| /* 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. |
| ==============================================================================*/ |
| |
| #if (defined(GOOGLE_CUDA) && GOOGLE_CUDA) || \ |
| (defined(TENSORFLOW_USE_ROCM) && TENSORFLOW_USE_ROCM) |
| |
| #define EIGEN_USE_GPU |
| |
| #include "tensorflow/core/framework/register_types.h" |
| #include "tensorflow/core/kernels/extract_image_patches_op.h" |
| |
| namespace tensorflow { |
| |
| typedef Eigen::GpuDevice GPUDevice; |
| |
| namespace functor { |
| |
| #define REGISTER(T) template struct ExtractImagePatchesForward<GPUDevice, T>; |
| |
| TF_CALL_GPU_NUMBER_TYPES(REGISTER); |
| |
| #undef REGISTER |
| |
| } // end namespace functor |
| } // end namespace tensorflow |
| |
| #endif // GOOGLE_CUDA || TENSORFLOW_USE_ROCM |