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 #if GOOGLE_CUDA 17 18 #define EIGEN_USE_GPU 19 20 #include "tensorflow/core/kernels/sparse_xent_op.h" 21 22 #include "tensorflow/core/framework/tensor_types.h" 23 #include "tensorflow/core/platform/types.h" 24 25 namespace tensorflow { 26 27 typedef Eigen::GpuDevice GPUDevice; 28 29 // Partial specialization for a GPUDevice, that uses the Eigen implementation 30 // from XentEigenImpl. 31 namespace functor { 32 template <typename T, typename Index> 33 struct SparseXentFunctor<GPUDevice, T, Index> { 34 void operator()(const GPUDevice& d, typename TTypes<T>::ConstMatrix logits, 35 typename TTypes<Index>::ConstVec labels, 36 typename TTypes<T>::Vec scratch, typename TTypes<T>::Vec loss, 37 typename TTypes<T>::Matrix backprop) { 38 SparseXentEigenImpl<GPUDevice, T, Index>::Compute(d, logits, labels, 39 scratch, loss, backprop); 40 } 41 }; 42 } // end namespace functor 43 44 // Instantiate the GPU implementation for float. 45 #define REGISTER(Index) \ 46 template struct functor::SparseXentFunctor<GPUDevice, float, Index>; \ 47 template class generator::SparseXentGradGenerator<float, Index>; \ 48 template struct functor::SparseXentFunctor<GPUDevice, Eigen::half, Index>; \ 49 template class generator::SparseXentGradGenerator<Eigen::half, Index>; 50 REGISTER(int32) 51 REGISTER(int64) 52 #undef REGISTER 53 54 } // end namespace tensorflow 55 56 #endif // GOOGLE_CUDA 57
