/* 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_MATRIX_DIAG_OP_H_
#define TENSORFLOW_CORE_KERNELS_MATRIX_DIAG_OP_H_

// Generator definition for MatrixDiagOp, must be compilable by nvcc.

#include "third_party/eigen3/unsupported/Eigen/CXX11/Tensor"
#include "tensorflow/core/framework/tensor.h"
#include "tensorflow/core/framework/tensor_types.h"
#include "tensorflow/core/platform/types.h"

namespace tensorflow {
namespace functor {

template <typename Device, typename T>
struct MatrixDiagPart {
  EIGEN_ALWAYS_INLINE static void Compute(
      OpKernelContext* context, const Device& device,
      typename TTypes<T, 3>::ConstTensor& input,
      typename TTypes<T>::Tensor& output_original, const Eigen::Index d_lower,
      const Eigen::Index d_upper, const Eigen::Index max_diag_len,
      const T padding);
};

template <typename Device, typename T>
struct MatrixDiag {
  EIGEN_ALWAYS_INLINE static void Compute(OpKernelContext* context,
                                          const Device& device,
                                          typename TTypes<T>::ConstTensor& diag,
                                          typename TTypes<T, 3>::Tensor& output,
                                          const Eigen::Index d_lower,
                                          const Eigen::Index d_upper,
                                          const Eigen::Index max_diag_len,
                                          const T padding);
};

}  // namespace functor
}  // namespace tensorflow

#endif  // TENSORFLOW_CORE_KERNELS_MATRIX_DIAG_OP_H_
