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#if !GOOGLE_CUDA
#error This file must only be included when building with Cuda support
#endif
#ifndef TENSORFLOW_KERNELS_CWISE_OPS_GPU_COMMON_CU_H_
#define TENSORFLOW_KERNELS_CWISE_OPS_GPU_COMMON_CU_H_
#define EIGEN_USE_GPU
#include <complex>
#include "tensorflow/core/platform/port.h"
#include "tensorflow/core/kernels/cwise_ops.h"
#include "tensorflow/core/framework/tensor_types.h"
#include "tensorflow/core/platform/logging.h"
namespace tensorflow {
namespace functor {
typedef Eigen::GpuDevice GPUDevice;
typedef std::complex<float> complex64;
// Partial specialization of UnaryFunctor<Device=GPUDevice, Functor>.
template <typename Functor>
struct UnaryFunctor<GPUDevice, Functor> {
void operator()(const GPUDevice& d, typename Functor::tout_type out,
typename Functor::tin_type in) {
out.device(d) = in.unaryExpr(typename Functor::func());
}
};
// Partial specialization of BinaryFunctor<Device=GPUDevice, Functor>.
template <typename Functor, int NDIMS>
struct BinaryFunctor<GPUDevice, Functor, NDIMS> {
void operator()(const GPUDevice& d, typename Functor::tout_type out,
typename Functor::tin_type in0,
typename Functor::tin_type in1) {
out.device(d) = in0.binaryExpr(in1, typename Functor::func());
}
void Left(const GPUDevice& d, typename Functor::tout_type out,
typename Functor::tscalar_type scalar,
typename Functor::tin_type in) {
typedef typename Functor::out_type Tout;
typedef typename Functor::in_type Tin;
typedef typename Functor::func Binary;
typedef typename Eigen::internal::scalar_left<Tout, Tin, Binary> Unary;
out.device(d) = in.unaryExpr(Unary(scalar.data()));
}
void Right(const GPUDevice& d, typename Functor::tout_type out,
typename Functor::tin_type in,
typename Functor::tscalar_type scalar) {
typedef typename Functor::out_type Tout;
typedef typename Functor::in_type Tin;
typedef typename Functor::func Binary;
typedef typename Eigen::internal::scalar_right<Tout, Tin, Binary> Unary;
out.device(d) = in.unaryExpr(Unary(scalar.data()));
}
void BCast(const GPUDevice& d,
typename TTypes<typename Functor::out_type, NDIMS>::Tensor out,
typename TTypes<typename Functor::in_type, NDIMS>::ConstTensor in0,
typename Eigen::array<Eigen::DenseIndex, NDIMS> bcast0,
typename TTypes<typename Functor::in_type, NDIMS>::ConstTensor in1,
typename Eigen::array<Eigen::DenseIndex, NDIMS> bcast1) {
typedef typename Functor::in_type T;
typename Functor::func func;
if ((NDIMS == 2) && Functor::use_bcast_optimization &&
use_bcast_optimization<T>::value) {
const bool bcast0_all_one = AllOne<NDIMS>(bcast0);
const bool bcast1_all_one = AllOne<NDIMS>(bcast1);
if (bcast0_all_one && !bcast1_all_one) {
out.device(d) = in0.binaryExpr(in1.broadcast(bcast1), func);
return;
}
if (!bcast0_all_one && bcast1_all_one) {
out.device(d) = in0.broadcast(bcast0).binaryExpr(in1, func);
return;
}
}
out.device(d) =
in0.broadcast(bcast0).binaryExpr(in1.broadcast(bcast1), func);
}
};
template <typename T>
struct SelectFunctor<GPUDevice, T> {
void operator()(const GPUDevice& d, typename TTypes<T>::Flat out,
typename TTypes<bool>::ConstFlat cond_flat,
typename TTypes<T>::ConstFlat then_flat,
typename TTypes<T>::ConstFlat else_flat) {
out.device(d) = cond_flat.select(then_flat, else_flat);
}
};
// Macros to explicitly instantiate kernels on GPU for multiple types
// (T0, T1, etc.) for UnaryFunctor (e.g., functor:sqrt).
#define DEFINE_UNARY1(F, T) template struct UnaryFunctor<GPUDevice, F<T> >
#define DEFINE_UNARY2(F, T0, T1) \
DEFINE_UNARY1(F, T0); \
DEFINE_UNARY1(F, T1)
#define DEFINE_UNARY3(F, T0, T1, T2) \
DEFINE_UNARY2(F, T0, T1); \
DEFINE_UNARY1(F, T2)
#define DEFINE_UNARY4(F, T0, T1, T2, T3) \
DEFINE_UNARY2(F, T0, T1); \
DEFINE_UNARY2(F, T2, T3)
#define DEFINE_UNARY5(F, T0, T1, T2, T3, T4) \
DEFINE_UNARY2(F, T0, T1); \
DEFINE_UNARY3(F, T2, T3, T4)
// Macros to explicitly instantiate kernels on GPU for multiple types
// (T0, T1, etc.) for BinaryFunctor.
#define DEFINE_BINARY1(F, T) \
template struct BinaryFunctor<GPUDevice, F<T>, 1>; \
template struct BinaryFunctor<GPUDevice, F<T>, 2>; \
template struct BinaryFunctor<GPUDevice, F<T>, 3>
#define DEFINE_BINARY2(F, T0, T1) \
DEFINE_BINARY1(F, T0); \
DEFINE_BINARY1(F, T1)
#define DEFINE_BINARY3(F, T0, T1, T2) \
DEFINE_BINARY2(F, T0, T1); \
DEFINE_BINARY1(F, T2)
#define DEFINE_BINARY4(F, T0, T1, T2, T3) \
DEFINE_BINARY2(F, T0, T1); \
DEFINE_BINARY2(F, T2, T3)
#define DEFINE_BINARY5(F, T0, T1, T2, T3, T4) \
DEFINE_BINARY2(F, T0, T1); \
DEFINE_BINARY3(F, T2, T3, T4)
} // end namespace functor
} // end namespace tensorflow
#endif // TENSORFLOW_KERNELS_CWISE_OPS_GPU_COMMON_CU_H_
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