| /* 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. |
| ==============================================================================*/ |
| |
| #ifndef TENSORFLOW_CORE_KERNELS_PAD_OP_H_ |
| #define TENSORFLOW_CORE_KERNELS_PAD_OP_H_ |
| // Functor definition for PadOp, must be compilable by nvcc. |
| |
| #include "third_party/eigen3/unsupported/Eigen/CXX11/Tensor" |
| #include "tensorflow/core/framework/tensor_types.h" |
| #include "tensorflow/core/platform/types.h" |
| |
| namespace tensorflow { |
| namespace functor { |
| |
| // Functor used by PadOp to do the computations. |
| template <typename Device, typename T, typename Tpadding, int Dims> |
| struct Pad { |
| // Pad "input" into "output", as specified by "paddings" and "pad_value". |
| // See pad_op.cc for details. |
| void operator()(const Device& d, typename TTypes<T, Dims>::Tensor output, |
| typename TTypes<T, Dims>::ConstTensor input, |
| Eigen::array<Eigen::IndexPair<Tpadding>, Dims> paddings, |
| T pad_value) { |
| if (Eigen::internal::is_same<Device, Eigen::GpuDevice>::value && |
| (output.size() <= std::numeric_limits<int32>::max())) { |
| To32Bit(output).device(d) = To32Bit(input).pad(paddings, pad_value); |
| } else { |
| output.device(d) = input.pad(paddings, pad_value); |
| } |
| } |
| }; |
| |
| template <typename Device, typename T, typename Tpadding> |
| struct Pad<Device, T, Tpadding, 0> { |
| // In the scalar case we simply copy the input. |
| void operator()(const Device& d, typename TTypes<T, 0>::Tensor output, |
| typename TTypes<T, 0>::ConstTensor input, |
| Eigen::array<Eigen::IndexPair<Tpadding>, 0>, T) { |
| output.device(d) = input; |
| } |
| }; |
| } // namespace functor |
| } // namespace tensorflow |
| |
| #endif // TENSORFLOW_CORE_KERNELS_PAD_OP_H_ |