text: /* 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_REVERSE_OP_H_
  #define TENSORFLOW_CORE_KERNELS_REVERSE_OP_H_
  
  #include "third_party/eigen3/unsupported/Eigen/CXX11/Tensor"
  #include "tensorflow/core/framework/tensor_types.h"
  
  namespace tensorflow {
  namespace functor {
  
  // Functor used by ReverseOp to do the computations.
  template <typename Device, typename T, int Dims>
  struct Reverse {
    void operator()(const Device& d, typename TTypes<T, Dims>::ConstTensor input,
                    const Eigen::array<bool, Dims>& reverse_dims,
                    typename TTypes<T, Dims>::Tensor output) {
      output.device(d) = input.reverse(reverse_dims);
    }
  };
  
  template <typename Device, typename T>
  struct Reverse<Device, T, 0> {
    void operator()(const Device& d, typename TTypes<T, 0>::ConstTensor input,
                    const Eigen::array<bool, 0>& reverse_dims,
                    typename TTypes<T, 0>::Tensor output) {
      // Reversing a scalar is copying it.
      output.device(d) = input;
    }
  };
  
  }  // namespace functor
  }  // namespace tensorflow
  
  #endif  // TENSORFLOW_CORE_KERNELS_REVERSE_OP_H_
  