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67 lines
2.0 KiB
67 lines
2.0 KiB
/* Copyright 2015 The TensorFlow Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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#ifndef TENSORFLOW_CORE_LIB_RANDOM_SIMPLE_PHILOX_H_
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#define TENSORFLOW_CORE_LIB_RANDOM_SIMPLE_PHILOX_H_
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#include <math.h>
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#include <string.h>
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#include <algorithm>
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#include "philox_random.h"
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#include "random_distributions.h"
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namespace tensorflow {
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namespace random {
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// A simple imperative interface to Philox
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class SimplePhilox {
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public:
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PHILOX_DEVICE_INLINE
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explicit SimplePhilox(PhiloxRandom* gen) : single_(gen) {}
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// 32 random bits
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PHILOX_DEVICE_INLINE uint32 Rand32() { return single_(); }
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// 64 random bits
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PHILOX_DEVICE_INLINE uint64 Rand64() {
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const uint32 lo = single_(), hi = single_();
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return lo | static_cast<uint64>(hi) << 32;
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}
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// Uniform float in [0, 1)
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PHILOX_DEVICE_INLINE float RandFloat() { return Uint32ToFloat(single_()); }
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// Uniform double in [0, 1)
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PHILOX_DEVICE_INLINE double RandDouble() {
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const uint32 x0 = single_(), x1 = single_();
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return Uint64ToDouble(x0, x1);
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}
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// Skewed: pick "base" uniformly from range [0,max_log] and then
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// return "base" random bits. The effect is to pick a number in the
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// range [0,2^max_log-1] with bias towards smaller numbers.
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uint32 Skewed(int max_log);
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private:
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SingleSampleAdapter<PhiloxRandom> single_;
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};
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} // namespace random
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} // namespace tensorflow
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#endif // TENSORFLOW_CORE_LIB_RANDOM_SIMPLE_PHILOX_H_
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