EVOLUTION-MANAGER

Edit File: aggregate_ops_cpu.h

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
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http://www.apache.org/licenses/LICENSE-2.0

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distributed under the License is distributed on an "AS IS" BASIS,
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==============================================================================*/

#ifndef TENSORFLOW_CORE_KERNELS_AGGREGATE_OPS_CPU_H_
#define TENSORFLOW_CORE_KERNELS_AGGREGATE_OPS_CPU_H_

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

#include "tensorflow/core/kernels/aggregate_ops.h"

typedef Eigen::ThreadPoolDevice CPUDevice;

namespace tensorflow {

// Partial specializations for a CPUDevice, that uses the Eigen implementation
// from AddNEigenImpl.
namespace functor {
template <typename T>
struct Add2Functor<CPUDevice, T> {
  void operator()(const CPUDevice& d, typename TTypes<T>::Flat out,
                  typename TTypes<T>::ConstFlat in1,
                  typename TTypes<T>::ConstFlat in2) {
    Add2EigenImpl<CPUDevice, T>::Compute(d, out, in1, in2);
  }
};
template <typename T>
struct Add3Functor<CPUDevice, T> {
  void operator()(const CPUDevice& d, typename TTypes<T>::Flat out,
                  typename TTypes<T>::ConstFlat in1,
                  typename TTypes<T>::ConstFlat in2,
                  typename TTypes<T>::ConstFlat in3) {
    Add3EigenImpl<CPUDevice, T>::Compute(d, out, in1, in2, in3);
  }
};
template <typename T>
struct Add4Functor<CPUDevice, T> {
  void operator()(const CPUDevice& d, typename TTypes<T>::Flat out,
                  typename TTypes<T>::ConstFlat in1,
                  typename TTypes<T>::ConstFlat in2,
                  typename TTypes<T>::ConstFlat in3,
                  typename TTypes<T>::ConstFlat in4) {
    Add4EigenImpl<CPUDevice, T>::Compute(d, out, in1, in2, in3, in4);
  }
};
template <typename T>
struct Add5Functor<CPUDevice, T> {
  void operator()(const CPUDevice& d, typename TTypes<T>::Flat out,
                  typename TTypes<T>::ConstFlat in1,
                  typename TTypes<T>::ConstFlat in2,
                  typename TTypes<T>::ConstFlat in3,
                  typename TTypes<T>::ConstFlat in4,
                  typename TTypes<T>::ConstFlat in5) {
    Add5EigenImpl<CPUDevice, T>::Compute(d, out, in1, in2, in3, in4, in5);
  }
};
template <typename T>
struct Add6Functor<CPUDevice, T> {
  void operator()(const CPUDevice& d, typename TTypes<T>::Flat out,
                  typename TTypes<T>::ConstFlat in1,
                  typename TTypes<T>::ConstFlat in2,
                  typename TTypes<T>::ConstFlat in3,
                  typename TTypes<T>::ConstFlat in4,
                  typename TTypes<T>::ConstFlat in5,
                  typename TTypes<T>::ConstFlat in6) {
    Add6EigenImpl<CPUDevice, T>::Compute(d, out, in1, in2, in3, in4, in5, in6);
  }
};
template <typename T>
struct Add7Functor<CPUDevice, T> {
  void operator()(const CPUDevice& d, typename TTypes<T>::Flat out,
                  typename TTypes<T>::ConstFlat in1,
                  typename TTypes<T>::ConstFlat in2,
                  typename TTypes<T>::ConstFlat in3,
                  typename TTypes<T>::ConstFlat in4,
                  typename TTypes<T>::ConstFlat in5,
                  typename TTypes<T>::ConstFlat in6,
                  typename TTypes<T>::ConstFlat in7) {
    Add7EigenImpl<CPUDevice, T>::Compute(d, out, in1, in2, in3, in4, in5, in6,
                                         in7);
  }
};

template <typename T>
struct Add8Functor<CPUDevice, T> {
  void operator()(
      const CPUDevice& d, typename TTypes<T>::Flat out,
      typename TTypes<T>::ConstFlat in1, typename TTypes<T>::ConstFlat in2,
      typename TTypes<T>::ConstFlat in3, typename TTypes<T>::ConstFlat in4,
      typename TTypes<T>::ConstFlat in5, typename TTypes<T>::ConstFlat in6,
      typename TTypes<T>::ConstFlat in7, typename TTypes<T>::ConstFlat in8) {
    Add8EigenImpl<CPUDevice, T>::Compute(d, out, in1, in2, in3, in4, in5, in6,
                                         in7, in8);
  }
};

template <typename T>
struct Add8pFunctor<CPUDevice, T> {
  void operator()(
      const CPUDevice& d, typename TTypes<T>::Flat out,
      typename TTypes<T>::ConstFlat in1, typename TTypes<T>::ConstFlat in2,
      typename TTypes<T>::ConstFlat in3, typename TTypes<T>::ConstFlat in4,
      typename TTypes<T>::ConstFlat in5, typename TTypes<T>::ConstFlat in6,
      typename TTypes<T>::ConstFlat in7, typename TTypes<T>::ConstFlat in8) {
    Add8pEigenImpl<CPUDevice, T>::Compute(d, out, in1, in2, in3, in4, in5, in6,
                                          in7, in8);
  }
};

template <typename T>
struct Add9Functor<CPUDevice, T> {
  void operator()(
      const CPUDevice& d, typename TTypes<T>::Flat out,
      typename TTypes<T>::ConstFlat in1, typename TTypes<T>::ConstFlat in2,
      typename TTypes<T>::ConstFlat in3, typename TTypes<T>::ConstFlat in4,
      typename TTypes<T>::ConstFlat in5, typename TTypes<T>::ConstFlat in6,
      typename TTypes<T>::ConstFlat in7, typename TTypes<T>::ConstFlat in8,
      typename TTypes<T>::ConstFlat in9) {
    Add9EigenImpl<CPUDevice, T>::Compute(d, out, in1, in2, in3, in4, in5, in6,
                                         in7, in8, in9);
  }
};

}  // namespace functor

}  // namespace tensorflow

#endif  // TENSORFLOW_CORE_KERNELS_AGGREGATE_OPS_CPU_H_