1/* Copyright 2015 The TensorFlow Authors. All Rights Reserved. 2 3Licensed under the Apache License, Version 2.0 (the "License"); 4you may not use this file except in compliance with the License. 5You may obtain a copy of the License at 6 7 http://www.apache.org/licenses/LICENSE-2.0 8 9Unless required by applicable law or agreed to in writing, software 10distributed under the License is distributed on an "AS IS" BASIS, 11WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12See the License for the specific language governing permissions and 13limitations under the License. 14==============================================================================*/ 15 16#if !GOOGLE_CUDA 17#error This file must only be included when building with Cuda support 18#endif 19 20#ifndef TENSORFLOW_KERNELS_CWISE_OPS_GPU_GRADIENTS_CU_H_ 21#define TENSORFLOW_KERNELS_CWISE_OPS_GPU_GRADIENTS_CU_H_ 22 23#define EIGEN_USE_GPU 24 25#include <complex> 26 27#include "tensorflow/core/framework/tensor_types.h" 28#include "tensorflow/core/kernels/cwise_ops.h" 29#include "tensorflow/core/kernels/cwise_ops_gradients.h" 30#include "tensorflow/core/platform/types.h" 31 32#include "tensorflow/core/platform/logging.h" 33namespace tensorflow { 34namespace functor { 35 36typedef Eigen::GpuDevice GPUDevice; 37typedef std::complex<float> complex64; 38typedef std::complex<double> complex128; 39 40// Partial specialization of SimpleBinaryFunctor<Device=GPUDevice, Functor>. 41template <typename Functor> 42struct SimpleBinaryFunctor<GPUDevice, Functor> { 43 void operator()(const GPUDevice& d, typename Functor::tout_type out, 44 typename Functor::tin_type in1, 45 typename Functor::tin_type in2) { 46 To32Bit(out).device(d) = 47 To32Bit(in1).binaryExpr(in2, typename Functor::func()); 48 } 49}; 50 51// Macros to explicitly instantiate kernels on GPU for multiple types 52// (T0, T1, etc.) for SimpleBiaryFunctor (e.g., functor::tanh_grad). 53#define DEFINE_SIMPLE_BINARY1(F, T) \ 54 template struct SimpleBinaryFunctor<GPUDevice, F<T> > 55#define DEFINE_SIMPLE_BINARY2(F, T0, T1) \ 56 DEFINE_SIMPLE_BINARY1(F, T0); \ 57 DEFINE_SIMPLE_BINARY1(F, T1) 58#define DEFINE_SIMPLE_BINARY3(F, T0, T1, T2) \ 59 DEFINE_SIMPLE_BINARY2(F, T0, T1); \ 60 DEFINE_SIMPLE_BINARY1(F, T2) 61#define DEFINE_SIMPLE_BINARY4(F, T0, T1, T2, T3) \ 62 DEFINE_SIMPLE_BINARY2(F, T0, T1); \ 63 DEFINE_SIMPLE_BINARY2(F, T2, T3) 64#define DEFINE_SIMPLE_BINARY5(F, T0, T1, T2, T3, T4) \ 65 DEFINE_SIMPLE_BINARY2(F, T0, T1); \ 66 DEFINE_SIMPLE_BINARY3(F, T2, T3, T4) 67 68} // end namespace functor 69} // end namespace tensorflow 70 71#endif // TENSORFLOW_KERNELS_CWISE_OPS_GPU_GRADIENTS_CU_H_ 72