1 /* Copyright 2017 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_CORE_KERNELS_TILE_OPS_GPU_IMPL_H_ 17 #define TENSORFLOW_CORE_KERNELS_TILE_OPS_GPU_IMPL_H_ 18 19 // Header used to split up compilation of GPU tile ops. For each type you want 20 // to have tile ops, create a .cu.cc file containing 21 // 22 // #if GOOGLE_CUDA 23 // #include "tensorflow/core/kernels/tile_ops_gpu_impl.h" 24 // DEFINE_TILE_OPS(NDIM) 25 // #endif // GOGLE_CUDA 26 // 27 // where NDIM is an integer. 28 // 29 // NOTE(keveman): Eigen's int8 and string versions don't compile yet with nvcc. 30 31 #ifndef GOOGLE_CUDA 32 #error "This header must be included inside #ifdef GOOGLE_CUDA" 33 #endif 34 35 #define EIGEN_USE_GPU 36 37 #include <stdio.h> 38 #include "tensorflow/core/framework/numeric_types.h" 39 #include "tensorflow/core/kernels/tile_ops_impl.h" 40 41 #define DEFINE_DIM(T, NDIM) \ 42 template struct TileGrad<Eigen::GpuDevice, T, NDIM>; \ 43 template struct ReduceAndReshape<Eigen::GpuDevice, T, NDIM, 1>; 44 45 #define DEFINE_TILE_OPS(NDIM) \ 46 namespace tensorflow { \ 47 namespace functor { \ 48 DEFINE_DIM(int16, NDIM) \ 49 DEFINE_DIM(int32, NDIM) \ 50 DEFINE_DIM(int64, NDIM) \ 51 DEFINE_DIM(Eigen::half, NDIM) \ 52 DEFINE_DIM(float, NDIM) \ 53 DEFINE_DIM(double, NDIM) \ 54 DEFINE_DIM(complex64, NDIM) \ 55 DEFINE_DIM(complex128, NDIM) \ 56 } \ 57 } 58 59 #endif // TENSORFLOW_CORE_KERNELS_TILE_OPS_GPU_IMPL_H_ 60
