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#ifndef TENSORFLOW_KERNELS_REDUCTION_OPS_H_
#define TENSORFLOW_KERNELS_REDUCTION_OPS_H_
// Functor definitions for Reduction ops, must be compilable by nvcc.
#include <iostream>
#include "tensorflow/core/framework/tensor_types.h"
#include "third_party/eigen3/unsupported/Eigen/CXX11/Tensor"
namespace tensorflow {
namespace functor {
// When eigen3 has better implementation of AllReducer and AnyReducer,
// replaces reducers here.
// Reduction using logical_and.
struct AllReducer {
// TODO(zhifengc): Implement PacketAccess when performance matters.
static const bool PacketAccess = false;
static const bool IsStateful = false;
EIGEN_DEVICE_FUNC void reduce(const bool t, bool* accum) const {
*accum &= t;
}
EIGEN_DEVICE_FUNC bool initialize() const { return true; }
EIGEN_DEVICE_FUNC bool finalize(const bool accum) const { return accum; }
};
// Reduction using logical_or.
struct AnyReducer {
// TODO(zhifengc): Implement PacketAccess when performance matters.
static const bool PacketAccess = false;
static const bool IsStateful = false;
EIGEN_DEVICE_FUNC void reduce(const bool t, bool* accum) const {
*accum |= t;
}
EIGEN_DEVICE_FUNC bool initialize() const { return false; }
EIGEN_DEVICE_FUNC bool finalize(const bool accum) const { return accum; }
};
template <typename Device, typename OUT_T, typename IN_T,
typename ReductionAxes, typename Reducer>
void ReduceEigenImpl(const Device& d, OUT_T out, IN_T in,
const ReductionAxes& reduction_axes,
const Reducer& reducer) {
out.device(d) = in.reduce(reduction_axes, reducer);
}
template <typename Device>
struct ReduceFunctor {
template <typename OUT_T, typename IN_T, typename ReductionAxes,
typename Reducer>
static void Reduce(const Device& d, OUT_T out, IN_T in,
const ReductionAxes& reduction_axes,
const Reducer& reducer);
};
} // namespace functor
} // namespace tensorflow
#endif // TENSORFLOW_KERNELS_REDUCTION_OPS_H_
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