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-rw-r--r--unsupported/Eigen/CXX11/src/Tensor/TensorFunctors.h191
1 files changed, 95 insertions, 96 deletions
diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorFunctors.h b/unsupported/Eigen/CXX11/src/Tensor/TensorFunctors.h
index d73f6dc68..d96303224 100644
--- a/unsupported/Eigen/CXX11/src/Tensor/TensorFunctors.h
+++ b/unsupported/Eigen/CXX11/src/Tensor/TensorFunctors.h
@@ -20,7 +20,7 @@ namespace internal {
template <typename Scalar>
struct scalar_mod_op {
EIGEN_DEVICE_FUNC scalar_mod_op(const Scalar& divisor) : m_divisor(divisor) {}
- EIGEN_DEVICE_FUNC inline Scalar operator() (const Scalar& a) const { return a % m_divisor; }
+ EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar operator() (const Scalar& a) const { return a % m_divisor; }
const Scalar m_divisor;
};
template <typename Scalar>
@@ -33,8 +33,8 @@ struct functor_traits<scalar_mod_op<Scalar> >
*/
template <typename Scalar>
struct scalar_mod2_op {
- EIGEN_EMPTY_STRUCT_CTOR(scalar_mod2_op);
- EIGEN_DEVICE_FUNC inline Scalar operator() (const Scalar& a, const Scalar& b) const { return a % b; }
+ EIGEN_EMPTY_STRUCT_CTOR(scalar_mod2_op)
+ EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar operator() (const Scalar& a, const Scalar& b) const { return a % b; }
};
template <typename Scalar>
struct functor_traits<scalar_mod2_op<Scalar> >
@@ -42,7 +42,7 @@ struct functor_traits<scalar_mod2_op<Scalar> >
template <typename Scalar>
struct scalar_fmod_op {
- EIGEN_EMPTY_STRUCT_CTOR(scalar_fmod_op);
+ EIGEN_EMPTY_STRUCT_CTOR(scalar_fmod_op)
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar
operator()(const Scalar& a, const Scalar& b) const {
return numext::fmod(a, b);
@@ -54,50 +54,19 @@ struct functor_traits<scalar_fmod_op<Scalar> > {
PacketAccess = false };
};
-
-/** \internal
- * \brief Template functor to compute the sigmoid of a scalar
- * \sa class CwiseUnaryOp, ArrayBase::sigmoid()
- */
-template <typename T>
-struct scalar_sigmoid_op {
- EIGEN_EMPTY_STRUCT_CTOR(scalar_sigmoid_op)
- EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE T operator()(const T& x) const {
- const T one = T(1);
- return one / (one + numext::exp(-x));
- }
-
- template <typename Packet> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
- Packet packetOp(const Packet& x) const {
- const Packet one = pset1<Packet>(T(1));
- return pdiv(one, padd(one, pexp(pnegate(x))));
- }
-};
-
-template <typename T>
-struct functor_traits<scalar_sigmoid_op<T> > {
- enum {
- Cost = NumTraits<T>::AddCost * 2 + NumTraits<T>::MulCost * 6,
- PacketAccess = packet_traits<T>::HasAdd && packet_traits<T>::HasDiv &&
- packet_traits<T>::HasNegate && packet_traits<T>::HasExp
- };
-};
-
-
template<typename Reducer, typename Device>
struct reducer_traits {
enum {
Cost = 1,
- PacketAccess = false
+ PacketAccess = false,
+ IsStateful = false,
+ IsExactlyAssociative = true
};
};
// Standard reduction functors
template <typename T> struct SumReducer
{
- static const bool PacketAccess = packet_traits<T>::HasAdd;
- static const bool IsStateful = false;
-
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void reduce(const T t, T* accum) const {
internal::scalar_sum_op<T> sum_op;
*accum = sum_op(*accum, t);
@@ -133,16 +102,14 @@ template <typename T, typename Device>
struct reducer_traits<SumReducer<T>, Device> {
enum {
Cost = NumTraits<T>::AddCost,
- PacketAccess = PacketType<T, Device>::HasAdd
+ PacketAccess = PacketType<T, Device>::HasAdd,
+ IsStateful = false,
+ IsExactlyAssociative = NumTraits<T>::IsInteger
};
};
-
template <typename T> struct MeanReducer
{
- static const bool PacketAccess = packet_traits<T>::HasAdd && !NumTraits<T>::IsInteger;
- static const bool IsStateful = true;
-
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
MeanReducer() : scalarCount_(0), packetCount_(0) { }
@@ -166,16 +133,20 @@ template <typename T> struct MeanReducer
return pset1<Packet>(initialize());
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE T finalize(const T accum) const {
- return accum / scalarCount_;
+ internal::scalar_quotient_op<T> quotient_op;
+ return quotient_op(accum, T(scalarCount_));
}
template <typename Packet>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Packet finalizePacket(const Packet& vaccum) const {
- return pdiv(vaccum, pset1<Packet>(packetCount_));
+ return pdiv(vaccum, pset1<Packet>(T(packetCount_)));
}
template <typename Packet>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE T finalizeBoth(const T saccum, const Packet& vaccum) const {
internal::scalar_sum_op<T> sum_op;
- return sum_op(saccum, predux(vaccum)) / (scalarCount_ + packetCount_ * unpacket_traits<Packet>::size);
+ internal::scalar_quotient_op<T> quotient_op;
+ return quotient_op(
+ sum_op(saccum, predux(vaccum)),
+ T(scalarCount_ + packetCount_ * unpacket_traits<Packet>::size));
}
protected:
@@ -187,7 +158,10 @@ template <typename T, typename Device>
struct reducer_traits<MeanReducer<T>, Device> {
enum {
Cost = NumTraits<T>::AddCost,
- PacketAccess = PacketType<T, Device>::HasAdd
+ PacketAccess = PacketType<T, Device>::HasAdd &&
+ PacketType<T, Device>::HasDiv && !NumTraits<T>::IsInteger,
+ IsStateful = true,
+ IsExactlyAssociative = NumTraits<T>::IsInteger
};
};
@@ -218,20 +192,19 @@ struct MinMaxBottomValue<T, false, false> {
};
-template <typename T> struct MaxReducer
+template <typename T, int NaNPropagation=PropagateFast> struct MaxReducer
{
- static const bool PacketAccess = packet_traits<T>::HasMax;
- static const bool IsStateful = false;
-
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void reduce(const T t, T* accum) const {
- if (t > *accum) { *accum = t; }
+ scalar_max_op<T, T, NaNPropagation> op;
+ *accum = op(t, *accum);
}
template <typename Packet>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void reducePacket(const Packet& p, Packet* accum) const {
- (*accum) = pmax<Packet>(*accum, p);
+ scalar_max_op<T, T, NaNPropagation> op;
+ (*accum) = op.packetOp(*accum, p);
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE T initialize() const {
- return MinMaxBottomValue<T, true, Eigen::NumTraits<T>::IsInteger>::bottom_value();
+ return MinMaxBottomValue<T, /*IsMax=*/true, Eigen::NumTraits<T>::IsInteger>::bottom_value();
}
template <typename Packet>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Packet initializePacket() const {
@@ -246,33 +219,34 @@ template <typename T> struct MaxReducer
}
template <typename Packet>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE T finalizeBoth(const T saccum, const Packet& vaccum) const {
- return numext::maxi(saccum, predux_max(vaccum));
+ scalar_max_op<T, T, NaNPropagation> op;
+ return op(saccum, op.predux(vaccum));
}
};
-template <typename T, typename Device>
-struct reducer_traits<MaxReducer<T>, Device> {
+template <typename T, typename Device, int NaNPropagation>
+ struct reducer_traits<MaxReducer<T, NaNPropagation>, Device> {
enum {
Cost = NumTraits<T>::AddCost,
- PacketAccess = PacketType<T, Device>::HasMax
+ PacketAccess = PacketType<T, Device>::HasMax,
+ IsStateful = false,
+ IsExactlyAssociative = (NaNPropagation!=PropagateFast)
};
};
-
-template <typename T> struct MinReducer
+template <typename T, int NaNPropagation=PropagateFast> struct MinReducer
{
- static const bool PacketAccess = packet_traits<T>::HasMin;
- static const bool IsStateful = false;
-
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void reduce(const T t, T* accum) const {
- if (t < *accum) { *accum = t; }
+ scalar_min_op<T, T, NaNPropagation> op;
+ *accum = op(t, *accum);
}
template <typename Packet>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void reducePacket(const Packet& p, Packet* accum) const {
- (*accum) = pmin<Packet>(*accum, p);
+ scalar_min_op<T, T, NaNPropagation> op;
+ (*accum) = op.packetOp(*accum, p);
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE T initialize() const {
- return MinMaxBottomValue<T, false, Eigen::NumTraits<T>::IsInteger>::bottom_value();
+ return MinMaxBottomValue<T, /*IsMax=*/false, Eigen::NumTraits<T>::IsInteger>::bottom_value();
}
template <typename Packet>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Packet initializePacket() const {
@@ -287,24 +261,23 @@ template <typename T> struct MinReducer
}
template <typename Packet>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE T finalizeBoth(const T saccum, const Packet& vaccum) const {
- return numext::mini(saccum, predux_min(vaccum));
+ scalar_min_op<T, T, NaNPropagation> op;
+ return op(saccum, op.predux(vaccum));
}
};
-template <typename T, typename Device>
-struct reducer_traits<MinReducer<T>, Device> {
+template <typename T, typename Device, int NaNPropagation>
+ struct reducer_traits<MinReducer<T, NaNPropagation>, Device> {
enum {
Cost = NumTraits<T>::AddCost,
- PacketAccess = PacketType<T, Device>::HasMin
+ PacketAccess = PacketType<T, Device>::HasMin,
+ IsStateful = false,
+ IsExactlyAssociative = (NaNPropagation!=PropagateFast)
};
};
-
template <typename T> struct ProdReducer
{
- static const bool PacketAccess = packet_traits<T>::HasMul;
- static const bool IsStateful = false;
-
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void reduce(const T t, T* accum) const {
internal::scalar_product_op<T> prod_op;
(*accum) = prod_op(*accum, t);
@@ -313,7 +286,6 @@ template <typename T> struct ProdReducer
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void reducePacket(const Packet& p, Packet* accum) const {
(*accum) = pmul<Packet>(*accum, p);
}
-
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE T initialize() const {
internal::scalar_cast_op<int, T> conv;
return conv(1);
@@ -340,16 +312,15 @@ template <typename T, typename Device>
struct reducer_traits<ProdReducer<T>, Device> {
enum {
Cost = NumTraits<T>::MulCost,
- PacketAccess = PacketType<T, Device>::HasMul
+ PacketAccess = PacketType<T, Device>::HasMul,
+ IsStateful = false,
+ IsExactlyAssociative = true
};
};
struct AndReducer
{
- static const bool PacketAccess = false;
- static const bool IsStateful = false;
-
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void reduce(bool t, bool* accum) const {
*accum = *accum && t;
}
@@ -365,15 +336,14 @@ template <typename Device>
struct reducer_traits<AndReducer, Device> {
enum {
Cost = 1,
- PacketAccess = false
+ PacketAccess = false,
+ IsStateful = false,
+ IsExactlyAssociative = true
};
};
struct OrReducer {
- static const bool PacketAccess = false;
- static const bool IsStateful = false;
-
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void reduce(bool t, bool* accum) const {
*accum = *accum || t;
}
@@ -389,19 +359,22 @@ template <typename Device>
struct reducer_traits<OrReducer, Device> {
enum {
Cost = 1,
- PacketAccess = false
+ PacketAccess = false,
+ IsStateful = false,
+ IsExactlyAssociative = true
};
};
-
-// Argmin/Argmax reducers
+// Argmin/Argmax reducers. Returns the first occurrence if multiple locations
+// contain the same min/max value.
template <typename T> struct ArgMaxTupleReducer
{
- static const bool PacketAccess = false;
- static const bool IsStateful = false;
-
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void reduce(const T t, T* accum) const {
- if (t.second > accum->second) { *accum = t; }
+ if (t.second < accum->second) {
+ return;
+ } else if (t.second > accum->second || accum->first > t.first ) {
+ *accum = t;
+ }
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE T initialize() const {
return T(0, NumTraits<typename T::second_type>::lowest());
@@ -415,18 +388,21 @@ template <typename T, typename Device>
struct reducer_traits<ArgMaxTupleReducer<T>, Device> {
enum {
Cost = NumTraits<T>::AddCost,
- PacketAccess = false
+ PacketAccess = false,
+ IsStateful = false,
+ IsExactlyAssociative = true
};
};
template <typename T> struct ArgMinTupleReducer
{
- static const bool PacketAccess = false;
- static const bool IsStateful = false;
-
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void reduce(const T& t, T* accum) const {
- if (t.second < accum->second) { *accum = t; }
+ if (t.second > accum->second) {
+ return;
+ } else if (t.second < accum->second || accum->first > t.first) {
+ *accum = t;
+ }
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE T initialize() const {
return T(0, NumTraits<typename T::second_type>::highest());
@@ -440,7 +416,9 @@ template <typename T, typename Device>
struct reducer_traits<ArgMinTupleReducer<T>, Device> {
enum {
Cost = NumTraits<T>::AddCost,
- PacketAccess = false
+ PacketAccess = false,
+ IsStateful = false,
+ IsExactlyAssociative = true
};
};
@@ -454,6 +432,7 @@ class GaussianGenerator {
const array<T, NumDims>& std_devs)
: m_means(means)
{
+ EIGEN_UNROLL_LOOP
for (size_t i = 0; i < NumDims; ++i) {
m_two_sigmas[i] = std_devs[i] * std_devs[i] * 2;
}
@@ -461,6 +440,7 @@ class GaussianGenerator {
EIGEN_DEVICE_FUNC T operator()(const array<Index, NumDims>& coordinates) const {
T tmp = T(0);
+ EIGEN_UNROLL_LOOP
for (size_t i = 0; i < NumDims; ++i) {
T offset = coordinates[i] - m_means[i];
tmp += offset * offset / m_two_sigmas[i];
@@ -483,6 +463,25 @@ struct functor_traits<GaussianGenerator<T, Index, NumDims> > {
};
};
+template <typename Scalar>
+struct scalar_clamp_op {
+ EIGEN_DEVICE_FUNC inline scalar_clamp_op(const Scalar& _min, const Scalar& _max) : m_min(_min), m_max(_max) {}
+ EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Scalar
+ operator()(const Scalar& x) const {
+ return numext::mini(numext::maxi(x, m_min), m_max);
+ }
+ template <typename Packet>
+ EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Packet
+ packetOp(const Packet& x) const {
+ return internal::pmin(internal::pmax(x, pset1<Packet>(m_min)), pset1<Packet>(m_max));
+ }
+ const Scalar m_min;
+ const Scalar m_max;
+};
+template<typename Scalar>
+struct functor_traits<scalar_clamp_op<Scalar> >
+{ enum { Cost = 2 * NumTraits<Scalar>::AddCost, PacketAccess = (packet_traits<Scalar>::HasMin && packet_traits<Scalar>::HasMax)}; };
+
} // end namespace internal
} // end namespace Eigen