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_LIB_RANDOM_SIMPLE_PHILOX_H_ 17 #define TENSORFLOW_LIB_RANDOM_SIMPLE_PHILOX_H_ 18 19 #include <math.h> 20 #include <string.h> 21 #include <algorithm> 22 23 #include "tensorflow/core/lib/random/philox_random.h" 24 #include "tensorflow/core/lib/random/random_distributions.h" 25 26 namespace tensorflow { 27 namespace random { 28 29 // A simple imperative interface to Philox 30 class SimplePhilox { 31 public: 32 PHILOX_DEVICE_INLINE 33 explicit SimplePhilox(PhiloxRandom* gen) : single_(gen) {} 34 35 // 32 random bits 36 PHILOX_DEVICE_INLINE uint32 Rand32() { return single_(); } 37 38 // 64 random bits 39 PHILOX_DEVICE_INLINE uint64 Rand64() { 40 const uint32 lo = single_(), hi = single_(); 41 return lo | static_cast<uint64>(hi) << 32; 42 } 43 44 // Uniform float in [0, 1) 45 PHILOX_DEVICE_INLINE float RandFloat() { return Uint32ToFloat(single_()); } 46 47 // Uniform double in [0, 1) 48 PHILOX_DEVICE_INLINE double RandDouble() { 49 const uint32 x0 = single_(), x1 = single_(); 50 return Uint64ToDouble(x0, x1); 51 } 52 53 // Uniform integer in [0, n). 54 // Uses rejection sampling, so may need more than one 32-bit sample. 55 uint32 Uniform(uint32 n); 56 57 // Approximately uniform integer in [0, n). 58 // Uses rejection sampling, so may need more than one 64-bit sample. 59 uint64 Uniform64(uint64 n); 60 61 // True with probability 1/n. 62 bool OneIn(uint32 n) { return Uniform(n) == 0; } 63 64 // Skewed: pick "base" uniformly from range [0,max_log] and then 65 // return "base" random bits. The effect is to pick a number in the 66 // range [0,2^max_log-1] with bias towards smaller numbers. 67 uint32 Skewed(int max_log); 68 69 private: 70 SingleSampleAdapter<PhiloxRandom> single_; 71 }; 72 73 } // namespace random 74 } // namespace tensorflow 75 76 #endif // TENSORFLOW_LIB_RANDOM_SIMPLE_PHILOX_H_ 77
