUniformInt<uint32>(n, [this]() { return Rand32(); }); |
| } |
| |
| uint64 SimplePhilox::Uniform64(uint64 n) { |
| return ExactUniformInt<uint64>(n, [this]() { return Rand64(); }); |
| } |
| |
| uint32 SimplePhilox::Skewed(int max_log) { |
| CHECK(0 <= max_log && max_log <= 32); |
| const int shift = Rand32() % (max_log + 1); |
| const uint32 mask = shift == 32 ? ~static_cast<uint32>(0) : (1 << shift) - 1; |
| return Rand32() & mask; |
| } |
| |
| } // namespace random |
| } // namespace tensorflow |