1 /* Copyright 2016 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_IMAGEEXTRACT_IMAGE_PATCHES_OP_H_ 17 #define TENSORFLOW_CORE_KERNELS_IMAGEEXTRACT_IMAGE_PATCHES_OP_H_ 18 19 #include "third_party/eigen3/unsupported/Eigen/CXX11/Tensor" 20 #include "tensorflow/core/framework/tensor_shape.h" 21 #include "tensorflow/core/framework/tensor_types.h" 22 23 namespace tensorflow { 24 namespace functor { 25 26 template <typename Device, typename T> 27 struct ExtractImagePatchesForward { operatorExtractImagePatchesForward28 void operator()(const Device& d, typename TTypes<T, 4>::ConstTensor input, 29 int patch_rows, int patch_cols, int stride_rows, 30 int stride_cols, int rate_rows, int rate_cols, 31 const Eigen::PaddingType& padding, 32 typename TTypes<T, 4>::Tensor output) { 33 // Need to swap row/col when calling Eigen, because our data is in 34 // NHWC format while Eigen assumes NWHC format. 35 const int64 N = std::max(input.size(), output.size()); 36 if (N <= std::numeric_limits<Index32>::max()) { 37 auto output_32bit = To32Bit(output); 38 output_32bit.device(d) = 39 To32Bit(input) 40 .extract_image_patches(patch_cols, patch_rows, stride_cols, 41 stride_rows, rate_cols, rate_rows, padding) 42 .reshape(output_32bit.dimensions()); 43 } else { 44 output.device(d) = 45 input 46 .extract_image_patches(patch_cols, patch_rows, stride_cols, 47 stride_rows, rate_cols, rate_rows, padding) 48 .reshape(output.dimensions()); 49 } 50 } 51 }; 52 53 } // namespace functor 54 } // namespace tensorflow 55 56 #endif // TENSORFLOW_CORE_KERNELS_IMAGEEXTRACT_IMAGE_PATCHES_OP_H_ 57