EVOLUTION-MANAGER

Edit File: pad_op.h

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,
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==============================================================================*/

#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_