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Roll back changes to core. Move include of TensorFunctors.h up to satisfy dependence in TensorCostModel.h.
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@ -591,47 +591,6 @@ template<typename Scalar>
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struct functor_traits<scalar_inverse_mult_op<Scalar> >
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{ enum { PacketAccess = packet_traits<Scalar>::HasDiv, Cost = NumTraits<Scalar>::template Div<PacketAccess>::Cost }; };
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/** \internal
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* \brief Template functor to compute the modulo between an array and a fixed scalar.
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*/
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template <typename Scalar>
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struct scalar_mod_op {
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EIGEN_DEVICE_FUNC scalar_mod_op(const Scalar& divisor) : m_divisor(divisor) {}
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EIGEN_DEVICE_FUNC inline Scalar operator() (const Scalar& a) const { return a % m_divisor; }
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const Scalar m_divisor;
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};
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template <typename Scalar>
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struct functor_traits<scalar_mod_op<Scalar> >
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{ enum { Cost = NumTraits<Scalar>::template Div<false>::Cost, PacketAccess = false }; };
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/** \internal
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* \brief Template functor to compute the modulo between two arrays.
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*/
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template <typename Scalar>
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struct scalar_mod2_op {
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EIGEN_EMPTY_STRUCT_CTOR(scalar_mod2_op);
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EIGEN_DEVICE_FUNC inline Scalar operator() (const Scalar& a, const Scalar& b) const { return a % b; }
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};
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template <typename Scalar>
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struct functor_traits<scalar_mod2_op<Scalar> >
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{ enum { Cost = NumTraits<Scalar>::template Div<false>::Cost, PacketAccess = false }; };
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/** \internal
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* \brief Template functor to compute the float modulo between two arrays.
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*/
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template <typename Scalar>
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struct scalar_fmod_op {
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EIGEN_EMPTY_STRUCT_CTOR(scalar_fmod_op);
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar
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operator()(const Scalar& a, const Scalar& b) const {
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return numext::fmod(a, b);
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}
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};
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template <typename Scalar>
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struct functor_traits<scalar_fmod_op<Scalar> > {
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enum { Cost = 13, // Reciprocal throughput of FPREM on Haswell.
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PacketAccess = false };
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};
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} // end namespace internal
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@ -587,33 +587,6 @@ struct functor_traits<scalar_erfc_op<Scalar> >
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};
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};
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/** \internal
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* \brief Template functor to compute the sigmoid of a scalar
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* \sa class CwiseUnaryOp, ArrayBase::sigmoid()
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*/
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template <typename T>
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struct scalar_sigmoid_op {
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EIGEN_EMPTY_STRUCT_CTOR(scalar_sigmoid_op)
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE T operator()(const T& x) const {
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const T one = T(1);
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return one / (one + numext::exp(-x));
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}
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template <typename Packet> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
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Packet packetOp(const Packet& x) const {
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const Packet one = pset1<Packet>(T(1));
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return pdiv(one, padd(one, pexp(pnegate(x))));
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}
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};
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template <typename T>
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struct functor_traits<scalar_sigmoid_op<T> > {
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enum {
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Cost = NumTraits<T>::AddCost * 2 + NumTraits<T>::MulCost * 6,
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PacketAccess = packet_traits<T>::HasAdd && packet_traits<T>::HasDiv &&
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packet_traits<T>::HasNegate && packet_traits<T>::HasExp
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};
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};
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/** \internal
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* \brief Template functor to compute the atan of a scalar
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@ -65,10 +65,10 @@ typedef unsigned __int64 uint64_t;
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#endif
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#endif
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#include "src/Tensor/TensorMacros.h"
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#include "src/Tensor/TensorForwardDeclarations.h"
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#include "src/Tensor/TensorMeta.h"
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#include "src/Tensor/TensorFunctors.h"
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#include "src/Tensor/TensorCostModel.h"
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#include "src/Tensor/TensorDeviceDefault.h"
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#include "src/Tensor/TensorDeviceThreadPool.h"
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@ -78,7 +78,6 @@ typedef unsigned __int64 uint64_t;
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#include "src/Tensor/TensorDimensions.h"
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#include "src/Tensor/TensorInitializer.h"
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#include "src/Tensor/TensorTraits.h"
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#include "src/Tensor/TensorFunctors.h"
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#include "src/Tensor/TensorUInt128.h"
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#include "src/Tensor/TensorIntDiv.h"
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@ -13,6 +13,77 @@
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namespace Eigen {
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namespace internal {
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/** \internal
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* \brief Template functor to compute the modulo between an array and a scalar.
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*/
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template <typename Scalar>
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struct scalar_mod_op {
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EIGEN_DEVICE_FUNC scalar_mod_op(const Scalar& divisor) : m_divisor(divisor) {}
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EIGEN_DEVICE_FUNC inline Scalar operator() (const Scalar& a) const { return a % m_divisor; }
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const Scalar m_divisor;
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};
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template <typename Scalar>
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struct functor_traits<scalar_mod_op<Scalar> >
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{ enum { Cost = NumTraits<Scalar>::template Div<false>::Cost, PacketAccess = false }; };
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/** \internal
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* \brief Template functor to compute the modulo between 2 arrays.
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*/
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template <typename Scalar>
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struct scalar_mod2_op {
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EIGEN_EMPTY_STRUCT_CTOR(scalar_mod2_op);
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EIGEN_DEVICE_FUNC inline Scalar operator() (const Scalar& a, const Scalar& b) const { return a % b; }
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};
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template <typename Scalar>
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struct functor_traits<scalar_mod2_op<Scalar> >
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{ enum { Cost = NumTraits<Scalar>::template Div<false>::Cost, PacketAccess = false }; };
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template <typename Scalar>
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struct scalar_fmod_op {
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EIGEN_EMPTY_STRUCT_CTOR(scalar_fmod_op);
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar
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operator()(const Scalar& a, const Scalar& b) const {
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return numext::fmod(a, b);
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}
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};
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template <typename Scalar>
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struct functor_traits<scalar_fmod_op<Scalar> > {
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enum { Cost = 13, // Reciprocal throughput of FPREM on Haswell.
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PacketAccess = false };
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};
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/** \internal
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* \brief Template functor to compute the sigmoid of a scalar
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* \sa class CwiseUnaryOp, ArrayBase::sigmoid()
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*/
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template <typename T>
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struct scalar_sigmoid_op {
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EIGEN_EMPTY_STRUCT_CTOR(scalar_sigmoid_op)
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE T operator()(const T& x) const {
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const T one = T(1);
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return one / (one + numext::exp(-x));
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}
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template <typename Packet> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
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Packet packetOp(const Packet& x) const {
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const Packet one = pset1<Packet>(T(1));
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return pdiv(one, padd(one, pexp(pnegate(x))));
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}
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};
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template <typename T>
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struct functor_traits<scalar_sigmoid_op<T> > {
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enum {
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Cost = NumTraits<T>::AddCost * 2 + NumTraits<T>::MulCost * 6,
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PacketAccess = packet_traits<T>::HasAdd && packet_traits<T>::HasDiv &&
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packet_traits<T>::HasNegate && packet_traits<T>::HasExp
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};
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};
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// Standard reduction functors
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template <typename T> struct SumReducer
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{
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