| /* Copyright 2016 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. |
| ==============================================================================*/ |
| |
| #ifndef TENSORFLOW_CORE_KERNELS_CROP_AND_RESIZE_OP_H_ |
| #define TENSORFLOW_CORE_KERNELS_CROP_AND_RESIZE_OP_H_ |
| |
| #include "third_party/eigen3/unsupported/Eigen/CXX11/Tensor" |
| #include "tensorflow/core/framework/numeric_types.h" |
| #include "tensorflow/core/framework/op_kernel.h" |
| #include "tensorflow/core/framework/tensor_types.h" |
| |
| namespace tensorflow { |
| namespace functor { |
| |
| template <typename Device, typename T> |
| struct CropAndResize { |
| // We assume that the tensor sizes are correct. |
| bool operator()(const OpKernelContext* context, |
| typename TTypes<T, 4>::ConstTensor image, |
| typename TTypes<float, 2>::ConstTensor boxes, |
| typename TTypes<int32, 1>::ConstTensor box_ind, |
| const string& method_name, float extrapolation_value, |
| typename TTypes<float, 4>::Tensor crops); |
| }; |
| |
| template <typename Device, typename T> |
| struct CropAndResizeBackpropImage { |
| // We assume that the tensor sizes are correct. |
| bool operator()(const OpKernelContext* context, |
| typename TTypes<float, 4>::ConstTensor grads, |
| typename TTypes<float, 2>::ConstTensor boxes, |
| typename TTypes<int32, 1>::ConstTensor box_ind, |
| typename TTypes<T, 4>::Tensor grads_image, |
| const string& method_name); |
| }; |
| |
| template <typename Device, typename T> |
| struct CropAndResizeBackpropBoxes { |
| // We assume that the tensor sizes are correct. |
| bool operator()(const Device& d, typename TTypes<float, 4>::ConstTensor grads, |
| typename TTypes<T, 4>::ConstTensor image, |
| typename TTypes<float, 2>::ConstTensor boxes, |
| typename TTypes<int32, 1>::ConstTensor box_ind, |
| typename TTypes<float, 2>::Tensor grads_boxes); |
| }; |
| |
| template <typename Device> |
| struct CheckValidBoxIndexHelper { |
| // Checks if all values in box_index are in [0, batch). |
| void operator()(const Device& d, |
| typename TTypes<int32, 1>::ConstTensor box_index, int batch, |
| typename TTypes<bool, 0>::Tensor isvalid) { |
| isvalid.device(d) = ((box_index >= 0) && (box_index < batch)).all(); |
| } |
| }; |
| |
| } // namespace functor |
| } // namespace tensorflow |
| |
| #endif // TENSORFLOW_CORE_KERNELS_CROP_AND_RESIZE_OP_H_ |