| /* 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. |
| ==============================================================================*/ |
| |
| #ifndef TENSORFLOW_CORE_KERNELS_PARAMETERIZED_TRUNCATED_NORMAL_OP_H_ |
| #define TENSORFLOW_CORE_KERNELS_PARAMETERIZED_TRUNCATED_NORMAL_OP_H_ |
| |
| #include "tensorflow/core/framework/tensor_types.h" |
| #include "tensorflow/core/lib/random/random_distributions.h" |
| |
| namespace tensorflow { |
| |
| class OpKernelContext; |
| |
| namespace functor { |
| |
| // Sample a truncated normal random variable, with mean, stddev, minval, and |
| // maxval parameters for each batch. Uses two rejection sampling algorithms |
| // described in http://rd.springer.com/article/10.1007/BF00143942 and a randn |
| // rejection sampler when most of the normal is inside the bounds. |
| // |
| // Either minval may be -infinity, or maxval may be +infinity. If the interval |
| // (minval, maxval) is empty, the result is NaN. |
| template <typename Device, typename T> |
| struct TruncatedNormalFunctor { |
| void operator()(OpKernelContext* ctx, const Device& d, int64 num_batches, |
| int64 samples_per_batch, int64 num_elements, |
| typename TTypes<T>::ConstFlat means, |
| typename TTypes<T>::ConstFlat stddevs, |
| typename TTypes<T>::ConstFlat minvals, |
| typename TTypes<T>::ConstFlat maxvals, |
| const random::PhiloxRandom& gen, |
| typename TTypes<T>::Flat output); |
| }; |
| |
| } // namespace functor |
| } // namespace tensorflow |
| |
| #endif // TENSORFLOW_CORE_KERNELS_PARAMETERIZED_TRUNCATED_NORMAL_OP_H_ |